Assessing the response lag and vulnerability of terrestrial vegetation to various compound climate events in mainland China under different vegetation types DOI Creative Commons
Tian Yao, Chuanhao Wu, Pat J.‐F. Yeh

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 11, 2024

Abstract In the context of climate warming, compound dry-hot (CDH), dry-cold (CDC), wet-hot (CWH), and wet-cold (CWC) events have become more frequent widespread in recent decades, causing severe but disproportionate impacts on terrestrial vegetation. However, understanding how vegetation vulnerability responds to these (CCEs) is still limited. Here, we developed a multivariate copula conditional probabilistic model integrating Standardized Precipitation Index (SPI), Temperature (STI), Normalized Difference Vegetation (NDVI) together quantify response each CDH, CDC, CWH CWC under diverse climates mainland China. Results show that CDC result largest probability loss relative other three CCEs, with NDVI below 40% percentile being 4.8%-13.0% (0.5%-2.6%) larger than individual dry (cold) events. contrast, leads lowest among all 5.6% ~ 6.9% (4.2% 5%) less wet (hot) The CCEs varies considerably ecosystems types. Loess Plateau northwestern Xinjiang (Inner Mongolia) highly susceptible (CDH) events, while northeastern southern China (eastern coastal southwestern regions) vulnerable (CWH) Shrubland, grassland cropland exhibit higher CDH deciduous (evergreen) forests are CWC(CWH) which may be related physiological characteristics, survival strategies, climatic adaptations. This study enhances our various types provides theoretical support for development measures mitigate hazards.

Language: Английский

Global patterns and drivers of post-fire vegetation productivity recovery DOI
Hongtao Xu, Hans W. Chen, Deliang Chen

et al.

Nature Geoscience, Journal Year: 2024, Volume and Issue: 17(9), P. 874 - 881

Published: Aug. 23, 2024

Language: Английский

Citations

12
Water constraints enhanced by revegetation while alleviated by increased precipitation on China’s water-dominated Loess Plateau DOI
Jialiang Zhou, Qiang Liu, Liqiao Liang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131731 - 131731

Published: July 31, 2024

Language: Английский

Citations

10
Asymmetric sensitivity of boreal forest resilience to forest gain and loss DOI
Xiaoye Liu, Dashan Wang, Anping Chen

et al.

Nature Ecology & Evolution, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Language: Английский

Citations

1
Stand age diversity (and more than climate change) affects forests’ resilience and stability, although unevenly DOI Creative Commons
Elia Vangi, Daniela Dalmonech, Elisa Cioccolo

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121822 - 121822

Published: July 16, 2024

Stand age significantly influences the functioning of forest ecosystems by shaping structural and physiological plant traits, affecting water carbon budgets. Forest distribution is determined interplay tree mortality regeneration, influenced both natural anthropogenic disturbances. Unfortunately, human-driven alteration presents an underexplored avenue for enhancing stability resilience. In our study, we investigated how impacts resilience budget under current future climate conditions. We employed a state-of-the-science biogeochemical, biophysical, validated process-based model on historically managed stands, projecting their as undisturbed systems, i.e., left at evolution with no management interventions (i.e., forests are to develop undisturbed). Such model, forced data from five Earth System Models four representative scenarios one baseline scenario disentangle effect change, spanned several classes European forests' context, each stand. Our findings indicate that Net Primary Production (NPP) peaks in young middle-aged (16- 50-year-old), aligning longstanding ecological theories, regardless scenario. Under beech exhibited increase NPP maintained across all classes, while remained constant rising atmospheric CO

Language: Английский

Citations

8
Warming and disturbances affect Arctic-boreal vegetation resilience across northwestern North America DOI
Yue Zhang, Jonathan Wang, Logan T. Berner

et al.

Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 8, 2024

Language: Английский

Citations

7
Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook DOI Creative Commons
Sebastian Bathiany, Robbin Bastiaansen, Ana Bastos

et al.

Surveys in Geophysics, Journal Year: 2024, Volume and Issue: unknown

Published: May 3, 2024

Abstract As the Earth system is exposed to large anthropogenic interferences, it becomes ever more important assess resilience of natural systems, i.e., their ability recover from and human-induced perturbations. Several, often related, measures have been proposed applied modeled observed data, by different scientific communities. Focusing on terrestrial ecosystems as a key component system, we review methods that can detect perturbations (temporary excursions reference state well abrupt shifts new state) in spatio-temporal datasets, estimate recovery rate after such perturbations, or changes indirectly stationary time series via indicators critical slowing down. We present here sequence ideal methodological steps field science, argue how obtain consistent multi-faceted view ecosystem climate observation (EO) data. While EO data offers unique potential study globally at high spatial temporal scale, emphasize some limitations, which are associated with theoretical assumptions behind diagnostic measurement process pre-processing The latter class limitations include gaps series, disparity scales, issues arising aggregating multiple sensors. Based this assessment, formulate specific recommendations community order improve observational basis for research.

Language: Английский

Citations

6
Uncertainties too large to predict tipping times of major Earth system components from historical data DOI Creative Commons
Maya Ben‐Yami, Andreas Morr, Sebastian Bathiany

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(31)

Published: Aug. 2, 2024

One way to warn of forthcoming critical transitions in Earth system components is using observations detect declining stability. It has also been suggested extrapolate such stability changes into the future and predict tipping times. Here, we argue that involved uncertainties are too high robustly We raise concerns regarding (i) modeling assumptions underlying any extrapolation historical results future, (ii) representativeness individual component time series, (iii) impact preprocessing used observational datasets, with focus on nonstationary coverage gap filling. explore these general specifically for example Atlantic Meridional Overturning Circulation. even under assumption a given an approaching point, large reliably estimate times by extrapolating information.

Language: Английский

Citations

5
Ecosystem resilience response to forest fragmentation in China: Thresholds identification DOI
Xinxin Fu,

Zhenhong Li,

Jiahao Ma

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125180 - 125180

Published: April 1, 2025

Language: Английский

Citations

0
Assessing the response lag and vulnerability of terrestrial vegetation to various compound climate events in mainland China under different vegetation types DOI
Tian Yao, Chuanhao Wu, Pat J.‐F. Yeh

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Language: Английский

Citations

0
Shifted vegetation resilience from loss to gain driven by changes in water availability and solar radiation over the last two decades in Southwest China DOI
Hui Chen, Jinxiu Liu, Wei He

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 368, P. 110543 - 110543

Published: April 14, 2025

Language: Английский

Citations

0