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Cruz, A.Author

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January 13, 2020
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Using MaxEnt algorithm to assess habitat suitability of a potential Iberian lynx population in central Iberian Peninsula

Publicated to:Community Ecology. 20 (3): 266-276 - 2019-12-01 20(3), DOI: 10.1556/168.2019.20.3.7

Authors: Alfaya, P; Casanovas, J G; Lobon-Rovira, J; Matallanas, B; Cruz, A; Arana, P; Alonso, G

Affiliations

Univ Complutense Madrid, Dept Biodivers Ecol & Evolut, Educ Unit Ecol, Avda Jose Antonio Novais 12, Madrid 28040, Spain - Author
Univ Complutense Madrid, Dept Genet Physiol & Microbiol, Educ Unit Genet, Avda Jose Antonio Novais 12, Madrid 28040, Spain - Author

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 km(2) 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.

Keywords

CarnivoresCoverDensityDesignEcologyLynx pardinusMaximum entropy modellingModelsNicheRangeSelectionSpainSpecies distributionsSpecies potential distribution

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Community Ecology, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Ecology, give it significant recognition in a specific niche of scientific knowledge at an international level.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.75, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-16, the following number of citations:

  • WoS: 9
  • Scopus: 13

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-16:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 29 (PlumX).