Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China DOI Creative Commons
Wang Yin, Yang Wang,

Wenzhe Xu

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Sept. 14, 2023

Northern Xinjiang is the center of gravity for Xinjiang's economic development, and "production-living-ecological space" (PLES) great significance to optimization regional territorial spatial structure. Taking northern as our study area, we analyze temporal variations ecological environmental effects PLES evolution from 2000 2020. To do so, apply grid cell method, quality index, global autocorrelation model, kernel density estimation. Additionally, use a geographic detector model reveal drivers variation in quality. Results show that 2020, area mainly accommodation land. However, there an obvious trend showing decrease land increase other types. Production living increased most, among which agricultural industrial were converted grassland water land, respectively. The environment basically stable during period, with overall slight declining trend, indicates has decreased slightly. distribution eco-environmental effect shows significant pattern "dense west sparse east", along clustering phenomenon. main factor elevation, interactions between factors are non-linearly double-factor enhanced. differentiation result multiple factors. Exploring its driving can provide scientific basis implementation planning protection Xinjiang.

Language: Английский

The relationship evolution between urbanization and urban ecological resilience in the Northern Slope Economic Belt of Tianshan Mountains, China DOI
Kewen Wang, Haitao Ma, Chuanglin Fang

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 97, P. 104783 - 104783

Published: July 5, 2023

Language: Английский

Citations

39
Response of water quality to climate warming and atmospheric deposition in an alpine lake of Tianshan Mountains, Central Asia DOI Creative Commons
Fei Han, Tie Liu, Yue Huang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 147, P. 109949 - 109949

Published: Jan. 30, 2023

Alpine lakes are usually unaffected by anthropogenic disturbance, yet these aquatic ecosystems highly sensitive to climate warming and atmospheric deposition. It is unclear how water quality of alpine has responded environmental changes. Unprecedented degradation in (characterized nutrient enrichment phytoplankton blooms) had occurred the Tianchi Lake, an lake Tianshan Mountains. Here we measured dust precipitation chemistry assess source, magnitude, impact deposition on stoichiometry Lake. Long-term (2015–2021) limnological data consisted chlorophyll were used quantify trends quality, as well association between biomass air temperature. We proposed a critical model based guarantee probability estimate maximum allowable load. The results indicated that pollutants from urban agglomeration derived semi-arid region represented primary sources nutrient, which contributed 6.86 t nitrogen (N) 0.23 phosphorus (P) during 2021. Enhanced fertilization effect due high was expected promote blooms, but unbalanced N:P ratio would exacerbate P limitation productivity. Climate seemed equally crucial synergistically stimulate growth, first appearance blooms corresponded beginning warm period. Further studies shown increase frequency duration heat waves accelerate eutrophication. To mitigate degradation, suggested 40.63 N 0.49 should be reduced. conclude synergistic effects even though it protected strict policies. More conducted potential ensure safety ecological security.

Language: Английский

Citations

10
Characteristics of Changes in Land Use Intensity in Xinjiang Under Different Future Climate Change Scenarios DOI Open Access

L. Huang,

Hongqi Wu, Mingjie Shi

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4322 - 4322

Published: May 9, 2025

Climate change drives land use intensity changes in Xinjiang, a typical inland arid region. There are relatively few studies on the under future climate change. For this purpose, study adopts Patch-level Land Use Simulation (PLUS) model and Markov chain model, combined with shared socioeconomic pathways (SSPs). This uses PLUS to make projections of use/land cover (LULC) Xinjiang different scenarios for 2025–2060, constructs atlas visualize regional spatial patterns, analyzes driving factors. The results show that SSP126 scenario, cropland area decreases sharply while forest, grassland, water expand rapidly. However, SSP245 SSP585 scenarios, trend is obviously reversed; expands quickly, grassland decreases. In addition, management control LULC strict, it may be significantly affected by conversion forest active. Under productivity increases, which exacerbate constructed land, not promote type proportions Population density GDP key drivers intensity, showing significant heterogeneity. conducts research providing data support sustainable development helping government formulate policies cope changes.

Language: Английский

Citations

0
Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China DOI Creative Commons
Wang Yin, Yang Wang,

Wenzhe Xu

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Sept. 14, 2023

Northern Xinjiang is the center of gravity for Xinjiang's economic development, and "production-living-ecological space" (PLES) great significance to optimization regional territorial spatial structure. Taking northern as our study area, we analyze temporal variations ecological environmental effects PLES evolution from 2000 2020. To do so, apply grid cell method, quality index, global autocorrelation model, kernel density estimation. Additionally, use a geographic detector model reveal drivers variation in quality. Results show that 2020, area mainly accommodation land. However, there an obvious trend showing decrease land increase other types. Production living increased most, among which agricultural industrial were converted grassland water land, respectively. The environment basically stable during period, with overall slight declining trend, indicates has decreased slightly. distribution eco-environmental effect shows significant pattern "dense west sparse east", along clustering phenomenon. main factor elevation, interactions between factors are non-linearly double-factor enhanced. differentiation result multiple factors. Exploring its driving can provide scientific basis implementation planning protection Xinjiang.

Language: Английский

Citations

6