Tracking Changes in Vegetation Structure Following Fire in the Cerrado Biome Using ICESat‐2

Fires mediate grass and tree competition and alter vegetation structure in savanna ecosystems, with important implications for regional carbon, water, and energy fluxes. However, direct observations of how fire frequency influences vegetation structure and post‐fire recovery have been limited to small experimental field studies. Here, we combined lidar‐derived canopy height and canopy cover from NASA's Ice, Cloud, and land Elevation Satellite‐2 with over two decades of burned area data from the Moderate Resolution Imaging Spectroradiometer sensors to provide the first biome‐wide estimates of post‐fire changes in canopy structure for major vegetation types in the Cerrado (Brazil). Mean canopy height decreased with increasing burn frequency for all natural cover types, with the greatest decline observed for forests and savannas. The ability to separate changes in fractional canopy cover from height growth using lidar data highlighted the long‐time scales of vegetation recovery in forests and savannas after fire. For forests in medium and high precipitation areas, canopy cover returned to unburned values within 5 years following fire, whereas mean canopy height remained below unburned values, even in the oldest fires (14–20 years). Recovery times increased with decreasing rainfall, with average values of both fractional cover and canopy height below unburned areas after 14–20 years for savannas. We observed gradual recovery of vegetation height and cover over decades, even in mesic or wet savanna regions like the Cerrado. Infrequent fire activity, particularly in areas with greater land management, influences ecosystem structure across the biome, with important consequences for biodiversity conservation.

[1]  A. Alencar,et al.  Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning , 2022, Remote. Sens..

[2]  S. Sitch,et al.  Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake , 2022, Proceedings of the National Academy of Sciences of the United States of America.

[3]  J. Singh,et al.  Limited increases in savanna carbon stocks over decades of fire suppression , 2022, Nature.

[4]  Cibele Hummel do Amaral,et al.  Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data , 2022, Remote Sensing of Environment.

[5]  Xiaoxiao Zhu,et al.  Accuracy Assessment of ICESat-2 Ground Elevation and Canopy Height Estimates in Mangroves , 2021, IEEE Geoscience and Remote Sensing Letters.

[6]  S. Popescu,et al.  Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones , 2021, Remote Sensing of Environment.

[7]  M. Bustamante,et al.  Long term post-fire recovery of woody plants in savannas of central Brazil , 2021 .

[8]  J. Pereira,et al.  Putting fire on the map of Brazilian savanna ecoregions. , 2021, Journal of environmental management.

[9]  Gustavo Eduardo Marcatti,et al.  Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data , 2021, Forest Ecology and Management.

[10]  W. Bond,et al.  Pathways of savannization in a mesic African savanna-forest mosaic following an extreme fire , 2021, bioRxiv.

[11]  M. Hansen,et al.  Rapid expansion of human impact on natural land in South America since 1985 , 2021, Science Advances.

[12]  J. Randerson,et al.  The role of fire in global forest loss dynamics , 2021, Global change biology.

[13]  Marco Assis Borges,et al.  Intraseasonal variability of greenhouse gas emission factors from biomass burning in the Brazilian Cerrado , 2021, Biogeosciences.

[14]  R. Dubayah,et al.  Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping , 2021, Remote Sensing of Environment.

[15]  A. Alencar,et al.  An alternative approach for mapping burn scars using Landsat imagery, Google Earth Engine, and Deep Learning in the Brazilian Savanna , 2021 .

[16]  N. Kurtz,et al.  Comparisons of Satellite and Airborne Altimetry With Ground‐Based Data From the Interior of the Antarctic Ice Sheet , 2020, Geophysical Research Letters.

[17]  J. Pereira,et al.  A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas , 2021 .

[18]  Joanne C. White,et al.  Validation of ICESat-2 terrain and canopy heights in boreal forests , 2020 .

[19]  C. Klink,et al.  The Role of Vegetation on the Dynamics of Water and Fire in the Cerrado Ecosystems: Implications for Management and Conservation , 2020, Plants.

