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Publisher: Elsevier   (Total: 3162 journals)

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Showing 1 - 200 of 3162 Journals sorted alphabetically
A Practical Logic of Cognitive Systems     Full-text available via subscription   (Followers: 9)
AASRI Procedia     Open Access   (Followers: 14)
Academic Pediatrics     Hybrid Journal   (Followers: 30, SJR: 1.402, h-index: 51)
Academic Radiology     Hybrid Journal   (Followers: 22, SJR: 1.008, h-index: 75)
Accident Analysis & Prevention     Partially Free   (Followers: 88, SJR: 1.109, h-index: 94)
Accounting Forum     Hybrid Journal   (Followers: 25, SJR: 0.612, h-index: 27)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 35, SJR: 2.515, h-index: 90)
Achievements in the Life Sciences     Open Access   (Followers: 5)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 7, SJR: 0.338, h-index: 19)
Acta Astronautica     Hybrid Journal   (Followers: 396, SJR: 0.726, h-index: 43)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Biomaterialia     Hybrid Journal   (Followers: 27, SJR: 2.02, h-index: 104)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription   (Followers: 2)
Acta de Investigación Psicológica     Open Access   (Followers: 3)
Acta Ecologica Sinica     Open Access   (Followers: 8, SJR: 0.172, h-index: 29)
Acta Haematologica Polonica     Free   (Followers: 1, SJR: 0.123, h-index: 8)
Acta Histochemica     Hybrid Journal   (Followers: 3, SJR: 0.604, h-index: 38)
Acta Materialia     Hybrid Journal   (Followers: 245, SJR: 3.683, h-index: 202)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5, SJR: 0.615, h-index: 21)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.442, h-index: 21)
Acta Oecologica     Hybrid Journal   (Followers: 10, SJR: 0.915, h-index: 53)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription  
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 2, SJR: 0.311, h-index: 16)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 1)
Acta Poética     Open Access   (Followers: 4)
Acta Psychologica     Hybrid Journal   (Followers: 27, SJR: 1.365, h-index: 73)
Acta Sociológica     Open Access  
Acta Tropica     Hybrid Journal   (Followers: 6, SJR: 1.059, h-index: 77)
Acta Urológica Portuguesa     Open Access  
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 3)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 2)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.383, h-index: 19)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 6, SJR: 0.141, h-index: 3)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 3, SJR: 0.112, h-index: 2)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 6)
Acute Pain     Full-text available via subscription   (Followers: 15)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.967, h-index: 57)
Addictive Behaviors     Hybrid Journal   (Followers: 15, SJR: 1.514, h-index: 92)
Addictive Behaviors Reports     Open Access   (Followers: 8)
Additive Manufacturing     Hybrid Journal   (Followers: 9, SJR: 1.039, h-index: 5)
Additives for Polymers     Full-text available via subscription   (Followers: 22)
Advanced Cement Based Materials     Full-text available via subscription   (Followers: 3)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 137, SJR: 5.2, h-index: 222)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 11, SJR: 1.265, h-index: 53)
Advanced Powder Technology     Hybrid Journal   (Followers: 16, SJR: 0.739, h-index: 33)
Advances in Accounting     Hybrid Journal   (Followers: 8, SJR: 0.299, h-index: 15)
Advances in Agronomy     Full-text available via subscription   (Followers: 12, SJR: 2.071, h-index: 82)
Advances in Anesthesia     Full-text available via subscription   (Followers: 28, SJR: 0.169, h-index: 4)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 2)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 10, SJR: 1.054, h-index: 35)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 10, SJR: 0.801, h-index: 26)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 22, SJR: 1.286, h-index: 49)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 14, SJR: 3.31, h-index: 42)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.277, h-index: 43)
Advances in Botanical Research     Full-text available via subscription   (Followers: 2, SJR: 0.619, h-index: 48)
Advances in Cancer Research     Full-text available via subscription   (Followers: 29, SJR: 2.215, h-index: 78)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 7, SJR: 0.9, h-index: 30)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 2.139, h-index: 42)
Advances in Cell Aging and Gerontology     Full-text available via subscription   (Followers: 3)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 12)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 27, SJR: 0.183, h-index: 23)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 10, SJR: 0.665, h-index: 29)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 10, SJR: 1.268, h-index: 45)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 28, SJR: 0.938, h-index: 33)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 19, SJR: 2.314, h-index: 130)
Advances in Computers     Full-text available via subscription   (Followers: 14, SJR: 0.223, h-index: 22)
Advances in Dermatology     Full-text available via subscription   (Followers: 15)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 11)
Advances in Digestive Medicine     Open Access   (Followers: 8)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 5)
Advances in Drug Research     Full-text available via subscription   (Followers: 23)
Advances in Ecological Research     Full-text available via subscription   (Followers: 42, SJR: 3.25, h-index: 43)
Advances in Engineering Software     Hybrid Journal   (Followers: 27, SJR: 0.486, h-index: 10)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 7)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 43, SJR: 5.465, h-index: 64)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 1)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 9)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 53, SJR: 0.674, h-index: 38)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 17)
Advances in Genetics     Full-text available via subscription   (Followers: 15, SJR: 2.558, h-index: 54)
Advances in Genome Biology     Full-text available via subscription   (Followers: 8)
Advances in Geophysics     Full-text available via subscription   (Followers: 6, SJR: 2.325, h-index: 20)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 21, SJR: 0.906, h-index: 24)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 11, SJR: 0.497, h-index: 31)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 2, SJR: 0.396, h-index: 27)
Advances in Immunology     Full-text available via subscription   (Followers: 37, SJR: 4.152, h-index: 85)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 8, SJR: 1.132, h-index: 42)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 2, SJR: 1.274, h-index: 27)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 6)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 3)
Advances in Life Course Research     Hybrid Journal   (Followers: 8, SJR: 0.764, h-index: 15)
Advances in Lipobiology     Full-text available via subscription   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 9)
Advances in Marine Biology     Full-text available via subscription   (Followers: 14, SJR: 1.645, h-index: 45)
Advances in Mathematics     Full-text available via subscription   (Followers: 11, SJR: 3.261, h-index: 65)
Advances in Medical Sciences     Hybrid Journal   (Followers: 6, SJR: 0.489, h-index: 25)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 5)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 4, SJR: 1.44, h-index: 51)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 21)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 8)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 7, SJR: 0.324, h-index: 8)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 3)
Advances in Oncobiology     Full-text available via subscription   (Followers: 1)
Advances in Organ Biology     Full-text available via subscription   (Followers: 1)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 16, SJR: 2.885, h-index: 45)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 6, SJR: 0.148, h-index: 11)
Advances in Parasitology     Full-text available via subscription   (Followers: 5, SJR: 2.37, h-index: 73)
Advances in Pediatrics     Full-text available via subscription   (Followers: 24, SJR: 0.4, h-index: 28)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 10)
Advances in Pharmacology     Full-text available via subscription   (Followers: 16, SJR: 1.718, h-index: 58)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 8, SJR: 0.384, h-index: 26)
Advances in Phytomedicine     Full-text available via subscription  
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.248, h-index: 11)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 8)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 5)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 18)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 19, SJR: 1.5, h-index: 62)
Advances in Psychology     Full-text available via subscription   (Followers: 59)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 6, SJR: 0.478, h-index: 32)
Advances in Radiation Oncology     Open Access  
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 3, SJR: 0.1, h-index: 2)
Advances in Space Biology and Medicine     Full-text available via subscription   (Followers: 5)
Advances in Space Research     Full-text available via subscription   (Followers: 388, SJR: 0.606, h-index: 65)
Advances in Structural Biology     Full-text available via subscription   (Followers: 5)
Advances in Surgery     Full-text available via subscription   (Followers: 9, SJR: 0.823, h-index: 27)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 29, SJR: 1.321, h-index: 56)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 17)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 13)
Advances in Virus Research     Full-text available via subscription   (Followers: 5, SJR: 1.878, h-index: 68)
Advances in Water Resources     Hybrid Journal   (Followers: 46, SJR: 2.408, h-index: 94)
Aeolian Research     Hybrid Journal   (Followers: 6, SJR: 0.973, h-index: 22)
Aerospace Science and Technology     Hybrid Journal   (Followers: 336, SJR: 0.816, h-index: 49)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.318, h-index: 36)
African J. of Emergency Medicine     Open Access   (Followers: 6, SJR: 0.344, h-index: 6)
Ageing Research Reviews     Hybrid Journal   (Followers: 10, SJR: 3.289, h-index: 78)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 437, SJR: 1.385, h-index: 72)
Agri Gene     Hybrid Journal  
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 15, SJR: 2.18, h-index: 116)
Agricultural Systems     Hybrid Journal   (Followers: 31, SJR: 1.275, h-index: 74)
Agricultural Water Management     Hybrid Journal   (Followers: 43, SJR: 1.546, h-index: 79)
Agriculture and Agricultural Science Procedia     Open Access   (Followers: 1)
Agriculture and Natural Resources     Open Access   (Followers: 2)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 56, SJR: 1.879, h-index: 120)
Ain Shams Engineering J.     Open Access   (Followers: 5, SJR: 0.434, h-index: 14)
Air Medical J.     Hybrid Journal   (Followers: 6, SJR: 0.234, h-index: 18)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.285, h-index: 3)
Alcohol     Hybrid Journal   (Followers: 11, SJR: 0.922, h-index: 66)
Alcoholism and Drug Addiction     Open Access   (Followers: 9)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 1)
Alexandria Engineering J.     Open Access   (Followers: 1, SJR: 0.436, h-index: 12)
Alexandria J. of Medicine     Open Access   (Followers: 1)
Algal Research     Partially Free   (Followers: 10, SJR: 2.05, h-index: 20)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 2)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.46, h-index: 29)
Allergology Intl.     Open Access   (Followers: 5, SJR: 0.776, h-index: 35)
Alpha Omegan     Full-text available via subscription   (SJR: 0.121, h-index: 9)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 9, SJR: 0.158, h-index: 9)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 49, SJR: 4.289, h-index: 64)
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring     Open Access   (Followers: 4)
Alzheimer's & Dementia: Translational Research & Clinical Interventions     Open Access   (Followers: 4)
Ambulatory Pediatrics     Hybrid Journal   (Followers: 6)
American Heart J.     Hybrid Journal   (Followers: 50, SJR: 3.157, h-index: 153)
American J. of Cardiology     Hybrid Journal   (Followers: 51, SJR: 2.063, h-index: 186)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 44, SJR: 0.574, h-index: 65)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 10, SJR: 1.091, h-index: 45)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 14, SJR: 1.653, h-index: 93)
American J. of Human Genetics     Hybrid Journal   (Followers: 31, SJR: 8.769, h-index: 256)
American J. of Infection Control     Hybrid Journal   (Followers: 26, SJR: 1.259, h-index: 81)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 34, SJR: 2.313, h-index: 172)
American J. of Medicine     Hybrid Journal   (Followers: 43, SJR: 2.023, h-index: 189)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 202, SJR: 2.255, h-index: 171)
American J. of Ophthalmology     Hybrid Journal   (Followers: 62, SJR: 2.803, h-index: 148)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 6)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.249, h-index: 88)
American J. of Otolaryngology     Hybrid Journal   (Followers: 25, SJR: 0.59, h-index: 45)
American J. of Pathology     Hybrid Journal   (Followers: 27, SJR: 2.653, h-index: 228)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 27, SJR: 2.764, h-index: 154)
American J. of Surgery     Hybrid Journal   (Followers: 37, SJR: 1.286, h-index: 125)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 12, SJR: 0.653, h-index: 70)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 6)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.066, h-index: 51)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 63, SJR: 0.124, h-index: 9)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 15)
Anales de Cirugia Vascular     Full-text available via subscription  
Anales de Pediatría     Full-text available via subscription   (Followers: 3, SJR: 0.209, h-index: 27)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription   (SJR: 0.104, h-index: 3)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 5, SJR: 2.577, h-index: 7)
Analytica Chimica Acta     Hybrid Journal   (Followers: 39, SJR: 1.548, h-index: 152)
Analytical Biochemistry     Hybrid Journal   (Followers: 175, SJR: 0.725, h-index: 154)
Analytical Chemistry Research     Open Access   (Followers: 10, SJR: 0.18, h-index: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 11)
Anesthésie & Réanimation     Full-text available via subscription   (Followers: 2)
Anesthesiology Clinics     Full-text available via subscription   (Followers: 23, SJR: 0.421, h-index: 40)
Angiología     Full-text available via subscription   (SJR: 0.124, h-index: 9)
Angiologia e Cirurgia Vascular     Open Access   (Followers: 1)

