Twenty Years of Progress, Challenges, and Opportunities in Measuring and Understanding Soil Respiration

Author:

Bond‐Lamberty Ben1ORCID,Ballantyne Ashley2ORCID,Berryman Erin3ORCID,Fluet‐Chouinard Etienne4ORCID,Jian Jinshi5,Morris Kendalynn A.1ORCID,Rey Ana6ORCID,Vargas Rodrigo7ORCID

Affiliation:

1. Pacific Northwest National Laboratory Joint Global Change Research Institute College Park MD USA

2. Department of Ecosystem and Conservation Sciences University of Montana Missoula MT USA

3. Rocky Mountain Research Station USDA Forest Service Fort Collins CO USA

4. Pacific Northwest National Laboratory Richland WA USA

5. Northwest A&F University Yangling China

6. National Museum of Natural Sciences Spanish National Research Council (CSIC) Madrid Spain

7. Department of Plant and Soil Sciences University of Delaware Newark DE USA

Abstract

AbstractSoil respiration (Rs), the soil‐to‐atmosphere flux of CO2, is a dominant but uncertain part of the carbon cycle, even after decades of study. This review focuses on progress in understanding Rs from laboratory incubations to global estimates. We survey key developments of in situ ecosystem‐scale Rs observations and manipulations, synthesize Rs meta‐analyses and global flux estimates, and discuss the most compelling challenges and opportunities for the future. Increasingly sophisticated lab experiments have yielded insights into the interaction among heterotrophic respiration, substrate supply, and enzymatic kinetics, and extended incubation‐based analyses across space and time. Observational and manipulative field‐based experiments have used improved measurement approaches to deepen our understanding of the integrated effects of environmental change and disturbance on Rs. Freely‐available observational databases have enabled meta‐analyses and studies probing the magnitude of, and constraints on, the global Rs flux. Key challenges for the field include expanding Rs measurements, experiments, and opportunities to under‐represented communities and ecosystems; reconciling independent estimates of global respiration fluxes and trends; testing and leveraging the power of machine learning and process‐based models, both independently and in conjunction with each other; and continuing the field's tradition of using novel experiments to explore diverse mechanisms and ecosystems.

Funder

Earth Sciences Division

Biological and Environmental Research

Publisher

American Geophysical Union (AGU)

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