Forest biomass, productivity and carbon cycling along a rainfall gradient in West Africa

Net Primary Productivity (NPP) is one of the most important parameters in describing the functioning of any ecosystem and yet it arguably remains a poorly quantified and understood component of carbon cycling in tropical forests, especially outside of the Americas. We provide the first comprehensive analysis of NPP and its carbon allocation to woody, canopy and root growth components at contrasting lowland West African forests spanning a rainfall gradient. Using a standardized methodology to study evergreen (EF), semi‐deciduous (SDF), dry forests (DF) and woody savanna (WS), we find that (i) climate is more closely related with above and belowground C stocks than with NPP (ii) total NPP is highest in the SDF site, then the EF followed by the DF and WS and that (iii) different forest types have distinct carbon allocation patterns whereby SDF allocate in excess of 50% to canopy production and the DF and WS sites allocate 40%–50% to woody production. Furthermore, we find that (iv) compared with canopy and root growth rates the woody growth rate of these forests is a poor proxy for their overall productivity and that (v) residence time is the primary driver in the productivity‐allocation‐turnover chain for the observed spatial differences in woody, leaf and root biomass across the rainfall gradient. Through a systematic assessment of forest productivity we demonstrate the importance of directly measuring the main components of above and belowground NPP and encourage the establishment of more permanent carbon intensive monitoring plots across the tropics.

[1]  O. Phillips,et al.  The variation of productivity and its allocation along a tropical elevation gradient: a whole carbon budget perspective. , 2017, The New phytologist.

[2]  J. Peñuelas,et al.  Evaluating the convergence between eddy-covariance and biometric methods for assessing carbon budgets of forests , 2016, Nature Communications.

[3]  H. Pleijel,et al.  Carbon stocks and dynamics at different successional stages in an Afromontane tropical forest , 2016 .

[4]  A. Kerkhoff,et al.  Corrigendum: Convergence of terrestrial plant production across global climate gradients , 2016, Nature.

[5]  K. Anderson‐Teixeira,et al.  Carbon dynamics of mature and regrowth tropical forests derived from a pantropical database (TropForC‐db) , 2016, Global change biology.

[6]  J. Chave,et al.  Does climate directly influence NPP globally? , 2016, Global change biology.

[7]  Yadvinder Malhi,et al.  The linkages between photosynthesis, productivity, growth and biomass in lowland Amazonian forests , 2015, Global change biology.

[8]  O. Phillips,et al.  Drought impact on forest carbon dynamics and fluxes in Amazonia , 2015, Nature.

[9]  Yadvinder Malhi,et al.  Measuring tropical forest carbon allocation and cycling , 2015 .

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

[11]  A. Kerkhoff,et al.  Convergence of terrestrial plant production across global climate gradients , 2014, Nature.

[12]  A. Timmermann,et al.  Increasing frequency of extreme El Niño events due to greenhouse warming , 2014 .

[13]  O. Phillips,et al.  Disequilibrium and hyperdynamic tree turnover at the forest–cerrado transition zone in southern Amazonia , 2014 .

[14]  Y. Malhi,et al.  The past, present and future of Africa's rainforests , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.

[15]  Sean C. Thomas,et al.  Above-ground biomass and structure of 260 African tropical forests , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.

[16]  R. Fensholt,et al.  Influence of the inter tropical discontinuity on Harmattan dust deposition in Ghana , 2013 .

[17]  Y. Malhi,et al.  Fine root dynamics along an elevational gradient in tropical Amazonian and Andean forests , 2013 .

[18]  O. Phillips,et al.  Residence times of woody biomass in tropical forests , 2013 .

[19]  A. Dai Increasing drought under global warming in observations and models , 2013 .

[20]  K. Saleh,et al.  Comprehensive assessment. , 2012, Nursing older people.

[21]  Y. Malhi,et al.  The allocation of ecosystem net primary productivity in tropical forests , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

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

[23]  Sophie Graefe,et al.  Elevation effects on the carbon budget of tropical mountain forests (S Ecuador): the role of the belowground compartment , 2011 .

[24]  David Kenfack,et al.  Predicting alpha diversity of African rain forests: models based on climate and satellite‐derived data do not perform better than a purely spatial model , 2011 .

[25]  Luiz E. O. C. Aragão,et al.  Net primary productivity allocation and cycling of carbon along a tropical forest elevational transect in the Peruvian Andes , 2010 .

