Ontologia
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Leopardus guigna(Molina, 1782)

LCLR Monde (IUCN)
  1. Animal
  2. Chordata
  3. Mammalia
  4. Carnivora
  5. Felidae
1 photo · Licences CC (Wikimedia Commons / iNaturalist)Click pour agrandir

Description

félin autochtone d'Amérique du Sud

Source : Wikidata

Pays · région · aire protégée · écorégion · biome

Graphe en cours d’indexation

Calcul du tissu écologique de Leopardus guigna.

Le graphe apparaîtra automatiquement dès que le calcul est terminé (rafraîchissement toutes les 5s).

Liste rouge IUCN

LC · Préoccupation mineure?Inconnue
Évaluation complète
Évaluation
2025 · v3.1
Altitude
01962 m
Profondeur
m
État de la populationExpert
The total number of mature individuals inhabiting the distribution range was estimated. For each geographically limited group defined by Napolitano et al. (2014; see below), we identified suitable habitat land-cover categories based on recent field studies. From these same studies, we compiled occupancy estimates from hierarchical models for each land-cover category and geographic group (see supporting online information). Suitable habitat was then calculated by the sum of the surface area of each relevant land-cover. Occupancy estimates were used as a proxy to the proportion of each specific landcovers that is occupied or used by the species. Only for the Argentinian group a naïve estimate (i.e. not corrected for imperfect detection) was used as this was the best available information. To correct the total surface area of suitable habitat per geographic group we multiplied each land-cover by a corresponding value of occupancy from specific field studies. To be conservative we used lower limits of the occupancy estimates. This provided the best possible estimate of the effective surface area occupied by the species. From the sum of the effective surface areas for each geographic group we estimated the area of occupancy (AOO). For each geographic group, we also calculated the area of occupancy within each land-cover category identified as relevant for the species (here after as AOO-LandCover).

The range for population size was estimated from published density estimates of telemetry studies and from Relative Abundance Index (RAI or detection rates) from camera traps multiplied by the AOO (i.e. AOO x density). Hence for each geographic group as a whole and per landcover, we estimated lower limits and upper values (i.e. most from average values), excluding maximum values as a conservative precautionary measure. We prioritized using density estimates from telemetry studies applied to those specific landcovers in similar geographic groups, meaning that we did not apply density for native forest from telemetry of the Aysen and Lake District groups to the Northern and Central groups. Currently there are no studies available with Spatially Explicit Capture and Recapture (SECR) density estimates with individual identification from camera traps or live trapping for the species (Gálvez et al. 2023) but reporting of detection rates as a RAI is common and available in some areas where density data from telemetry or SECR is non-existent.

An important value used was density in primary habitat such as native forest. In the southern geographic groups (i.e. Lake district, Aysen, and Chiloé) we used values provided by Freer (2004) where only adult individuals were included in the estimates. We applied a correction factor of 0.37 to all estimates because in a recent review it was stated that density estimates may be overestimated by 63% in non-spatially explicit density estimates (Murphy et al. 2022). From Freer (2004) our lower limit was the median value of density, corrected for overestimation, of 0.32 ind/ km2 from five estimates (i.e. 0.06, 0.23, 0.32, 1.00, 1.22). For the upper limit, we used the highest value (i.e. 1.22 ind/ km2) of the estimates. This is a conservative approach for three reasons (i) the importance of native forest, (ii) the availability of several estimates and (iii) that we applied a correction factor for potential overestimation. For Agricultural landscapes, which are predominately in the Lake district and Chiloé group, we also used density from telemetry studies and corrected for the same factor as for native forests (i.e. 0.37). For our lower limit, we used estimates from Schüttler et al. (2017 /0.14 ind/km2).

Proxies to density from RAI estimates from camera trapping were used for three landcovers of three geographic groups. For native forests in the Northern and Central groups we used values provided by Beltrami et al. (2021 / 0.23 RAI) and for Argentina values from Agostini et al. (2024 / 0.13 RAI). For forest plantations in the different geographic groups, we used values provided by Ramirez et al. (2023 / 0.032 RAI). A recent review by Palmer et al. (2018) shows that RAI can be a good proxy if the studies have a design with appropriate camera spacing, effort and if species are non-migratory. The studies mentioned above, that have provided proxies of density from RAI, have good survey effort (i.e. number, length and distancing) and the species is non-migratory, hence they could be a good approximation. Nevertheless, and to account for uncertainty, we have applied a correction factor of 60% of the estimated population to account for mature individuals in the detection rate, as a precautionary conservative measure. We are aware that the relationship between RAI and density is uncertain, and it should be a research priority for future assessments.

