Publication trends in global biodiversity research on protected areas

One of the main strategies to reduce the global loss of biodiversity has been the establishment of protected areas (PAs). High quality biodiversity knowledge is essential to successfully design PAs and PA networks, and to assess their conservation effectiveness. However, biodiversity knowledge is taxonomically and geographically biased. Even though PAs are typically more intensively surveyed than surrounding landscapes, they cannot avoid biodiversity knowledge shortfalls and biases. To investigate this, we performed a systematic literature review to assess publication trends in global biodiversity research taking place in PAs. Our data indicate that animals are more studied than plants, with vertebrates overrepresented in relation to invertebrates. Biodiversity in PAs has been mainly measured taxonomically (species richness or species diversity), while functional and phylogenetic diversity have rarely been considered. Finally, as predicted, there was a geographic bias towards European and USA terrestrial protected areas. These observed trends mirror more general studies of biodiversity knowledge shortfalls and could have direct negative consequences for conservation policy and practice. Reducing these biases and shortfalls is essential for more effective use of limited conservation resourcesSLC was supported by a FPI predoctoral grant financed by the Autonoma ´ University of Madrid. RJL was supported via the European Union’s Horizon 2020 research and innovation programme under grant agreement No 854248. AMCS was supported by the Ramon ´ y Cajal program (RYC2020-029407-I), financed by the Spanish Ministerio de Ciencia e Innovacio

Evolutionary history predicts the response of tree species to forest loss: A case study in peninsular Spain

Evolutionary history can explain species resemblance to a large extent. Thus, if closely related species share combinations of traits that modulate their response to environmental changes, then phylogeny could predict species sensitivity to novel stressors such as increased levels of deforestation. To test this hypothesis, we used 66,949 plots (25-m-radius) of the Spanish National Forest Inventory and modelled the relationships between local (plot-level) stem density of 61 Holarctic tree species and forest canopy cover measured at local and landscape scales (concentric circles centred on the plots with radiuses of 1.6, 3.2 and 6.4 km, respectively). Then, we used the output model equations to estimate the probability of occurrence of the species as a function of forest canopy cover (i.e. response to forest loss), and quantified the phylogenetic signal in their responses using a molecular phylogeny. Most species showed a lower probability of occurrence when forest canopy cover in the plots (local scale) was low. However, the probability of occurrence of many species increased when forest canopy cover decreased across landscape scales. We detected a strong phylogenetic signal in species response to forest loss at local and small landscape (1.6 km) scales. However, phylogenetic signal was weak and non-significant at intermediate (3.2 km) and large (6.4 km) landscape scales. Our results suggest that phylogenetic information could be used to prioritize forested areas for conservation, since evolutionary history may largely determine species response to forest loss. As such, phylogenetically diverse forests might ensure contrasted responses to deforestation, and thus less abrupt reductions in the abundances of the constituent species