Distribución del ocelote (Leopardus pardalis) en San Luis Potosí, México

Martínez-Calderas, Jesús M.; Rosas-Rosas, Octavio C.; Martínez-Montoya, Juan F.; Tarango-Arámbula, Luis A.; Clemente-Sánchez, Fernando; Crosby-Galván, María Magdalena; Sánchez-Hermosillo, Manuel D.

doi:10.22201/ib.20078706e.2011.3.695

Cited by 17 publications

(15 citation statements)

References 15 publications

(13 reference statements)

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“…A population of ocelots has been confirmed in the Sierra Abra-Tanchipa Biosphere Reserve (Martínez-Calderas et al, 2011), the only such reserve in eastern San Luis Potosí, Mexico, which is becoming isolated from other areas of suitable habitat as a result of significant land-use changes, including slash-and-burn cropping and clearing for livestock grazing. This may pose a significant threat to this population of ocelots, the only documented population in eastern San Luis Potosí (Villordo-Galván et al, 2010;Martínez-Calderas et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Density of threatened ocelotLeopardus pardalisin the Sierra Abra-Tanchipa Biosphere Reserve, San Luis Potosí, Mexico

Martínez-Hernández

Rosas-Rosas

Clemente-Sánchez

et al. 2014

Oryx

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There is little information on the population status of the ocelot Leopardus pardalis in Mexico. In the Sierra Abra-Tanchipa Biosphere Reserve, in San Luis Potosí, ocelots are affected by habitat loss and fragmentation as a result of increased agricultural development. We used photographic identification in camera-trapping capture–recapture surveys to determine population abundance and density during the dry season and subsequent early and late humid seasons during April 2011–March 2012. We recorded 80 photographs of 15 individuals (10 males, one female, and four of undetermined sex) in 7,786 camera-days. Abundance was estimated using a closed capture heterogeneity model, yielding an estimated population of 9 ± SE 3 in the dry season and 21 ± SE 8 and 15 ± SE 5 during the subsequent early and late humid seasons, respectively. Spatially explicit density estimates were 0.04 and 0.03–0.18 individuals per km2 for the dry and humid seasons, respectively, and were similar (P > 0.612) among seasons. Peaks in ocelot activity occurred during 20.00–04.00. We conclude that the ocelots of the Sierra Abra-Tanchipa Reserve have a low population density and may face geographical and biological isolation as a result of habitat conversion. Continued monitoring and improved understanding of the movements and habitat preferences of ocelots are necessary to ensure their continued persistence, and connectivity between this population and others in north-east Mexico.

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Section: Introductionmentioning

confidence: 99%

Density of threatened ocelotLeopardus pardalisin the Sierra Abra-Tanchipa Biosphere Reserve, San Luis Potosí, Mexico

Martínez-Hernández

Rosas-Rosas

Clemente-Sánchez

et al. 2014

Oryx

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“…En la LCT. Fue donde se presentó la menor área de distribución, ya que es la que presenta menor proporción de hábitat apropiado, tal como vegetación templada y tropical seca y húmeda (Martínez-Calderas 2009).…”

Section: Discussionunclassified

Distribución potencial del coatí (Nasua narica) en el noreste de México: implicaciones para su conservación

Espinoza-García

Martínez-Calderas

Palacio-Núñez

et al. 2014

Therya

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Introduction: From different ecological approaches, the coati (Nasua narica) is an important procyonid. Its distribution extends from southern of the United States to Colombia. IUCN (2013) considered it as Least Concern, but in Mexico is not considered under any category of protection due to its wide distribution. Despite this, there is poor knowledge about their population status and current distribution, especially in the northeastern region of the country, where in the last 30 years there have been important changes in land use. The landscape variability that establishes the limit of physiographic subprovinces (PSP) has implications for the availability and quality of habitat for many species, and so this criterion was used. The objective of this study was to estimate the coati potential distribution in four physiographic subprovinces in Northeastern Mexico. Methodology: This study was conducted in northeastern Mexico, on the PSP: Gran Sierra Plegada (GSP), Carso Huasteco (CH); Llanuras y Lomeríos (LL) and Llanura Costera Tamaulipeca (LCT). From estimates the potential distribution was used historical and recent records and 26 predictive variables. The records were obtained from online base dates and articles, and field wok from 2006-2012. This information was analyzed with Maxent algorithm version 3.3.3k (Phillips 2013), obtaining binary maps (presence-absence) using ArcMap 9.3 (ESRI 2006). The potential distribution, as a percentage of the total area, was calculated. Results: We used 110 historical and recent records. Of these, 39 were obtained from databases and 71 fieldwork. The receiver operating characteristic (ROC) analysis showed a value of area under the curve (AUC) of 0.966 ± 0.005. Precipitation, vegetation type, vegetation cover, altitude, slope and temperature were the most relevant variables in explaining the potential distribution model we obtained, with contribution of 70% (Table 2). The potential distribution of coati covers 19.56% of the study area. The greatest distribution areas were found in the PSP's: GSP and CH, followed by LL and LCT. Discussion and conclusions: Coati records for northeastern Mexico were found within a wide range of environmental conditions. Historical records obtained from databases are useful for the modeling of potential distribution, but it is essential to include current records (Pliscoff and Fuentes-Castillo 2011). According to ROC analysis, the model provided a good prediction. The environmental variables that explained the potential of coati distribution are similar to those mentioned in various studies as it is a species adapted to a wide range of altitude, temperature and precipitation. The PSP, GSP and CH met continuity of potential distribution. Despite this, the feasible area for the potential distribution of this species is greatly reduced, and the landscape in general was very fragmented. This fragmentation is a risk for long term viability of coati populations in Northeastern Mexico. It is proposed to establish management plans that combine agricultural ...

