Xing Su , Jing Jia , Jun Zhang , Xia Li , Manyin Zhang
{"title":"1985-2020年历史性地震滑坡后植被恢复的时空演变特征:中国天水市案例研究","authors":"Xing Su , Jing Jia , Jun Zhang , Xia Li , Manyin Zhang","doi":"10.1016/j.ecolind.2024.112798","DOIUrl":null,"url":null,"abstract":"<div><div>Earthquakes occurring in mountainous regions have the potential to trigger a significant proliferation of landslides, greatly change the landforms, and exert a long-term impact on vegetation. Since the resurrection of ancient landslides has shown an upward trend in recent years, exploring the vegetation restoration and landslide activity of historical seismic landslides can prevent the occurrence of disasters in the future. In this study, we offer a novel calculation method for the evaluation of vegetation restoration of historical seismic landslides. There were 469 landslides in our study area that encompassed a total area of 87.70 km<sup>2</sup>. Based on the 30-m resolution normalized difference vegetation index (NDVI) data of the Tianshui City area from 1985 to 2020, which was used to quantify the vegetation restoration and landslide activity in the landslide area, we adopted the indicators of vegetation cover and vegetation restoration rate. In our analysis, the NDVI and FVC of the landslide area showed a fluctuating increase, the vegetation recovery rate of the landslide area using both VRR<sub>M</sub> and VRR<sub>N</sub> calculations demonstrated an increasing trend, and the number of active landslides decreased. However, the results of the VRR<sub>N</sub> calculation more accurately assessed the vegetation recovery of the landslide area in the long term, and proved that recovery was superior in 1990. The restoration of vegetation was affected by regional precipitation, altitude, human activities, and disaster activities; and landslides in the study area recovered least in 1990–1995 and most in 2005–2020. The present study of vegetation restoration for a disaster area provides a reference for the restoration, utilization, planning, and related research of landslide disasters in the region.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"169 ","pages":"Article 112798"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal evolutionary characteristics of vegetation restoration after historical earthquake landslides from 1985 to 2020: A case study of Tianshui City, China\",\"authors\":\"Xing Su , Jing Jia , Jun Zhang , Xia Li , Manyin Zhang\",\"doi\":\"10.1016/j.ecolind.2024.112798\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Earthquakes occurring in mountainous regions have the potential to trigger a significant proliferation of landslides, greatly change the landforms, and exert a long-term impact on vegetation. Since the resurrection of ancient landslides has shown an upward trend in recent years, exploring the vegetation restoration and landslide activity of historical seismic landslides can prevent the occurrence of disasters in the future. In this study, we offer a novel calculation method for the evaluation of vegetation restoration of historical seismic landslides. There were 469 landslides in our study area that encompassed a total area of 87.70 km<sup>2</sup>. Based on the 30-m resolution normalized difference vegetation index (NDVI) data of the Tianshui City area from 1985 to 2020, which was used to quantify the vegetation restoration and landslide activity in the landslide area, we adopted the indicators of vegetation cover and vegetation restoration rate. In our analysis, the NDVI and FVC of the landslide area showed a fluctuating increase, the vegetation recovery rate of the landslide area using both VRR<sub>M</sub> and VRR<sub>N</sub> calculations demonstrated an increasing trend, and the number of active landslides decreased. However, the results of the VRR<sub>N</sub> calculation more accurately assessed the vegetation recovery of the landslide area in the long term, and proved that recovery was superior in 1990. The restoration of vegetation was affected by regional precipitation, altitude, human activities, and disaster activities; and landslides in the study area recovered least in 1990–1995 and most in 2005–2020. The present study of vegetation restoration for a disaster area provides a reference for the restoration, utilization, planning, and related research of landslide disasters in the region.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"169 \",\"pages\":\"Article 112798\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X2401255X\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X2401255X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatiotemporal evolutionary characteristics of vegetation restoration after historical earthquake landslides from 1985 to 2020: A case study of Tianshui City, China
Earthquakes occurring in mountainous regions have the potential to trigger a significant proliferation of landslides, greatly change the landforms, and exert a long-term impact on vegetation. Since the resurrection of ancient landslides has shown an upward trend in recent years, exploring the vegetation restoration and landslide activity of historical seismic landslides can prevent the occurrence of disasters in the future. In this study, we offer a novel calculation method for the evaluation of vegetation restoration of historical seismic landslides. There were 469 landslides in our study area that encompassed a total area of 87.70 km2. Based on the 30-m resolution normalized difference vegetation index (NDVI) data of the Tianshui City area from 1985 to 2020, which was used to quantify the vegetation restoration and landslide activity in the landslide area, we adopted the indicators of vegetation cover and vegetation restoration rate. In our analysis, the NDVI and FVC of the landslide area showed a fluctuating increase, the vegetation recovery rate of the landslide area using both VRRM and VRRN calculations demonstrated an increasing trend, and the number of active landslides decreased. However, the results of the VRRN calculation more accurately assessed the vegetation recovery of the landslide area in the long term, and proved that recovery was superior in 1990. The restoration of vegetation was affected by regional precipitation, altitude, human activities, and disaster activities; and landslides in the study area recovered least in 1990–1995 and most in 2005–2020. The present study of vegetation restoration for a disaster area provides a reference for the restoration, utilization, planning, and related research of landslide disasters in the region.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.