Quantifying long-term changes in carbon stocks and forest structure from Amazon forest degradation

Despite sustained declines in Amazon deforestation, forest degradation from logging and fire continues to threaten carbon stocks, habitat, and biodiversity in frontier forests along the Amazon arc of deforestation. Limited data on the magnitude of carbon losses and rates of carbon recovery following forest degradation have hindered carbon accounting efforts and contributed to incomplete national reporting to reduce emissions from deforestation and forest degradation (REDD+). We combined annual time series of Landsat imagery and high-density airborne lidar data to characterize the variability, magnitude, and persistence of Amazon forest degradation impacts on aboveground carbon density (ACD) and canopy structure. On average, degraded forests contained 45.1% of the carbon stocks in intact forests, and differences persisted even after 15 years of regrowth. In comparison to logging, understory fires resulted in the largest and longest-lasting differences in ACD. Heterogeneity in burned forest structure varied by fire severity and frequency. Forests with a history of one, two, and three or more fires retained only 54.4%, 25.2%, and 7.6% of intact ACD, respectively, when measured after a year of regrowth. Unlike the additive impact of successive fires, selective logging before burning did not explain additional variability in modeled ACD loss and recovery of burned forests. Airborne lidar also provides quantitative measures of habitat structure that can aid the estimation of co-benefits of avoided degradation. Notably, forest carbon stocks recovered faster than attributes of canopy structure that are critical for biodiversity in tropical forests, including the abundance of tall trees. We provide the first comprehensive look-up table of emissions factors for specific degradation pathways at standard reporting intervals in the Amazon. Estimated carbon loss and recovery trajectories provide an important foundation for assessing the long-term contributions from forest degradation to regional carbon cycling and advance our understanding of the current state of frontier forests.

[1]  D. Skole,et al.  Multi‐temporal assessment of selective logging in the Brazilian Amazon using Landsat data , 2007 .

[2]  Susan E. Trumbore,et al.  Response of tree biomass and wood litter to disturbance in a Central Amazon forest , 2004, Oecologia.

[3]  Michael F. Allen,et al.  Biomass and carbon accumulation in a fire chronosequence of a seasonally dry tropical forest , 2007 .

[4]  Philip A. Martin,et al.  Carbon pools recover more quickly than plant biodiversity in tropical secondary forests , 2013, Proceedings of the Royal Society B: Biological Sciences.

[5]  Philippe Ciais,et al.  Projected strengthening of Amazonian dry season by constrained climate model simulations , 2015 .

[6]  R. Houghton,et al.  Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon , 2000, Nature.

[7]  Dar A. Roberts,et al.  Multitemporal Analysis of Degraded Forests in the Southern Brazilian Amazon , 2005 .

[8]  Pete Smith,et al.  Natural climate solutions , 2017, Proceedings of the National Academy of Sciences.

[9]  Scott J. Goetz,et al.  Regional-scale application of lidar: Variation in forest canopy structure across the southeastern US , 2014 .

[10]  F. Wagner,et al.  Good Practice Guidance for Land Use, Land-Use Change and Forestry , 2003 .

[11]  J. Balch,et al.  Scenarios in tropical forest degradation: carbon stock trajectories for REDD+ , 2017, Carbon Balance and Management.

[12]  P. Brando,et al.  Negative fire feedback in a transitional forest of southeastern Amazonia , 2008 .

[13]  C. Peres,et al.  Temporal Decay in Timber Species Composition and Value in Amazonian Logging Concessions , 2016, PloS one.

[14]  M. Keller,et al.  Selective Logging in the Brazilian Amazon , 2005, Science.

[15]  S. Goetz,et al.  Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps , 2012 .

[16]  Adilson Pacheco de Souza,et al.  CLASSIFICAÇÃO CLIMÁTICA E BALANÇO HÍDRICO CLIMATOLÓGICO NO ESTADO DE MATO GROSSO , 2013 .

[17]  M. Keller,et al.  Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity , 2016, Global change biology.

[18]  F. Rovero,et al.  Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics , 2013 .

[19]  E. Davidson,et al.  The Susceptibility of Southeastern Amazon Forests to Fire: Insights from a Large-Scale Burn Experiment , 2015 .

[20]  R. DeFries,et al.  Understorey fire frequency and the fate of burned forests in southern Amazonia , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.

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

[22]  B. Poulter,et al.  Environmental change and the carbon balance of Amazonian forests , 2014, Biological reviews of the Cambridge Philosophical Society.

[23]  R. B. Jackson,et al.  A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.

[24]  Gregory P. Asner,et al.  Sustainability of Selective Logging of Upland Forests in the Brazilian Amazon: Carbon Budgets and Remote Sensing as Tools for Evaluation of Logging Effects , 2003 .

