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Hoy JA, Haas GT, Hallock P. Was the massive increase in use of teratogenic agrichemicals in western states (USA) associated with declines in wild ruminant populations between 1994 and 2013? CHEMOSPHERE 2024; 359:142320. [PMID: 38735490 DOI: 10.1016/j.chemosphere.2024.142320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/04/2024] [Accepted: 05/10/2024] [Indexed: 05/14/2024]
Abstract
Population declines were documented in multiple ruminant species in Montana and surrounding states starting in 1995. While weather, food sources, and predation certainly contributed, the declines were often attributed, at least partly, to unexplained factors. Use of teratogenic agrichemicals, notably neonicotinoid insecticides, fungicides, and glyphosate-based herbicides, massively increased regionally in 1994-96. The question explored in this review is whether this vastly increased use of these teratogenic pesticides might have contributed to observed population declines. We provide references and data documenting that specific developmental malformations on vertebrates can be associated with exposure to one or more of these agrichemicals. These pesticides are known to disrupt thyroid and other hormonal functions, mitochondrial functions, and biomineralization, all of which are particularly harmful to developing fetuses. Exposures can manifest as impaired embryonic development of craniofacial features, internal and reproductive organs, and musculoskeletal/integumental systems, often resulting in reproductive failure or weakened neonates. This paper reviews: a) studies of ruminant populations in the region, especially elk and white-tailed deer, prior to and after 1994; b) published and new data on underdeveloped facial bones in regional ruminants; c) published and new data on reproductive abnormalities in live and necropsied animals before and after 1994; and d) studies documenting the effects of exposures to three of the most applied teratogenic chemicals. While answers to the question posed above are complex and insufficient evidence is available for definitive answers, this review provides ideas for further consideration.
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Affiliation(s)
- Judith A Hoy
- 2858 Pheasant Lane, Stevensville, MT, 59870, USA; Bitterroot Wildlife Rehab Center, Stevensville, MT, 59870, (now retired), USA
| | - Gary T Haas
- Big Sky Beetle Works, 5189 Highway 93 North, Box 776, Florence, MT, 59833-0776, USA
| | - Pamela Hallock
- College of Marine Science, University of South Florida, 140 Seventh Avenue S., St. Petersburg, FL, 33701, USA.
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2
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Wilson M, Coulson G. Early warning signs of population irruptions in Eastern Grey Kangaroo (
Macropus giganteus
). ECOLOGICAL MANAGEMENT & RESTORATION 2021. [DOI: 10.1111/emr.12450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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3
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Becker JA, Hutchinson MC, Potter AB, Park S, Guyton JA, Abernathy K, Americo VF, Conceiçāo A, Kartzinel TR, Kuziel L, Leonard NE, Lorenzi E, Martins NC, Pansu J, Scott WL, Stahl MK, Torrens KR, Stalmans ME, Long RA, Pringle RM. Ecological and behavioral mechanisms of density‐dependent habitat expansion in a recovering African ungulate population. ECOL MONOGR 2021. [DOI: 10.1002/ecm.1476] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Justine A. Becker
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
- Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, 82072, USA
| | - Matthew C. Hutchinson
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Arjun B. Potter
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Shinkyu Park
- Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA
| | - Jennifer A. Guyton
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Kyler Abernathy
- Exploration Technology Lab National Geographic Society Washington D.C. 20036 USA
| | - Victor F. Americo
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Anagledis Conceiçāo
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Tyler R. Kartzinel
- Department of Ecology and Evolutionary Biology Brown University Providence Rhode Island 02912 USA
- Institute at Brown for Environment and Society Brown University Providence Rhode Island 02912 USA
| | - Luca Kuziel
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Naomi E. Leonard
- Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA
| | - Eli Lorenzi
- Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA
| | - Nuno C. Martins
- Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA
| | - Johan Pansu
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
- Station Biologique de Roscoff UMR 7144 CNRS‐Sorbonne Université Roscoff France