Final population size range (i.e. lower and upper estimates) were obtained from the sum of AOO- LandCover x density (corrected telemetry density or RAI values). For detailed information and references please see the supporting online information that details habitat area for each land cover category, proportion of each landcover occupied by the species (AOO- LandCover), published RAI/telemetry density of the species per land-cover and geographic group.

Based on the above analysis the range values of the population size per geographic group and in total are the following:
  • Northern Group (31.5°-35° S; Administrative regions included: IV, V, RM, VI) population size: lower: 70 MI, upper: 373 MI
  • Central Group (>35°-38.5° S, Administrative regions included: VII, VIII) population size: lower: 510 MI, upper: 3,359 MI
  • Lake District Group (>38.5°-41.5° S; Administrative regions included: IX, X, XIV) population size: lower: 12,749 MI, average: 48,115 MI
  • Chiloé Island Group (39°-44° S; Administrative regions included: X) population size: lower: 1,831 MI, upper: 6,777 MI
  • Argentinian Group (41.7°-43.5° S; Administrative regions included: Chubut, Neuguén, Río Negro) population size: lower: 63 MI, upper: 122 MI
  • Aysen (>44°-48.1° S; Administrative regions included: X) population size: lower: 11,160 MI, upper: 42,548 MI
  • Total population estimate: lower: 26,383 MI, upper: 101,294 MI
It is worth noting that although the total population is driven by three groups with large numbers, there are three groups that show very low numbers. With their numbers, the Northern, Central and Argentinian groups have population size estimates that are very low (with the lower estimates meeting the threshold for Endangered (Northern, Central and Argentinian group) under Criterion D) and require urgent conservation attention. Furthermore, four out of six geographic groups have less than 10,000 mature individuals and the overall population size is driven mainly by two large groups; the Lake District and Aysén group. It is known that the species suffered genetic diversity reduction from a population bottleneck in the past (Napolitano et al. 2014), but it is also known that there is genetic connectivity between the Lake District group and the Central-Northern groups (Napolitano et al. 2014). As the former group contributes largely to the population size, the connectivity between this group and the northern distribution of the species becomes crucially important so that these populations may receive dispersing individuals.

A recent whole-genome study of the Leopardus genus found that the northern subspecies of guigna (L. guigna tigrillo; Northern and Central geographic groups) has low genomic diversity (0.063%; Lescroart et al. 2023). The genome of the guiña contained a high fraction (11%) of long runs of homozygosity (ROHs), similar to what is reported in fragile populations of Iberian lynx (Lescroart et al. 2023). Consistent with its restricted range in Chile, the Güiña contains approximately twofold lower heterozygosity and higher ROH content than the Geoffroy's cat. The same pattern is found in other small carnivores with small ranges, low levels of genetic diversity and elevated ROH content in the genome, and contrasts with species such as the Geoffroy's cat which occupy a large geographic range and possesses a high level of genetic diversity (Lescroart et al. 2023). Analyzing effective population sizes (Ne) the study indicates that this Güiña population has been declining continuously since the Last Glacial Maximum (aprox. 20,000 years BP), in relation to anthropogenic deforestation and severe fragmentation of the Mediterranean forest in central Chile. Altogether, low heterozygosity, high ROH and recent decline in Ne are warning signs of an increasing vulnerability to issues mediated by low genetic diversity, such as inbreeding depression and a lack of adaptability to deal with a changing environment (Lescroart et al. 2023). Genetic diversity is associated with population size: high genetic diversity is related to large populations, while low genetic diversity to small populations. Therefore, low genetic diversity estimates suggest small population numbers in the Northern and Central groups, which coincide with our estimates.  Ecologically these areas at the northern limit of the distribution are most likely highly restrictive in terms of resources and connectivity.

Menaces identifiées(16 menaces classées CMP-IUCN)

  • 2_1_2
    Small-holder farming
    Causing/Could cause fluctuationsMajority (50-90%)Ongoing
  • 2_1_3
    Agro-industry farming
    Causing/Could cause fluctuationsMajority (50-90%)Ongoing
  • 2_2_2
    Agro-industry plantations
    Causing/Could cause fluctuationsMajority (50-90%)Ongoing
  • 2_3_2
    Small-holder grazing, ranching or farming
    Causing/Could cause fluctuationsMajority (50-90%)Ongoing
  • 2_3_3
    Agro-industry grazing, ranching or farming
    Causing/Could cause fluctuationsMajority (50-90%)Ongoing
  • 5_1_3
    Persecution/control
    Causing/Could cause fluctuationsWhole (>90%)Ongoing
  • 8_1_1
    Unspecified species
    Causing/Could cause fluctuationsMajority (50-90%)Ongoing
  • 11_1
    Habitat shifting & alteration
    UnknownMajority (50-90%)Ongoing
  • 11_2
    Droughts
    UnknownWhole (>90%)Ongoing
  • 1_3
    Tourism & recreation areas
    UnknownUnknownOngoing

+ 6 menaces supplémentaires

Description complète des menacesExpert
Current threats as important drivers of decline for Güiñas include habitat loss/fragmentation and degradation and stochastic forest fires. There is evidence that there may be opportunistic killings (i.e. vía encounters and within chicken coups), disease transmission, domestic dog predation and roadkill as a source of mortality that may be having an impact. These more direct sources remain to be evaluated as to the overall impact on the population.

