Remote Sensing | |
A Hybrid Model for Mapping Relative Differences in Belowground Biomass and Root:Shoot Ratios Using Spectral Reflectance, Foliar N and Plant Biophysical Data within Coastal Marsh | |
Jessica L. O𠆜onnell1  Kristin B. Byrd2  Maggi Kelly1  Richard W. Gould3  Yoshio Inoue3  | |
[1] Department of Environmental Sciences Policy and Management, University of California, Berkeley, Berkeley, CA 94720, USA;U.S. Geological Survey, Western Geographic Science Center, Menlo Park, CA 94025, USA;;Department of Environmental Sciences Policy and Management, University of California, Berkeley, Berkeley, CA 94720, USA | |
关键词: belowground biomass; carbon cycling; coastal tidal freshwater wetlands; eutrophication; Landsat; nitrogen cycling; productivity; root:shoot ratio; remote-sensing; sea level rise; | |
DOI : 10.3390/rs71215837 | |
来源: mdpi | |
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【 摘 要 】
Broad-scale estimates of belowground biomass are needed to understand wetland resiliency and C and N cycling, but these estimates are difficult to obtain because root:shoot ratios vary considerably both within and between species. We used remotely-sensed estimates of two aboveground plant characteristics, aboveground biomass and % foliar N to explore biomass allocation in low diversity freshwater impounded peatlands (Sacramento-San Joaquin River Delta, CA, USA). We developed a hybrid modeling approach to relate remotely-sensed estimates of % foliar N (a surrogate for environmental N and plant available nutrients) and aboveground biomass to field-measured belowground biomass for species specific and mixed species models. We estimated up to 90% of variation in foliar N concentration using partial least squares (PLS) regression of full-spectrum field spectrometer reflectance data. Landsat 7 reflectance data explained up to 70% of % foliar N and 67% of aboveground biomass. Spectrally estimated foliar N or aboveground biomass had negative relationships with belowground biomass and root:shoot ratio in both
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190002074ZK.pdf | 3004KB | ![]() |