Deer, people and predators: regional attitudes regarding management, conservation and coexistence in the United States
Data files
Jun 26, 2026 version files 2.92 MB
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BlosseyEtAl_AppendixS1_RegionalDeerSurvey_Questionnaire.pdf
508.79 KB
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Data_RegionalDeerPerceptions.xlsx
2.39 MB
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README.md
23.33 KB
Abstract
While human exploitation endangers many mammals around the world, absence of large predators and insufficient human exploitation has allowed some large native or introduced herbivores to thrive, particularly in Europe, North America, Australia, and New Zealand. These large herbivore populations can significantly impact environmental and human health. In the United States, highly abundant cervid populations are of particular concern, but lethal management of such species often faces significant opposition by well-organized advocacy groups representing animal rights, animal welfare, or hunting interests. Debates concerning management actions are rarely informed by preferences of local residents regarding their desired conservation or human health outcomes, and often result in stalemates or ineffective management.
We used an online questionnaire to measure perspectives of residents (N= 4830) regarding lethal deer (family Cervidae) management in four regions of the United States (Northeast, Midwest, Intermountain West, and Pacific Northwest). These regions differ in deer species, habitats, land-uses, predator assemblages, and socio-economic and political orientations.
We expected large differences in attitudes regarding deer management and predator acceptance between residents in more liberal leaning coastal regions versus residents in more conservative leaning midwestern or intermountain states. Instead, we found overwhelming support (>66%) in all regions for lethal deer management if this would protect human (reduction in Lyme disease, road safety) or environmental health (protect native plants and animals, increase forest regeneration, or help in reducing effects of climate change). In contrast, we found generally low acceptance (<30%) of predators (wolves, coyotes, cougars) to help reduce large deer populations, with a clear East-West gradient.
Ethical concerns regarding human and environmental health and safety were stronger predictors of perceptions of deer management and predator return than sociodemographic characteristics or social identities. Self-identification of respondents as animal protectionists, hunters, or conservationists had minimal effects on their acceptance of lethal deer management to reduce negative ecological or human health impacts. Similarly, we found no difference in respondents’ attitudes towards deer management or predator acceptance regardless of whether they lived in rural or urban areas.
We document large common ground regarding lethal deer management to improve ecological and human health among residents in very different regions across the northern U.S. Currently, this consensus is not sufficiently acknowledged or incorporated into decision-making processes and assessments to guide deer management, but may provide opportunities to reduce the stranglehold special interest groups currently have on deer management. A better future improving ecological and human health through lethal deer control seems socially acceptable across four different regions of the U.S.
Dataset DOI: 10.5061/dryad.cfxpnvxjr
Description of the data and file structure
We used an online questionnaire to measure perceptions of deer management and predator acceptance in four regions across the US: Pacific northwest, Intermountain west, Midwest, and Northeast. Our survey instrument was approved by the Cornell Institutional Review Board for Human Participants (IRB# 147420) and we performed all work in accordance with relevant guidelines and regulations. Qualtrics LLC (www.qualtrics.com) recruited 1,001 adults (aged 18 or older) living in the Pacific northwest (Oregon, Washington), 1,010 adults living in the intermountain west (Idaho, Montana, Wyoming), 1,011 adults living in the Midwest (Michigan, Minnesota, Wisconsin), and 602 adults living in the northeast (Connecticut, New Jersey, Pennsylvania) who answered our questionnaire online from April 21 - June 7 2023. We added a further 1,808 responses from New York state residents to the northeast sample from a similar survey conducted from June 6 - 28, 2022 (Blossey et al. 2025), bringing the total sample to 4,830 adults .
