Hydrological regime mediates stoichiometry regime and source-sink alternation in shallow lakes.

Shallow lakes are increasingly subjected to pronounced alterations in hydrological regimes and exacerbated nutrient stoichiometric imbalances due to climate change and anthropogenic factors. Understanding the interactions between watershed eco-hydrological processes and lake systems, particularly their impact on nutrient balance dynamics deserves further investigation. Employing seasonal-trend decomposition (STL), Copula modeling, and the Lindeman-Merenda-Gold (LMG) algorithm, this study systematically analyzed eco-hydrological processes in Poyang Lake basin and identified hydrological regime as the key factor governing lake nutrient balance.

High-resolution global distribution projections of 10 rodent genera under diverse SSP-RCP scenarios, 2021-2100.

Understanding the potential impact of climate change on species distributions is crucial for biodiversity conservation and ecosystem management. Rodents, as one of the most diverse and widespread mammalian groups, play a critical role in ecological systems but also pose significant risks to agriculture systems and public health. Here, we present GridScopeRodents, a high-resolution global dataset projecting the distribution of 10 rodent genera from 2021 to 2100 under four CMIP6-based Shared Socioeconomic Pathway-Representative Concentration Pathway (SSP-RCP) scenario combinations.

Analysis of 20 years of monitoring data reveals insufficient carbon sequestration potential of planted forests in dryland regions.

Ecological restoration has been widely regarded as an essential strategy to enhance carbon sequestration in ecologically fragile areas. However, the long-term sustainability and dynamics of carbon sequestration induced by afforestation remain uncertain, particularly in dryland river basins. Clarifying long-term carbon sequestration trends and understanding the impact of planted forests on these trends are crucial for ecological management and achieving carbon neutrality targets.

Impact of residential density on heavy metal mobilization in urban soils: Human activity patterns and eco-health risks in the Beijing-Tianjin-Hebei region.

Urban residential density intensification poses increasing threats to soil quality, with heavy metal pollution becoming a critical challenge for ecosystem stability and public health. This study explored the speciation characteristics and bioavailability of soil metals across residential density gradients in the Beijing-Tianjin-Hebei megacity cluster, integrating Point of Interest (POI) data with geochemical analyses. Results showed that higher residential density significantly increased total soil metal loads (p < 0.

Vegetation extraction through UAV RGB imagery and efficient feature selection.

Accurate identification of vegetation in mining areas is crucial for conducting pre-mining ecological assessments and post-mining ecological monitoring. However, the vegetation in the mining area is always highly heterogeneous including both field crops and naturally scattered growing vegetation, which brings great challenges for fine vegetation mapping. Feature combinations are an important factor to influence the vegetation mapping.

Impacts of extreme drought events at each phenophase on the Aboveground net primary productivity and its photosynthetic physiological regulatory process of sandy semi-shrubs.

Climate change has intensified the frequency of extreme drought events in desert ecosystems, accompanied by uneven distribution of annual precipitation. Whether extreme drought events at each phenophase have equivalent impacts on desert plants is an unverified topic, yet it is crucial for understanding the mechanisms of vegetation adaptation to changes in precipitation. This study focuses on the typical desert plant Artemisia ordosica and employs in situ precipitation control experiments using rain shelters to simulate extreme drought events (30 consecutive days of precipitation removal) at three phenophases: the sprouting stage, vegetative growth stage, and flowering and fruiting stage.

Vegetation restoration effectiveness with main factors in the Beijing-Tianjin sandstorm source region during 2000-2020, China.

The Beijing-Tianjin Sandstorm Source Region (BTSSR), a region with significant vegetation degradation in China, has been subjected to ecological engineering intended to curb vegetation browning. Nevertheless, few studies have used multisource data to quantitatively evaluate the vegetation restoration effectiveness in the BTSSR, and the relationship between ecological engineering and vegetation restoration effectiveness in this region from statistical evidence has received little attention so far. Here, we employed the comprehensive vegetation parameters to describe the vegetation restoration effectiveness, and examined the driving mechanism of natural and human factors in different sub regions.

