scholarly journals Habitat selection by wolves and mountain lions during summer in western Montana

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254827
Author(s):  
Collin J. Peterson ◽  
Michael S. Mitchell ◽  
Nicholas J. DeCesare ◽  
Chad J. Bishop ◽  
Sarah S. Sells

In the Northern Rockies of the United States, predators like wolves (Canis lupus) and mountain lions (Puma concolor) have been implicated in fluctuations or declines in populations of game species like elk (Cervus canadensis) and mule deer (Odocoileus hemionus). In particular, local distributions of these predators may affect ungulate behavior, use of space, and dynamics. Our goal was to develop generalizable predictions of habitat selection by wolves and mountain lions across western Montana. We hypothesized both predator species would select habitat that maximized their chances of encountering and killing ungulates and that minimized their chances of encountering humans. We assessed habitat selection by these predators during summer using within-home range (3rd order) resource selection functions (RSFs) in multiple study areas throughout western Montana, and tested how generalizable RSF predictions were by applying them to out-of-sample telemetry data from separate study areas. Selection for vegetation cover-types varied substantially among wolves in different study areas. Nonetheless, our predictions of 3rd order selection by wolves were highly generalizable across different study areas. Wolves consistently selected simple topography where ungulate prey may be more susceptible to their cursorial hunting mode. Topographic features may serve as better proxies of predation risk by wolves than vegetation cover-types. Predictions of mountain lion distribution were less generalizable. Use of rugged terrain by mountain lions varied across ecosystem-types, likely because mountain lions targeted the habitats of different prey species in each study area. Our findings suggest that features that facilitate the hunting mode of a predator (i.e. simple topography for cursorial predators and hiding cover for stalking predators) may be more generalizable predictors of their habitat selection than features associated with local prey densities.

2020 ◽  
Author(s):  
Kimberly Malcolm ◽  
Marianne Cheveau ◽  
Martin-Hugues St-Laurent

Abstract Although most predators usually avoid human activity, some individuals instead will habituate to it. Habituation to human presence and infrastructure by predator species such as wolves may lead to conflicts implicating serious risks for public safety and for the survival of the animals involved. Accordingly, this research project aims to shed light on the relationship between wolves and recreational structures using telemetry data from 10 wolves located in the Parc National du Mont-Tremblant (Québec, Canada) and its surrounding area. Using resource selection functions (RSFs), we observed wolf habitat selection in relation to these structures during three biological periods (denning: May–June; rendezvous: June–October; and nomadic: October–April). Our results revealed that wolves selected proximity to linear structures (roads and trails) during the denning and rendezvous periods, but this selection depended on the density of such structures in the surroundings (i.e., functional response in habitat selection): wolves selected proximity to linear structures when these structures were present at greater densities. Wolves avoided housing structures (campsites, cabins, park facilities), especially when these structures were present at greater densities, suggesting that wolves perceived them as a risk. These results suggest that conflicts between visitors and wolves were unlikely to occur in campgrounds during the time of our study. This could indicate that the management measures implemented by the park following the past episodes of conflict were effective. However, wolves’ use of linear structures could lead to increased tolerance to human proximity if left unmanaged.


2020 ◽  
Author(s):  
JA Dellinger ◽  
B Cristescu ◽  
J Ewanyk ◽  
DJ Gammons ◽  
D Garcelon ◽  
...  

© 2019 The Wildlife Society Wildlife agencies are generally tasked with managing and conserving species at state and local levels simultaneously. Thus, it is necessary for wildlife agencies to understand basic ecological processes of a given species at multiple scales to aid decision making at commensurately varied spatial and behavioral scales. Mountain lions (Puma concolor) occur throughout California, USA, and are at the center of a variety of management and conservation issues. For example, they are genetically and demographically at risk in 1 region yet apparently stable and negatively affecting endangered species in another. Currently, no formal plan exists for mountain lions in California to deal with these diverse scenarios involving issues of local mountain lion population viability and problems related to predation of endangered species. To facilitate development of a state-wide management and conservation plan, we quantified habitat selection by mountain lions at 2 spatial scales across the range of environmental conditions in which the species is found in California. Our analyses used location data from individuals (n = 263) collared across the state from 2001–2019. At the home range scale, mountain lions selected habitat to prioritize meeting energetic demands. At the within home range scale, mountain lions avoided areas of human activity. Further, our analyses revealed 165,350–170,085 km2, depending on season, of suitable mountain lion habitat in California. Fifty percent of the suitable habitat was on unprotected lands and thus vulnerable to development. These habitat selection models will help in the development of a state-wide conservation and management plan for mountain lions in California by guiding mountain lion population monitoring through time, prioritization of habitat to be conserved for maintaining demographic connectivity and gene flow, and efforts to mediate mountain lion-prey interactions. Our work and application area will help with wildlife policy and management decisions related to depredation problems at the local scale and issues of habitat connectivity at the statewide scale. © 2019 The Wildlife Society.


