首页|Health Assessment and Driving Force Analysis of Cropland Systems in Typical Black Soil Region of Northeast China from 2003 to 2023

Health Assessment and Driving Force Analysis of Cropland Systems in Typical Black Soil Region of Northeast China from 2003 to 2023

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Health Assessment and Driving Force Analysis of Cropland Systems in Typical Black Soil Region of Northeast China from 2003 to 2023
The health of cropland systems is directly related to the degree of food security guarantee,and the'quantity-quality-ecology as a whole'protection is of great significance for maintaining the health of cropland systems.Taking the typical black soil region in Northeast China(TBSN)as an example,this paper combined the concept of'quantity-quality-ecology as a whole'protection with crop-land systems health,constructed a health assessment model for cropland systems,and used Google Earth Engine to conduct a quantitat-ive analysis of the temporal and spatial evolution of cropland systems health in TBSN during 2003-2023.By coupling the geographical detector and the Multi-scale Geographically Weighted Regression(MGWR)model,the driving factors of cropland health changes were explored.The study finds that during the research period,the health status of cropland systems in TBSN showed a slight downward trend,and the distribution pattern of cropland systems health gradually shifted from'better in the east'to'high in the northeast and low in the southwest'.Changes in average annual sunshine duration,relative humidity,and precipitation had a significant impact on the spa-tial differentiation of cropland systems health in the early stages,and were considered as dominant factors.Meanwhile,the influence of dual dominant factors in the natural environment on cropland systems health is increasing.Furthermore,the MGWR model performed better in revealing the complex relationships between natural and social factors and changes in cropland systems health,demonstrating the significant spatial heterogeneity of the impacts of natural environment and human activities on cropland systems health.The re-search can provide scientific guidance for the sustainable development of TBSN and formulate more precise and effective cropland pro-tection policies.

cropland systems healthGoogle Earth Engine(GEE)Multi-scale Geographically Weighted Regression(MGWR)modelGeographical Detectortypical black soil regionNortheast China

TIAN Xinyu、JIANG Hailing、LUO Niu、ZHANG Shuhan、YU Hailin、ZHANG Jingyi

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College of Geographical and Tourism Science,Jilin Normal University,Siping 136000,China

cropland systems health Google Earth Engine(GEE) Multi-scale Geographically Weighted Regression(MGWR)model Geographical Detector typical black soil region Northeast China

2025

10.1007/s11769-025-1514-5

中国地理科学(英文版)
中国科学院长春地理研究所

中国地理科学(英文版)

影响因子：0.754
ISSN：1002-0063
年,卷(期)：2025.35(3)