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Accurately simulating stomatal behavior is crucial for understanding water, carbon, and energy fluxes between land and atmosphere. Given the significant impact of plastic film mulching on water and temperature, it is essential to incorporate water and temperature modifications into stomatal conductance models under these conditions. In this study, we evaluated three commonly used stomatal conducta
Over the years, the field of landslide disaster research has amassed a wealth of data and specialized knowledge. However, these resources originate from a wide array of sources and often feature complex data structures, highlighting a persistent lack of methods to integrate multi-source, heterogeneous data. Traditional landslide monitoring methods typically focus on singular monitoring targets and
Modeling of riverine dissolved organic carbon (DOC) dynamics is of great importance for the global carbon budget. Impoundment interception changes the travel time of water and DOC from upslope contributing areas, exerting substantial influence on riverine DOC dynamics in the catchments with many impoundments. However, the impact of impoundment interception representation on riverine DOC modeling h
Rapid urbanization can change local climate by increasing land surface temperature (LST), particularly in metropolitan regions. This study uses two decades of remote sensing data to investigate how urbanization-induced changes in land use/land cover (LULC) affect LST in the Beijing Region, China. By focusing on the key issue of LST and its contributing variables through buffer zones, we determined
Many studies have underscored the impacts of drought on ecosystems, and some researchers reported the effects of accumulated soil moisture deficit (ASMD) on light use efficiency (LUE) in grassland. However, the potential effects of ASMD on gross primary productivity (GPP) and LUE for both cropland and forest ecosystems are still not understood. This study elucidated the effects of accumulated and
Global warming has accelerated permafrost degradation, destabilizing soil organic carbon (SOC) in wetlands. Soil microorganisms play a crucial role in SOC decomposition. Despite increasing studies on soil microorganisms and their associated impacts on SOC decomposition in wetlands, few studies have simultaneously investigated the impacts of soil physical properties and nutrient stoichiometry on so
The millennial-scale hydroclimate variability in East Asia has been debated for a long time due to the lack of reliable precipitation records from southern China and inconsistent model simulations. Here, we reconstruct a 40-kyr rainfall record for southern China and Taiwan based on enviro-magnetic and clay mineral proxy parameters from a northern South China Sea marine sediment core. Both proxies
Multiple tipping points in the Earth system could be triggered when global warming exceeds specific thresholds. However, the degree of their impact on the East Asian hydroclimate remains uncertain due to the lack of quantitative rainfall records. Here we present an ensemble reconstruction of East Asian summer monsoon (EASM) rainfall since the Last Glacial Maximum (LGM) using nine statistical and m
High-Arctic environments are facing an elevated pace of warming and increasing human activities, making them more susceptible to the introduction and spread of alien species. We investigated the role of human disturbance in facilitating the spread of a native plant (Papaver dahlianum) in a high-Arctic natural environment close to Isfjord Radio station and along adjacent hiking trails at Kapp Linné
Study region: The Meichuan Basin, China Study focus: Soil water processes are critical in hydrological modeling, yet most studies focus on surface moisture due to data limitations, which hampers accurate simulations of root zone soil moisture dynamics. To address this gap, we developed three calibration schemes: M1 and M2, two benchmarks that rely solely on traditional streamflow data and incorpor
Recovery time, referring to the duration that an ecosystem needs to return to its pre-drought condition, is a fundamental indicator of ecological resilience. Recently, flash droughts – characterised by rapid onset and development – have gained increasing attention. Nevertheless, the spatiotemporal patterns in gross primary productivity (GPP) recovery time and the factors influencing it remain larg
In 2022, the Yangtze River Basin in China experienced an unprecedented extreme drought, induced by high temperatures and precipitation deficits. Accurate monitoring of such extreme drought events is vitally significant for disaster mitigation under global warming. This study evaluated the effectiveness of two satellite-based precipitation products: the latest Integrated Multi-satellitE Retrievals
Despite its significance for climate adaptation, the impact of non-native Spartina alterniflora on coastal blue carbon cycling remains unclear. While it is generally reported that S. alterniflora invasion increases the soil organic carbon (SOC) stock along China's coastlines from tropical to subtropical climate zones, some cases, such as the Jiuduansha wetland in the Yangtze River estuary, show a
Meeting the food demand of a growing global population with limited agricultural resources is one of the greatest challenges of the 21st century. Crop yield is highly sensitive to weather variability and climate extremes, which are becoming more frequent due to climate change. Accurate regional yield prediction is essential for helping farmers adapt, ensuring food security, and strengthening the r
In an era of climate change, as the intensity and frequency of droughts are expected to increase, effectiveclimate adaptation strategies become increasingly important for both natural ecosystems and society.Understanding vegetation's responses to drought and monitoring the impacts of drought on terrestrialecosystems are essential for developing reliable decision-support systems. This thesis aimed
Satellite remote sensing offers global-scale soil moisture (SM) estimation to assess water and energy cycles. However, the coarse resolution of SM products from microwave remote sensing is unsuitable for fine-scale analysis. This study explored spatial downscaling methods to refine the 0.25° ESA CCI SM product to a 1-km resolution, utilizing optical and thermal remote sensing data, including the n
Developing accurate large-scale drought prediction models is challenging due to the complex temporal and spatial correlation patterns that govern drought dynamics, as well as the compounding effects of anthropogenic activities and global climate change. Although recent advances in deep learning have yielded effective drought prediction models, many struggle to fully capture the heterogeneous spati
Climate change and land-use change represent a dual threat to terrestrial ecosystem functioning. In the tropics, forest conversion to agriculture is occurring alongside warming and more pronounced periods of drought. Rainfall after drought induces enormous dynamics in microbial growth (potential soil carbon storage) and respiration (determining carbon loss), affecting the ecosystem carbon budget.
Global change is altering forests worldwide, with multiple consequences for ecosystem functioning. Temporal changes in climate, and extreme, compounded weather events like hotter droughts are affecting the demography, composition and function of forests, leading to a highly uncertain future. To accurately predict future forest responses to hotter droughts, we highlight the need for considering a b
