黄河“几字弯”土地退化中性评估及影响因素分析

doi:10.12118/j.issn.1000-6060.2025.296

Abstract

Abstract:

Achieving land degradation neutrality (LDN) is a crucial pathway for addressing the global environmental challenge of land degradation. As a key area for ecological protection and high-quality development in the Yellow River Basin, the “Ji Zi Bend” section of the Yellow River faces serious soil erosion and desertification. Based on the LDN assessment framework, this study constructs a localized, multi-scale LDN analytical framework in combination with regional degradation processes. It systematically measures and analyzes the spatial patterns of LDN achievement and their influencing factors in the region from 2000 to 2023 by applying methods such as geographically weighted regression. The results show that (1) At the pixel scale, the area of land improvement exceeds that of degradation, with proportions of improved, degraded, and stabilized land accounting for 69.69%, 23.74%, and 6.57%, respectively. (2) At the regional scale, the LDN target has not yet been fully achieved, with 47.42% of land at the grid scale achieving LDN, 36.00% at the county scale achieving LDN, and only 7 out of 21 cities achieving LDN. (3) There is clear spatial heterogeneity in the dominant influencing factors of LDN. Wind speed, population density, and elevation generally exhibit negative effects on LDN in most areas, whereas precipitation, actual evapotranspiration, soil moisture, and the normalized difference vegetation index show positive effects on LDN. The findings provide a reference for the regionalized application of the LDN framework and a decision-making basis for land degradation management in the “Ji Zi Bend” section of the Yellow River.

Key words: land degradation neutrality, ecosystem services, geographically weighted regression, influencing factors, Yellow River’s “Ji Zi Bend”

ZHANG Jiajing, WANG Xiaofeng, ZHOU Chaowei, ZHOU Jitao, BAI Juan. Assessment of land degradation neutrality and analysis of influencing factors in Yellow River’s “Ji Zi Bend”[J].Arid Land Geography, 2026, 49(4): 856-867.

Figures/Tables 9

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数据名称	分辨率	来源
降水量	1 km	国家青藏高原数据中心（https://data.tpdc.ac.cn/）
气温	1 km	国家青藏高原数据中心（https://data.tpdc.ac.cn/）
潜在蒸散发	1 km	国家青藏高原数据中心（https://data.tpdc.ac.cn/）
风速站点	-	美国国家海洋和大气管理局下设的国家环境信息中心（https://www.ncei.noaa.gov/data/global-summary-of-the-day/archive/）
归一化植被指数	1 km	美国国家航空航天局（https://ladsweb.modaps.eosdis.nasa.gov/）
土地利用类型	1 km	中国科学院资源环境科学与数据中心（http://www.resdc.cn/）
高程	90 m	中国科学院资源环境科学与数据中心（http://www.resdc.cn/）
土壤湿度	10 km	GLEAM4数据集^[19]（https://www.gleam.eu/?spm=a2ty_o01.29997173.0.0.693c570b1fEaPT）
实际蒸散发	4 km	TerraClimate数据集（https://www.climatologylab.org/）
人口密度	1 km	landscan（https://landscan.ornl.gov/）

数据类别	数据名称	简称	数据描述
自然环境	降水量/mm	PRE	统计单元的年均降水量
	气温/℃	TEM	统计单元的年均气温
	风速/m·s^-1	WIND	统计单元10 m高度风速
	实际蒸散发/mm	AET	统计单元实际蒸散发量
	潜在蒸散发/mm	PET	统计单元潜在蒸散发量
	土壤湿度/%	SM	统计单元土壤湿度
	归一化植被指数	NDVI	统计单元的归一化植被指数
	高程/m	DEM	统计单元的高程值
人类活动	人口密度/人·km^-2	POP	统计单元的人口密度
	新增耕地比例/%	GD	统计单元2023年比2000年新增耕地面积占比
	新增城镇比例/%	CZ	统计单元2023年比2000年新增建设用地占比

模型诊断信息	残差平方和	赤池信息准则	R²	校正后R²
OLS	275.7117	607.0568	0.2378	0.2361
GWR	144.2750	-1862.9000	0.6012	0.6004

Assessment of land degradation neutrality and analysis of influencing factors in Yellow River’s “Ji Zi Bend”

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