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<identifier>oai:HAL:hal-01032408v1</identifier>
<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Rapid Simultaneous Estimation of Aboveground Biomass and Tree Diversity Across Neotropical Forests: A Comparison of Field Inventory Methods</title>
<creator>Baraloto, Christopher</creator>
<creator>Molto, Quentin</creator>
<creator>Rabaud, Suzanne</creator>
<creator>Herault, Bruno</creator>
<creator>Valencia, Renato</creator>
<creator>Blanc, Lilian</creator>
<creator>Fine, Paul V. A.</creator>
<creator>Thompson, Jill</creator>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Lab Ecol Plantas, Escuela Ciencias Biol ; Pontificia Universidad Catolica del Ecuador</contributor>
<contributor>Herbario QCA ; Pontificia Universidad Catolica del Ecuador</contributor>
<contributor>Dept Integrat Biol ; University of California [Berkeley]</contributor>
<contributor>Inst Trop Ecosyst Studies ; Universidad de Puerto Rico</contributor>
<contributor>Penicuik EH26 0QB ; Ctr Ecol & Hydrol</contributor>
<contributor>U.S. National Science Foundation [DEB-008538, DEB-0218039, DEB-0620910, DEB-0516066]; University of Puerto Rico; International Institute of Tropical Forestry; Andrew Mellon Foundation; Government of Ecuador (Donaciones de Impuesto a la Renta); National Science, Foundation [DEB-0090311, DEB-9806828]; Pontificia Universidad Catolica del Ecuador; Mellon Foundation; Tupper Family Foundation; Smithsonian Tropical Research Institute; Centre National de la Recherche Scientifique through AMAZONIE program; NSF [DEB-0743103/0743800]; INRA; BGF from French Ministry of Agriculture (MAAP)</contributor>
<source>ISSN: 0006-3606</source>
<source>EISSN: 1744-7429</source>
<source>Biotropica</source>
<publisher>Wiley</publisher>
<identifier>hal-01032408</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01032408</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01032408</source>
<source>Biotropica, Wiley, 2013, 45 (3), pp.288 - 298. 〈10.1111/btp.12006〉</source>
<identifier>DOI : 10.1111/btp.12006</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/btp.12006</relation>
<language>en</language>
<subject lang=en>biodiversity assessment</subject>
<subject lang=en>monitoring</subject>
<subject lang=en>permanent plot</subject>
<subject lang=en>survey</subject>
<subject lang=en>tropical rain forest</subject>
<subject lang=en>TROPICAL FORESTS</subject>
<subject lang=en>SPECIES RICHNESS</subject>
<subject lang=en>CARBON STOCKS</subject>
<subject lang=en>LIVE BIOMASS</subject>
<subject lang=en>AMAZON BASIN</subject>
<subject lang=en>RAIN-FOREST</subject>
<subject lang=en>BIODIVERSITY</subject>
<subject lang=en>PLOT</subject>
<subject lang=en>PERFORMANCE</subject>
<subject lang=en>PATTERNS</subject>
<subject>[SDV.SA] Life Sciences [q-bio]/Agricultural sciences</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>A standardized rapid inventory method providing information on both tree species diversity and aboveground carbon stocks in tropical forests will be an important tool for evaluating efforts to conserve biodiversity and to estimate the carbon emissions that result from deforestation and degradation (REDD). Herein, we contrast five common plot methods differing in shape, size, and effort requirements to estimate tree diversity and aboveground tree biomass (AGB). We simulated the methods across six Neotropical forest sites that represent a broad gradient in forest structure, tree species richness, and floristic composition, and we assessed the relative performance of methods by evaluating the bias and precision of their estimates of AGB and tree diversity. For a given sample of forest area, a several small' (<1ha) sampling strategy led to a smaller coefficient of variation (CV) in the estimate of AGB than a few large' one. The effort (person-days) required to achieve an accurate AGB estimate (<10% CV), however, was greater for the smallest plots (0.1ha) than for a compromise approach using 0.5ha modified Gentry plots, which proved to be the most efficient method to estimate AGB across all forest types. Gentry plots were also the most efficient at providing accurate estimates of tree diversity (<10% CV of Hill number). We recommend the use of the 0.5ha modified Gentry plot method in future rapid inventories, and we discuss a set of criteria that should inform any choice of inventory method.</description>
<date>2013</date>
</dc>
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