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Estimating carrying capacity for sandhill cranes using habitat suitability and spatial optimization models

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  • Downs, Joni A.
  • Gates, Robert J.
  • Murray, Alan T.

Abstract

Northern Ohio supports a small population of greater sandhill cranes (Grus canadensis tabida) that is currently listed as state-endangered. Population restoration efforts are currently under consideration, although it is not known if habitats in the state can support additional nesting pairs. Accurate estimates of breeding pair carrying capacity are necessary before conservation efforts can be effectively developed and implemented. We estimated carrying capacity for nesting sandhill cranes using habitat suitability and spatial optimization models. We first developed a spatially explicit habitat suitability index (HSI) model to identify suitable nesting sites at five locations in northern Ohio. We then used the HSI output to estimate the carrying capacity at each location. We modeled carrying capacity as an anti-covering location problem, a spatial optimization model that determines the maximum number of breeding pairs an area can support, given that nests must be spaced 3000m apart. Our results indicate that habitats in Ohio where cranes currently breed are near carrying capacity, while unoccupied suitable habitats are available in other portions of the state. This analysis enables wildlife managers to identify priority locations for crane conservation in Ohio and to determine which restoration efforts (e.g. habitat restoration or population augmentation) are most likely to succeed at each location. Our methodology provides an important and innovative conservation tool that can be applied to other species with strong attachment to sites (e.g. nest or den) that are optimally spaced at some minimum distance from conspecifics, competitors, predators, or sources of disturbance.

Suggested Citation

  • Downs, Joni A. & Gates, Robert J. & Murray, Alan T., 2008. "Estimating carrying capacity for sandhill cranes using habitat suitability and spatial optimization models," Ecological Modelling, Elsevier, vol. 214(2), pages 284-292.
  • Handle: RePEc:eee:ecomod:v:214:y:2008:i:2:p:284-292
    DOI: 10.1016/j.ecolmodel.2008.02.006
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    References listed on IDEAS

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    1. I. Douglas Moon & Sohail S. Chaudhry, 1984. "An Analysis of Network Location Problems with Distance Constraints," Management Science, INFORMS, vol. 30(3), pages 290-307, March.
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    Cited by:

    1. Alan T. Murray & Ran Wei & Richard L. Church & Matthew R. Niblett, 2019. "Addressing risks and uncertainty in forest land use modeling," Journal of Geographical Systems, Springer, vol. 21(3), pages 319-338, September.
    2. Tian, Yuan & Sun, Chuanwang, 2018. "A spatial differentiation study on comprehensive carrying capacity of the urban agglomeration in the Yangtze River Economic Belt," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 11-22.
    3. Niblett, Matthew R. & Church, Richard L., 2015. "The disruptive anti-covering location problem," European Journal of Operational Research, Elsevier, vol. 247(3), pages 764-773.
    4. Yonghua Zhu & Sam Drake & Haishen Lü & Jun Xia, 2010. "Analysis of Temporal and Spatial Differences in Eco-environmental Carrying Capacity Related to Water in the Haihe River Basins, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1089-1105, April.
    5. Yigang Wei & Cui Huang & Patrick T. I. Lam & Yong Sha & Yong Feng, 2015. "Using Urban-Carrying Capacity as a Benchmark for Sustainable Urban Development: An Empirical Study of Beijing," Sustainability, MDPI, vol. 7(3), pages 1-25, March.
    6. Alan T Murray & Ran Wei & Tony H Grubesic, 2014. "An Approach for Examining Alternatives Attributable to Locational Uncertainty," Environment and Planning B, , vol. 41(1), pages 93-109, February.
    7. Alan Murray & Hyun Kim, 2008. "Efficient identification of geographic restriction conditions in anti-covering location models using GIS," Letters in Spatial and Resource Sciences, Springer, vol. 1(2), pages 159-169, December.
    8. Downs, Joni A. & Heller, Justin H. & Loraamm, Rebecca & Stein, Dana Oppenheim & McDaniel, Cassandra & Onorato, Dave, 2012. "Accuracy of home range estimators for homogeneous and inhomogeneous point patterns," Ecological Modelling, Elsevier, vol. 225(C), pages 66-73.

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