Landscape Ecology Approaches to Eastern Massasauga Rattlesnake Conservation PDF Download

Author: Eric Mitchell McCluskey
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ISBN:
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Languages : en
Pages : 111

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Book Description
The Eastern Massasauga Rattlesnake (Sistrurus catenatus catenatus) is a rare species across its range and is thought to be experiencing widespread population declines. Application of conservation-oriented management practices to this species is hindered by incomplete knowledge of the spatial distribution of populations and suitable habitat. To address this obstacle to conservation efforts I developed species distribution models (SDMs) for northeastern Ohio and Michigan and incorporated the resulting habitat suitability maps (HSMs) in a range of landscape ecology applications. These models were generated using the software program Maxent and a series of environmental variables that represent different elements of Eastern Massasauga habitat association, including vegetation attributes (Landsat derived vegetation indices; LiDAR) and relative elevation (topographic position index). The Maxent model with the best predictive capacity to identify extant northeastern Ohio populations used location data from across the state. The model selected LiDAR data as the top contributing variable. Northeastern Ohio is a priority for Eastern Massasauga conservation in the state so I also conducted an analysis of historical land use and land cover change to better understand the distribution of populations and habitat in this region. I used object-based classification techniques to analyze historical aerial photographs (covering ~75 years) and found that present day populations and suitable habitat largely coincided with abandoned agricultural fields. In the absence of natural disturbance agents, agricultural fields that were allowed to go fallow represented an important source of early successional habitats that are vital to Massasauga. The early successional, open canopy habitats that Eastern Massasauga rely on are not permanent fixtures in this landscape making habitat management a necessity. The Michigan SDM was on a much broader scale than the Ohio modeling effort incorporating 60 populations distributed across the lower third of Michigan. The Michigan SDM selected the topographic position index at a 1 km scale as the best predictor variable. This index uses a digital elevation model to provide information on relative peaks or valleys depending the scale of analysis. Importantly, this variable identified the low lying areas more prone to accumulate water and exhibit the moist conditions Massasauga prefer. The widespread distribution of Massasauga populations in Michigan also presented the opportunity to assess habitat availability and connectivity. Using the HSM from the Michigan SDM, I quantified the number of large, contiguous habitat patches and their protected status. Most were located on private land holdings. I compared least cost path (LCP) distances and distance-weighted metrics using three different resistance layers. I found LCPs based on raw HSM values were shorter than class-weighted HSM or land cover based resistance layers. Therefore conservation planners need to carefully consider the underlying resistance layers they use for connectivity based decisions. I also generated a range-wide SDM under different climate change scenarios to provide a future perspective on Massasauga conservation and evaluate potential shifts in habitat suitability and identify at-risk populations. The climate SDM indicated that southern Massasauga populations appear more at risk to changing conditions that may be unfavorable to the species.