Historically the primary habitat (i.e. forest cover) in the Chilean Matorral ecosystem and temperate rainforest suffered important deforestation and landcover change (Lubert and Pliscoff 2017). There is evidence that the species suffered a bottleneck and subsequent loss of genetic diversity (Napolitano et al. 2014). In the northernmost part of its range, Güiñas inhabit the Chilean Matorral ecosystem, where more than half of the country’s total human population live and which has been dramatically reduced by habitat conversion to agricultural lands, leading to local extinctions and population fragmentation. Güiñas in the Northern-Central area have low genomic diversity, high homozygosity and low, recent declining Ne similar to what is reported in fragile populations such as the Iberian lynx (Lescroart et al. 2023). Güiñas occupy remnant sclerophyll forests in the coastal range mountains surrounding agricultural land in the northern distribution of the species (Beltrami et al. 2021, Napolitano et al. 2020). Central and Lake District populations have suffered from extensive and intensive habitat loss and fragmentation by land conversion to pine plantations and logging of the remnant temperate Valdivian rainforest (Willson et al. 2005, Echeverría et al. 2006, 2008). On Chiloé Island, native forests have been largely cleared and fragmented over large areas to support domestic fowl, grazing and farming, leaving only remnants of the original forest surrounded by a human-modified matrix (Armesto et al. 1998, Sanderson et al. 2002). In its southernmost range, human density is lower, there is a greater amount of forest cover and agricultural lands are more frequently surrounded by a concentration of protected areas. Similarly, in the Argentine portion of Güiñas range, the native forest is almost continuous, with a low degree of land-cover transformation, and nearly 75% of the area under protection (Monteverde et al. 2019).

In the last assessment (i.e. 2014) an estimate of an annual forest loss rate of 4.5% per year for the period 1975–2000 in a particular area of the Chilean temperate rainforests (Echeverría et al. 2006) was used as evidence of forest loss. However, in this assessment and evaluating the entire EOO of the species, we found that the amount and rate of forest loss between the year 2000 and 2022 has substantially declined (i.e. 0.2% annual loss compared to 4.5% of previous assessment), even increasing forest cover in some of the geographic groups. In the mapbiomas data base we found that the overall % change in area had a net reduction of 4% in primary habitat for the period (i.e. 2000-2022) with an annual rate of primary habitat loss of 0.2%. The different groups had the following annual % of change in forest cover 1) -0.4% for the Northern group, 2) -1.6% for the Central group, 3) -0.3% for the Lake district group, 4) an increase of 0.4% for Chiloé group, 5) 0.1% for the Argentinian group and 6) 0.2% for the Aysen group. The groups with the largest decrease in total forest cover area during the period were the Northern group with a reduction of 9% and the Central group with a reduction in 35%. For the Chiloe Island, Argentinian and Aysen groups there was annual increase of primary habitat during the period.

Forest fires may be the major driver in this loss of primary habitat discussed above and most likely represent highly negative stochastic events for the species. Particularly if we consider that the population estimates of the Central group and the Northern group with < 1,000 mature individuals (see population estimates). Fires have been increasing in a greater part of the distribution of the central and northern range of Güiñas. During 2017, central Chile had a megafire event in 92 locations totaling 529,794 hectares with high severity (De la Barrera et al. 2018). These fires reduced and degraded important habitat for the species such as shrub and forest plantations (Gúzman-Aguayo et al. 2023). In fact, probability of use-occupancy by the species is significantly reduced with increasing severity of wildfires (Osorio et al. 2021). Also, habitat, such as ravines with remnant native vegetation, in the northern distribution of the species are highly threatened by forest fires (Beltrami et al. 2021). Fires are expected to increase in frequency and severity in key areas of the species distribution (Castillo et al. 2020), particularly relevant for the L. guigna tigrillo Northern sub-species. In Argentina, between 2001 and 2017, 84% of the total loss of Patagonian forest area was due to fires, mostly concentrated in the Güiña’s distribution range in Neuquén, Río Negro and Chubut provinces (Mohr-Bell et. al.2019). It has been shown that the distribution range of Güiñas in both Chile and Argentina will decrease under climate change scenarios (Marquet et al. 2010, Cuyckens et al. 2015) where increased intensity of fire may be also an important consequence and detrimental to the primary habitat of the species.