[20]  M. Hansen,et al.  Mapping global forest canopy height through integration of GEDI and Landsat data , 2020 .

[21]  Yogendra K. Karna,et al.  Persistent changes in the horizontal and vertical canopy structure of fire-tolerant forests after severe fire as quantified using multi-temporal airborne lidar data , 2020 .

[22]  J. Pereira,et al.  Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado , 2020 .

[23]  Pedro Walfir M. Souza Filho,et al.  Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine , 2020, Remote. Sens..

[24]  R. B. Jackson,et al.  Decadal changes in fire frequencies shift tree communities and functional traits , 2020, Nature Ecology & Evolution.

[25]  A. Fidelis Is fire always the “bad guy”? , 2020 .

[26]  Sorin C. Popescu,et al.  Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example , 2020, Remote. Sens..

[27]  C. Silva,et al.  Spatial distribution of soil carbon stocks in the Cerrado biome of Minas Gerais, Brazil , 2020 .

[28]  Meng Liu,et al.  Feasibility of Burned Area Mapping Based on ICESAT-2 Photon Counting Data , 2019, Remote. Sens..

[29]  Thorsten Markus,et al.  The Ice, Cloud, and Land Elevation Satellite - 2 Mission: A Global Geolocated Photon Product Derived From the Advanced Topographic Laser Altimeter System. , 2019, Remote sensing of environment.

[30]  D. Morton,et al.  Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire. , 2019, Ecology letters.

[31]  O. Phillips,et al.  Extensive 21st‐Century Woody Encroachment in South America's Savanna , 2019, Geophysical Research Letters.

[32]  Richard J. Williams,et al.  Rapid response of habitat structure and above-ground carbon storage to altered fire regimes in tropical savanna , 2019, Biogeosciences.

[33]  Paul Duffy,et al.  Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR , 2019, Remote. Sens..

[34]  E. Chuvieco,et al.  Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa , 2019, Remote Sensing of Environment.

[35]  Amy L. Neuenschwander,et al.  The ATL08 land and vegetation product for the ICESat-2 Mission , 2019, Remote Sensing of Environment.

[36]  A. P. Williams,et al.  Global Emergence of Anthropogenic Climate Change in Fire Weather Indices , 2019, Geophysical Research Letters.

[37]  D. Roy,et al.  The Collection 6 MODIS burned area mapping algorithm and product , 2018, Remote sensing of environment.

[38]  B. Soares-Filho,et al.  Compliance to Brazil's Forest Code will not protect biodiversity and ecosystem services , 2018 .

[39]  G. Asner,et al.  On the relationship between fire regime and vegetation structure in the tropics. , 2018, The New phytologist.

[40]  J. Touboul,et al.  On the complex dynamics of savanna landscapes , 2018, Proceedings of the National Academy of Sciences.

[41]  F. Kawakubo,et al.  Satellite observations for describing fire patterns and climate-related fire drivers in the Brazilian savannas , 2018 .

[42]  R. B. Jackson,et al.  Fire frequency drives decadal changes in soil carbon and nitrogen and ecosystem productivity , 2017, Nature.

[43]  José M. C. Pereira,et al.  Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires , 2017, Remote. Sens..

[44]  Giselda Durigan,et al.  The biodiversity cost of carbon sequestration in tropical savanna , 2017, Science Advances.

[45]  J. Randerson,et al.  A human-driven decline in global burned area , 2017, Science.

[46]  B. Soares-Filho,et al.  Moment of truth for the Cerrado hotspot , 2017, Nature Ecology &Evolution.

[47]  G. Fernandes,et al.  Regeneration after fire in campo rupestre: Short- and long-term vegetation dynamics , 2016 .

[48]  Stephen Sitch,et al.  The Fire Modeling Intercomparison Project (FireMIP), phase 1: Experimental and analytical protocols with detailed model descriptions , 2016 .

[49]  G. Durigan,et al.  Edge effects in savanna fragments: a case study in the cerrado , 2015 .