- CSIRO Ocean & Atmosphere Lucas Heights New South Wales Australia
| | - William L. Scott
- Department of Mechanical Engineering Bucknell University Lewisburg Pennsylvania 17837 USA
| | - Maria K. Stahl
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Kai R. Torrens
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Marc E. Stalmans
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Ryan A. Long
- Department of Fish and Wildlife Sciences University of Idaho Moscow Idaho 83844 USA
| | - Robert M. Pringle
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
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4
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Takeshita K, Ueno M, Takahashi H, Ikeda T, Mitsuya R, Yoshida T, Igota H, Yamamura K, Yoshizawa R, Kaji K. Demographic analysis of the irruptive dynamics of an introduced sika deer population. Ecosphere 2018. [DOI: 10.1002/ecs2.2398] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Kazutaka Takeshita
- Laboratory of Wildlife Management; Tokyo University of Agriculture and Technology; 3-5-8 Saiwai-cho Fuchu Tokyo 183-8509 Japan
| | - Mayumi Ueno
- Eastern Field Station; Institute of Environmental Sciences; Hokkaido Research Organization; 2-2-54 Urami Kushiro Hokkaido 085-8588 Japan
| | - Hiroshi Takahashi
- Tohoku Research Center, Forestry and Forest Products Research Institute; 92-25 Nabeyashiki, Shimo-Kuriyagawa Morioka 020-0123 Japan
| | - Takashi Ikeda
- Laboratory of Wildlife Management; Tokyo University of Agriculture and Technology; 3-5-8 Saiwai-cho Fuchu Tokyo 183-8509 Japan
| | - Ryoko Mitsuya
- Laboratory of Wildlife Management; Tokyo University of Agriculture and Technology; 3-5-8 Saiwai-cho Fuchu Tokyo 183-8509 Japan
| | - Tsuyoshi Yoshida
- Department of Environmental and Symbiotic Science; Rakuno Gakuen University; 583 Midorimachi, Bunkyodai Ebetsu Hokkaido 069-8501 Japan
| | - Hiromasa Igota
- Department of Environmental and Symbiotic Science; Rakuno Gakuen University; 583 Midorimachi, Bunkyodai Ebetsu Hokkaido 069-8501 Japan
| | - Kohji Yamamura
- Institute for Agro-Environmental Sciences; NARO; 3-1-3 Kannondai Tsukuba Ibaraki 305-8604 Japan
| | - Ryo Yoshizawa
- Laboratory of Wildlife Management; Tokyo University of Agriculture and Technology; 3-5-8 Saiwai-cho Fuchu Tokyo 183-8509 Japan
| | - Koichi Kaji
- Laboratory of Wildlife Management; Tokyo University of Agriculture and Technology; 3-5-8 Saiwai-cho Fuchu Tokyo 183-8509 Japan
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Wilmers CC, Schmitz OJ. Effects of gray wolf‐induced trophic cascades on ecosystem carbon cycling. Ecosphere 2016. [DOI: 10.1002/ecs2.1501] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Christopher C. Wilmers
- Environmental Studies Department Center for Integrated Spatial Research University of California 1156 High Street Santa Cruz California 95064 USA
| | - Oswald J. Schmitz
- School of Forestry and Environmental Studies Yale University 370 Prospect Street New Haven Connecticut 06511 USA
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6
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Starns HD, Weckerly FW, Ricca MA, Duarte A. Vegetation changes associated with a population irruption by Roosevelt elk. Ecol Evol 2015; 5:109-20. [PMID: 25628868 PMCID: PMC4298438 DOI: 10.1002/ece3.1327] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Revised: 11/04/2014] [Accepted: 11/05/2014] [Indexed: 11/17/2022] Open
Abstract
Interactions between large herbivores and their food supply are central to the study of population dynamics. We assessed temporal and spatial patterns in meadow plant biomass over a 23-year period for meadow complexes that were spatially linked to three distinct populations of Roosevelt elk (Cervus elaphus roosevelti) in northwestern California. Our objectives were to determine whether the plant community exhibited a tolerant or resistant response when elk population growth became irruptive. Plant biomass for the three meadow complexes inhabited by the elk populations was measured using Normalized Difference Vegetation Index (NDVI), which was derived from Landsat 5 Thematic Mapper imagery. Elk populations exhibited different patterns of growth through the time series, whereby one population underwent a complete four-stage irruptive growth pattern while the other two did not. Temporal changes in NDVI for the meadow complex used by the irruptive population suggested a decline in forage biomass during the end of the dry season and a temporal decline in spatial variation of NDVI at the peak of plant biomass in May. Conversely, no such patterns were detected in the meadow complexes inhabited by the nonirruptive populations. Our findings suggest that the meadow complex used by the irruptive elk population may have undergone changes in plant community composition favoring plants that were resistant to elk grazing.