In contrast to primary habitat, secondary habitat has had a net increase of 20% in surface area between the years 2000 and 2022, mainly driven by an increase within the Central group (44% increase) and driven by an increase in forest plantations (Proyecto MapBiomas Chile). The fact that the species can survive in these modified landscapes of forest plantations of central Chile (Gúzman-Aguayo et al. 2023), opens the possibility that this may offset the reduction in primary habitat. However, this may need to be further assessed with meta-population dynamics in these forestry production landscapes, considering that these habitats have high turnover due to the harvesting of trees with clear cutting methods. In turn, within southern Chile agricultural mosaics may be highly important to safeguard the future of the species. Particularly, considering that the large population of the Lake District group is key for the survival of the species due to estimated numbers. In the Lake District group there is increasing support that the species can have high occupancy values in agricultural lands with very low forest cover, with existing array of forest fragments. However, in these landscapes there is an increasing threat from subdivision of land mainly driven by urban expansion or peri-urban sprawl rather than retribution killing of the species (Gálvez et al. 2018, 2021a). In fact, urban infrastructure has had a 33,2% increase between 2000 and 2022 (Proyecto MapBiomas Chile). In addition to increased fragmentation and human modification due to increased subdivision that may influence species persistence in agricultural landscapes (Gálvez et al. 2018, 2021a), evidence suggests that increased landscape fragmentation is associated with reduced genetic diversity in Güiñas (Napolitano et al. 2015) which could further hinder population viability in the long-term.

Causes of direct mortality are also a threat to the species. Most people in rural landscapes of central and southern Chile have negative attitudes towards Güiñas, arguing livestock and poultry losses (Herrmann et al. 2013, Zorondo-Rodríguez et al. 2014), which could potentially end in retaliatory killings. 81.4% of 43 families interviewed in a rural area of southern Chile considered Güiñas “damaging" or "very damaging”, although there was only a single recent report of a Güiña killing 12 hens in a henhouse (Silva-Rodríguez et al. 2007). In a recent large scale socioecological study within agricultural landscapes of the Lake District geographic group it was documented that, from 233 people interviewed, encounters with Güiñas were rare, on average occurred 17 years ago, only 7% had lost poultry to the species in the last decade; even though the species occurred in >80% of the landscape from camera traps in those same places (Gálvez et al. 2018). In the same study it was estimated that 10% of respondents admitted to killing a Güiña in the last decade with specialized methods for sensitive questions (Gálvez et al. 2018, Gálvez et al. 2021c). However, on Chiloe Island, two out of seven radio-collared Güiñas were killed while raiding chicken coops (Sanderson et al. 2002). Retaliatory killings for poultry depredation accounted for 39.4% of the total 38 Güiña samples collected during a three-year study in Chiloé Island (Napolitano 2012, Napolitano et al. 2015). Direct persecution and attack by free-roaming dogs in human-dominated landscapes is also a threat for Güiñas. Dogs are an important conservation problem in Chile (Silva-Rodrígiez et al. 2023) and Güiñas have been reported to arrive injured by interactions with dogs at Wildlife Rescue Centers, and a high proportion of them die because of the severity of the injuries (Romero et al. 2019). For several species of mammals, including Güiñas, all animal interaction cases received in wildlife rescue centers were attacks by domestic dogs (Romero et al. 2019). It is also known that in these modified landscapes interspecific pathogen transmission from co-occurring domestic carnivores, cats and dogs, may also be a threat. Feline Immunodeficiency Virus (FIV) and Feline Leukemia Virus (FeLV) infection from domestic cat origin has been recorded in Güiñas inhabiting human perturbed landscapes across the species range (Mora et al. 2015, Sacristán et al. 2021) and also deadly Parvovirus infection from domestic dog origin (Ortega et al. 2021). Road kills also seem to be increasing as a death cause, especially in fragmented landscapes, where they accounted for 29% of the total 38 Güiña samples collected during a three-year study in Chiloé Island (Napolitano 2012, Napolitano et al. 2015). There needs to be roadkill data analysis across the distribution of the species to better understand this driver of mortality of individuals. It is not clear what the impact of direct mortality (i.e. retaliatory killings, diseases, attack by dogs and roadkill) for the populations.

If population estimates show a decline in the future, but habitat area (primary and secondary) remains stable, it could be an early indication that these sources of mortality may be having relatively larger impacts. However, in general, the evidence presented above points towards habitat-based threats as a more important threat to the species survival than direct mortality, although these may be additive and must also be included in conservation action plans. The threats discussed above should guide conservation action for the species.

