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      African Savanna-Forest Boundary Dynamics: A 20-Year Study

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          Abstract

          Recent studies show widespread encroachment of forest into savannas with important consequences for the global carbon cycle and land-atmosphere interactions. However, little research has focused on in situ measurements of the successional sequence of savanna to forest in Africa. Using long-term inventory plots we quantify changes in vegetation structure, above-ground biomass (AGB) and biodiversity of trees ≥10 cm diameter over 20 years for five vegetation types: savanna; colonising forest (F1), monodominant Okoume forest (F2); young Marantaceae forest (F3); and mixed Marantaceae forest (F4) in Lopé National Park, central Gabon, plus novel 3D terrestrial laser scanning (TLS) measurements to assess forest structure differences. Over 20 years no plot changed to a new stage in the putative succession, but F1 forests strongly moved towards the structure, AGB and diversity of F2 forests. Overall, savanna plots showed no detectable change in structure, AGB or diversity using this method, with zero trees ≥10 cm diameter in 1993 and 2013. F1 and F2 forests increased in AGB, mainly as a result of adding recruited stems (F1) and increased Basal Area (F2), whereas F3 and F4 forests did not change substantially in structure, AGB or diversity. Critically, the stability of the F3 stage implies that this stage may be maintained for long periods. Soil carbon was low, and did not show a successional gradient as for AGB and diversity. TLS vertical plant profiles showed distinctive differences amongst the vegetation types, indicating that this technique can improve ecological understanding. We highlight two points: (i) as forest colonises, changes in biodiversity are much slower than changes in forest structure or AGB; and (ii) all forest types store substantial quantities of carbon. Multi-decadal monitoring is likely to be required to assess the speed of transition between vegetation types.

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          Towards a worldwide wood economics spectrum.

          Wood performs several essential functions in plants, including mechanically supporting aboveground tissue, storing water and other resources, and transporting sap. Woody tissues are likely to face physiological, structural and defensive trade-offs. How a plant optimizes among these competing functions can have major ecological implications, which have been under-appreciated by ecologists compared to the focus they have given to leaf function. To draw together our current understanding of wood function, we identify and collate data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry. We then show how wood traits are related to one another, highlighting functional trade-offs, and to ecological and demographic plant features (growth form, growth rate, latitude, ecological setting). We suggest that, similar to the manifold that tree species leaf traits cluster around the 'leaf economics spectrum', a similar 'wood economics spectrum' may be defined. We then discuss the biogeography, evolution and biogeochemistry of the spectrum, and conclude by pointing out the major gaps in our current knowledge of wood functional traits.
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            Neotropical secondary forest succession: changes in structural and functional characteristics

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              Increasing carbon storage in intact African tropical forests.

              The response of terrestrial vegetation to a globally changing environment is central to predictions of future levels of atmospheric carbon dioxide. The role of tropical forests is critical because they are carbon-dense and highly productive. Inventory plots across Amazonia show that old-growth forests have increased in carbon storage over recent decades, but the response of one-third of the world's tropical forests in Africa is largely unknown owing to an absence of spatially extensive observation networks. Here we report data from a ten-country network of long-term monitoring plots in African tropical forests. We find that across 79 plots (163 ha) above-ground carbon storage in live trees increased by 0.63 Mg C ha(-1) yr(-1) between 1968 and 2007 (95% confidence interval (CI), 0.22-0.94; mean interval, 1987-96). Extrapolation to unmeasured forest components (live roots, small trees, necromass) and scaling to the continent implies a total increase in carbon storage in African tropical forest trees of 0.34 Pg C yr(-1) (CI, 0.15-0.43). These reported changes in carbon storage are similar to those reported for Amazonian forests per unit area, providing evidence that increasing carbon storage in old-growth forests is a pan-tropical phenomenon. Indeed, combining all standardized inventory data from this study and from tropical America and Asia together yields a comparable figure of 0.49 Mg C ha(-1) yr(-1) (n = 156; 562 ha; CI, 0.29-0.66; mean interval, 1987-97). This indicates a carbon sink of 1.3 Pg C yr(-1) (CI, 0.8-1.6) across all tropical forests during recent decades. Taxon-specific analyses of African inventory and other data suggest that widespread changes in resource availability, such as increasing atmospheric carbon dioxide concentrations, may be the cause of the increase in carbon stocks, as some theory and models predict.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 June 2016
                2016
                : 11
                : 6
                : e0156934
                Affiliations
                [1 ]Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
                [2 ]Center for Macroecology, Evolution and Climate, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
                [3 ]Agence Nationale des Parcs Nationaux, BP 20379, Libreville, Gabon
                [4 ]Institute de Recherche en Ecologie Tropicale, BP13354, Libreville, Gabon
                [5 ]School of Natural Sciences, University of Stirling, FK9 4LA, Stirling, Scotland, United Kingdom
                [6 ]Earth Observations, Climate and Optical Group, National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, United Kingdom
                [7 ]Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Wageningen, The Netherlands
                [8 ]UK NERC National Centre for Earth Observation (NCEO), Michael Atiyah Building, University of Leicester, University Road, LE1 7RH, Leicester, United Kingdom
                [9 ]School of Geography, University of Leeds, LS2 9JT, Leeds, United Kingdom
                Technical University in Zvolen, SLOVAKIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: LJTW SLL. Performed the experiments: AC-S KC AB MD LJTW. Analyzed the data: AC-S KC AB MG JLG-D. Contributed reagents/materials/analysis tools: AC-S KC AB MG KJJ KA SLL. Wrote the paper: AC-S. Designed the plot sampling strategy and collected census 1 data: LJTW. Collected census 2 data: AC-S. Collected the TLS data: KC MD AB. Provided input on manuscript: AC-S KC AB MD LJTW MG KJJ KA JLG-D SLL.

                Article
                PONE-D-15-42236
                10.1371/journal.pone.0156934
                4919100
                27336632
                9608ff25-e760-4b0f-a253-7544a70125bf
                © 2016 Cuni-Sanchez et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 October 2015
                : 20 May 2016
                Page count
                Figures: 6, Tables: 5, Pages: 23
                Funding
                Plot establishment was funded by the Wildlife Conservation Society, the EU-funded ECOFAC program, and the University of Stirling, and the current study was funded by ANPN via a grant from OLAM Gabon. S.L. Lewis was funded by the EU FP7 GEOCARBON project and EU ERC T-FORCES project. K.J. Jeffery and L.J.T. White were funded by ANPN. K. Abernethy was funded by University of Stirling, and M. Disney and A. Burt were funded in part by the UK Natural Environment Research Council, which, through the National Centre for Earth Observation (NCEO) provided some travel funds. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Terrestrial Environments
                Forests
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Terrestrial Environments
                Grasslands
                Biology and Life Sciences
                Organisms
                Plants
                Trees
                Biology and Life Sciences
                Ecology
                Forest Ecology
                Ecology and Environmental Sciences
                Ecology
                Forest Ecology
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Wood
                Ecology and Environmental Sciences
                Wildfires
                Custom metadata
                The individual stem data for every plot used in this study, and the soil data are available from ForestPlots.net ( http://dx.doi.org/10.5521/FORESTPLOTS.NET/2016_1).

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                Uncategorized

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