Peidong Han
Biographic Data
| ID | 6274197 |
|---|---|
| NAME | Peidong Han |
| GIVEN NAMES | Peidong |
| FAMILY NAME | Han |
| SIGNATURE | HAN P |
| AFFILIATIONS | College of Grassland Agriculture, Northwest A and F University Yangling Shaanxi China |
| ORCID | 0009-0004-0718-0638 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating Machine Learning and Scenario Simulation to Decouple Multi‐Scale Ecosystem Service Trade‐Offs/Synergy in Shaanxi Province
The complex terrain and significant spatial heterogeneity of ecosystem services (ESs) in Shaanxi Province (SXP) make it crucial to analyze their multi‐scale trade‐offs/synergies and driving mechanisms for regional ecological management. This study integrates machine learning (SRF, SVM, etc.) with scenario simulation (PLUS‐ InVEST) to evaluate the spatiotemporal differentiation and interaction effects of water production (WY), carbon storage (CS),…
Mechanistic Drivers and Sustainability Implications of Ecosystem Service Interactions in the Yinshan Mountain Region
The Yinshan Mountain region features are complex and have a diverse topography, geomorphology, and climate types. Investigating the spatiotemporal variations, trade‐offs/synergies, and driving mechanisms of ecosystem services (ESs) in this area is critical for scientific ecosystem management and enhancing ecosystem service functionality. In this study, we used the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to quantita…
Quantifying the changes in soil moisture caused by vegetation greening and climate change across different drought gradient in China
No prominent works on this page.
Integrating Machine Learning and Scenario Simulation to Decouple Multi‐Scale Ecosystem Service Trade‐Offs/Synergy in Shaanxi Province
The complex terrain and significant spatial heterogeneity of ecosystem services (ESs) in Shaanxi Province (SXP) make it crucial to analyze their multi‐scale trade‐offs/synergies and driving mechanisms for regional ecological management. This study integrates machine learning (SRF, SVM, etc.) with scenario simulation (PLUS‐ InVEST) to evaluate the spatiotemporal differentiation and interaction effects of water production (WY), carbon storage (CS),…
Mechanistic Drivers and Sustainability Implications of Ecosystem Service Interactions in the Yinshan Mountain Region
The Yinshan Mountain region features are complex and have a diverse topography, geomorphology, and climate types. Investigating the spatiotemporal variations, trade‐offs/synergies, and driving mechanisms of ecosystem services (ESs) in this area is critical for scientific ecosystem management and enhancing ecosystem service functionality. In this study, we used the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to quantita…
Quantifying the changes in soil moisture caused by vegetation greening and climate change across different drought gradient in China
Ecosystem (3 works) · Climate change (2 works) · Ecosystem services (2 works) · Land Use and Ecosystem Services (2 works) · Remote Sensing in Agriculture (2 works) · Arid (1 works) · Aridity index (1 works) · Driving factors (1 works) · Ecosystem dynamics and resilience (1 works) · Evapotranspiration (1 works)