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Journal Cover Advances in Ecological Research
  Journal Prestige (SJR): 3.25
  Citation Impact (citeScore): 43
  Number of Followers: 42  
    
   Full-text available via subscription Subscription journal
   ISSN (Print) 0065-2504
   Published by Elsevier Homepage  [3162 journals]
  • Chapter Five Modelling and Projecting the Response of Local Terrestrial
           Biodiversity Worldwide to Land Use and Related Pressures: The PREDICTS
           Project
    • Authors: Andy Purvis; Tim Newbold; Adriana De Palma; Sara Contu; Samantha L.L. Hill; Katia Sanchez-Ortiz; Helen R.P. Phillips; Lawrence N. Hudson; Igor Lysenko; Luca Börger; Jörn P.W. Scharlemann
      Pages: 201 - 241
      Abstract: Publication date: 2018
      Source:Advances in Ecological Research, Volume 58
      Author(s): Andy Purvis, Tim Newbold, Adriana De Palma, Sara Contu, Samantha L.L. Hill, Katia Sanchez-Ortiz, Helen R.P. Phillips, Lawrence N. Hudson, Igor Lysenko, Luca Börger, Jörn P.W. Scharlemann
      The PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) has collated ecological survey data from hundreds of published biodiversity comparisons of sites facing different land-use and related pressures, and used the resulting taxonomically and geographically broad database (abundance and occurrence data for over 50,000 species and over 30,000 sites in nearly 100 countries) to develop global biodiversity models, indicators, and projections. After outlining the science and science-policy gaps that motivated PREDICTS, this review discusses the key design decisions that helped it to achieve its objectives. In particular, we discuss basing models on a large, taxonomically, and geographically representative database, so that they may be applicable to biodiversity more broadly; space-for-time substitution, which allows estimation of pressure-state models without the need for representative time-series data; and collation of raw data rather than statistical results, greatly expanding the range of response variables that can be modelled. The heterogeneity of data in the PREDICTS database has presented a range of modelling challenges: we discuss these with a focus on our implementation of the Biodiversity Intactness Index, an indicator with considerable policy potential but which had not previously been estimated from primary biodiversity data. We then summarise the findings from analyses of how land use and related pressures affect local (α) diversity and spatial turnover (β diversity), and how these effects are mediated by ecological attributes of species. We discuss the relevance of our findings for policy, before ending with some directions of ongoing and possible future research.

      PubDate: 2018-02-26T10:01:26Z
      DOI: 10.1016/bs.aecr.2017.12.003
      Issue No: Vol. 58 (2018)
       
  • Chapter Two Novel and Disrupted Trophic Links Following Invasion in
           Freshwater Ecosystems
    • Authors: M.C. Jackson; R.J. Wasserman; J. Grey; A. Ricciardi; J.T.A. Dick; M.E. Alexander
      Pages: 55 - 97
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 57
      Author(s): M.C. Jackson, R.J. Wasserman, J. Grey, A. Ricciardi, J.T.A. Dick, M.E. Alexander
      When invasive species become integrated within a food web, they may have numerous direct and indirect impacts on the native community by creating novel trophic links, and modifying or disrupting existing ones. Here we discuss these impacts by drawing on examples from freshwater ecosystems, and argue that future research should quantify changes in such trophic interactions (i.e. the links in a food web), rather than simply focusing on traditional measures of diversity or abundance (i.e. the nodes in a food web). We conceptualise the impacts of invaders on trophic links as either direct consumption, indirect trophic effects (e.g. cascading interactions, competition) or indirect nontrophic effects (e.g. behaviour mediated). We then discuss how invader impacts on trophic links are context-dependent, varying with invader traits (e.g. feeding rates), abiotic variables (e.g. temperature, pH) and the traits of the receiving community (e.g. predators or competitors). Co-occurring invasive species and other environmental stressors, such as climate change, will also influence invader impacts on trophic links. Finally, we discuss the available methods to identify new food web interactions following invasion and to quantify how invasive species disrupt existing feeding links. Methods include direct observations in the field, laboratory trials (e.g. to quantify functional responses) and controlled mesocosm experiments to elucidate impacts on food webs. Field studies which use tracer techniques, such as stable isotope analyses, allow diet characterisation of both invaders and interacting native species in the wild. We conclude that invasive species often drastically alter food webs by creating and disrupting trophic links, and future research should be directed particularly towards disentangling the effects of invaders from other environmental stressors.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.006
      Issue No: Vol. 57 (2018)
       
