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<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Optimal strategies for sampling functional traits in species-rich forests</title>
<creator>Paine, Timothy Charles Eliot</creator>
<creator>Baraloto, Christopher</creator>
<creator>Diaz, Sandra</creator>
<contributor>Biological and Environmental Sciences ; University of Stirling</contributor>
<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 - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>International Center for Tropical Botany, Department of Biological Sciences ; Florida International University</contributor>
<contributor>Instituto Multidisciplinario de Biologıa Vegetal (IMBIV-CONICET) and Departamento de Diversidad Biologica y Ecologıa, FCEFyN ; Universidad Nacional de Córdoba [Argentina]</contributor>
<contributor>The Leverhulme Trust, United Kingdom; CONICET; FONCyT, Argentina; Agence National de la Recherche, France; 'Investissement d'Avenir' (CEBA) [ANR-10-LABX-25-01]</contributor>
<source>ISSN: 0269-8463</source>
<source>EISSN: 1365-2435</source>
<source>Functional Ecology</source>
<publisher>Wiley</publisher>
<identifier>hal-01536541</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01536541</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01536541</source>
<source>Functional Ecology, Wiley, 2015, 29 (10), pp.1325-1331. 〈10.1111/1365-2435.12433〉</source>
<identifier>PRODINRA : 343202</identifier>
<identifier>DOI : 10.1111/1365-2435.12433</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2435.12433</relation>
<language>en</language>
<subject lang=en>French Guiana</subject>
<subject lang=en>functional traits</subject>
<subject lang=en>plant traits</subject>
<subject lang=en>specific leaf area</subject>
<subject lang=en>wood density</subject>
<subject lang=en>sampling design</subject>
<subject lang=en>tropical forest</subject>
<subject lang=en>tropical rain forests</subject>
<subject lang=fr>densité du bois</subject>
<subject lang=fr>stratégie d'echantillonnage</subject>
<subject lang=fr>forêt tropicale humide</subject>
<subject lang=fr>surface foliaire spécifique</subject>
<subject lang=fr>guyane française</subject>
<subject lang=fr>caractère fonctionnel</subject>
<subject>[SDV] Life Sciences [q-bio]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>1. Functional traits provide insight into a variety of ecological questions, yet the optimal sampling method to estimate the community-level distribution of plant functional trait values remains a subject of debate, especially in species-rich forests. 2. We present a simulation analysis of the trait distribution of a set of nine completely sampled permanent plots in the lowland rain forests of French Guiana. 3. Increased sampling intensity consistently improved accuracy in estimating community-weighted means and variances of functional trait values, whereas there was substantial variation among functional traits and minor differences among sampling strategies. 4. Thus, investment in intensified sampling yields a greater improvement in the accuracy of estimation than does an equivalent investment in sampling design complication. 5. Notably, 'taxon-free' strategies frequently had greater accuracy than did abundance-based strategies, which had the additional cost of requiring botanical surveys. 6. We conclude that there is no substitute for extensive field sampling to accurately characterize the distribution of functional trait values in species-rich forests.</description>
<date>2015</date>
</dc>
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