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Affiliation(s)
- Heath D Starns
- Department of Biology, Texas State UniversitySan Marcos, Texas, 78666
| | - Floyd W Weckerly
- Department of Biology, Texas State UniversitySan Marcos, Texas, 78666
| | - Mark A Ricca
- U.S. Geological Survey, Western Ecological Research Center800 Business Park Drive, Suite D, Dixon, California, 95620
| | - Adam Duarte
- Department of Biology, Texas State UniversitySan Marcos, Texas, 78666
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Ricca MA, Van Vuren DH, Weckerly FW, Williams JC, Miles AK. Irruptive dynamics of introduced caribou on Adak Island, Alaska: an evaluation of Riney-Caughley model predictions. Ecosphere 2014. [DOI: 10.1890/es13-00338.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Herrando-Pérez S, Delean S, Brook BW, Cassey P, Bradshaw CJA. Spatial climate patterns explain negligible variation in strength of compensatory density feedbacks in birds and mammals. PLoS One 2014; 9:e91536. [PMID: 24618822 PMCID: PMC3950218 DOI: 10.1371/journal.pone.0091536] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2013] [Accepted: 02/13/2014] [Indexed: 11/19/2022] Open
Abstract
The use of long-term population data to separate the demographic role of climate from density-modified demographic processes has become a major topic of ecological investigation over the last two decades. Although the ecological and evolutionary mechanisms that determine the strength of density feedbacks are now well understood, the degree to which climate gradients shape those processes across taxa and broad spatial scales remains unclear. Intuitively, harsh or highly variable environmental conditions should weaken compensatory density feedbacks because populations are hypothetically unable to achieve or maintain densities at which social and trophic interactions (e.g., competition, parasitism, predation, disease) might systematically reduce population growth. Here we investigate variation in the strength of compensatory density feedback, from long-term time series of abundance over 146 species of birds and mammals, in response to spatial gradients of broad-scale temperature precipitation variables covering 97 localities in 28 countries. We use information-theoretic metrics to rank phylogenetic generalized least-squares regression models that control for sample size (time-series length) and phylogenetic non-independence. Climatic factors explained < 1% of the remaining variation in density-feedback strength across species, with the highest non-control, model-averaged effect sizes related to extreme precipitation variables. We could not link our results directly to other published studies, because ecologists use contrasting responses, predictors and statistical approaches to correlate density feedback and climate--at the expense of comparability in a macroecological context. Censuses of multiple populations within a given species, and a priori knowledge of the spatial scales at which density feedbacks interact with climate, seem to be necessary to determine cross-taxa variation in this phenomenon. Despite the availability of robust modelling tools, the appropriate data have not yet been gathered for most species, meaning that we cannot yet make any robust generalisations about how demographic feedbacks interact with climate.
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Affiliation(s)
- Salvador Herrando-Pérez
- The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia, Australia
- Department of Biogeography and Global Change, National Museum of Natural Sciences, Spanish Research Council (CSIC), Madrid, Spain
| | - Steven Delean
- The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia, Australia
| | - Barry W. Brook
- The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia, Australia
| | - Phillip Cassey
- The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia, Australia
| | - Corey J. A. Bradshaw
- The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia, Australia
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9
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White PJ, Gower CN, Davis TL, Sheldon JW, White JR. Group dynamics of Yellowstone pronghorn. J Mammal 2012. [DOI: 10.1644/10-mamm-a-257.1] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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10
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Herrando-Perez S, Delean S, Brook BW, Bradshaw CJA. Decoupling of component and ensemble density feedbacks in birds and mammals. Ecology 2012; 93:1728-40. [PMID: 22919918 DOI: 10.1890/11-1415.1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
A component density feedback represents the effect of change in population size on single demographic rates, whereas an ensemble density feedback captures that effect on the overall growth rate of a population. Given that a population's growth rate is a synthesis of the interplay of all demographic rates operating in a population, we test the hypothesis that the strength of ensemble density feedback must augment with increasing strength of component density feedback, using long-term censuses of population size, fertility, and survival rates of 109 bird and mammal populations (97 species). We found that compensatory and depensatory component feedbacks were common (each detected in approximately 50% of the demographic rates). However, component feedback strength only explained <10% of the variation in ensemble feedback strength. To explain why, we illustrate the different sources of decoupling between component and ensemble feedbacks. We argue that the management of anthropogenic impacts on populations using component feedbacks alone is ill-advised, just as managing on the basis of ensemble feedbacks without a mechanistic understanding of the contributions made by its components and environmental variability can lead to suboptimal decisions.
