Volume 13 Issue 1
Mar.  2022
Turn off MathJax
Article Contents
Fernando Machado-Stredel, Benedictus Freeman, Daniel Jiménez-Garcia, Marlon E. Cobos, Claudia Nuñez-Penichet, Laura Jiménez, Ed Komp, Utku Perktas, Ali Khalighifar, Kate Ingenloff, Walter Tapondjou, Thilina de Silva, Sumudu Fernando, Luis Osorio-Olvera, A. Townsend Peterson. 2022: On the potential of documenting decadal-scale avifaunal change from before-and-after comparisons of museum and observational data across North America. Avian Research, 13(1): 100005. doi: 10.1016/j.avrs.2022.100005
Citation: Fernando Machado-Stredel, Benedictus Freeman, Daniel Jiménez-Garcia, Marlon E. Cobos, Claudia Nuñez-Penichet, Laura Jiménez, Ed Komp, Utku Perktas, Ali Khalighifar, Kate Ingenloff, Walter Tapondjou, Thilina de Silva, Sumudu Fernando, Luis Osorio-Olvera, A. Townsend Peterson. 2022: On the potential of documenting decadal-scale avifaunal change from before-and-after comparisons of museum and observational data across North America. Avian Research, 13(1): 100005. doi: 10.1016/j.avrs.2022.100005

On the potential of documenting decadal-scale avifaunal change from before-and-after comparisons of museum and observational data across North America

doi: 10.1016/j.avrs.2022.100005
More Information
  • Corresponding author: E-mail address: fmachadostredel@ku.edu (F. Machado-Stredel)
  • Received Date: 28 Apr 2021
  • Accepted Date: 26 Nov 2021
  • Publish Date: 02 Feb 2022
  • Studies of biodiversity dynamics have been cast on either long (systematics) or short (ecology) time scales, leaving a gap in coverage for moderate time scales of decades to centuries. Large-scale biodiversity information resources now available offer opportunities to fill this gap for many parts of the world via detailed, quantitative comparisons of assemblage composition, particularly for regions without rich time series datasets. We explore the possibility that such changes in avifaunas across the United States and Canada before and after the first three decades of marked global change (i.e., prior to 1980 versus after 2010) can be reconstructed and characterized from existing primary biodiversity data. As an illustration of the potential of this methodology for sites even in regions not as well sampled as the United States and Canada, we also explored changes at a single site in Mexico (Chichén-Itzá). We analyzed two large-scale datasets: one summarizing bird records in the United States and Canada before 1980, and one for the same region after 2010. We used probabilistic inventory completeness analyses to identify sites that have avifaunas that have likely been inventoried more or less completely. We prepared detailed comparisons between the two time periods to analyze species showing distributional changes over the time period analyzed. We identified 139 sites on a 0.05° grid that were demonstrably well-inventoried before 1980 in the United States and Canada, of which 108 were also well-inventoried after 2010. Comparing presence/absence patterns between the two time periods for 601 bird species, we found significant spatial autocorrelation in overall avifaunal turnover (species gained and lost), but not in numbers of species lost. We noted potential northward retractions of ranges of several species with high-latitude (boreal) distributions, while other species showed dominant patterns of population loss, either rangewide (e.g., Tympanuchus cupido) or regionally (e.g., Thryomanes bewickii). We developed linear models to explore a suite of potential drivers of species loss at relatively fine-grained resolutions (<6 ​km), finding significant effects of precipitation increase, particularly on the eastern border of the United States and Canada. Our exploration of biotic change in Chichén-Itzá included 265 species and showed intriguing losses from the local avifauna (e.g., Patagioenas speciosa), as well as vagrant and recent invasive species in the Yucatán Peninsula. The present work documents both the potential for and the problems involved in an approach integrating primary biodiversity data across time periods. This method potentially allows researchers to assess intermediate-time-scale biodiversity dynamics that can reveal patterns of change in biodiversity-rich regions that lack extensive time-series information.

     

  • loading
  • Alderfer, J., Dunn, J.L., 2014. National Geographic Complete Birds of North America, sixth ed. National Geographic Books, Washington DC.
    AOU, 1983. Check-list of North American Birds, sixth ed. American Ornithologists’ Union, Washington DC.
    AOU, 1998. Check-list of North American Birds, seventh ed. American Ornithologists’ Union, Washington DC.
