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BY 4.0 license Open Access Published by De Gruyter Open Access June 2, 2020

Advancing interpretation of stable isotope assignment maps: comparing and summarizing origins of known-provenance migratory bats

  • Caitlin J. Campbell EMAIL logo , Matthew C. Fitzpatrick , Hannah B. Vander Zanden and David M. Nelson
From the journal Animal Migration

Abstract

Probability-of-origin maps deduced from stable isotope data are important for inferring broad-scale patterns of animal migration, but few resources and tools for interpreting and validating these maps exist. For example, quantitative tools for comparing multiple probability-of-origin maps do not exist, and many existing approaches for geographic assignment of individuals have not been validated or compared with respect to precision and accuracy. To address these challenges, we created and analyzed probability-of-origin maps using stable hydrogen isotope values from known-origin individuals of three species of migratory bat. We used a metric of spatial overlap to group individuals by areas of origin without a priori knowledge of such regions. The metric of spatial similarity allowed for quantitative comparison of geographic origins and grouping of individuals with similar origins. We then compared four approaches for inferring origins (cumulative-sum, odds-ratio, quantile-only, and quantile-simulation) across a range of thresholds and probable minimum distance traveled. The accuracy of geographic origins and minimum distance traveled varied across species at most threshold values for most approaches. The cumulative-sum and quantile-simulation approaches had generally higher precision at a given level of accuracy than the odds-ratio and quantile-only approaches, and many threshold values were associated with a relatively high degree (> 300 km) of variation in minimum distance traveled. Overall, these results reinforce the importance of validating assignment techniques with known-origin individuals when possible. We present the tools discussed as part of an R package, ‘isocat’ (“Isotope Origin Clustering and Assignment Tools”).

References

[1] Bolger D.T., Newmark W.D., Morrison T.A., Doak D.F., The need for integrative approaches to understand and conserve migratory ungulates, Ecol. Lett., 2008, 11, 63–77Search in Google Scholar

[2] Wilcove D.S., Wikelski M., Going, going, gone: Is animal migration disappearing?, PLoS Biol., 2008, 6, 1361–136410.1371/journal.pbio.0060188Search in Google Scholar PubMed PubMed Central

[3] Hobson K.A., Barnett-Johnson R., Cerling T., Using Isoscapes to Track Animal Migration, In: Isoscapes: Understanding Movement, Pattern, and Process on Earth Through Isotope Mapping, 2010, 273–29810.1007/978-90-481-3354-3_13Search in Google Scholar

[4] Wunder M.B., Determining geographic patterns of migration and dispersal using stable isotopes in keratins, J. Mammal., 2012, 93, 360–36710.1644/11-MAMM-S-182.1Search in Google Scholar

[5] Bowen G.J., Liu Z., Vander Zanden H.B., Zhao L., Takahashi G., Geographic assignment with stable isotopes in IsoMAP, Methods Ecol. Evol., 2014, 5, 201–20610.1111/2041-210X.12147Search in Google Scholar

[6] Courtiol A., Rousset F., Rohwäder M.-S., Soto D.X., Lehnert L.S., Voigt C.C., et al., Isoscape Computation and Inference of Spatial Origins With Mixed Models Using the R package IsoriX, In: Tracking Animal Migration with Stable Isotopes, 2016Search in Google Scholar

[7] Hobson K.A., Isotopic ornithology: A perspective, J. Ornithol., 2011, 15210.1007/s10336-011-0653-xSearch in Google Scholar

[8] Cryan P.M., Stricker C.A., Wunder M.B., Continental-scale, seasonal movements of a heterothermic migratory tree bat, Ecol. Appl., 2014, 24, 602–61610.1890/13-0752.1Search in Google Scholar PubMed

[9] Vander Zanden H.B., Nelson D.M., Wunder M.B., Conkling T.J., Katzner T.E., Application of stable isotopes to determine geographic origin of terrestrial wildlife for conservation management, Biol. Conserv., 2018, 228, 268–28010.1016/j.biocon.2018.10.019Search in Google Scholar

[10] Flockhart D.T.T., Wassenaar L.I., Martin T.G., Hobson K.A., Wunder M.B., Norris D.R., Tracking multi-generational colonization of the breeding grounds by monarch butterflies in eastern North America, Proc. R. Soc. B Biol. Sci., 2013, 280, 20131087–2013108710.1098/rspb.2013.1087Search in Google Scholar PubMed PubMed Central

