Marching in step: The importance of matching model complexity to data availability in terrestrial biosphere models

Building models to predict ecosystem responses to future rainfall changes requires closely matching model complexity to data availability. A new study by Paschalis et al. (Global Change Biology, 2020) examines opportunities to improve both data availability and model structure in 10 state‐of‐the‐art...

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Published inGlobal change biology Vol. 26; no. 6; pp. 3190 - 3192
Main Author Feng, Xue
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.06.2020
Subjects
Availability
Biology
Biosphere
Complexity
Ecosystem
Environment models
Environmental changes
Model matching
Models, Theoretical
Rain
Rainfall
Rainforest
Terrestrial environments
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Abstract Building models to predict ecosystem responses to future rainfall changes requires closely matching model complexity to data availability. A new study by Paschalis et al. (Global Change Biology, 2020) examines opportunities to improve both data availability and model structure in 10 state‐of‐the‐art terrestrial biosphere models. This is a Commentary on Paschalis et al. 26, 3336–3355
AbstractList Building models to predict ecosystem responses to future rainfall changes requires closely matching model complexity to data availability. A new study by Paschalis et al. (Global Change Biology, 2020) examines opportunities to improve both data availability and model structure in 10 state‐of‐the‐art terrestrial biosphere models. This is a Commentary on Paschalis et al. 26, 3336–3355
Building models to predict ecosystem responses to future rainfall changes requires closely matching model complexity to data availability. A new study by Paschalis et al. (Global Change Biology, 2020) examines opportunities to improve both data availability and model structure in 10 state‐of‐the‐art terrestrial biosphere models.This is a Commentary on Paschalis et al. 26, 3336–3355
Building models to predict ecosystem responses to future rainfall changes requires closely matching model complexity to data availability. A new study by Paschalis et al. ( Global Change Biology , 2020) examines opportunities to improve both data availability and model structure in 10 state‐of‐the‐art terrestrial biosphere models. This is a Commentary on Paschalis et al. 26, 3336–3355
Author Feng, Xue
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Cites_doi 10.1111/gcb.13910
10.1111/gcb.15026
10.1111/pce.12043
10.5194/gmd-12-2463-2019
10.1029/2018MS001500
10.1146/annurev.ecolsys.38.091206.095748
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10.1111/gcb.14814
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SubjectTerms Availability
Biology
Biosphere
Complexity
Ecosystem
Environment models
Environmental changes
Model matching
Models, Theoretical
Rain
Rainfall
Rainforest
Terrestrial environments
Title Marching in step: The importance of matching model complexity to data availability in terrestrial biosphere models
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