Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai–Tibet Plateau DOI Creative Commons
Yunmin Chen, Liusheng Han,

Tian Xia

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(21), С. 4054 - 4054

Опубликована: Окт. 31, 2024

Net primary production (NPP) serves as a critical proxy for monitoring changes in the global capacity vegetation carbon sequestration. The assessment of factors (i.e., human activities and climate changes) influencing NPP is great value study terrestrial systems. To investigate influence on grassland NPP, ecologically vulnerable Qinghai–Tibet Plateau region was considered an appropriate area period from 2000 to 2020. We innovated use RICI index quantitatively represent analyzed effects climatic using geographical detector. In addition, future predicted through integration two modeling approaches: Patch-Generating Land Use Simulation (PLUS) model Carnegie–Ames–Stanford Approach (CASA) model. revealed that expanded contributed 7.55 × 104 Gg C (Gg = 109 g) total whereas deterioration resulted decline 1.06 105 C. factor identified dominant restoration, representing 70.85% well degradation, 92.54% NPP. By subdividing change activity into sub-factors detecting them with detector, results show anthropogenic have significant ability explain geographic variation considerable extent, effect greater when interact. q-values Relative Impact Contribution Index (RICI) land are consistently than 0.6, management practices evapotranspiration remaining at approximately 0.5. analysis interaction between reveals average impact 0.8. 2030, natural development scenario, economic scenario (ED), ecological protection (EP) decreasing trend due change, factor, causing decrease. Human play role improvement. EP indicates positive expansion growth rate forests, water, wetlands, while ED rapid urbanization. It notable this accompanied by temporary suspension urban greening.

Язык: Английский

Understanding the county-level relationship between population change and ecological environment quality dynamic in China, 2000–2020 DOI Creative Commons
Mingxing Zhong, Qingqing Liu, Xinyue Hu

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Янв. 22, 2025

Global population growth has increasingly intensified human interferences with natural ecosystems. These often exhibit complexity and diversity characteristics. Understanding the relationship between environmental issues become a focus in current scientific community. This study, leveraging multi-source remote sensing census data from China for years 2000, 2010, 2020, utilized multiple spatial econometric models to investigate pressure of dynamics on Ecological Environment Quality (EEQ). A bivariate local autocorrelation model was applied pinpoint regions that experienced significant over past two decades. Results showed there rise density, larger cities attracting more migrants residents EEQ declining most counties. The analysis revealed strong dependence changes population. Spatial regression were effective than non-spatial explaining EEQ. Population significantly associated decline. Based model, decreased by 0.029% every 1% increase 2000 2010. During 2010–2020, this impact pronounced, 0.069% decline Pressure zones widespread unsustainable (decreases EEQ), followed areas both increases declines, fewer demonstrating coordinated development improvements. Effective solutions address challenges involve government regulation, strategic planning, cross-regional management, sharing responsibilities benefits.

Язык: Английский

Процитировано

0
Patterns and drivers of population in the borderlands of Mainland Southeast Asia DOI
Chiwei Xiao, Yuqian Liu, Yanzhao Yang

и другие.

Habitat International, Год журнала: 2025, Номер 157, С. 103321 - 103321

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

0
Combined effect of landuse/landcover and climate change projection on the spatiotemporal streamflow response in cryosphere catchment in the Tibetan Plateau DOI
Kanon Guédet Guédé,

Zhongbo Yu,

Slobodan P. Simonović

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124353 - 124353

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

0
Long time-series modelling and analysis of lake expansion on the Qinghai Tibet Plateau using multi-source datasets DOI
Han-Su Zhang, Y. J. Mo,

Kaiwen Zhong

и другие.

Remote Sensing Letters, Год журнала: 2025, Номер 16(8), С. 806 - 819

Опубликована: Май 15, 2025

Язык: Английский

Процитировано

0
Estimating the urban ecological quality on the Qinghai–Tibet Plateau using a spatiotemporal remote sensing ecological index DOI
Le Chen, Shi Shen,

Changqing Song

и другие.

Deleted Journal, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai–Tibet Plateau DOI Creative Commons
Yunmin Chen, Liusheng Han,

Tian Xia

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(21), С. 4054 - 4054

Опубликована: Окт. 31, 2024

Net primary production (NPP) serves as a critical proxy for monitoring changes in the global capacity vegetation carbon sequestration. The assessment of factors (i.e., human activities and climate changes) influencing NPP is great value study terrestrial systems. To investigate influence on grassland NPP, ecologically vulnerable Qinghai–Tibet Plateau region was considered an appropriate area period from 2000 to 2020. We innovated use RICI index quantitatively represent analyzed effects climatic using geographical detector. In addition, future predicted through integration two modeling approaches: Patch-Generating Land Use Simulation (PLUS) model Carnegie–Ames–Stanford Approach (CASA) model. revealed that expanded contributed 7.55 × 104 Gg C (Gg = 109 g) total whereas deterioration resulted decline 1.06 105 C. factor identified dominant restoration, representing 70.85% well degradation, 92.54% NPP. By subdividing change activity into sub-factors detecting them with detector, results show anthropogenic have significant ability explain geographic variation considerable extent, effect greater when interact. q-values Relative Impact Contribution Index (RICI) land are consistently than 0.6, management practices evapotranspiration remaining at approximately 0.5. analysis interaction between reveals average impact 0.8. 2030, natural development scenario, economic scenario (ED), ecological protection (EP) decreasing trend due change, factor, causing decrease. Human play role improvement. EP indicates positive expansion growth rate forests, water, wetlands, while ED rapid urbanization. It notable this accompanied by temporary suspension urban greening.

Язык: Английский

Процитировано

1