Tatiana A. Shestakova , Brendan M. Rogers , Brendan Mackey , Sonia Hugh , Patrick Norman , Elena A. Kukavskaya
{"title":"Tracking ecosystem stability across boreal Siberia","authors":"Tatiana A. Shestakova , Brendan M. Rogers , Brendan Mackey , Sonia Hugh , Patrick Norman , Elena A. Kukavskaya","doi":"10.1016/j.ecolind.2024.112841","DOIUrl":null,"url":null,"abstract":"<div><div>Forests around the world are under immense pressure from human land use and climate change. Old-growth and primary forests have been degraded in recent decades, yet are generally more resilient and resistant to climate change effects compared to human-modified forests. Nowhere is this more evident than in Russian Siberia, which contains almost one-fifth of the world’s forest area and has been subjected to a variety of land uses and disturbances since the mid-20th century. Although a number of related geospatial products exist, there are no large-scale maps of old-growth and primary forests across Siberia. However, remotely sensed metrics of forest stability have been shown to relate to old-growth and primary forests in tropical and boreal environments. Here we apply stability indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors across boreal Siberia from 2003 to 2020. Our results indicate that forests in the central and southern taiga contain most areas of high stability, but also distinct zones of disturbance and low stability. We identified three regions with particularly low forest stability: (i) the Zabaikal region in southern Siberia, (ii) a portion of the central taiga spanning the Republic of Sakha (Yakutia), and (iii) the West Siberian lowlands. This approach can be used to monitor Siberian boreal forest condition, and could be applied to other boreal forested regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"169 ","pages":"Article 112841"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-16","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/S1470160X24012986","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}
引用次数: 0
Abstract
Forests around the world are under immense pressure from human land use and climate change. Old-growth and primary forests have been degraded in recent decades, yet are generally more resilient and resistant to climate change effects compared to human-modified forests. Nowhere is this more evident than in Russian Siberia, which contains almost one-fifth of the world’s forest area and has been subjected to a variety of land uses and disturbances since the mid-20th century. Although a number of related geospatial products exist, there are no large-scale maps of old-growth and primary forests across Siberia. However, remotely sensed metrics of forest stability have been shown to relate to old-growth and primary forests in tropical and boreal environments. Here we apply stability indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors across boreal Siberia from 2003 to 2020. Our results indicate that forests in the central and southern taiga contain most areas of high stability, but also distinct zones of disturbance and low stability. We identified three regions with particularly low forest stability: (i) the Zabaikal region in southern Siberia, (ii) a portion of the central taiga spanning the Republic of Sakha (Yakutia), and (iii) the West Siberian lowlands. This approach can be used to monitor Siberian boreal forest condition, and could be applied to other boreal forested regions.
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.