[26]  Ifan G. Hughes,et al.  Measurements and their Uncertainties: A practical guide to modern error analysis , 2010 .

[27]  Charles H. Cannon,et al.  Environmental correlates of tree biomass, basal area, wood specific gravity and stem density gradients in Borneo's tropical forests , 2010 .

[28]  R. Valentini,et al.  The role of soil in storing carbon in tropical rainforests: the case of Ankasa Park, Ghana , 2010, Plant and Soil.

[29]  K. Schepanski,et al.  Dust as a tipping element: The Bodélé Depression, Chad , 2009, Proceedings of the National Academy of Sciences.

[30]  L. Aragão,et al.  Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest , 2009, Proceedings of the National Academy of Sciences.

[31]  O. Phillips,et al.  Above- and below-ground net primary productivity across ten Amazonian forests on contrasting soils , 2009 .

[32]  J. Chambers,et al.  Comprehensive assessment of carbon productivity, allocation and storage in three Amazonian forests , 2009 .

[33]  Sean C. Thomas,et al.  Increasing carbon storage in intact African tropical forests , 2009, Nature.

[34]  E. Wood,et al.  Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations , 2008 .

[35]  Paul R. Martin,et al.  Impacts of climate warming on terrestrial ectotherms across latitude , 2008, Proceedings of the National Academy of Sciences.

[36]  L. Aragão,et al.  Factors controlling spatio‐temporal variation in carbon dioxide efflux from surface litter, roots, and soil organic matter at four rain forest sites in the eastern Amazon , 2007 .

[37]  Marco Conedera,et al.  Correcting non-linearity and slope effects in the estimation of the leaf area index of forests from hemispherical photographs , 2007 .

[38]  G. Paoli,et al.  Soil Nutrients Limit Fine Litter Production and Tree Growth in Mature Lowland Forest of Southwestern Borneo , 2007, Ecosystems.

[39]  Exploring the Likelihood and Reality of MBA Alumni Financial Donations , 2007 .

[40]  M. I C H A E,et al.  Carbon allocation in forest ecosystems , 2007 .

[41]  Michael Nobis,et al.  Automatic thresholding for hemispherical canopy-photographs based on edge detection , 2005 .

[42]  A. Di Fiore,et al.  Variation in wood density determines spatial patterns inAmazonian forest biomass , 2004 .

[43]  J. Terborgh,et al.  The above‐ground coarse wood productivity of 104 Neotropical forest plots , 2004 .

[44]  Y. Malhi,et al.  Spatial patterns and recent trends in the climate of tropical rainforest regions. , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[45]  R. B. Jackson,et al.  A global analysis of root distributions for terrestrial biomes , 1996, Oecologia.

[46]  F. Bongers,et al.  The forests of Upper Guinea: gradients in large species composition , 2004 .

[47]  G. Nabuurs,et al.  LUCF sector good practice guidance , 2003 .

[48]  Jeffrey Q. Chambers,et al.  TROPICAL FORESTS : AN EVALUATION AND SYNTHESIS OF EXISTING FIELD DATA , 2022 .

[49]  Jeffrey Q. Chambers,et al.  MEASURING NET PRIMARY PRODUCTION IN FORESTS: CONCEPTS AND FIELD METHODS , 2001 .

[50]  Jacques Roy,et al.  Terrestrial Primary Productivity: Definitions and Milestones , 2001 .

[51]  J. Randerson,et al.  Primary production of the biosphere: integrating terrestrial and oceanic components , 1998, Science.

[52]  Eileen H. Helmer,et al.  Root biomass allocation in the world's upland forests , 1997, Oecologia.

[53]  M. Harmon,et al.  Decomposition and mass of woody detritus in the dry tropical forests of the Northeastern Yucatan Peninsula, Mexico , 1995 .

[54]  Jing M. Chen,et al.  Quantifying the effect of canopy architecture on optical measurements of leaf area index using two gap size analysis methods , 1995, IEEE Trans. Geosci. Remote. Sens..

[55]  A. R. Mermut,et al.  Deposition of Harmattan dust and its influence on base saturation of soils in northern Ghana , 1991 .

[56]  S. Russel,et al.  Dictionary of forest structural terminology , 1988 .

[57]  P. G. Murphy Net Primary Productivity in Tropical Terrestral Ecosystems , 1975 .

[58]  Jb Miller,et al.  A formula for average foliage density , 1967 .

[59]  Eville Gorham,et al.  Litter Production in Forests of the World , 1964 .