To increase external validity, we stratified our sample to approximate the population of each region in terms of age, ethnicity, and gender identity according to the most recent American Community Survey statistics. We oversampled from rural areas to permit more powerful rural-urban comparisons. Prior to participating, all respondents provided informed consent and completed a block of demographic questions to ensure they met sample quotas. Qualified participants read a short, plain-language passage describing wild deer ecology and management in the US to provide context. We randomized the order of sections and questions within each section to avoid priming effects. Using seven-point Likert-type items with the additional option of “I don’t know,” respondents reported beliefs about how acceptable it would be for land managers to allow shooting more deer if doing so would help achieve various ecological and socioeconomic objectives, and whether coyotes, cougars, or wolves would be welcome in their area in order to help manage deer. Individuals also indicated relevance of ethical concerns when responding to previous blocks using four-point ordinal scales, described their perceptions and experiences with deer using a combination of ordinal and seven-point Likert scales, and provided additional demographic and social identity (i.e., hunter, conservationist, animal protectionist) information.
Files and variables
File: BlosseyEtAl_AppendixS1_RegionalDeerSurvey_Questionnaire.pdf
Description: A PDF of the questionnaire distributed to participants through Qualtrics LLC.
File: Data_RegionalDeerPerceptions.xlsx
Description: An Excel file with all data required to replicate our analysis. Note that to run the R code for the analysis, each of the sheets should be saved as an individual CSV file, or the code altered to read sheets from an Excel file. The data is divided into five sheets:
- Survey data: responses to all survey items
- Deer data: survey data reformatted for analysis of deer management acceptance
- Wolf acceptance data: survey data reformatted for analysis of wolf acceptance
- Coyote acceptance data: survey data reformatted for analysis of coyote acceptance
- Cougar acceptance data: survey data reformatted for analysis of cougar acceptance
Survey Data (Tab 1): Columns
- Region: whether the respondent lives in the Pacific Northwest (PNW: Oregon, Washington), Intermountain west (IMW: Idaho, Montana, Wyoming), midwest (MW: Michigan, Minnesota, Wisconsin), or northeast (NE: Connecticut, New Jersey, Pennsylvania, New York)
- age.cat: respondent's age category in years (18-39, 40-54, or 55+)
- gender: respondent's gender
- latin.origin: whether respondent is of Hispanic, Latino, or Spanish origin
- race: respondent's race
- currently.live: whether the respondent currently lives in an urban or rural area
- state.residence: state where the resident lives
- shoot.local: how strongly respondent agrees that it is important that people who shoot deer are from the local area (from strongly disagree to strongly agree)
- shoot.pass.test: how strongly respondent agrees that it is important that people who shoot deer need to pass a shooting proficiency test (from strongly disagree to strongly agree)
- shoot.professional: how strongly respondent agrees that it is important that people who shoot deer are professionals and shooting deer is part of their paid occupation, not a pastime (from strongly disagree to strongly agree)
- keep.meat: how strongly respondent agrees that it would be acceptable for people who shoot deer to keep the meat (from strongly disagree to strongly agree)
- share.meat: how strongly respondent agrees that it would be acceptable for people who shoot deer to give the meat to friends and family (from strongly disagree to strongly agree)
- sell.meat: how strongly respondent agrees that it would be acceptable for people who shoot deer to sell the meat (from strongly disagree to strongly agree)
- donate.meat: how strongly respondent agrees that it would be acceptable for people who shoot deer to give the meat to people in need, such as donate it to a food bank or other charitable organization (from strongly disagree to strongly agree)
- keep.parts.use: how strongly respondent agrees that it would be acceptable for people who shoot deer to keep parts of the deer other than the meat, such as skulls, hides, or antlers to manufacture clothing or tools (from strongly disagree to strongly agree)
- keep.parts.display: how strongly respondent agrees that it would be acceptable for people who shoot deer to keep parts of the deer other than the meat, such as heads skulls, hides, or antlers for display (from strongly disagree to strongly agree)
- forests: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help forests to recover by reducing deer browse (from strongly disagree to strongly agree)
- economic.costs: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help reduce economic costs of deer eating crops (from strongly disagree to strongly agree)
- plants.gardens: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help reduce deer browse on ornamental plants and gardens (from strongly disagree to strongly agree)
