Comunidades de aves em galerias ripícolas mediterrânicas do Sul de Portugal

Conhecer os requisitos ambientais por parte das espécies demonstrou ser essencial em disciplinas como a ecologia e a biologia da conservação. O presente estudo visa estudar as respostas e dependência das comunidades de aves em relação às galerias ripícolas mediterrânicas. Para tal utilizaram-se dados recolhidos pelo River Habitat Survey (RHS) e por censos por pontos de escuta, em três ribeiras no sul de Portugal. Os dados ambientais foram estruturados em matrizes de acordo com as características físicas da ribeira e das margens, e modificações antropogénicas. Enquanto os dados biológicos foram agrupados em guildas: alimentação e ocupação vertical do habitat ("estrato"). Através de análises canónicas aos a dos estruturados obtiveram-se correlações válidas entre as matrizes ambientais e as guildas, nomeadamente para indivíduos directamente dependentes da água e planadores ("aéreas"), provando a validade da metodologia e o potencial da combinação destas duas técnicas. ABSTRACT; Understanding species habitat requirements has proved to be essential in ecology and conservation biology. The present report aims to examine the responses and dependence we used data collected by River Habitat Survey (RHS) and point count censuses in three rivers in southern Portugal. The environmental data were structured in matrices according to physical characteristics of the stream, the banks and anthropogenic modifications, whilst biological data was grouped into guilds: foraging and occupation ("estate"). Through canonical analysis to structured data we obtained valid correlations between the environmental variables and species guilds, particularly for those directly dependent on water and gliders ("aéreas"), proving the validity of the methodology and the potential of these two techniques working together.

Use of Coarse-resolution models of species' distributions to guide local conservation inferences

Distribution models are used increasingly for species conservation assessments over extensive areas, but the spatial resolution of the modeled data and, consequently, of the predictions generated directly from these models are usually too coarse for local conservation applications. Comprehensive distribution data at finer spatial resolution, however, require a level of sampling that is impractical for most species and regions. Models can be downscaled to predict distribution at finer resolutions, but this increases uncertainty because the predictive ability of models is not necessarily consistent beyond their original scale. We analyzed the performance of downscaled, previously published models of environmental favorability (a generalized linear modeling technique) for a restricted endemic insectivore, the Iberian desman (Galemys pyrenaicus), and a more widespread carnivore, the Eurasian otter ( Lutra lutra), in the Iberian Peninsula. The models, built from presence–absence data at 10 × 10 km resolution, were extrapolated to a resolution 100 times finer (1 × 1 km). We compared downscaled predictions of environmental quality for the two species with published data on local observations and on important conservation sites proposed by experts. Predictions were significantly related to observed presence or absence of species and to expert selection of sampling sites and important conservation sites. Our results suggest the potential usefulness of downscaled projections of environmental quality as a proxy for expensive and time-consuming field studies when the field studies are not feasible. This method may be valid for other similar species if coarse-resolution distribution data are available to define high-quality areas at a scale that is practical for the application of concrete conservation measures

An R package for simulating metapopulation dynamics and range expansion under environmental change

The metapopulation paradigm is central in ecology and conservation biology to understand the dynamics of spatially-structured populations in fragmented landscapes. Metapopulations are often studied using simulation modelling, and there is an increasing demand of user-friendly software tools to simulate metapopulation responses to environmental change. Here we describe the MetaLandSim R package, mwhich integrates ideas from metapopulation and graph theories to simulate the dynamics of real and virtual metapopulations. The package offers tools to (i) estimate metapopulation parameters from empirical data, (ii) to predict variation in patch occupancy over time in static and dynamic landscapes, either real or virtual, and (iii) to quantify the patterns and speed of metapopulation expansion into empty landscapes. MetaLandSim thus provides detailed information on metapopulation processes, which can be easily combined with land use and climate change scenarios to predict metapopulation dynamics and range expansion for a variety of taxa and ecological systems.