Response of Vegetation Dynamics in the Three-North Region of China to Climate and Human Activities from 1982 to 2018 DOI Open Access

Weijia Liang,

Quan Quan, Bohua Wu

и другие.

Sustainability, Год журнала: 2023, Номер 15(4), С. 3073 - 3073

Опубликована: Фев. 8, 2023

To tackle ecological problems, many restoration projects have been implemented in northern China. Identifying the drivers of vegetation change is critical for continued engineering. In this study, three typical reserves Three-North Shelter Forest Program Region (TNSFR) were selected to identify their development characteristics and driving mechanisms using normalized difference index (NDVI), climate factors, land use data. The results show that (1) NDVIs increased range human activities all reserves, indicating an obvious effect projects. (2) planting period, was mainly correlated with activities. After entering tending impact changes on dynamics enhanced. (3) Temperature precipitation provided approximate effects I, while Regions II III more strongly precipitation. (4) proportion areas measures exceeded 50% regions. short, dominated quantity restoration, influenced quality restoration.

Язык: Английский

Incorporating circuit theory, complex networks, and carbon offsets into the multi-objective optimization of ecological networks: A case study on karst regions in China DOI
Kexin Huang, Li Peng, Xiaohui Wang

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 383, С. 135512 - 135512

Опубликована: Дек. 7, 2022

Язык: Английский

Процитировано

74

Effectiveness and driving mechanism of ecological restoration efforts in China from 2009 to 2019 DOI
Yiqing Zhang, Xiang Zhao,

Jian Gong

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 910, С. 168676 - 168676

Опубликована: Ноя. 18, 2023

Язык: Английский

Процитировано

66

Quantifying the direct and indirect effects of terrain, climate and human activity on the spatial pattern of kNDVI-based vegetation growth: A case study from the Minjiang River Basin, Southeast China DOI Creative Commons

Zipeng Gu,

Xingwei Chen,

Weifang Ruan

и другие.

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102493 - 102493

Опубликована: Янв. 22, 2024

In the context of global change, it is vital to comprehensively understand spatial pattern and driving mechanism vegetation growth maintain stability watershed ecosystems. Previous research has focused mainly on identifying main drivers growth, while direct indirect effects climate, terrain, human activity have rarely been explored. This study used Minjiang River Basin (MRB), an important ecological barrier largest in southeastern China, as example. The kernel normalized difference index (kNDVI) was calculated Google Earth Engine (GEE) platform examine evolution characteristics growth. optimal parameter-based geographical detector (OPGD) partial least squares structural equation modeling (PLS-SEM) were analyze how influenced kNDVI. (1) From 2001 2020, MRB predominantly rated excellent or good, 88.93% area showed increasing trend (2) OPGD revealed that primary influencing distribution kNDVI included population density, nighttime light, elevation temperature, which explained >40% variation interaction all paired enhanced explanatory power kNDVI, among strongest between density elevation, second temperature. (3) PLS-SEM had a negative effect terrain climate positive Overall, total 0.594, 0.233 − 0.495, respectively, indicating outweighed MRB. These findings not only provide scientific evidence for conservation management but also offer useful reference other regions exploring complex causes patterns

Язык: Английский

Процитировано

31

Distinguishing Trajectories and Drivers of Vegetated Ecosystems in China's Loess Plateau DOI Creative Commons
Zhuangzhuang Wang, Bojie Fu, Xutong Wu

и другие.

Earth s Future, Год журнала: 2024, Номер 12(2)

Опубликована: Янв. 31, 2024

Abstract Terrestrial ecosystems can exhibit various behaviors in response to climate change and human activities. Nonlinear abrupt shifts are particularly important as they indicate substantial modifications ecosystem structure function, posing a threat the provision of services. Here we distinguish between linear, curvilinear, productivity from 2000 2020 China's Loess Plateau. We utilize spatial Random Forest models analyze driving factors behind these patterns. Our findings that 84.1% experienced positive plant productivity, while small proportion (2.5%) exhibited negative change. Abrupt prevalent both changes with often manifesting (79.3%). Negative shifts, primarily associated activities characterized by increased nighttime light urbanization. Land conversion forest is linked curvilinear trajectory nonlinear acceleration. Higher water availability wetter environment more likely promote productivity. Moderate warming trends contribute high changes. highlight importance accounting for diverse development targeted conservation restoration measures.

Язык: Английский

Процитировано

21

Vegetation Greening and Climate Warming Increased the Propagation Risk From Meteorological Drought to Soil Drought at Subseasonal Timescales DOI Creative Commons
Feng Ma, Xing Yuan

Geophysical Research Letters, Год журнала: 2024, Номер 51(4)

Опубликована: Фев. 20, 2024

Abstract Subseasonal droughts including flash have occurred frequently in recent years, which are accompanied by heatwaves or wildfires that raise a wide concern on environmental risk. However, the changing characteristics of subseasonal drought propagation, and possible climate drivers remain unknown. This study quantifies propagation from meteorological to soil using Copula‐based Bayesian framework, shows higher risks mainly occur more humid regions with denser vegetation cover. Trends risk vary regionally, global increase 2%/decade ( p < 0.01) during 1980–2022. Vegetation greening warming key over >71% vegetated lands, mean contribution rates 39.5% 36.5% respectively. Other climatic factors vapor pressure deficit precipitation also paly critical roles, closely correlate temperature vegetation. These findings highlight importance dynamics.

Язык: Английский

Процитировано

17

A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China DOI
Faisal Mumtaz, Jing Li, Qinhuo Liu

и другие.

Land Use Policy, Год журнала: 2025, Номер 151, С. 107494 - 107494

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

5

Reassessing the ecological effectiveness of ecological restoration programs: Evidence from a quasi-natural experiment in China DOI
Yuanjie Deng, Xiaohan Yan, Mengyang Hou

и другие.

Ecological Engineering, Год журнала: 2025, Номер 212, С. 107506 - 107506

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Grassland cover dynamics and their relationship with climatic factors in China from 1982 to 2021 DOI
Liang Liu,

Jianghua Zheng,

Jingyun Guan

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 905, С. 167067 - 167067

Опубликована: Сен. 17, 2023

Язык: Английский

Процитировано

31

Dynamic variations of terrestrial ecological drought and propagation analysis with meteorological drought across the mainland China DOI
Fei Wang,

Hexin Lai,

Yanbin Li

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 896, С. 165314 - 165314

Опубликована: Июль 6, 2023

Язык: Английский

Процитировано

29

Multi-objective ecological restoration priority in China: Cost-benefit optimization in different ecological performance regimes based on planetary boundaries DOI
Yifei Zhao, Shiliang Liu, Hua Liu

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 356, С. 120701 - 120701

Опубликована: Март 26, 2024

Язык: Английский

Процитировано

13