  • Chapter Three Importance of Microorganisms to Macroorganisms Invasions
    • Authors: L. Amsellem; C. Brouat; O. Duron; S.S. Porter; A. Vilcinskas; B. Facon
      Pages: 99 - 146
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 57
      Author(s): L. Amsellem, C. Brouat, O. Duron, S.S. Porter, A. Vilcinskas, B. Facon
      Microorganisms comprise the majority of earth's biodiversity and are integral to biosphere processes. Biological invasions are no exception to this trend. The success of introduced macroorganisms can be deeply influenced by diverse microorganisms (bacteria, virus, fungus and protozoa) occupying the whole range of species interaction outcomes, from parasitism to obligate mutualism. This large range of interactions, often coupled with complex historical and introduction events, can result in a wide variety of ecological dynamics. In this chapter, we review different situations in which microorganisms affect biological invasions. First, we consider outcomes of microorganism loss during the introduction of alien species. Second, we discuss positive effects of microorganisms on the invasiveness of their exotic hosts. Third, we examine the influence of microorganisms hosted by native species on the success of introduced species. Finally, in an applied perspective, we envisage how microorganisms can be used (i) to better decipher invasion processes and (ii) as biological control agents.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.005
      Issue No: Vol. 57 (2018)
       
  • Chapter Four Massively Introduced Managed Species and Their Consequences
           for Plant–Pollinator Interactions
    • Authors: B. Geslin; B. Gauzens; M. Baude; I. Dajoz; C. Fontaine; M. Henry; L. Ropars; O. Rollin; E. Thébault; N.J. Vereecken
      Pages: 147 - 199
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 57
      Author(s): B. Geslin, B. Gauzens, M. Baude, I. Dajoz, C. Fontaine, M. Henry, L. Ropars, O. Rollin, E. Thébault, N.J. Vereecken
      Since the rise of agriculture, human populations have domesticated plant and animal species to fulfil their needs. With modern agriculture, a limited number of these species has been massively produced over large areas at high local densities. Like invasive species, these Massively Introduced Managed Species (MIMS) integrate local communities and can trigger cascading effects on the structure and functioning of ecosystems. Here, we focus on plant and insect MIMS in the context of plant–pollinator systems. Several crop species such as mass flowering crops (e.g. Brassica napus) and domesticated pollinating insects (e.g. Apis mellifera, Bombus terrestris) have been increasingly introduced worldwide and their impact on natural communities is addressed by an increasing number of scientific studies. First, we review the impacts of major insect and plant MIMS on natural communities by identifying how they affect other species through competition (direct and apparent competition) or facilitation (attraction, spillover). Second, we show how MIMS can alter the structure of plant–pollinator networks. We specifically analysed the position of A. mellifera from 63 published plant–pollinator webs to illustrate that MIMS can occupy a central position in the networks, leading to functional consequences. Finally, we present the features of MIMS in sensitive environments ranging from oceanic islands to protected areas, as a basis to discuss the impacts of MIMS in urban context and agrosystems. Through the case study of MIMS in plant–pollinator interactions, we thus provide here a first perspective of the role of MIMS in the functioning of ecosystems.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.007
      Issue No: Vol. 57 (2018)
       
  • Chapter Five Invasions of Host-Associated Microbiome Networks
    • Authors: C.L. Murall; J.L. Abbate; M. Puelma Touzel; E. Allen-Vercoe; S. Alizon; R. Froissart; K. McCann
      Pages: 201 - 281
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 57
      Author(s): C.L. Murall, J.L. Abbate, M. Puelma Touzel, E. Allen-Vercoe, S. Alizon, R. Froissart, K. McCann
      The study of biological invasions of ecological systems has much to offer research on within–host (WH) systems, particularly for understanding infections and developing therapies using biological agents. Thanks to the ground-work established in other fields, such as community ecology and evolutionary biology, and to modern methods of measurement and quantification, the study of microbiomes has quickly become a field at the forefront of modern systems biology. Investigations of host-associated microbiomes (e.g. for studying human health) are often centred on measuring and explaining the structure, functions and stability of these communities. This momentum promises to rapidly advance our understanding of ecological networks and their stability, resilience and resistance to invasions. However, intrinsic properties of host-associated microbiomes that differ from those of free-living systems present challenges to the development of a WH invasion ecology framework. The elucidation of principles underlying the invasibility of WH networks will ultimately help in the development of medical applications and help shape our understanding of human health and disease.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.11.002
      Issue No: Vol. 57 (2018)
       
  • Chapter One Impacts of Invasive Species on Food Webs
    • Authors: P. David; E. Thébault; O. Anneville; P.-F. Duyck; E. Chapuis; N. Loeuille
      Pages: 1 - 60
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56
      Author(s): P. David, E. Thébault, O. Anneville, P.-F. Duyck, E. Chapuis, N. Loeuille
      We review empirical studies on how bioinvasions alter food webs and how a food-web perspective may change their prediction and management. Predation is found to underlie the most spectacular damage in invaded systems, sometimes cascading down to primary producers. Indirect trophic effects (exploitative and apparent competition) also affect native species, but rarely provoke extinctions, while invaders often have positive bottom-up effects on higher trophic levels. As a result of these trophic interactions, and of nontrophic ones such as mutualisms or ecosystem engineering, invasions can profoundly modify the structure of the entire food web. While few studies have been undertaken at this scale, those that have highlight how network properties such as species richness, phenotypic diversity, and functional diversity, limit the likelihood and impacts of invasions by saturating niche space. Vulnerable communities have unsaturated niche space mainly because of evolutionary history in isolation (islands), dispersal limitation, or anthropogenic disturbance. Evolution also modulates the insertion of invaders into a food web. Exotics and natives are evolutionarily new to one another, and invasion tends to retain alien species that happen to have advantage over residents in trophic interactions. Resident species, therefore, often rapidly evolve traits to better tolerate or exploit invaders—a process that may eventually restore more balanced food webs and prevent extinctions. We discuss how network-based principles might guide management policies to better live with invaders, rather than to undertake the daunting (and often illusory) task of eradicating them one by one.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.001
      Issue No: Vol. 56 (2018)
       
  • Chapter Two The Effects of Invasive Species on the Decline in Species
           Richness
    • Authors: G. Mollot; J.H. Pantel; T.N. Romanuk
      Pages: 61 - 83
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56
      Author(s): G. Mollot, J.H. Pantel, T.N. Romanuk
      Biological invasions are one of the most important ecological disturbances that threaten native biodiversity. An expected increase in the rate of species extinction will have major effects on the structure and function of ecosystems worldwide. The goal of our study is to determine which ecological properties mediate the impact of invasive species on biodiversity loss on a global scale using a meta-analysis. We considered the role of properties such as the trophic and taxonomic position of invaders, taxonomic groups of invaded systems, the type of habitats invaded and whether the invasive species is included in a list of the most harmful invasive species for biodiversity loss. We compiled 185 studies that included 253 numerical values of changes of species richness due to species invasion. We investigated the role of trophic and taxonomic parameters of invaders, as well as the role of abiotic parameters of habitat on changes in species richness due to biological invasions. Our results show that plant invaders are highly represented (85% of all invaders studied), especially those belonging to the Poaceae family. For animals, predation seems to be the feeding behaviour associated with the greatest decrease in species richness and this relationship is independent of habitat type, with a 21% decline observed in aquatic habitats and a 27% decline in terrestrial habitats. In invaded communities, birds suffer the greatest decline in species richness (41% decline). Finally, we found that species richness declines in Europe are spatially autocorrelated, suggesting that the consequences of invasive species cannot be understood through local-scale analysis alone.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.002
      Issue No: Vol. 56 (2018)
       
