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European Union NextGenerationEU/PRTR; Grant/Award Number: PID2021-124187NB-I00 and TED2021- 129589B-I00

Analysis of institutional authors

Zarzo Arias, AlejandraAuthorMateo R.g.AuthorMorales-Barbero J.Author

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September 22, 2024
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sabinaNSDM: An R package for spatially nested hierarchical species distribution modelling

Publicated to:Methods in Ecology and Evolution. 15 (10): 1796-1803 - 2024-09-12 15(10), DOI: 10.1111/2041-210X.14417

Authors: Mateo, Ruben G; Morales-Barbero, Jennifer; Zarzo-Arias, Alejandra; Lima, Herlander; Gomez-Rubio, Virgilio; Goicolea, Teresa

Affiliations

Univ Alcala De Henares, Madrid, Spain - Author
Univ Autonoma Madrid, Ctr Invest Biodivers & Cambio Global CIBC UAM, Madrid, Spain - Author
Univ Autonoma Madrid, Fac Ciencias, Dept Biol, Madrid, Spain - Author
Univ Castilla La Mancha, Sch Ind Engn Albacete, Dept Math, Albacete, Spain - Author
Univ Oviedo, Oviedo, Asturias, Spain - Author
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Abstract

1. Species distribution models have evolved to combine species-environment interactions across multiple scales. Spatially nested hierarchical models (NSDMs) offer a promising avenue by integrating datasets and predictive models from broad to fine scales. But a user-friendly tool to execute these models remains an important ongoing challenge. 2.To address this gap, we introduce the sabinaNSDM R package that provides a straightforward approach to develop NSDMs. This package merges global scale models, capturing extensive ecological niches, with regional scale models featuring high-resolution covariates, to form a unified hierarchical modelling framework. This toolkit is designed to facilitate the implementation of NSDMs for ecologists, conservationists and researchers aiming to produce more reliable species distribution predictions. 3. sabinaNSDM streamlines the data preparation, calibration, integration and projection of models across two scales. It automates (if necessary) the generation of background points, spatial thinning of species occurrence and absence (if available) data, covariate selection and the generation of NSDMs. 4. This paper outlines the workflow and functions integrated into the sabinaNSDM package, complemented by an applied case study involving a pool of 76 tree species. Consistent with previous publications, the generated NSDMs facilitated precise predictions (mean AUC value through independent evaluation higher than 0.88) of species distributions under current and future environmental scenarios.

Keywords

Ecological niche modelsEnsemble modellingHierarchical modellingNiche truncationScaleSpatial ecologySpecies distribution models

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Methods in Ecology and Evolution 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, 2024 there are still no calculated indicators, but in 2023, it was in position 12/197, thus managing to position itself as a Q1 (Primer Cuartil), in the category Ecology. Notably, the journal is positioned above the 90th percentile.

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 2025-07-18:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 32.
  • 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: 36 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 45.5.
  • The number of mentions on the social network Facebook: 1 (Altmetric).
  • The number of mentions on the social network X (formerly Twitter): 44 (Altmetric).
  • The number of mentions in news outlets: 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

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 (GARCIA MATEO, RUBEN) .