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Bendix, J.; Aguirre, N.; Beck, E.; Br&auml;uning, A.; Brandl, R.; Breuer, L.; Boehning-Gaese, K.; Dantas De Paula, M.; Hickler, T.; Homeier, J.; Inclan, D.; Leuschner, C.; Neuschulz, E.; Schleuning, M.; Suarez, J.P.; Trachte, K.; Wilcke, W. &amp; Farwig, N. (2021): <b>A research framework for&nbsp;projecting ecosystem change in&nbsp;highly diverse tropical mountain ecosystems</b>. <i>Oecologia</i> <b>2021</b>, 1-13.

Resource Description

Title: A research framework for projecting ecosystem change in highly diverse tropical mountain ecosystems
FOR816dw ID: 1899
Publication Date: 2021-01-31
License and Usage Rights:
Resource Owner(s):
Individual: Jörg Bendix
Contact:
Individual: Nikolay Aguirre
Contact:
Individual: Erwin Beck
Contact:
Individual: Achim Bräuning
Contact:
Individual: Roland Brandl
Contact:
Individual: Lutz Breuer
Contact:
Individual: Katrin Boehning-Gaese
Contact:
Individual: Mateus Dantas De Paula
Contact:
Individual: Thomas Hickler
Contact:
Individual: Jürgen Homeier
Contact:
Individual: Diego Inclan
Contact:
Individual: Christoph Leuschner
Contact:
Individual: Eike-Lena Neuschulz
Contact:
Individual: Matthias Schleuning
Contact:
Individual: Juan Pablo Suarez
Contact:
Individual: Katja Trachte
Contact:
Individual: Wolfgang Wilcke
Contact:
Individual: Nina Farwig
Contact:
Abstract:
Tropical mountain ecosystems are threatened by climate and land-use changes. Their diversity and complexity make projec-<br/> tions how they respond to environmental changes challenging. A suitable way are trait-based approaches, by distinguishing <br/> between response traits that determine the resistance of species to environmental changes and efect traits that are relevant <br/> for species’ interactions, biotic processes, and ecosystem functions. The combination of those approaches with land surface <br/> models (LSM) linking the functional community composition to ecosystem functions provides new ways to project the <br/> response of ecosystems to environmental changes. With the interdisciplinary project RESPECT, we propose a research <br/> framework that uses a trait-based response-efect-framework (REF) to quantify relationships between abiotic conditions, <br/> the diversity of functional traits in communities, and associated biotic processes, informing a biodiversity-LSM. We apply <br/> the framework to a megadiverse tropical mountain forest. We use a plot design along an elevation and a land-use gradient <br/> to collect data on abiotic drivers, functional traits, and biotic processes. We integrate these data to build the biodiversity-<br/> LSM and illustrate how to test the model. REF results show that aboveground biomass production is not directly related to <br/> changing climatic conditions, but indirectly through associated changes in functional traits. Herbivory is directly related to <br/> changing abiotic conditions. The biodiversity-LSM informed by local functional trait and soil data improved the simulation <br/> of biomass production substantially. We conclude that local data, also derived from previous projects (platform Ecuador), are <br/> key elements of the research framework. We specify essential datasets to apply this framework to other mountain ecosystems.
Keywords:
| Biodiversity-Land-Surface-Model |
Literature type specific fields:
ARTICLE
Journal: Oecologia
Volume: 2021
Page Range: 1-13
Metadata Provider:
Individual: Jörg Bendix
Contact:
Online Distribution:
Download File: http://www.lcrs.de/publications.do?citid=1899


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