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Popović T, Ćurčić NB, Đurđić S, Stanojević G, Raković M. An Assessment of the Climate Change Impacts on the Distribution of the Glacial Relict Woodpecker Three-Toed Woodpecker Picoides tridactylus. Animals (Basel) 2024; 14:1879. [PMID: 38997991 PMCID: PMC11240539 DOI: 10.3390/ani14131879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/04/2024] [Accepted: 06/17/2024] [Indexed: 07/14/2024] Open
Abstract
The Three-Toed Woodpecker Picoides tridactylus is a rare and endangered woodpecker on the Balkan Peninsula. Despite being widely distributed in Northern Europe, its distribution on the Balkan Peninsula is limited to high-altitude forest habitats, where it represents a glacial relict. Assessing the climate change impacts on its distribution can be crucial for improving the conservation and future survival of this specialist species on the Balkan Peninsula. We used species distribution modelling (SDM) to identify its potential distribution in the past (last interglacial and last glacial maximum), present, and future (2050 and 2070). Our results indicate that this species had the greatest distribution during the last glacial maximum, after which its distribution contracted to areas where suitable environment persisted (high altitudes). The largest territory of the Balkan Peninsula has an unsuitable environment for the species to inhabit, while highly suitable habitats have the smallest share in the total area of suitable habitats. All future models show a decrease in the area of suitable habitats compared with the current period, indicating that global warming has a negative effect on the distribution of the species. We recommend that conservation activities must be of greater extent to ensure the species' survival in the Balkans.
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Affiliation(s)
- Teodora Popović
- Physical Geography Department, Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Đure Jakšića 9, 11000 Belgrade, Serbia; (N.B.Ć.); (G.S.)
| | - Nina B. Ćurčić
- Physical Geography Department, Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Đure Jakšića 9, 11000 Belgrade, Serbia; (N.B.Ć.); (G.S.)
| | - Snežana Đurđić
- Department of Physical Geography, Faculty of Geography, University of Belgrade, Studentski Trg 3/III, 11000 Belgrade, Serbia;
| | - Gorica Stanojević
- Physical Geography Department, Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Đure Jakšića 9, 11000 Belgrade, Serbia; (N.B.Ć.); (G.S.)
| | - Marko Raković
- Department of Biology and Inland Waters Protection, Institute for Multidisciplinary Research, University of Belgrade, Bulevar Despota Stefana 142, 11060 Belgrade, Serbia;
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Hallman TA, Robinson WD. Supplemental structured surveys and pre-existing detection models improve fine-scale density and population estimation with opportunistic community science data. Sci Rep 2024; 14:11070. [PMID: 38745056 PMCID: PMC11094051 DOI: 10.1038/s41598-024-61582-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 05/07/2024] [Indexed: 05/16/2024] Open
Abstract
Density and population estimates aid in conservation and stakeholder communication. While free and broadly available community science data can effectively inform species distribution models, they often lack the information necessary to estimate imperfect detection and area sampled, thus limiting their use in fine-scale density modeling. We used structured distance-sampling surveys to model detection probability and calculate survey-specific detection offsets in community science models. We estimated density and population for 16 songbird species under three frameworks: (1) a fixed framework that assumes perfect detection within a specified survey radius, (2) an independent framework that calculates offsets from an independent source, and (3) a calibration framework that calculates offsets from supplemental surveys. Within the calibration framework, we examined the effects of calibration dataset size and data pooling. Estimates of density and population size were consistently biased low in the fixed framework. The independent and calibration frameworks produced reliable estimates for some species, but biased estimates for others, indicating discrepancies in detection probability between structured and community science surveys. The calibration framework produced reliable population estimates with as few as 10 calibration surveys with positive detections. Data pooling dramatically decreased bias. This study provides conservationists and managers with a cost-effective method of estimating density and population.
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Affiliation(s)
- Tyler A Hallman
- Oak Creek Lab of Biology, Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, OR, USA.
- Swiss Ornithological Institute, Seerose 1, 6204, Sempach, Switzerland.
- Department of Biology and Chemistry, Queens University of Charlotte, Charlotte, NC, USA.
