Dynamic Analysis and Risk Assessment of Vegetation Net Primary Productivity in Xinjiang, China DOI Creative Commons
Wenjie Zhang, Xiang Zhao, Hao Li

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(19), С. 3604 - 3604

Опубликована: Сен. 27, 2024

Vegetation net primary productivity (NPP) is a key indicator for assessing vegetation dynamics and carbon cycle balance. Xinjiang located in an arid ecologically fragile region northwest China, but the current understanding of still limited. This study aims to analyze Xinjiang’s NPP spatial temporal trends, using random forest regression quantify extent which climate change human activities affect productivity. CMIP6 (Coupled Model Intercomparison Project Phase 6) scenario data help assess restoration potential future risks. Our findings indicate that (1) exhibits significant increasing trend from 2001 2020, with three-quarters experiencing increase, 2.64% area showing decrease (p < 0.05), Ili River Basin nonsignificant decreasing trend; (2) precipitation radiation are major drivers variations, contribution ratios 35.13% 30.17%, respectively; (3) noteworthy exists on Tian Shan northern slope Irtysh Basin, where average potentials surpass 80% relative while has highest risk. explores factors influencing Xinjiang, aiming provide references risk mitigation, thereby promoting sustainable ecological development Xinjiang.

Язык: Английский

Unraveling the impact of urban expansion on vegetation carbon sequestration capacity: A case study of the Yangtze River Economic Belt DOI
Jinyang Wang, Zhenfeng Shao, Peng Fu

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106157 - 106157

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

6

Time-lag effects of NEP and NPP to meteorological factors in the source regions of the Yangtze and Yellow Rivers DOI Creative Commons
Hengshuo Zhang, Xizhi Lv, Yongxin Ni

и другие.

Frontiers in Plant Science, Год журнала: 2025, Номер 15

Опубликована: Янв. 10, 2025

Vegetation productivity and ecosystem carbon sink capacity are significantly influenced by seasonal weather patterns. The time lags between changes in these patterns (including vegetation) responses is a critical aspect vegetation-climate ecosystem-climate interactions. These can vary considerably due to the spatial heterogeneity of vegetation ecosystems. In this study focused on source regions Yangtze Yellow Rivers (SCRYR), we utilized long-term datasets Net Primary Productivity (NPP) model-estimated Ecosystem (NEP) from2015 2020, combined with reconstructed 8-day scale climate sequences, conduct partial correlation regression analysis (isolating influence individual meteorological factors lag effects). found that length effects varies depending regional topography, types, sensitivity their ecological environments factors. region River (SCR), times for NPP NEP response temperature (Tem) longer, compared (SYR), where generally less than 10 days. long precipitation (Pre), ranging from 50 60 days, were primarily concentrated northwestern part SCR, while precipitation, 34 48 covered broad western area. exhibits least solar radiation (SR), exceeding 54 days 99.30% region. contrast, showed varying respect SR: short (ranging 0 15 days) observed areas, 55 64 evident areas. highest SVL, followed C3A, PW, BDS, C3 descending order. This examined spatiotemporal impacts climatic drivers both perspectives. findings crucial enhancing sequestration at important water sources China.

Язык: Английский

Процитировано

1

Changes in water conservation and a new estimation for its future potential DOI

Mingzhu Xu,

Guoce Xu,

Shibo Liu

и другие.

CATENA, Год журнала: 2025, Номер 250, С. 108761 - 108761

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

1

Unfolding the effectiveness of ecological restoration programs in enhancing vegetation carbon sinks across different climate zones in China DOI
Yunting Shi, Biao Zhang, Liang Li

и другие.