    Bibby, C.J., Burgess, N.D., Hill, D.A., 1992. Bird Census Techniques. Academic Press, London.
    BirdLife International. IUCN Red List for birds, 2015. http://www.birdlife.org. (Accessed December 2015).
    Bonney R, Cooper CB, Dickinson J, Kelling S, Phillips T, Rosenberg KV, et al. Citizen science: a developing tool for expanding science knowledge and scientific literacy. Bioscience. 2009;59:977-984 doi: 10.1525/bio.2009.59.11.9
    Brown DJ, Ribic CA, Donner DM, Nelson MD, Bocetti CI, Deloria-Sheffield CM. Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's Warbler after successful recovery. J. Appl. Ecol. 2017;54:439-449 doi: 10.1111/1365-2664.12776
    Cade TJ, Woods CP. Changes in distribution and abundance of the Loggerhead Shrike. Conserv. Biol. 1997;11:21-31 doi: 10.1046/j.1523-1739.1997.95279.x
    Cavarzere V, Silveira LF, Tonetti VR, Develey P, Ubaid FK, Regalado LB, et al. Museum collections indicate bird defaunation in a biodiversity hotspot. Biota Neotropica. 2017;17:e20170404
    Chesser, R.T., Billerman, S.M., Burns, K.J., Cicero, C., Dunn, J.L., Kratter, A.W., et al., 2020. Check-list of North American Birds. American Ornithological Society. December 2020. http://checklist.americanornithology.org/taxa.
    Collen B, Ram M, Zamin T, McRae L. The tropical biodiversity data gap: addressing disparity in global monitoring. Trop. Conserv. Sci. 2008;1:75-88 doi: 10.1177/194008290800100202
    Collins, M., Knutti, R., Arblaster, L., Dufresne, J.-L., Fichefet, T., Friedlingstein, P., et al., 2013. Long-term climate change: projections, commitments and irreversibility. In: Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., et al. (Eds.), Climate Change 2013: the Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
    Colwell, R.K., 1994. EstimateS. University of Connecticut, Storrs, 2016. http://viceroy.eeb.uconn.edu/estimates/.
    Colwell RK, Coddington JA. Estimating terrestrial biodiversity through extrapolation. Philos. Trans. R. Soc. B . 1994;335:101-118
    Cooper, T.R., 2008. King Rail Conservation Plan, Version 1. U.S. Fish and Wildlife Service, Fort Snelling.
    Constable H, Guralnick R, Wieczorek J, Spencer C, Peterson AT. VertNet: a new model for biodiversity data sharing. PLoS Biol. 2010;8:e1000309 doi: 10.1371/journal.pbio.1000309
    del Lama SN, Moralez-Silva E. Colonization of Brazil by the Cattle Egret (Bubulcus ibis) revealed by mitochondrial DNA. NeoBiota. 2014;21:49-63 doi: 10.3897/neobiota.21.4966
    Diniz-Filho JAF, Bini LM. Modelling geographical patterns in species richness using eigenvector-based spatial filters. Global Ecol. Biogeogr. 2005;14:177-185 doi: 10.1111/j.1466-822X.2005.00147.x
    Diniz-Filho JAF, de Sant'Ana CER, Bini LM. An eigenvector method for estimating phylogenetic inertia. Evolution. 1998;52:1247-1262 doi: 10.1111/j.1558-5646.1998.tb02006.x
    Dornelas M, Antao LH, Moyes F, Bates AE, Magurran AE, Adam D, et al. BioTIME: a database of biodiversity time series for the Anthropocene. Global Ecol. Biogeogr. 2018;27:760-786 doi: 10.1111/geb.12729
    Easterling, D.R., Kunkel, K.E., Arnold, J.R., Knutson, T., LeGrande, A.N., Leung, L.R., et al., 2017. Precipitation change in the United States. In: Wuebbles, D.J., Fahey, D.W., Hibbard, K.A., Dokken, D.J., Stewart, B.C., Maycock, T.K. (Eds.), Climate Science Special Report: a Sustained Assessment Activity of the U.S. Global Change Research Program. Global Change Research Program, Washington.
    ESRI, 2016. ArcMap 10.5.1. Esri Inc, Redlands.
