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Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands

Remote Sensing Letters

By:
, , , and
DOI: 10.1080/2150704X.2013.766372

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Abstract

Monitoring productivity in coastal wetlands is important due to their high carbon sequestration rates and potential role in climate change mitigation. We tested agricultural- and forest-based methods for estimating the fraction of absorbed photosynthetically active radiation (f APAR), a key parameter for modelling gross primary productivity (GPP), in a restored, managed wetland with a dense litter layer of non-photosynthetic vegetation, and we compared the difference in canopy light transmission between a tidally influenced wetland and the managed wetland. The presence of litter reduced correlations between spectral vegetation indices and f APAR. In the managed wetland, a two-band vegetation index incorporating simulated World View-2 or Hyperion green and near-infrared bands, collected with a field spectroradiometer, significantly correlated with f APAR only when measured above the litter layer, not at the ground where measurements typically occur. Measures of GPP in these systems are difficult to capture via remote sensing, and require an investment of sampling effort, practical methods for measuring green leaf area and accounting for background effects of litter and water.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands
Series title:
Remote Sensing Letters
DOI:
10.1080/2150704X.2013.766372
Volume
4
Issue:
6
Year Published:
2013
Language:
English
Publisher:
Taylor & Francis
Publisher location:
Philadelphia, PA
Contributing office(s):
Western Geographic Science Center
Description:
10 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Remote Sensing Letters
First page:
542
Last page:
551