TY - JOUR
T1 - Geodesigning landscape linkages
T2 - Coupling GIS with wildlife corridor design in conservation planning
AU - Perkl, Ryan M.
N1 - Funding Information:
Ryan Perkl , Ph.D. is an assistant professor in the University of Arizona’s School of Landscape Architecture and Planning. Dr. Perkl specializes in Geographic Information Science (GIS), conservation planning, landscape connectivity modeling, wildlife corridor planning and design, and geodesign. Dr. Perkl’s accomplishments include funded research from the Arizona Department of Game and Fish and the National Park Service. He has also received several best presenter “best of awards” for his work presented at both national and international conferences Dr. Perkl was also the recipient of the Craig Johnson Fellowship at Utah State University in 2013 in recognition of his contributions to conservation planning.
Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Conservation planners continue to face challenges in quantifying and ameliorating the negative ecological effects of landscape fragmentation on species populations. While significant methodological and technological advancements have led to more analytically robust assessments of landscape connectivity, the end result of these efforts is often the demarcation of corridor areas void of any significant detailed physical design of their interiors. To address this shortcoming, this work proposes the creation of a hybrid geodesign and connectivity conservation framework and the development of a new tool, or Automated Design Model (ADM), for use in wildlife corridor design. The ADM's primary purpose is to generate detailed vegetation planting designs that may be applied to the interiors of previously modeled corridors. When coupled with existing methods for delineating the spatial extents of biologically best corridors, ADM derived vegetation designs may prove useful in mitigating negative edge effects and enhancing species movement, thus potentially improving the corridors connectivity function. Using a series of geospatial models and rule-based pattern generators, the ADM derived designs are highly customizable to locally specific landscape conditions, varied focal species requirements, and differences spatial structures known to facilitate wildlife movement. Moreover, the automated nature of the ADM allows for detailed design at the landscape-scale, has broad applicability in connectivity conservation and landscape restoration, and may help in filing data gaps necessary for moving towards planning and design implementation. Towards this end, this work proposes a basis for developing a common understanding of what constitutes geodesign, proposes the development of a hybrid geodesign/conservation planning framework, and discusses the development of the ADM as a mechanism for improving the functional design of wildlife corridors.
AB - Conservation planners continue to face challenges in quantifying and ameliorating the negative ecological effects of landscape fragmentation on species populations. While significant methodological and technological advancements have led to more analytically robust assessments of landscape connectivity, the end result of these efforts is often the demarcation of corridor areas void of any significant detailed physical design of their interiors. To address this shortcoming, this work proposes the creation of a hybrid geodesign and connectivity conservation framework and the development of a new tool, or Automated Design Model (ADM), for use in wildlife corridor design. The ADM's primary purpose is to generate detailed vegetation planting designs that may be applied to the interiors of previously modeled corridors. When coupled with existing methods for delineating the spatial extents of biologically best corridors, ADM derived vegetation designs may prove useful in mitigating negative edge effects and enhancing species movement, thus potentially improving the corridors connectivity function. Using a series of geospatial models and rule-based pattern generators, the ADM derived designs are highly customizable to locally specific landscape conditions, varied focal species requirements, and differences spatial structures known to facilitate wildlife movement. Moreover, the automated nature of the ADM allows for detailed design at the landscape-scale, has broad applicability in connectivity conservation and landscape restoration, and may help in filing data gaps necessary for moving towards planning and design implementation. Towards this end, this work proposes a basis for developing a common understanding of what constitutes geodesign, proposes the development of a hybrid geodesign/conservation planning framework, and discusses the development of the ADM as a mechanism for improving the functional design of wildlife corridors.
KW - Automated design model (ADM)
KW - Connectivity conservation
KW - Conservation planning
KW - Geodesign
KW - Vegetation modeling
KW - Wildlife corridor
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U2 - 10.1016/j.landurbplan.2016.05.016
DO - 10.1016/j.landurbplan.2016.05.016
M3 - Article
AN - SCOPUS:84973864258
SN - 0169-2046
VL - 156
SP - 44
EP - 58
JO - Landscape and Urban Planning
JF - Landscape and Urban Planning
ER -