Subjects -> AGRICULTURE (Total: 963 journals)
    - AGRICULTURAL ECONOMICS (93 journals)
    - AGRICULTURE (662 journals)
    - CROP PRODUCTION AND SOIL (120 journals)
    - DAIRYING AND DAIRY PRODUCTS (30 journals)
    - POULTRY AND LIVESTOCK (58 journals)

AGRICULTURE (662 journals)            First | 1 2 3 4     

Showing 201 - 263 of 263 Journals sorted by number of followers
Biodiversity     Hybrid Journal   (Followers: 28)
Agriculture & Food Security     Open Access   (Followers: 22)
Future of Food : Journal on Food, Agriculture and Society     Open Access   (Followers: 21)
Nature Plants     Full-text available via subscription   (Followers: 17)
African Journal of Food, Agriculture, Nutrition and Development     Open Access   (Followers: 17)
Advances in Agriculture     Open Access   (Followers: 16)
Agricultural History Review     Full-text available via subscription   (Followers: 15)
Indian Journal of Agricultural Sciences     Open Access   (Followers: 12)
Advances in Life Science and Technology     Open Access   (Followers: 11)
Biological Agriculture & Horticulture : An International Journal for Sustainable Production Systems     Partially Free   (Followers: 11)
Journal of Land and Rural Studies     Hybrid Journal   (Followers: 11)
Agriculture and Food Sciences Research     Open Access   (Followers: 10)
Agricultural Research     Hybrid Journal   (Followers: 10)
Indian Horticulture     Full-text available via subscription   (Followers: 9)
Culture, Agriculture, Food and Environment     Hybrid Journal   (Followers: 8)
Arboricultural Journal : The International Journal of Urban Forestry     Hybrid Journal   (Followers: 7)
Aceh International Journal of Science and Technology     Open Access   (Followers: 7)
International Journal of Agriculture and Forestry     Open Access   (Followers: 7)
New Journal of Botany     Hybrid Journal   (Followers: 6)
Invertebrate Reproduction & Development     Hybrid Journal   (Followers: 6)
Journal of Agriculture and Sustainability     Open Access   (Followers: 6)
Journal of Agriculture and Social Research (JASR)     Open Access   (Followers: 6)
American Journal of Rural Development     Open Access   (Followers: 6)
Journal of Agriculture, Forestry and the Social Sciences     Full-text available via subscription   (Followers: 6)
Journal of Advances in Agriculture     Open Access   (Followers: 5)
Acta Scientiarum. Animal Sciences     Open Access   (Followers: 5)
EvoDevo     Open Access   (Followers: 5)
Italian Journal of Agronomy     Open Access   (Followers: 4)
Cereal Chemistry     Full-text available via subscription   (Followers: 4)
Studies in Australian Garden History     Full-text available via subscription   (Followers: 4)
Journal of Agricultural Science     Open Access   (Followers: 4)
Journal of Agriculture and Rural Development in the Tropics and Subtropics     Open Access   (Followers: 4)
Tanzania Journal of Agricultural Sciences     Open Access   (Followers: 4)
Journal of Modern Agriculture     Open Access   (Followers: 4)
EU Agrarian Law     Open Access   (Followers: 4)
Journal of Agricultural Extension and Rural Development     Open Access   (Followers: 4)
Acta Agrobotanica     Open Access   (Followers: 4)
Food and Energy Security     Open Access   (Followers: 4)
Journal of the Ghana Science Association     Full-text available via subscription   (Followers: 3)
Journal of Agriculture and Natural Resources Sciences     Open Access   (Followers: 3)
Journal of Science and Technology (Ghana)     Open Access   (Followers: 3)
Biocatalysis and Agricultural Biotechnology     Hybrid Journal   (Followers: 3)
Revista Verde de Agroecologia e Desenvolvimento Sustentável     Open Access   (Followers: 3)
Sustainable Agriculture Research     Open Access   (Followers: 3)
International Journal of Agricultural Research, Innovation and Technology     Open Access   (Followers: 3)
International Journal of Applied Agriculture and Apiculture Research     Open Access   (Followers: 3)
Agra Europe     Full-text available via subscription   (Followers: 3)
Journal of Essential Oil Research     Hybrid Journal   (Followers: 3)
Diatom Research     Hybrid Journal   (Followers: 3)
Acta Universitatis Sapientiae, Alimentaria     Open Access   (Followers: 3)
Journal of Food Security     Open Access   (Followers: 3)
Journal of Agricultural Chemistry and Environment     Open Access   (Followers: 3)
Asian Journal of Medical and Biological Research     Open Access   (Followers: 3)
Rural China     Hybrid Journal   (Followers: 2)
Revista Cubana de Ciencia Agrícola     Open Access   (Followers: 2)
Rivista di Studi sulla Sostenibilità     Full-text available via subscription   (Followers: 2)
Nigerian Food Journal     Full-text available via subscription   (Followers: 2)
Tropical Agricultural Research     Open Access   (Followers: 2)
International Journal of Agricultural Management and Development     Open Access   (Followers: 2)
Tropical Agricultural Research and Extension     Open Access   (Followers: 2)
New Zealand Journal of Agricultural Research     Hybrid Journal   (Followers: 2)
International Journal for Parasitology : Parasites and Wildlife     Open Access   (Followers: 2)
Journal of Apicultural Science     Open Access   (Followers: 2)
Ciencia forestal en México     Open Access   (Followers: 2)
Agricultura Tropica et Subtropica     Open Access   (Followers: 2)
Journal of Biology, Agriculture and Healthcare     Open Access   (Followers: 2)
Journal of Sustainable Society     Open Access   (Followers: 2)
Journal of Agricultural Extension     Open Access   (Followers: 2)
Journal of Agriculture and Food Sciences     Full-text available via subscription   (Followers: 2)
Journal of Agricultural Engineering     Open Access   (Followers: 2)
Huria : Journal of the Open University of Tanzania     Full-text available via subscription   (Followers: 2)
Agro-Science     Full-text available via subscription   (Followers: 2)
Rural Sustainability Research     Open Access   (Followers: 2)
Ghana Journal of Agricultural Science     Full-text available via subscription   (Followers: 2)
Journal of Agricultural Studies     Open Access   (Followers: 1)
Berkala Ilmiah Pertanian     Open Access   (Followers: 1)
Journal of Natural Sciences Research     Open Access   (Followers: 1)
Agricultural Commodities     Full-text available via subscription   (Followers: 1)
Progressive Agriculture     Open Access   (Followers: 1)
COCOS : The Journal of the Coconut Research Institute of Sri Lanka     Open Access   (Followers: 1)
Jurnal Veteriner     Open Access   (Followers: 1)
Nigerian Journal of Technological Research     Full-text available via subscription   (Followers: 1)
Science, Technology and Arts Research Journal     Open Access   (Followers: 1)
Revista Brasileira de Higiene e Sanidade Animal     Open Access   (Followers: 1)
Wartazoa. Indonesian Bulletin of Animal and Veterinary Sciences     Open Access   (Followers: 1)
Archivos de Zootecnia     Open Access   (Followers: 1)
Folia Horticulturae     Open Access   (Followers: 1)
Acta Technologica Agriculturae     Open Access   (Followers: 1)