- other.animals: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help allow other wild animals to thrive (from strongly disagree to strongly agree)
- plants.wild: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help allow wild plants to thrive (from strongly disagree to strongly agree)
- carbon: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help address climate change by allowing trees to grow that will store more carbon from the atmosphere (from strongly disagree to strongly agree)
- starve: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help reduce the number of deer that starve in winter (from strongly disagree to strongly agree)
- lyme: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help reduce the spread of Lyme disease to people (from strongly disagree to strongly agree)
- hunting.opporunities: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help create more hunting opportunities for people who like to shoot deer (from strongly disagree to strongly agree)
- protein: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help provide access to high-quality protein (from strongly disagree to strongly agree)
- road.safety: how strongly respondent agrees that it would be acceptable for land managers to shoot more deer if doing so would help improve road safety by reducing deer vehicle collisions (from strongly disagree to strongly agree)
- social.justice: the extent to which a respondent was thinking about social justice, such as fairness and equality among communities of their state while answering questions (from not at all relevant to very relevant)
- environmental.conservation: the extent to which a respondent was thinking about environmental conservation, such as protecting forests, climate, or biodiversity while answering questions (from not at all relevant to very relevant)
- health.safety: the extent to which a respondent was thinking about public health and safety, such as reduced disease transmission and road accidents while answering questions (from not at all relevant to very relevant)
- deer.welfare: the extent to which a respondent was thinking about welfare of deer, such as reduced suffering in deer vehicle collisions and winter starvation while answering questions (from not at all relevant to very relevant)
- nondeer.welfare: the extent to which a respondent was thinking about welfare of wild animals other than deer while answering questions (from not at all relevant to very relevant)
- enjoy.deer: how strongly respondent agrees that they enjoy knowing that wild deer live in their state (from strongly disagree to strongly agree)
- see.deer: how often respondent sees deer
- knew.killed: before taking the survey, whether respondent knew that deer were killed, for example to reduce agricultural damage or high deer populations in suburban areas
- thought.population: before taking part in this study, what did the respondent think about the number of deer in their local area (from too low to too high)
- responsibility.deer: who the respondent believes should have primary responsibility to make deer management decisions on private land
- wolves.welcome: how strongly respondents agree that they would welcome wolves in their local area (from strongly disagree to strongly agree)
- cougars.welcome: how strongly respondents agree that they would welcome cougars in their local area (from strongly disagree to strongly agree)
- coyotes.welcome: how strongly respondents agree that they would welcome coyotes in their local area (from strongly disagree to strongly agree).
- education: the highest level of formal education the respondent has completed
- grew.up: whether the respondent grew up in an urban or rural area
- hunter: how strongly respondents agree with the statement, "I think of myself as a hunter" (from strongly disagree to strongly agree)
- conservationist: how strongly respondents agree with the statement, "I think of myself as someone who supports environmental conservation" (from strongly disagree to strongly agree)
- animal.protectionist: how strongly respondents agree with the statement, "I think of myself as someone who supports animal protection and welfare" (from strongly disagree to strongly agree)
- trust.government: how much of the time does the respondent trust their local or state government to make the right decisions (from never to always)
- land.owned: how much land the respondent owns
Deer Data (Tab 2): Columns
- Region: whether the respondent lives in the Pacific Northwest (PNW: Oregon, Washington), Intermountain west (IMW: Idaho, Montana, Wyoming), midwest (MW: Michigan, Minnesota, Wisconsin), or northeast (NE: Connecticut, New Jersey, Pennsylvania, New York)
- Deer.Score: a composite value for the respondent's answer to items on the acceptability of shooting more deer (see forests through road.safety in "Survey data" tab). Likert values were converted to numeric values (i.e., strongly disagree = 1, strongly agree = 7), with "I don't know" answers excluded, and averaged for each respondent.
