Patch metrics of roosting site selection by Lyle’s flying fox (Pteropus lylei Andersen, 1908) in a human-dominated landscape in Thailand

Duengkae, Prateep; Srikhunmuang, Pongsit; Chaiyes, Aingorn; Suksavate, Warong; Pongpattananurak, Nantachai; Wacharapluesadee, Supaporn; Hemachudha, Thiravat

doi:10.2478/foecol-2019-0009

Abstract

The association between patch metrics and roosting site (n = 31) suitability of Lyle’s flying fox (Pteropus lylei) in 26 Central Eastern and Western provinces of Thailand was quantified. Land use classes with 90-m resolution were identified based on various vegetation and land cover types to calculate patch metrics using FRAGSTATS. Then, Maximum Entropy Modeling (MaxEnt) was performed using patch metrics covariates to produce a predictive potential distribution map. The results indicated that patch contiguity (contiguity index, 63.7%), patch area (29.3%), and patch shape complexity (shape index, 5.7%) are the most influential patch metrics, all of which have negative effects on roosting site suitability. In total, 13,222 small patches were considered highly suitable patches, with a mean area of 0.921 ± 0.698 (SD) ha, which accounted for 122,090 ha (2.04%) of the study area. Roosting sites predicted from the model were consistently associated with occurrences of roosting sites observed in temples; such habitats likely provide shelter from external threats for colonies roosting in a human-dominated landscape.

