7 results on '"Pendergast, Mary E."'
Search Results
2. SNAPSHOT USA 2021: A third coordinated national camera trap survey of the United States.
- Author
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Shamon H, Maor R, Cove MV, Kays R, Adley J, Alexander PD, Allen DN, Allen ML, Appel CL, Barr E, Barthelmess EL, Baruzzi C, Bashaw K, Bastille-Rousseau G, Baugh ME, Belant J, Benson JF, Bespoyasny BA, Bird T, Bogan DA, Brandt LSE, Bresnan CE, Brooke JM, Buderman FE, Buzzell SG, Cheeseman AE, Chitwood MC, Chrysafis P, Collins MK, Collins DP, Compton JA, Conner LM, Cosby OG, Coster SS, Crawford B, Crupi AP, Darracq AK, Davis ML, DeGregorio BA, Denningmann KL, Dougherty KD, Driver A, Edelman AJ, Ellington EH, Ellis-Felege SN, Ellison CN, Fantle-Lepczyk JE, Farris ZJ, Favreau J, Fernandez P, Fisher-Reid MC, Fitzpatrick MC, Flaherty EA, Forrester TD, Fritts SR, Gallo T, Gerber BD, Giery ST, Glasscock JL, Gonatas AD, Grady AC, Green AM, Gregory T, Griffin N, Hagen RH, Hansen CP, Hansen LP, Hasstedt SC, Hernández-Yáñez H, Herrera DJ, Horan RV 3rd, Jackson VL, Johnson L, Jordan MJ, Kahano W, Kiser J, Knowles TW, Koeck MM, Koroly C, Kuhn KM, Kuprewicz EK, Lafferty DJR, LaPoint SD, Lashley M, Lathrop RG, Lee TE Jr, Lepczyk CA, Lesmeister DB, Lombardi JV, Long RA, Lonsinger RC, MacKay P, Maher SP, Mason DS, Millspaugh JJ, Moll RJ, Moon JB, Mortelliti A, Mychajliw AM, Nagy CM, Neiswenter SA, Nelson DL, Nemes CE, Nielsen CK, Olson E, O'Mara MT, O'Neill BJ, Page BR, Parsons E, Pease BS, Pendergast ME, Proctor M, Quick H, Rega-Brodsky CC, Rentz MS, Rezendes K, Rich D, Risch DR, Romero A, Rooney BR, Rota CT, Samples CA, Schalk CM, Sekercioğlu ÇH, Sergeyev M, Smith AB, Smith DS, Sperry JH, Stenglein JL, Stokes MK, Stutzman JS, Todd KR, Vanek JP, Varga W, Wardle ZM, Webb SL, Wehr NH, Whipple LS, Whittier CA, Widness JS, Williamson J, Wilson AM, Wolf AJ, Zimova M, Zorn AS, and McShea WJ
- Subjects
- United States, Animals, Mammals, Ecosystem, Photography
- Abstract
SNAPSHOT USA is a multicontributor, long-term camera trap survey designed to survey mammals across the United States. Participants are recruited through community networks and directly through a website application (https://www.snapshot-usa.org/). The growing Snapshot dataset is useful, for example, for tracking wildlife population responses to land use, land cover, and climate changes across spatial and temporal scales. Here we present the SNAPSHOT USA 2021 dataset, the third national camera trap survey across the US. Data were collected across 109 camera trap arrays and included 1711 camera sites. The total effort equaled 71,519 camera trap nights and resulted in 172,507 sequences of animal observations. Sampling effort varied among camera trap arrays, with a minimum of 126 camera trap nights, a maximum of 3355 nights, a median 546 nights, and a mean 656 ± 431 nights. This third dataset comprises 51 camera trap arrays that were surveyed during 2019, 2020, and 2021, along with 71 camera trap arrays that were surveyed in 2020 and 2021. All raw data and accompanying metadata are stored on Wildlife Insights (https://www.wildlifeinsights.org/), and are publicly available upon acceptance of the data papers. SNAPSHOT USA aims to sample multiple ecoregions in the United States with adequate representation of each ecoregion according to its relative size. Currently, the relative density of camera trap arrays varies by an order of magnitude for the various ecoregions (0.22-5.9 arrays per 100,000 km
2 ), emphasizing the need to increase sampling effort by further recruiting and retaining contributors. There are no copyright restrictions on these data. We request that authors cite this paper when using these data, or a subset of these data, for publication. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government., (© 2024 The Ecological Society of America.)- Published
- 2024
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3. Gentrification drives patterns of alpha and beta diversity in cities.