Habitats préférentiels (classification IUCN)

  • 1_4Forest - Temperate
  • 3_8Shrubland - Mediterranean-type Shrubby Vegetation
  • 14_1Artificial/Terrestrial - Arable Land
  • 14_2Artificial/Terrestrial - Pastureland
  • 14_3Artificial/Terrestrial - Plantations
  • 14_5Artificial/Terrestrial - Urban Areas
  • 3_4Shrubland - Temperate
Mesures de conservation recommandéesExpert
Included in CITES Appendix II and protected by national legislation in Argentina and Chile (Nowell and Jackson 1996). Using a broad approach for population distinctiveness based on genetic and ecological exchangeability (Crandall et al. 2000), two management units were proposed for the conservation of Güiñas, which correspond to the two identified subspecies (Napolitano et al. 2014). Within these management units six genetic groups are identified, displaying significant variation in patterns of genetic diversity, biogeographic history, available ecological habitats and conservation threats among them. Güiñas are recorded in 16 protected areas in Chile, but many are too small to support viable populations (Acosta-Jammett et al. 2003). In Argentina, it is known from three national parks: Lanin, Nahuel Huapi, Lago Puelo and Los Alerces (Monteverde et al. 2019), although densities may be low. The spatial extent of protected areas alone is not enough for the long-term viability of Güiña populations, thus incorporating private lands outside protected areas is crucial for Güiña conservation (Simonetti and Acosta-Jamett 2002, Acosta-Jamett et al. 2003, Haines et al. 2006, Gálvez et al. 2013).

Conservation action should work to foster positive perceptions, attitudes and higher tolerance of landowners and rural people towards Güiñas which is currently quite negative (Gálvez et al. 2021c, Silva-Rodríguez et al. 2007, Herrmann et al. 2013). Future conservation challenges for Güiñas outside protected areas will hinge on fostering positive attitudes of landowners towards Güiñas, increasing local awareness and participation to reduce conflict in areas where they are considered poultry pests, improving chicken coops and highlighting the services provided by its role as controller of mice carriers of Hanta virus and exotic European Hares (Lepus europaeus; Silva-Rodriguez et al. 2007, Gálvez et al. 2013, Napolitano et al. 2014). These efforts may decrease direct mortality of individuals.

In the Northern and Central groups, fire prevention, improved management of forest plantations to permit flow of individuals and maintenance of understory habitat structure, and further protection of native forest remnants will be key actions. Also, restoration of degraded areas, burned or otherwise could have an important impact on the population. Public policy oriented towards these targets will have benefits for biodiversity under scenarios of climate change (Marquet et al. 2019) and the Güiña. For example, initiatives from the wine and fruit industry to protect remnant Mediterranean sclerophyllous forests in surrounding hillsides (Gárcía et al. 2021; Márquez-García et al. 2018, 2019) will be important for the persistence of the small population in these geographic groups. Forest fire prevention in these areas is most likely good conservation investment. This is also true for the Argentinian group.

In southern Chile, apart from protection of existing forests in the Coastal and Andean cordilleras, agricultural lands require specific policy-oriented interventions. An array of small fragments will permit the species persistence in these landscapes (Gálvez et al. 2018). Also, the mitigation of urban sprawl or the subdivision of land in agricultural areas without any clear public policy may be impacting the populations (Gálvez et al. 2018, 2021a). The outcome of current discussions regarding public policy of agricultural land subdivision may have a large impact on the species. Also, conservation efforts should focus on preserving vegetation corridors to facilitate connectivity between forest fragments or larger forested areas, along with providing safe road passages to decrease mortality by road kills (Dunstone et al. 2002, Sanderson et al. 2002, Gálvez et al. 2013). Vegetation corridors are essential to maintain viable Güiña populations for their long-term survival in increasingly fragmented landscapes.

Further studies are required on the species ecology, demographics, natural history, and relative importance of threats (IUCN Cats Red List workshop 2007). We need improved estimates of density throughout the range to reduce uncertainty of population estimates. Regarding diseases, future studies should include elucidating the potential pathological effect and emerging disease risk Feline Immunodeficiency Virus (FIV) and Feline Leukemia Virus (FeLV) and parvovirus infections may have for Güiña populations. Finally, the importance of roadkill should be assessed and hotspots identified where speed reduction interventions may be implemented.

