100+ datasets found
  1. o

    Trends in Illegal Wildlife Trade

    • openicpsr.org
    Updated Dec 11, 2019
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    Rosemary Hitchens; April Blakeslee (2019). Trends in Illegal Wildlife Trade [Dataset]. http://doi.org/10.3886/E116621V1
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    Dataset updated
    Dec 11, 2019
    Dataset provided by
    Miami University
    East Carolina University
    Authors
    Rosemary Hitchens; April Blakeslee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1996 - 2016
    Area covered
    Pacific Northwest, Global
    Description

    The illegal import of wildlife and wildlife products is a growing concern, and the U.S. is one of the world’s leading countries in the consumption and transit of illegal wildlife and their derivatives. Yet, few U.S. studies have analyzed the illegal wildlife trade (IWT) on a national or local scale. Moreover, few studies have examined the trends associated with IWT moving through personal baggage. This work aimed to better understand the magnitude of illegal wildlife importation into U.S. ports of entry by determining trends associated with illegal wildlife products from personal baggage seizures in the Pacific Northwest (PNW). To identify the most influential factors in determining the numbers and types of personal baggage seizures into PNW, we analyzed 1,731 records between 1999 and 2016 from the Fish and Wildlife Service’s (FWS) Law Enforcement Management Information System (LEMIS) database. We found five significant contributors: taxonomic Class of wildlife, categorical import date, wildlife product, source region, and the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) status. While wildlife seizures across taxonomic categories have decreased in the PNW since 2008, other findings provide a reason for concern. Three main findings of this study include: (1) mammals make up the majority of seizures (2) temporal trends of wildlife seizures point to increases in seizures in many taxonomic groupings and (3) the majority of seizures originate from six regions, of which East Asia is the largest source. This work adds to the growing understanding of IWT through large-scale geographical seizure data using a highly important global port as our case study.

  2. R

    Animals Dataset Dataset

    • universe.roboflow.com
    zip
    Updated Aug 4, 2023
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    Telkom University (2023). Animals Dataset Dataset [Dataset]. https://universe.roboflow.com/telkom-university-riwtp/animals-dataset-mi6gl
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    zipAvailable download formats
    Dataset updated
    Aug 4, 2023
    Dataset authored and provided by
    Telkom University
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Animal Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Wildlife Conservation: Researchers and wildlife conservationists can use this model to automatically identify and count various animal species in wildlife surveillance images or videos, helping in population tracking and habitat studies.

    2. Smart Farming: The model can be integrated within innovative farming technologies to monitor livestock, identifying each animal and aiding farmers in managing their stock more efficiently.

    3. Animal Behavior Study: Researchers can use this tool to analyze animal interactions and behavior patterns in both captivity and the wild by identifying different animal species in video footages.

    4. Automated Hunting Management: The tool can be used to manage hunting activities by identifying the type and quantity of animals in a given area, supporting sustainable hunting practices.

    5. Pet Identification: In residential and urban contexts, the computer vision model could be used in surveillance systems to recognize pet behavior, identify lost pets, or prevent animal-related mishaps by identifying animals in restricted areas.

  3. a

    Fish and Wildlife Observation

    • catalog.epscor.alaska.edu
    Updated Dec 17, 2019
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    (2019). Fish and Wildlife Observation [Dataset]. https://catalog.epscor.alaska.edu/dataset/fish-and-wildlife-observation
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    Dataset updated
    Dec 17, 2019
    Description

    The Fish and Wildlife Observation feature class represents observations of aquatic and terrestrial animals made by sight, sound, and other detection methods. It includes locations where animals were found. It does not include surveyed places where the animal was looked for and not found. Data originated primarily from the NRIS Wildlife and Aquatic Surveys applications. The feature class includes the observation location on land or water and the attributes defined in this document. Please note that all listed status fields are dependent on FS units having entered status information into the NRIS TAXA application. A null value does not necessarily indicate an unlisted status.

  4. R

    Animals Dataset

    • universe.roboflow.com
    zip
    Updated Jun 18, 2023
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    Graduation (2023). Animals Dataset [Dataset]. https://universe.roboflow.com/graduation-nnzal/animals-kapzz
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    zipAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset authored and provided by
    Graduation
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Elephant Giraffe Impala Lechwe Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Wildlife Conservation and Monitoring: The "Animals" model can be used by wildlife researchers and conservationists to monitor the population and distribution of these specific animal species (Elephant, Giraffe, Impala, Lechwe, Tsessebe, Zebra) in their natural habitats. By analyzing aerial images captured by drones or satellites, experts can estimate population sizes, track migration patterns, and identify potential threats to these animals such as poaching, habitat degradation, or other human activities.