- Author
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Fidino M, Sander HA, Lewis JS, Lehrer EW, Rivera K, Murray MH, Adams HC, Kase A, Flores A, Stankowich T, Schell CJ, Salsbury CM, Rohnke AT, Jordan MJ, Green AM, R Gramza A, Zellmer AJ, Williamson J, Surasinghe TD, Storm H, Sparks KL, Ryan TJ, Remine KR, Pendergast ME, Mullen K, Minier DE, Middaugh CR, Mertl AL, McClung MR, Long RA, Larson RN, Kohl MT, Harris LR, Hall CT, Haight JD, Drake D, Davidge AM, Cheek AO, Bloch CP, Biro EG, Anthonysamy WJB, Angstmann JL, Allen ML, Adalsteinsson SA, Short Gianotti AG, LaMontagne JM, Gelmi-Candusso TA, and Magle SB
- Subjects
- Animals, Humans, Cities, Mammals, Animals, Wild, Ecosystem, Residential Segregation, Biodiversity
- Abstract
While there is increasing recognition that social processes in cities like gentrification have ecological consequences, we lack nuanced understanding of the ways gentrification affects urban biodiversity. We analyzed a large camera trap dataset of mammals (>500 g) to evaluate how gentrification impacts species richness and community composition across 23 US cities. After controlling for the negative effect of impervious cover, gentrified parts of cities had the highest mammal species richness. Change in community composition was associated with gentrification in a few cities, which were mostly located along the West Coast. At the species level, roughly half (11 of 21 mammals) had higher occupancy in gentrified parts of a city, especially when impervious cover was low. Our results indicate that the impacts of gentrification extend to nonhuman animals, which provides further evidence that some aspects of nature in cities, such as wildlife, are chronically inaccessible to marginalized human populations., Competing Interests: Competing interests statement:The authors declare no competing interest.
- Published
- 2024
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4. Urbanization, climate and species traits shape mammal communities from local to continental scales.
- Author
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Haight JD, Hall SJ, Fidino M, Adalsteinsson SA, Ahlers AA, Angstmann J, Anthonysamy WJB, Biro E, Collins MK, Dugelby B, Gallo T, Green AM, Hartley L, Jordan MJ, Kay CAM, Lehrer EW, Long RA, MacDougall B, Magle SB, Minier DE, Mowry C, Murray M, Nininger K, Pendergast ME, Remine KR, Ryan T, Salsbury C, Sander HA, Schell CJ, Șekercioğlu ÇH, Shier CJ, Simon KC, St Clair CC, Stankowich T, Stevenson CJ, Wayne L, Will D, Williamson J, Wilson L, Zellmer AJ, and Lewis JS
- Subjects
- Animals, North America, Climate, Climate Change, Urbanization, Mammals, Biodiversity
- Abstract
Human-driven environmental changes shape ecological communities from local to global scales. Within cities, landscape-scale patterns and processes and species characteristics generally drive local-scale wildlife diversity. However, cities differ in their structure, species pools, geographies and histories, calling into question the extent to which these drivers of wildlife diversity are predictive at continental scales. In partnership with the Urban Wildlife Information Network, we used occurrence data from 725 sites located across 20 North American cities and a multi-city, multi-species occupancy modelling approach to evaluate the effects of ecoregional characteristics and mammal species traits on the urbanization-diversity relationship. Among 37 native terrestrial mammal species, regional environmental characteristics and species traits influenced within-city effects of urbanization on species occupancy and community composition. Species occupancy and diversity were most negatively related to urbanization in the warmer, less vegetated cities. Additionally, larger-bodied species were most negatively impacted by urbanization across North America. Our results suggest that shifting climate conditions could worsen the effects of urbanization on native wildlife communities, such that conservation strategies should seek to mitigate the combined effects of a warming and urbanizing world., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)
- Published
- 2023
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5. SNAPSHOT USA 2020: A second coordinated national camera trap survey of the United States during the COVID-19 pandemic.
