Shouhao Zhang, Lei Sun, Abdul Hakim Jamshidi, Yong Niu, Zhaofei Fan, Hongda Zhang, Xia Liu, Lei Gao
{"title":"东北典型黑土区坡耕地土壤退化的风险评价与不确定性分析","authors":"Shouhao Zhang, Lei Sun, Abdul Hakim Jamshidi, Yong Niu, Zhaofei Fan, Hongda Zhang, Xia Liu, Lei Gao","doi":"10.1002/ldr.5406","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Soil degradation in the typical black soil region in Northeast China poses a threat to agricultural productivity and sustainability. However, little is known about the distribution of soil with different degradation degrees on a regional scale. This study aimed to map soil degradation status based on a newly developed soil degradation index (SDI) and assessed the uncertainty of degradation risk through the combination of ordinary Kriging and sequential Gaussian simulation (SGS) in order to enhance the accuracy and credibility of predictive results. The mean SDI was 0.445, with a coefficient of variation of 30%. The realization with 200 times by SGS was the best showed an increasing pattern of soil degradation degree from north to south in the study area. Slightly and moderately degraded sloping cropland accounted for 35.3% and 52.4% of all sloping cropland, respectively. High-risk areas were mainly located in the Daxing'an and Changbai Mountains to the Songnen Plain. Proactive measures are necessary to control and mitigate further degradation by improving soil management and weakening the impact of runoff on sloping cropland. The developed risk assessment maps provide baseline information for regional sustainable development.</p>\n </div>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"36 3","pages":"966-974"},"PeriodicalIF":3.6000,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil Degradation of Sloping Cropland in the Typical Black Soil Region in Northeast China: Risk Assessment and Uncertainty Analysis\",\"authors\":\"Shouhao Zhang, Lei Sun, Abdul Hakim Jamshidi, Yong Niu, Zhaofei Fan, Hongda Zhang, Xia Liu, Lei Gao\",\"doi\":\"10.1002/ldr.5406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Soil degradation in the typical black soil region in Northeast China poses a threat to agricultural productivity and sustainability. However, little is known about the distribution of soil with different degradation degrees on a regional scale. This study aimed to map soil degradation status based on a newly developed soil degradation index (SDI) and assessed the uncertainty of degradation risk through the combination of ordinary Kriging and sequential Gaussian simulation (SGS) in order to enhance the accuracy and credibility of predictive results. The mean SDI was 0.445, with a coefficient of variation of 30%. The realization with 200 times by SGS was the best showed an increasing pattern of soil degradation degree from north to south in the study area. Slightly and moderately degraded sloping cropland accounted for 35.3% and 52.4% of all sloping cropland, respectively. High-risk areas were mainly located in the Daxing'an and Changbai Mountains to the Songnen Plain. Proactive measures are necessary to control and mitigate further degradation by improving soil management and weakening the impact of runoff on sloping cropland. The developed risk assessment maps provide baseline information for regional sustainable development.</p>\\n </div>\",\"PeriodicalId\":203,\"journal\":{\"name\":\"Land Degradation & Development\",\"volume\":\"36 3\",\"pages\":\"966-974\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-01-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Land Degradation & Development\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ldr.5406\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land Degradation & Development","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ldr.5406","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Soil Degradation of Sloping Cropland in the Typical Black Soil Region in Northeast China: Risk Assessment and Uncertainty Analysis
Soil degradation in the typical black soil region in Northeast China poses a threat to agricultural productivity and sustainability. However, little is known about the distribution of soil with different degradation degrees on a regional scale. This study aimed to map soil degradation status based on a newly developed soil degradation index (SDI) and assessed the uncertainty of degradation risk through the combination of ordinary Kriging and sequential Gaussian simulation (SGS) in order to enhance the accuracy and credibility of predictive results. The mean SDI was 0.445, with a coefficient of variation of 30%. The realization with 200 times by SGS was the best showed an increasing pattern of soil degradation degree from north to south in the study area. Slightly and moderately degraded sloping cropland accounted for 35.3% and 52.4% of all sloping cropland, respectively. High-risk areas were mainly located in the Daxing'an and Changbai Mountains to the Songnen Plain. Proactive measures are necessary to control and mitigate further degradation by improving soil management and weakening the impact of runoff on sloping cropland. The developed risk assessment maps provide baseline information for regional sustainable development.
期刊介绍:
Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on:
- what land degradation is;
- what causes land degradation;
- the impacts of land degradation
- the scale of land degradation;
- the history, current status or future trends of land degradation;
- avoidance, mitigation and control of land degradation;
- remedial actions to rehabilitate or restore degraded land;
- sustainable land management.