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A research framework for projecting ecosystem change in highly diverse tropical mountain ecosystems

Bendix, Jörg; Aguire, Nicolay; Beck, Erwin; Bräuning, Achim; Brandl, Roland; Breuer, Lutz; Böhning-Gaese, Katrin; Dantas de Paula, Mateus; Hickler, Thomas; Homeier, Jürgen; Inclan, Diego; Leuschner, Christoph; Neuschulz, Eike L.; Schleuning, Matthias; Suarez, Juan P.; Trachte, Katja; Wilcke, Wolfgang; Windhorst, David; Farwig, Nina

Tropical mountain ecosystems are threatened by climate and land-use changes. Their diversity and complexity make projections how they respond to environmental changes challenging. A suitable way are trait-based approaches, by distinguishing between response traits that determine the resistance of species to environmental changes and effect traits that are relevant for species' interactions, biotic processes, and ecosystem functions. The combination of those approaches with land surface models (LSM) linking the functional community composition to ecosystem functions provides new ways to project the response of ecosystems to environmental changes. With the interdisciplinary project RESPECT, we propose a research framework that uses a trait-based response-effect-framework (REF) to quantify relationships between abiotic conditions, the diversity of functional traits in communities, and associated biotic processes, informing a biodiversity-LSM. We apply the framework to a megadiverse tropical mountain forest. We use a plot design along an elevation and a land-use gradient to collect data on abiotic drivers, functional traits, and biotic processes. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000129860
Veröffentlicht am 03.03.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0029-8549, 1432-1939
KITopen-ID: 1000129860
Erschienen in Oecologia
Verlag Springer
Band 549
Seiten 589–600
Vorab online veröffentlicht am 30.01.2021
Schlagwörter Biodiversity-land surface model; Functional traits; High mountains; Research framework; Response-efectframework
Nachgewiesen in Dimensions
Web of Science
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