- Author
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Kays R, Cove MV, Diaz J, Todd K, Bresnan C, Snider M, Lee TE Jr, Jasper JG, Douglas B, Crupi AP, Weiss KCB, Rowe H, Sprague T, Schipper J, Lepczyk CA, Fantle-Lepczyk JE, Davenport J, Zimova M, Farris Z, Williamson J, Fisher-Reid MC, Rezendes D, King SM, Chrysafis P, Jensen AJ, Jachowski DS, King KC, Herrera DJ, Moore S, van der Merwe M, Lombardi JV, Sergeyev M, Tewes ME, Horan RV 3rd, Rentz MS, Driver A, Brandt RSE, Nagy C, Alexander P, Maher SP, Darracq AK, Barr EG, Hess G, Webb SL, Proctor MD, Vanek JP, Lafferty DJR, Hubbard T, Jiménez JE, McCain C, Favreau J, Fogarty J, Hill J, Hammerich S, Gray M, Rega-Brodsky CC, Durbin C, Flaherty EA, Brooke J, Coster SS, Lathrop RG, Russell K, Bogan DA, Shamon H, Rooney B, Rockhill A, Lonsinger RC, O'Mara MT, Compton JA, Barthelmess EL, Andy KE, Belant JL, Petroelje T, Wehr NH, Beyer DE Jr, Scognamillo DG, Schalk C, Day K, Ellison CN, Ruthven C, Nunley B, Fritts S, Whittier CA, Neiswenter SA, Pelletier R, DeGregorio BA, Kuprewicz EK, Davis ML, Baruzzi C, Lashley MA, McDonald B, Mason D, Risch DR, Allen ML, Whipple LS, Sperry JH, Alexander E, Wolff PJ, Hagen RH, Mortelliti A, Bolinjcar A, Wilson AM, Van Norman S, Powell C, Coletto H, Schauss M, Bontrager H, Beasley J, Ellis-Felege SN, Wehr SR, Giery ST, Pekins CE, LaRose SH, Revord RS, Hansen CP, Hansen L, Millspaugh JJ, Zorn A, Gerber BD, Rezendes K, Adley J, Sevin J, Green AM, Şekercioğlu ÇH, Pendergast ME, Mullen K, Bird T, Edelman AJ, Romero A, O'Neill BJ, Schmitz N, Vandermus RA, Alston JM, Kuhn KM, Hasstedt SC, Lesmeister DB, Appel CL, Rota C, Stenglein JL, Anhalt-Depies C, Nelson CL, Long RA, Remine KR, Jordan MJ, Elbroch LM, Bergman D, Cendejas-Zarelli S, Sager-Fradkin K, Conner M, Morris G, Parsons E, Hernández-Yáñez H, and McShea WJ
- Subjects
- Animals, Animals, Wild, Birds, Humans, Mammals, Pandemics, United States, COVID-19 epidemiology
- Abstract
Managing wildlife populations in the face of global change requires regular data on the abundance and distribution of wild animals, but acquiring these over appropriate spatial scales in a sustainable way has proven challenging. Here we present the data from Snapshot USA 2020, a second annual national mammal survey of the USA. This project involved 152 scientists setting camera traps in a standardized protocol at 1485 locations across 103 arrays in 43 states for a total of 52,710 trap-nights of survey effort. Most (58) of these arrays were also sampled during the same months (September and October) in 2019, providing a direct comparison of animal populations in 2 years that includes data from both during and before the COVID-19 pandemic. All data were managed by the eMammal system, with all species identifications checked by at least two reviewers. In total, we recorded 117,415 detections of 78 species of wild mammals, 9236 detections of at least 43 species of birds, 15,851 detections of six domestic animals and 23,825 detections of humans or their vehicles. Spatial differences across arrays explained more variation in the relative abundance than temporal variation across years for all 38 species modeled, although there are examples of significant site-level differences among years for many species. Temporal results show how species allocate their time and can be used to study species interactions, including between humans and wildlife. These data provide a snapshot of the mammal community of the USA for 2020 and will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, and the impacts of species interactions on daily activity patterns. There are no copyright restrictions, and please cite this paper when using these data, or a subset of these data, for publication., (© 2022 The Authors. Ecology © 2022 The Ecological Society of America.)
- Published
- 2022
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6. Wealth and urbanization shape medium and large terrestrial mammal communities.
