Using plant, microbe, and soil fauna traits to improve the predictive power of biogeochemical models
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Author
Fry, Ellen L.
De Long, Jonathan R.
Álvarez Garrido, Lucía
Alvarez, Nil
Carrillo, Yolima
Castañeda-Gómez, Laura
Chomel, Mathilde
Dondini, Marta
Drake, John E.
Hasegawa, Shun
Hortal, Sara
Jackson, Benjamin G.
Jiang, Mingkai
Lavallee, Jocelyn M.
Medlyn, Belinda E.
Rhymes, Jennifer
Singh, Brajesh K.
Smith, Pete
Anderson, Ian C.
Bardgett, Richard D.
Baggs, Elizabeth M.
Johnson, David
Publication date
2018-09-11ISSN
2041-210X
Abstract
Process‐based models describing biogeochemical cycling are crucial tools to understanding long‐term nutrient dynamics, especially in the context of perturbations, such as climate and land‐use change. Such models must effectively synthesize ecological processes and properties. For example, in terrestrial ecosystems, plants are the primary source of bioavailable carbon, but turnover rates of essential nutrients are contingent on interactions between plants and soil biota. Yet, biogeochemical models have traditionally considered plant and soil communities in broad terms. The next generation of models must consider how shifts in their diversity and composition affect ecosystem processes.
One promising approach to synthesize plant and soil biodiversity and their interactions into models is to consider their diversity from a functional trait perspective. Plant traits, which include heritable chemical, physical, morphological and phenological characteristics, are increasingly being used to predict ecosystem processes at a range of scales, and to interpret biodiversity–ecosystem functional relationships. There is also emerging evidence that the traits of soil microbial and faunal communities can be correlated with ecosystem functions such as decomposition, nutrient cycling, and greenhouse gas production.
Here, we draw on recent advances in measuring and using traits of different biota to predict ecosystem processes, and provide a new perspective as to how biotic traits can be integrated into biogeochemical models. We first describe an explicit trait‐based model framework that operates at small scales and uses direct measurements of ecosystem properties; second, an integrated approach that operates at medium scales and includes interactions between biogeochemical cycling and soil food webs; and third, an implicit trait‐based model framework that associates soil microbial and faunal functional groups with plant functional groups, and operates at the Earth‐system level. In each of these models, we identify opportunities for inclusion of traits from all three groups to reduce model uncertainty and improve understanding of biogeochemical cycles.
These model frameworks will generate improved predictive capacity of how changes in biodiversity regulate biogeochemical cycles in terrestrial ecosystems. Further, they will assist in developing a new generation of process‐based models that include plant, microbial, and faunal traits and facilitate dialogue between empirical researchers and modellers.
Document Type
Article
Document version
Accepted version
Language
English
Subject (CDU)
574 - General ecology and biodiversity
Pages
34
Publisher
Wiley
Is part of
Methods in Ecology and Evolution
Citation
Fry, Ellen L., Jonathan R. De Long, Lucía Álvarez Garrido, Nil Alvarez, Yolima Carrillo, Laura Castañeda‐Gómez, and Mathilde Chomel et al. 2018. "Using Plant, Microbe, And Soil Fauna Traits To Improve The Predictive Power Of Biogeochemical Models". Methods In Ecology And Evolution 10 (1): 146-157. Wiley. doi:10.1111/2041-210x.13092.
Program
Aigües Marines i Continentals
This item appears in the following Collection(s)
- ARTICLES CIENTÍFICS [2510]
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/