Institute of Geographic Sciences and Natural Resources Research

Single-scene thin-cloud correction for dynamic macroalgal blooms via water-referenced radiative transfer

Thin clouds substantially attenuate spectral signals in satellite imagery, leading to systematic underestimation of macroalgal bloom coverage. Existing thin-cloud correction methods have critical limitations for dynamically drifting blooms: they typically require paired cloudy-cl...

Tungsten in Agricultural Soil Triggers Coordinated Bioenergetic Responses and Gut Microbiome Dysbiosis in Earthworms: Implications for Agricultural Soil Health

Abstract Tungsten (W) can accumulate in agricultural soils near mining, smelting, industrial, and waste-disposal sites, yet its chronic effects on beneficial soil fauna remain poorly understood. Eisenia fetida were exposed for 28 d to soil W concentrations selected with reference...

Global disparities and structural imbalances in AI integration for urban climate resilience research

Artificial intelligence (AI) holds transformative potential to decode urban climate resilience (UCR) complexities, yet its unguided expansion risks amplifying systemic biases. Here, we leverage large language models to conduct a systematic analysis of around 12,500 UCR publicatio...

Cumulative Duration and Habitat Selection Across the Annual‐Cycle Stages: Links to Human Modification in Two Declining Shorebirds

ABSTRACT Although tracking studies have identified shorebird migration routes along the East Asian–Australasian Flyway, how cumulative duration and habitat selection vary across annual‐cycle stages and relate to human modification of habitats remains poorly understood. We integra...

Study on the Evolution and Driving Factors of Coastal Wetland Ecological Environment Quality Based on the Improved Ecological Index CWESI

To address ecological degradation in estuarine coastal wetlands caused by the combined pressures of land–sea interactions and anthropogenic activities, we developed an improved Coastal Wetland Ecological Status Index (CWESI). Using Landsat time-series observations from 1994 to 20...

Regulatory Mechanisms Underlying Flavonoid-Mediated Restructuring of the Rhizosphere Microbiome in Alfalfa (Medicago sativa L.) Under Salt Stress

This study employed two Medicago sativa L. varieties with contrasting salt tolerance—Zangmu No.1 (ZM1, salt-tolerant) and Zangmu No.2 (ZM2, salt-sensitive)—to investigate root exudate composition, rhizosphere microbiome assembly, and their potential correlations under 0 mM, 100 m...

Navigating the synergy between environmental efficiency and productivity in China's land operation scale expansion

Balancing productivity growth with emissions reduction is a central challenge for sustainable agriculture. Using over 390,000 household-year observations from 1993 to 2020, this study examines how land operation scale affects greenhouse gas emission intensity (GEI) and unit produ...

Seasonal attribution disentangles physiological and available water-energy effects on hydrological changes under climate and CO2 changes in subtropical plantation catchment

Abstract Precipitation (P) partitioning, a critical process for local water management, exhibits complex responses to climate change and elevated atmospheric CO 2 (eCO 2 ) through plant physiological and available water-energy effects, yet disentangling these effects at the seaso...

Assessment of the arable soil structure status on the Northern Slope of Tianshan Mountain

The Northern Slope of the Tianshan Mountains is an important grain-producing region in arid northwestern China, where soil quality is increasingly threatened by intensive agricultural use. However, a spatially explicit understanding of soil structural degradation and its driving...

Carbon sink was strengthening in Yunnan’s vegetation: findings from trained eddy flux data with gradient boosting machine

Yunnan Province, a key forest region in China, plays a crucial role in the nation’s terrestrial carbon sink. Understanding the spatiotemporal dynamics and driving mechanisms of vegetation carbon sinks in this topographically complex and ecologically diverse region is essential fo...

A physics-informed spatiotemporal downscaling model for kilometer-scale hourly humid heat stress indices

High-resolution humid heat stress indices, characterizing the interactive physiological effects of temperature and humidity, are vital for precision heat-health assessment and climate adaptation. However, existing coarse-resolution datasets smooth fine-scale spatial heterogeneity...

Emerging compound air-soil heatwaves amplify global vegetation losses

Abstract Compound air-soil heatwaves—periods in which extreme air and soil temperatures co-occur—pose a growing threat to terrestrial ecosystems, yet their occurrence and impacts remain poorly understood. Here, we show that compound air-soil heatwaves have become more frequent (0...

GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003–2023)

Current satellite-derived land surface temperature (LST) products represent a mixed radiative signal that integrates soil and vegetation contributions, obscuring the physical mechanisms controlling surface energy partitioning and ecosystem functioning. To overcome this limitation...

Leaf–Litter–Soil C:N:P Stoichiometry Varies with Stand Age in Three Subtropical Plantation Types

Stoichiometry provides an integrative framework for evaluating nutrient dynamics in plantation ecosystems. However, whether stand-age-related changes in leaf–litter–soil carbon (C), nitrogen (N), and phosphorus (P) stoichiometry are consistent among plantation types remains uncle...

Hydrochemistry and modeling nitrate concentration in farmland groundwater under different hydrological seasons by integrating hybrid quantum-classical ML, virtual sample generation and AlphaEarth Foundation

Abstract. Precise seasonal prediction of groundwater nitrate concentrations in intensive agricultural areas faces challenges such as data sparsity, strong spatiotemporal heterogeneity, and complex hydro-biogeochemical processes. To address these issues, this study proposes an int...

Mapping emotional patterns in linear recreational landscapes: Spatial structure, positive-negative co-occurrence patterns, and nonlinear drivers

As landscape planning shifts toward experience-oriented design, emotion mapping has become critical to understanding how spatial environments shape human perception. However existing approaches are largely grounded in site-based or area-based spatial units, limiting their ability...

The characteristic analysis and pattern classification of Beijing’s commercial districts based on multi-source geographical big data

Abstract Commercial districts, as key hubs for diverse commercial activities, play a crucial role in urban life. Yet in recent years, the vitality of commercial districts is declining. Although various strategies for revitalizing commercial districts have been proposed, it’s esse...

Machine Learning-Based Assessment of Land-Use Change, Forest Recovery, and Landscape Connectivity in Islamabad

LULCC is a major driver of habitat fragmentation, biodiversity loss, and declining landscape connectivity, particularly in rapidly urbanizing regions. Although Islamabad has experienced substantial urban expansion and forest-cover change, long-term city-scale assessments linking...

Spatio-Temporal Evolution and Driving Factors of Agricultural Non-Point Source Pollution in the Upper Yangtze River Economic Belt Incorporating Ecological Regulation Functions

Agricultural non-point source pollution (ANPSP) presents a critical threat to water security in the upper reaches of the Yangtze River Economic Belt (UYREB). Traditional export coefficient models (ECMs) often fail to capture the spatially heterogeneous processes of pollutant tran...

Increased maximum carbon release offsets half of the growth trend in annual land carbon sink

The terrestrial carbon sink has strengthened in recent decades through enhanced maximum CO2 uptake (MCU) and a longer carbon uptake period (CUP), whereas maximum CO2 release (MCR) remains less quantified. Using atmospheric inversion estimates and 16 terrestrial biosphere models,...