International Journal of Agricultural Extension     Open Access   (Followers: 1)
Frontiers in Science     Open Access   (Followers: 1)
Emirates Journal of Food and Agriculture     Open Access   (Followers: 1)
Research in Agriculture, Livestock and Fisheries     Open Access   (Followers: 1)
Journal of Agricultural Engineering     Full-text available via subscription   (Followers: 1)
Buletin Peternakan : Bulletin of Animal Science     Open Access   (Followers: 1)
RIA. Revista de Investigaciones Agropecuarias     Open Access   (Followers: 1)
Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca : Food Science and Technology     Open Access   (Followers: 1)
Journal of Degraded and Mining Lands Management     Open Access   (Followers: 1)
Global Approaches to Extension Practice : A Journal of Agricultural Extension     Full-text available via subscription   (Followers: 1)
Plant Knowledge Journal     Open Access   (Followers: 1)
Iranian Journal of Applied Animal Science     Open Access   (Followers: 1)
Agrociencia Uruguay     Open Access   (Followers: 1)
Chemical and Biological Technologies for Agriculture     Open Access   (Followers: 1)
International Journal of Recycling of Organic Waste in Agriculture     Open Access   (Followers: 1)
Journal of Science Foundation     Open Access   (Followers: 1)
Annals of Agricultural Sciences     Open Access   (Followers: 1)
Avances en Investigacion Agropecuaria     Open Access   (Followers: 1)
International Journal of Sustainable Agricultural Management and Informatics     Hybrid Journal   (Followers: 1)
Bangladesh Journal of Agricultural Research     Open Access   (Followers: 1)
Journal of Agricultural Sciences     Open Access   (Followers: 1)
Jurnal Ilmu dan Kesehatan Hewan (Veterinary Science and Medicine Journal)     Open Access   (Followers: 1)
Innovare Journal of Agricultural Science     Open Access   (Followers: 1)
Arquivos do Instituto Biológico     Open Access   (Followers: 1)
Social and Natural Sciences Journal     Open Access  
Jurnal Agroteknologi     Open Access  
Perspectivas Rurales Nueva Época     Open Access  
Organic Farming     Open Access  
Research Ideas and Outcomes     Open Access  
Jurnal Udayana Mengabdi     Open Access  
Landtechnik : Agricultural Engineering     Open Access  
International Letters of Natural Sciences     Open Access  
International Journal of Agriculture System     Open Access  
Heliyon     Open Access  
Ciência e Técnica Vitivinícola     Open Access  
Oilseeds and fats, Crops and Lipids     Open Access  
Annals of Silvicultural Research     Open Access  
Pastura : Journal Of Tropical Forage Science     Open Access  
Journal of Citrus Pathology     Open Access  
Revista Iberoamericana de las Ciencias Biológicas y Agropecuarias     Open Access  
Kansas Agricultural Experiment Station Research Reports     Open Access  
International Journal of Secondary Metabolite     Open Access  
Scientia Agropecuaria     Open Access  
Pelita Perkebunan (Coffee and Cocoa Research Journal)     Open Access  
Revista de Agricultura Neotropical     Open Access  
Cogent Food & Agriculture     Open Access  
Fave : Sección ciencias agrarias     Open Access  
Revista de Ciências Agrárias     Open Access  
Review of Agrarian Studies     Open Access  
Nigerian Journal of Biotechnology     Open Access  
Nigeria Agricultural Journal     Full-text available via subscription  
Annales des Sciences Agronomiques     Full-text available via subscription  
Journal of the Bangladesh Agricultural University     Open Access  
Journal of Buffalo Science     Hybrid Journal  
Revista de Ciências Agroveterinárias     Open Access  
Tropical Grasslands - Forrajes Tropicales     Open Access  
Research in Plant Sciences     Open Access  
World Journal of Agricultural Research     Open Access  
Universal Journal of Agricultural Research     Open Access  
Research & Reviews : Journal of Agriculture Science and Technology     Full-text available via subscription  
Revue Marocaine des Sciences Agronomiques et Vétérinaires     Open Access  
Nativa     Open Access  
SAARC Journal of Agriculture     Open Access  
West African Journal of Applied Ecology     Open Access  
Journal of Agricultural Research and Development     Full-text available via subscription  
Journal de la Recherche Scientifique de l'Universite de Lome     Full-text available via subscription  
Global Journal of Agricultural Sciences     Full-text available via subscription  
Agrosearch     Open Access  
Agronomie Africaine     Full-text available via subscription  
Professional Agricultural Workers Journal     Open Access  
Interciencia     Open Access  
Nepal Journal of Science and Technology     Open Access  
Journal of the Saudi Society of Agricultural Sciences     Open Access  
Information Processing in Agriculture     Open Access  
Sabaragamuwa University Journal     Open Access  
Ceiba     Open Access  
Research in Sierra Leone Studies : Weave     Open Access  
The Agriculturists     Open Access  
La Calera     Open Access  
Selçuk Tarım ve Gıda Bilimleri Dergisi     Open Access  
Revista de la Universidad del Zulia     Open Access  
Journal of Arid Land     Hybrid Journal  
Rangifer     Open Access  
Encuentro     Open Access  
Journal Of Agrobiotechnology     Open Access  
Coffee Science     Open Access  
Bangladesh Journal of Scientific Research     Open Access  
Landbohistorisk Tidsskrift     Open Access  
Biotecnología en el Sector Agropecuario y Agroindustrial     Open Access  
Walailak Journal of Science and Technology     Open Access  
Universidad y Ciencia     Open Access  
Tropical and Subtropical Agroecosystems     Open Access  
Terra Latinoamericana     Open Access  
Revista Iberoamericana de Tecnologia Postcosecha     Open Access  
Revista Brasileira de Ciências Agrárias     Open Access  
Multiciencias     Open Access  
Ensaios e Ciência : Ciências Biológicas, Agrárias e da Saúde     Open Access  
Bioagro     Open Access  
Agroalimentaria     Open Access  
Revista Mexicana de Ciencias Agrícolas     Open Access  
Revista U.D.C.A Actualidad & Divulgación Científica     Open Access  
Revista Ciencias Técnicas Agropecuarias     Open Access  
Revista Chapingo. Serie horticultura     Open Access  
Pastos y Forrajes     Open Access  
Fitosanidad     Open Access  
Cultivos Tropicales     Open Access  
Cuadernos de Desarrollo Rural     Open Access  
Ciencia e Investigación Agraria     Open Access  
Agronomía Mesoamericana     Open Access  
Agronomía Costarricense     Open Access  
Agrociencia     Open Access  
Agrivita : Journal of Agricultural Science     Open Access  

  First | 1 2 3 4     

Similar Journals
Journal Cover
Journal of Arid Land
Journal Prestige (SJR): 0.652
Citation Impact (citeScore): 2
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1674-6767 - ISSN (Online) 2194-7783
Published by Springer-Verlag Homepage  [2467 journals]
  • Spatiotemporal variations in the growth status of declining wild apple
           trees in a narrow valley in the western Tianshan Mountains, China

    • Free pre-print version: Loading...

