Author

P. M. Lucas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 4

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:statistical model· 3 Organism:multiple species· 2 Research Focus:benchmarking· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

G. Mancini· 2 shared L. Santini· 2 shared M. Di Marco· 2 shared M. Gonzalez-Suarez· 2 shared V. Cazalis· 2 shared A. Antonelli· 1 shared A. Benitez-Lopez· 1 shared A. Berryman· 1 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersEcology

G. Mancini

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Author profile →

4 papers

Recent·Most cited

Modelling the probability of meeting IUCN Red List criteria to support reassessments.

E. G. Henry, L. Santini, S. Butchart, M. Gonzalez-Suarez, P. M. Lucas, A. Benitez-Lopez, G. Mancini, M. Jung, P. Cardoso, A. Zizka, C. Meyer, H. R. Akcakaya, A. Berryman, V. Cazalis, M. Di Marco

This paper develops models to predict the probability of species meeting specific IUCN Red List criteria, improving extinction risk assessments by identifying key predictors for each criterion.

bioRxiv · Jun 8, 2023Ecology

Including biotic interactions in species distribution models improves the understanding of species niche: a case of study with the brown bear in Europe

P. M. Lucas, W. Thuiller, M. V. Talluto, E. Polaina, J. Albrecht, N. Selva, M. De Barba, L. Maiorano, V. Penteriani, M. Guegen, N. Balkenhol, T. Dutta, A. Fedororca, S. C. Frank, A. Zedrosser, , Ion

This study shows that including biotic interactions in species distribution models improves predictions of future range shifts for brown bears in Europe under climate and land use change scenarios.

bioRxiv · Mar 10, 2023 · PreprintEcology

Testing the predictive performance of comparative extinction risk models to support the global amphibian assessment

P. M. Lucas, M. Di Marco, V. Cazalis, J. Luedtke, K. Neam, M. H. Brown, P. F. Langhammer, G. Mancini, L. Santini

The paper predicts amphibian extinction risk using ensemble models to prioritize species for reassessment, finding range size, climate change, and land-use change as key predictors.

bioRxiv · Feb 8, 2023 · PreprintEcology

Human activity is altering the world’s zoogeographical regions

R. Bernardo-Madrid, J. Calatayud, M. Gonzalez-Suarez, M. Rosvall, P. M. Lucas, M. Rueda, A. Antonelli, E. Revilla

This study shows human activity can reconfigure zoogeographical regions by altering species distributions, challenging the assumption that these regions are stable over time.

bioRxiv · Mar 23, 2018Ecology