  • Chapter Three Invasions Toolkit
    • Authors: S. Kamenova; T.J. Bartley; D.A. Bohan; J.R. Boutain; R.I. Colautti; I. Domaizon; C. Fontaine; A. Lemainque; I. Le Viol; G. Mollot; M.-E. Perga; V. Ravigné; F. Massol
      Pages: 85 - 182
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56
      Author(s): S. Kamenova, T.J. Bartley, D.A. Bohan, J.R. Boutain, R.I. Colautti, I. Domaizon, C. Fontaine, A. Lemainque, I. Le Viol, G. Mollot, M.-E. Perga, V. Ravigné, F. Massol
      Biological invasions exert multiple pervasive effects on ecosystems, potentially disrupting species interactions and global ecological processes. Our ability to successfully predict and manage the ecosystem-level impacts of biological invasions is strongly dependent on our capacity to empirically characterize complex biological interactions and their spatiotemporal dynamics. In this chapter, we argue that the comprehensive integration of multiple complementary tools within the explicit context of ecological networks is essential for providing mechanistic insight into invasion processes and their impact across organizational levels. We provide an overview of traditional (stable isotopes, populations genetics) and emerging (metabarcoding, citizen science) techniques and methods, and their practical implementation in the context of biological invasions. We also present several currently available models and machine-learning approaches that could be used for predicting novel or undocumented interactions, thus allowing a more robust and cost-effective forecast of network and ecosystem stability. Finally, we discuss the importance of methodological advancements on the emergence of scientific and societal challenges for investigating local and global species histories with several skill sets.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.009
      Issue No: Vol. 56 (2018)
       
  • Chapter Four Island Biogeography of Food Webs
    • Authors: F. Massol; M. Dubart; V. Calcagno; K. Cazelles; C. Jacquet; S. Kéfi; D. Gravel
      Pages: 183 - 262
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56
      Author(s): F. Massol, M. Dubart, V. Calcagno, K. Cazelles, C. Jacquet, S. Kéfi, D. Gravel
      To understand why and how species invade ecosystems, ecologists have made heavy use of observations of species colonization on islands. The theory of island biogeography, developed in the 1960s by R.H. MacArthur and E.O. Wilson, has had a tremendous impact on how ecologists understand the link between species diversity and characteristics of the habitat such as isolation and size. Recent developments have described how the inclusion of information on trophic interactions can further inform our understanding of island biogeography dynamics. Here, we extend the trophic theory of island biogeography to assess whether certain food web properties on the mainland affect colonization/extinction dynamics of species on islands. Our results highlight that both food web connectance and size on the mainland increase species diversity on islands. We also highlight that more heavily tailed degree distributions in the mainland food web correlate with less frequent but potentially more important extinction cascades on islands. The average shortest path to a basal species on islands follows a hump-shaped curve as a function of realized species richness, with food chains slightly longer than on the mainland at intermediate species richness. More modular mainland webs are also less persistent on islands. We discuss our results in the context of global changes and from the viewpoint of community assembly rules, aiming at pinpointing further theoretical developments needed to make the trophic theory of island biogeography even more useful for fundamental and applied ecology.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.004
      Issue No: Vol. 56 (2018)
       
  • Chapter Five Robustness Trade-Offs in Model Food Webs
    • Authors: T.N. Romanuk; Y. Zhou; F.S. Valdovinos; N.D. Martinez
      Pages: 263 - 291
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56
      Author(s): T.N. Romanuk, Y. Zhou, F.S. Valdovinos, N.D. Martinez
      The invasion of ecosystems by nonnative species is widely considered the greatest threat to biodiversity after habitat loss. Given limited theoretical and empirical understanding of ecological robustness to such perturbations, we simulated invasions of complex ecological networks by integrating the ‘niche model’ of food web structure and a nonlinear bioenergetic model of population dynamics. Overall, 7958 successful invasions by 100 different invaders in 150 food webs with 15–29 original species (mean 20) and 5–38% connectance (mean 16%) showed that most (61%) communities were robust to invasion in that they experienced no species loss. The distribution of robustness in terms of the fraction of native species that persisted (mean 94%) was skewed with a long tail reaching to values as low as 20%. Loss of a single species occurred less frequently (14% of cases) than ‘extinction cascades’ involving the loss of two or more species (25% of cases). These cascades were often caused by invaders with many prey species and few predator species. While low-connectance webs and webs invaded by omnivores were most likely to lose at least one additional species, high-connectance webs experiencing extinction cascades lost the most species, especially when invaded by secondary consumers. These and earlier simulation results suggest how the structure of invaded communities and the properties of invaders involve trade-offs among robustness and resistance to invasion. For example, high-connectance communities are highly resistant and robust to invasion overall but lose the most species in the relatively few cases when extinctions occur. Low-connectance webs are the least resistant and more often lack robustness but lose the fewest species in the relatively many cases when extinctions occur. Broadly speaking, these findings suggest that high connectance makes food webs rigidly resistant to invasion but more brittle once such rigidity is breached. Low-connectance webs are less rigid while more flexibly suffering fewer extinctions when extinctions occur.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.11.001
      Issue No: Vol. 56 (2018)
       
  • Chapter Six 14 Questions for Invasion in Ecological Networks
    • Authors: J.H. Pantel; D.A. Bohan; V. Calcagno; P. David; P.-F. Duyck; S. Kamenova; N. Loeuille; G. Mollot; T.N. Romanuk; E. Thébault; P. Tixier; F. Massol
      Pages: 293 - 340
      Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56
      Author(s): J.H. Pantel, D.A. Bohan, V. Calcagno, P. David, P.-F. Duyck, S. Kamenova, N. Loeuille, G. Mollot, T.N. Romanuk, E. Thébault, P. Tixier, F. Massol
      Why do some species successfully invade new environments' Which of these invasive species will alter or even reshape their new environment' The answers to these questions are simultaneously critical and complex. They are critical because invasive species can spectacularly alter their new environment, leading to native species extinctions or loss of important ecosystem functions that fundamentally reduce environmental and societal services. They are complex because invasion success in a novel environment is influenced by various attributes embedded in natural landscapes—biogeographical landscape properties, abiotic environmental characteristics, and the relationship between the invasive species and the resident species present in the new environment. We explore whether a condensed record of the relationships among species, in the form of a network, contains the information needed to understand and predict invasive species success and subsequent impacts. Applying network theory to study invasive species is a relatively novel approach. For this reason, much research will be needed to incorporate existing ecological properties into a network framework and to identify which network features hold the information needed to understand and predict whether or not an invasive species is likely to establish or come to dominate a novel environment. This paper asks and begins to answer the 14 most important questions that biologists must address to integrate network analysis into the study of invasive species. Answering these questions can help ecologists produce a practical monitoring scheme to identify invasive species before they substantially alter native environments or to provide solutions to mitigate their harmful impacts.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.10.008
      Issue No: Vol. 56 (2018)
       
  • Chapter One The Unique Contribution of Rothamsted to Ecological Research
           at Large Temporal Scales
    • Authors: J. Storkey; A.J. Macdonald; J.R. Bell; I.M. Clark; A.S. Gregory; N.J. Hawkins; P.R. Hirsch; L.C. Todman; A.P. Whitmore
      Pages: 3 - 42
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): J. Storkey, A.J. Macdonald, J.R. Bell, I.M. Clark, A.S. Gregory, N.J. Hawkins, P.R. Hirsch, L.C. Todman, A.P. Whitmore
      The Rothamsted Estate in Hertfordshire, United Kingdom, is home to the longest running ecological and agricultural experiments in the world that have generated unique data sets on the assembly and functioning of ecosystems that stretch back more than 170 years. In addition, the Rothamsted Sample Archive contains over 300,000 samples of dried soil, herbage, straw and grain dating back to the start of the first experiments. Additional long-term experiments were set up in the mid-1900s and the systematic sampling of invertebrates at Rothamsted started in 1964, which continues to this day in the form of the Rothamsted Insect Survey. Here, we introduce the resources available at Rothamsted for research on ecological processes that can only be understood using data over long time periods. Rather than cataloguing all the work that has been done using the data, we focus on new advances made in the last decade in areas of environmental monitoring, community ecology, evolutionary biology, ecosystem stability and resilience and microbial ecology. The combination of long-term data sets with archived plant and soil samples together with new analytical techniques mean that the Rothamsted long-term experiments and insect collections continue to be as relevant and valuable to scientists today as when they were originally set up.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.002
      Issue No: Vol. 55 (2018)
       