      Abstract: Abstract Malus sieversii (wild apple tree), only distributed in the Tianshan Mountains in Central Asia, is a tertiary relic species and an ancestral species of cultivated apples. However, existing natural populations of wild apple trees have been declining. To date, spatiotemporal variations in the growth status of declining wild apple trees and influencing factors in the narrow valley areas in the Tianshan Mountains remain unclear. In this study, field investigation and sampling were carried out in three years (2016–2018) at four elevations (1300, 1400, 1500, and 1600 m) in the Qiaolakesai Valley (a typical longitudinal narrow valley in the Yili River Valley) of the western Tianshan Mountains in Xinyuan County, Xinjiang Uygur Autonomous Region, China. Projective coverage, dead branch percentage, and 18 twig traits (these 20 parameters were collectively referred to as plant traits) were determined to comprehensively reflect the growth status of declining wild apple trees. The values of dead branch percentage ranged from 36% to 59%, with a mean of 40%. Year generally showed higher impact on plant traits than elevation. In 2017 and 2018, projective coverage, leaf size, leaf nitrogen concentration, and nitrogen to phosphorous ratio were markedly higher than those in 2016. However, dead branch percentage and leaf and stem phosphorous concentrations showed the opposite trend. Most of the topological parameters of plant trait networks differed in the three years, but the strength of trait—trait association increased year by year. The mean difference between day and night temperatures (MDT), annual accumulative precipitation, soil electrical conductivity, and soil pH had the greatest impact on the plant trait matrix. The growth status of declining wild apple trees was directly and positively affected by MDT and leaf size. In conclusion, the growth of declining wild apple trees distributed in the narrow valley areas was more sensitive to interannual environmental changes than elevation changes. The results are of great significance for further revealing the decline mechanism of wild apple trees in the Tianshan Mountains.
      PubDate: 2022-11-23
       
  • Image recognition and empirical application of desert plant species based
           on convolutional neural network

    • Free pre-print version: Loading...

      Abstract: Abstract In recent years, deep convolution neural network has exhibited excellent performance in computer vision and has a far-reaching impact. Traditional plant taxonomic identification requires high expertise, which is time-consuming. Most nature reserves have problems such as incomplete species surveys, inaccurate taxonomic identification, and untimely updating of status data. Simple and accurate recognition of plant images can be achieved by applying convolutional neural network technology to explore the best network model. Taking 24 typical desert plant species that are widely distributed in the nature reserves in Xinjiang Uygur Autonomous Region of China as the research objects, this study established an image database and select the optimal network model for the image recognition of desert plant species to provide decision support for fine management in the nature reserves in Xinjiang, such as species investigation and monitoring, by using deep learning. Since desert plant species were not included in the public dataset, the images used in this study were mainly obtained through field shooting and downloaded from the Plant Photo Bank of China (PPBC). After the sorting process and statistical analysis, a total of 2331 plant images were finally collected (2071 images from field collection and 260 images from the PPBC), including 24 plant species belonging to 14 families and 22 genera. A large number of numerical experiments were also carried out to compare a series of 37 convolutional neural network models with good performance, from different perspectives, to find the optimal network model that is most suitable for the image recognition of desert plant species in Xinjiang. The results revealed 24 models with a recognition Accuracy, of greater than 70.000%. Among which, Residual Network X_8GF (RegNetX_8GF) performs the best, with Accuracy, Precision, Recall, and F1 (which refers to the harmonic mean of the Precision and Recall values) values of 78.33%, 77.65%, 69.55%, and 71.26%, respectively. Considering the demand factors of hardware equipment and inference time, Mobile NetworkV2 achieves the best balance among the Accuracy, the number of parameters and the number of floating-point operations. The number of parameters for Mobile Network V2 (MobileNetV2) is 1/16 of RegNetX_8GF, and the number of floating-point operations is 1/24. Our findings can facilitate efficient decision-making for the management of species survey, cataloging, inspection, and monitoring in the nature reserves in Xinjiang, providing a scientific basis for the protection and utilization of natural plant resources.
      PubDate: 2022-11-17
       
  • Integrated water risk early warning framework of the semi-arid
           transitional zone based on the water environmental carrying capacity
           (WECC)

    • Free pre-print version: Loading...

      Abstract: Abstract Water risk early warning systems based on the water environmental carrying capacity (WECC) are powerful and effective tools to guarantee the sustainability of rivers. Existing work on the early warning of WECC has mainly concerned the comprehensive evaluation of the status quo and lacked a quantitative prejudgement and warning of future overload. In addition, existing quantitative methods for short-term early warning have rarely focused on the integrated change trends of the early warning indicators. Given the periodicity of the socioeconomic system, however, the water environmental system also follows a trend of cyclical fluctuations. Thus, it is meaningful to monitor and use this periodicity for the early warning of the WECC. In this study, we first adopted and improved the prosperity index method to develop an integrated water risk early warning framework. We also constructed a forecast model to qualitatively and quantitatively prejudge and warn about the development trends of the water environmental system. We selected the North Canal Basin (an essential connection among the Beijing-Tianjin-Hebei region) in China as a case study and predicted the WECC in 25 water environmental management units of the basin in 2018–2023. We found that the analysis of the prosperity index was helpful in predicting the WECC, to some extent. The result demonstrated that the early warning system provided reliable prediction (root mean square error of 0.0651 and mean absolute error of 0.1418), and the calculation results of the comprehensive early warning index (CEWI) conformed to the actual situation and related research in the river basin. From 2008 to 2023, the WECC of most water environmental management units in the basin had improved but with some spatial differences: the CEWI was generally poor in areas with many human disturbances, while it was relatively good in the upstream regions with higher forest and grass covers as well as in the downstream areas with larger water volume. Finally, through a sensitivity analysis of the indicators, we proposed specific management measures for the sustainability of the water environmental system in the North Canal Basin. Overall, the integrated water risk early warning framework could provide an appropriate method for the water environmental administration department to predict the WECC of the basin in the future. This framework could also assist in implementing corresponding management measures in advance, especially for the performance evaluation and the arrangement of key short-term tasks in the River Chief System in China.
      PubDate: 2022-11-03
       
  • Spatiotemporal variation in vegetation net primary productivity and its
           relationship with meteorological factors in the Tarim River Basin of China
           from 2001 to 2020 based on the Google Earth Engine

    • Free pre-print version: Loading...

