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Urban Ecosystems

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21-12-2022

Estimates of wildlife species richness, occupancy, and habitat preference in a residential landscape in New York State

Authors: Stacy Mowry, Jennifer Pendleton, Felicia Keesing, Marissa Teator, Richard S. Ostfeld

Published in: Urban Ecosystems | Issue 3/2023

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Abstract

Despite the widespread adoption of motion-triggered camera traps, studies using camera traps to characterize wildlife communities in residential areas in North America are limited. To fill this data gap, we placed camera traps over three seasons in 22 residential neighborhoods within Dutchess County, NY. To account for imperfect detection, we applied individual-level and community-level Bayesian site-occupancy models to these data. Overall, we captured 64,639 independent detections over 17,820 camera trap days. We detected between 17 and 22 mammal and non-passerine bird species in each of the seasons of data collection, while our community models estimated between 24 and 33 mammal and non-passerine bird species in each season. Small, cryptic species were not reliably captured by camera traps, limiting our ability to model their occupancy. We identified five species: raccoons (Procyon lotor), eastern gray squirrels (Sciurus carolinensis), red foxes (Vulpes vulpes), Virginia opossums (Didelphis virginiana), and white-tailed deer (Odocoileus virginianus) found in all neighborhoods. The most common covariate included in our final occupancy models was the percent of area within each neighborhood that was an impervious surface, which positively affected occupancy for some species, and negatively affected occupancy for others. Forest cover, the second most common variable in our final models, negatively affected occupancy for all species. Our estimates characterize a baseline for quantifying species richness and composition in residential areas of Dutchess County, NY and surrounding regions, and offer a comparison to similar studies in natural areas. Overall, the results improve understanding of how residential landscapes affect individual species and communities.

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Anderson EM, MJ Lovallo (2003) Bobcat and lynx. In: Feldhamer GA, Thompson BC, Chapman JA (eds) Wild mammals of North America, 2nd edn. Johns Hopkins University Press, Baltimore, Maryland

Baguette M, van Dyck H (2007) Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal. Landscape Ecol 22:1117–1129CrossRef

Bateman PW, Fleming PA (2012) Big city life: carnivores in urban environments. J Zool 287:1–23CrossRef

Broms KM, Hooten MB, Fitzpatrick RM (2016) Model selection and assessment for multi-species occupancy models. Ecology 97:1759–1770CrossRefPubMed

Cloyed CS, Cappelli LR, Tilson DA, Crawford JA, Dell AI (2018) Using remote camera traps to assess mammal and bird assemblages 1 across a complex environmental landscape. J Fish Wildl Manage 9(2):485–495. doi:https://doi.org/10.3996/122017-JFWM-103CrossRef

Cove M, Jones B, Bossert A, Clever D, Dunwoody R, White B, Jackson V (2012) Use of Camera Traps to examine the Mesopredator Release Hypothesis in a fragmented midwestern Landscape. Am Midl Nat 168(2):456–465. doi: https://doi.org/10.1674/0003-0031-168.2.456CrossRef

Crooks KR (2002) Relative sensitivities of mammalian carnivores to Habitat Fragmentation. Conserv Biol 16(2):48–502CrossRef

Cusack JJ et al (2015) Random versus Game Trail-Based Camera Trap Placement Strategy for Monitoring Terrestrial Mammal Communities. PLoS ONE 10(5). doi:https://doi.org/10.1371/journal.pone.0126373

Delisle ZJ, Flaherty EA, Nobbe MR, Wzientek CM, Swihart RK (2021) Next-generation camera trapping: systematic review of historic Trends suggests Keys to expanded Research Applications in Ecology and Conservation. Front Ecol Evol 9:617–996CrossRef

Dorazio RM, Royle JA, Söderström B, Glimskär A (2006) Estimating species richness and accumulation by modeling species occurrence and detectability. Ecology 87:842–854. doi: https://doi.org/10.1890/0012-9658(2006)87[842:ESRAAB]2.0.CO;2CrossRefPubMed

