A5008391315- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Ecology and Vegetation Dynamics Studies
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Geology and Paleoclimatology Research
- Ecosystem dynamics and resilience
- Fish Ecology and Management Studies
- Coastal wetland ecosystem dynamics
- Environmental and Agricultural Sciences
- Land Use and Ecosystem Services
- Tree-ring climate responses
- Environmental Changes in China
- Peatlands and Wetlands Ecology
- Pleistocene-Era Hominins and Archaeology
- Plant responses to elevated CO2
- Forest, Soil, and Plant Ecology in China
- Animal Ecology and Behavior Studies
- Marine and coastal ecosystems
- Impact of Light on Environment and Health
- Isotope Analysis in Ecology
- Aquatic Ecosystems and Phytoplankton Dynamics
Tianjin University
2022-2025
Institute of Geographic Sciences and Natural Resources Research
2019-2025
Chinese Academy of Sciences
2019-2023
University of Chinese Academy of Sciences
2019-2021
Lanzhou University
2017
Drylands dominate the trend and variability of land carbon (C) sink. A better understanding implications climate-induced changes in drylands for C sink-source dynamics is urgently needed. The effect climate on ecosystem fluxes (gross primary productivity (GPP), respiration (ER), net (NEP)) has been extensively explored, but roles other concurrently changing factors, such as vegetation conditions nutrient availability, remain unclear. We used eddy-covariance C-flux measurements from 45...
Abstract Accurate estimation of regional and global patterns ecosystem respiration (ER) is crucial to improve the understanding terrestrial carbon cycles predictive ability budget. However, large uncertainties still exist in ER due drawbacks modeling methods. Based on eddy covariance data from 132 sites China 2002 2020, we established Intelligent Random Forest (IRF) models that integrated ecological with machine learning techniques estimate ER. The results showed IRF performed better than...
Abstract In the hinterland of deserts, it is difficult to reconstruct paleovegetation using fossil pollen because low concentration. Therefore, an efficient method needed desert regions. this study, 34 Holocene calcareous root tube (CRT) samples were collected from Alashan Desert in northwest China, and lipid molecular proxies CRTs selected address deficiency. The results show that n -alkanes mainly maximized at C 27 , 29 16 carbon preference index close 1. Thus, sources roots higher plants...
Precipitation-use efficiency (PUE) is an important ecosystem indicator of the carbon–water conversion. The trend and interannual variation precipitation-use response to climatic factors provide a theoretical foundation for understanding how Eurasian grasslands adapt climate change. However, long-term trends regulating PUE in at continental scale are still unclear. Here, we integrated Global Inventory Monitoring Modeling System (GIMMS) Normalized Difference Vegetation Index (NDVI), field...
The annual gross primary productivity (AGPP) is the basis of food production and carbon sequestration in terrestrial ecosystems. An accurate assessment regional AGPP can provide a theoretical for analyzing spatiotemporal variation ensuring security mitigating climate change trends. Based on Chinese Flux Observation Research Network (ChinaFLUX) measurements public datasets, we produced dataset over China’s ecosystems was constructed. In combination with biological, climatic, soil factors,...
Ecologically vulnerable areas (EVAs) are regions with ecosystems that fragile and to degradation under external disturbances, e.g., environmental changes human activities. A comprehensive understanding of the climate change characteristics EVAs in China is great guiding significance for ecological protection economic development. The ecosystem carbon use efficiency (CUEe) can be defined as ratio net productivity (NEP) gross primary (GPP), one most important indicators ecosystems,...
In the face of accelerated global dryland expansion and grassland degradation, signaling ecosystem state transitions is an ongoing challenge in ecology. However, there still a lack effective indicators understanding mechanisms at continental scale. Here, we propose framework that links function-based critical slowing down (CSD) theory to reveal transitions. Across precipitation gradients, quantified statistical characteristics spatial patterns ANPP PUE dynamics (variability, asymmetry,...
Abstract Increasing human activities and climate change have resulted in significant changes net primary production (NPP) of the marginal sea past several decades. The Bohai Sea (BHS) is a shallow semi‐enclosed North China, knowledge relative impacts on NPP BHS remains limited. This study primarily aimed to elucidate interannual variability its influencing factors during 2002–2021 period by synthesizing four widely‐used global models, namely vertically generalized model (VGPM), Eppley‐VGPM,...
Light response parameters are used to model the photosynthetic process of ecosystems, but they usually considered as fixed or empirical values for specific vegetation type and their geographical variation influence mechanisms at ecosystem scale remain unclear. In this study, we analyzed light (photosynthetic quantum yields, α; maximum gross rate, Amax) 64 typical ecosystems ChinaFLUX over 20 years’ measurement, explore spatial patterns, controlling factors, regulation on GPP. The results...
In the face of accelerated global dryland expansion and grassland degradation, signaling ecosystem state transitions are ongoing challenges in ecology. However, there is yet lack effective indicators mechanisms understanding for at continental-scale. Here, we proposed a framework that links function-based critical slowing down (CSD) theory to reveal transitions. Across precipitation gradient, quantified statistical characteristics spatial patterns ANPP PUE dynamics (variability, asymmetry,...