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Toward a better integration of biological data from precipitation manipulation experiments into Earth system models

The biological responses to precipitation within the terrestrial components of Earth system models, or land surface models (LSMs), are mechanistically simple and poorly constrained, leaving projections of terrestrial ecosystem functioning and feedbacks to climate change uncertain. A number of field...

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Published in:Reviews of geophysics (1985) 2014-09, Vol.52 (3), p.412-434
Main Authors: Smith, Nicholas G., Rodgers, Vikki L., Brzostek, Edward R., Kulmatiski, Andrew, Avolio, Meghan L., Hoover, David L., Koerner, Sally E., Grant, Kerstin, Jentsch, Anke, Fatichi, Simone, Niyogi, Dev
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container_end_page 434
container_issue 3
container_start_page 412
container_title Reviews of geophysics (1985)
container_volume 52
creator Smith, Nicholas G.
Rodgers, Vikki L.
Brzostek, Edward R.
Kulmatiski, Andrew
Avolio, Meghan L.
Hoover, David L.
Koerner, Sally E.
Grant, Kerstin
Jentsch, Anke
Fatichi, Simone
Niyogi, Dev
description The biological responses to precipitation within the terrestrial components of Earth system models, or land surface models (LSMs), are mechanistically simple and poorly constrained, leaving projections of terrestrial ecosystem functioning and feedbacks to climate change uncertain. A number of field experiments have been conducted or are underway to test how changing precipitation will affect terrestrial ecosystems. Results from these experiments have the potential to vastly improve modeled processes. However, the transformation of experimental results into model improvements still represents a grand challenge. Here we review the current state of precipitation manipulation experiments and the precipitation responses of biological processes in LSMs to explore how these experiments can help improve model realism. First, we discuss contemporary precipitation projections and then review the structure and function of current‐generation LSMs. We then examine different experimental designs and discuss basic variables that, if measured, would increase a field experiment's usefulness in a modeling context. Next, we compare biological processes commonly measured in the field with their model analogs and find that, in many cases, the way these processes are measured in the field is not compatible with the way they are represented in LSMs, an effect that hinders model development. We then discuss the challenge of scaling from the plot to the globe. Finally, we provide a series of recommendations aimed to improve the connectivity between experiments and LSMs and conclude that studies designed from the perspective of researchers in both communities will provide the greatest benefit to the broader global change community. Key Points ESM precipitation responses are mechanistically simple and poorly constrainedPrecipitation manipulation experiments have the potential to improve ESMsWe provide recommendations for using field experiments to improve ESMs
doi_str_mv 10.1002/2014RG000458
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1944-9208
language eng
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source Wiley-Blackwell Read & Publish Collection; Wiley-Blackwell AGU Digital Archive
subjects Climate change
climate variability
Earth
Earth system models
Ecological function
Experiments
Field tests
modeling
Precipitation
Terrestrial ecosystems
title Toward a better integration of biological data from precipitation manipulation experiments into Earth system models
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