Lopé National Park (LNP) and plots sampled in the north of the park characterised by a savanna-forest mosaic.

<p>Map showing the location of the field site within a landcover map for the year 2000 [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0156934#pone.0156934.ref078" target="_blank">78</a>] adapted from Mitchard et al. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0156934#pone.0156934.ref021" target="_blank">21</a>].</p

Soil characteristics, 0-30cm depth, per forest type, for several weatherable elements.

<p>Soil characteristics, 0-30cm depth, per forest type, for several weatherable elements.</p

Mean vertical profiles per vegetation type.

<p>Mean vertical profiles per vegetation type.</p

African Savanna-Forest Boundary Dynamics: A 20-Year Study - Fig 5

<p><b>Above ground biomass (AGB in Mg ha^-1), in relation to basal area (BA in m² ha^-1), stem density (SD in number stems ha^-1) and wood mass density weighted by BA (WMD) in 1993 (left) and 2013 (right).</b> Red: colonising forest (F1), green: monodominant Okoume forest (F2), blue: young Marantaceae forest (F3) and yellow: mixed Marantaceae forest (F4).</p

Changes in soil characteristics with increasing depth per forest type (mean plotted).

<p>Note that black dots refer to savanna, red dots: colonising forest (F1), green dots: monodominant Okoume forest (F2), blue dots: young Marantaceae forest (F3) and yellow dots: mixed Marantaceae forest (F4).</p

African Savanna-Forest Boundary Dynamics: A 20-Year Study - Fig 2

<p><b>Different forest types (left) and plot set up (right)</b>.</p

Supplement to "Bushmeat hunting and extinction risk to the world's mammals"

Terrestrial mammals are experiencing a massive collapse in their population sizes and geographical ranges around the world, but many of the drivers, patterns and consequences of this decline remain poorly understood. Here we provide an analysis showing that bushmeat hunting for mostly food and medicinal products is driving a global crisis whereby 301 terrestrial mammal species are threatened with extinction. Nearly all of these threatened species occur in developing countries where major coexisting threats include deforestation, agricultural expansion, human encroachment and competition with livestock. The unrelenting decline of mammals suggests many vital ecological and socio-economic services that these species provide will be lost, potentially changing ecosystems irrevocably. We discuss options and current obstacles to achieving effective conservation, alongside consequences of failure to stem such anthropogenic mammalian extirpation. We propose a multi-pronged conservation strategy to help save threatened mammals from immediate extinction and avoid a collapse of food security for hundreds of millions of people

Supplement to “Are we eating the world's mammals to extinction?”

Terrestrial mammals are experiencing a massive collapse in their population sizes and geographical ranges around the world, but many of the drivers, patterns and consequences of this decline remain poorly understood. Here we provide an analysis showing that hunting for mostly food and medicinal products is driving a global crisis whereby 301 terrestrial mammal species are threatened with extinction. Nearly all of these threatened species occur in developing countries where major coexisting threats include deforestation, agricultural expansion, human encroachment and competition with livestock. The unrelenting decline of mammals suggests many vital ecological and socio-economic services that these species provide will be lost, potentially changing ecosystems irrevocably. We discuss options and current obstacles to achieving effective conservation, alongside consequences of failure to stem such anthropogenic mammalian extirpation. We propose a multi-pronged conservation strategy to help save threatened mammals from immediate extinction and avoid a collapse of food security for hundreds of millions of people

In situ datasets from the TropiSAR and AfriSAR campaigns

Three types of data are provided in the different folders: (1) Tabular data files (.csv) containing plot-based estimates of aboveground biomass and lidar-derived metrics for calibration points of 1ha or 0.25ha (0.16ha in case relative tree coordinates were missing); (2) Raster files (.tif) corresponding to maps of predicted aboveground biomass (at 50-m, 100-m and 200-m resolution). Digital terrain models (DTM) and canopy height models (CHM) at 1-m resolution are available upon request to the study site PIs (contact details provided in the README file); (3) Vector files (.shp) containing polygons corresponding to the location of calibration points of 1ha or 0.25ha (0.16ha in case relative tree coordinates were missing). PLEASE SEE README FILE FOR MORE INFORMATIO

Influence of tourism activities and PA size on threat level in 83 PAs.

<p>In bold are highlighted significant values (p <i><0.05</i>). See abbreviations in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0114154#pone-0114154-t002" target="_blank">Tab 2</a>. AIC, Akaike's Information Criterion; AICw, Akaike Information Criterion weight; Rank, model rank from the smallest to the largest AIC value; k, number of variables including the intercept.</p><p>Influence of tourism activities and PA size on threat level in 83 PAs.</p