NDLI: Plant Species Composition Can Be Used as a Proxy to Predict Methane Emissions in Peatland Ecosystems After Land-Use Changes

Content Provider	Springer Nature Link
Author	Dias, André T. C. Hoorens, Bart Logtestijn, Richard S. P. Vermaat, Jan E. Aerts, Rien
Copyright Year	2010
Abstract	Land-use change in peatlands affects important drivers of CH4 emission such as groundwater level and nutrient availability. Due to the high spatial and temporal variability of such environmental drivers, it is hard to make good predictions of CH4 emissions in the context of land-use changes. Here, we used plant species composition as a stable integrator of environmental drivers of CH4 emissions. We used weighted averaging regression and calibration to make a direct link between plant species composition and CH4 flux in an effort to predict values of CH4 emission for a land-use gradient in two extensive peatland sites. Our predicted CH4 emissions showed good fit with observed values. Additionally, we showed that a quick characterization of vegetation composition, by the dominant species only, provides equally good predictions of CH4 emissions. The use of mean groundwater level alone for predicting emissions showed the same predictive power as our models. However, water level showed strong variability in time. Furthermore, the inverse relationship between water level and CH4 emission can lead to higher errors in predictions at sites with higher CH4 emission. The performance of our model was comparable with those of mechanistic models developed for natural wetland ecosystems. However, such mechanistic models require complex input parameters that are rarely available. We propose the use of plant species composition as a simple and effective alternative for deriving predictions of CH4 emissions in peatlands in the context of land-use change.
Starting Page	526
Ending Page	538
Page Count	13
File Format	PDF
ISSN	14329840
Journal	Ecosystems
Volume Number	13
Issue Number	4
e-ISSN	14350629
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-05-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	fens greenhouse gases groundwater level modeling transfer functions wetlands Nature Conservation Geoecology/Natural Processes Environmental Management Zoology Plant Sciences Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology Environmental Chemistry Ecology, Evolution, Behavior and Systematics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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