- School of Environmental and Natural Sciences, Bangor University, Bangor, LL57 2DG, UK.
| | - W Douglas Robinson
- Oak Creek Lab of Biology, Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, OR, USA
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Recknagel F. Cyberinfrastructure for sourcing and processing ecological data. ECOL INFORM 2023. [DOI: 10.1016/j.ecoinf.2023.102039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Fontaine A, Simard A, Brunet N, Elliott KH. Scientific contributions of citizen science applied to rare or threatened animals. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36:e13976. [PMID: 35837961 PMCID: PMC10092489 DOI: 10.1111/cobi.13976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/12/1912] [Accepted: 07/04/2022] [Indexed: 06/15/2023]
Abstract
Citizen science is filling important monitoring gaps and thus contributing to the conservation of rare or threatened animals. However, most researchers have used peer-reviewed publications to evaluate citizen science contributions. We quantified a larger spectrum of citizen science's contributions to the monitoring of rare or threatened animals, including contributions to the peer-reviewed publications, gray literature and to conservation measures (i.e., actions taken as a direct result of citizen science monitoring). We sought to provide broad information on how results of studies of citizen science monitoring is used. We also evaluated factors associated with success of citizen science projects. We conducted a web search to find citizen science projects focusing on rare and threatened species and surveyed citizen science project managers about their contributions and factors influencing their success. The number of projects increased rapidly after 2010. Almost one-half of the citizen science projects produced at least 1 peer-reviewed publication, 64% produced at least 1 gray literature publication, and 64% resulted in at least 1 conservation measure. Conservation measures covered a wide range of actions, including management and mitigation plans, modification of threat status, identification and establishment of protected areas, habitat restoration, control of invasive species, captive breeding programs, and awareness campaigns. Longevity, data quality, and collaboration type best explained quantities of all types of scientific contributions of citizen science. We found that citizen science contributed substantially to knowledge advancement and conservation, especially when programs were long term and had rigorous data collection and management standards, and multidisciplinary or transdisciplinary collaborations.
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Affiliation(s)
- Amélie Fontaine
- Department of Natural Resource SciencesMcGill UniversitySainte‐Anne‐de‐BellevueQuebecCanada
| | - Anouk Simard
- Ministère de la forêt, de la faune et des parcsQuébecQuebecCanada
| | - Nicolas Brunet
- School of Environmental Design and Rural DevelopmentUniversity of GuelphGuelphOntarioCanada
| | - Kyle H. Elliott
- Department of Natural Resource SciencesMcGill UniversitySainte‐Anne‐de‐BellevueQuebecCanada
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Moor H, Eggers J, Fabritius H, Forsell N, Henckel L, Bradter U, Mazziotta A, Nordén J, Snäll T. Rebuilding green infrastructure in boreal production forest given future global wood demand. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14175] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Helen Moor
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Swiss Federal Research Institute WSL Birmensdorf Switzerland
| | - Jeannette Eggers
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Department of Forest Resource Management Swedish University of Agricultural Sciences Umeå Sweden
| | - Henna Fabritius
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Smart City Centre of Excellence Tallinn University of Technology Tallinn Estonia
| | - Nicklas Forsell
- International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria
| | - Laura Henckel
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- INRAE (French National Institute for Agriculture, Food, and Environment), UMR1347, Agroécologie, 21000 Dijon France
| | - Ute Bradter
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Norwegian Institute for Nature Research (NINA) Trondheim Norway
| | - Adriano Mazziotta
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Natural Resources Institute Finland (Luke) Bioeconomy and Environment, Latokartanonkaari 9 Helsinki Finland
| | - Jenni Nordén
- Norwegian Institute for Nature Research (NINA) Oslo Norway
| | - Tord Snäll
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
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Method of Construction Projects’ Classification for Habitat Assessment in Poland and the Problem of Choosing Materials Solutions. SUSTAINABILITY 2022. [DOI: 10.3390/su14074277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The planning stage plays a key role in the success of each construction project. It also pertains to projects implementedin the Natura 2000 areas that cover ca. 18% of the total land area in the EU. Permission for the realization of such a project is issued after an analysis of its environmental impact on the Natura 2000 area. An important part of the analysis undertaken as part of a habitat assessment should be the evaluation of proposed material solutions. The research has revealed that habitat assessments in Poland do not fulfill this postulation. The decision-making process is based on the legal qualification criteria, and the fundamental importance in it has a precautionary principle. Practical realization of this principle demonstrates, however, shortcomings in its methodology. The article presents the results of two research stages. In the first stage, the documentation of 292 construction projects was examined in order to prepare the principal components of a checklist. They are correlated to the legal qualification criteria. However, they are more precise and systematic. In the second stage of the research, a survey of 47 experts was performed, and the result of the research is an innovative module of the checklist for qualification of construction projects to the habitat assessment, including questions on materials solutions. The research has proved that introduction of this proposal to the checklist may improve the quality of habitat assessments, increase their trustworthiness and ensure full exploitation of the possibilities which are given by the use of uniform research methods.
