Ecological restoration enhances dryland carbon stock by reducing surface soil carbon loss due to wind erosion DOI Creative Commons
Jian Song, Shiqiang Wan, Kesheng Zhang

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(46)

Published: Nov. 8, 2024

Enhancing terrestrial carbon (C) stock through ecological restoration, one of the prominent approaches for natural climate solutions, is conventionally considered to be achieved an pathway, i.e., increased plant C uptake. By conducting a comprehensive regional survey 4279 1 × m 2 plots at 517 sites across China’s drylands and 13-y manipulative experiment in semiarid grassland within same region, we show that greater soil ecosystem stocks restored than degraded lands result predominantly from decreased surface loss via suppressed wind erosion. This biophysical pathway always overlooked model evaluation land-based mitigation strategies. Surprisingly, stimulated growth plays minor role regulating under restoration. In addition, overall enhancement increases with both initial degradation intensity restoration duration. At national scale, rate accumulation (7.87 Tg y −1 ) due reduced erosion dryland equal 38.8% afforestation 56.2% forest protection China. Incorporating this unique but largely missed C-conserving mechanism into land models will greatly improve global assessments potential mitigating change.

Language: Английский

Vegetation structural shift tells environmental changes on the Tibetan Plateau over 40 years DOI Creative Commons
Yanfen Wang, Kai Xue, Ronghai Hu

et al.

Science Bulletin, Journal Year: 2023, Volume and Issue: 68(17), P. 1928 - 1937

Published: July 25, 2023

Structural information of grassland changes on the Tibetan Plateau is essential for understanding alterations in critical ecosystem functioning and their underlying drivers that may reflect environmental changes. However, such at regional scale still lacking due to methodological limitations. Beyond remote sensing indicators only recognizing vegetation productivity, we utilized multivariate data fusion deep learning characterize formation-based plant community structure alpine grasslands first time compared it with earlier version Vegetation Map China historical Over past 40 years, revealed (1) proportion meadows increased from 50% 69%, well-reflecting warming wetting trend; (2) dominances Kobresia pygmaea Stipa purpurea formations steppes were strengthened 76% 92%, respectively; (3) climate factor mainly drove distribution formation, but not recent formation was likely shaped by human activities. Therefore, mechanisms over years considered be dependent. Overall, exploration structural this study provides a new perspective understand spatial heterogeneity Plateau, also innovates large-scale paradigm.

Language: Английский

Citations

27

Drought offsets the vegetation greenness-induced gross primary productivity from 1982 to 2018 in China DOI
Liang Zheng, Jianzhong Lu,

Xiaoling Chen

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 632, P. 130881 - 130881

Published: Feb. 16, 2024

Language: Английский

Citations

11

Integrating ecosystem water demands into drought monitoring and assessment under climate change DOI Open Access
Jiangpeng Cui, Anping Chen, Chris Huntingford

et al.

Nature Water, Journal Year: 2024, Volume and Issue: 2(3), P. 215 - 218

Published: March 21, 2024

Language: Английский

Citations

10

Combating land degradation through human efforts: Ongoing challenges for sustainable development of global drylands DOI
Ziyu Yan,

Ye Guo,

Bin Sun

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 354, P. 120254 - 120254

Published: Feb. 9, 2024

Language: Английский

Citations

8

Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China DOI Creative Commons

Chenglong Xu,

Xiang Chen, Qiang Yu

et al.

GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)

Published: Feb. 18, 2024

Vegetation, as a crucial carbon sink, is facing extensive degradation under the mounting pressures of urbanization and excessive resource exploitation, exacerbating imbalance between sources sinks. In response, ecological spatial network has emerged comprehensive conservation strategy to establish maintain connectivity interactions among diverse ecosystems, ensuring continuous provision services preservation biodiversity. A pivotal indicator in this context vegetation use efficiency (CUE), which elucidates relationship CO2 assimilation through photosynthesis biomass growth. study, utilizing remote sensing data, Yellow River Basin (YRB) was selected case study analyze CUE Carnegie Ames Stanford Approach (CASA) Light Use Efficiency-Normalized Difference Water Index (LUE-NDWI) models. Furthermore, Morphological Spatial Pattern Analysis (MSPA) method Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model were employed delineate for woodlands, shrublands, grasslands, while Minimum Cumulative Resistance (MCR) used identify corridors, forming an within YRB. Subsequently, interrelationship topological metrics analyzed, optimization strategies proposed based on significance structure function. The findings revealed that: (1) Vegetation exhibited spatially decreasing trend from western eastern regions, with patterns correlated types, temperature, precipitation distribution; (2) demonstrated denser configuration upper middle reaches sparser shorter pattern lower reaches, seamless all regions; (3) Significant correlations observed CUE, prompting adoption construction protection measures when functional importance deficient, enhancing augmentation corridors structural lacking. implementation these expected bolster functions network, facilitate cycling, exert positive far-reaching impact sustainable development environment

Language: Английский

Citations

8

Locating Hydrologically Unsustainable Areas for Supporting Ecological Restoration in China's Drylands DOI Creative Commons
Fengyu Fu, Shuai Wang, Xutong Wu

et al.

Earth s Future, Journal Year: 2024, Volume and Issue: 12(3)

Published: March 1, 2024

Abstract China has undertaken extensive ecological restoration (ER) projects since the late 1970s in drylands, dominating greening of drylands. The greening, especially ER‐induced, can affect regional water availability and even cause hydrological unsustainability (i.e., lead to a negative shift ecosystem supply demand balances). However, there is still limited research on accurately identifying hydrologically unsustainable areas (GA) China's Here, we developed an supply‐demand indicator, namely, self‐sufficiency (WSS), defined as ratio precipitation. Using remote sensing multisource synthesis data sets combined with trend analysis time series detection, conducted spatially explicit assessment sustainability risk drylands context ER over period 1987–2015. results showed that 17.15% (6.36 × 10 4 km 2 ) GA faced WSS (indicating unsustainability), mainly Inner Mongolia, Shanxi, Xinjiang provinces, driven by evapotranspiration. Moreover, 29.34% (1.09 5 GA, whose area roughly double exhibited potential shortage significant decline (−0.014 yr −1 ), concentrated Shaanxi, Gansu provinces. reliability our findings was demonstrated through previous studies at local scale soil moisture changes. Our offer precise grid‐scale identification providing more specific spatial guidance for implementation adaptation

Language: Английский

Citations

8

Soil moisture dominates gross primary productivity variation during severe droughts in Central Asia DOI Creative Commons
Yu Tao,

Guli Jiapaer,

Anming Bao

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103076 - 103076

Published: Feb. 1, 2025

Language: Английский

Citations

1

Grassland productivity in arid Central Asia depends on the greening rate rather than the growing season length DOI
Jianhao Li,

Wanqiang Han,

Jianghua Zheng

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 933, P. 173155 - 173155

Published: May 11, 2024

Language: Английский

Citations

7

The relationship between structure and ecosystem services of forest and grassland based on pattern analysis method: A case study of the Mongolian Plateau DOI
Jikai Zhao, Qiang Yu,

Buyanbaatar Avirmed

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174700 - 174700

Published: Oct. 1, 2024

Language: Английский

Citations

6

Increasing influence of minimum temperature on grassland spring phenology in arid Central Asia DOI
Jianhao Li, Liang Liu,

Jianghua Zheng

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 355, P. 110122 - 110122

Published: June 14, 2024

Language: Английский

Citations

5