3 Works

Data from: Forecasting the response to global warming in a heat-sensitive species

Francesca Brivio, Milena Zurmühl, Stefano Grignolio, Jost Von Hardenberg, Marco Apollonio & Simone Ciuti
Avoiding hyperthermia entails considerable metabolic costs for endotherms. Such costs increase in warm conditions, when endotherms may trade food intake for cooler areas to avoid heat stress and maximize their energy balance. The need to reduce heat stress may involve the adoption of tactics affecting space use and foraging behaviour, which are important to understand and predict the effects of climate change and inform conservation. We used resource selection models to examine the behavioural response...

WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)

Stefan Lange, Christoph Menz, Stephanie Gleixner, Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Hannes Müller Schmied, Hans Hersbach, Carlo Buontempo & Chiara Cagnazzo
The W5E5 dataset was compiled to support the bias adjustment of climate input data for the impact assessments carried out in phase 3b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b).
Version 2.0 of the W5E5 dataset covers the entire globe at 0.5° horizontal and daily temporal resolution from 1979 to 2019. Data sources of W5E5 are version 2.0 of WATCH Forcing Data methodology applied to ERA5 data (WFDE5; Weedon et al., 2014; Cucchi et al.,...

Carabids data of Pterostichus flavofemoratus and Carabus depressus in the Gran Paradiso National Park (2006, 2007, 2012, 2013)

Jonathan Giezendanner, Damiano Pasetto, Javier Perez-Saez, Cristiana Cerrato, Ramona Viterbi, Silvia Terzago, Elisa Palazzi & Andrea Rinaldo
Understanding risks to biodiversity requires predictions of the spatial distribution of species adapting to changing ecosystems and, to that end, earth observations integrating field surveys prove essential as they provide key figures for assessing landscape-wide biodiversity scenarios. Here, we develop, and apply to a relevant case study, a method suited to merge earth/field observations with spatially explicit stochastic metapopulation models to study the near-term ecological dynamics of target species in complex terrains. Our framework incorporates...

Registration Year

  • 2021
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Resource Types

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Affiliations

  • Institute of Atmospheric Sciences and Climate
    3
  • European Centre for Medium-Range Weather Forecasts
    1
  • University of Sassari
    1
  • Met Office
    1
  • École Polytechnique Fédérale de Lausanne
    1
  • Potsdam Institute for Climate Impact Research
    1
  • Goethe University Frankfurt
    1
  • University College Dublin
    1
  • University of Reading
    1