Quantifying Human‐Mediated Carbon Cycle Feedbacks

Author(s): Jones, AD; Calvin, KV; Shi, X; Di Vittorio, AV; Bond-Lamberty, B; Thornton, PE; Collins, WD | Abstract: Published 2018. This article is a U.S. Government work and is in the public domain in the USA. Changes in land and ocean carbon storage in response to elevated atmospheric carbon dioxide concentrations and associated climate change, known as the concentration-carbon and climate-carbon feedbacks, are principal controls on the response of the climate system to anthropogenic greenhouse gas emissions. Such feedbacks have typically been quantified in the context of natural ecosystems, but land management activities are also responsive to future atmospheric carbon and climate changes. Here we show that inclusion of such human-driven responses within an Earth system model shifts both the terrestrial concentration-carbon and climate-carbon feedbacks toward increased carbon storage. We introduce a conceptual framework for decomposing these changes into separate concentration-land cover, climate-land cover, and land cover-carbon effects, providing a parsimonious means to diagnose sources of variation across numerical models capable of estimating such feedbacks.

[1]  P. Kyle,et al.  Climate change effects on agriculture: Economic responses to biophysical shocks , 2013, Proceedings of the National Academy of Sciences.

[2]  N. Nakicenovic,et al.  RCP 8.5—A scenario of comparatively high greenhouse gas emissions , 2011 .

[3]  Martin Jung,et al.  The C4MIP experimental protocol for CMIP6 , 2016 .

[4]  James W. Jones,et al.  Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison , 2013, Proceedings of the National Academy of Sciences.

[5]  J. Gregory,et al.  Quantifying Carbon Cycle Feedbacks , 2009 .

[6]  N. Anten,et al.  Carbon dioxide fertilization offsets negative impacts of climate change on Arabica coffee yield in Brazil , 2017, Climatic Change.

[7]  P. Cox,et al.  Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models , 2013 .

[8]  J. Randerson,et al.  Multicentury changes in ocean and land contributions to the climate‐carbon feedback , 2015 .

[9]  I. C. Prentice,et al.  Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .

[10]  Jinfeng Chang,et al.  Sensitivity of land use change emission estimates to historical land use and land cover mapping , 2017 .

[11]  Stephen Sitch,et al.  Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments , 2017 .

[12]  I. Wing,et al.  US major crops’ uncertain climate change risks and greenhouse gas mitigation benefits , 2015 .

[13]  Sergey Paltsev,et al.  Toward a consistent modeling framework to assess multi-sectoral climate impacts , 2018, Nature Communications.

[14]  J. Elliott,et al.  Implications of climate mitigation for future agricultural production , 2015 .

[15]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[16]  Atul K. Jain,et al.  Modeling the effects of two different land cover change data sets on the carbon stocks of plants and soils in concert with CO2 and climate change , 2005 .

[17]  Philip G. Sansom,et al.  Sources of Uncertainty in Future Projections of the Carbon Cycle , 2016 .

[18]  Andrei P. Sokolov,et al.  Historical and idealized climate model experiments: an intercomparison of Earth system models of intermediate complexity , 2013 .

[19]  K. Calvin,et al.  Integrated human-earth system modeling—state of the science and future directions , 2018, Environmental Research Letters.

[20]  Bas Eickhout,et al.  Climate simulation of the twenty-first century with interactive land-use changes , 2007 .

[21]  K.,et al.  Carbon–Concentration and Carbon–Climate Feedbacks in CMIP5 Earth System Models , 2012 .

[22]  Peter E. Thornton,et al.  Biospheric feedback effects in a synchronously coupled model of human and Earth systems , 2017 .

[23]  J. Randerson,et al.  Atmospheric Carbon Dioxide Variability in the Community Earth System Model: Evaluation and Transient Dynamics during the Twentieth and Twenty-First Centuries , 2013 .

[24]  Brian C. O'Neill,et al.  Modelling feedbacks between human and natural processes in the land system , 2017, Earth System Dynamics.

[25]  C. Field Climate change 2014 : impacts, adaptation and vulnerability : Working Group II contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change , 2014 .

[26]  R. Schnur,et al.  Climate-carbon cycle feedback analysis: Results from the C , 2006 .

[27]  James A. Edmonds,et al.  ECONOMIC AND PHYSICAL MODELING OF LAND USE IN GCAM 3.0 AND AN APPLICATION TO AGRICULTURAL PRODUCTIVITY, LAND, AND TERRESTRIAL CARBON , 2014 .

[28]  Atul K. Jain,et al.  Three distinct global estimates of historical land-cover change and land-use conversions for over 200 years , 2012, Frontiers of Earth Science.

[29]  W. Collins,et al.  The Community Earth System Model: A Framework for Collaborative Research , 2013 .

[30]  James W. Jones,et al.  Regional disparities in the beneficial effects of rising CO2 concentrations on crop water productivity , 2016 .

[31]  Peter E. Thornton,et al.  The integrated Earth system model version 1: formulation and functionality , 2015 .

[32]  Peter E. Thornton,et al.  On linking an Earth system model to the equilibrium carbon representation of an economically optimizing land use model , 2014 .

[33]  Pierre Friedlingstein,et al.  Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks , 2014 .

[34]  Peter E. Thornton,et al.  From land use to land cover: restoring the afforestation signal in a coupled integrated assessment–earth system model and the implications for CMIP5 RCP simulations , 2014 .