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Title: At the Nexus of History, Ecology, and Hydrobiogeochemistry: Improved Predictions across Scales through Integration

Abstract

To improve predictions of ecosystem function in future environments, we need to integrate the ecological and environmental histories experienced by microbial communities with hydrobiogeochemistry across scales. A key issue is whether we can derive generalizable scaling relationships that describe this multiscale integration. There is a strong foundation for addressing these challenges. We have the ability to infer ecological history with null models and reveal impacts of environmental history through laboratory and field experimentation. Recent developments also provide opportunities to inform ecosystem models with targeted omics data. A major next step is coupling knowledge derived from such studies with multiscale modeling frameworks that are predictive under non-steady-state conditions. This is particularly true for systems spanning dynamic interfaces, which are often hot spots of hydrobiogeochemical function. Here, we can advance predictive capabilities through a holistic perspective focused on the nexus of history, ecology, and hydrobiogeochemistry.

Authors:
ORCiD logo [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1437034
Report Number(s):
PNNL-SA-130397
Journal ID: ISSN 2379-5077
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
mSystems
Additional Journal Information:
Journal Volume: 3; Journal Issue: 2; Journal ID: ISSN 2379-5077
Publisher:
American Society for Microbiology
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; biogeochemistry; ecological theory; ecosystem interfaces; historical contingency; hydrology; microbial communities; perturbation; resilience; scaling theory; succession

Citation Formats

Stegen, James C. At the Nexus of History, Ecology, and Hydrobiogeochemistry: Improved Predictions across Scales through Integration. United States: N. p., 2018. Web. doi:10.1128/mSystems.00167-17.
Stegen, James C. At the Nexus of History, Ecology, and Hydrobiogeochemistry: Improved Predictions across Scales through Integration. United States. doi:10.1128/mSystems.00167-17.
Stegen, James C. Tue . "At the Nexus of History, Ecology, and Hydrobiogeochemistry: Improved Predictions across Scales through Integration". United States. doi:10.1128/mSystems.00167-17. https://www.osti.gov/servlets/purl/1437034.
@article{osti_1437034,
title = {At the Nexus of History, Ecology, and Hydrobiogeochemistry: Improved Predictions across Scales through Integration},
author = {Stegen, James C.},
abstractNote = {To improve predictions of ecosystem function in future environments, we need to integrate the ecological and environmental histories experienced by microbial communities with hydrobiogeochemistry across scales. A key issue is whether we can derive generalizable scaling relationships that describe this multiscale integration. There is a strong foundation for addressing these challenges. We have the ability to infer ecological history with null models and reveal impacts of environmental history through laboratory and field experimentation. Recent developments also provide opportunities to inform ecosystem models with targeted omics data. A major next step is coupling knowledge derived from such studies with multiscale modeling frameworks that are predictive under non-steady-state conditions. This is particularly true for systems spanning dynamic interfaces, which are often hot spots of hydrobiogeochemical function. Here, we can advance predictive capabilities through a holistic perspective focused on the nexus of history, ecology, and hydrobiogeochemistry.},
doi = {10.1128/mSystems.00167-17},
journal = {mSystems},
number = 2,
volume = 3,
place = {United States},
year = {Tue Apr 10 00:00:00 EDT 2018},
month = {Tue Apr 10 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
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