[25]  Luana S. Basso,et al.  Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements , 2014, Nature.

[26]  D. Nepstad,et al.  Forest Understory Fire in the Brazilian Amazon in ENSO and Non-ENSO Years: Area Burned and Committed Carbon Emissions , 2006 .

[27]  F. Putz,et al.  Testing the Amazon savannization hypothesis: fire effects on invasion of a neotropical forest by native cerrado and exotic pasture grasses , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.

[28]  Atul K. Jain,et al.  Global Carbon Budget 2016 , 2016 .

[29]  C. Field,et al.  Projections of future meteorological drought and wet periods in the Amazon , 2015, Proceedings of the National Academy of Sciences.

[30]  E. Davidson,et al.  Abrupt increases in Amazonian tree mortality due to drought–fire interactions , 2014, Proceedings of the National Academy of Sciences.

[31]  M. Keller,et al.  Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon , 2016 .

[32]  Arief Wijaya,et al.  An integrated pan‐tropical biomass map using multiple reference datasets , 2016, Global change biology.

[33]  M. Keller,et al.  CANOPY DAMAGE AND RECOVERY AFTER SELECTIVE LOGGING IN AMAZONIA: FIELD AND SATELLITE STUDIES , 2004 .

[34]  Susan G. Letcher,et al.  Biomass resilience of Neotropical secondary forests , 2016, Nature.

[35]  R. B. Jackson,et al.  CO 2 emissions from forest loss , 2009 .

[36]  Y. Shimabukuro,et al.  The Incidence of Fire in Amazonian Forests with Implications for REDD , 2010, Science.

[37]  Michael Keller,et al.  Post-Fire Changes in Forest Biomass Retrieved by Airborne LiDAR in Amazonia , 2016, Remote. Sens..

[38]  Juan Carlos Castilla-Rubio,et al.  Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm , 2016, Proceedings of the National Academy of Sciences.

[39]  J. Randerson,et al.  Forecasting Fire Season Severity in South America Using Sea Surface Temperature Anomalies , 2011, Science.

[40]  L. Aragão,et al.  A large‐scale field assessment of carbon stocks in human‐modified tropical forests , 2014, Global change biology.

[41]  B. Bolker,et al.  Fire‐induced tree mortality in a neotropical forest: the roles of bark traits, tree size, wood density and fire behavior , 2012 .

[42]  I. Vieira,et al.  Ecological impacts of selective logging in the Brazilian Amazon: a case study from the Paragominas region of the state of Para , 1989 .

[43]  B. Griscom,et al.  Sustaining conservation values in selectively logged tropical forests: the attained and the attainable , 2012 .

[44]  Steven F. Oberbauer,et al.  Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests , 2016 .

[45]  D. Nepstad,et al.  MICROMETEOROLOGICAL AND CANOPY CONTROLS OF FIRE SUSCEPTIBILITY IN A FORESTED AMAZON LANDSCAPE , 2005 .

[46]  C. Nobre,et al.  Land use change emission scenarios: anticipating a forest transition process in the Brazilian Amazon , 2016, Global change biology.

[47]  S. Goetz,et al.  Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+ , 2015 .

[48]  J. Canadell,et al.  Managing Forests for Climate Change Mitigation , 2008, Science.

[49]  G. Henebry,et al.  Remote sensing of vegetation 3-D structure for biodiversity and habitat: Review and implications for lidar and radar spaceborne missions , 2009 .

[50]  R. DeFries,et al.  Mapping canopy damage from understory fires in Amazon forests using annual time series of Landsat and MODIS data , 2011 .

[51]  Robert K. Colwell,et al.  Species Loss and Aboveground Carbon Storage in a Tropical Forest , 2005, Science.

[52]  M. Scheffer,et al.  Floodplains as an Achilles’ heel of Amazonian forest resilience , 2017, Proceedings of the National Academy of Sciences.

[53]  C. Uhl,et al.  FIRE IN AMAZONIAN SELECTIVELY LOGGED RAIN FOREST AND THE POTENTIAL FOR FIRE REDUCTION , 1997 .

[54]  J. Powers,et al.  Aboveground biomass in mature and secondary seasonally dry tropical forests: A literature review and global synthesis , 2012 .

[55]  Jianchu Xu,et al.  The forgotten D: challenges of addressing forest degradation in complex mosaic landscapes under REDD+ , 2012 .

[56]  José M. C. Pereira,et al.  Synergy between land use and climate change increases future fire risk in Amazon forests , 2017 .

[57]  J. Barlow,et al.  Large tree mortality and the decline of forest biomass following Amazonian wildfires. , 2002 .