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Magle SB, Fidino M, Sander HA, Rohnke AT, Larson KL, Gallo T, Kay CAM, Lehrer EW, Murray MH, Adalsteinsson SA, Ahlers AA, Anthonysamy WJB, Gramza AR, Green AM, Jordan MJ, Lewis JS, Long RA, MacDougall B, Pendergast ME, Remine K, Simon KC, St Clair CC, Shier CJ, Stankowich T, Stevenson CJ, Zellmer AJ, and Schell CJ
- Subjects
- Animals, Biodiversity, Cities, Humans, Mammals, Ecosystem, Urbanization
- Abstract
Urban biodiversity provides critical ecosystem services and is a key component to environmentally and socially sustainable cities. However, biodiversity varies greatly within and among cities, leading to human communities with changing and unequal experiences with nature. The "luxury effect," a hypothesis that predicts a positive correlation between wealth, typically measured by per capita income, and species richness may be one indication of these inequities. While the luxury effect is well studied for some taxa, it has rarely been investigated for mammals, which provide unique ecosystem services (e.g., biological pest control) and exhibit significant potential for negative human-wildlife interactions (e.g., nuisances or conflicts). We analyzed a large dataset of mammal detections across 20 North American cities to test whether the luxury effect is consistent for medium- to large-sized terrestrial mammals across diverse urban contexts. Overall, support for the luxury effect, as indicated by per capita income, was inconsistent; we found evidence of a luxury effect in approximately half of our study cities. Species richness was, however, highly and negatively correlated with urban intensity in most cities. We thus suggest that economic factors play an important role in shaping urban mammal communities for some cities and species, but that the strongest driver of urban mammal diversity is urban intensity. To better understand the complexity of urban ecosystems, ecologists and social scientists must consider the social and political factors that drive inequitable human experiences with nature in cities., (© 2021 John Wiley & Sons Ltd.)
- Published
- 2021
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7. Disturbance type and species life history predict mammal responses to humans.
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Suraci JP, Gaynor KM, Allen ML, Alexander P, Brashares JS, Cendejas-Zarelli S, Crooks K, Elbroch LM, Forrester T, Green AM, Haight J, Harris NC, Hebblewhite M, Isbell F, Johnston B, Kays R, Lendrum PE, Lewis JS, McInturff A, McShea W, Murphy TW, Palmer MS, Parsons A, Parsons MA, Pendergast ME, Pekins C, Prugh LR, Sager-Fradkin KA, Schuttler S, Şekercioğlu ÇH, Shepherd B, Whipple L, Whittington J, Wittemyer G, and Wilmers CC
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- Animals, Ecosystem, Human Activities, Humans, Mammals, North America, Animals, Wild, Life History Traits
- Abstract
Human activity and land use change impact every landscape on Earth, driving declines in many animal species while benefiting others. Species ecological and life history traits may predict success in human-dominated landscapes such that only species with "winning" combinations of traits will persist in disturbed environments. However, this link between species traits and successful coexistence with humans remains obscured by the complexity of anthropogenic disturbances and variability among study systems. We compiled detection data for 24 mammal species from 61 populations across North America to quantify the effects of (1) the direct presence of people and (2) the human footprint (landscape modification) on mammal occurrence and activity levels. Thirty-three percent of mammal species exhibited a net negative response (i.e., reduced occurrence or activity) to increasing human presence and/or footprint across populations, whereas 58% of species were positively associated with increasing disturbance. However, apparent benefits of human presence and footprint tended to decrease or disappear at higher disturbance levels, indicative of thresholds in mammal species' capacity to tolerate disturbance or exploit human-dominated landscapes. Species ecological and life history traits were strong predictors of their responses to human footprint, with increasing footprint favoring smaller, less carnivorous, faster-reproducing species. The positive and negative effects of human presence were distributed more randomly with respect to species trait values, with apparent winners and losers across a range of body sizes and dietary guilds. Differential responses by some species to human presence and human footprint highlight the importance of considering these two forms of human disturbance separately when estimating anthropogenic impacts on wildlife. Our approach provides insights into the complex mechanisms through which human activities shape mammal communities globally, revealing the drivers of the loss of larger predators in human-modified landscapes., (© 2021 John Wiley & Sons Ltd.)
- Published
- 2021
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