Pengbo Zhang
Biographic Data
| ID | 8843133 |
|---|---|
| NAME | Pengbo Zhang |
| GIVEN NAMES | Pengbo |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG P |
| AFFILIATIONS | Hunan University of Finance and Economics Changsha China |
| ORCID | 0000-0003-2320-2679 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Mapping Soil Heavy Metal Using an Interpretable Framework With Multi‐Sources Data
Predicting the spatial heterogeneity of soil heavy metals (HMs) and identifying the determinants and sources is fundamental to developing effective strategies to mitigate and prevent environmental contamination. This study established a comprehensive research framework of “spatial prediction ‐ driver factor analysis ‐ source contribution quantification”. By comparing and using different methods to draw the spatial distribution map of HMs and comb…
Spatio-temporal dynamics and drivers of cropland ecosystem services value during the past two decades in Yangtze river economic belt, China
Introduction: Cropland ecosystem is one of the fundamental natural resources for human survival and development, serving not only as the core carrier of food production but also as an important provider of ecological services. Clarifying the spatio-temporal variation of the cropland ecosystem service value (Crop-ESV) and understanding its main drivers are critical for maintaining and regulating cropland ecosystem functions. Methods: Thus, this st…
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Spatio-temporal dynamics and drivers of cropland ecosystem services value during the past two decades in Yangtze river economic belt, China
Introduction: Cropland ecosystem is one of the fundamental natural resources for human survival and development, serving not only as the core carrier of food production but also as an important provider of ecological services. Clarifying the spatio-temporal variation of the cropland ecosystem service value (Crop-ESV) and understanding its main drivers are critical for maintaining and regulating cropland ecosystem functions. Methods: Thus, this st…
Mapping Soil Heavy Metal Using an Interpretable Framework With Multi‐Sources Data
Predicting the spatial heterogeneity of soil heavy metals (HMs) and identifying the determinants and sources is fundamental to developing effective strategies to mitigate and prevent environmental contamination. This study established a comprehensive research framework of “spatial prediction ‐ driver factor analysis ‐ source contribution quantification”. By comparing and using different methods to draw the spatial distribution map of HMs and comb…
Agriculture (1 work) · Apportionment (1 work) · Biology (1 work) · Cartography (1 work) · China (1 work) · Crop (1 work) · Ecology (1 work) · Ecosystem (1 work) · Ecosystem services (1 work) · Environmental resource management (1 work)