Scale dependence of canopy trait distributions along a tropical forest elevation gradient.

Autor: Asner GP; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Martin RE; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Anderson CB; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Kryston K; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Vaughn N; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Knapp DE; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Bentley LP; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK., Shenkin A; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK., Salinas N; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK.; Sección Química, Pontificia Universidad Católica del Perú, Avenida Universitaria 1801, San Miguel, Lima, 32, Perú., Sinca F; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Tupayachi R; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, 94305, USA., Quispe Huaypar K; Universidad Nacional de San Antonio Abad del Cusco, Av. de la Cultura, Nro. 733, Cusco, Perú., Montoya Pillco M; Universidad Nacional de San Antonio Abad del Cusco, Av. de la Cultura, Nro. 733, Cusco, Perú., Ccori Álvarez FD; Universidad Nacional de San Antonio Abad del Cusco, Av. de la Cultura, Nro. 733, Cusco, Perú., Díaz S; Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET and FCEFyN, Universidad Nacional de Córdoba, Casilla de Correo 495, 5000, Córdoba, Argentina., Enquist BJ; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721-0001, USA.; The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, USA., Malhi Y; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK.
Jazyk: angličtina
Zdroj: The New phytologist [New Phytol] 2017 May; Vol. 214 (3), pp. 973-988. Date of Electronic Publication: 2016 Jun 28.
DOI: 10.1111/nph.14068
Abstrakt: Average responses of forest foliar traits to elevation are well understood, but far less is known about trait distributional responses to elevation at multiple ecological scales. This limits our understanding of the ecological scales at which trait variation occurs in response to environmental drivers and change. We analyzed and compared multiple canopy foliar trait distributions using field sampling and airborne imaging spectroscopy along an Andes-to-Amazon elevation gradient. Field-estimated traits were generated from three community-weighting methods, and remotely sensed estimates of traits were made at three scales defined by sampling grain size and ecological extent. Field and remote sensing approaches revealed increases in average leaf mass per unit area (LMA), water, nonstructural carbohydrates (NSCs) and polyphenols with increasing elevation. Foliar nutrients and photosynthetic pigments displayed little to no elevation trend. Sample weighting approaches had little impact on field-estimated trait responses to elevation. Plot representativeness of trait distributions at landscape scales decreased with increasing elevation. Remote sensing indicated elevation-dependent increases in trait variance and distributional skew. Multiscale invariance of LMA, leaf water and NSC mark these traits as candidates for tracking forest responses to changing climate. Trait-based ecological studies can be greatly enhanced with multiscale studies made possible by imaging spectroscopy.
(© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.)
Databáze: MEDLINE
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