30 m 5-yearly land cover maps of Qilian Mountain Area (QMA_LC30) from 1990 to 2020.

The Qilian Mountain Area (QMA) serves as a crucial ecological barrier and strategic water conservation zone in China. Recent years have seen heightened social attention to environmental issues within the QMA, underscoring the need for accurate and continuous land cover maps to support ecological monitoring, analysis, and forecasting. This paper presents the QMA_LC30 dataset, which includes 9 land cover categories and spans the period from 1990 to 2020, with updates every 5 years.

Snowy Dove: An open-sourcetoolkit for pre- processing of Chinese Gaofen series data.

Since the launch of the Chinese High-resolution Earth Observation System (CHEOS) program, China has strengthened its research and development in the field of satellite remote sensing. A large number of sensors has been or will be launched, providing very large data streams which all require processing of the engineering data, as provided by the instruments, to physical data which will be used for further processing and interpretation. To handle such large data streams we developed a one-click batch pre-processing toolkit for CHEOS remote sensing data as described in this paper.

[Application and prospects of hyperspectral remote sensing in monitoring plant diversity in grassland].

The biodiversity of grasslands is important for ecosystem function and health. The protection and mana-gement of grassland biodiversity requires the collection of the information on plant diversity. Hyperspectral remote sensing, with its unique advantages of extensive coverage and high spectral resolution, offers a new solution for long-term monitoring of plant diversity.

[Temporal variability of the isotope compositions of plum rain in Nanjing from event to interannual time scales].

Precipitation in the plum rain period accounts for 40%-50% of annual precipitation in the monsoon region. To clarify the temporal variability of the isotopic composition of precipitation during the plum rain period from event to interannual time scale and identify the influencing factors, we analyzed the isotopic composition of precipitation and its influencing factors in Nanjing from 2015 to 2022. By using the Hybrid Single-particle Lagran-gian Integrated Trajectory (HYSPLIT) model with specific humidity analysis, we investigated the water vapor source and influencing factors.

Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction.

Diagnostic features in near-infrared reflectance spectroscopy (NIRS) are the foundation of knowledge-based approach of petroleum hydrocarbon determination. However, a significant challenge arises when analyzing samples with low levels of petroleum hydrocarbon pollution, as they often lack distinctive diagnostic features in their sample NIRS spectra, limiting the effectiveness of this approach. To address this issue, we have developed a technical workflow for diagnostic spectrum construction and parameterization based on spectral subtraction.

Assessing grassland cultural ecosystem services supply and demand for promoting the sustainable realization of grassland cultural values.

Grasslands deliver essential provisioning and regulatory ecosystem services, concomitantly with indispensable cultural services that merit profound consideration. However, grassland cultural ecosystem services (GCES) face a conspicuous knowledge lacuna due to the lack of a unified research framework and quantitative methodology. This study endeavors to fill this gap by quantifying the potential supply and actual demand of GCES, concurrently scrutinizing spatial congruencies and disparities between GCES supply and demand in Inner Mongolia Autonomous Region (IMAR), China.

Investigating the long-term response of plateau vegetation productivity to extreme climate: insights from a case study in Qinghai Province, China.

Over the past three decades, there has been a significant global climate change characterized by an increase in the intensity and frequency of extreme climate events. The vegetation status in Qinghai Province has undergone substantial changes, which are more pronounced than other regions in the Qinghai-Tibet Plateau. However, a clear understanding of the response characteristics of plateau vegetation to extreme climate events is currently lacking.

Combined influence of ENSO and North Atlantic Oscillation (NAO) on Eurasian Steppe during 1982-2018.

As the most influential atmospheric oscillation on Earth, the El Niño/Southern Oscillation (ENSO) can significantly change the surface climate of the tropics and subtropics and affect the high latitudes of northern hemisphere areas through atmospheric teleconnection. The North Atlantic Oscillation (NAO) is the dominant pattern of low-frequency variability in the Northern Hemisphere. As the dominant oscillations in the Northern Hemisphere, the ENSO and NAO have been affecting the giant grassland belt in the world, the Eurasian Steppe (EAS), in recent decades.