    Gaiji S, Chavan V, Arino AH, Otegui J, Hobern D, Sood R, et al. Content assessment of the primary biodiversity data published through GBIF network: status, challenges and potentials. Biodivers. Inf. 2013;8:94-172
    Grinnell J. The role of the “Accidental”. Auk. 1922;39:373-380 doi: 10.2307/4073434
    Higgins PA. Biodiversity loss under existing land use and climate change: an illustration using northern South America. Global Ecol. Biogeogr. 2007;16:197-204 doi: 10.1111/j.1466-8238.2006.00278.x
    Illan JG, Thomas CD, Jones JA, Wong WK, Shirley SM, Betts MG. Precipitation and winter temperature predict long-term range-scale abundance changes in western North American birds. Global Change Biol. 2014;20:3351-3364 doi: 10.1111/gcb.12642
    IPCC, 2013. Climate Change 2013: the Physical Science Basis. Cambridge University Press, Cambridge.
    Jarzyna MA, Jetz W. A near half-century of temporal change in different facets of avian diversity. Global Change Biol. 2017;23:2999-3011 doi: 10.1111/gcb.13571
    Johnston A, Hochachka WM, Strimas-Mackey ME, Gutierrez VR, Robinson OJ, Miller ET, et al. Analytical guidelines to increase the value of community science data: an example using eBird data to estimate species distributions. Divers. Distrib. 2021;27:1265-1277 doi: 10.1111/ddi.13271
    Kennedy ED, White DW. Interference competition from house Wrens as a factor in the decline of Bewick's Wrens. Conserv. Biol. 1996;10:281-284 doi: 10.1046/j.1523-1739.1996.10010281.x
    Khalighifar A, Jimenez L, Nunez-Penichet C, Freeman B, Ingenloff K, Jimenez-Garcia D, et al. Inventory statistics meet big data: complications for estimating numbers of species. PeerJ. 2020;8:e8872 doi: 10.7717/peerj.8872
    Koenig WD. Synchrony and periodicity of eruptions by boreal birds. Condor. 2001;103:725-735 doi: 10.1093/condor/103.4.725
    Lambert FH, Stine AR, Krakauer NY, Chiang JC. How much will precipitation increase with global warming? Eos. 2008;89:193-194
    Laurance WF, Nascimento HEM, Laurance SG, Andrade A, Ribeiro JELS, Giraldo JP, et al. Rapid decay of tree-community composition in Amazonian forest fragments. Proc. Natl. Acad. Sci. U.S.A. 2006;103:19010-19014 doi: 10.1073/pnas.0609048103
    Levin SA. The problem of pattern and scale in ecology: the Robert H. MacArthur award lecture. Ecology. 1992;73:1943-1967 doi: 10.2307/1941447
    Liu H, Gong P, Wang J, Clinton N, Bai Y, Liang S. Annual dynamics of global land cover and its long-term changes from 1982 to 2015. Earth Syst. Sci. Data. 2020;12:1217-1243 doi: 10.5194/essd-12-1217-2020
    Livneh B, Bohn TJ, Pierce DW, Munoz-Arriola F, Nijssen B, Vose R, et al. A spatially comprehensive, hydrometeorological data set for Mexico, the US, and southern Canada 1950-2013. Sci. Data. 2015;2:150042 doi: 10.1038/sdata.2015.42
    MacKenzie DI, Nichols JD, Lachman GB, Droege S, Royle JA, Langtimm CA. Estimating site occupancy rates when detection probabilities are less than one. Ecology. 2002;83:2248-2255 doi: 10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2
    McGowan, K.J., Corwin, K., 2008. The Second Atlas of Breeding Birds in New York State. Comstock Publishing Associates, Ithaca.
    Mihoub JB, Henle K, Titeux N, Brotons L, Brummitt NA, Schmeller DS. Setting temporal baselines for biodiversity: the limits of available monitoring data for capturing the full impact of anthropogenic pressures. Sci. Rep. 2017;7:41591 doi: 10.1038/srep41591
    Moritz C, Patton JL, Conroy CJ, Parra JL, White GC, Beissinger SR. Impact of a century of climate change on small-mammal communities in Yosemite National Park, USA. Science. 2008;322:261-264 doi: 10.1126/science.1163428
    Morony, J.J., Bock, W.J., Farrand, J., 1975. Reference List of the Birds of the World. American Museum of Natural History, New York.
