云贵高原地区生态系统健康时空分布及其驱动因素影响

doi:10.13474/j.cnki.11-2246.2024.0807

测绘通报 ›› 2024, Vol. 0 ›› Issue (8): 37-41.doi: 10.13474/j.cnki.11-2246.2024.0807

• 学术研究 • 上一篇

云贵高原地区生态系统健康时空分布及其驱动因素影响

张学鹏^1,2, 曾铖³, 勾鹏¹, 黄莹双¹

1. 南湖实验室大数据技术研究中心, 浙江嘉兴 314000;
2. 河海大学地球科学与工程学院, 江苏南京 211100;
3. 上海交通大学计算机科学与工程学院, 上海 200000

收稿日期:2023-11-27 发布日期:2024-09-03
作者简介:张学鹏(1995—),男,博士,研究方向为基于多源遥感数据的生态服务价值评估、多云条件下遥感影像去云处理。E-mail:996588861@qq.com
基金资助:
国家自然科学基金(42230610)

The spatio-temporal distribution of ecosystem health and its driving factors in the Yunnan-Guizhou Plateau region

ZHANG Xuepeng^1,2, ZENG Cheng³, GOU Peng¹, HUANG Yingshuang¹

1. Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing 314000, China;
2. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China;
3. Computer Science and Technology Department, Shanghai Jiao Tong University, Shanghai 200000, China

Received:2023-11-27 Published:2024-09-03

摘要/Abstract

摘要： 针对云贵高原地区生态系统健康(EH)的时空分布及其驱动因素问题,本文首先建立了“活力-组织力-恢复力-服务力”的EH评估模型,分析2000—2020年EH时空分布,然后利用XGBoost模型和SHAP解释模型分析各驱动因子与EH间的具体函数关系。结果表明:①2000—2020年,云贵高原地区的EH西部区域较东部区域较好,弱健康县集中在东北地区;②弱健康和较弱健康县由2000年的40%降低至2020年的24%,总体呈现全域改善的趋势;③城市化水平、降水与EH间存在递减的三次函数关系,温度、归一化植被指数与EH间存在递增的三次函数关系,高程与EH间为波动的四次函数关系。本文旨在为区域EH监测提供新方案,为云贵地区生态保护与恢复提供参考。

关键词: 生态系统健康, 时空分布, 驱动因素, XGBoost模型, SHAP模型

Abstract: To solve the problem of the spatio-temporal distribution of ecosystem health (EH)and the influence of its driving factors in the Yunnan-Guizhou Plateau, this paper constructs an EH assessment model of “vigor-organization-resilience-service” to analyze the spatio-temporal distribution of EH from 2000 to 2020, and then uses the XGBoost model and the SHAP explanation model to analyze the specific functional relationship between each driving factors and EH. The results showed that: ①From 2000 to 2020, the EH of the western region in Yunnan-Guizhou Plateau is better than that of the eastern region, and the low EH counties are concentrated in the northeast region. ②Weak EH counties decreased from 40% in 2000 to 24% in 2020, the overall trend of global improvement is present. ③There is a decreasing cubic function relationship between urbanization level, rainfall and EH, there is an increasing cubic function relationship between temperature, normalized vegetation index and EH, and there is a fluctuating quadratic function relationship between elevation and EH. This study aims to provide a new scheme for region EH monitoring and a reference for ecological protection and restoration in Yunnan-Guizhou Plateau region.

Key words: ecosystem health, spatio-temporal distribution, driving factors, XGBoost model, SHAP model

中图分类号:

P237

张学鹏, 曾铖, 勾鹏, 黄莹双. 云贵高原地区生态系统健康时空分布及其驱动因素影响[J]. 测绘通报, 2024, 0(8): 37-41.

ZHANG Xuepeng, ZENG Cheng, GOU Peng, HUANG Yingshuang. The spatio-temporal distribution of ecosystem health and its driving factors in the Yunnan-Guizhou Plateau region[J]. Bulletin of Surveying and Mapping, 2024, 0(8): 37-41.

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云贵高原地区生态系统健康时空分布及其驱动因素影响

The spatio-temporal distribution of ecosystem health and its driving factors in the Yunnan-Guizhou Plateau region

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