Duffus D, Dearden P (1990) Non-consumptive wildlife-oriented recreation: a conceptual framework. Biol Conserv 53(3):213–231. doi: https://doi.org/10.1016/0006-3207(90)90087-6CrossRef

Eakin C, Hunter M, Calhoun A (2018) Bird and mammal use of vernal pools along an urban development gradient. Urban Ecosyst 21(6):1029–1041. doi: https://doi.org/10.1007/s11252-018-0782-6CrossRef

Fahrig L, Rytwinski T (2009) Effects of roads on animal abundance: an empirical review and synthesis. Ecol Soc 14:1–21CrossRef

Farr C, Pejchar L, Reed S (2017) Subdivision design and stewardship affect bird and mammal use of conservation developments. Ecol Appl 27(4):1236–1252. doi: https://doi.org/10.1002/eap.1517CrossRefPubMed

Fidino M, Gallo T, Lehrer E, Murray M, Kay C, Sander H et al (2020) Landscape-scale differences among cities alter common species’ responses to urbanization. Ecol Appl 31(2). doi: https://doi.org/10.1002/eap.2253

Gallo T, Fidino M, Lehrer E, Magle S (2019) Urbanization alters predator-avoidance behaviours. J Anim Ecol 88(5):793–803. doi: https://doi.org/10.1111/1365-2656.12967CrossRefPubMed

Gehrt S, Brown J, Anchor C (2011) Is the Urban Coyote a misanthropic synanthrope? The case from Chicago. Cities And The Environment 4(1):1–25. doi: https://doi.org/10.15365/cate.4132011CrossRef

Gelman A, Hwang J, Vehtari A (2014) Understanding predictive information criteria for bayesian models. Stat Comput 24:997–1016. doi:https://doi.org/10.1007/s11222-013-9416-2CrossRef

Hansen C, Parsons A, Kays R, Millspaugh J (2020) Does Use of Backyard Resources Explain the Abundance of Urban Wildlife? Frontiers In Ecology And Evolution 8. doi: https://doi.org/10.3389/fevo.2020.570771

Haverland MB, Veech JA (2017) Examining the occurrence of mammal species in natural areas within a rapidly urbanizing region of Texas, USA. Landsc Urban Plann 157:221–230CrossRef

Hendy H, Mann C (2018) Camelot -intuitive software for camera-trap data management. Oryx 52(1):15–15. Doi:10.107/S0030605317001818CrossRef

Jackson N, Fahrig L (2014) Landscape context affects genetic diversity at a much larger spatial extent than population abundance. Ecology 95(4):871–881. doi: https://doi.org/10.1890/13-0388.1CrossRefPubMed

Kays R, Parsons A (2014) Mammals in and around suburban yards, and the attraction of chicken coops. Urban Ecosyst 17(3):691–705. doi: https://doi.org/10.1007/s11252-014-0347-2CrossRef

Kays R et al (2017) Does hunting or hiking affect wildlife communities in protected areas? J Appl Ecol 54:242–252CrossRef

Keesing F, Mowry S, Bremer W, Duerr S, Evans AS, Fischhoff IR, Ostfeld RS (2022) Effects of tick-control interventions on tick abundance, human encounters with ticks, and incidence of tickborne diseases in residential neighborhoods, New York, USA. Emerg Infect Dis 28(5):957–966. doi:https://doi.org/10.3201/eid2805.211146CrossRefPubMedPubMedCentral

Keim JL, Lele SR, DeWitt PD, Fitzpatrick JJ, Jenni NS (2019) Estimating the intensity of use by interacting predators and prey using camera traps. J Anim Ecol 88:690–701CrossRefPubMed

Kelly MJ, Holub EL (2008) Camera trapping of carnivores: trap success among camera types and across species, and habitat selection by species, on Salt Pond Mountain, Giles County, Virginia. Northeastern Naturalist 15:249–262CrossRef

