Data from: American marten and fisher do not segregate in space and time during winter in a mixed-forest system ...

Understanding the mechanisms of coexistence between ecologically similar species is an important issue in ecology. Carnivore coexistence may be facilitated by spatial segregation, temporal avoidance, and differential habitat selection. American martens Martes americana and fishers Pekania pennanti a...

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Bibliographic Details
Main Authors: Croose, Elizabeth, Bled, Florent, Fowler, Nicholas L., Beyer Jr., Dean E., Belant, Jerrold L.
Format: Dataset
Language:English
Published: Dryad 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.452n6d3
https://datadryad.org/stash/dataset/doi:10.5061/dryad.452n6d3
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Summary:Understanding the mechanisms of coexistence between ecologically similar species is an important issue in ecology. Carnivore coexistence may be facilitated by spatial segregation, temporal avoidance, and differential habitat selection. American martens Martes americana and fishers Pekania pennanti are medium‐sized mustelids that occur sympatrically across portions of North America, yet mechanisms of coexistence between the two species are not fully understood. We assessed spatial and temporal partitioning in martens and fishers in the Upper Peninsula of Michigan, USA, using camera trap data collected during winter 2013–2015. To investigate spatial segregation, we used a dynamic occupancy model to estimate species’ occupancy probabilities and probabilities of persistence and colonization as a function of covariates and yearly occupancy probability for the other species. Temporal segregation was assessed by estimating diel activity overlap between species. We found weak evidence of spatial or temporal niche ... : Marten and fisher detection data in the Upper Peninsula of MichiganThis file gives covariates, effort, marten detection data, fisher detection data and temporal data collected from the Upper Peninsula of Michigan during 2013-2015. See README file for full description.Croose_et_al_2019_Data_MartenFisherSpatialTemporalPartitioningMichigan.xlsx ...