Habitat requirements of the Alpine marmotMarmota marmota in re-introduction areas of the Eastern Italian Alps. Formulation and validation of habitat suitability models

Borgo, A.

doi:10.1007/bf03192501

Cited by 33 publications

(21 citation statements)

References 19 publications

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“…A high percentage of outcrops and debris cover negatively influences the presence of marmot burrows, showing that the species avoid the use of areas without vegetation, favouring areas covered with alpine meadows, as also reported by many authors (e.g. Borgo 2003;Lóopez et al 2009). In Fig.…”

Section: Parameter Estimatessupporting

confidence: 71%

“…The slope positively influences the presence of burrows. The northness negatively influences the presence of burrows, thus marmot prefers southerly exposed slopes, as previously reported in several studies (Borgo 2003). Differently from what is reported in literature, in our case the marmot shows a preference for the westerly exposed slopes, since the parameter of eastness is negative.…”

Section: Parameter Estimatessupporting

confidence: 63%

“…and 1950 m a.s.l. (Cantini et al 1997;Borgo 2003) with a maximum of about 3,000 m a.s.l.. Since the valley ranges between 2,200 and 3,100 m a.s.l., at the higher limit of the marmot altitude range, the decrease of the suitability with the altitude is coherent with past studies.…”

Section: Parameter Estimatesmentioning

confidence: 96%

“…Alpine marmot is a rodent endemic to Europe and mainly distributed in the Alps (Herrero et al 2008). It inhabits burrow systems, usually on south-facing meadows covered with grass or shrubs (Cantini et al 1997;Borgo 2003;Lóopez et al 2010). The altitude range is comprised between 1,000 and 3,000 m a.s.l.…”

Section: Case Studiesmentioning

confidence: 99%

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Robust Bayesian model averaging for the analysis of presence–absence data

Corani

Mignatti

2015

Environ Ecol Stat

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When developing a species distribution model, usually one tests several competing models such as logistic regressions characterized by different sets of covariates. Yet, there is an exponential number of subsets of covariates to choose from. This generates the problem of model uncertainty. Bayesian model averaging (BMA) is a state-of-the-art approach to deal with model uncertainty. BMA weights the inferences of multiple models. However, the results yielded by BMA depend on the prior probability assigned to the models. Credal model averaging (CMA) extends BMA towards robustness. It substitutes the single prior over the models by a set of priors. The CMA inferences (e.g., posterior probability of inclusion of a covariate, coefficient of a covariate, probability of presence) are intervals. The interval shows the sensitivity of the BMA estimate on the prior over the models. CMA detects the prior-dependent instances, namely cases in which the most probable outcome becomes presence or absence depending on the adopted prior over the models. On such prior-dependent instances, BMA behaves almost as a random guesser. The weakness of BMA on the prior-dependent instances is to our knowledge pointed out for the first time in the ecological literature. On the prior-dependent instances CMA avoids random guessing acknowledging undecidability. In this way it stimulates the decision maker to convey Handling Editor: Bryan F. J. Manly. G. Corani (B) Istituto Dalle Molle di studi sull'Intelligenza Artificiale (IDSIA), Scuola universitaria professionale della Svizzera italiana (SUPSI), Università della Svizzera italiana (USI),

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Section: Parameter Estimatessupporting

confidence: 71%

Section: Parameter Estimatessupporting

confidence: 63%

Section: Parameter Estimatesmentioning

confidence: 96%

Section: Case Studiesmentioning

confidence: 99%

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Robust Bayesian model averaging for the analysis of presence–absence data

Corani

Mignatti

2015

Environ Ecol Stat

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“…Studies performed in the Tatra Mountains (Bačkor 2009), Rodna Mountains (Szabo, 2010), the French and Italian Alps (Allainé et al, 1994;Borgo, 2003) and the Pyrenees (Herrero et al, 1994) revealed significant information on species current distribution, dynamics and habitat requirements in the mountaineous areas of Europe.…”

Section: Introductionmentioning

confidence: 99%

Alpine marmot populations after four decades of living in the glacial areas of the Făgăraş, Rodna and Retezat Mountains, Romania

Geacu¹,

Dumitrașcu²

2017

JEB

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Aim : Methodology :Results : Interpretation :To highlight the situation of the alpine marmot (Marmota marmota) after four decades of colonisation in three mountain ranges of Romania: the Făgăraş, Rodna and Retezat.To reach this target, summer field investigations have been conducted in various areas of the three mountain ranges, and in the archives of central and local forest and hunting administrative units, with a view to identify the data needed to establish the dynamics of these populations.A synthesis study has been made to point out the population dynamics of this rodent (Sciuridae Family), the connection between populations and the geographical conditions in the glacial areas of the three mountain groups of the Eastern and Southern Carpathians.A typical rodent of the Alpine regions, the alpine marmot s are perfectly integrated in thair new habitats with several colonies of these populations in each mountain group. At the same time, the species has extended its areas by up to 20 km.

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Winter Versus Summer Habitat Selection in a Threatened Ground Squirrel

et al. 2020

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Hibernation is a strategy many species employ to survive periods of thermal stress or resource shortage (e.g., harsh thermal conditions, food limitations) and habitat requirements of hibernating species may differ between summer (the active season) and winter (during hibernation). Accounting for seasonal differences in habitat affinities will help ensure that management actions are more beneficial and land-use policies are more appropriate. The northern Idaho ground squirrel (Urocitellus brunneus) is a federally listed threatened species that is in decline and hibernates for approximately 8 months per year. We collared northern Idaho ground squirrels in Adams County, Idaho from 2013-2017. The majority of northern Idaho ground squirrels we collared selected hibernacula outside of the areas they used during the active season. Furthermore, habitat features of hibernacula locations differed from habitat features of active-season areas. Hibernacula locations had greater canopy closure compared to active-season locations (36.9% and 7.0% canopy closure, respectively) and hibernaculum habitat features (particularly distance to nearest log) influenced overwinter survival. Our results suggest that recovery efforts for northern Idaho ground squirrels should include protection and management for the full range of habitat conditions used throughout summer and winter. More broadly, we emphasize the need to identify and protect habitat during all seasons because habitat requirements can differ substantially during different portions of an animal's annual cycle and effective conservation will require management of year-round habitat needs.

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Habitat requirements of the Alpine marmotMarmota marmota in re-introduction areas of the Eastern Italian Alps. Formulation and validation of habitat suitability models

Cited by 33 publications

References 19 publications

Robust Bayesian model averaging for the analysis of presence–absence data

Robust Bayesian model averaging for the analysis of presence–absence data

Alpine marmot populations after four decades of living in the glacial areas of the Făgăraş, Rodna and Retezat Mountains, Romania

Winter Versus Summer Habitat Selection in a Threatened Ground Squirrel

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