Unraveling the nonlinear relationships between blue-green spatial patterns and carbon sequestration through an interpretable XGBoost-SHAP model
- DOI
- 10.1007/s10661-026-16091-6
- Published
- 2026-11-02
- Container
- Environmental Monitoring and Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-16091-6,
title = {Unraveling the nonlinear relationships between blue-green spatial patterns and carbon sequestration through an interpretable XGBoost-SHAP model},
author = {Xianjin Zhang and Bo Nan and Qingxin Zhang and Na Yao and Hongjie Wang},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-16091-6},
url = {https://doi.org/10.1007/s10661-026-16091-6}
}RIS
TY - JOUR TI - Unraveling the nonlinear relationships between blue-green spatial patterns and carbon sequestration through an interpretable XGBoost-SHAP model AU - Xianjin Zhang AU - Bo Nan AU - Qingxin Zhang AU - Na Yao AU - Hongjie Wang PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-16091-6 UR - https://doi.org/10.1007/s10661-026-16091-6 ER -
APA
Zhang, X., Nan, B., Zhang, Q., Yao, N., & Wang, H. (2026). Unraveling the nonlinear relationships between blue-green spatial patterns and carbon sequestration through an interpretable XGBoost-SHAP model. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-16091-6
Source records
- crossref · retrieved 2026-11-04T12:06:44.802Z