Slow rate of secondary forest carbon accumulation in the Guianas compared with the rest of the Neotropics.

Secondary forests are a prominent component of tropical landscapes, and they constitute a major atmospheric carbon sink. Rates of carbon accumulation are usually inferred from chronosequence studies, but direct estimates of carbon accumulation based on long-term monitoring of stands are rarely reported. Recent compilations on secondary forest carbon accumulation in the Neotropics are heavily biased geographically as they do not include estimates from the Guiana Shield. We analysed the temporal trajectory of aboveground carbon accumulation and floristic composition at one 25-ha secondary forest site in French Guiana. The site was clearcut in 1976, abandoned thereafter, and one large plot (6.25 ha) has been monitored continuously since. We used Bayesian modelling to assimilate inventory data and simulate the long-term carbon accumulation trajectory. Canopy change was monitored using two aerial lidar surveys conducted in 2009 and 2017. We compared the dynamics of this site with that of a surrounding old-growth forest. Finally, we compared our results with that from secondary forests in Costa Rica, which is one of the rare long-term monitoring programs reaching a duration comparable to our study. Twenty years after abandonment, aboveground carbon stock was 64.2 [95% credibility interval: 46.4;89.0] MgC/ha, and this stock increased to 101.3 [78.7;128.5] MgC/ha twenty years later. The time to accumulate half of the mean aboveground carbon stored in the nearby old-growth forest (185.6 [155.9;200.2] MgC/ha) was estimated at 35.0 [20.9;55.9] years. During the first 40 years, the contribution of the long-lived pioneer species Xylopia nitida, Goupia glabra and Laetia procera to the aboveground carbon stock increased continuously. Secondary forest mean-canopy height measured by lidar increased by 1.14 m in eight years, a canopy-height increase consistent with an aboveground carbon accumulation of 7.1 MgC/ha (or 0.89 MgC/ha/yr) during this period. Long-term AGC accumulation rate in Costa Rica was almost twice as fast as at our site in French Guiana. This may reflect higher fertility of Central American forest communities or a better adaptation of the forest tree community to intense and frequent disturbances. This finding may have important consequences for scaling-up carbon uptake estimates to continental scales.

[1]  Annette M. Trierweiler,et al.  Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession. , 2019, The New phytologist.

[2]  José Luis Hernández-Stefanoni,et al.  Wet and dry tropical forests show opposite successional pathways in wood density but converge over time , 2019, Nature Ecology & Evolution.

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

[4]  D. Purves,et al.  Beyond the fast-slow continuum: demographic dimensions structuring a tropical tree community. , 2018, Ecology letters.

[5]  M. Keller,et al.  Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest , 2018 .

[6]  Erle C. Ellis,et al.  The spatial and temporal domains of modern ecology , 2018, Nature Ecology & Evolution.

[7]  J. Blair,et al.  Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark , 2018, Global change biology.

[8]  Andreas Huth,et al.  Spatial heterogeneity of biomass and forest structure of the Amazon rain forest: Linking remote sensing, forest modelling and field inventory , 2017 .

[9]  J. Chave,et al.  An individual-based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications , 2017 .

[10]  Grégoire Vincent,et al.  Mapping plant area index of tropical evergreen forest by airborne laser scanning. A cross-validation study using LAI2200 optical sensor , 2017 .

[11]  J. Chave,et al.  biomass: an r package for estimating above‐ground biomass and its uncertainty in tropical forests , 2017 .

[12]  F. Bongers,et al.  Demographic drivers of functional composition dynamics. , 2017, Ecology.

[13]  J. Chave,et al.  Quantifying micro-environmental variation in tropical rainforest understory at landscape scale by combining airborne LiDAR scanning and a sensor network , 2017, Annals of Forest Science.

[14]  J. Peñuelas,et al.  Nutrient-cycling mechanisms other than the direct absorption from soil may control forest structure and dynamics in poor Amazonian soils , 2017, Scientific Reports.

[15]  F. Bongers,et al.  Multiple successional pathways in human‐modified tropical landscapes: new insights from forest succession, forest fragmentation and landscape ecology research , 2017, Biological reviews of the Cambridge Philosophical Society.

[16]  R. Dubayah,et al.  Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure mapping , 2016 .

[17]  Liviu Theodor Ene,et al.  Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data , 2016 .

[18]  Susan G. Letcher,et al.  Carbon sequestration potential of second-growth forest regeneration in the Latin American tropics , 2016, Science Advances.

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

[20]  J. Chave,et al.  Causes of variation in leaf-level drought tolerance within an Amazonian forest , 2016 .

[21]  Stephanie A. Bohlman,et al.  Dominance of the suppressed: Power-law size structure in tropical forests , 2016, Science.

[22]  R. Houghton,et al.  A role for tropical forests in stabilizing atmospheric CO 2 , 2015 .

[23]  Thuy Le Toan,et al.  Computer and remote‐sensing infrastructure to enhance large‐scale testing of individual‐based forest models , 2015 .

[24]  O. Phillips,et al.  Using repeated small-footprint LiDAR acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest , 2015 .

[25]  G. B. Williamson,et al.  Successional dynamics in Neotropical forests are as uncertain as they are predictable , 2015, Proceedings of the National Academy of Sciences.

[26]  Matthew F. McCabe,et al.  Recent reversal in loss of global terrestrial biomass , 2015 .

