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Guzman BK, Cotrina Sánchez A, Allauja-Salazar EE, Olivera Tarifeño CM, Ramos Sandoval JD, Hoyos Cerna MY, Barboza E, Torres Guzmán C, Oliva M. Predicting potential distribution and identifying priority areas for conservation of the Yellow-tailed Woolly Monkey (Lagothrix flavicauda) in Peru. J Nat Conserv 2022. [DOI: 10.1016/j.jnc.2022.126302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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González-Bernal A, Rojas-Soto O, Martínez-Meyer E. Climatic comparison of the gray wolf ( Canis lupus) subspecies in North America using niche-based distribution models and its implications for conservation programs. J Mammal 2022. [DOI: 10.1093/jmammal/gyac066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
The gray wolf, Canis lupus, once inhabited much of the northern hemisphere worldwide; however, persecution drove its populations almost to extinction. In North America, diverse conservation programs have been implemented in the last decades to recover its populations in the wild, many of them guided by the historical distribution of the gray wolf subspecies. Over time, several authors have proposed different subspecies classifications. Nevertheless, most of them are mutually inconsistent regarding the number and distribution of subspecies, creating controversy when implementing conservation programs. This study used niche-based distribution models and cluster analysis to explore the bioclimatic profiles of C. lupus across North America and compare them with different subspecies classifications to identify environmental correlatives that support the proposed designations. Our cluster analysis results indicate that the optimal number of climatic groups was five, designated as Northern, Eastern, Western, Coastal, and Southern groups, with transitional overlap boundaries located at their peripheries, indicating climatic gradients between them and supporting the idea of intergrading zones. The geographic ranges of these groups mismatched to a different extent with all subspecies delimitations. In general, the boundaries of putative subspecies did not match the climatic patterns of North America. Our results may contribute to the recovery programs underway for this carnivore by identifying suitable areas for the release of individuals from specific lineages. New approaches to characterizing the intraspecific variation of the gray wolf should include all evidence available, including genetic, morphological, and ecological information.
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Affiliation(s)
- Alejandro González-Bernal
- Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de Mexico , Mexico City 04510 , Mexico
| | - Octavio Rojas-Soto
- Laboratorio de Bioclimatología, Instituto de Ecología A.C. , km 2.5 Carretera Antigua a Coatepec, Xalapa, Veracruz 91070 , Mexico
| | - Enrique Martínez-Meyer
- Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de Mexico , Mexico City 04510 , Mexico
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Kittlein MJ, Mora MS, Mapelli FJ, Austrich A, Gaggiotti OE. Deep learning and satellite imagery predict genetic diversity and differentiation. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13775] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Marcelo J. Kittlein
- Departamento de Biología Instituto de Investigaciones Marinas y Costeras (IIMyC) Facultad de Ciencias Exáctas y Naturales Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científica y Técnicas (CONICET) Mar del Plata Argentina
| | - Matías S. Mora
- Departamento de Biología Instituto de Investigaciones Marinas y Costeras (IIMyC) Facultad de Ciencias Exáctas y Naturales Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científica y Técnicas (CONICET) Mar del Plata Argentina
| | - Fernando J. Mapelli
- Grupo de Genética y Ecología en Conservación y Biodiversidad (GECOBI) División Mastozoología Museo Argentino de Ciencias Naturales ‘Bernardino Rivadavia’ (CONICET) Ciudad de Buenos Aires Argentina
| | - Ailín Austrich
- Departamento de Biología Instituto de Investigaciones Marinas y Costeras (IIMyC) Facultad de Ciencias Exáctas y Naturales Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científica y Técnicas (CONICET) Mar del Plata Argentina
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Landscape Structure of Woody Cover Patches for Endangered Ocelots in Southern Texas. REMOTE SENSING 2021. [DOI: 10.3390/rs13194001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Few ecological studies have explored landscape suitability using the gradient concept of landscape structure for wildlife species. Identification of conditions influencing the landscape ecology of endangered species allows for development of more robust recovery strategies. Our objectives were to (i) identify the range of landscape metrics (i.e., mean patch area; patch and edge densities; percent land cover; shape, aggregation, and largest patch indices) associated with woody vegetation used by ocelots (Leopardus pardalis), and (ii) quantify the potential distribution of suitable woody cover for ocelots across southern Texas. We used the gradient concept of landscape structure and the theory of slack combined with GPS telemetry data from 10 ocelots. Spatial distribution of high suitable woody cover is comprised of large patches, with low shape-index values (1.07–2.25), patch (27.21–72.50 patches/100 ha), and edge (0–191.50 m/ha) densities. High suitability landscape structure for ocelots occurs in 45.27% of woody cover in southern Texas. Our study demonstrates a new approach for measuring landscape suitability for ocelots in southern Texas. The range of landscape values identified that there are more large woody patches containing the spatial structure used by ocelots than previously suspected, which will aid in evaluating recovery and road planning efforts.
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