2017 ◽  
Author(s):  
Maya N. Evanitsky ◽  
Richard J. George ◽  
Stephen Johnson ◽  
Stephanie Dowell ◽  
George H. Perry

AbstractMountain lions (Puma concolor) were once endemic across the United States. The Northeastern population of mountain lions has been largely nonexistent since the early 1800s and was officially declared extinct in 2011. This regionally extinct mountain lion is Pennsylvania State University’s official mascot, where it is referred to as the ‘Nittany Lion’. Our goal in this study was to use recent methodological advances in ancient DNA and massively parallel sequencing to reconstruct complete mitochondrial DNA (mtDNA) genomes of multiple Nittany Lions by sampling from preserved skins. This effort is part of a broader Nittany Lion Genome project intended to involve undergraduates in ancient DNA and bioinformatics research and to engage the broader Penn State community in discussions about conservation biology and extinction. Complete mtDNA genome sequences were obtained from five individuals. When compared to previously published sequences, Nittany Lions are not more similar to each other than to individuals from the Western U.S. and Florida. Supporting previous findings, North American mountain lions overall were more closely related to each other than to those from South America and had lower genetic diversity. This result emphasizes the importance of continued conservation in the Western U.S. and Florida to prevent further regional extinctions.


2020 ◽  
Author(s):  
JA Dellinger ◽  
B Cristescu ◽  
J Ewanyk ◽  
DJ Gammons ◽  
D Garcelon ◽  
...  

© 2019 The Wildlife Society Wildlife agencies are generally tasked with managing and conserving species at state and local levels simultaneously. Thus, it is necessary for wildlife agencies to understand basic ecological processes of a given species at multiple scales to aid decision making at commensurately varied spatial and behavioral scales. Mountain lions (Puma concolor) occur throughout California, USA, and are at the center of a variety of management and conservation issues. For example, they are genetically and demographically at risk in 1 region yet apparently stable and negatively affecting endangered species in another. Currently, no formal plan exists for mountain lions in California to deal with these diverse scenarios involving issues of local mountain lion population viability and problems related to predation of endangered species. To facilitate development of a state-wide management and conservation plan, we quantified habitat selection by mountain lions at 2 spatial scales across the range of environmental conditions in which the species is found in California. Our analyses used location data from individuals (n = 263) collared across the state from 2001–2019. At the home range scale, mountain lions selected habitat to prioritize meeting energetic demands. At the within home range scale, mountain lions avoided areas of human activity. Further, our analyses revealed 165,350–170,085 km2, depending on season, of suitable mountain lion habitat in California. Fifty percent of the suitable habitat was on unprotected lands and thus vulnerable to development. These habitat selection models will help in the development of a state-wide conservation and management plan for mountain lions in California by guiding mountain lion population monitoring through time, prioritization of habitat to be conserved for maintaining demographic connectivity and gene flow, and efforts to mediate mountain lion-prey interactions. Our work and application area will help with wildlife policy and management decisions related to depredation problems at the local scale and issues of habitat connectivity at the statewide scale. © 2019 The Wildlife Society.