- age.cat: respondent's age category in years (18-39, 40-54, or 55+)
- gender: respondent's gender
- latin.origin: whether respondent is of Hispanic, Latino, or Spanish origin
- currently.live: whether the respondent currently lives in an urban or rural area
- state.residence: state where the resident lives
- social.justice: the extent to which a respondent was thinking about social justice, such as fairness and equality among communities of their state while answering questions (from not at all relevant to very relevant)
- environmental.conservation: the extent to which a respondent was thinking about environmental conservation, such as protecting forests, climate, or biodiversity while answering questions (from not at all relevant to very relevant)
- health.safety: the extent to which a respondent was thinking about public health and safety, such as reduced disease transmission and road accidents while answering questions (from not at all relevant to very relevant)
- deer.welfare: the extent to which a respondent was thinking about welfare of deer, such as reduced suffering in deer vehicle collisions and winter starvation while answering questions (from not at all relevant to very relevant)
- nondeer.welfare: the extent to which a respondent was thinking about welfare of wild animals other than deer while answering questions (from not at all relevant to very relevant)
- see.deer: how often respondent sees deer
- education: the highest level of formal education the respondent has completed
- grew.up: whether the respondent grew up in an urban or rural area
- hunter: how strongly respondents agree with the statement, "I think of myself as a hunter" (from strongly disagree to strongly agree)
- conservationist: how strongly respondents agree with the statement, "I think of myself as someone who supports environmental conservation" (from strongly disagree to strongly agree)
- animal.protectionist: how strongly respondents agree with the statement, "I think of myself as someone who supports animal protection and welfare" (from strongly disagree to strongly agree)
- trust.government: how much of the time does the respondent trust their local or state government to make the right decisions (from never to always)
- land.owned: how much land the respondent owns
Wolf acceptance Data (Tab 3): Columns
- Region: whether the respondent lives in the Pacific Northwest (PNW: Oregon, Washington), Intermountain west (IMW: Idaho, Montana, Wyoming), midwest (MW: Michigan, Minnesota, Wisconsin), or northeast (NE: Connecticut, New Jersey, Pennsylvania, New York)
- wolves.welcome: how strongly respondents agree that they would welcome wolves in their local area (from strongly disagree to strongly agree)
- age.cat: respondent's age category in years (18-39, 40-54, or 55+)
- gender: respondent's gender
- latin.origin: whether respondent is of Hispanic, Latino, or Spanish origin
- currently.live: whether the respondent currently lives in an urban or rural area
- state.residence: state where the resident lives
- social.justice: the extent to which a respondent was thinking about social justice, such as fairness and equality among communities of their state while answering questions (from not at all relevant to very relevant)
- environmental.conservation: the extent to which a respondent was thinking about environmental conservation, such as protecting forests, climate, or biodiversity while answering questions (from not at all relevant to very relevant)
- health.safety: the extent to which a respondent was thinking about public health and safety, such as reduced disease transmission and road accidents while answering questions (from not at all relevant to very relevant)
- deer.welfare: the extent to which a respondent was thinking about welfare of deer, such as reduced suffering in deer vehicle collisions and winter starvation while answering questions (from not at all relevant to very relevant)
- nondeer.welfare: the extent to which a respondent was thinking about welfare of wild animals other than deer while answering questions (from not at all relevant to very relevant)
- see.deer: how often respondent sees deer
- education: the highest level of formal education the respondent has completed
- grew.up: whether the respondent grew up in an urban or rural area
- hunter: how strongly respondents agree with the statement, "I think of myself as a hunter" (from strongly disagree to strongly agree)
- conservationist: how strongly respondents agree with the statement, "I think of myself as someone who supports environmental conservation" (from strongly disagree to strongly agree)
- animal.protectionist: how strongly respondents agree with the statement, "I think of myself as someone who supports animal protection and welfare" (from strongly disagree to strongly agree)
- trust.government: how much of the time does the respondent trust their local or state government to make the right decisions (from never to always)
- land.owned: how much land the respondent owns
Coyote acceptance Data (Tab 4): Columns
- Region: whether the respondent lives in the Pacific Northwest (PNW: Oregon, Washington), Intermountain west (IMW: Idaho, Montana, Wyoming), midwest (MW: Michigan, Minnesota, Wisconsin), or northeast (NE: Connecticut, New Jersey, Pennsylvania, New York)
- coyotes.welcome: how strongly respondents agree that they would welcome coyotes in their local area (from strongly disagree to strongly agree)
