globalchange  > 全球变化的国际研究计划
DOI: 10.3390/rs11141685
WOS记录号: WOS:000480527800055
论文题名:
Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing
作者: McPartland, Mara Y.1,2; Falkowski, Michael J.3; Reinhardt, Jason R.2; Kane, Evan S.4,5; Kolka, Randy6; Turetsky, Merritt R.7; Douglas, Thomas A.8; Anderson, John9; Edwards, Jarrod D.9; Palik, Brian6; Montgomery, Rebecca A.2
通讯作者: McPartland, Mara Y.
刊名: REMOTE SENSING
EISSN: 2072-4292
出版年: 2019
卷: 11, 期:14
语种: 英语
英文关键词: hyperspectral ; remote sensing ; peatlands ; boreal ; arctic ; species diversity ; land cover
WOS关键词: GREENHOUSE-GAS FLUXES ; IMAGING SPECTROSCOPY ; ARCTIC TUNDRA ; SPECTRAL-RESOLUTION ; FUNCTIONAL TYPES ; CLIMATE-CHANGE ; VEGETATION ; BIODIVERSITY ; RICHNESS ; REFLECTANCE
WOS学科分类: Remote Sensing
WOS研究方向: Remote Sensing
英文摘要:

Peatlands, which account for approximately 15% of land surface across the arctic and boreal regions of the globe, are experiencing a range of ecological impacts as a result of climate change. Factors that include altered hydrology resulting from drought and permafrost thaw, rising temperatures, and elevated levels of atmospheric carbon dioxide have been shown to cause plant community compositional changes. Shifts in plant composition affect the productivity, species diversity, and carbon cycling of peatlands. We used hyperspectral remote sensing to characterize the response of boreal peatland plant composition and species diversity to warming, hydrologic change, and elevated CO2. Hyperspectral remote sensing techniques offer the ability to complete landscape-scale analyses of ecological responses to climate disturbance when paired with plot-level measurements that link ecosystem biophysical properties with spectral reflectance signatures. Working within two large ecosystem manipulation experiments, we examined climate controls on composition and diversity in two types of common boreal peatlands: a nutrient rich fen located at the Alaska Peatland Experiment (APEX) in central Alaska, and an ombrotrophic bog located in northern Minnesota at the Spruce and Peatland Responses Under Changing Environments (SPRUCE) experiment. We found a strong effect of plant functional cover on spectral reflectance characteristics. We also found a positive relationship between species diversity and spectral variation at the APEX field site, which is consistent with other recently published findings. Based on the results of our field study, we performed a supervised land cover classification analysis on an aerial hyperspectral dataset to map peatland plant functional types (PFTs) across an area encompassing a range of different plant communities. Our results underscore recent advances in the application of remote sensing measurements to ecological research, particularly in far northern ecosystems.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142988
Appears in Collections:全球变化的国际研究计划

Files in This Item:

There are no files associated with this item.


作者单位: 1.Univ Minnesota, Dept Geog Environm & Soc, Minneapolis, MN 55455 USA
2.Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA
3.Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
4.Michigan Technol Univ, Sch Forest Resources & Environm Sci, Houghton, MI 49931 USA
5.US Forest Serv, Northern Res Stn, USDA, Houghton, MI 49931 USA
6.US Forest Serv, Northern Res Stn, USDA, Grand Rapids, MN 55744 USA
7.Univ Guelph, Dept Integrat Biol, Guelph, ON N1G 2W1, Canada
8.US Army, Cold Reg Res & Engn Lab, Ft Wainwright, AK 99703 USA
9.US Army, Corps Engineers, Geospatial Res Lab, Alexandria, VA 22315 USA

Recommended Citation:
McPartland, Mara Y.,Falkowski, Michael J.,Reinhardt, Jason R.,et al. Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing[J]. REMOTE SENSING,2019-01-01,11(14)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[McPartland, Mara Y.]'s Articles
[Falkowski, Michael J.]'s Articles
[Reinhardt, Jason R.]'s Articles
百度学术
Similar articles in Baidu Scholar
[McPartland, Mara Y.]'s Articles
[Falkowski, Michael J.]'s Articles
[Reinhardt, Jason R.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[McPartland, Mara Y.]‘s Articles
[Falkowski, Michael J.]‘s Articles
[Reinhardt, Jason R.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.