  • Chapter Two How Agricultural Intensification Affects Biodiversity and
           Ecosystem Services
    • Authors: M. Emmerson; M.B. Morales; J.J. Oñate; P. Batáry; F. Berendse; J. Liira; T. Aavik; I. Guerrero; R. Bommarco; S. Eggers; T. Pärt; T. Tscharntke; W. Weisser; L. Clement; J. Bengtsson
      Pages: 43 - 97
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): M. Emmerson, M.B. Morales, J.J. Oñate, P. Batáry, F. Berendse, J. Liira, T. Aavik, I. Guerrero, R. Bommarco, S. Eggers, T. Pärt, T. Tscharntke, W. Weisser, L. Clement, J. Bengtsson
      As the world's population continues to grow, the demand for food, fodder, fibre and bioenergy will increase. In Europe, the Common Agricultural Policy (CAP) has driven the intensification of agriculture, promoting the simplification and specialization of agroecosystems through the decline in landscape heterogeneity, the increased use of chemicals per unit area, and the abandonment of less fertile areas. In combination, these processes have eroded the quantity and quality of habitat for many plants and animals, and hence decreased biodiversity and the abundance of species across a hierarchy of trophic levels and spatial scales within Europe. This biodiversity loss has led to profound changes in the functioning of European agroecosystems over the last 50 years. Here, we synthesize the findings from a large-scale pan-European investigation of the combined effects of agricultural intensification on a range of agroecosystem services. These include (1) the persistence of high conservation value species; (2) the level of biological control of agricultural pests and (3) the functional diversity of a number of taxonomic groups, including birds, beetles and arable weeds. The study encompasses a gradient of geography-bioclimate and agricultural intensification that enables the large-scale measurement of ecological impacts of agricultural intensification across European agroecosystems. We provide an overview of the role of the CAP as a driver of agricultural intensification in the European Union, and we demonstrate compelling negative relationships between the application of pesticides and the various components of biodiversity studied on a pan-European scale.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.005
      Issue No: Vol. 55 (2018)
       
  • Chapter Three Litter Decomposition as an Indicator of Stream Ecosystem
           Functioning at Local-to-Continental Scales
    • Authors: E. Chauvet; V. Ferreira; P.S. Giller; B.G. McKie; S.D. Tiegs; G. Woodward; A. Elosegi; M. Dobson; T. Fleituch; M.A.S. Graça; V. Gulis; S. Hladyz; J.O. Lacoursière; A. Lecerf; J. Pozo; E. Preda; M. Riipinen; G. Rîşnoveanu; A. Vadineanu; L.B.-M. Vought; M.O. Gessner
      Pages: 99 - 182
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): E. Chauvet, V. Ferreira, P.S. Giller, B.G. McKie, S.D. Tiegs, G. Woodward, A. Elosegi, M. Dobson, T. Fleituch, M.A.S. Graça, V. Gulis, S. Hladyz, J.O. Lacoursière, A. Lecerf, J. Pozo, E. Preda, M. Riipinen, G. Rîşnoveanu, A. Vadineanu, L.B.-M. Vought, M.O. Gessner
      RivFunction is a pan-European initiative that started in 2002 and was aimed at establishing a novel functional-based approach to assessing the ecological status of rivers. Litter decomposition was chosen as the focal process because it plays a central role in stream ecosystems and is easy to study in the field. Impacts of two stressors that occur across the continent, nutrient pollution and modified riparian vegetation, were examined at >200 paired sites in nine European ecoregions. In response to the former, decomposition was dramatically slowed at both extremes of a 1000-fold nutrient gradient, indicating nutrient limitation in unpolluted sites, highly variable responses across Europe in moderately impacted streams, and inhibition via associated toxic and additional stressors in highly polluted streams. Riparian forest modification by clear cutting or replacement of natural vegetation by plantations (e.g. conifers, eucalyptus) or pasture produced similarly complex responses. Clear effects caused by specific riparian disturbances were observed in regionally focused studies, but general trends across different types of riparian modifications were not apparent, in part possibly because of important indirect effects. Complementary field and laboratory experiments were undertaken to tease apart the mechanistic drivers of the continental scale field bioassays by addressing the influence of litter, fungal and detritivore diversity. These revealed generally weak and context-dependent effects on decomposition, suggesting high levels of redundancy (and hence potential insurance mechanisms that can mitigate a degree of species loss) within the food web. Reduced species richness consistently increased decomposition variability, if not the absolute rate. Further field studies were aimed at identifying important sources of this variability (e.g. litter quality, temporal variability) to help constrain ranges of predicted decomposition rates in different field situations. Thus, although many details still need to be resolved, litter decomposition holds considerable potential in some circumstances to capture impairment of stream ecosystem functioning. For instance, species traits associated with the body size and metabolic capacity of the consumers were often the main driver at local scales, and these were often translated into important determinants of otherwise apparently contingent effects at larger scales. Key insights gained from conducting continental scale studies included resolving the apparent paradox of inconsistent relationships between nutrients and decomposition rates, as the full complex multidimensional picture emerged from the large-scale dataset, of which only seemingly contradictory fragments had been seen previously.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.006
      Issue No: Vol. 55 (2018)
       
  • Chapter Four Unravelling the Impacts of Micropollutants in Aquatic
           Ecosystems
    • Authors: C. Stamm; K. Räsänen; F.J. Burdon; F. Altermatt; J. Jokela; A. Joss; M. Ackermann; R.I.L. Eggen
      Pages: 183 - 223
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): C. Stamm, K. Räsänen, F.J. Burdon, F. Altermatt, J. Jokela, A. Joss, M. Ackermann, R.I.L. Eggen
      Human-induced environmental changes are causing major shifts in ecosystems around the globe. To support environmental management, scientific research has to infer both general trends and context dependency in these shifts at global and local scales. Combining replicated real-world experiments, which take advantage of implemented mitigation measures or other forms of human impact, with research-led experimental manipulations can provide powerful scientific tools for inferring causal drivers of ecological change and the generality of their effects. Additionally, combining these two approaches can facilitate communication with stakeholders involved in implementing management strategies. We demonstrate such an integrative approach using the case study EcoImpact, which aims at empirically unravelling the impacts of wastewater-born micropollutants on aquatic ecosystems.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.07.002
      Issue No: Vol. 55 (2018)
       
  • Chapter Five The Colne Estuary
    • Authors: D.B. Nedwell; G.J.C. Underwood; T.J. McGenity; C. Whitby; A.J. Dumbrell
      Pages: 227 - 281
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): D.B. Nedwell, G.J.C. Underwood, T.J. McGenity, C. Whitby, A.J. Dumbrell
      Research spanning over 40 years has examined many aspects of the microbial ecology of the Colne estuary (Essex, United Kingdom) and it is arguably the most comprehensively understood temperate estuary in the Northern hemisphere. The hypernutrified Colne estuary exhibits strong gradients of nutrient concentrations (nitrate, ammonium, phosphate, dissolved organic nitrogen) from river and treated sewage inputs at the top of the estuary, with concentrations decreasing towards the estuary mouth. These strong concentration gradients facilitate the study of the biogeochemical process rates and the microbial communities responsible. Planktonic primary production is at an oligotrophic level because of light limitation in the turbid water, but a mixed water column maintains planktonic photosynthesis despite low light. Dense microphytobenthic biofilms occur throughout the estuary, with high rates of annual primary production typical of NW European nutrient-rich estuaries, but benthic primary production accounts for only a small proportion of the N load to the estuary. Organic matter degradation is focussed in the estuarine sediments, with greatest organic content in the upper estuary, decreasing towards the mouth. Benthic biogeochemical processes, leading to organic mineralisation and element recycling, including O2 uptake, sulphate reduction, methanogenesis, nitrate reduction, denitrification and anammox have all been quantified along the estuary, together with chemolithotrophic nitrification. Benthic denitrification removes a significant proportion of the N load to the estuary. Molecular techniques, including profiling, identification and quantification of 16S rRNA and key functional genes, have provided an understanding of the microbial communities in relation to position and biogeochemical activity. The concentrations and emissions of biological volatile compounds (nitrous oxide, methane, hydrogen sulphide and isoprene) have also been measured, and their ecological significance elucidated. Tidal exchange between the saltmarshes and the main estuary channel shows seasonal variation. When nitrate in tidal water is high in spring, the marsh sediments remove it, but tidally export ammonium and small particles of organic nitrogen to the estuary in summer when nitrogen in coastal water is low. Overall, the saltmarshes show a balanced nitrogen cycle suggestive of a stable climax community, but capable of responding to and removing increased nitrate concentrations in estuarine waters. These data, originating from the long-term study of a single system, are unique and this paper highlights how the Colne estuary microbial ecology observatory has contributed to our understanding of estuarine microbial ecology and biogeochemistry.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.004
      Issue No: Vol. 55 (2018)
       