      Abstract: Abstract Vegetation growth status is an important indicator of ecological security. The Tarim River Basin is located in the inland arid region of Northwest China and has a highly fragile ecological environment. Assessing the vegetation net primary productivity (NPP) of the Tarim River Basin can provide insights into the vegetation growth variations in the region. Therefore, based on the Google Earth Engine (GEE) cloud platform, we studied the spatiotemporal variation of vegetation NPP in the Tarim River Basin (except for the eastern Gobi and Kumutag deserts) from 2001 to 2020 and analyzed the correlations between vegetation NPP and meteorological factors (air temperature and precipitation) using the Sen slope estimation method, coefficient of variation, and rescaled range analysis method. In terms of temporal characteristics, vegetation NPP in the Tarim River Basin showed an overall fluctuating upward trend from 2001 to 2020, with the smallest value of 118.99 g C/(m2·a) in 2001 and the largest value of 155.07 g C/(m2·a) in 2017. Regarding the spatial characteristics, vegetation NPP in the Tarim River Basin showed a downward trend from northwest to southeast along the outer edge of the study area. The annual average value of vegetation NPP was 133.35 g C/(m2·a), and the area with annual average vegetation NPP values greater than 100.00 g C/(m2·a) was 82,638.75 km2, accounting for 57.76% of the basin. The future trend of vegetation NPP was dominated by anti-continuity characteristic; the percentage of the area with anti-continuity characteristic was 63.57%. The area with a significant positive correlation between vegetation NPP and air temperature accounted for 53.74% of the regions that passed the significance test, while the area with a significant positive correlation between vegetation NPP and precipitation occupied 98.68% of the regions that passed the significance test. Hence, the effect of precipitation on vegetation NPP was greater than that of air temperature. The results of this study improve the understanding on the spatiotemporal variation of vegetation NPP in the Tarim River Basin and the impact of meteorological factors on vegetation NPP.
      PubDate: 2022-11-02
       
  • Assessment of ecological quality in Northwest China (2000–2020) using
           the Google Earth Engine platform: Climate factors and land use/land cover
           contribute to ecological quality

    • Free pre-print version: Loading...

      Abstract: Abstract The ecological quality of inland areas is an important aspect of the United Nations Sustainable Development Goals (UN SDGs). The ecological environment of Northwest China is vulnerable to changes in climate and land use/land cover, and the changes in ecological quality in this arid region over the last two decades are not well understood. This makes it more difficult to advance the UN SDGs and develop appropriate measures at the regional level. In this study, we used the Moderate Resolution Imaging Spectroradiometer (MODIS) products to generate remote sensing ecological index (RSEI) on the Google Earth Engine (GEE) platform to examine the relationship between ecological quality and environment in Xinjiang during the last two decades (from 2000 to 2020). We analyzed a 21-year time series of the trends and spatial characteristics of ecological quality. We further assessed the importance of different environmental factors affecting ecological quality through the random forest algorithm using data from statistical yearbooks and land use products. Our results show that the RSEI constructed using the GEE platform can accurately reflect the ecological quality information in Xinjiang because the contribution of the first principal component was higher than 90.00%. The ecological quality in Xinjiang has increased significantly over the last two decades, with the northern part of this region having a better ecological quality than the southern part. The areas with slightly improved ecological quality accounted for 31.26% of the total land area of Xinjiang, whereas only 3.55% of the land area was classified as having a slightly worsen (3.16%) or worsen (0.39%) ecological quality. The vast majority of the deterioration in ecological quality mainly occurred in the barren areas Temperature, precipitation, closed shrublands, grasslands and savannas were the top five environmental factors affecting the changes in RSEI. Environmental factors were allocated different weights for different RSEI categories. In general, the recovery of ecological quality in Xinjiang has been controlled by climate and land use/land cover during the last two decades and policy-driven ecological restoration is therefore crucial. Rapid monitoring of inland ecological quality using the GEE platform is projected to aid in the advancement of the comprehensive assessment of the UN SDGs.
      PubDate: 2022-11-02
       
  • Spatiotemporal characteristics and influencing factors of ecosystem
           services in Central Asia

    • Free pre-print version: Loading...

      Abstract: Abstract Land use/land cover (LULC) change and climate change are two major factors affecting the provision of ecosystem services which are closely related to human well-being. However, a clear understanding of the relationships between these two factors and ecosystem services in Central Asia is still lacking. This study aimed to comprehensively assess ecosystem services in Central Asia and analyze how they are impacted by changes in LULC and climate. The spatiotemporal patterns of three ecosystem services during the period of 2000–2015, namely the net primary productivity (NPP), water yield, and soil retention, were quantified and mapped by the Carnegie-Ames-Stanford Approach (CASA) model, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and Revised Universal Soil Loss Equation (RUSLE). Scenarios were used to determine the relative importance and combined effect of LULC change and climate change on ecosystem services. Then, the relationships between climate factors (precipitation and temperature) and ecosystem services, as well as between LULC change and ecosystem services, were further discussed. The results showed that the high values of ecosystem services appeared in the southeast of Central Asia. Among the six biomes (alpine forest region (AFR), alpine meadow region (AMR), typical steppe region (TSR), desert steppe region (DSR), desert region (DR), and lake region (LR)), the values of ecosystem services followed the order of AFR>AMR>TSR>DSR>DR>LR. In addition, the values of ecosystem services fluctuated during the period of 2000–2015, with the most significant decreases observed in the southeast mountainous area and northwest of Central Asia. LULC change had a greater impact on the NPP, while climate change had a stronger influence on the water yield and soil retention. The combined LULC change and climate change exhibited a significant synergistic effect on ecosystem services in most of Central Asia. Moreover, ecosystem services were more strongly and positively correlated with precipitation than with temperature. The greening of desert areas and forest land expansion could improve ecosystem services, but unreasonable development of cropland and urbanization have had an adverse impact on ecosystem services. According to the results, ecological stability in Central Asia can be achieved through the natural vegetation protection, reasonable urbanization, and ecological agriculture development.
      PubDate: 2022-11-02
       
  • Soil evolution along an alluvial-loess transect in the Herat Plain,
           western Afghanistan

    • Free pre-print version: Loading...