Currently, the Güiña working group (https://guigna.org/) brings together academia, practitioners, NGO´s and professionals working for the national wildlife and forestry authorities in support and to conduct actions to reduce threats across the species range including education, roadkill mitigation, habitat protection among others.
Actions de conservation (8)Expert
  • 1_1Site/area protection
  • 2_1Site/area management
  • 4_1Formal education
  • 4_2Training
  • 4_3Awareness & communications
  • 5_1_2National level
  • 5_4_1International level
  • 5_4_2National level
Stress écologiques (48)Expert
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_1Ecosystem conversion
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 1_3Indirect ecosystem effects
  • 1_3Indirect ecosystem effects
  • 1_3Indirect ecosystem effects
  • 1_3Indirect ecosystem effects
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_2Species disturbance
  • 2_2Species disturbance
  • 2_2Species disturbance
  • 2_2Species disturbance
  • 2_2Species disturbance
  • 2_2Species disturbance
  • 2_3_2Competition
  • 2_3_2Competition
  • 2_3_2Competition
  • 2_3_2Competition
  • 2_3_2Competition
  • 2_3_2Competition
  • 2_3_2Competition
  • 2_3_7Reduced reproductive success
  • 2_3_8Other
Priorités de recherche (6)Expert
  • 1_2Population size, distribution & trends
  • 1_3Life history & ecology
  • 1_5Threats
  • 1_6Actions
  • 2_2Area-based Management Plan
  • 3_1Population trends
Niche IUCN globaleExpert

Royaumes biogéographiques

Neotropical

Systèmes (terrestre/eau douce/marin)