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Callaghan CT, Poore AGB, Hofmann M, Roberts CJ, Pereira HM. Large-bodied birds are over-represented in unstructured citizen science data. Sci Rep 2021; 11:19073. [PMID: 34561517 PMCID: PMC8463711 DOI: 10.1038/s41598-021-98584-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 09/06/2021] [Indexed: 02/08/2023] Open
Abstract
Citizen science platforms are quickly accumulating hundreds of millions of biodiversity observations around the world annually. Quantifying and correcting for the biases in citizen science datasets remains an important first step before these data are used to address ecological questions and monitor biodiversity. One source of potential bias among datasets is the difference between those citizen science programs that have unstructured protocols and those that have semi-structured or structured protocols for submitting observations. To quantify biases in an unstructured citizen science platform, we contrasted bird observations from the unstructured iNaturalist platform with that from a semi-structured citizen science platform-eBird-for the continental United States. We tested whether four traits of species (body size, commonness, flock size, and color) predicted if a species was under- or over-represented in the unstructured dataset compared with the semi-structured dataset. We found strong evidence that large-bodied birds were over-represented in the unstructured citizen science dataset; moderate evidence that common species were over-represented in the unstructured dataset; strong evidence that species in large groups were over-represented; and no evidence that colorful species were over-represented in unstructured citizen science data. Our results suggest that biases exist in unstructured citizen science data when compared with semi-structured data, likely as a result of the detectability of a species and the inherent recording process. Importantly, in programs like iNaturalist the detectability process is two-fold-first, an individual organism needs to be detected, and second, it needs to be photographed, which is likely easier for many large-bodied species. Our results indicate that caution is warranted when using unstructured citizen science data in ecological modelling, and highlight body size as a fundamental trait that can be used as a covariate for modelling opportunistic species occurrence records, representing the detectability or identifiability in unstructured citizen science datasets. Future research in this space should continue to focus on quantifying and documenting biases in citizen science data, and expand our research by including structured citizen science data to understand how biases differ among unstructured, semi-structured, and structured citizen science platforms.
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Affiliation(s)
- Corey T Callaghan
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany.
- Ecology and Evolution Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia.
- Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany.
| | - Alistair G B Poore
- Ecology and Evolution Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Max Hofmann
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany
- Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany
| | - Christopher J Roberts
- Ecology and Evolution Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Henrique M Pereira
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany
- Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany
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Bradter U, Ozgul A, Griesser M, Layton‐Matthews K, Eggers J, Singer A, Sandercock BK, Haverkamp PJ, Snäll T. Habitat suitability models based on opportunistic citizen science data: Evaluating forecasts from alternative methods versus an individual‐based model. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Ute Bradter
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Department of Terrestrial Ecology Norwegian Institute for Nature Research Trondheim Norway
| | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| | - Michael Griesser
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| | - Kate Layton‐Matthews
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
- Norwegian Institute for Nature Research Tromsø Norway
| | - Jeannette Eggers
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
- Department of Forest Resource Management Swedish University of Agricultural Sciences Umeå Sweden
| | - Alexander Singer
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
| | - Brett K. Sandercock
- Department of Terrestrial Ecology Norwegian Institute for Nature Research Trondheim Norway
| | - Paul J. Haverkamp
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| | - Tord Snäll
- SLU Swedish Species Information Centre Swedish University of Agricultural Sciences Uppsala Sweden
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Pernat N, Kampen H, Jeschke JM, Werner D. Buzzing Homes: Using Citizen Science Data to Explore the Effects of Urbanization on Indoor Mosquito Communities. INSECTS 2021; 12:insects12050374. [PMID: 33919337 PMCID: PMC8143366 DOI: 10.3390/insects12050374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 11/16/2022]
Abstract
Urbanization has been associated with a loss of overall biodiversity and a simultaneous increase in the abundance of a few species that thrive in urban habitats, such as highly adaptable mosquito vectors. To better understand how mosquito communities differ between levels of urbanization, we analyzed mosquito samples from inside private homes submitted to the citizen science project 'Mückenatlas'. Applying two urbanization indicators based on soil sealing and human population density, we compared species composition and diversity at, and preferences towards, different urbanization levels. Species composition between groups of lowest and highest levels of urbanization differed significantly, which was presumably caused by reduced species richness and the dominance of synanthropic mosquito species in urban areas. The genus Anopheles was frequently submitted from areas with a low degree of urbanization, Aedes with a moderate degree, and Culex and Culiseta with a high degree of urbanization. Making use of citizen science data, this first study of indoor mosquito diversity in Germany demonstrated a simplification of communities with increasing urbanization. The dominance of vector-competent species in urban areas poses a potential risk of epidemics of mosquito-borne diseases that can only be contained by a permanent monitoring of mosquitoes and by acquiring a deeper knowledge about how anthropogenic activities affect vector ecology.
