A non-destructive method to estimate biomass in arid environments: A comment on |
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| Authors: | N Montès |
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| Institution: | 1. Flathead Lake Biological Station, The University of Montana, Polson, MT 59860, United States;2. Numerical Terradynamics Simulation Group, The University of Montana, Missoula, MT 59812, United States;3. Dept. of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ 85721, United States;4. Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, United States;1. Technische Universität Wien, Vienna, Austria;2. Universitat Politècnica de Catalunya, Barcelona, Spain;1. Faculty of Foundry Engineering, AGH University of Science and Technology, ul. Reymonta 23, 30-059 Krakow, Poland;2. Faculty of Chemistry, Jagiellonian University, ul. Ingardena 3, 30-060 Krakow, Poland;3. Department of Chemistry and Physics, University of Agriculture, ul. Balicka 122, 30-149 Krakow, Poland;1. Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China;2. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China |
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| Abstract: | Numerous ecological studies in grasslands and shrublands have used plant cover as a surrogate of aboveground net primary production (ANPP), biomass or biovolume. Regression equations between biomass and plant cover involve taking into account a wide range of vegetation cover. This comment assesses the consequences for biomass estimations of the method presented by Flombaum and Sala Flombaum, P., Sala, O.E., 2007. A non-destructive and rapid method to estimate biomass and aboveground net primary production in arid environments. Journal of Arid Environments 69, 352–358.], which consists in removing portions of individuals to achieve the desired plant cover estimation. We found that alteration of architecture of individuals could lead to an overestimation of biomass by a factor ranging from 1.05 to 3.16, depending on the extent of the reduction of the plant cover. |
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