  • Chapter Six Locally Extreme Environments as Natural Long-Term Experiments
           in Ecology
    • Authors: I. Maček; D. Vodnik; H. Pfanz; E. Low-Décarie; A.J. Dumbrell
      Pages: 283 - 323
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): I. Maček, D. Vodnik, H. Pfanz, E. Low-Décarie, A.J. Dumbrell
      Many natural phenomena and ecological processes take place extremely slowly, requiring both long-term observations and experiments to investigate them. An alternative is to investigate natural systems that have long-term and stable environmental conditions that are opposed to those of the surrounding ecosystem. Locally extreme environments provide an example of this, and are a powerful tool for the study of slower ecological and evolutionary processes, allowing the investigation of longer term mechanisms at logistically tractable spatial and temporal scales. These systems can be used to gain insight into adaptation of natural communities and their ecological networks. We present a case study and review the literature investigating biological communities at terrestrial mofettes—natural sites with constant geogenic CO2 exhalations and consequent soil hypoxia. Mofettes are often used as natural analogues to future conditions predicted by current climate change scenarios, as model ecosystems for environmental impact assessments of carbon capture and storage systems and for the investigation of physiological, ecological and evolutionary studies of a range of phylogenetically distinct organisms across spatial scales. The scientific power of locally extreme environments is just starting to be harnessed and these systems are bound to provide growing insight into long-term ecological processes, which will be essential for our capacity to adequately manage ecosystems and predict ecological and evolutionary responses to global change.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.001
      Issue No: Vol. 55 (2018)
       
  • Chapter Seven Climate-Driven Range Shifts Within Benthic Habitats Across a
           Marine Biogeographic Transition Zone
    • Authors: N. Mieszkowska; H.E. Sugden
      Pages: 325 - 369
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): N. Mieszkowska, H.E. Sugden
      Anthropogenic climate change is causing unprecedented rapid responses in marine communities, with species across many different taxonomic groups showing faster shifts in biogeographic ranges than in any other ecosystem. Spatial and temporal trends for many marine species are difficult to quantify, however, due to the lack of long-term datasets across complete geographical distributions and the occurrence of small-scale variability from both natural and anthropogenic drivers. Understanding these changes requires a multidisciplinary approach to bring together patterns identified within long-term datasets and the processes driving those patterns using biologically relevant mechanistic information to accurately attribute cause and effect. This must include likely future biological responses, and detection of the underlying mechanisms in order to scale up from the organismal level to determine how communities and ecosystems are likely to respond across a range of future climate change scenarios. Using this multidisciplinary approach will improve the use of robust science to inform the development of fit-for-purpose policy to effectively manage marine environments in this rapidly changing world.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.007
      Issue No: Vol. 55 (2018)
       
  • Chapter Eight Cross-Scale Approaches to Forecasting Biogeographic
           Responses to Climate Change
    • Authors: J.L. Torossian; R.L. Kordas; B. Helmuth
      Pages: 371 - 433
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): J.L. Torossian, R.L. Kordas, B. Helmuth
      The emphasis in recent scientific studies has gradually shifted from merely documenting the numerous biological impacts of global climate change to developing predictive tools that help forecast which organisms, ecosystems and locations are most (and least) likely to be affected. This work often focuses on two very different scales of approach: the impacts of environmental change on individual organisms and their physiological vulnerability; and large-scale, biogeographic shifts in patterns of species distributions. While both scales of research are important and potentially informative of one another, with a few key exceptions, biogeographic (large scale) and physiological (small scale) approaches often operate in isolation from one another. There is a general consensus that a better understanding of mechanistic drivers will likely improve our ability to develop a more predictive framework. To this end, experimental and theoretical research has begun to tease apart the complexities of how changes in climate (as reflected in weather) ultimately translate into changes in growth, survival, productivity, species distribution and abundances, and the provision of ecosystem services. Yet, considerable debate still remains over how much detail is required to make effective predictions. Many authors have raised concerns about the implicit assumptions inherent in biological forecasts and while we cannot wait for perfect models before acting, oversimplifications can lead to unintended consequences. Additionally, what makes one forecasting method “good enough” or one approach “better” than another may depend largely on the application to which the predictions are being made. This review explores and summarizes the concerns raised by researchers working on problems at diverse scales and offers suggestions of how cross-scale research can best avoid potential pitfalls while preparing society for the ongoing impacts of climate change.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.003
      Issue No: Vol. 55 (2018)
       
  • Chapter Nine Shifting Impacts of Climate Change
    • Authors: L.C. Andresen; C. Müller; G. de Dato; J.S. Dukes; B.A. Emmett; M. Estiarte; A. Jentsch; G. Kröel-Dulay; A. Lüscher; S. Niu; J. Peñuelas; P.B. Reich; S. Reinsch; R. Ogaya; I.K. Schmidt; M.K. Schneider; M. Sternberg; A. Tietema; K. Zhu; M.C. Bilton
      Pages: 437 - 473
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): L.C. Andresen, C. Müller, G. de Dato, J.S. Dukes, B.A. Emmett, M. Estiarte, A. Jentsch, G. Kröel-Dulay, A. Lüscher, S. Niu, J. Peñuelas, P.B. Reich, S. Reinsch, R. Ogaya, I.K. Schmidt, M.K. Schneider, M. Sternberg, A. Tietema, K. Zhu, M.C. Bilton
      Field experiments that expose terrestrial ecosystems to climate change factors by manipulations are expensive to maintain, and typically only last a few years. Plant biomass is commonly used to assess responses to climate treatments and to predict climate change impacts. However, response to the treatments might be considerably different between the early years and a decade later. The aim of this data analysis was to develop and apply a method for evaluating changes in plant biomass responses through time, in order to provide a firm basis for discussing how the ‘short-term’ response might differ from the ‘long-term’ response. Across 22 sites situated in the northern hemisphere, which covered three continents, and multiple ecosystems (grasslands, shrublands, moorlands, forests, and deserts), we evaluated biomass datasets from long-term experiments with exposure to elevated CO2 (eCO2), warming, or drought. We developed methods for assessing biomass response patterns to the manipulations using polynomial and linear (piecewise) model analysis and linked the responses to site-specific variables such as temperature and rainfall. Polynomial patterns across sites indicated changes in response direction over time under eCO2, warming, and drought. In addition, five distinct pattern types were confirmed within sites: ‘no response’, ‘delayed response’, ‘directional response’, ‘dampening response’, and ‘altered response’ patterns. We found that biomass response direction was as likely to change over time as it was to be consistent, and therefore suggest that climate manipulation experiments should be carried out over timescales covering both short- and long-term responses, in order to realistically assess future impacts of climate change.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.07.001
      Issue No: Vol. 55 (2018)
       
  • Chapter Ten Recovery and Nonrecovery of Freshwater Food Webs from the
           Effects of Acidification
    • Authors: C. Gray; A.G. Hildrew; X. Lu; A. Ma; D. McElroy; D. Monteith; E. O’Gorman; E. Shilland; G. Woodward
      Pages: 475 - 534
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): C. Gray, A.G. Hildrew, X. Lu, A. Ma, D. McElroy, D. Monteith, E. O’Gorman, E. Shilland, G. Woodward
      Many previous attempts to understand how ecological networks respond to and recover from environmental stressors have been hindered by poorly resolved and unreplicated food web data. Few studies have assessed how the topological structure of large, replicated collections of food webs recovers from perturbations. We analysed food web data taken from 23 UK freshwaters, sampled repeatedly over 24 years, yielding a collection of 442 stream and lake food webs. Our main goal was to determine the effect of acidity on food web structure and to analyse the way food web structure recovered from the effects of acidity over time. Long-term monotonic reversals of acidification were evident at many of the sites, but the ecological responses were generally far less evident than chemical changes, or absent. Across the acidity gradient, food web linkage density and network efficiency declined with increasing acidity, while node redundancy (i.e. trophic similarity among species within a web) increased. Within individual sites, connectance, linkage density, trophic height, resource vulnerability and network efficiency tended to increase over time as sites recovered from acidification, while consumer generality and node redundancy tended to decrease. There was evidence for a lag in biological recovery, as those sites showing a recovery in both their biology and their chemistry were a nested subset of those which only showed a chemistry trend. These findings support the notion that food web structure is fundamentally altered by acidity, and that inertia within the food web may be hindering biological recovery. This suggestion of lagged recovery highlights the importance of long-term monitoring when assessing the impacts of anthropogenic stressors on the natural world. This temporal dimension, and recognition that species interactions can shape community dynamics, is missing from most national biomonitoring schemes, which often rely on space-for-time proxies.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.009
      Issue No: Vol. 55 (2018)
       
