 Subjects -> GEOGRAPHY (Total: 493 journals)
| A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | | The end of the list has been reached or no journals were found for your choice. |
|
|
- The impact of land use/cover change on extreme temperatures on the Yangtze
River Delta, China
Authors: Nina Zhu, Haiqing Yang, Mengyu Zhu, Dahui Li
Pages: 219 - 238
Abstract: The contribution from land use/cover change (LUCC) toward temperature in recent decades is of great concern across the globe. Although there have been many studies, most of them focus on the discussion of average temperature and lack a discussion of extreme temperatures. In this study, we first investigated the spatio-temporal changes in extreme temperatures in the Yangtze River Delta during 1980–2020 using the ensemble empirical mode decomposition (EEMD) method. Then, we explored the impact of LUCC on extreme temperatures using the observation minus reanalysis (OMR) method. Finally, the relationship between the normalized difference vegetation index (NDVI) and extreme temperatures was analyzed using the correlation analysis method. We found that: (1) extreme temperatures have a nonlinear variation characteristics on different time scales. Extremely high temperatures (EHT) clearly exhibited a monthly time scale (quasi-3-month), an interannual time scale (quasi-1-year, quasi-2-year, quasi-3-year and quasi-5-year), and an interdecadal time scale (quasi-10-year and quasi-35-year). Extremely low temperatures (ELT) also clearly exhibited a monthly time scale (quasi-3-month), an interannual scale (quasi-1-year, quasi-2-year, quasi-3-year and quasi-6-year), and an interdecadal scale (quasi-10-year and quasi-20-year). (2) EHT showed an east–middle–west staggered phase and ELT showed a southeast–northwest anti-phase characteristic in spatial distribution. (3) The contribution rates of LUCC on EHT and ELT are 53.6% and 92.4%, respectively, which are higher than for the average temperature (40%). (4) The monthly time scale response of the NDVI to extreme temperatures is more regionally concentrated and significant than that on the interannual time scale in spatial distribution. This paper makes up for the insufficiency of the impact of land use/cover changes on extreme temperature changes at multiple time scales and enriches our understanding of climate change.
PubDate: 2023-01-23
DOI: 10.12854/erde-2022-590
Issue No: Vol. 153, No. 4 (2023)
- Soil erosion in the Xiangxi River Basin based on the RUSLE model
Authors: Wenli Rao, Zhenxia Liu, Qingfeng Zhang
Pages: 239 - 253
Abstract: The Xiangxi River basin is the largest branch in the upper reaches of Three Gorges Reservoir located in the Hubei prov- ince of China, and it has a significant effect on the storage of the Three Gorges Reservoir. However, soil erosion of the Xiangxi River basin often leads to a series of problems. To minimize the impact of soil erosion on crop production and ecological life, the objective of this study was to evaluate soil erosion of the study area based on the soil and water loss model (RUSLE) with average monthly rainfall data for many years, land-use maps, soil maps, and the remote sensing (RS) images of the Xiangxi River basin and to analyze the spatial characteristics of soil erosion of the study area by geographic information system (GIS) methods in ArcGIS 10.2. The results showed that the areas of a lower grade of ero- sion increased dramatically while the number of the areas of a higher erosion grade decreases relatively compared with the previous study in 2011. This conclusion illustrated that the engineering measures taken by relevant departments affect high grade soil erosion. However, the slope zone of [30, 40) still suffered from high erosion due to mountains with heavy rainfall. It is suggested that more attention should be paid to reduce erosion in mountains, because the Xiangxi River basin belongs to early karst development and large areas of soil are covered with limestone soil. Existing measures to enclose the land for reforestation were not strong enough, thus other measures like planting grass in mountainous areas to alleviate soil erosion should be taken. Meanwhile, for the yellow-brown soil with high erosion, it is necessary to protect soil from stagnant water.
PubDate: 2023-02-08
DOI: 10.12854/erde-2022-595
Issue No: Vol. 153, No. 4 (2023)
- Amazonia threatened by Brazilian President Bolsonaro’s mining agenda
Authors: Rodrigo Vilani, Lucas Ferrante, Philip M. Fearnside
Pages: 254 - 258
Abstract: Brazilian President Jair Bolsonaro has induced a cycle of deforestation and violence in the Amazon, where dismantling environmental agencies and gutting protection policies have become a central strategy in removing barriers to predatory exploitation of natural resources. Mining is a key part of this agenda. Brazil and the international community must struggle to reverse the ongoing destruction of the Amazon.
PubDate: 2022-11-30
DOI: 10.12854/erde-2022-622
Issue No: Vol. 153, No. 4 (2022)
- What makes Tanzanian smallholder farmers satisfied with their life'
It’s not farming!
Authors: Victoria Luxen, Gideon Tups, Peter Dannenberg
Pages: 259 - 263
Abstract: It is widely assumed that farmers want to farm and that successful farming is positively associated with a farmer’s life satisfaction. Accordingly, especially development interventions in the Global South are focussed on upgrading and transforming rural farming landscapes under the general premise of raising productivity. However, growing evidence suggests that the assumed centrality of farming for life satisfaction is in question. The rise of trans-local and diversified livelihoods is permeating rural landscapes and new rural hopes, aspirations and livelihoods include more than “ just farming”. This study responds to a simple question: What makes smallholder farmers satisfied with their life' In doing so, it uses the case study of two agricultural clusters in Tanzania which have recently received massive financial and donor support to upgrade and transform smallholder agriculture. Based on survey data with 865 farming households, we use a multivariate logistic regression model to test for the effects of different agricultural and non-agricultural livelihood assets on the life satisfaction of smallholders. Our results suggest that just improving productivity-enhancing agricultural assets (agricultural capital, output, knowledge) is not significantly raising smallholders’ life satisfaction. Rather, more fundamental livelihood assets such as positionality (gender and age), savings and housing conditions have the strongest effect.
PubDate: 2022-12-12
DOI: 10.12854/erde-2022-623
Issue No: Vol. 153, No. 4 (2022)
|
Open Access journal