    Mussmann SM, Douglas MR, Anthonysamy WJB, Davis MA, Simpson SA, Louis W, et al. Genetic rescue, the greater Prairie Chicken and the problem of conservation reliance in the Anthropocene. R. Soc. Open Sci. 2017;4:160736 doi: 10.1098/rsos.160736
    Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GA, Kent J. Biodiversity hotspots for conservation priorities. Nature. 2000;403:853-858 doi: 10.1038/35002501
    Parmesan C, Yohe G. A globally coherent fingerprint of climate change impacts across natural systems. Nature. 2003;421:37-42 doi: 10.1038/nature01286
    Parmesan C, Ryrholm N, Stefanescu C, Hill JK, Thomas CD, Descimon H, et al. Poleward shift of butterfly species' ranges associated with regional warming. Nature. 1999;399:579-583 doi: 10.1038/21181
    Peters, J.L., 1931. Check-list of Birds of the World, vols. 1–16. Harvard University Press, Cambridge, 1987
    Peters SE, McClennen M. The Paleobiology Database application programming interface. Paleobiology. 2016;42:1-7 doi: 10.1017/pab.2015.39
    Peterson AT. Projected climate change effects on Rocky Mountain and Great Plains birds: generalities of biodiversity consequences. Global Change Biol. 2003;9:647-655 doi: 10.1046/j.1365-2486.2003.00616.x
    Peterson AT, Slade NA. Extrapolating inventory results into biodiversity estimates and the importance of stopping rules. Divers. Distrib. 1998;4:95-105 doi: 10.1046/j.1365-2699.1998.00021.x
    Peterson AT, Navarro-Siguenza AG, Martinez-Meyer E, Cuervo-Robayo AP, Berlanga H, Soberon J. Twentieth century turnover of Mexican endemic avifaunas: landscape change versus climate drivers. Sci. Adv. 2015;1:e1400071 doi: 10.1126/sciadv.1400071
    Peterson AT, Navarro-Siguenza AG, Martinez-Meyer E. Digital accessible knowledge and well-inventoried sites for birds in Mexico: baseline sites for measuring faunistic change. PeerJ. 2016;4:e2362 doi: 10.7717/peerj.2362
    Previdi M, Liepert BG. Interdecadal variability of rainfall on a warming planet. Eos. 2008;89:193-195
    QGIS Development Team, 2016. QGIS Geographic Information System (Open Source Geospatial Foundation Project). http://qgis.osgeo.org.
    Reddy S, Davalos LM. Geographical sampling bias and its implications for conservation priorities in Africa. J. Biogeogr. 2003;30:1719-1727 doi: 10.1046/j.1365-2699.2003.00946.x
    Robbins MB, Nyari AS, Papes M, Benz BW, Barber BR. River-based surveys for assessing riparian bird populations: Cerulean Warbler as a test case. SE. Nat. 2010;9:95-104 doi: 10.1656/058.009.0108
    Root, T., 1988a. Atlas of Wintering North American Birds: an Analysis of Christmas Bird Count Data. University of Chicago Press, Chicago.
    Root T. Environmental factors associated with avian distributional boundaries. J. Biogeogr. 1988b;15:489-505 doi: 10.2307/2845278
    Rosenberg KV, Dokter AM, Blancher PJ, Sauer JR, Smith AC, Smith PA, et al. Decline of the north American avifauna. Science. 2019;366:120-124 doi: 10.1126/science.aaw1313
    Rowe KC, Rowe KMC, Tingley MW, Koo MS, Patton JL, Conroy CJ, et al. Spatially heterogeneous impact of climate change on small mammals of montane California. P. Roc. Soc. Lond. B Bio. 2014;282:20141857
    Sauer, J.R., Niven, D.K., Hines, J.E., Ziolkowski Jr., D.J., Pardieck, K.L., Fallon, J.E., et al., 2017a. The North American Breeding Bird Survey, Results and Analysis 1966–2015, Version 2.07. Patuxent Wildlife Research Center Laurel, Laurel.