  • Chapter Eleven Effective River Restoration in the 21st Century
    • Authors: N. Friberg; N.V. Angelopoulos; A.D. Buijse; I.G. Cowx; J. Kail; T.F. Moe; H. Moir; M.T. O’Hare; P.F.M. Verdonschot; C. Wolter
      Pages: 535 - 611
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): N. Friberg, N.V. Angelopoulos, A.D. Buijse, I.G. Cowx, J. Kail, T.F. Moe, H. Moir, M.T. O’Hare, P.F.M. Verdonschot, C. Wolter
      This paper is a comprehensive and updated overview of river restoration and covers all relevant aspects from drivers of restoration, linkages between hydromorphology and biota, the current restoration paradigm, effects of restorations to future directions and ways forward in the way we conduct river restoration. A large part of this paper is based on the outcomes of the REFORM (REstoring rivers FOR effective catchment Management, http://reformrivers.eu/) project that was funded by EU's 7th Framework Programme (2011–15). REFORM included the most comprehensive comparison, to date, of existing river restorations across Europe and their effect on biota, both in relation to preintervention state and project size in terms of river length restored. The REFORM project outcomes are supplemented by an extensive literature review and two case studies to illustrate key points. We conclude that river restorations conducted up until now have had highly variable effects with, on balance, more positives than negatives. The largest positive effects have interestingly been in terrestrial and semiaquatic organism groups, in widening projects, while positive effects on truly aquatic organisms groups are only seen when in-stream measures are applied. The positive responses of biota are primarily seen as increased abundance of organisms with very little indication that overall biodiversity has increased: specific traits rather than mere species number or total abundance have benefited from restoration interventions. This modest success rate can partly be attributed to the fact that the catchment filter is largely ignored; large-scale pressures related to catchment land use or the lack of source populations for the recolonisation of the restored habitats are inadequately considered. The key reason for this shortfall is a lack of clear objective setting and planning processes. Furthermore, we suggest that there has been a focus on form rather than processes and functioning in river restoration, which has truncated the evolution of geomorphic features and any dynamic interaction with biota. Finally, monitoring of restoration outcomes is still rare and often uses inadequate statistical designs and inappropriate biological methods which hamper our ability to detect change.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.010
      Issue No: Vol. 55 (2018)
       
  • Chapter Twelve Recommendations for the Next Generation of Global
           Freshwater Biological Monitoring Tools
    • Authors: M.C. Jackson; O.L.F. Weyl; F. Altermatt; I. Durance; N. Friberg; A.J. Dumbrell; J.J. Piggott; S.D. Tiegs; K. Tockner; C.B. Krug; P.W. Leadley; G. Woodward
      Pages: 615 - 636
      Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55
      Author(s): M.C. Jackson, O.L.F. Weyl, F. Altermatt, I. Durance, N. Friberg, A.J. Dumbrell, J.J. Piggott, S.D. Tiegs, K. Tockner, C.B. Krug, P.W. Leadley, G. Woodward
      Biological monitoring has a long history in freshwaters, where much of the pioneering work in this field was developed over a 100 years ago—but few of the traditional monitoring tools provide the global perspective on biodiversity loss and its consequences for ecosystem functioning that are now needed. Rather than forcing existing monitoring paradigms to respond to questions they were never originally designed to address, we need to take a step back and assess the prospects for novel approaches that could be developed and adopted in the future. To resolve some of the issues with indicators currently used to inform policymakers, we highlight new biological monitoring tools that are being used, or could be developed in the near future, which (1) consider less-studied taxonomic groups, (2) are standardised across regions to allow global comparisons, and (3) measure change over multiple time points. The new tools we suggest make use of some of the key technological and logistical advances seen in recent years—including remote sensing, molecular tools, and local-to-global citizen science networks. We recommend that these new indicators should be considered in future assessments of freshwater ecosystem health and contribute to the evidence base for global to regional (and national) assessments of biodiversity and ecosystem services: for example, within the emerging framework of the Intergovernmental Platform on Biodiversity and Ecosystem Services.

      PubDate: 2018-03-20T17:15:16Z
      DOI: 10.1016/bs.aecr.2016.08.008
      Issue No: Vol. 55 (2018)
       
  • Advances in Ecological Research Volume 1–57
    • Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 57


      PubDate: 2018-03-20T17:15:16Z
       
  • Series Page
    • Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56


      PubDate: 2018-03-20T17:15:16Z
       
  • Advances in Ecological Research Volume 1–56
    • Abstract: Publication date: 2017
      Source:Advances in Ecological Research, Volume 56


      PubDate: 2018-03-20T17:15:16Z
       
  • Series Page
    • Abstract: Publication date: 2016
      Source:Advances in Ecological Research, Volume 55


      PubDate: 2018-03-20T17:15:16Z
       
  • Series Page
    • Abstract: Publication date: 2018
      Source:Advances in Ecological Research, Volume 58


      PubDate: 2018-02-26T10:01:26Z
       
  • Acknowledgements
    • Abstract: Publication date: 2018
      Source:Advances in Ecological Research, Volume 58


      PubDate: 2018-02-26T10:01:26Z
       
  • Advances in Ecological Research Volume 1–58
    • Abstract: Publication date: 2018
      Source:Advances in Ecological Research, Volume 58


      PubDate: 2018-02-26T10:01:26Z
       
  • Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity:
           Study Design, Time, Space and Synthesis
    • Authors: Adriana De Palma; Katia Sanchez Ortiz; Phillip A. Martin; Amy Chadwick; Guillermo Gilbert; Amanda E. Bates; Luca Börger; Sara Contu; Samantha L.L. Hill; Andy Purvis
      Abstract: Publication date: Available online 3 February 2018
      Source:Advances in Ecological Research
      Author(s): Adriana De Palma, Katia Sanchez Ortiz, Phillip A. Martin, Amy Chadwick, Guillermo Gilbert, Amanda E. Bates, Luca Börger, Sara Contu, Samantha L.L. Hill, Andy Purvis
      Land use has already reshaped local biodiversity on Earth, with effects expected to increase as human populations continue to grow in both numbers and prosperity. An accurate depiction of the state of biodiversity on our planet, combined with identifying the mechanisms driving local biodiversity change, underpins our ability to predict how different societal priorities and actions will influence biodiversity trajectories. Quantitative syntheses provide a fundamental tool by taking information from multiple sources to identify generalisable patterns. However, syntheses, by definition, combine data sources that have fundamentally different purposes, contexts, designs and sources of error and bias; they may thus provide contradictory results, not because of the biological phenomena of interest, but due instead to combining diverse data. While much attention has been focussed on the use of space-for-time substitution methods to estimate the impact of land-use change on terrestrial biodiversity, we show that the most common study designs all face challenges—either conceptual or logistical—that may lead to faulty inferences and ultimately mislead quantitative syntheses. We outline these study designs along with their advantages and difficulties, and how quantitative syntheses can combine the strengths of each class of design.

      PubDate: 2018-02-05T12:18:03Z
      DOI: 10.1016/bs.aecr.2017.12.004
       
  • Biomonitoring for the 21st Century: Integrating Next-Generation Sequencing
           Into Ecological Network Analysis
    • Authors: Stéphane A.P. Derocles; David A. Bohan; Alex J. Dumbrell; James J.N. Kitson; François Massol; Charlie Pauvert; Manuel Plantegenest; Corinne Vacher; Darren M. Evans
      Abstract: Publication date: Available online 3 February 2018
      Source:Advances in Ecological Research
      Author(s): Stéphane A.P. Derocles, David A. Bohan, Alex J. Dumbrell, James J.N. Kitson, François Massol, Charlie Pauvert, Manuel Plantegenest, Corinne Vacher, Darren M. Evans
      Ecological network analysis (ENA) provides a mechanistic framework for describing complex species interactions, quantifying ecosystem services, and examining the impacts of environmental change on ecosystems. In this chapter, we highlight the importance and potential of ENA in future biomonitoring programs, as current biomonitoring indicators (e.g. species richness, population abundances of targeted species) are mostly descriptive and unable to characterize the mechanisms that underpin ecosystem functioning. Measuring the robustness of multilayer networks in the long term is one way of integrating ecological metrics more generally into biomonitoring schemes to better measure biodiversity and ecosystem functioning. Ecological networks are nevertheless difficult and labour-intensive to construct using conventional approaches, especially when building multilayer networks in poorly studied ecosystems (i.e. many tropical regions). Next-generation sequencing (NGS) provides unprecedented opportunities to rapidly build highly resolved species interaction networks across multiple trophic levels, but are yet to be fully exploited. We highlight the impediments to ecologists wishing to build DNA-based ecological networks and discuss some possible solutions. Machine learning and better data sharing between ecologists represent very important areas for advances in NGS-based networks. The future of network ecology is very exciting as all the tools necessary to build highly resolved multilayer networks are now within ecologists reach.