Kery M (2010) WinBUGS for Ecologists. Burlington, MA

Kindlmann P, Burel F (2008) Connectivity measures: a review. Landscape Ecol 23:879–890

Kolowski JM, Forrester TD (2017) Camera trap placement and the potential for bias due to trails and other features. PLoS ONE 12:e0186679CrossRefPubMedPubMedCentral

Kowalski A et al (2015) Effects of landscape covariates on the distribution and detection probabilities of mammalian carnivores. J Mammal 96:511–521CrossRef

LaPoint S, Gallery P, Wikelski M, Kays R (2013) Animal behavior, cost-based corridor models, and real corridors. Landscape Ecol 28:1615CrossRef

Lawler JJ, Lewis DJ, Nelson E et al (2014) Projected land-use change impacts on ecosystem services in the United States. Proceedings Of The National Academy Of Sciences USA 11:7492–7497

Lehrer E, Schooley R, Whittington J (2012) Survival and antipredator behavior of woodchucks (Marmota monax) along an urban–agricultural gradient. Can J Zool 90(1):12–21. doi: https://doi.org/10.1139/z11-107CrossRef

Linske M, Williams S, Stafford K, Ortega I (2018) Ixodes scapularis (Acari: Ixodidae) Reservoir host diversity and abundance impacts on dilution of Borrelia burgdorferi (Spirochaetales: Spirochaetaceae) in residential and Woodland Habitats in Connecticut, United States. J Med Entomol 55(3):681–690. doi: https://doi.org/10.1093/jme/tjx237CrossRefPubMed

Liu X, Huang Y, Xu X, Li X, Li X, Ciais P et al (2020) High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nat Sustain 3:564–570. doi: https://doi.org/10.1038/s41893-020-0521-xCrossRef

LoGiudice K, Ostfeld R, Schmidt K, Keesing F (2003) The ecology of infectious disease: Effects of host diversity and community composition on Lyme disease risk. Proceedings Of The National Academy Of Sciences 100(2):567–571 doi: https://doi.org/10.1073/pnas.0233733100

LoGiudice K, Duerr S, Newhouse M, Schmidt K, Killilea M, Ostfeld R (2008) Impact of host community composition on Lyme disease risk. Ecology 89(10):2841–2849. doi: https://doi.org/10.1890/07-1047.1CrossRefPubMed

Mackenzie DI et al (2002) Estimating site occupancy Rates when detection probabilities are less Than one. Ecology 83(8):2248–2255CrossRef

Mayer M (2020) splitTools: Tools for Data Splitting. R package version 0.3.1

Mccoy JC, Ditchkoff SS, Steury TD (2011) Bias associated with baited camera sites for assessing population characteristics of deer. J Wildl Manag 75(2):472–477CrossRef

McDonnell MJ, Hahs AK (2008) The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions. Landscape Ecol 23:1143–1155CrossRef

McKinney ML (2008) Effects of urbanization on species richness: a review of plants and animals. Urban Ecosyst 11:161–176CrossRef

Moll R, Cepek J, Lorch P, Dennis P, Robison T, Montgomery R (2020) At what spatial scale(s) do mammals respond to urbanization? Ecography 43(2):171–183. doi: https://doi.org/10.1111/ecog.04762CrossRef

Morey P, Gese E, Gehrt S (2007) Spatial and temporal variation in the Diet of Coyotes in the Chicago Metropolitan Area. Am Midl Nat 158(1):147–161. doi: https://doi.org/10.1674/0003-0031(2007)158[147:satvit]2.0.co;2CrossRef

Moruzzi TL, Fuller TK, DeGraaf RM, Brooks RT, Li W (2002) Assessing remotely triggered cameras for surveying carnivore distribution. Wildl Soc Bull 30:380–386

