Selected Publications

Here we describe how satellite-derived Ecosystem Functional Attributes (EFAs), which offer a more integrative and faster evaluation of ecosystem responses to environmental change, can be used as predictors in Species Distribution Models (SDMs) and for implementing multi-scale species monitoring programs. [open to see the full abstract]
In PLoS One, 2018

In this paper we describe a framework to evaluate post-fire recovery based on remotely-sensed measures of relative vegetation recovery, calculated from satellite NDVI time-series. Three indicators are proposed: the novel Cumulative Relative Recovery Index (CRRI), the Recovery Trend Index (RTI), and the Half Recovery Time index (HRT). Based on the proposed indicators, we investigated main factors driving post-fire dynamics with a set of Random Forest models. [open to see the full abstract]
In ECOLIND, 2018

We focus on Mediterranean wetlands in central Iberia and perform a multi-level, comparative study of two endemic pond-breeding amphibians, a salamander (Pleurodeles waltl) and a toad (Pelobates cultripes) and identified major factors associated with population connectivity through the analysis of three sets of variables potentially affecting gene flow at increasingly finer levels of spatial resolution. Overall, results suggest a positive role of structural heterogeneity in population connectivity in pond-breeding amphibians, with habitat patches of Mediterranean scrubland and open oak woodlands (“dehesas”) facilitating gene flow. [open to see the full abstract]
In Molecular Ecology, 2017

In this work we assessed the vulnerability of herptile species to future climate and land use changes in fragmented landscapes. We developed and tested a methodological approach combining the strengths of Species Distribution Models (SDMs) and of functional connectivity analysis. [open to see the full abstract]
In Ecological Complexity, 2016

In this paper we explored how satellite-based environmental variables can be fed into species distribution models (SDMs) to investigate species-environment relations and forecast responses to change. We address the spatiotemporal dynamics of species’ habitat suitability at the landscape level by combining multi-temporal RS data with SDMs for analysing inter-annual habitat suitability dynamics. [open to see the full abstract]
In Biodiversity & Conservation, 2016

In this work we evaluated how very high-resolution colour imagery and digital surface models from an unmanned aerial vehicle can be effectively used for assessing habitat extent and condition in fine-scale disturbance-dependent mountain mosaics. [open to see the full abstract]
In Applied Vegetation Science, 2015

Recent Publications

More Publications

. Assessing the multi-scale predictive ability of ecosystem functional attributes for species distribution modelling. In PLoS One, 2018.

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. Indicator-based assessment of post-fire recovery dynamics using satellite NDVI time-series. In ECOLIND, 2018.

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. Analysing carbon sequestration and storage dynamics in a changing mountain landscape in Portugal: Insights for management and planning. In IJBSESM, 2017.

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. Assessing how green space types affect ecosystem services delivery in Porto, Portugal. In LAND, 2017.

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. Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region. In JAG, 2017.

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. Assessing mismatches in ecosystem services proficiency across the urban fabric of Porto (Portugal): The influence of structural and socioeconomic variables. In ECOSER, 2017.

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. Estimating Invasion Success by Non-Native Trees in a National Park Combining WorldView-2 Very High Resolution Satellite Data and Species Distribution Models. In Diversity, 2017.

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. Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species. In Biodiversity & Conservation, 2016.

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