globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13264
论文题名:
Tree-mycorrhizal associations detected remotely from canopy spectral properties
作者: Fisher J.B.; Sweeney S.; Brzostek E.R.; Evans T.P.; Johnson D.J.; Myers J.A.; Bourg N.A.; Wolf A.T.; Howe R.W.; Phillips R.P.
刊名: Global change biology
ISSN: 13652486
出版年: 2016
卷: 22, 期:7
起始页码: 2596
结束页码: 2607
语种: 英语
英文关键词: canopy ; landscape ; mycorrhizae ; nutrients ; remote sensing ; species ; spectral
Scopus关键词: biogeochemical cycle ; canopy ; Landsat ; mycorrhiza ; nutrient cycling ; remote sensing ; spectral resolution ; ecology ; forest ; microbiology ; mycorrhiza ; physiology ; procedures ; remote sensing ; satellite imagery ; tree ; Ecology ; Forests ; Mycorrhizae ; Remote Sensing Technology ; Satellite Imagery ; Trees ; United States ; Fungi
英文摘要: A central challenge in global ecology is the identification of key functional processes in ecosystems that scale, but do not require, data for individual species across landscapes. Given that nearly all tree species form symbiotic relationships with one of two types of mycorrhizal fungi - arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi - and that AM- and ECM-dominated forests often have distinct nutrient economies, the detection and mapping of mycorrhizae over large areas could provide valuable insights about fundamental ecosystem processes such as nutrient cycling, species interactions, and overall forest productivity. We explored remotely sensed tree canopy spectral properties to detect underlying mycorrhizal association across a gradient of AM- and ECM-dominated forest plots. Statistical mining of reflectance and reflectance derivatives across moderate/high-resolution Landsat data revealed distinctly unique phenological signals that differentiated AM and ECM associations. This approach was trained and validated against measurements of tree species and mycorrhizal association across ~130 000 trees throughout the temperate United States. We were able to predict 77% of the variation in mycorrhizal association distribution within the forest plots (P < 0.001). The implications for this work move us toward mapping mycorrhizal association globally and advancing our understanding of biogeochemical cycling and other ecosystem processes. © 2016 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61351
Appears in Collections:影响、适应和脆弱性

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作者单位: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA; Joint Institute for Regional Earth System Science and Engineering, University of California at Los Angeles, 607 Charles E Young Drive East, Young Hall #4242, Los Angeles, CA, 90095-7228, USA; Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA; Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, WV, 26506, USA; Department of Geography, Indiana University, Student Building 120, Bloomington, IN, 47405, USA; Yale School of Forestry and Environmental Studies, Kroon Hall, 195 Prospect St., New Haven, CT, 06511, USA; Department of Biology, Washington University in St. Louis, Saint Louis, MO, 63130, USA; Conservation Ecology Center, Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remount Road, Front Royal, VA, 22630, USA; U.S. Geological Survey, National Research Program - Eastern Branch, 12201 Sunrise Valley Drive, Reston, VA, MS430, USA; Department of Natural and Applied Sciences and Cofrin Center for Biodiversity, University of Wisconsin-Green Bay, 2420 Nicolet Drive, Green Bay, WI, 54311, USA; Department of Biology, Indiana University, 247 Jordan Hall, 1001 E. Third St., Bloomington, IN, 47405, USA

Recommended Citation:
Fisher J.B.,Sweeney S.,Brzostek E.R.,et al. Tree-mycorrhizal associations detected remotely from canopy spectral properties[J]. Global change biology,2016-01-01,22(7)
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