Landscape and Ecological Engineering, Год журнала: 2024, Номер unknown
Опубликована: Окт. 14, 2024
Язык: Английский
Landscape and Ecological Engineering, Год журнала: 2024, Номер unknown
Опубликована: Окт. 14, 2024
Язык: Английский
Resources, Год журнала: 2024, Номер 13(4), С. 59 - 59
Опубликована: Апрель 19, 2024
Mountain societies are strongly linked to natural resources and their rational management. The growing population has led the management of mountain areas according emerging human needs. study was conducted in Urej River catchment (The Fann Mountains, Tajikistan). This paper aims present changes land use 1988–2023 resulting from environmental conditions reform. Pasturelands predominate area (93.8%), while built-up with kitchen garden irrigated cover 1.8% 4.0% area, respectively. Kitchen gardens provide food for residents. Significant land-use were observed along Uroz River, where irrigation system developed that have not yet been used plant cultivation. is typical many Tajikistan, it impossible obtain crops without due climatic conditions. Until 1988, as intensively cultivated today. Under ongoing lease based on Dehkan Farm Act, grazing still owned by state, but inhabitants access it. leased does little improve economic situation households contributes preventing ecosystem degradation slopes caused humans.
Язык: Английский
Процитировано
1GIScience & Remote Sensing, Год журнала: 2024, Номер 61(1)
Опубликована: Май 3, 2024
The cellular automata (CA) model is the predominant method for predicting land use and cover (LULC) changes. accuracy of this critically depends on well-defined transition rules, which encapsulate local dynamics complex systems facilitate manifestation organized global patterns. While current studies largely concentrate matrices as core elements these exclusive reliance insufficient capturing full spectrum change potential. Addressing gap, our research introduces adaptive probability matrix with quality seeds (ATPMS) model, incorporates both Markov genetic algorithm (GA) into traditional CA framework. Furthermore, an artificial neural network (ANN) utilized to determine suitability. Implemented in Beijing, Wuhan, Pearl River Delta (PRD), results indicate that ATPMS-ANN-CA surpasses standard Markov-ANN-CA various validation metrics, displaying improvements overall (OA) by 0.03% 0.74% figure merit (FoM) 3.67% 63.14%. Additionally, excels providing detailed landscape analysis.
Язык: Английский
Процитировано
1Remote Sensing, Год журнала: 2024, Номер 16(9), С. 1495 - 1495
Опубликована: Апрель 24, 2024
The urban heat island (UHI) represents an anthropogenic modification to the earth’s surface, and its relationship with development, built-up age dependency in particular, is poorly understood. We integrated global artificial impervious areas analyze impacts of development intensity (UDI) on land surface temperatures (LSTs) Hefei, capital Anhui Province China, from 2000 2019. A key finding was that different ages were strongly associated LST, this does not change significantly over time, suggesting temporal stability spatial patterns LSTs. This puts forward a challenge application classic concept space-for-time LST studies because premise variation are equivalent. result reveals vital importance annual activities thermal environment. Another highlighted sensitivity UDI, effective measure impact urbanization which increased 0.255 °C per 10% UDI 0.818 UDI. more than doubling should be major concern for city administration. These findings have crucial theoretical practical significance regulation LSTs UHI.
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2024, Номер 16(14), С. 6245 - 6245
Опубликована: Июль 22, 2024
Vegetation phenology is a biological factor that directly or indirectly affects the dynamic equilibrium between water and carbon fluxes in ecosystems. Quantitative evaluations of regulatory mechanisms vegetation on water–carbon coupling are great significance for neutrality sustainable development. In this study, interannual variation partial correlation (the start growing season (SOS), end (EOS), length (LOS)) ET (evapotranspiration), GPP (gross primary productivity), WUE (water use efficiency; index) Huang-Huai-Hai Yangtze River Basins China from 2001 to 2019 were systematically quantified. The response patterns spring (autumn) SOS, EOS, LOS, as well interpretation rate changes, evaluated. Further analysis was conducted differences across different river basins. results showed during growth season, greatly influenced by phenology. Due increases caused extending For example, an extended LOS basins reduced WUE, while Basin, it increased WUE. After 1 day, 3.01–4.79 mm 4.22–6.07 gC/m2, respectively, decreased 0.002–0.008 gC/kgH2O. indicates compared ET, early SOS (longer LOS) Yellow Hai led greater increase GPP, therefore weakening This suggests phenological changes may ineffective arid, semi-arid, semi-humid areas further exacerbate drought. humid dominated improved local efficiency.
Язык: Английский
Процитировано
0Geocarto International, Год журнала: 2024, Номер 39(1)
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Geography and sustainability, Год журнала: 2024, Номер unknown
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
0Landscape and Ecological Engineering, Год журнала: 2024, Номер unknown
Опубликована: Окт. 14, 2024
Язык: Английский
Процитировано
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