[50]  S. Sorooshian,et al.  Early Examples from the Integrated Multi-Satellite Retrievals for GPM (IMERG) , 2014 .

[51]  B. Marimon,et al.  Post-fire recovery of savanna vegetation from rocky outcrops , 2014 .

[52]  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.

[53]  I. Oliveras,et al.  Effects of fire regimes on herbaceous biomass and nutrient dynamics in the Brazilian savanna , 2013 .

[54]  J. Randerson,et al.  Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4) , 2013 .

[55]  Laerte Guimarães Ferreira,et al.  Distribution Patterns of Burned Areas in the Brazilian Biomes: An Analysis Based on Satellite Data for the 2002-2010 Period , 2012, Remote. Sens..

[56]  S. Levin,et al.  The Global Extent and Determinants of Savanna and Forest as Alternative Biome States , 2011, Science.

[57]  M. Scheffer,et al.  Global Resilience of Tropical Forest and Savanna to Critical Transitions , 2011, Science.

[58]  W. Bond,et al.  Deciphering the distribution of the savanna biome. , 2011, The New phytologist.

[59]  V. Pivello The Use of Fire in the Cerrado and Amazonian Rainforests of Brazil: Past and Present , 2011 .

[60]  J. Randerson,et al.  Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009) , 2010 .

[61]  Izak P J Smit,et al.  Effects of fire on woody vegetation structure in African savanna. , 2010, Ecological applications : a publication of the Ecological Society of America.

[62]  Douglas C. Morton,et al.  Nitrogen deposition in tropical forests from savanna and deforestation fires , 2010 .

[63]  Scott J. Goetz,et al.  Synergistic use of spaceborne lidar and optical imagery for assessing forest disturbance: An Alaska case study , 2010 .

[64]  Stephen A. Smith,et al.  The Origins of C4 Grasslands: Integrating Evolutionary and Ecosystem Science , 2010, Science.

[65]  S. Frolking,et al.  Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure , 2009 .

[66]  Christopher I. Roos,et al.  Fire in the Earth System , 2009, Science.

[67]  E. Johnson,et al.  Testing the assumptions of chronosequences in succession. , 2008, Ecology letters.

[68]  Simon Scheiter,et al.  Effects of four decades of fire manipulation on woody vegetation structure in Savanna. , 2007, Ecology.

[69]  D. Beerling,et al.  The origin of the savanna biome , 2006 .

[70]  N. Glenn,et al.  LiDAR measurement of sagebrush steppe vegetation heights , 2006 .

[71]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[72]  F. Woodward,et al.  The global distribution of ecosystems in a world without fire. , 2004, The New phytologist.

[73]  C. Hopkinsona,et al.  Errors in LiDAR ground elevation and wetland vegetation height estimates , 2004 .

[74]  M. B. Ramos-Neto,et al.  Lightning Fires in a Brazilian Savanna National Park: Rethinking Management Strategies , 2000, Environmental management.

[75]  A. Moreira Effects of fire protection on savanna structure in Central Brazil , 2000 .

[76]  A. V. Rezende,et al.  Changes in the floristic composition of cerrado sensu stricto in Brazil over a nine-year period , 2000, Journal of Tropical Ecology.

[77]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

[78]  J. Boone Kauffman,et al.  Ecosystem structure in the Brazilian Cerrado: a vegetation gradient of aboveground biomass, root mass and consumption by fire , 1998, Journal of Tropical Ecology.

[79]  J. A. Ratter,et al.  The Brazilian Cerrado Vegetation and Threats to its Biodiversity , 1997 .

[80]  Juan F. Silva,et al.  Savanna Biodiversity and Ecosystem Properties , 1996 .

[81]  J. Boone Kauffman,et al.  Relationships of fire, biomass and nutrient dynamics along a vegetation gradient in the Brazilian Cerrado , 1994 .

[82]  L. Coutinho,et al.  Fire in the Ecology of the Brazilian Cerrado , 1990 .

[83]  Steward T. A. Pickett,et al.  Space-for-Time Substitution as an Alternative to Long-Term Studies , 1989 .