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“…Ocelot records data and environmental predictors. The ocelot presence records (Appendix 1), as well as their geographic location were obtained through two different sources: 41 were obtained from literature (Martínez-Calderas et al 2011), while 22 were collected through field work carried out from December 2008 to September 2010. From the last ones, 12 were obtained by using camera traps, 5 through surveys and 5 through tracks and signs.…”

Section: Methodsmentioning

confidence: 99%

“…Information about the ocelot records in Northeastern Mexico. Records obtained from literature are of Martínez-Calderas et al 2011. Longitude = Long, latitude = Lat, % of cover = Cv , elevation in meters = Ev, degree of the slope = S, Human density = HD, meter to road = mR, meters to towns = mT.…”

Section: Appendixmentioning

confidence: 99%

“…These four are also classified as threatened species under Mexican laws (NOM-059-ECOL-2010, SEMARNAT 2010. Specifically, the ocelot is an elusive and adaptable species which has been found in a gradient landscape condition: tropical and subtropical forests, temperate forests, semitropical scrub and semi desert scrub (Martínez-Calderas et al 2011). Nevertheless, in this zone, the landscape has been fragmented (Trejo and Dirzo 2000;Reyes et al 2007) affecting the wild populations connectivity (e. g. Wilcove 1985;Gehring 2000;Nupp and Swihart 2000).…”

Section: Introductionmentioning

confidence: 99%

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Potential distribution of the ocelot (Leopardus pardalis) in Northeastern Mexico

Martínez-Calderas

Rosas-Rosas

Palacio-Núñez

et al. 2015

Therya

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Introduction:The ocelot (Leopardus pardalis) is a Neotropical cat which is threatened by illegal hunt and habitat destruction in the Mexican territory. Mexican and American authorities are interested in promoting their conservation. The MaxEnt algorithm allows modeling the potential distribution of elusive species, for instance, the ocelot. This has been based on trustable presence records and some other information about the habitat condition. This work was developed with the aim of generating important information about the species in Northeastern Mexico, especially, with the purpose of determining its potential distribution. Methods:Our study was conducted in six physiographic subprovinces in the Mexican states of Tamaulipas and San Luis Potosí. Sixty-trhee recent records about the ocelot were obtained, 41 through literature and 22 from field surveys , between May 2006 to May 2009. In order to develop a prediction model which let us know the animal potential distribution, twenty-seven bioclimatic, topographic, vegetation and anthropic variables were used through the MaxEnt software. Results:The model AUC was of 0.8221 ± 0.009. The most related variables about the ocelot presence were: precipitation of wettest month and quarter, vegetation cover, vegetation type, terrain elevation, precipitation of coldest quarter, terrain slope, human population density, and distance to roads. The potential distribution area overs 20.8 % of the study area. The physiographic subprovinces showing the highest potential distribution were: llanuras y lomerios (7.4 %), Carso Huasteco (4.8 %), Gran Sierra Plegada (4.5 %), and sierras and llanuras occidentales (3.4 %). The llanura costera Tamaulipeca subprovince showed lower potential distribution; meanwhile, llanuras de Coahuila y Nuevo Leon and sierras y llanuras del norte de Guanajuato were not suitable distribution for ocelot. Discussions and conclusions:In order to obtain the ocelot potential distribution model we use recent information collected through field work and surveys. Through this, we could achieve a robust model, where were relevant both bioclimatic and landscape variables. There are patches of habitat important in size and quality for ocelot. The physiographic subprovinces with the roughest landscape were the ones where the highest presence of the species. This study complements the ocelot distributional range in Northeastern Mexico and providing important information about the habitat quality in that portion of the country, as well as the difficulty to possible connectivity between Mexico and USA.Keywords: camera trap; field survey; huasteca region; MaxEnt; neotropical cats. Introducción:El ocelote (Leopardus pardalis) es un felino neotropical que se encuentra amenazado en México por la cacería ilegal y la destrucción de su hábitat. Existe interés de las autoridades de Estados Unidos y de México para conservarlo. El algoritmo MaxEnt permite modelar la distribución potencial de especies elusivas, como el ocelote, con base en registros confiables de presencia, e infor...

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Distribución del ocelote (Leopardus pardalis) en San Luis Potosí, México

Cited by 17 publications

References 15 publications

Density of threatened ocelotLeopardus pardalisin the Sierra Abra-Tanchipa Biosphere Reserve, San Luis Potosí, Mexico

Density of threatened ocelotLeopardus pardalisin the Sierra Abra-Tanchipa Biosphere Reserve, San Luis Potosí, Mexico

Distribución potencial del coatí (Nasua narica) en el noreste de México: implicaciones para su conservación

Potential distribution of the ocelot (Leopardus pardalis) in Northeastern Mexico

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