A5073222831- Agriculture, Soil, Plant Science
- Plant Water Relations and Carbon Dynamics
- Ecology and Vegetation Dynamics Studies
- Climate change impacts on agriculture
- Hydrology and Watershed Management Studies
- Plant responses to elevated CO2
- Crop Yield and Soil Fertility
- Climate variability and models
- Soil and Water Nutrient Dynamics
- Agricultural risk and resilience
- Tree-ring climate responses
- Land Use and Ecosystem Services
- Climate Change, Adaptation, Migration
- Environmental and Agricultural Sciences
- Agriculture Sustainability and Environmental Impact
- Remote Sensing and Land Use
- Water resources management and optimization
- Horticultural and Viticultural Research
- Marine and coastal ecosystems
- Forest, Soil, and Plant Ecology in China
Tsinghua University
2019-2024
Hainan University
2023-2024
The life span of leaves increases with their mass per unit area (LMA). It is unclear why. Here, we show that this empirical generalization (the foundation the worldwide leaf economics spectrum) a consequence natural selection, maximizing average net carbon gain over cycle. Analyzing two large trait datasets, evergreen and deciduous species diverse construction costs (assumed proportional to LMA) are selected by light, temperature, growing-season length in different, but predictable, ways. We...
Abstract Tibetan Plateau (TP) has experienced a slowdown of the vegetation greening since late 1990s. This structural change (i.e., greening) along with canopy physiology potential photosynthetic productivity) regulates gross primary productivity (GPP). However, it remains unclear how joint regulation influences trend alpine GPP under climate change. Here, we validate universal model against flux‐based and satellite‐derived observations at TP diagnose long‐term climatic impacts on via...
Recent increases in vegetation greenness over much of the world reflect increasing CO2 globally and warming cold areas. However, strength response to both those areas appears be declining for unclear reasons, contributing large uncertainties predicting how will respond future global changes. Here, we investigated changes satellite-observed peak season absorbed photosynthetically active radiation (Fmax ) on Tibetan Plateau between 1982 2016. Although climate trends are similar across Plateau,...
Plant functional traits represent adaptive strategies to the environment, linked biophysical and biogeochemical processes ecosystem functioning. Compilations of trait data facilitate research in multiple fields from plant ecology through land-surface modelling. Here we present version 2 China Trait Database, which contains information on morphometric, physical, chemical, photosynthetic hydraulic 1529 unique species 140 sites spanning a diversity vegetation types. Version has five...
Sowing dates are currently an essential input for crop models. However, in the future, optimal sowing time will be affected by climate changes and human adaptations to these changes. A better understanding of what determines choice wheat type is required able predict future yields reliably. This study was conducted understand how conditions affect types globally. We develop a model integrating optimality concepts simulating gross primary production (GPP) with constraints on phenology dates....
SUMMARY The worldwide leaf economics spectrum relates lifespan (LL) to dry mass per unit area (LMA) 1 . By combining three well-supported principles 2-4 , we show that an isometric relationship between these two quantities maximizes the leaf’s net carbon gain. This theory predicts a of equally competent LMA-LL combinations in any given environment, and how their optimal ratio varies across environments. analysing large, independent leaf-trait datasets for woody species 1,5 provide...
Abstract Evaluation of potential crop yields is important for global food security assessment because it represents the biophysical ‘ceiling’ determined by variety, climate and ambient CO 2 . Statistical approaches have limitations when assessing future yields, while large differences between results obtained using process-based models reflect uncertainties in model parameterisations. Here we simulate yield wheat across present-day wheat-growing areas, a new that couples parameter-sparse,...
Accurately predicting the wheat potential yield (PY) is crucial for enhancing agricultural management and improving resilience to climate change. However, most existing crop models PY rely on type-specific parameters that describe traits, which often require calibration and, in turn, reduce prediction confidence when applied across different spatial or temporal scales. In this study, we integrated eco-evolutionary optimality (EEO) principles with a universal productivity model, Pmodel,...
Abstract Recent increases in vegetation cover, observed over much of the world, reflect increasing CO2 globally and warming cold areas. However, strength response to both appears be declining. Here we examine changes cover on Tibetan Plateau past 35 years. Although climate trends are similar across Plateau, drier regions have become greener by 0.31±0.14% yr−1 while wetter browner 0.12±0.08% yr–1. This divergent is predicted a universal model primary production accounting for optimal carbon...
<p>Recent increases in vegetation cover, observed over much of the world, reflect increasing CO<sub>2</sub> globally and warming cold areas. However, strength response to both appears be declining. Here we examine changes cover on Tibetan Plateau past 35 years. Although climate trends are similar across Plateau, drier regions have become greener by 0.31±0.14% yr<sup>−1</sup> while wetter browner...
<p>Wheat sowing dates are currently used as an input for crop models that simulated wheat production. However, the optimal time planting will be affected by climate changes and human adaptations to these changes. In this paper, we present optimality-based modelling approach, with additional constraints from low temperature precipitation intensity, estimate globally. This approach assumes could sown at any when conditions suitable, but date would adopted farmers which maximises...