Palmer MS et al (2018) Evaluating relative abundance indices for terrestrial herbivores from large-scale camera trap surveys. Afr J Ecol 56(4):791–803CrossRef

Parsons A, Bland C, Forrester T, Baker-Whatton M, Schuttler S, McShea W et al (2016) The ecological impact of humans and dogs on wildlife in protected areas in eastern North America. Biol Conserv 203:75–88. doi: https://doi.org/10.1016/j.biocon.2016.09.001CrossRef

Parsons AW et al (2018a) Mammal communities are larger and more diverse in moderately developed areas. eLife 7. doi:https://doi.org/10.7554/eLife.38012

Parsons AW, Goforth C, Costello R, Kays R (2018b) The value of citizen science for ecological monitoring of mammals. PeerJ 6:e4536. doi: https://doi.org/10.7717/peerj.4536CrossRefPubMedPubMedCentral

Parsons A, Rota C, Forrester T, Baker-Whatton M, McShea W, Schuttler S et al (2019) Urbanization focuses carnivore activity in remaining natural habitats, increasing species interactions. J Appl Ecol 56(8):1894–1904. doi: https://doi.org/10.1111/1365-2664.13385CrossRef

R Core Team (2020) R: A Language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/

Randler C, Kalb N (2018) Distance and size matters: a comparison of six camera traps and their usefulness for wild birds. Ecol Evol 8:7151–7163CrossRefPubMedPubMedCentral

Rosatte R, C MJ, Power, Maclnnes CD (1991) The ecology of urban skunks, raccoons and foxes in Metropolitan Toronto. In: Adams L, leedy DL (eds) Wildlife conservation in metropolitan environments. National Institute for Urban Wildlife, Columbia, Maryland,USA, pp 31–38

Stark J, Aiello-Lammens M, Grigione M (2019) The effects of urbanization on carnivores in the New York metropolitan area. Urban Ecosyst 23(2):215–225. doi: https://doi.org/10.1007/s11252-019-00923-0CrossRef

Strutz S, Ligges U, Gelman A (2005) R2WinBUGS: A Package for running WinBUGS from R. J Stat Softw 12(3):1–16

Thomas A (1994) BUGS: a statistical modelling package. TRA/BCS Modular Languages Newsletter 2:36–38

Ueda K(2021) iNaturalist Research-grade Observations. iNaturalist.org. Occurrence dataset https://doi.org/10.15468/ab3s5x accessed via GBIF.org on 2021-05-21

Venter O, Sanderson E, Magrach A et al (2016) Global terrestrial human footprint maps for 1993 and 2009. Sci Data 3::160067. doi: https://doi.org/10.1038/sdata.2016.67CrossRefPubMedPubMedCentral

Wall S (2002) Masting in animal-dispersed pines facilitates seed dispersal. Ecology 83(12):3508. doi: https://doi.org/10.2307/3072099CrossRef

Wearn OR, Glover-Kapfer P (2019) Snap happy: camera traps are an effective sampling tool when compared with alternative methods. Royal Soc Open Sci 6:181748. doi: https://doi.org/10.1098/rsos.181748CrossRef

Williams B, Venter O, Allan J, Atkinson S, Rehbein J, Ward M et al (2020) Change in Terrestrial Human Footprint drives continued loss of Intact Ecosystems. One Earth 3(3):371–382. doi: https://doi.org/10.1016/j.oneear.2020.08.009CrossRef

Title: Estimates of wildlife species richness, occupancy, and habitat preference in a residential landscape in New York State
Authors: Stacy Mowry
Jennifer Pendleton
Felicia Keesing
Marissa Teator
Richard S. Ostfeld
Publication date: 21-12-2022
Publisher: Springer US
Published in: Urban Ecosystems / Issue 3/2023
Print ISSN: 1083-8155
Electronic ISSN: 1573-1642
DOI: https://doi.org/10.1007/s11252-022-01318-4

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