A5007344202- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Ecology and Vegetation Dynamics Studies
- Urban Heat Island Mitigation
- Plant Ecology and Soil Science
- Leaf Properties and Growth Measurement
- Recommender Systems and Techniques
- Topic Modeling
- Advanced Graph Neural Networks
- Forest, Soil, and Plant Ecology in China
- Plant and animal studies
Beijing Union University
2018-2024
Peking University
2015-2018
South Dakota State University
2018
Understanding vegetation responses to climate change on the Tibetan Plateau (TP) helps in elucidating land-atmosphere energy exchange, which affects air mass movement over and around TP. Although TP is one of world's most sensitive regions terms climatic warming, little known about how responds. Here, we focus spring phenology summertime greenness respond asymmetric that is, stronger warming during nighttime than daytime. Using both situ satellite observations, found green-up date showed a...
Rapid temperature increase and its impacts on alpine ecosystems in the Qinghai-Tibetan Plateau, world's highest largest plateau, are a matter of global concern. Satellite observations have revealed distinctly different trend changes contradicting responses vegetation green-up dates, leading to broad debate about Plateau's spring phenology climatic attribution. Large uncertainties remote-sensing estimates significantly limit efforts predict climate change growth carbon balance which further...
Abstract Phenology studies the cycle of events in nature that are initiated and driven by an annually recurring environment. Plant phenology is expected to be one most sensitive easily observable natural indicators climate change. On Tibetan Plateau (TP), accelerated warming since mid-1980s has resulted significant environmental changes. These new conditions accompanied phenological changes characterized considerable spatiotemporal heterogeneity. Satellite remote sensing observed widespread...
Abstract Climate warming on the Tibetan Plateau tends to induce an uphill shift of temperature isolines. Observations and process‐based models have both shown that climate has resulted in increase vegetation greenness recent decades. However, it is unclear whether isolines caused upward two shifts match each other. Our analysis satellite observed during growing season (May–Sep) gridded data for 2000–2016 documented a substantial mismatch between elevational This probably associated with...
Autumn phenology is a crucial indicator for identifying the alpine grassland growing season’s end date on Qinghai-Tibet Plateau (QTP), which intensely controls biogeochemical cycles in this ecosystem. Although autumn thought to be mainly influenced by preseason temperature, precipitation, and insolation grasslands, relative contributions of these climatic factors QTP remain uncertain. To quantify impacts phenology, we built stepwise linear regression models 91 meteorological stations using...
The aboveground biomass (AGB) is closely linked to the carbon cycle in grassland ecosystems worldwide. Accurately quantifying AGB variations thus essential for assessing sequestration and its feedback on climate change. Although many studies have investigated AGB, they are limited local areas few research efforts been attempted estimate at large scales with constraint of situ quadrat harvested AGB. In this study, we used multi-source satellite remote sensing data from 2000 2021 abundant...
Detecting spatial patterns of land surface phenology (LSP) with high and temporal resolutions is crucial for accurately estimating phenological response feedback to climate change biogeochemical cycles. Numerous studies have revealed LSP across the Qinghai–Tibet Plateau (QTP) using a variety coarse-resolution satellite data. However, detailed along changes mountain topography remain poorly understood, which greatly limits efforts predict impacts on vegetation growth ecosystem productivity in...
The phenology of alpine grassland on the Qinghai-Tibet Plateau (QTP) is critical to regional climate change through climate-vegetation feedback. Although many studies have examined QTP vegetation dynamics and their sensitivities, interspecific difference in response between species poorly understood. Here, we used a 30-year (1989-2018) record situ phenological observation for five typical herbs (Elymus nutans, Kobresia pygmaea, Plantago asiatica, Puccinellia tenuiflora, Scirpus...
Vegetation phenology dynamics have attracted worldwide attention due to its direct response global climate change and the great influence on terrestrial carbon budgets ecosystem productivity in past several decades. However, most studies focused investigation natural vegetation, only a few explored variation of cropland. In this study, taking typical cropland Shandong province China as target, we analyzed temporal pattern Normalized Difference Index (NDVI) metrics (growing season start (SOS)...
As a sensitive indicator for climate change, the spring phenology of alpine grassland on Qinghai–Tibet Plateau (QTP) has received extensive concern over past decade. It been demonstrated that temperature and precipitation/snowfall play an important role in driving green-up grassland. However, spatial differences snowfall driven mechanism onset are still not clear. This manuscript establishes set process-based models to investigate variables their differences. Specifically, using 500 m...