2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Jeffrey T. Villepique ◽  
Becky M. Pierce ◽  
Vernon C. Bleich ◽  
Aleksandra Andic ◽  
R. Terry Bowyer

We investigated influences of risk of predation by mountain lions (Puma concolor), topographic metrics at multiple scales, and vegetation, land, and snow cover on resource selection by Sierra Nevada bighorn sheep (Ovis canadensis sierrae), an endangered taxon, during winters 2002–2007, in the Sierra Nevada, California, USA. We hypothesized that those mountain ungulates would trade off rewards accrued from using critical low-elevation habitat in winter for the safety of areas with reduced risk of predation. Sierra Nevada bighorn sheep did not trade off benefits of forage for reduced risk of predation but selected areas of high solar radiation, a correlate of vegetation productivity, where risk of predation by mountain lions was greatest, while mitigating indirect risk of predation by selecting for steep, rugged terrain. Bighorn sheep selected more strongly for areas where mountain lions were active, than for low-elevation habitat in winter, likely because mountain lions were most active in those areas of bighorn sheep winter ranges overlapping ranges of mule deer (Odocoileus hemionus), where both ungulates accrued forage benefits. We demonstrated reduced benefit of migration to low elevation during drought years, providing an alternative explanation to the predator-induced abandonment hypothesis for the disuse of low-elevation winter range observed during drought years.


2015 ◽  
Vol 130 (3) ◽  
pp. 1117-1165 ◽  
Author(s):  
Hunt Allcott

Abstract “Site selection bias” can occur when the probability that a program is adopted or evaluated is correlated with its impacts. I test for site selection bias in the context of the Opower energy conservation programs, using 111 randomized control trials involving 8.6 million households across the United States. Predictions based on rich microdata from the first 10 replications substantially overstate efficacy in the next 101 sites. Several mechanisms caused this positive selection. For example, utilities in more environmentalist areas are more likely to adopt the program, and their customers are more responsive to the treatment. Also, because utilities initially target treatment at higher-usage consumer subpopulations, efficacy drops as the program is later expanded. The results illustrate how program evaluations can still give systematically biased out-of-sample predictions, even after many replications.


2006 ◽  
Vol 6 (4) ◽  
pp. 957-974 ◽  
Author(s):  
L. Giglio ◽  
G. R. van der Werf ◽  
J. T. Randerson ◽  
G. J. Collatz ◽  
P. Kasibhatla

Abstract. We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra MODIS data and ancillary vegetation cover information. Using regression trees constructed for 14 different global regions, MODIS active fire observations were calibrated to burned area estimates derived from 500-m MODIS imagery based on the assumption that burned area is proportional to counts of fire pixels. Unlike earlier methods, we allow the constant of proportionality to vary as a function of tree and herbaceous vegetation cover, and the mean size of monthly cumulative fire-pixel clusters. In areas undergoing active deforestation, we implemented a subsequent correction based on tree cover information and a simple measure of fire persistence. Regions showing good agreement between predicted and observed burned area included Boreal Asia, Central Asia, Europe, and Temperate North America, where the estimates produced by the regression trees were relatively accurate and precise. Poorest agreement was found for southern-hemisphere South America, where predicted values of burned area are both inaccurate and imprecise; this is most likely a consequence of multiple factors that include extremely persistent cloud cover, and lower quality of the 500-m burned area maps used for calibration. Application of our approach to the nine remaining regions yielded comparatively accurate, but less precise, estimates of monthly burned area. We applied the regional regression trees to the entire archive of Terra MODIS fire data to produce a monthly global burned area data set spanning late 2000 through mid-2005. Annual totals derived from this approach showed good agreement with independent annual estimates available for nine Canadian provinces, the United States, and Russia. With our data set we estimate the global annual burned area for the years 2001-2004 to vary between 2.97 million and 3.74 million km2, with the maximum occurring in 2001. These coarse-resolution burned area estimates may serve as a useful interim product until long-term burned area data sets from multiple sensors and retrieval approaches become available.


Author(s):  
Audra A. Huffmeyer ◽  
Jeff A. Sikich ◽  
T. Winston Vickers ◽  
Seth P.D. Riley ◽  
Robert K. Wayne

2020 ◽  
Author(s):  
Thiago C. Dias ◽  
Jared A. Stabach ◽  
Qiongyu Huang ◽  
Marcelo B. Labruna ◽  
Peter Leimgruber ◽  
...  

