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Identifying Wildlife Linkages and Wildlife Collision Hot Spots on Oregon Highways Mason, Bruce & Girard, Inc. Oregon Department of Transportation Oregon Department of Fish and Wildlife. Results and Discussion
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Identifying Wildlife Linkages and Wildlife Collision Hot Spots on Oregon Highways Mason, Bruce & Girard, Inc. Oregon Department of Transportation Oregon Department of Fish and Wildlife • Results and Discussion • The Hot Spot Analysis identified and mapped high frequency wildlife carcass incidents on all state highways in Oregon. • This was one of the first uses of the Kernel Density Method to map wildlife collision hot spots over such a large study area (7,415 linear miles of highway). • The Kernel Density Method provided a useful visual representation of wildlife hot spots (see following figure). Introduction The interaction between wildlife and highways has significant ecological, economic, and social impacts. Highways restrict wildlife movement across the landscape by fragmenting habitat, thereby limiting or completely severing access to resources that support important life history needs. Given the thousands of miles of state-owned roads across Oregon, ODOT and ODFW developed The Oregon Wildlife Movement Strategy to begin addressing wildlife movement issues statewide. The first step, described in this poster, was to identify and prioritize areas that presented wildlife movement problems related to highways. The Hot Spot Analysis and the Wildlife Linkages Study are both components of the Wildlife Movement Strategy. The initial results of these two studies are presented below. Example of a linkage areas that crosses a transportation corridor Linkage dataset with current priorities in Oregon • Next Steps: • Make transportation managers aware of the hot spot and linkages datasets. • Conduct additional surveys in hot spots and linkage areas to determine appropriate actions for improving wildlife movement. • Use linkage dataset in conjunction with hot spot data set to improve wildlife crossings and wildlife movement across Oregon. • Hot Spot Analysis • ODOT Maintenance dispatch carcass records were used because these are the most abundant sources of data available for all highways in Oregon. • These records do not represent comprehensive data on animal vehicle collisions (AVCs) because the records mainly represent animal carcasses that are a highway safety problem (e.g., large mammals such as deer and elk). • These records are neither spatially accurate nor verifiable as true AVCs. • Dispatch records are based on a personal account of a carcass observation. • Statewide (Regions 1 – 5) records from 1995 – 2006 were used. • The final data set included 17,825 mapped carcass records. Graphic Results of the Kernel Density Analysis • The Nearest Neighbor Index confirmed clustering of the data (NNI = <1 and p<0.001). • The Ripley’s K-Statistic indicated that clustering was significant at all distances between 0 and 10 miles. • The Kernel Density Method depicts the widespread nature of wildlife collisions and some distinctive high density hot spots on state highways. • Wildlife Linkages Study • Through a series of workshops, ODFW and ODOT identified wildlife linkage (key movement) areas (emphasizing areas that crossed paved roads) for a suite of focal species including big game, small mammals, amphibians, and reptiles. The result of these workshops is mapped information showing wildlife linkage areas across roads in Oregon based on expert opinion. The Wildlife Movement Strategy Working Group then prioritized the linkage areas based on a number of criteria. The following two figures show examples of the Wildlife Linkage Study results. • Methods: • Step 1: “Scrub” data to create a statewide GIS dataset. Scrubbing removed 44% of the records due to data quality and GIS mapping problems. • Step 2: Look for evidence of clustering with a Nearest Neighbor Analysis. • Step 3: Spatially analyze the data with a Ripley’s K-Distribution to identify the appropriate scale at which clustering of wildlife carcass occurs. • Step 4: Map data using the Kernel Density Method to depict clustering. Wildlife underpass on SR240 in Washington (source: WDOT) Proposed overpass for elk along the I-90 corridor (source: WDOT) For more information on the Oregon Wildlife Movement Strategy: www.dfw.state.or.us/conservation strategy For GIS data on linkages and collision hot spots: http://nrimp.dfw.state.or.us/nrimp/default.aspx