气候变化领域集成服务门户(CCPortal): Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile's temperate forests

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DOI	10.1016/j.foreco.2020.118353
	Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile's temperate forests
	Martin-Gallego P.; Aplin P.; Marston C.; Altamirano A.; Pauchard A.
发表日期	2020
ISSN	0378-1127
卷号	474
英文摘要	Chile's temperate forest is a global biodiversity hotspot. An upsurge in alien forest plantations has disturbed and fragmented the landscape, promoting biological invasions. The invasion process is not fully understood since monitoring large and inaccessible areas can be prohibitively expensive and logistically challenging using field-based methods alone. Here, a remote sensing approach using Sentinel-2 satellite imagery, fragmentation analysis, and random forest modelling is applied to detect alien tree stands and describe their extent in relation to fragmentation and landscape structure in study areas around Malalcahuello National Reserve and Villarrica National Park. Detailed vegetation maps are produced, with classification accuracies >81% and including four forest classes, two native and two alien. An altitudinal pattern was observed in both sites. At lower altitudes, there was greater total area covered by alien trees and more fragmented native forests than at higher altitudes. However, Villarrica had less alien tree cover than Malalcahuello, but was a more fragmented landscape. Random forest modelling identified that alien pine tree mean patch area was positively correlated with both land cover diversity and Araucaria araucana forest mean patch area in both sites. Given their conservation and cultural relevance, the locations of protected areas need reconsidering to strengthen the protection of A. araucana, which could be outcompeted by alien trees in a context of increasing productive forestry. This is especially urgent in Villarrica, where protected areas already have a substantial presence of alien trees, with most A. araucana found outside protected areas. © 2020 Elsevier B.V.
关键词	Biodiversity Conservation Decision trees Environmental protection Random forests Remote sensing Satellite imagery Araucaria araucana Biological invasion Classification accuracy Fragmentation analysis Fragmented landscapes Landscape structures Remote sensing approaches Temperate forests Forestry biodiversity coniferous tree detection method ecological modeling introduced species land cover protected area satellite imagery Sentinel temperate forest Area Averages Biodiversity Conservation Coverings Forestry Remote Sensing Trees Araucania Chile Malalcahuello National Reserve Villarrica National Park Araucaria araucana
语种	英语
来源机构	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/132658
推荐引用方式 GB/T 7714	Martin-Gallego P.,Aplin P.,Marston C.,et al. Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile's temperate forests[J]. Forest Ecology and Management,2020,474.
APA	Martin-Gallego P.,Aplin P.,Marston C.,Altamirano A.,&Pauchard A..(2020).Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile's temperate forests.,474.
MLA	Martin-Gallego P.,et al."Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile's temperate forests".474(2020).