      Abstract: Abstract Afghanistan is located in the Eurasian loess belt, however, there is little information on the soils in the area. Loess has covered the Herat Plain in western Herat City, Afghanistan. Despite the diversity of landform and parent material, there is no information on the soil and landform evolution in this area. The objectives of this study were to identify the soils along a transect of different landforms in the Herat Plain and determine the role of geomorphic processes on the soil and landform evolution. Five pedons from an alluvial fan, the depression between alluvial fan and piedmont plain, saline and non-saline piedmont plains, and the flood plain of the Hariroud River, were sampled. Then, the physical-chemical properties, mineralogy, and micromorphology of the samples were determined. Results showed that the soil parent material in the piedmont plain is loess, whereas, in the flood plain it is a combination of loess and river alluvial sediments. Calcification, lessivage, salinization, and gleization are the most important pedogenic processes. The calcification and lessivage appear to be the result of a wetter climate during the late Quaternary, whereas the present topography causes the gleization and salinization. Clay coatings on carbonate nodules and iron nodules are abundant pedofeatures in the Btk (argillic-calcic) horizon. Iron oxides nodules are common in the soils of the flood plain. The formation of palygorskite in both alluvial-and loess-derived soils implies the onset of aridity and the trend of increase in environmental aridity in the region. It seems that after the formation of a well developed paleosol on the alluvial fan in a more humid climate in the past, the piedmont plain has been covered by loess deposits, and the calcification, gleization, and salinization cause the formation of weakly developed surficial soils. This study highlights the role of the late Quaternary climatic changes on the evolution of landforms and soils in western Afghanistan.
      PubDate: 2022-11-01
       
  • Interactive effects of deficit irrigation and vermicompost on yield,
           quality, and irrigation water use efficiency of greenhouse cucumber

    • Free pre-print version: Loading...

      Abstract: Abstract Water scarcity is the most significant barrier to agricultural development in arid and semi-arid regions. Deficit irrigation is an effective solution for managing agricultural water in these regions. The use of additives such as vermicompost (VC) to improve soil characteristics and increase yield is a popular practice. Despite this, there is still a lack of understanding of the interaction between irrigation water and VC on various crops. This study aimed to investigate the interaction effect of irrigation water and VC on greenhouse cucumber yield, yield components, quality, and irrigation water use efficiency (IWUE). The trials were done in a split-plot design in three replicates in a semi-arid region of southeastern Iran in 2018 and 2019. Three levels of VC in the experiments, i.e., 10 (V1), 15 (V2), and 20 t/hm2 (V3), and three levels of irrigation water, i.e., 50% 75% (I2), and 100% (I3) of crop water requirement were used. The results showed that the amount of irrigation water, VC, and their interaction significantly affected cucumber yield, yield components, quality, and IWUE in both years. Reducing the amount of irrigation water and VC application rates reduced the weight, diameter, length, and cucumber yield. The maximum yield (175 t/hm2) was recorded in full irrigation using 20 t/hm2 of VC, while the minimum yield (98 t/hm2) was found in I1V1 treatment. The maximum and minimum values of IWUE were recorded for I1V3 and I3V1 treatments as 36.07 and 19.93 kg/(m3·hm2), respectively. Moreover, reducing irrigation amount decreased chlorophyll a and b, but increased vitamin C. However, the maximum carbohydrate and protein contents were obtained in mild water-stressed conditions (I2). Although adding VC positively influenced the value of quality traits, no significant difference was observed between V2 and V3 treatments. Based on the results, adding VC under full irrigation conditions leads to enhanced yield and IWUE. However, in the case of applying deficit irrigation, adding VC up to a certain level (15 t/hm2) increases yield and IWUE, after which the yield begins to decline. Because of the salinity of VC, using a suitable amount of it is a key point to maximize IWUE and yield when applying a deficit irrigation regime.
      PubDate: 2022-11-01
       
  • Meteorological drought in semi-arid regions: A case study of Iran

    • Free pre-print version: Loading...

      Abstract: Abstract Drought occurs in almost all climate zones and is characterized by prolonged water deficiency due to unbalanced demand and supply of water, persistent insufficient precipitation, lack of moisture, and high evapotranspiration. Drought caused by insufficient precipitation is a temporary and recurring meteorological event. Precipitation in semi-arid regions is different from that in other regions, ranging from 50 to 750 mm. In general, the semi-arid regions in the west and north of Iran received more precipitation than those in the east and south. The Terrestrial Climate (TerraClimate) data, including monthly precipitation, minimum temperature, maximum temperature, potential evapotranspiration, and the Palmer Drought Severity Index (PDSI) developed by the University of Idaho, were used in this study. The PDSI data was directly obtained from the Google Earth Engine platform. The Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) on two different scales were calculated in time series and also both SPI and SPEI were shown in spatial distribution maps. The result showed that normal conditions were a common occurrence in the semi-arid regions of Iran over the majority of years from 2000 to 2020, according to a spatiotemporal study of the SPI at 3-month and 12-month time scales as well as the SPEI at 3-month and 12-month time scales. Moreover, the PDSI detected extreme dry years during 2000–2003 and in 2007, 2014, and 2018. In many semi-arid regions of Iran, the SPI at 3-month time scale is higher than the SPEI at 3-month time scale in 2000, 2008, 2014, 2015, and 2018. In general, this study concluded that the semi-arid regions underwent normal weather conditions from 2000 to 2020. In a way, moderate, severe, and extreme dry occurred with a lesser percentage, gradually decreasing. According to the PDSI, during 2000–2003 and 2007–2014, extreme dry struck practically all hot semi-arid regions of Iran. Several parts of the cold semi-arid regions, on the other hand, only experienced moderate to severe dry from 2000 to 2003, except for the eastern areas and wetter regions. The significance of this study is the determination of the spatiotemporal distribution of meteorological drought in semi-arid regions of Iran using strongly validated data from TerraClimate.
      PubDate: 2022-11-01
       
  • Non-negligible factors in low-pressure sprinkler irrigation: droplet
           impact angle and shear stress

    • Free pre-print version: Loading...

