A5100404632- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Plant Water Relations and Carbon Dynamics
- Urban Green Space and Health
- Forest, Soil, and Plant Ecology in China
- Wildlife-Road Interactions and Conservation
- Fire effects on ecosystems
- Impact of Light on Environment and Health
- Forest Management and Policy
- Species Distribution and Climate Change
- Air Quality and Health Impacts
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Atmospheric and Environmental Gas Dynamics
- Plant Ecology and Soil Science
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Advanced Decision-Making Techniques
- Environmental Quality and Pollution
- Seedling growth and survival studies
- Regional Economic and Spatial Analysis
Beijing Forestry University
2008-2025
Southwest University
2024-2025
Yanbian University
2024
Scripps Institution of Oceanography
2024
University of California, San Diego
2024
Xi’an Jiaotong-Liverpool University
2023
Chinese Academy of Forestry
2023
Dalian University of Technology
2022
Yunnan University of Finance And Economics
2021
Zhengzhou University
2019
Exploring land use change is crucial to planning space scientifically in a region. Taking the ecological conservation area (ECA) western Beijing as study area, we employ ArcGIS 10.2, landscape pattern index and multiple mathematical statistics explore temporal spatial variation of from 2000 2020. Patch-generating Land Use Simulation (PLUS), Future (FLUS) Markov models were used simulate predict current The evaluated for accuracy, more accurate PLUS model was selected potential 2030 under two...
Land use is closely related to the sustainability of ecological development. This paper employed a patch-generating land simulation (PLUS) model for multi-scenario urban agglomerations. In addition, mathematical analysis methods such as Theil-Sen Median trend analysis, R/S Getis-Ord Gi* index and unary linear regression were used study temporal spatial evolution characteristics net primary productivity (NPP) impact changes on NPP in agglomerations from 2000 2020 forecast future NPP. The...
Vegetation changes and factors have a profound influence on the local ecology, economy, long-term durability of human construction. This study focuses impacts climate change activity vegetation Qinghai-Tibet Plateau aims to develop dataset levels plateau. Sen Mann-Kendall trend analysis was used evaluate spatial distribution NDVI its trends, as well lagged response plant growth climatic circumstances. Using geodetector model, effects meteorological anthropogenic intensity data were examined....
Timely and objective assessment of the optimal season for construction remote sensing ecological index (RSEI) is great significance accurate effective environment quality. We manipulated RSEI in to monitor seasonal variations quality (EEQ) Beijing-Tianjin-Hebei (JJJ) region from 2001 2020. First, we evaluated image across all four seasons filled missing observations through liner interpolation. Second, Seasonal was constructed using MODIS compared different years. Third, temporal spatial...
The COVID-19 lockdown led to reduced industrial and transportation emissions in Chinese cities, improving air quality affecting large-scale vegetation. This study examines changes net primary productivity (NPP) across 283 prefecture-level cities China (PCC) during the lockdown, focusing on aerosol optical depth (AOD), nighttime light (NTL), temperature, precipitation. Results from spring 2020 show that 53.5% of experienced increased NPP, with greater gains high traffic activity due AOD....
Over the last several decades, China has taken multiple measures for afforestation and natural forest protection, including setting goal of carbon neutrality by middle 21th century. In order to support practice relevant policies from scientific perspective, it is essential precisely estimate storage arbor forest, as plays an important role in cycle ecosystems. this study, we first used latest four phases national inventory data investigate variation both planted during covered period...
Abstract Background Karst vegetation is of great significance for ecological restoration in karst areas. Vegetation Indices (VIs) are mainly related to plant yield which helpful understand the status Recently, surveys have gradually shifted from field remote sensing-based methods. Coupled with machine learning methods, Unmanned Aerial Vehicle (UAV) multispectral sensing data can effectively improve detection accuracy and extract important spectrum features. Results In this study, UAV image...
Achieving equitable and harmonized socio-economic development is a vital gauge of national progress, particularly in geographically extensive nations such as China. This study, employing nighttime lights indicator remote sensing vegetation indices, investigates spatial variations wealth distribution across China’s eastern western regions, delineated by the Hu Huanyong Line. It uncovers balance between economic growth green space preservation discrepancies allocation. A thorough county-level...
Soil is indispensable for agricultural production but has been seriously polluted by cadmium and salt in recent years. Many crops are suffering from this, including rapeseed, the third largest global oilseed crop. However, genes simultaneously related to both stress have not extensively reported yet. In this study, BnaA10.WRKY75 was screened previous RNA-seq data further analyses sequence comparison, GUS staining, transformation qRT-PCR were conducted confirm its function. staining results...
As an important component of the urban ecosystem, street trees have made outstanding contribution to alleviating environmental pollution. Accurately extracting tree characteristics and species information can facilitate monitoring management trees, as well aiding landscaping studies ecology. In this study, we selected suburban areas Beijing Zhangjiakou investigated six representative using unmanned aerial vehicle (UAV) tilt photogrammetry. We extracted five attributes four combined attribute...
With the implementation of human activities, such as logging, reclamation, and construction, increasing fragmentation ecological space blockage biological migration corridors cause many threats to biodiversity conservation. In this study, we used Northwest Beijing Ecological Containment Area research area. Based on an integrated circuit theoretical model, identified functional connectivity networks analyzed spatial temporal changes patterns in region from 1998–2018 terms landscape...
The Tibetan Plateau (TP), known as the third pole, is highest plateau in world. It has numerous wetlands, which are important ecological security barriers and plays an role mitigating global climate change. This paper employed breaks for additive seasonal trend (BFAST) algorithm mutation detection of monthly normalized difference vegetation index (NDVI) wetlands. In addition, correlation analysis residual were used to study response change human activities NDVI alpine wetland TP during...
Abstract Forest age is one of the most important ecosystem characters for accurately estimating magnitude and potential carbon sink in forest ecosystems. During past 40 years, national ecological restoration projects have led to near doubling cover area China, which has also substantially affected dynamics age. Therefore, there an urgent need generate long‐term maps China. This study reconstructed China datasets (CFAD) from 1980 2015 at five year intervals a 1 km spatial resolution by...
<title>Abstract</title> African tropical forests have undergone extensive fragmentation, with an increasing proportion of previously intact now influenced by edge effects. It has become a pressing necessity to develop comprehensible index assess forest fragmentation and its interplay climate factors influencing ecosystem productivity (FEP). Using high-resolution cover maps, we developed Forest Fragmentation Gradient Index (FFGI), novel metric derived from two-dimensional framework...
The accuracy of urban runoff simulation using the Storm Water Management Model (SWMM) largely depends on parameter calibration. This study proposes a universal and effective method to enhance model by optimizing value ranges through an unsupervised intelligent clustering algorithm. Simulation scenarios with varying proportions pervious impervious areas are established, sensitivity analysis is conducted rank key parameters identify dominant generation patterns. results show that when area...