Resources Conservation and Recycling, Год журнала: 2024, Номер 212, С. 107974 - 107974

Опубликована: Окт. 19, 2024

Язык: Английский

Процитировано

5

Driving mechanisms and threshold identification of landscape ecological risk: A nonlinear perspective from the Qilian Mountains, China DOI
Bin Qiao, Hao Yang, Xiaoyun Cao

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113342 - 113342

Опубликована: Март 26, 2025

Язык: Английский

Процитировано

0

Nonlinear threshold effects of environmental drivers on vegetation cover in mountain ecosystems: From constraint mechanisms to adaptive management DOI
Bin Qiao, Xiaoyun Cao, Hao Yang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113328 - 113328

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

0

Analysis of Cultivated Land Productivity in Southern China: Stability and Drivers DOI Creative Commons
Zhihong Yu, Yingcong Ye, Yefeng Jiang

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 708 - 708

Опубликована: Март 26, 2025

Owing to climate change and increasing resource competition, elucidating the control mechanism of cultivated land productivity stability is essential. Previous research has focused on anthropogenic or climatic factors individually, overlooking their combined effects; therefore, “climate–anthropogenic” framework was constructed. Net primary (NPP) employed measure investigate impact in Poyang Lake from 2001 2022. Results revealed that NPP increased but fluctuated significantly higher southern than north. The low spatial distribution fluctuation area concentrated periphery Lake, riverbank comprised middle high areas, Ganjiang River Delta exhibited fluctuation. Multiple linear regression analysis indicated positively impacted by farmland river proximity average patch fractal dimension affected negatively annual precipitation. Stable production improved utilization efficiency requires irrigation drainage system optimization adaptability change. Moreover, fragmentation should be reduced, resilience external disturbances enhanced.

Язык: Английский

Процитировано

0

Research Trends in Vegetation Spatiotemporal Dynamics and Driving Forces: A Bibliometric Analysis (1987–2024) DOI Open Access

Dejin Dong,

Jianbo Shen, Daohong Gong

и другие.

Forests, Год журнала: 2025, Номер 16(4), С. 588 - 588

Опубликована: Март 28, 2025

Under the dual pressures of climate change and rapid urbanization, a comprehensive analysis vegetation’s spatiotemporal patterns their driving forces plays pivotal role for addressing global ecological challenges. However, systematic bibliometric analyses in this field remain limited. This study involved 18,270 related publications from 1989 to 2024 retrieved Web Science SCI-Expanded database, elucidating research trends, methodologies, key thematic areas. Utilizing bibliometrix biblioshiny tools, results reveal an annual average growth rate 17.62% number published articles, indicating expansion. Climate emerged as core force, with high-frequency keywords such “vegetation”, “dynamics”, “variability”. China (18,687 papers), United States (14,502 Germany (3394 papers) are leading contributors domain, showing fastest output, albeit relatively lower citation rates. Core journals, including Remote Sensing Environment Global Change Biology, have played roles advancing vegetation dynamics research, remote sensing techniques dominating field. The highlights shift single-variable (e.g., temperature, precipitation) multi-scale multidimensional approaches around 2010. Regional studies, those focusing on Loess Plateau, gaining importance, while advancements machine learning technologies enhanced precision scalability research. provides summary current state development trends forces, offering valuable insights future

Язык: Английский

Процитировано

0

Analysis of spatial and temporal variations of vegetation NPP and TWS in the Yangtze River Basin DOI Creative Commons
Xing Liu,

Kunjun Tian,

Nengfang Chao

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Окт. 22, 2024

Net primary productivity (NPP) is an important parameter reflecting vegetation growth, and water one of the necessary factors for growth. Investigating mutual influence between NPP significant ensuring stable development ecological environment. This study focuses on Yangtze River Basin (YRB) as research area, based medium-resolution imaging spectrometer (MODIS) data, climate gravity recovery experiment (GRACE) spatiotemporal evolution characteristics terrestrial storage (TWS) in YRB from 2000 to 2022 are explored analyzes with TWS. The results show that (4.10 gC·m−2·a−1) TWS (0.55 mm) have exhibited increasing trend 2022, a strong correlation two, which related recent environmental policies. Analysis impact reveals temperature significantly positively changes. Furthermore, comparisons indicate changes substantially promote plant In addition, comparison indicates promoting effect Surface (SWS) soil (SM) but lag, while consumption groundwater (GWS) has been growth without lag.

Язык: Английский

Процитировано

1

Spatiotemporal variations in potential evapotranspiration in the Yellow River and Yangtze River Basins under changing environments: impacts on runoff and their causes DOI

Lu Jia,

Kunxia Yu,

Zhanbin Li

и другие.

Irrigation Science, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 18, 2024

Язык: Английский

Процитировано

1