[27]  R. Chazdon,et al.  Demographic drivers of tree biomass change during secondary succession in northeastern Costa Rica. , 2015, Ecological applications : a publication of the Ecological Society of America.

[28]  Miguel Martínez-Ramos,et al.  Testing Chronosequences through Dynamic Approaches: Time and Site Effects on Tropical Dry Forest Succession , 2015 .

[29]  R. Chazdon,et al.  Radial changes in wood specific gravity of tropical trees: inter- and intraspecific variation during secondary succession , 2015 .

[30]  B. Nelson,et al.  Improved allometric models to estimate the aboveground biomass of tropical trees , 2014, Global change biology.

[31]  K. Willis,et al.  Recovery and resilience of tropical forests after disturbance , 2014, Nature Communications.

[32]  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.

[33]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[34]  Maxim Neumann,et al.  Detecting tropical forest biomass dynamics from repeated airborne lidar measurements , 2013 .

[35]  Sandra Englhart,et al.  Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets , 2013, Remote. Sens..

[36]  Corinne Le Quéré,et al.  Carbon emissions from land use and land-cover change , 2012 .

[37]  Shaun Quegan,et al.  Forest biomass and the science of inventory from space , 2012 .

[38]  G. Asner,et al.  Scale-dependence of aboveground carbon accumulation in secondary forests of Panama: A test of the intermediate peak hypothesis , 2012 .

[39]  J. Terborgh,et al.  Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate , 2012 .

[40]  Yadvinder Malhi,et al.  The productivity, metabolism and carbon cycle of tropical forest vegetation , 2012 .

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

[42]  Sean C. Thomas,et al.  A Reassessment of Carbon Content in Tropical Trees , 2011, PloS one.

[43]  L. Blanc,et al.  Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests , 2011 .

[44]  C. E. M. Silva,et al.  Photosynthetic traits and water use of tree species growing on abandoned pasture in different periods of precipitation in Amazonia , 2011, Photosynthetica.

[45]  W. Salas,et al.  Benchmark map of forest carbon stocks in tropical regions across three continents , 2011, Proceedings of the National Academy of Sciences.

[46]  G. B. Williamson,et al.  Contrasting community compensatory trends in alternative successional pathways in central Amazonia , 2011 .

[47]  G. Hurtt,et al.  Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica , 2009 .

[48]  J. Chave,et al.  Dynamics of aboveground carbon stocks in a selectively logged tropical forest. , 2009, Ecological applications : a publication of the Ecological Society of America.

[49]  A. Chao,et al.  Resilience of tropical rain forests: tree community reassembly in secondary forests. , 2009, Ecology letters.

[50]  J. Chave,et al.  Towards a Worldwide Wood Economics Spectrum 2 . L E a D I N G D I M E N S I O N S I N W O O D F U N C T I O N , 2022 .

[51]  Frans Bongers,et al.  Above-ground biomass and productivity in a rain forest of eastern South America , 2008, Journal of Tropical Ecology.

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

[53]  T. Feldpausch,et al.  Secondary forest growth deviation from chronosequence predictions in central Amazonia , 2007 .

[54]  Y. Shimabukuro,et al.  Spatial patterns and fire response of recent Amazonian droughts , 2007 .

[55]  Susan G. Letcher,et al.  Rates of change in tree communities of secondary Neotropical forests following major disturbances , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[56]  M. Peña-Claros.  Changes in Forest Structure and Species Composition during Secondary Forest Succession in the Bolivian Amazon1 , 2003 .

[57]  R. Chazdon.  Tropical forest recovery: legacies of human impact and natural disturbances , 2003 .

[58]  J. Boone Kauffman,et al.  BIOMASS, CARBON, AND NUTRIENT DYNAMICS OF SECONDARY FORESTS IN A HUMID TROPICAL REGION OF MÉXICO , 1999 .

[59]  B. Finegan.  Pattern and process in neotropical secondary rain forests: the first 100 years of succession. , 1996, Trends in ecology & evolution.

[60]  J. Sarrailh.  L'opération ECEREX. Etudes sur la mise en valeur de l'écosystème forestier guyanais après déboisement. Le point sur les recherches en cours , 1989 .

[61]  J. Saldarriaga,et al.  LONG-TERM CHRONOSEQUENCE OF FOREST SUCCESSION IN THE UPPER RIO NEGRO OF COLOMBIA AND VENEZUELA , 1988 .

[62]  H. D. Foresta.  Hétérogénéité de la végétation pionnière en forêt tropicale humide: exemple d'une coupe papetière en forêt guyanaise , 1983 .

[63]  G. Lechon.  Régénération forestière en Guyane française : recrû sur 25 ha de coupe papetière de forêt dense humide (ARBOCEL) , 1982 .

[64]  C. Jordan.  THE NUTRIENT BALANCE OF AN AMAZONIAN RAIN FOREST , 1982 .

[65]  H. Zwetsloot.  Forest succession on a deforested area in Suriname , 1981 .

[66]  A. Gómez-pompa,et al.  Successional Studies of a Rain Forest in Mexico , 1981 .

[67]  R. Boulet,et al.  L'écosystème forestier guyanais : étude écologique de son évolution sous l'effet des transformations en vue de sa mise en valeur , 1980 .