      PubDate: 2018-02-05T12:18:03Z
      DOI: 10.1016/bs.aecr.2017.12.001
       
  • Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures
           and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From
           the DNAqua-Net COST Action
    • Authors: Florian Leese; Agnès Bouchez; Kessy Abarenkov; Florian Altermatt; Ángel Borja; Kat Bruce; Torbjørn Ekrem; Fedor Čiampor; Zuzana Čiamporová-Zaťovičová; Filipe O. Costa; Sofia Duarte; Vasco Elbrecht; Diego Fontaneto; Alain Franc; Matthias F. Geiger; Daniel Hering; Maria Kahlert; Belma Kalamujić Stroil; Martyn Kelly; Emre Keskin; Igor Liska; Patricia Mergen; Kristian Meissner; Jan Pawlowski; Lyubomir Penev; Yorick Reyjol; Ana Rotter; Dirk Steinke; Bas van der Wal; Simon Vitecek; Jonas Zimmermann; Alexander M. Weigand
      Pages: 63 - 99
      Abstract: Publication date: Available online 7 February 2018
      Source:Advances in Ecological Research
      Author(s): Florian Leese, Agnès Bouchez, Kessy Abarenkov, Florian Altermatt, Ángel Borja, Kat Bruce, Torbjørn Ekrem, Fedor Čiampor, Zuzana Čiamporová-Zaťovičová, Filipe O. Costa, Sofia Duarte, Vasco Elbrecht, Diego Fontaneto, Alain Franc, Matthias F. Geiger, Daniel Hering, Maria Kahlert, Belma Kalamujić Stroil, Martyn Kelly, Emre Keskin, Igor Liska, Patricia Mergen, Kristian Meissner, Jan Pawlowski, Lyubomir Penev, Yorick Reyjol, Ana Rotter, Dirk Steinke, Bas van der Wal, Simon Vitecek, Jonas Zimmermann, Alexander M. Weigand
      Aquatic biomonitoring has become an essential task in Europe and many other regions as a consequence of strong anthropogenic pressures affecting the health of lakes, rivers, oceans and groundwater. A typical assessment of the environmental quality status, such as it is required by European but also North American and other legislation, relies on matching the composition of assemblages of organisms identified using morphological criteria present in aquatic ecosystems to those expected in the absence of anthropogenic pressures. Through decade-long and difficult intercalibration exercises among networks of regulators and scientists in European countries, a pragmatic biomonitoring approach was developed and adopted, which now produces invaluable information. Nonetheless, this approach is based on several hundred different protocols, making it susceptible to issues with comparability, scale and resolution. Furthermore, data acquisition is often slow due to a lack of taxonomic experts for many taxa and regions and time-consuming morphological identification of organisms. High-throughput genetic screening methods such as (e)DNA metabarcoding have been proposed as a possible solution to these shortcomings. Such “next-generation biomonitoring”, also termed “biomonitoring 2.0”, has many advantages over the traditional approach in terms of speed, comparability and costs. It also creates the potential to include new bioindicators and thereby further improves the assessment of aquatic ecosystem health. However, several major conceptual and technological challenges still hinder its implementation into legal and regulatory frameworks. Academic scientists sometimes tend to overlook legal or socioeconomic constraints, which regulators have to consider on a regular basis. Moreover, quantification of species abundance or biomass remains a significant bottleneck to releasing the full potential of these approaches. Here, we highlight the main challenges for next-generation aquatic biomonitoring and outline principles and good practices to address these with an emphasis on bridging traditional disciplinary boundaries between academics, regulators, stakeholders and industry.

      PubDate: 2018-02-16T08:02:18Z
      DOI: 10.1016/bs.aecr.2018.01.001
       
  • Advances in Monitoring and Modelling Climate at Ecologically Relevant
           Scales
    • Authors: Isobel Bramer; Barbara J. Anderson; Jonathan Bennie; Andrew J. Bladon; Pieter De Frenne; Deborah Hemming; Ross A. Hill; Michael R. Kearney; Christian Körner; Amanda H. Korstjens; Jonathan Lenoir; Ilya M.D. Maclean; Christopher D. Marsh; Michael D. Morecroft; Ralf Ohlemüller; Helen D. Slater; Andrew J. Suggitt; Florian Zellweger; Phillipa K. Gillingham
      Pages: 101 - 161
      Abstract: Publication date: Available online 14 February 2018
      Source:Advances in Ecological Research
      Author(s): Isobel Bramer, Barbara J. Anderson, Jonathan Bennie, Andrew J. Bladon, Pieter De Frenne, Deborah Hemming, Ross A. Hill, Michael R. Kearney, Christian Körner, Amanda H. Korstjens, Jonathan Lenoir, Ilya M.D. Maclean, Christopher D. Marsh, Michael D. Morecroft, Ralf Ohlemüller, Helen D. Slater, Andrew J. Suggitt, Florian Zellweger, Phillipa K. Gillingham
      Most ecological studies of the effects of climate on species are based on average conditions above ground level (measured by meteorological stations) averaged across 100km2 or larger areas. However, most terrestrial organisms experience conditions in a much smaller area at the ground surface or within vegetation canopies, the climate of which can be very different to large-scale averages. Therefore, to accurately characterise the climatic conditions suitable for species, it is essential to include microclimate information. Microclimates are affected by the shape of the landscape, including the steepness and aspect of slopes, height above sea level, proximity to the sea or inland water, and whether a site is in a valley or at the top of a hill. Plants also modify the conditions found within or below their canopies, with the structure of vegetation playing an important role. The recent increase in the availability of microsensors and remotely sensed data at appropriate resolutions has led some ecologists to begin to include microclimate information within a variety of contexts; however the field can be confusing and intimidating and mistakes are often made along the way. In this chapter, we provide an overview of microclimatic processes and summarise the available methods of measuring and modelling microclimate data for incorporation in ecological research. We highlight pitfalls to avoid emerging novel methods and the limitations of some techniques. We also consider future research directions and opportunities within this emerging field.

      PubDate: 2018-02-16T08:02:18Z
      DOI: 10.1016/bs.aecr.2017.12.005
       
  • Mapping Mediterranean Wetlands With Remote Sensing: A Good-Looking Map Is
           Not Always a Good Map
    • Authors: Christian Perennou; Anis Guelmami; Marc Paganini; Petra Philipson; Brigitte Poulin; Adrian Strauch; Christian Tottrup; John Truckenbrodt; Ilse R. Geijzendorffer
      Pages: 243 - 277
      Abstract: Publication date: Available online 14 February 2018
      Source:Advances in Ecological Research
      Author(s): Christian Perennou, Anis Guelmami, Marc Paganini, Petra Philipson, Brigitte Poulin, Adrian Strauch, Christian Tottrup, John Truckenbrodt, Ilse R. Geijzendorffer
      Wetlands are a key habitat within the Mediterranean biodiversity hotspot and provide important ecosystem services for human well-being. Remote sensing (RS) has significantly boosted our ability to monitor changes in Mediterranean wetlands, especially in areas where little information is being collected. However, its application to wetlands has sometimes been flawed with uncertainties and unrecognized errors, to a large extent due to the inherent and specific ecological characteristics of Mediterranean wetlands. We present here an overview of the state of the art on RS techniques for mapping and monitoring Mediterranean wetlands, and the remaining challenges: delineating and separating wetland habitat types; mapping water dynamics inside wetlands; and detecting actual wetland trends over time in a context of high, natural variability. The most important lessons learned are that ecologists’ knowledge need to be integrated with RS expertise to achieve a valuable monitoring approach of these ecosystems.

      PubDate: 2018-02-16T08:02:18Z
      DOI: 10.1016/bs.aecr.2017.12.002
       
 
 
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