Impacts of TROPOMI-Derived NO Emissions on NO and O Simulations in the NCP during COVID-19.

NO and O simulations have great uncertainties during the COVID-19 epidemic, but their biases and spatial distributions can be improved with NO assimilations. This study adopted two top-down NO inversions and estimated their impacts on NO and O simulation for three periods: the normal operation period (P1), the epidemic lockdown period following the Spring Festival (P2), and back to work period (P3) in the North China Plain (NCP). Two TROPOspheric Monitoring Instrument (TROPOMI) NO retrievals came from the Royal Netherlands Meteorological Institute (KNMI) and the University of Science and Technology of China (USTC), respectively.

Heavy Metal Pollution Characteristics and Source Analysis in the Dust Fall on Buildings of Different Heights.

High-rise buildings block airflow, and dust accumulates on their upper surfaces. In this study, dust fall on the rooftops of low-, medium-, and high-rise buildings was sampled and analyzed to assess the degree of atmospheric heavy metal pollution. The Cr, Mn, Ni, Cu, Zn, As, Cd, and Pb mass fractions in dust samples were analyzed by microwave digestion/inductively coupled plasma-mass spectrometry.

Changes in temporal pattern and spatial distribution of environmental pollutants in 8 Asian countries owing to COVID-19 pandemic.

This study investigated the changes in air pollutant's concentration, spatio-temporal distribution and sensitivity of changes in air pollutant's concentration during pre and post COVID-19 outbreak. We employed Google Earth Engine Platform to access remote sensing datasets of air pollutants across Asian continent. Air pollution and cumulative confirmed-COVID cases data of Asian countries (Afghanistan, Bangladesh, China, India, Iran, Iraq, Pakistan, and Saudi Arabia) have been collected and analyzed for 2019 and 2020.

Deep Learning Approach for Detection of Underground Natural Gas Micro-Leakage Using Infrared Thermal Images.

The leakage of underground natural gas has a negative impact on the environment and safety. Trace amounts of gas leak concentration cannot reach the threshold for direct detection. The low concentration of natural gas can cause changes in surface vegetation, so remote sensing can be used to detect micro-leakage indirectly.

Coupling with high-resolution remote sensing data to evaluate urban non-point source pollution in Tongzhou, China.

Urban non-point source (NPS) pollution has gradually become one of the important factors affecting the urban water environment. The quantitative evaluation of urban NPS pollution is the priority to identify key control area of urban NPS pollution. Current model applied in China is mainly focused on small-scale area, large-scale spatial continuous simulation is lacking.

Performance of hyperspectral data in predicting and mapping zinc concentration in soil.

Reflectance spectroscopy in visible, near-infrared, and short-wave infrared (VNIR-SWIR) region has been recognized as a promising alternative for prediction of heavy metal concentration in soil. Compared with VNIR-SWIR reflectance spectroscopy, VNIR reflectance spectroscopy is less affected by atmospheric water vapor and has relatively high signal to noise ratio. The performances of VNIR and VNIR-SWIR hyperspectral data in predicting and mapping heavy metal concentration in soil were explored.

[Relationships among different types of ecosystem service in Southwest China].

Understanding the relationships among different ecosystem services is the basis for optimizing ecological protection strategy and achieving sustainable ecological management. Based on the ecosystem services and their spatial patterns in Southwest China, we analyzed tradeoffs and synergies of five ecosystem regulation services (water retention, soil retention, carbon sequestration, biodiversity conservation, and water purification) and five provision services (rice production, wheat production, corn production, vegetable production, and fruit production) using statistical analysis, ArcGIS technology and GeoDa software. Further, we identified the win-win areas of ecosystem servi-ces through overlay analysis, and discussing the influence of ecosystem types on win-win pattern.