      Abstract: Abstract Droplet shear stress is considered as an important indicator that reflects soil erosion in sprinkler irrigation more accurately than kinetic energy, and the effect of droplet impact angle on the shear stress cannot be ignored. In this study, radial distribution of droplet impact angles, velocities, and shear stresses were investigated using a two-dimensional video disdrometer with three types of low-pressure sprinkler (Nelson D3000, R3000, and Komet KPT) under two operating pressures (103 and 138 kPa) and three nozzle diameters (3.97, 5.95, and 7.94 mm). Furthermore, the relationships among these characteristical parameters of droplet were analyzed, and their influencing factors were comprehensively evaluated. For various types of sprinkler, operating pressures, and nozzle diameters, the smaller impact angles and larger velocities of droplets were found to occur closer to the sprinkler, resulting in relatively low droplet shear stresses. The increase in distance from the sprinkler caused the droplet impact angle to decrease and velocity to increase, which contributed to a significant increase in the shear stress that reached the peak value at the end of the jet. Therefore, the end of the jet was the most prone to soil erosion in the radial direction, and the soil erosion in sprinkler irrigation could not only be attributed to the droplet kinetic energy, but also needed to be combined with the analysis of its shear stress. Through comparing the radial distributions of average droplet shear stresses among the three types of sprinklers, D3000 exhibited the largest value (26.94–3313.51 N/m2), followed by R3000 (33.34–2650.80 N/m2), and KPT (16.15–2485.69 N/m2). From the perspective of minimizing the risk of soil erosion, KPT sprinkler was more suitable for low-pressure sprinkler irrigation than D3000 and R3000 sprinklers. In addition to selecting the appropriate sprinkler type to reduce the droplet shear stress, a suitable sprinkler spacing could also provide acceptable results, because the distance from the sprinkler exhibited a highly significant (P<0.01) effect on the shear stress. This study results provide a new reference for the design of low-pressure sprinkler irrigation system.
      PubDate: 2022-11-01
       
  • Geochemical signatures and human health risk evaluation of rare earth
           elements in soils and plants of the northeastern Qinghai-Tibet Plateau,
           China

    • Free pre-print version: Loading...

      Abstract: Abstract Information on rare earth elements (REEs) in soils and plants of the Qinghai-Tibet Plateau is very limited. Therefore, in this study, we performed field sampling to explore the geochemical signatures and human health risk of REEs in soils and plants of the northeastern Qinghai-Tibet Plateau, China. A total of 127 soil samples and 127 plant samples were collected from the northeastern Qinghai-Tibet Plateau to acquire the geochemical signatures and related human health risks of REEs. The mean total concentrations of REEs in soils and plants of the study area reached 178.55 and 10.06 mg/kg, respectively. The light REEs in soils and plants accounted for 76% and 77% of the total REEs, respectively. REEs showed significantly homogenous distribution in soils but inhomogeneous distribution in plants of the study area. Characteristic parameters indicated that light REEs were enriched and fractionated significantly, while heavy REEs were moderately fractionated in soils and plants. REEs in soils and plants showed significantly negative Europium anomaly. Cerium showed slightly positive anomaly in plants and slight anomaly in soils. The normalized distribution patterns of REEs were generally similar in the analyzed soils and the corresponding plants of the study area. The average bio-concentration factor of REEs ranged from 0.0478 (Scandium) to 0.0604 (Europium), confirming a small accumulation of REEs by plants. Health risks caused by REEs in soils and plants were negligible, while risks for adults were lower than those for children. This study provides important information on REEs in soils and plants of the northeastern Qinghai-Tibet Plateau.
      PubDate: 2022-11-01
       
  • Spatial changes and driving factors of lake water quality in Inner
           Mongolia, China

    • Free pre-print version: Loading...

      Abstract: Abstract Lakes play important roles in sustaining the ecosystem and economic development in Inner Mongolia Autonomous Region of China, but the spatial patterns and driving mechanisms of water quality in lakes so far remain unclear. This study aimed to identify the spatial changes in water quality and the driving factors of seven lakes (Juyanhai Lake, Ulansuhai Lake, Hongjiannao Lake, Daihai Lake, Chagannaoer Lake, Hulun Lake, and Wulannuoer Lake) across the longitudinal axis (from the west to the east) of Inner Mongolia. Large-scale research was conducted using the comprehensive trophic level index (TLI (Σ)), multivariate statistics, and spatial analysis methods. The results showed that most lakes in Inner Mongolia were weakly alkaline. Total dissolved solids and salinity of lake water showed obvious zonation characteristics. Nitrogen and phosphorus were identified as the main pollutants in lakes, with high average concentrations of total nitrogen and total phosphorus being of 4.05 and 0.21 mg/L, respectively. The values of TLI (Σ) ranged from 49.14 to 71.77, indicating varying degrees of lake eutrophication, and phosphorus was the main driver of lake eutrophication. The lakes of Inner Mongolia could be categorized into lakes to the west of Daihai Lake and lakes to the east of Daihai Lake in terms of salinity and TLI (Σ). The salinity levels of lakes to the west of Daihai Lake exceeded those of lakes to the east of Daihai Lake, whereas the opposite trend was observed for lake trophic level. The intensity and mode of anthropogenic activities were the driving factors of the spatial patterns of lake water quality. It is recommended to control the impact of anthropogenic activities on the water quality of lakes in Inner Mongolia to improve lake ecological environment. These findings provide a more thorough understanding of the driving mechanism of the spatial patterns of water quality in lakes of Inner Mongolia, which can be used to develop strategies for lake ecosystem protection and water resources management in this region.
      PubDate: 2022-10-25
       
  • Effects of water stress on growth phenology photosynthesis and leaf water
           potential in Stipagrostis ciliata (Desf.) De Winter in North Africa

    • Free pre-print version: Loading...

      Abstract: Abstract Stipagrostis ciliata (Desf.) De Winter is a pastoral C4 grass grown in arid regions. This research work focused on assessing the growth of S. ciliata accessions derived from two different climate regions (a wet arid region in the Bou Hedma National Park in the central and southern part of Tunisia (coded as WA), and a dry arid region from the Matmata Mountain in the south of Tunisia (coded as DA)) under water stress conditions. Specifically, the study aimed to investigate the phenological and physiological responses of potted S. ciliata seedlings under different water treatments: T1 (200 mm/a), T2 (150 mm/a), T3 (100 mm/a) and T4 (50 mm/a). Growth phenology, net photosynthesis (Pn), stomatal conductance (gs), midday leaf water potential (Ψmd), predawn leaf water potential (Ψpd), soil water content (SWC) and soil water potential (Ψs) were observed during the water stress cycle (from December 2016 to November 2017). The obtained results showed that the highest growth potential of the two accessions (WA and DA) was recorded under treatment T1. The two accessions responded differently and significantly to water stress. Photosynthetic parameters, such as Pn and gs, decreased sharply under treatments T2, T3 and T4 compared to treatment T1. The higher water stress increased the R/S ratio (the ratio of root dry biomass to shoot dry biomass), with values of 1.29 and 2.74 under treatment T4 for accessions WA and DA, respectively. Principal component analysis (PCA) was applied, and the separation of S. ciliata accessions on the first two axes of PCA (PC1 and PC2) suggested that accession DA was detected in the negative extremity of PC1 and PC2 under treatments T1 and T2. This accession was characterized by a high number of spikes. For treatments T3 and T4, both accessions were detected in the negative extremity of PC1 and PC2. They were characterized by a high root dry biomass. Therefore, S. ciliata accessions responded to water stress by displaying significant changes in their behaviours. Accession WA from the Bou Hedma National Park (wet arid region) showed higher drought tolerance than accession DA from the Matmata Mountain (dry arid region). S. ciliata exhibits a significant adaptation capacity for water limitation and may be an important species for ecosystem restoration.
      PubDate: 2022-10-21
       
  • Implications of future climate change on crop and irrigation water
           requirements in a semi-arid river basin using CMIP6 GCMs

    • Free pre-print version: Loading...

