Spatio-temporal Evaluation of Multi-scales Cultivated Land System Resilience in Black Soil Region from 2000 to 2019: A Case Study of Liaoning Province, Northeast China
{"title":"Spatio-temporal Evaluation of Multi-scales Cultivated Land System Resilience in Black Soil Region from 2000 to 2019: A Case Study of Liaoning Province, Northeast China","authors":"Yue Wang, Yuting Jiang, Guoxu Zhu","doi":"10.1007/s11769-023-1405-6","DOIUrl":null,"url":null,"abstract":"<p>It is of great significance to systematically analyze the cultivated land system resilience (CLSR) for the black soil protection and national food security. The CLSR is impacted by planting structure adjustment and cultivated land quality decline, posing major hidden dangers to food security. It is urgent to evaluate the CLSR at multiple spatio-temporal scales. This study took Liaoning Province in the black soil region of Northeast China as an example. Based on the resilience theory, this study constructed the CLSR evaluation system from the input-feedback perspective at the provincial-scale and the city-scale, and used the rank-sum ratio comprehensive evaluation method (RSR) to analyze the key influencing factors of CLSR in Liaoning Province and its 14 cities from 2000 to 2019. The results showed that: 1) the time series changes of CLSR at the provincial-scale and the city-scale in Liaoning Province were similar, both showing an increasing trend. 2) The CLSR in Liaoning Province presented a spatial pattern of ‘high in the west and low in the east’ at the city-scale. 3) There were seven and six main influencing factors of CLSR at the provincial-scale and the city-scale, respectively. In addition to the net income per capita of rural households, other influencing factors of CLSR were different at the provincial-scale and the city-scale. The feedback factors were dominant at the provincial-scale, and the input factors and feedback factors were dominant at the city-scale. The results could provide a reference for the utilization of black soil and draw on the experience of regional agricultural planning and adjustment.</p>","PeriodicalId":55258,"journal":{"name":"Chinese Geographical Science","volume":"12 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Geographical Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11769-023-1405-6","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
It is of great significance to systematically analyze the cultivated land system resilience (CLSR) for the black soil protection and national food security. The CLSR is impacted by planting structure adjustment and cultivated land quality decline, posing major hidden dangers to food security. It is urgent to evaluate the CLSR at multiple spatio-temporal scales. This study took Liaoning Province in the black soil region of Northeast China as an example. Based on the resilience theory, this study constructed the CLSR evaluation system from the input-feedback perspective at the provincial-scale and the city-scale, and used the rank-sum ratio comprehensive evaluation method (RSR) to analyze the key influencing factors of CLSR in Liaoning Province and its 14 cities from 2000 to 2019. The results showed that: 1) the time series changes of CLSR at the provincial-scale and the city-scale in Liaoning Province were similar, both showing an increasing trend. 2) The CLSR in Liaoning Province presented a spatial pattern of ‘high in the west and low in the east’ at the city-scale. 3) There were seven and six main influencing factors of CLSR at the provincial-scale and the city-scale, respectively. In addition to the net income per capita of rural households, other influencing factors of CLSR were different at the provincial-scale and the city-scale. The feedback factors were dominant at the provincial-scale, and the input factors and feedback factors were dominant at the city-scale. The results could provide a reference for the utilization of black soil and draw on the experience of regional agricultural planning and adjustment.
期刊介绍:
Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China.
Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.