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Using MaxEnt algorithm to assess habitat suitability of a potential Iberian lynx population in central Iberian Peninsula

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Abstract

Iberian lynx distribution is currently restricted to the south of the Iberian Peninsula. Nevertheless, there is evidence of the presence of several small groups in the peninsular centre that have been forgotten by management and conservation actions. In this research, we gathered evidences of Iberian lynx presence along 21 transects located in the southwest of the Madrid province. In these transects lynx DNA was identified in 47 scats, which scientifically proves the presence of the species in that location. Using these locations (presence-only data) we built a maximum entropy model (MaxEnt) to estimate the suitability of the study area for the species. Our results show the existence of an almost continuous area that is approximately 744 km2 that is suitable for the Iberian lynx. Seventy-eight percent of this area is within the Natura 2000 network and, therefore, it falls under regulations to preserve and restore habitat types, flora and fauna. This study shows the suitability of this territory has for the Iberian lynx.

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Abbreviations

AUC:

Area Under the Curve

GAM:

Generalised Additive Models

GLM:

Generalised Linear Models

IUCN:

International Union for Conservation of Nature

LOESS:

Locally Estimated Scatterplot Smoothing

NTD5000:

National Topographic Database 1:50,000

PCA:

Principal Component Analysis

SAC:

Special Area of Conservation

SCI:

Site of Community Interest

SDIM:

Spatial Data Infrastructure of the Madrid community

SPAB:

Special Protected Area for Birds

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  1. Educational Unit of Ecology, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Avda. José Antonio Nováis 12, 28040, Madrid, Spain

    P. Alfaya, J. G. Casanovas, J. Lobón-Rovira & G. Alonso

  2. Educational Unit of Genetics, Department of Genetics, Physiology and Microbiology, Complutense University of Madrid, Avda. José Antonio Nováis 12, 28040, Madrid, Spain

    B. Matallanas, A. Cruz & P. Arana

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  1. P. Alfaya
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  2. J. G. Casanovas
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  3. J. Lobón-Rovira
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Alfaya, P., Casanovas, J.G., Lobón-Rovira, J. et al. Using MaxEnt algorithm to assess habitat suitability of a potential Iberian lynx population in central Iberian Peninsula. COMMUNITY ECOLOGY 20, 266–276 (2019). https://doi.org/10.1556/168.2019.20.3.7

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