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Article

Parsimony analysis of endemicity and its application to animal and plant geographical distributions in the Ibero-Balearic region (western Mediterranean)

Publicated to:JOURNAL OF BIOGEOGRAPHY. 29 (1): 109-124 - 2002-01-01 29(1), DOI: 10.1046/j.1365-2699.2002.00653.x

Authors: García-Barros, E; Gurrea, P; Luciáñez, MJ; Cano, JM; Munguira, ML; Moreno, JC; Sainz, H; Sanz, MJ; Simón, JC

Affiliations

- Author
Universidad Autónoma de Madrid - Author
Universidad SEK - Author

Abstract

Aim: The geographical distributions of animal and plant species endemic to the Iberian Peninsula and Balearic Islands were analysed to locate and designate areas of endemicity. Location: The Iberian Peninsula and the three largest Balearic Islands (Mallorca, Menorca and Ibiza) in the western Mediterranean, West Palaearctic region. Methods: The information analysed consisted of presence/absence data of animal and plant species, recorded on a 100 × 100 km grid based on the UTM projection system. From a larger initial data set, a simplified matrix of 480 species present in at least two quadrats was obtained, and processed to estimate the overall similarity patterns across land squares, and the areas of endemism. Two methods were employed to detect areas of endemism: Wagner Parsimony (PAE, or parsimony analysis of endemicity) and compatibility. A modification of PAE, PAE-PCE (Parsimony analysis of endemicity with progressive character elimination) was applied to overcome some of the potential shortcomings of the method. Results: The results represent the first attempt for a combined analysis of animal and plant distributions in the western Mediterranean. The proposed PAE-PCE procedure proved useful to identify areas of endemism that would have been otherwise overlooked. Up to thirty-six different areas of endemisms were identified. Some of these represent concentric (hierarchically nested) structures, while other are partly overlapping sectors. The endemism areas, as derived from parsimony and compatibility analyses, generally fit within the frame of the overall similarity approach. Main conclusions: The areas of endemicity identified often coincide with mountain sectors, and this may be of incidental interest for conservation policies as most natural preserves in the study area are located in mountain ranges. The conclusions are of interest for large scale approaches to the biogeography of the Mediterranean Basin, facilitating the selection of endemism areas for operative purposes. However, most of the best supported areas of endemism detected are relatively small, or overlap with neighbouring endemism areas. Hence, adopting large area units such as 'Iberia' for historical analysis at a wider geographical scale may be risky, because such units may actually represent composite sectors of an heterogeneous nature. The distribution of the areas of endemism, as well as the results of the overall similarity classification, share a number of features with previous sectorizations from independent, mostly phytogeographical, approaches. Parsimony analysis of endemicity is a potentially useful tool for identifying areas designated by species with congruent distributions, but (1) the results have no direct historical implications (for phylogenetic information is not incorporated), and (2) unless modifications such as the PAE-PCE procedure are applied, the number of potential areas of endemism (in the sense stated above) will often be underestimated. It is also shown that, in a PAE, a 'total evidence' approach is to be preferred to a consensus of partial (taxon-specific) results.

Keywords

Balearic islandsBiogeographyEndemismIberian peninsulaMediterraneanParsimonyPortugalSpain

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF BIOGEOGRAPHY due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2002, it was in position 4/31, thus managing to position itself as a Q1 (Primer Cuartil), in the category Geography, Physical.

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: 8.06, 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 Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-23, the following number of citations:

  • WoS: 121
  • Scopus: 131
  • Google Scholar: 207
  • OpenCitations: 111

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 2025-06-23:

  • 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: 256 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Simon J) .

the authors responsible for correspondence tasks have been Simon J and Munguira M.