How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale
文献类型：期刊论文
| 作者 | Vihervaara, Petteri; Mononen, Laura; Auvinen, Ari-Pekka; Virkkala, Raimo; Lu, Yihe; Pippuri, Inka; Packalen, Petteri; Valbuena, Ruben; Valkama, Jari |
| 刊名 | LANDSCAPE ECOLOGY
 |
| 出版日期 | 2015-03 |
| 卷号 | 30期号:3页码:501-516 |
| 关键词 | Ecosystem service Habitat LiDAR Essential biodiversity variable Citizen science Forest |
| 英文摘要 | 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. 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. We analysed data for 41 boreal forest bird species and for 14 structural ALS-based forest parameters. 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. 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. |
| 研究领域[WOS] | Ecology ; Geography, Physical ; Geosciences, Multidisciplinary |
| WOS记录号 | WOS:000350227000010 |
| 公开日期 | 2016-03-08 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/32317]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Vihervaara, Petteri,Mononen, Laura,Auvinen, Ari-Pekka,et al. How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale[J]. LANDSCAPE ECOLOGY,2015,30(3):501-516. |
| APA | Vihervaara, Petteri.,Mononen, Laura.,Auvinen, Ari-Pekka.,Virkkala, Raimo.,Lu, Yihe.,...&Valkama, Jari.(2015).How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale.LANDSCAPE ECOLOGY,30(3),501-516. |
| MLA | Vihervaara, Petteri,et al."How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale".LANDSCAPE ECOLOGY 30.3(2015):501-516. |
入库方式： OAI收割
来源：生态环境研究中心
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