      Abstract: Abstract Agriculture faces risks due to increasing stress from climate change, particularly in semi-arid regions. Lack of understanding of crop water requirement (CWR) and irrigation water requirement (IWR) in a changing climate may result in crop failure and socioeconomic problems that can become detrimental to agriculture-based economies in emerging nations worldwide. Previous research in CWR and IWR has largely focused on large river basins and scenarios from the Coupled Model Intercomparison Project Phase 3 (CMIP3) and Coupled Model Intercomparison Project Phase 5 (CMIP5) to account for the impacts of climate change on crops. Smaller basins, however, are more susceptible to regional climate change, with more significant impacts on crops. This study estimates CWRs and IWRs for five crops (sugarcane, wheat, cotton, sorghum, and soybean) in the Pravara River Basin (area of 6537 km2) of India using outputs from the most recent Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs) under Shared Socio-economic Pathway (SSP)245 and SSP585 scenarios. An increase in mean annual rainfall is projected under both scenarios in the 2050s and 2080s using ten selected CMIP6 GCMs. CWRs for all crops may decline in almost all of the CMIP6 GCMs in the 2050s and 2080s (with the exceptions of ACCESS-CM-2 and ACCESS-ESM-1.5) under SSP245 and SSP585 scenarios. The availability of increasing soil moisture in the root zone due to increasing rainfall and a decrease in the projected maximum temperature may be responsible for this decline in CWR. Similarly, except for soybean and cotton, the projected IWRs for all other three crops under SSP245 and SSP585 scenarios show a decrease or a small increase in the 2050s and 2080s in most CMIP6 GCMs. These findings are important for agricultural researchers and water resource managers to implement long-term crop planning techniques and to reduce the negative impacts of climate change and associated rainfall variability to avert crop failure and agricultural losses.
      PubDate: 2022-10-07
       
  • An over review of desertification in Xinjiang, Northwest China

    • Free pre-print version: Loading...

      Abstract: Abstract Desertification research in arid and semi-arid regions has always been actively pursued. In China, the problem of desertification in Xinjiang has also received extensive attention. Due to its unique geography, many scholars have conducted corresponding research on the desertification status of Xinjiang. In this paper, we comprehensively reviewed desertification in Xinjiang, and compared the underlying mechanisms of desertification and the status of desertification conditions after the implementation of ecological control projects. On a larger scale, desertification in Xinjiang can be divided into soil salinization inside oases and sandy desertification on the edges of oases. Human activities are considered the main cause of desertification, but natural factors also contribute to varying degrees. Research on the mechanisms of desertification has effectively curbed the development of desertification, but unreasonable use of land resources accelerates the risk of desertification. For desertification control, there are several key points. First, desertification monitoring and the early warning of desertification expansion should be strengthened. Second, monitoring and reversing soil salinization also play an important role in the interruption of desertification process. It is very effective to control soil salinization through biological and chemical methods. Third, the management of water resources is also essential, because unreasonable utilization of water resources is one of the main reasons for the expansion of desertification in Xinjiang. Due to the unreasonable utilization of water resources, the lower reaches of the Tarim River are cut off, which leads to a series of vicious cycles, such as the deterioration of ecological environment on both sides of the river and the worsening of desertification. However, in recent years, various desertification control projects implemented in Xinjiang according to the conditions of different regions have achieved remarkable results. For future studies, research on the stability of desert-oasis transition zone is also significantly essential, because such investigations can help to assess the risk of degradation and control desertification on a relatively large scale.
      PubDate: 2022-10-03
       
  • Quantitative distinction of the relative actions of climate change and
           human activities on vegetation evolution in the Yellow River Basin of
           China during 1981–2019

    • Free pre-print version: Loading...

      Abstract: Abstract Under the combined influence of climate change and human activities, vegetation ecosystem has undergone profound changes. It can be seen that there are obvious differences in the evolution patterns and driving mechanisms of vegetation ecosystem in different historical periods. Therefore, it is urgent to identify and reveal the dominant factors and their contribution rates in the vegetation change cycle. Based on the data of climate elements (sunshine hours, precipitation and temperature), human activities (population intensity and GDP intensity) and other natural factors (altitude, slope and aspect), this study explored the spatial and temporal evolution patterns of vegetation NDVI in the Yellow River Basin of China from 1989 to 2019 through a residual method, a trend analysis, and a gravity center model, and quantitatively distinguished the relative actions of climate change and human activities on vegetation evolution based on Geodetector model. The results showed that the spatial distribution of vegetation NDVI in the Yellow River Basin showed a decreasing trend from southeast to northwest. During 1981–2019, the temporal variation of vegetation NDVI showed an overall increasing trend. The gravity centers of average vegetation NDVI during the study period was distributed in Zhenyuan County, Gansu Province, and the center moved northeastwards from 1981 to 2019. During 1981–2000 and 2001–2019, the proportion of vegetation restoration areas promoted by the combined action of climate change and human activities was the largest. During the study period (1981–2019), the dominant factors influencing vegetation NDVI shifted from natural factors to human activities. These results could provide decision support for the protection and restoration of vegetation ecosystem in the Yellow River Basin.
      PubDate: 2022-10-03
       
  • Effects of native and invasive Prosopis species on topsoil physiochemical
           properties in an arid riparian forest of Hormozgan Province, Iran

    • Free pre-print version: Loading...

      Abstract: Abstract Biological invasions can alter soil properties within the range of their introduced, leading to impacts on ecosystem services, ecosystem functions, and biodiversity. To better understand the impacts of biological invasions on soil, we compared topsoil physiochemical properties at sites with invasive alien tree species (Prosopis juliflora), native tree species (Prosopis cineraria, Acacia tortilis, and Acacia ehrenbergiana), and mixed tree species in Hormozgan Province of Iran in May 2018. In this study, we collected 40 soil samples at a depth of 10 cm under single tree species, including P. juliflora, P. cineraria, A. tortilis, and A. ehrenbergiana, as well as under mixed tree species. The results showed that organic matter, moisture, potassium, calcium, nitrogen, and magnesium in topsoil at sites with A. tortilis and A. ehrenbergiana growing in combination with P. cineraria were higher than that at sites where P. juliflora was present (P<0.05). Sodium at sites with A. tortilis and A. ehrenbergiana growing in combination with P. cineraria and P. juliflora was lower as compared to that at sites with just A. tortilis and A. ehrenbergiana. Electrical conductivity was lower at sites with A. tortilis and A. ehrenbergiana growing in combination with P. cineraria, and it was higher at sites with mixed Acacia and P. juliflora trees. Based on the generally more positive effect of native Acacia and P. cineraria on topsoil physiochemical properties as compared to the P. julifora, afforestation with native tree species is preferable for soil restoration. In addition, due to the negative effects of P. julifora on soil properties, P. julifora spread should be better managed.
      PubDate: 2022-10-01
       
  • Manipulated precipitation regulated carbon and phosphorus limitations of
           microbial metabolisms in a temperate grassland on the Loess Plateau, China
           

    • Free pre-print version: Loading...