Terrestrial
Références bibliographiques (30)Expert
  1. Napolitano, C., Díaz, D., Sanderson, J., Johnson, W.E., Ritland, K., Ritland, C.E. and Poulin, E. Submitted. Reduced genetic diversity and increased dispersal in Guigna (<i>Leopardus guigna</i>) in Chilean fragmented landscapes. <i>Journal of Heredity (Special Issue on Conservation Genetics in Latin America)</i>.
  2. Mora, M., Napolitano, C., Ortega, R., Poulin, E. and Pizarro, J. In Press. Feline Immunodeficiency Virus and Feline Leukemia Virus infection in free-ranging guignas (<i>Leopardus guigna</i>) and sympatric domestic cats in human perturbed landscapes on Chiloé Island, Chile. <i>Journal of Wildlife Diseases</i>.
  3. IUCN. 2025. The IUCN Red List of Threatened Species. Version 2025-2. Available at: <a href="www.iucnredlist.org">www.iucnredlist.org</a>. (Accessed: 10 October 2025).
  4. Guzmán-Aguayo, L., Magni-Pérez, F., González, B. A., Estades, C. F., Medel, R. and Hernández, H. J. 2023. Occupancy patterns of two contrasting carnivores in an industrial forest mosaic. <i>Forest Ecology and Management</i> 544: 121170.
  5. Ramírez-Álvarez, D., Napolitano, C., Arriagada, G., Salgado, I., Cox, S. and Céspedes, B. 2023. Native carnivore diversity and relative abundance in landscapes of the Coast Range in central Chile: Insights for conservation decision-making. <i>Conservation</i> 3: 379–393.
  6. Beltrami, E., Gálvez, N., Osorio, C., Kelly, M. J., Morales-Moraga, D. and Bonacic, C. 2023. Ravines as conservation strongholds for small wildcats under pressure from free-ranging dogs and cats in Mediterranean landscapes of Chile. <i>Studies on Neotropical Fauna and Environment</i> 58(1): 138-154.
  7. Gálvez, N., Infante-Varela, J., de Oliveira, T. G., Cepeda-Duque, J. C., Fox-Rosales, L. A., Moreira, D., Huaranca, J. C., Di Bitteti, M. S., Cruz, P., Tirelli, P. T. and Cusack, J. 2023. Small Wild Felids of South America: A Review of Studies, Conservation Threats, and Research Needs. In: Mandujano, S., Naranjo, E.J. and Andrade Ponce, G.P. (eds), <i>Neotropical Mammals: Hierarchical Analysis of Occupancy and Abundance</i>, pp. 13-41. Springer, Cham.
  8. Silva-Rodríguez, E. A., Cortés, E. I., Zambrano, B., Naughton-Treves, L. and Farías, A. A. 2023. On the causes and consequences of the free-roaming dog problem in southern Chile. <i>Science of The Total Environment</i> 891: 164324.
  9. Lescroart, J., Bonilla-Sánchez, A., Napolitano, C., Buitrago-Torres, D. L., Ramírez-Chaves, H. E., Pulido-Santacruz, P. and Eizirik, E. 2023. Extensive phylogenomic discordance and the complex evolutionary history of the Neotropical cat genus <i>Leopardus</i>. <i>Molecular Biology and Evolution</i> 40(12): msad255.
  10. Murphy, S. M., Beausoleil, R. A., Stewart, H. and Cox, J. J. 2022. Review of puma density estimates reveals sources of bias and variation, and the need for standardization. <i>Global ecology and conservation</i> 35: e02109.
  11. Gálvez, N., St. John, F. A. and Davies, Z. G. 2021c. Drivers of predator killing by rural residents and recommendations for fostering coexistence in agricultural landscapes. <i>Frontiers in Conservation Science</i> 2: 712044.
  12. Gálvez, N., Meniconi, P., Infante, J. and Bonacic, C. 2021b. Response of mesocarnivores to anthropogenic landscape intensification: activity patterns and guild temporal interactions. <i>Journal of Mammalogy</i> 102(4): 1149-1164.
  13. Gálvez, N., Infante, J., Fernandez, A., Díaz, J. and Petracca, L. 2021a. Land use intensification coupled with free‐roaming dogs as potential defaunation drivers of mesocarnivores in agricultural landscapes. <i>Journal of Applied Ecology</i> 58(12): 2962-2974.
  14. Sacristán, I., Hidalgo, E., Cabello, J., Sanderson, J., Terio, K., Barrs, V., Beatty, J., Johnson, W.E., Millan, J., Poulin, E. and Napolitano, C. 2021. Cross‐species transmission of retroviruses among domestic and wild felids in human‐occupied landscapes in Chile. <i>Evolutionary Applications </i> 14: 1070-1082.
  15. García, C.B., Svensson, G.L., Bravo, C., Undurraga, M.I., Díaz-Forestier, J., Godoy, K., Neaman, A., Barbosa, O. Abades, S.R. and Celis-Diez, J.L. 2021. Remnants of native forests support carnivore diversity in the vineyard landscapes of central Chile. <i>Oryx</i> 55(2): 227–234.
  16. Silva-Rodríguez, E. A., Gálvez, N., Swan, G. J., Cusack, J. J. and Moreira-Arce, D. 2021. Urban wildlife in times of COVID-19: What can we infer from novel carnivore records in urban areas? <i>Science of the Total Environment</i> 765: 142713.
  17. Osorio, Ch., Urrutia, T. and Kelly, M.J. 2021. Habitat use of guignas after the Fire Storm in southern-central Chile. <i>Wild Felid Monitor</i> 14(2): 20-21.
  18. Ortega, R., Mena, J., Grecco, S., Perez, R., Panzera, Y., Napolitano, C., Zegpi, N., Sandoval, A., Sandoval, D., Gonzalez-Acuña, D., Cofré, S., Neira, V. and Castillo-Aliaga C. 2021. Domestic dog origin of Carnivore Protoparvovirus 1 infection in a rescued free-ranging guiña (<i>Leopardus guigna</i>) in Chile. <i>Transboundary and Emerging Diseases </i> 68: 1062-1068.
  19. Castillo, M., Plaza, Á. and Garfias, R. 2020. A recent review of fire behavior and fire effects on native vegetation in Central Chile. <i>Global Ecology and Conservation</i> 24: e01210.
  20. Pliscoff, P., Folchi, M., Aliste, E., Cea, D. and Simonetti, J. A. 2020. Chile mega-fire 2017: An analysis of social representation of forest plantation territory. <i>Applied Geography</i> 119.
  21. Napolitano, C., Larraguibel-González, C., Cepeda-Mercado, A.A., Vial P. and Sanderson, J. 2020. New records of Leopardus guigna in its northern-most distribution in Chile: Implications for conservation. <i>Revista Chilena de Historia Natural </i> 93(7).
  22. Márquez-García, M., Jacobson, S. K. and Barbosa, O. 2019. Wine with a bouquet of biodiversity: assessing agricultural adoption of conservation practices in Chile. <i>Environmental Conservation</i> 46(1): 34-42.
  23. Marquet P.A., Altamirano, Arroyo, A., M. T. K., Fernández, M., Gelcich, S., Górski, K., Habit, E., Lara, A., Maass, A., Pauchard, A., Pliscoff, P., Samaniego H. and Smith-Ramírez C. 2019. <i>Biodiversidad y cambio climático en Chile: Evidencia científica para la toma de decisiones. Informe de la mesa de Biodiversidad</i>. Comité Científico COP25; Ministerio de Ciencia, Tecnología, Conocimiento e Innovación, Santiago, Chile.
  24. Monteverde, M., Morales, M.M., Cuyckens, E. and Lucherini, M. 2019. <i>Leopardus guigna</i>. In: Secretaría de Ambiente y Desarrollo Sustentable de la Nación y Sociedad Argentina para el Estudio de los Mamíferos (ed.), <i>Categorización 2019 de los mamíferos de Argentina según su riesgo de extinción. Lista Roja de los mamíferos de Argentina</i>, Ministerio de Ambiente y Desarrollo Sostenible Argentina, Sociedad Argentina para el Estudio de los Mamíferos, Buenos Aires, Argentina. [In Spanish].
  25. Romero, F., Espinoza, A., Sallaberry-Pincheira, N. and Napolitano, C. 2019. A five-year retrospective study on patterns of casuistry and insights on the current status of wildlife rescue and rehabilitation centers in Chile. <i>Revista Chilena de Historia Natural</i> 92: 6.
  26. Palmer, M. S., Swanson, A., Kosmala, M., Arnold, T. and Packer, C. 2018. Evaluating relative abundance indices for terrestrial herbivores from large‐scale camera trap surveys. <i>African journal of ecology</i> 56(4): 791-803.
  27. Gálvez, N., Guillera‐Arroita, G., St. John, F.A., Schüttler, E., Macdonald, D.W. and Davies, Z.G. 2018. A spatially integrated framework for assessing socioecological drivers of carnivore decline. <i>Journal of Applied Ecology</i> 55(3): 1393–1405.
  28. De la Barrera, F., Barraza, F., Favier, P., Ruiz, V. and Quense, J. 2018. Megafires in Chile 2017: Monitoring multiscale environmental impacts of burned ecosystems. <i>Science of the total environment</i> 637: 1526-1536.
  29. Márquez-García, M., Jacobson, S.K. and Barbosa, O. 2018. Evaluating biodiversity workshops in Chile: are farmers responding with conservation action? <i>Environmental Education Research</i> 24(12): 1669–1683.
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Évaluateurs & contributeurs (3)Expert
assessor
Gálvez, N., Napolitano, C., Ibacache, F., Agostini, I. & Pliscoff, P.
contributor
ChangReissig, E., Rosolen, L., Bravo, S., Pozzi, C., Borla, L., Gómez, G., Ramirez, D., Muñoz, D. & Caro, J.
evaluator
Tognelli, M.F., Lagos, N. & de Oliveira, T.

