Maximum Entropy Modeling of Indiana Bat (Myotis Sodalis) Maternity Roost Habitat PDF Download
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Author: Joseph R. Lemen
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 72
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Book Description
Since 1967, the Indiana bat (Myotis sodalis) has been on the U.S. Endangered Species list due to disruption of hibernating bats in caves, summer habitat degradation, and more recently, the onset of White-nose Syndrome. The purpose of this study is to evaluate landscape variables associated with Indiana bat maternity roost trees in an attempt to better understand what factors play a role in their distribution in north central Missouri. I tracked reproductive female Indiana bats to 20 different primary and secondary roost trees; these are roosts that had multiple bats visit them on multiple occasions. GPS location data for these roosts and 6 environmental parameters (aspect, distance to forest edge, distance to stream or river, elevation, percent tree canopy, and slope) were used as input variables for a MaxEnt model of species distribution. I used ENMTools to identify which analysis features produced the best MaxEnt model for this data set. Linear and quadratic analysis features, separately, fit the data the best. When cross-validated through four replicates, the two models performed equally well with area under the curve (AUC) values of 0.792 and 0.764. Distance to forest edge was the variable with the most influence in both models, followed by elevation and distance to stream. Macro-scale environmental variables provide insight to modeling areas in which Indiana bat maternity roosts might be found in the future. This provides researchers and wildlife managers with a toolset to identify potential habitat to aid in species recovery.
Author: Joseph R. Lemen
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 72
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Book Description
Since 1967, the Indiana bat (Myotis sodalis) has been on the U.S. Endangered Species list due to disruption of hibernating bats in caves, summer habitat degradation, and more recently, the onset of White-nose Syndrome. The purpose of this study is to evaluate landscape variables associated with Indiana bat maternity roost trees in an attempt to better understand what factors play a role in their distribution in north central Missouri. I tracked reproductive female Indiana bats to 20 different primary and secondary roost trees; these are roosts that had multiple bats visit them on multiple occasions. GPS location data for these roosts and 6 environmental parameters (aspect, distance to forest edge, distance to stream or river, elevation, percent tree canopy, and slope) were used as input variables for a MaxEnt model of species distribution. I used ENMTools to identify which analysis features produced the best MaxEnt model for this data set. Linear and quadratic analysis features, separately, fit the data the best. When cross-validated through four replicates, the two models performed equally well with area under the curve (AUC) values of 0.792 and 0.764. Distance to forest edge was the variable with the most influence in both models, followed by elevation and distance to stream. Macro-scale environmental variables provide insight to modeling areas in which Indiana bat maternity roosts might be found in the future. This provides researchers and wildlife managers with a toolset to identify potential habitat to aid in species recovery.
Author:
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 32
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Book Description
Author: Karen Tyrell
Publisher:
ISBN:
Category : Bats
Languages : en
Pages :
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Author: Virgil Brack
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 98
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Author: 3D/Environmental, Inc
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 92
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Author:
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 154
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Author: Jocelyn R. Karsk
Publisher:
ISBN:
Category : Northern long-eared myotis
Languages : en
Pages : 0
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Book Description
This study presents the findings of a habitat suitability model for the northern long-eared bat maternity roosting habitat (Myotis septentrionalis) in a three-county region in southern Indiana. The northern long-eared bat was added to the endangered species list in 2015 and understanding its' habitat selection at the landscape scale is important to aid in minimizing population declines. Female northern long-eared bats were captured and fitted with transmitters in Morgan Monroe and Yellowwood state forests during the 2012-2015 summer maternity season. These bats were tracked to day roosts where location and habitat information was recorded. We used ArcMap to plot roost tree locations and extract landscape-level environmental variables. MaxEnt was used to evaluate which environmental variables of interest were of greatest importance to northern long-eared bats in our study. Our final model included a map indicating areas most suitable to northern long-eared bats. Our model indicated that elevation, distance to roads, and distance to regeneration openings had the most influence on which habitats bats used for roosting.
Author: Kimberly Bea Richardson
Publisher:
ISBN:
Category : Myotis sodalis
Languages : en
Pages : 70
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Author: 3D/Environmental, Inc
Publisher:
ISBN:
Category : Bats
Languages : en
Pages : 44
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Book Description
Author: Michael G. Just
Publisher:
ISBN:
Category :
Languages : en
Pages :
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It is estimated that 95% of all federally endangered Indiana bats (Myotis sodalis) hibernate in 71 hibernacula in the eastern US. Given the species0́9 high site fidelity, seasonally heightened population densities, and the limited availability of suitable overwintering sites, land use and cover change (LUCC) near hibernacula is expected to affect wintering populations. The landscapes surrounding hibernacula not only provide critical roosting and foraging habitat but also support the highly specific microclimates Indiana bats need for successful hibernation. To date, the assumption has been that the greater the amount of forest cover, the better the habitat for Indiana bats. The extent to which Indiana bat hibernacula may be threatened by LUCC has not been previously investigated. Land adjacent to most hibernacula does not have land use or conservation protections; consequently, it is important that LUCC near hibernacula is evaluated to assess and prevent harmful impacts to wintering Indiana bat populations. Landscape characterizations included measurements of land cover composition and spatial configurations, as well as climate and insolation variables. I modeled potential future LUCC through 2016 near 225 Indiana bat hibernacula using an empirically derived, stochastic projection model that combines Markov chain analysis, multi-criteria evaluation, and cellular automata. Drivers of the model included biophysical and socioeconomic variables. Characterization and modeling were performed at two spatial extents and at several management groupings chosen for their relevance to the species0́9 biology and conservation. Two spatial extents approximating areas expected to be used by bats were considered, owing to the importance of scale in species habitat use. The change in the forest proportion of the landscape ranged from 7.38 - 98.99% (mean 74.42% ± 2.31% [90% CI]) in 1992, 4.91 - 95.142% (66.99% ± 2.12%) in 2001, and a projected 3.33 - 78.09% (47.75% ± 2.15%) in 2016. This change represents a 26.67% decrease in the mean proportion of forest surrounding hibernacula projected over 24 years. The mean proportion of developed land was projected to increase by 7.82% by 2016. The extent to which these rates of change in land use and cover will support conservation of the Indiana bat is an important question. LUCC has and will likely trend towards more-isolated forest patches and, in some cases, extremely heterogeneous landscapes. Results indicate that bat populations might best be supported by a certain degree and type of landscape heterogeneity rather than by maximum contiguous forest cover. The major findings of this research are: 1.) Hibernacula with greatest Indiana bat population counts were surrounded by landscapes that were more heterogeneous than hibernacula with lower counts. Bat populations at hibernacula were not highly correlated with forest cover alone as had been predicted. 2.) Privately-owned hibernacula had more heterogeneous landscapes than federally-owned hibernacula. 3.) Landscapes describing the smaller, more proximal expected use area near hibernacula were less heterogeneous than those for the larger expected use area. 4.) Forest cover declined and is projected to decline further in every landscape surrounding hibernacula in this study. 5.) There was no clear pattern among landscape variables and geographic or management groupings. 6.) There was a linear relationship between Indiana bat population counts and landscape variables, including insolation, edge density, and proportion of forest cover.