[11] Wunder M.B., Norris D.R., Improved estimates of certainty in stable-isotope-based methods for tracking migratory animals, Ecol. Appl., 2008, 18, 549–55910.1890/07-0058.1Search in Google Scholar PubMed

[12] Pajuelo M., Bjorndal K.A., Reich K.J., Vander Zanden H.B., Hawkes L.A., Bolten A.B., Assignment of nesting loggerhead turtles to their foraging areas in the Northwest Atlantic using stable isotopes, Ecosphere, 2012, 310.1890/ES12-00220.1Search in Google Scholar

[13] Wassenaar L.I., Hobson K.A., A stable-isotope approach to delineate geographical catchment areas of avian migration monitoring stations in North America, Environ. Sci. Technol., 2001, 35, 1845–185010.1021/es0010204Search in Google Scholar

[14] Flockhart D.T.T., Brower L.P., Ramirez M.I., Hobson K.A., Wassenaar L.I., Altizer S., et al., Regional climate on the breeding grounds predicts variation in the natal origin of monarch butterflies overwintering in Mexico over 38 years, Glob. Chang. Biol., 2017, 23, 2565–257610.1111/gcb.13589Search in Google Scholar

[15] Webster M.S., Marra P.P., Haig S.M., Bensch S., Holmes R.T., Links between worlds: unraveling migratory connectivity, Trends Ecol. Evol., 2002, 17, 76–8310.1016/S0169-5347(01)02380-1Search in Google Scholar

[16] Hobson K.A., Soto D.X., Paulson D.R., Wassenaar L.I., Matthews J.H., A dragonfly (δ2H) isoscape for North America: a new tool for determining natal origins of migratory aquatic emergent insects, Methods Ecol. Evol., 2012, 3, 766–77210.1111/j.2041-210X.2012.00202.xSearch in Google Scholar

[17] Fraser E.E., Brooks D., Longstaffe F.J., Stable isotope investigation of the migratory behavior of silver-haired bats (Lasionycteris noctivagans) in eastern North America, J. Mammal., 2017, 38, 2067–206910.1093/jmammal/gyx085Search in Google Scholar

[18] Van Wilgenburg S.L., Hobson K.A., Combining stable-isotope (δD) and band recovery data to improve probabilistic assignment of migratory birds to origin, Ecol. Appl., 2011, 21, 1340–135110.1890/09-2047.1Search in Google Scholar PubMed

[19] Hobson K.A., Van Wilgenburg S.L., Dunn E.H., Hussell D.J.T., Taylor P.D., Collister D.M., Predicting origins of passerines migrating through Canadian migration monitoring stations using stable-hydrogen isotope analyses of feathers: a new tool for bird conservation, Avian Conserv. Ecol., 2015, 10, 310.5751/ACE-00719-100103Search in Google Scholar

[20] Brennan S.R., Schindler D.E., Linking otolith microchemistry and dendritic isoscapes to map heterogeneous production of fish across river basins, Ecol. Appl., 2017, 27, 363–37710.1002/eap.1474Search in Google Scholar PubMed

[21] Nelson D.M., Braham M., Miller T.A., Duerr A.E., Cooper J., Lanzone M., Stable hydrogen isotopes identify leapfrog migration, degree of connectivity, and summer distribution of golden eagles in eastern North America, Condor, 2015, 117, 1–1710.1650/CONDOR-14-209.1Search in Google Scholar

[22] Pylant C.L., Nelson D.M., Fitzpatrick M.C., Gates J.E., Keller S.R., Geographic origins and population genetics of bats killed at wind-energy facilities, Ecol. Appl., 2016, 26, 1381–139510.1890/15-0541Search in Google Scholar PubMed

[23] López-Calderón C., Van Wilgenburg S.L., Roth A.M., Flaspohler D.J., Hobson K.A., An evaluation of isotopic (δ2H) methods to provide estimates of avian breeding and natal dispersal, Ecosphere, 2019, 1010.1002/ecs2.2663Search in Google Scholar

[24] Katzner T.E., Nelson D.M., Braham M.A., Doyle J.M., Fernandez N.B., Duerr A.E., et al., Golden Eagle fatalities and the continental-scale consequences of local wind-energy generation, Conserv. Biol., 2017, 31, 406–41510.1111/cobi.12836Search in Google Scholar