- age.cat: respondent's age category in years (18-39, 40-54, or 55+)
- gender: respondent's gender
- latin.origin: whether respondent is of Hispanic, Latino, or Spanish origin
- currently.live: whether the respondent currently lives in an urban or rural area
- state.residence: state where the resident lives
- social.justice: the extent to which a respondent was thinking about social justice, such as fairness and equality among communities of their state while answering questions (from not at all relevant to very relevant)
- environmental.conservation: the extent to which a respondent was thinking about environmental conservation, such as protecting forests, climate, or biodiversity while answering questions (from not at all relevant to very relevant)
- health.safety: the extent to which a respondent was thinking about public health and safety, such as reduced disease transmission and road accidents while answering questions (from not at all relevant to very relevant)
- deer.welfare: the extent to which a respondent was thinking about welfare of deer, such as reduced suffering in deer vehicle collisions and winter starvation while answering questions (from not at all relevant to very relevant)
- nondeer.welfare: the extent to which a respondent was thinking about welfare of wild animals other than deer while answering questions (from not at all relevant to very relevant)
- see.deer: how often respondent sees deer
- education: the highest level of formal education the respondent has completed
- grew.up: whether the respondent grew up in an urban or rural area
- hunter: how strongly respondents agree with the statement, "I think of myself as a hunter" (from strongly disagree to strongly agree)
- conservationist: how strongly respondents agree with the statement, "I think of myself as someone who supports environmental conservation" (from strongly disagree to strongly agree)
- animal.protectionist: how strongly respondents agree with the statement, "I think of myself as someone who supports animal protection and welfare" (from strongly disagree to strongly agree)
- trust.government: how much of the time does the respondent trust their local or state government to make the right decisions (from never to always)
- land.owned: how much land the respondent owns
Cougar acceptance Data (Tab 5): Columns
- Region: whether the respondent lives in the Pacific Northwest (PNW: Oregon, Washington), Intermountain west (IMW: Idaho, Montana, Wyoming), midwest (MW: Michigan, Minnesota, Wisconsin), or northeast (NE: Connecticut, New Jersey, Pennsylvania, New York)
- cougars.welcome: how strongly respondents agree that they would welcome cougars in their local area (from strongly disagree to strongly agree)
- age.cat: respondent's age category in years (18-39, 40-54, or 55+)
- gender: respondent's gender
- latin.origin: whether respondent is of Hispanic, Latino, or Spanish origin
- currently.live: whether the respondent currently lives in an urban or rural area
- state.residence: state where the resident lives
- social.justice: the extent to which a respondent was thinking about social justice, such as fairness and equality among communities of their state while answering questions (from not at all relevant to very relevant)
- environmental.conservation: the extent to which a respondent was thinking about environmental conservation, such as protecting forests, climate, or biodiversity while answering questions (from not at all relevant to very relevant)
- health.safety: the extent to which a respondent was thinking about public health and safety, such as reduced disease transmission and road accidents while answering questions (from not at all relevant to very relevant)
- deer.welfare: the extent to which a respondent was thinking about welfare of deer, such as reduced suffering in deer vehicle collisions and winter starvation while answering questions (from not at all relevant to very relevant)
- nondeer.welfare: the extent to which a respondent was thinking about welfare of wild animals other than deer while answering questions (from not at all relevant to very relevant)
- see.deer: how often respondent sees deer
- education: the highest level of formal education the respondent has completed
- grew.up: whether the respondent grew up in an urban or rural area
- hunter: how strongly respondents agree with the statement, "I think of myself as a hunter" (from strongly disagree to strongly agree)
- conservationist: how strongly respondents agree with the statement, "I think of myself as someone who supports environmental conservation" (from strongly disagree to strongly agree)
- animal.protectionist: how strongly respondents agree with the statement, "I think of myself as someone who supports animal protection and welfare" (from strongly disagree to strongly agree)
- trust.government: how much of the time does the respondent trust their local or state government to make the right decisions (from never to always)
- land.owned: how much land the respondent owns
Human subjects data
Our survey instrument was approved by the Cornell Institutional Review Board for Human Participants (IRB# 147420) and we performed all work in accordance with relevant guidelines and regulations. Participants provided explicit consent to publish the de-identified data in the public domain. The data does not include any direct identifiers, but does include indirect identifiers of gender, age, and race. To de-identify the data, we aggregated age into three categories.