AbstractHuman activities are changing landscape structure and function globally, affecting wildlife space use, and ultimately increasing human-wildlife conflicts and zoonotic disease spread. Capybara (Hydrochoerus hydrochaeris) is a conflict species that has been implicated in the spread and amplification of the most lethal tick-borne disease in the world, the Brazilian spotted fever (BSF). Even though essential to understand the link between capybaras, ticks and the BSF, many knowledge gaps still exist regarding the effects of human disturbance in capybara space use. Here, we analyzed diurnal and nocturnal habitat selection strategies of capybaras across natural and human-modified landscapes using resource selection functions (RSF). Selection for forested habitats was high across human- modified landscapes, mainly during day- periods. Across natural landscapes, capybaras avoided forests during both day- and night periods. Water was consistently selected across both landscapes, during day- and nighttime. This variable was also the most important in predicting capybara habitat selection across natural landscapes. Capybaras showed slightly higher preferences for areas near grasses/shrubs across natural landscapes, and this variable was the most important in predicting capybara habitat selection across human-modified landscapes. Our results demonstrate human-driven variation in habitat selection strategies by capybaras. This behavioral adjustment across human-modified landscapes may be related to BSF epidemiology.


2008 ◽  
Vol 12 (1) ◽  
pp. 113 ◽  
Author(s):  
Christian Giovanii Estrada Hernández

RESUMEN: La Selva Maya es el bosque tropical de hoja ancha más extenso de Centroamérica, se extiende entre México, Guatemala y Belice. El jaguar y el puma, son los felinos más grandes de América. En esta zona viven simpátricamente por lo que se presupone segregación en alguno de los componentes de su nicho ecológico. En este estudio se analizaron y compararon tres de los componentes principales del nicho: dieta, uso de hábitat y patrones de actividad, con el objetivo de evaluar si existe segregación entre el jaguar y el puma. Para la obtención de los datos se colectaron excrementos de manera oportunista, y se utilizaron trampas de cámaras automáticas en cuatro áreas protegidas. Se analizo la zona de estudio, a través de sistemas de información geográfica para determinar las proporciones de distintos tipos de hábitat presentes, y se colectaron datos de abundancias de las presas. Se analizaron los patrones y en la dieta, en el hábitat utilizado y en el horario de actividad. Se determino que el jaguar tuvo una dieta diferente y mas amplia comparada con la del puma, así también que este consume en promedio, presas más pequeñas. Las presas preferidas por elpuma fueron, tres especies de venados y tepezcuintles. Para el jaguar fueron coches de monte, pizotes y armadillos. Ambas especies presentaron un patrón similar de uso de hábitat, donde el "bosque alto" fue utilizado proporcionalmente a su abundancia, y el puma evitó el "bosque bajo". En cuanto a los patrones de actividad, ambos prefirieron horas nocturnas para desplazarse, aunque el puma presento mayor variabilidad. Se observo que ambas especies no se segregan mutuamente, espacial ni temporalmente. La frecuente utilización del "bosque bajo" y su relación con las aguadas y arroyos, es un factor importante en el mantenimiento de poblaciones de grandes felinos en la Selva MayaPALABRAS CLAVE: Felidae, Panthera onca, Puma concolor, coexistencia, nicho ecológico, Selva Maya, segregación ecológica.ABSTRACT: The Mayan Forest is the largest tropical broad-leaf forest remainder in Central America which extends between Mexico, Guatemala and Belize. Jaguar and puma are the biggest American wild cats. In this area both live sympatric which suggest segregation in at least one of its ecological niche components. In this study I analyzed and compared three of the principal niche components: diet, habitat use and activity patterns, with the main objective of assess if occurs ecological segregation among jaguar and puma. To obtain the data it was collected  jaguar and puma’s scats in an opportunistic way, and was used automatic camera traps in four protected areas. I analyzed the study area by geographic information system (GIS) to determine proportions of different habitat types, and also I used  previous collected prey abundance data. I analyzed patterns in diet, in habitat use and temporal activity. I found that jaguar had a wider prey spectrum than puma; jaguar took (in average) smallest preys, consequently, diets were significantly different. Puma preferred deer, brocket deer and paca as main prey; in contrast, jaguar preferred collared pecari, coati and armadillo. Both predator species presented a similar pattern in habitat usage, in which "highland forest" was used accordingly with its availability and puma avoided "lowland forest". About activity patterns, both were more active in the night time, however, puma was more variable in this aspect. Both species did not show segregation spatially or temporally. KEYWORDS: Felidae, Panthera onca, Puma concolor, coexistence, ecologic niche, Mayan forest, ecologic segregation.


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