[25] Zenzal T.J., Contina A.J., Kelly J.F., Moore F.R., Temporal migration patterns between natal locations of ruby-throated hummingbirds (Archilochus colubris) and their Gulf Coast stopover site, Mov. Ecol., 2018, 610.1186/s40462-017-0120-2Search in Google Scholar

[26] Cryan P.M., Seasonal distribution of migratory tree bats (Lasiurus and Lasionycteris) in North America, J. Mammal., 2003, 84, 579–59310.1644/1545-1542(2003)084<0579:SDOMTB>2.0.CO;2Search in Google Scholar

[27] Lehnert L.S., Kramer-schadt S., Teige T., Hoffmeister U., Popa-lisseanu A., Bontadina F., et al., Variability and repeatability of noctule bat migration in Central Europe: evidence for partial and differential migration, Proc. R. Soc. B, 201810.1098/rspb.2018.2174Search in Google Scholar

[28] Ma C., Bowen G., assignR: Infer Geographic Origin from Isotopic Data, 2019Search in Google Scholar

[29] Hobson K.A., Wunder M.B., Van Wilgenburg S.L., Clark R.G., Wassenaar L.I., A method for investigating population declines of migratory birds using stable isotopes: Origins of harvested lesser scaup in North America, PLoS One, 2009, 4, e791510.1371/journal.pone.0007915Search in Google Scholar

[30] Campbell C.J., isocat: Isotope Origin Clustering and Assignment Tools. R package version 0.2.4, 2019Search in Google Scholar

[31] Pylant C.L., Nelson D.M., Keller S.R., Gandini P., Stable hydrogen isotopes record the summering grounds of eastern red bats (Lasiurus borealis), PeerJ, 2014, 2, e62910.7717/peerj.629Search in Google Scholar

[32] Coplen T.B., Qi H., USGS42 and USGS43: Human-hair stable hydrogen and oxygen isotopic reference materials and analytical methods for forensic science and implications for published measurement results., Forensic Sci. Int., 2012, 214, 135–4110.1016/j.forsciint.2011.07.035Search in Google Scholar

[33] Wassenaar L., Hobson K., Comparative equilibration and online technique for determination of non-exchangeable hydrogen of keratins for use in animal migration studies., Isotopes Environ. Health Stud., 2003, 39, 211–21710.1080/1025601031000096781Search in Google Scholar

[34] Wassenaar L.I., Hobson K.A., Two new keratin standards (δ2H, δ18O) for daily laboratory use in wildlife and forensic isotopic studies, Conf. Appl. Stable Isot., 2010Search in Google Scholar

[35] Soto D.X., Koehler G., Wassenaar L.I., Hobson K.A., Re-evaluation of the hydrogen stable isotopic composition of keratin calibration standards for wildlife and forensic science applications, Rapid Commun. Mass Spectrom., 2017, 31, 1193–120310.1002/rcm.7893Search in Google Scholar

[36] Bowen G.J., Statistical and geostatistical mapping of precipitation water isotope ratios, In: West, J.B., Bowen, G.J., Dawson, T.E., Tu, K.P. (Eds.), Isoscapes: Understanding Movement, Pattern, and Process on Earth through Isotope Mapping, Springer, New York, 2010, 139–160Search in Google Scholar

[37] Kahle D., Wickham H., ggmap: Spatial Visualization with ggplot2, R J., 201310.32614/RJ-2013-014Search in Google Scholar

[38] R Core Team, R: A language and environment for statistical computing, R Core Team, 2019Search in Google Scholar

[39] Vander Zanden H.B., Wunder M.B., Hobson K.A., Van Wilgenburg S.L., Wassenaar L.I., Welker J.M., et al., Contrasting assignment of migratory organisms to geographic origins using long-term versus year-specific precipitation isotope maps, Methods Ecol. Evol., 2014, 5, 891–90010.1111/2041-210X.12229Search in Google Scholar

[40] Schoener T.W., Nonsynchronous spatial overlap of lizards in patchy habitats, Ecology, 1970, 51, 408–41810.2307/1935376Search in Google Scholar

[41] Broennimann O., Fitzpatrick M.C., Pearman P.B., Petitpierre B., Pellissier L., Yoccoz N.G., et al., Measuring ecological niche overlap from occurrence and spatial environmental data, Glob. Ecol. Biogeogr., 2012, 21, 481–49710.1111/j.1466-8238.2011.00698.xSearch in Google Scholar