References

Ali, A., 2010. Population trend and conservation status of Indian flying fox Pteropus giganteus Brunnich, 1782 (Chiroptera: Pteropodidae) in western Assam. The Ecoscan, 4: 311–312.
Search in Google Scholar Back to article
Boonkird, K., Wanghongsa, S., Wacharapluesadee, S., Hemachudha, T., 2006. On the roost selection of Lyle’s flying fox, Pteropus lylei, at Wat Luang Pormmawas, Chon Buri province. Wildlife Yearbook, 7: 120–131. (In Thai).
Search in Google Scholar Back to article
Boyce, M.S., Vernier, P.R., Nielsen, S.E., Schmiegelow, F.K.A., 2002. Evaluating resource selection functions. Ecological Modelling, 157: 281–300.10.1016/S0304-3800(02)00200-4
Search in Google Scholar Back to article
Bumrungsri, S., Suyanto, A., Francis, C., 2008. Pteropus lylei. The IUCN Red List of Threatened Species 2008: e.T18734A8513517. [cited 201301-04]. http://dx.doi.org/10.2305/IUCN.UK.2008.RLTS.T18734A8513517.en 2008.10.2305/IUCN.UK.2008.RLTS.T18734A8513517.en
Search in Google Scholar Back to article
Cantor, S.B., Sun, C.C., Tortolero-Luna, G., Richards-Kortum, R., Follen, M., 1999. A comparison of C/B ratios from studies using receiver operating characteristic curve analysis. Journal of Clinical Epidemiology, 52: 885–892.10.1016/S0895-4356(99)00075-X
Search in Google Scholar Back to article
Chaiyes, A., Duengkae, P., Wacharapluesadee, S., Pongpattananurak, N., Olival, K.J., Hemachudha, T., 2017. Assessing the distribution, roosting site characteristics, and population of Pteropus lylei in Thailand. Raffles Bulletin of Zoology, 65: 670–680.
Search in Google Scholar Back to article
Delong C.A., Brittingham, M.C., 2015. Wildlife–habitat relationships. Penn State Extension. [cit. 2015-11-20]. http://extension.psu.edu/natural-resources/wildlife/habitat-management/wildlife-habitatrelationships/extension_publication_file
Search in Google Scholar Back to article
Dey, S., Roy, U.S., Chattopadhyay, S., 2013. Distribution and abundance of three populations of Indian flying fox (Pteropus giganteus) from Purulia district of West Bengal, India. Taprobanica: The Journal of Asian Biodiversity, 5: 60–66.10.4038/tapro.v5i1.5664
Search in Google Scholar Back to article
Duengkae, P., Wacharapluesadee, S., Khumbucha, W., Srikhunmuang, P., Phengsakul, P., Chaiyes, A., Pongpattananurak, N., Hemachudha, T., 2015. Monitoring roosting sites and population of Lyle’s Flying Fox (Pteropus lylei) in Thailand. Forestry, 1: 1–10. (In Thai).
Search in Google Scholar Back to article
Eby, P., 1991. Seasonal movements of grey-headed flying-foxes, Pteropus poliocephalus (Chiroptera: Pteropodidae), from two maternity camps in northern New South Wales. Wildlife Research, 18: 547–559.10.1071/WR9910547
Search in Google Scholar Back to article
Elith, J., Graham, C.H., Anderson, R.P., Dudik, M., Ferrier, S., Guisan, A., Hijmans, R.J., Huettmann, F., Leathwick, J.R., Lehmann, A., Li, J., Lohmann, L.G., Loiselle, B.A., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., Overton, J.M., Peterson, A.T., Phillips, S.J., Richardson, K., Scachetti-Pereira, R., Schapire, R.E., Soberon, J., Williams, S., Wisz, M.S., Zimmermann, N.E., 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29: 129–151.10.1111/j.2006.0906-7590.04596.x
Search in Google Scholar Back to article
Elith, J., Leathwick, J.R., 2009. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40 (1): 677–697.10.1146/annurev.ecolsys.110308.120159
Search in Google Scholar Back to article
Elith, J., Phillips, S., Hastie, T., Dudik, M., Chee, Y., Yates, C., 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17: 43–57.10.1111/j.1472-4642.2010.00725.x
Search in Google Scholar Back to article
Fielding, A.H., Bell, J.F., 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24 (1): 38–49.10.1017/S0376892997000088
Search in Google Scholar Back to article
Franklin, J., 2010. Mapping species distributions: spatial inference and prediction. Cambridge, UK: Cambridge University Press. 320 p.10.1017/CBO9780511810602
Search in Google Scholar Back to article
Guisan, A., Broennimann, O., Engler, R., Vust, M., Yoccoz, N.G., Lehmann, A., Zimmermann, N.E., 2006. Using niche-based models to improve the sampling of rare species. Conservation Biology, 20 (2): 501–511.10.1111/j.1523-1739.2006.00354.x16903111
Search in Google Scholar Back to article
Jeyapraba, L., 2016. Roosting ecology of Pteropus giganteus (Brunnich, 1782) Indian flying fox and threats for their survival. International Journal of Computational Research and Development, 1 (1): 102–105.
Search in Google Scholar Back to article
Kunz, T.H., Pierson, E.D., 1994. Bats of the world: an introduction. In Nowak, R.M. (eds). Walker’s bats of the world. Baltimore, MD, USA: Johns Hopkins University Press, 1994, p. 1–46.
Search in Google Scholar Back to article
Lekagul, B., McNeely, J.A., 1977. Mammals of Thailand. Bangkok: Association for the Conservation of Wildlife. 758 p.
Search in Google Scholar Back to article
Leitão, A.B., Miller J, Ahern J, McGarigal K., 2006. Measuring landscape: a planner’s handbook. Washington DC, USA: Island Press. 272 p.
Search in Google Scholar Back to article
Louis, J.R., Mohan, P.P., Mahendran, C., Vehhatesan, A., Prabhu, K., Ravichandran, B., Molur, S., 2008. A survey of the roosting sites of Indian flying fox Pteropus giganteus Brunnich, 1782 in and around Coimbatore and Palakkad districts, India. Chiroptera Conservation and Information Network of South Asia, 9: 11–12.
Search in Google Scholar Back to article
MacArthur, R.H., Wilson, E.O., 1967. The theory of island biogeography. Princeton, N.J.: Princeton University Press. 203 p.
Search in Google Scholar Back to article
Manel, S., Williams, H.C., Ormerod, S.J., 2001. Evaluating presence–absence models in ecology: the need to account for prevalence. Journal of Applied Ecology, 38: 921–931.10.1046/j.1365-2664.2001.00647.x
Search in Google Scholar Back to article
McGarigal, K., Cushman, S.A., Neel, M.C., Ene, E., 2012. FRAGSTAT v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the University of Massachusetts, Amherst. [cit. 2013-11-4]. http://www.umass.edu/landeco/research/fragstats/fragstats.html
Search in Google Scholar Back to article
McGarigal, K., Marks, B.J., 1995. Fragstats: spatial pattern analysis program for quantifying landscape structure. General Technical Report PNW, 351. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 122 p.10.2737/PNW-GTR-351
Search in Google Scholar Back to article
Phillips, S.J., Anderson, R.P., Schapire, R.E., 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190: 231–259.10.1016/j.ecolmodel.2005.03.026
Search in Google Scholar Back to article
QGIS Development Team, 2009. QGIS Geographic Information System. Open Source Geospatial Foundation Project. [cit. 2015-11-20]. http://qgis.osgeo.org
Search in Google Scholar Back to article
Swets, J., 1988. Measuring the accuracy of diagnostic systems. Science, 240: 1285–1293.10.1126/science.32876153287615
Search in Google Scholar Back to article
Thanapongtharm, W., Linard, C., Wiriyarat, W., Chinsorn, P., Kanchanasaka, B., Xiao, X., Biradar, C., Wallace, R.G., Gilbert, M., 2015. Spatial characterization of colonies of the flying fox bat, a carrier of Nipah Virus in Thailand. BMC Veterinary Research, 11: 81–93.10.1186/s12917-015-0390-0438971325880385
Search in Google Scholar Back to article
Turner, T.G., Gerner, R.H., O’Neill, R.V., 2001. Landscape ecology in theory and practice: pattern and process. NY, USA: Springer-Verlag, 406 p.
Search in Google Scholar Back to article
Weber, N., Duengkae, P., Fahr, J., Dechmann, D., Phengsakul, P., Khumbucha, W., Newman, S., Siriaroonrat, B., Wacharapluesadee, S., Maneeornand, P., Wikelski, M., 2015. High-resolution GPS tracking of Lyle’s flying fox between temple orchards in central Thailand. The Journal of Wildlife Management, 79 (6): 957–968.10.1002/jwmg.904
Search in Google Scholar Back to article

Patch metrics of roosting site selection by Lyle’s flying fox (Pteropus lylei Andersen, 1908) in a human-dominated landscape in Thailand

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