      Abstract: Abstract Manipulated precipitation patterns can profoundly influence the metabolism of soil microorganisms. However, the responses of soil organic carbon (SOC) and nutrient turnover to microbial metabolic limitation under changing precipitation conditions remain unclear in semi-arid ecosystems. This study measured the potential activities of enzymes associated with carbon (C: β-1,4-glucosidase (BG) and β-D-cellobiosidase (CBH)), nitrogen (N: β-1,4-N-acetylglucosaminidase (NAG) and L-leucine aminopeptidase (LAP)) and phosphorus (P: alkaline phosphatase (AP)) acquisition, to quantify soil microbial metabolic limitations using enzymatic stoichiometry, and then identify the implications for soil microbial metabolic limitations and carbon use efficiency (CUE) under decreased precipitation by 50% (DP) and increased precipitation by 50% (IP) in a temperate grassland. The results showed that soil C and P were the major elements limiting soil microbial metabolism in temperate grasslands. There was a strong positive dependence between microbial C and P limitations under manipulated precipitation. Microbial metabolism limitation was promoted by DP treatment but reversed by IP treatment. Moreover, CUE was inhibited by DP treatment but promoted by IP treatment. Soil microbial metabolism limitation was mainly regulated by soil moisture and soil C, N, and P stoichiometry, followed by available nutrients (i.e., NO 3 − , NH 4 + , and dissolved organic C) and microbial biomass (i.e., MBC and MBN). Overall, these findings highlight the potential role of changing precipitation in regulating ecosystem C turnover by limiting microbial metabolism and CUE in temperate grassland ecosystems.
      PubDate: 2022-10-01
       
  • Competition, spatial pattern, and regeneration of Haloxylon ammodendron
           and Haloxylon persicum communities in the Gurbantunggut Desert, Northwest
           China

    • Free pre-print version: Loading...

      Abstract: Abstract Competition, spatial pattern, and regeneration are important factors affecting community composition, structure, and dynamics. In this study, we surveyed 300 quadrats from three dunes (i.e., fixed dunes, semifixed dunes, and mobile dunes) in the Gurbantunggut Desert, Northwest China, from late May to early June in 2021. The intraspecific and interspecific competition, spatial pattern, and regeneration of Haloxylon ammodendron and Haloxylon persicum were studied using the Hegyi competition index and point pattern analysis methods. The results showed that the optimal competition distance of the objective tree in the H. ammodendron and H. persicum communities was 6 m. The intraspecific and interspecific competition of H. ammodendron was the greatest in fixed dunes, while the competition intensity of H. persicum in semifixed dunes and mobile dunes was greater than that in fixed dunes. The order of competition intensity of the two populations was seedlings>saplings>adults, and the competition intensity gradually decreased with the increase in plant diameter. The spatial distribution pattern of the three life stages of H. ammodendron and H. persicum was random, and there were no correlations between seedlings and saplings, adults and saplings, and seedlings and adults. The density of regenerated seedlings and saplings of H. ammodendron in the three dunes followed the order of fixed dunes>semifixed dunes>mobile dunes, and that of H. persicum in the three dunes followed the order of mobile dunes>semifixed dunes>fixed dunes. Therefore, when artificially planting H. ammodendron and H. persicum for sand control, the planting interval should be 6 m, and seedlings should be planted next to adults to minimize the competition between plants, which can promote the renewal of H. ammodendron and H. persicum and the stabilization of the ecosystem.
      PubDate: 2022-10-01
       
  • Leaf morpho-physiology and phytochemistry of olive trees as affected by
           cultivar type and increasing aridity

    • Free pre-print version: Loading...

      Abstract: Abstract The olive species (Olea europaea L.) is an ancient traditional crop grown under rainfed conditions in the Mediterranean Basin. In response to the growing national and international demand for olive oil, the olive cultivars are introduced into highly arid new bioclimatic areas. Subsequently, the morpho-physiology and phytochemistry of olive trees are potentially changing among cultivar types and geographical conditions. In the present work, we have undertaken an assessment on the impacts of geographical location and cultivar types on the leaf morpho-physiology and phytochemistry of olive trees. Thus, leaves of the two most cultivated olive tree varieties, Chemlal and Sigoise, were collected from three geographical regions (Setif, Batna, and Eloued) with increasing aridity in Algeria. Leaf samples from the geographical regions were analyzed using the standard physiological experiment, colorimetric method, and a chromatography assay. Leaves of both cultivars exhibited a significant variance in terms of the leaf shape index but not for the leaf tissue density, specific leaf weight, and specific leaf area. Photosynthetic pigment contents were affected by both cultivar type and geographical location, with the lowest pigment content recorded in the Sigoise cultivar from the Setif region. Compared with the Setif and Batna regions, dried leaves of both cultivars from the Eloued region showed the higher levels of the total polyphenol, total flavonoid, and total tannin, as well as a better antioxidant capacity. Liquid chromatography-mass spectrometry analysis of all leaf extracts identified the following phenolic acids as major compounds: oleuropein, naringin, apigenin-7-O-glucoside, kaempferol, quercetin, quercitrin, luteolin-7-O-naringenin, and quinic acid. Lower contents were found for p-Coumaric acid, trans-Ferulic acid, hyperoside, rutin, apigenin, caffeic acid, protocatechuic acid, o-Coumaric acid, and gallic acid. Also, epicatechin and catechin+ were not found in the leaf extracts of the Sigoise cultivar. The leaf organic extracts in both cultivars displayed promising anti-cancer activity that was affected by geographical location and organic solvent polarity. Briefly, although increasing aridity and soil organic and mineral deficiency affected the leaf morpho-physiological parameters, both cultivars sustained a chemical richness, a good antioxidant, and an anti-tumoral capacity in leaves. Furthermore, the findings revealed that regardless the olive tree genotype, there was a significant impact of geographical location on the leaf morpho-physiology, bioactivity, and chemical composition, which may consequently modulate the growth and oil production of olive trees.
      PubDate: 2022-09-22
      DOI: 10.1007/s40333-022-0078-9
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.210.77.106
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-