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Efficient plot-based floristic assessment of tropical forests

Phillips, O.L., Vasquez Marti­nez, R., Nunez Vargas, P., Monteagudo, A.L., Chuspe Zans, M., Galiano Sanchez, W., Pena Cruz, A., Timana, M., Yli-Halla, M. and Rose, S. (2003) Efficient plot-based floristic assessment of tropical forests. Journal of Tropical Ecology, 19 (6). pp. 629-645. ISSN 0266-4674

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Abstract

The tropical flora remains chronically understudied and the lack of floristic understanding hampers ecological research and its application for large-scale conservation planning. Given scarce resources and the scale of the challenge there is a need to maximize the efficiency of both sampling strategies and sampling units, yet there is little information on the relative efficiency of different approaches to floristic assessment in tropical forests. This paper is the first attempt to address this gap. We repeatedly sampled forests in two regions of Amazonia using the two most widely used plot-based protocols of floristic sampling, and compared their performance in terms of the quantity of floristic knowledge and ecological insight gained scaled to the field effort required. Specifically, the methods are assessed first in terms of the number of person-days required to complete each sample (‘effort’), secondly by the total gain in the quantity of floristic information that each unit of effort provides (‘crude inventory efficiency’), and thirdly in terms of the floristic information gained as a proportion of the target species pool (‘proportional inventory efficiency’). Finally, we compare the methods in terms of their efficiency in identifying different ecological patterns within the data (‘ecological efficiency’) while controlling for effort. There are large and consistent differences in the performance of the two methods. The disparity is maintained even after accounting for regional and site-level variation in forest species richness, tree density and the number of field assistants. We interpret our results in the context of selecting the appropriate method for particular research purposes.

Item Type: Article
Copyright, Publisher and Additional Information: Copyright © 2003 Cambridge University Press
Keywords: Amazonia; biodiversity; diversity; efficiency; forest; inventory; Neotropics; Peru; survey; tropical
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Depositing User: Repository Officer
Date Deposited: 19 Jan 2005
Last Modified: 07 Jun 2014 07:45
Status: Published
Refereed: Yes
Identification Number: 10.1017/S0266467403006035
URI: http://eprints.whiterose.ac.uk/id/eprint/237

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