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| DOI | 10.1088/1748-9326/aba3a4 |
| Mapping pervasive selective logging in the south-west Brazilian Amazon 2000-2019 | |
| Hethcoat M.G.; Carreiras J.M.B.; Edwards D.P.; Bryant R.G.; Peres C.A.; Quegan S. | |
| 发表日期 | 2020 |
| ISSN | 17489318 |
| 卷号 | 15期号:9 |
| 英文摘要 | Tropical forests harbour the highest biodiversity on the planet and are essential to human livelihoods and the global economy. However continued loss and degradation of forested landscapes, coupled with a rapidly rising global population, is placing incredible pressure on forests globally. The United Nations has developed the Reducing Emissions from Deforestation and forest Degradation (REDD +) programme in response to the challenges facing tropical forests and in recognition of the role they can play in climate mitigation. REDD + requires consistent and reliable monitoring of forests, however, national-level methodologies for measuring degradation are often bespoke and, because of an inability to track degradation effectively, the majority of countries combine reporting for deforestation and forest degradation into a single value. Here, we extend a recent analysis that enabled the detection of selective logging at the scale of a logging concession to a regional-scale estimation of selective logging activities. We utilized logging records from across Brazil to train a supervised classification algorithm for detecting logged pixels in Landsat imagery then predicted the extent of logging over a 20 year period throughout Rondônia, Brazil. Approximately one-quarter of the forested lands in Rondônia were cleared between 2000 and 2019. We estimate that 11.0% of the forest area present in 2000 had been selectively logged by 2019, comprising >11 500 km2 of forest. In general, rates of selective logging were twice as high in the first decade relative to the last decade of the period. Our approach is a considerable advance in developing an operationalized selective logging monitoring system capable of detecting subtle forest disturbances over large spatial scales. © 2020 The Author(s). Published by IOP Publishing Ltd. |
| 语种 | 英语 |
| scopus关键词 | Biodiversity; Deforestation; Climate mitigations; Forest degradation; Forest disturbances; Forested landscapes; Monitoring system; Reducing emissions; Supervised classification; Track degradation; Tropics; forest dynamics; forest ecosystem; mapping method; selective logging; Amazonas [Brazil]; Brazil; Nia |
| 来源期刊 | Environmental Research Letters
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/153772 |
| 作者单位 | School of Mathematics and Statistics, University of Sheffield, Sheffield, S3 7RH, United Kingdom; Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, United Kingdom; Grantham Centre for Sustainable Futures, University of Sheffield, Sheffield, S10 2TN, United Kingdom; National Centre for Earth Observation, University of Sheffield, Sheffield S3 7RH, United Kingdom; Department of Geography, University of Sheffield, Sheffield, S3 7ND, United Kingdom; School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom |
| 推荐引用方式 GB/T 7714 | Hethcoat M.G.,Carreiras J.M.B.,Edwards D.P.,et al. Mapping pervasive selective logging in the south-west Brazilian Amazon 2000-2019[J],2020,15(9). |
| APA | Hethcoat M.G.,Carreiras J.M.B.,Edwards D.P.,Bryant R.G.,Peres C.A.,&Quegan S..(2020).Mapping pervasive selective logging in the south-west Brazilian Amazon 2000-2019.Environmental Research Letters,15(9). |
| MLA | Hethcoat M.G.,et al."Mapping pervasive selective logging in the south-west Brazilian Amazon 2000-2019".Environmental Research Letters 15.9(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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