Noonan, MJ and Fleming, CH and Tucker, MA and Kays, R and Harrison, AL and Crofoot, MC and Abrahms, B and Alberts, SC and Ali, AH and Altmann, J and Antunes, PC and Attias, N and Belant, JL and Beyer, Jr and Bidner, LR and Blaum, N and Boone, RB and Caillaud, D and de Paula, RC and de la Torre, JA and Dekker, J and DePerno, CS and Farhadinia, M and Fennessy, J and Fichtel, C and Fischer, C and Ford, A and Goheen, JR. and Havmøller, RW and Hirsch, BT and Hurtado, C and Isbell, LA and Janssen, R and Jeltsch, F and Kaczensky, P and Kaneko, Y and Kappeler, P and Katna, A and Kauffman, M and Koch, F and Kulkarni, A and LaPoint, S and Leimgruber, P and Macdonald, DW and Markham, AC and McMahon, L and Mertes, K and Moorman, CE and Morato, RG and Mo�brucker, AM and Mourão, G and O'Connor, D and Oliveira-Santos, LGR and Pastorini, J and Patterson, BD and Rachlow, J and Ranglack, DH and Reid, N and Scantlebury, DM and Scott, DM and Selva, N and Sergiel, A and Songer, M and Songsasen, N and Stabach, JA and Stacy-Dawes, J and Swingen, MB and Thompson, JJ and Ullmann, W and Vanak, AT and Thaker, M and Wilson, JW and Yamazaki, K and Yarnell, RW and Zieba, F and Zwijacz-Kozica, T and Fagan, WF and Mueller, T and Calabrese, JM (2020) Effects of body size on estimation of mammalian area requirements. In: Conservation Biology, 34 (4). pp. 1017-1028.
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Abstract
Accurately quantifying species� area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15, and species weighing approximately100 kg were underestimated by approximately50 on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93 data loss to achieve statistical independence with 95 confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum.
| Item Type: | Journal Article |
|---|---|
| Publication: | Conservation Biology |
| Publisher: | Blackwell Publishing Inc. |
| Additional Information: | The copyright of this article belongs to Blackwell Publishing Inc. |
| Department/Centre: | Division of Biological Sciences > Centre for Ecological Sciences |
| Date Deposited: | 20 Aug 2020 09:38 |
| Last Modified: | 20 Aug 2020 09:38 |
| URI: | http://eprints.iisc.ac.in/id/eprint/66008 |
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