气候变化领域集成服务门户(CCPortal): Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data

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DOI	10.1016/j.foreco.2018.09.003
	Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data
	Ganivet E.; Bloomberg M.
发表日期	2019
ISSN	0378-1127
起始页码	40
结束页码	53
卷号	432
英文摘要	With forest fragmentation continuing in many parts of the tropics, it is likely that fragmented forests will become the rule for most remaining global tropical forests in the next decades. In this context, there is a need for practical tools to assess and monitor fragmented forests if we are to conserve tree species diversity as much as possible. Several methods, either using (1) field-based or (2) remote-sensing approaches could be used to achieve this goal. This paper aims at providing a state-of-the-art review of both approaches in order to make recommendations for rapid and cost-effective assessments of tree species diversity and forest structure, with specific applications in studies of fragmented tropical forests. Overall both methods have pros and cons, depending on the type of data needed to address the research objectives and the quantity of resources available. We suggest combining the use of both field-based and remotely-sensed methods as they can be complementary. Remote-sensing data should be used to predict and map the tree species diversity and stand structure at regional scales, while field-inventories provide accurate information at local scales and allow validation of remotely-sensed data. For field-inventories, we recommend the use of small (e.g. 20 × 50 m) plots with a 10 cm DBH minimum measurement. In terms of remotely-sensed techniques, if funding is sufficient, airborne imagery seems the best regarding the quality of information (i.e. hyperspectral and hyperspatial imagery, LiDAR). If funding is limited, a cost-effective alternative providing reasonably accurate estimates would be the use of high-resolution satellite imagery such as Worldview. Ultimately, for studies where data accessible for free is the only possible option, we recommend the use of Sentinel-2, although it is relatively coarser in terms of quality. However, further research needs to be done to validate these approaches in fragmented tropical forests. © 2018 Elsevier B.V.
英文关键词	Airborne imagery; Biodiversity; Forest fragmentation; Forest inventory; Satellite imagery; Tree species richness
语种	英语
scopus关键词	Biodiversity; Conservation; Cost benefit analysis; Cost effectiveness; Remote sensing; Satellite imagery; Tropics; Airborne imagery; Forest fragmentations; Forest inventory; High resolution satellite imagery; Quality of information; Remote sensing approaches; State-of-the art reviews; Tree species; Forestry; assessment method; community structure; cost analysis; habitat fragmentation; model validation; remote sensing; satellite data; satellite imagery; Sentinel; species diversity; tropical forest; vegetation structure; Biodiversity; Conservation; Cost Effectiveness; Forestry; Remote Sensing; Tropics
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156412
作者单位	Department of Land Management and Systems, Faculty of Agribusiness and Commerce, Lincoln University, Lincoln, New Zealand
推荐引用方式 GB/T 7714	Ganivet E.,Bloomberg M.. Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data[J],2019,432.
APA	Ganivet E.,&Bloomberg M..(2019).Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data.Forest Ecology and Management,432.
MLA	Ganivet E.,et al."Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data".Forest Ecology and Management 432(2019).