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Affiliation(s)
- Salvador Herrando-Perez
- The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, South Australia 5005, Australia.
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11
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Herrando-Pérez S, Delean S, Brook BW, Bradshaw CJA. Strength of density feedback in census data increases from slow to fast life histories. Ecol Evol 2012; 2:1922-34. [PMID: 22957193 PMCID: PMC3433995 DOI: 10.1002/ece3.298] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2012] [Revised: 05/08/2012] [Accepted: 05/09/2012] [Indexed: 11/25/2022] Open
Abstract
Life-history theory predicts an increasing rate of population growth among species arranged along a continuum from slow to fast life histories. We examine the effects of this continuum on density-feedback strength estimated using long-term census data from >700 vertebrates, invertebrates, and plants. Four life-history traits (Age at first reproduction, Body size, Fertility, Longevity) were related statistically to Gompertz strength of density feedback using generalized linear mixed-effects models and multi-model inference. Life-history traits alone explained 10 to 30% of the variation in strength across species (after controlling for time-series length and phylogenetic nonindependence). Effect sizes were largest for body size in mammals and longevity in birds, and density feedback was consistently stronger for smaller-bodied and shorter-lived species. Overcompensatory density feedback (strength <-1) occurred in 20% of species, predominantly at the fast end of the life-history continuum, implying relatively high population variability. These results support the idea that life history leaves an evolutionary signal in long-term population trends as inferred from census data. Where there is a lack of detailed demographic data, broad life-history information can inform management and conservation decisions about rebound capacity from low numbers, and propensity to fluctuate, of arrays of species in areas planned for development, harvesting, protection, and population recovery.
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Affiliation(s)
- Salvador Herrando-Pérez
- The Environment Institute and School of Earth and Environmental Sciences, University of AdelaideSouth Australia, 5005, Australia
| | - Steven Delean
- The Environment Institute and School of Earth and Environmental Sciences, University of AdelaideSouth Australia, 5005, Australia
| | - Barry W Brook
- The Environment Institute and School of Earth and Environmental Sciences, University of AdelaideSouth Australia, 5005, Australia
| | - Corey J A Bradshaw
- The Environment Institute and School of Earth and Environmental Sciences, University of AdelaideSouth Australia, 5005, Australia
- South Australian Research and Development InstituteP.O. Box 120, Henley Beach, South Australia, 5022, Australia
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Barnowe-Meyer KK, White P, Byers JA. Maternal Investment by Yellowstone Pronghorn Following Winter Habitat Deterioration. WEST N AM NATURALIST 2011. [DOI: 10.3398/064.071.0209] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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13
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Kaji K, Saitoh T, Uno H, Matsuda H, Yamamura K. Adaptive management of sika deer populations in Hokkaido, Japan: theory and practice. POPUL ECOL 2010. [DOI: 10.1007/s10144-010-0219-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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14
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15
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Frank DA. Evidence for top predator control of a grazing ecosystem. OIKOS 2008. [DOI: 10.1111/j.0030-1299.2008.16846.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Boccadori SJ, White PJ, Garrott RA, Borkowski JJ, Davis TL. Yellowstone Pronghorn Alter Resource Selection After Sagebrush Decline. J Mammal 2008. [DOI: 10.1644/07-mamm-a-173.1] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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