How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale
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- 作者：Petteri Vihervaara (1)
Laura Mononen (1) (2)
Ari-Pekka Auvinen (1)
Raimo Virkkala (1)
Yihe L眉 (3)
Inka Pippuri (4)
Petteri Packalen (4)
Ruben Valbuena (4)
Jari Valkama (5)
1. Finnish Environment Institute (SYKE) ; Joensuu ; Oulu ; and Helsinki Offices ; P.O. Box 140 ; 00251 ; Helsinki ; Finland
2. Department of Geographical and Historical Studies ; University of Eastern Finland (UEF) ; P.O. Box 111 ; 80101 ; Joensuu ; Finland
3. State Key Laboratory of Urban and Regional Ecology ; Research Center for Eco-environmental Sciences (RCEES) ; Chinese Academy of Sciences ; P.O. Box 2871 ; Beijing ; 100085 ; China
4. School of Forest Sciences ; University of Eastern Finland (UEF) ; P.O. Box 111 ; 80101 ; Joensuu ; Finland
5. Finnish Museum of Natural History (FMNH) ; Zoological Museum ; Monitoring Centre ; University of Helsinki ; P.O. Box 17 ; 00014 ; Helsinki ; Finland - 关键词：Ecosystem service ; Habitat ; LiDAR ; Essential biodiversity variable ; Citizen science ; Forest
- 刊名：Landscape Ecology
- 出版年：2015
- 出版时间：March 2015
- 年：2015
- 卷：30
- 期：3
- 页码：501-516
- 全文大小：1,869 KB
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- 刊物主题：Life Sciences
Landscape Ecology
Plant Ecology
Forestry Management
Forestry
Ecology
Plant Sciences - 出版者：Springer Netherlands
- ISSN：1572-9761
文摘
Context Biodiversity and ecosystem functioning underpins the delivery of all ecosystem services and should be accounted for in all decision-making related to the use of natural resources and areas. However, biodiversity and ecosystem services are often inadequately accounted for in land use management decisions. Objective We studied a boreal forest ecosystem by linking citizen-science bird data with detailed information on forest characteristics from airborne laser scanning (ALS). In this paper, we describe this method, and evaluate how similar kinds of biological data sets combined with remote sensing can be used for ecosystem assessments at landscape scale. Methods We analysed data for 41 boreal forest bird species and for 14 structural ALS-based forest parameters. Results The results support the use of the selected method as a basis for quantifying spatially-explicit biodiversity indicators for ecosystem assessments, while suggestions for improvements are also reported. Finally, we evaluate the capacity of those indicators to describe biodiversity-ecosystem service relationships, for example with carbon trade-offs. The results showed clear distinctions between the different species as measured, for example, by above-ground forest biomass at the observation sites. We also assess how the available data sources can be developed to be compatible with the concept of essential biodiversity variables (EBV), which has been put forward as a solution to cover the most important aspects of biodiversity and ecosystem functioning. Conclusions We suggest that EBVs should be integrated into environmental monitoring programmes in the future, and citizen science and remote sensing methods need to be an important part of them.