Gálvez, N., Napolitano, C., Ibacache, F., Agostini, I. & Pliscoff, P. 2025. Leopardus guigna. The IUCN Red List of Threatened Species 2025: e.T15311A273961103. Accessed on 05 May 2026.

Traits biologiques

20 valeurs · 6 sources

Morphologie(4)

Masse adulte
2,23 kg
AnAge
Longueur
-999 mm
PanTHERIA
Masse naissance
-999000 mg
PanTHERIA
Masse au sevrage
-999000 mg
PanTHERIA

Cycle de vie(1)

Longévité max
-999 mois
PanTHERIA
Voir 15 traits de plus (2 catégories)

Reproduction(6)

Gestation
-999 j
PanTHERIA
Intervalle naissances
-999 j
PanTHERIA
Taille de portée
-999
PanTHERIA
Portées par an
-999
PanTHERIA
Maturité sexuelle
-999 j
PanTHERIA
Sevrage
-999 j
PanTHERIA

Écologie & habitat(9)

Fruits (%)
0 %
elton_mammals
Invertébrés (%)
0 %
elton_mammals
Nectar (%)
0 %
elton_mammals
Autre végétal (%)
0 %
elton_mammals
Charognard (%)
0 %
elton_mammals
Graines (%)
0 %
elton_mammals
Vert. ectothermes (%)
0 %
elton_mammals
Vert. endothermes (%)
100 %
elton_mammals
Poissons (%)
0 %
elton_mammals

Sources priorisées par qualité scientifique (peer-reviewed spécialisées → Wikidata fallback). Unités auto-converties, valeur max retenue en cas de mesures multiples. Méthodologie · Citations.

Répartition mondiale (heatmap GBIF)Construction en cours

0 obs · 0 cellules
Construction par partitions temporelles GBIF0%

Source : GBIF — observations agrégées par hexagones 0.2° × 0.2° (~22km). Filtre qualité : précision coordonnée < 10 km. Coloration quantile (q50/70/90/99). Fond carte : OpenFreeMap · © OpenStreetMap.

Distribution mondiale

Calcul de la distribution GBIF· ~10–60 s

Phénologie

Calcul du calendrier d'apparition· ~5–30 s

Consulter sur les bases externes

Observations & statuts

Cartographie

Bibliographie

Note nomenclaturale & synonymesExpert

Note nomenclaturale

TAXREF v18 — INPN/MNHN

Synonymes (2)— redirigent vers cette page

  • Felis guignaMolina, 1782
  • Oncifelis guigna(Molina, 1782)

Sources : Catalogue of Life Cross-References (synonymes) · TAXREF v18 INPN/MNHN (commentaires FR).