[42] Warren D.L., Glor R.E., Turelli M., Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution, Evolution (N. Y)., 2008, 6210.1111/j.1558-5646.2008.00482.xSearch in Google Scholar PubMed

[43] Suzuki R., Shimodaira H., Pvclust: An R package for assessing the uncertainty in hierarchical clustering, Bioinformatics, 200610.1093/bioinformatics/btl117Search in Google Scholar PubMed

[44] Langfelder P., Zhang B., Horvath S., Defining clusters from a hierarchical cluster tree: The Dynamic Tree Cut package for R, Bioinformatics, 2008, 24, 719–72010.1093/bioinformatics/btm563Search in Google Scholar PubMed

[45] Hennig C., fpc: Flexible Procedures for Clustering, 2019Search in Google Scholar

[46] White D., Gramacy R.B., maptree: Mapping, pruning, and graphing tree models, 2012Search in Google Scholar

[47] Delignette-Muller M.L., Dutang C., fitdistrplus: An R Package for Fitting Distributions, J. Stat. Softw., 201510.18637/jss.v064.i04Search in Google Scholar

[48] Ekstrøm C.T., MESS: Miscellaneous Esoteric Statistical Scripts, 2018Search in Google Scholar

[49] Peterson A.T., Papeş M., Soberón J., Rethinking receiver operating characteristic analysis applications in ecological niche modeling, Ecol. Modell., 2008, 213, 63–7210.1016/j.ecolmodel.2007.11.008Search in Google Scholar

[50] Hijmans R.J., raster: Geographic Data Analysis and Modeling, 2019.Search in Google Scholar

[51] Asante C.K., Jardine T.D., Van Wilgenburg S.L., Hobson K.A., Tracing origins of waterfowl using the Saskatchewan River Delta: Incorporating stable isotope approaches in continent-wide waterfowl management and conservation, Condor, 2017, 119, 261–27410.1650/CONDOR-16-179.1Search in Google Scholar

[52] Baerwald E.F.F., Patterson W.P.P., Barclay R.M.R., Origins and migratory patterns of bats killed by wind turbines in southern Alberta: evidence from stable isotopes, Ecosphere, 2014, 5, 1–1710.1890/ES13-00380.1Search in Google Scholar

[53] Van Wilgenburg S.L., Hobson K.A., Brewster K.R., Welker J.M., Assessing dispersal in threatened migratory birds using stable hydrogen isotope (δD) analysis of feathers, Endanger. Species Res., 2012, 16, 17–2910.3354/esr00383Search in Google Scholar

[54] Cohen E.B., Hostetler J.A., Hallworth M.T., Rushing C.S., Sillett T.S., Marra P.P., Quantifying the strength of migratory connectivity, Methods Ecol. Evol., 201710.1111/2041-210X.12916Search in Google Scholar

[55] Rushing C.S., Marra P.P., Studds C.E., Incorporating breeding abundance into spatial assignments on continuous surfaces, Ecol. Evol., 2017, 1–910.1002/ece3.2605Search in Google Scholar PubMed PubMed Central

[56] Fournier A.M.V. V., Sullivan A.R., Bump J.K., Perkins M., Shieldcastle M.C., King S.L., et al., Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail, J. Appl. Ecol., 2016, 54, 618–62710.1111/1365-2664.12723Search in Google Scholar

[57] Andrew Royle J., Rubenstein D.R., Royle A.J., Rubenstein D.R., The role of species abundance in determining breeding origins of migratory birds with stable isotopes, Ecol. Appl., 2004, 14, 1780–178810.1890/04-0175Search in Google Scholar

[58] Trueman C.N., MacKenzie K.M., St John Glew K., Stable isotope-based location in a shelf sea setting: accuracy and precision are comparable to light-based location methods, Methods Ecol. Evol., 2017, 8, 232–24010.1111/2041-210X.12651Search in Google Scholar

[59] Pauli J.N., Newsome S.D., Cook J.A., Harrod C., Steffan S.A., Baker C.J.O., et al., Opinion: Why we need a centralized repository for isotopic data, Proc. Natl. Acad. Sci., 2017, 114, 2997–300110.1073/pnas.1701742114Search in Google Scholar PubMed PubMed Central

Received: 2019-07-06
Accepted: 2020-03-12
Published Online: 2020-06-02

© 2020 Caitlin J. Campbell et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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