    Sauer JR, Pardieck KL, Ziolkowski DJ Jr, Smith AC, Hudson M-AR, Rodriguez V, et al. The first 50 years of the North American breeding bird survey. Condor. 2017b;119:576-593 doi: 10.1650/CONDOR-17-83.1
    Servanty S, Converse SJ, Bailey LL. Demography of a reintroduced population: moving toward management models for an endangered species, the Whooping Crane. Ecol. Appl. 2014;24:927-937 doi: 10.1890/13-0559.1
    Sibley, C.G., Monroe, B.L.J., 1990. Distribution and Taxonomy of Birds of the World. Yale University Press, New Haven.
    Smith JL. Decline of the Bewick's wren. Redstart. 1980;47:77-82
    Soininen J. Species turnover along abiotic and biotic gradients: patterns in space equal patterns in time? Bioscience. 2010;60:433-439 doi: 10.1525/bio.2010.60.6.7
    Sousa-Baena MS, Garcia LC, Peterson AT. Completeness of digital accessible knowledge of the plants of Brazil and priorities for survey and inventory. Divers. Distrib. 2013;20:369-381
    Spooner FEB, Pearson RG, Freeman R. Rapid warming is associated with population decline among terrestrial birds and mammals globally. Global Change Biol. 2018;24:4521-4531 doi: 10.1111/gcb.14361
    Strimas-Mackey, M., Miller, E., Hochachka, W., 2018. Auk: eBird Data Extraction and Processing with AWK. R Package Version 0.3.0. https://cornelllabofornithology.github.io/auk/.
    Sullivan BL, Wood CL, Iliff MJ, Bonney RE, Fink D, Kelling S. eBird: a citizen-based bird observation network in the biological sciences. Biol. Conserv. 2009;142:2282-2292 doi: 10.1016/j.biocon.2009.05.006
    Sullivan BL, Aycrigg JL, Barry JH, Bonney RE, Bruns N, Cooper CB, et al. The eBird enterprise: an integrated approach to development and application of citizen science. Biol. Conserv. 2014;169:31-40 doi: 10.1016/j.biocon.2013.11.003
    Swann ALS, Fung IY, Chiang JCH. Mid-latitude afforestation shifts general circulation and tropical precipitation. Proc. Natl. Acad. Sci. U.S.A. 2012;109:712-716 doi: 10.1073/pnas.1116706108
    Tingley MW, Beissinger SR. Detecting range shifts from historical species occurrences: new perspectives on old data. Trends Ecol. Evol. 2009;24:625-633 doi: 10.1016/j.tree.2009.05.009
    Tingley MW, Beissinger SR. Cryptic loss of montane avian richness and high community turnover over 100 years. Ecology. 2013;94:598-609 doi: 10.1890/12-0928.1
    Tingley MW, Monahan WB, Beissinger SR, Moritz C. Birds track their Grinnellian niche through a century of climate change. Proc. Natl. Acad. Sci. U.S.A. 2009;106:19637-19643 doi: 10.1073/pnas.0901562106
    Tingley MW, Koo MS, Moritz C, Rush AC, Beissinger SR. The push and pull of climate change causes heterogeneous shifts in avian elevational ranges. Global Change Biol. 2012;18:3279-3290 doi: 10.1111/j.1365-2486.2012.02784.x
    Vorontsova MS, Clayton D, Simon BK. Grassroots e-floras in the Poaceae: growing GrassBase and GrassWorld. PhytoKeys. 2015;48:73-84 doi: 10.3897/phytokeys.48.7159
    Webb SD. Ecogeography and the great American interchange. Paleobiology. 1991;17:266-280 doi: 10.1017/S0094837300010605
    Wehtje W. The range expansion of the great-tailed Grackle (Quiscalus mexicanus Gmelin) in north America since 1880. J. Biogeogr. 2003;30:1593-1607 doi: 10.1046/j.1365-2699.2003.00970.x
    Wentz FJ, Ricciardulli L, Hilburn K, Mears C. How much more rain will global warming bring? Science. 2007;317:233-235 doi: 10.1126/science.1140746
    Yesson C, Brewer PW, Sutton T, Caithness N, Pahwa JS, Burgess M, et al. How global is the global biodiversity information facility? PLoS One. 2007;2:e1124 doi: 10.1371/journal.pone.0001124
    Yunick RP. An assessment of the irruptive status of the Boreal Chickadee in New York State. J. Field Ornithol. 1984;55:31-37
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(1)

    Article Metrics

    Article views (239) PDF downloads(3) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return