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Affiliation(s)
- Nadja Pernat
- Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, 15374 Müncheberg, Germany;
- Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1–3, 14195 Berlin, Germany;
- Berlin-Brandenburg Institute of Advanced Biodiversity Research, Königin-Luise-Str. 2–4, 14195 Berlin, Germany
- Correspondence:
| | - Helge Kampen
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Südufer 10, 17493 Greifswald-Insel Riems, Germany;
| | - Jonathan M. Jeschke
- Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1–3, 14195 Berlin, Germany;
- Berlin-Brandenburg Institute of Advanced Biodiversity Research, Königin-Luise-Str. 2–4, 14195 Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
| | - Doreen Werner
- Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, 15374 Müncheberg, Germany;
- Berlin-Brandenburg Institute of Advanced Biodiversity Research, Königin-Luise-Str. 2–4, 14195 Berlin, Germany
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Zhang VM, Punzalan D, Rowe L. Climate change has different predicted effects on the range shifts of two hybridizing ambush bug ( Phymata, Family Reduviidae, Order Hemiptera) species. Ecol Evol 2020; 10:12036-12048. [PMID: 33209268 PMCID: PMC7664010 DOI: 10.1002/ece3.6820] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 08/31/2020] [Accepted: 09/04/2020] [Indexed: 01/17/2023] Open
Abstract
AIM A universal attribute of species is that their distributions are limited by numerous factors that may be difficult to quantify. Furthermore, climate change-induced range shifts have been reported in many taxa, and understanding the implications of these shifts remains a priority and a challenge. Here, we use Maxent to predict current suitable habitat and to project future distributions of two closely related, parapatrically distributed Phymata species in light of anthropogenic climate change. LOCATION North America. TAXON Phymata americana Melin 1930 and Phymata pennsylvanica Handlirsch 1897, Family: Reduviidae, Order: Hemiptera. METHODS We used the maximum entropy modeling software Maxent to identify environmental variables maintaining the distribution of two Phymata species, Phymata americana and Phymata pennsylvanica. Species occurrence data were collected from museum databases, and environmental data were collected from WorldClim. Once we gathered distribution maps for both species, we created binary suitability maps of current distributions. To predict future distributions in 2050 and 2070, the same environmental variables were used, this time under four different representative concentration pathways: RCP2.6, RCP4.5, RCP6.0, and RCP8.5; as well, binary suitability maps of future distributions were also created. To visualize potential future hybridization, the degree of overlap between the two Phymata species was calculated. RESULTS The strongest predictor to P. americana ranges was the mean temperature of the warmest quarter, while precipitation of the driest month and mean temperature of the warmest quarter were strong predictors of P. pennsylvanica ranges. Future ranges for P. americana are predicted to increase northwestward at higher CO2 concentrations. Suitable ranges for P. pennsylvanica are predicted to decrease with slight fluctuations around range edges. There is an increase in overlapping ranges of the two species in all future predictions. MAIN CONCLUSIONS These evidences for different environmental requirements for P. americana and P. pennsylvanica account for their distinct ranges. Because these species are ecologically similar and can hybridize, climate change has potentially important eco-evolutionary ramifications. Overall, our results are consistent with effects of climate change that are highly variable across species, geographic regions, and over time.
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Affiliation(s)
- Vicki Mengyuan Zhang
- Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoONCanada
- Department of BiologyUniversity of TorontoMississaugaONCanada
| | - David Punzalan
- Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoONCanada
- Department of BiologyUniversity of VictoriaVictoriaBCCanada
| | - Locke Rowe
- Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoONCanada
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