    2. Eco-Tourism Planning and Management: Companies and organizations involved in eco-tourism can use the "Animals" model to identify the presence and frequency of the specific animal species in different geographical areas. This information can help them select suitable locations or safari routes for tourists to optimize wildlife sightings and provide a fulfilling experience while ensuring minimal disturbance to the animals and their habitats.

    3. Wildlife Documentary and Media Content: Filmmakers and journalists focusing on wildlife topics can use the "Animals" model to locate these particular species in aerial images, saving time and resources when scouting for filming locations or collecting visual materials. This will enable them to produce more targeted content about these specific animals and their environments.

    4. Wildlife Corridor Planning: Government agencies, NGOs, and conservation organizations can utilize the "Animals" model to monitor and analyze the movement patterns of these particular animal species, which can be crucial for facilitating the creation or maintenance of wildlife corridors. By identifying the areas where these animals are found, they can create better-informed policies and strategies that enable animals to safely move between habitats, ensuring their genetic diversity and long-term survival.

    5. Educational Purposes: The "Animals" model can be used as an educational tool for students, researchers, and nature enthusiasts to learn more about these specific animals and their habitats. By providing accurate information about where the animals are found and how they interact with their environment, users can gain a better understanding of their natural history, ecology, and conservation status.

  5. Data from: COA Wildlife Conservation List

    • gbif.org
    • commons.datacite.org
    Updated Sep 6, 2022
    + more versions
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    Kwang-Tsao Shao; Kwang-Tsao Shao (2022). COA Wildlife Conservation List [Dataset]. http://doi.org/10.15468/z9pgvq
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    Dataset updated
    Sep 6, 2022
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Taiwan Biodiversity Information Facility (TaiBIF)
    Authors
    Kwang-Tsao Shao; Kwang-Tsao Shao
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Asia
    Description

    Taiwan's unique geographical location and varied topography resulted in diverse fauna on this beautiful island. However, excessive land development and resource utilization have incessantly squeezed the space for the survival of wildlife. Wildlife conservation is not just a simple act of protection, it warrants reasonable and sustainable use of natural resources.

    The Wildlife Conservation Act, enacted by Council of Agriculture (COA), Executive Yuan, is an important legal basis for wildlife management and habitat protection. Its purpose is to maintain species diversity and ecological balance. The government and related conservation organizations have designated 17 wildlife refuges. Not only are they the subject of academic researches, they are also the indicators of environmental quality. The checklist of Taiwan (TaiBNET) lists 293 endangered, rare, and other protected species of wildlife in Taiwan. The database also provides information on these species, such as their scientific names (including authors and years), common names, and synonyms. Through Taiwan Biodiversity Information Facility (TaiBIF), the information can be shared and exchanged with other GBIF participants. Users can use keywords to link to other websites with relevant information. All these efforts will result in the circulation of information in the fields of research, education and conservation, which in turn will arouse global attention to the protection of wildlife.

  6. 2018 Wildlife Road Counts Makame Wildlife Management Area: Animal Sighting...

    • data.usaid.gov
    application/rdfxml +5
    Updated Mar 13, 2020
    + more versions
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    The Nature Conservancy (2020). 2018 Wildlife Road Counts Makame Wildlife Management Area: Animal Sighting Data [Dataset]. https://data.usaid.gov/Environment/2018-Wildlife-Road-Counts-Makame-Wildlife-Manageme/prkc-mxtb
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    application/rdfxml, xml, json, tsv, csv, application/rssxmlAvailable download formats
    Dataset updated
    Mar 13, 2020
    Dataset authored and provided by
    The Nature Conservancyhttp://www.nature.org/
    License

    Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
    License information was derived automatically

    Description

    These are the results of ground counts done in January 2018 in Makame Wildlife Management Area, the primary data is species sighted and number seen. It also includes GPS points of the sighting as well as habitat identification. Data was collected on the S14, S15, S16, S17, and S18 transects as traditionally used by Wildlife Conservation Society in the landscape as part of the Endangered Ecosystems Northern Tanzania project. This was a dry season count and may not be reflective of data one would obtain during the wet season.

  7. National Wildlife Refuges

    • hub.arcgis.com
    • colorado-river-portal.usgs.gov
    • +5more
    Updated Jul 15, 2020
    + more versions
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    Esri U.S. Federal Datasets (2020). National Wildlife Refuges [Dataset]. https://hub.arcgis.com/maps/fedmaps::national-wildlife-refuges-1
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    Dataset updated
    Jul 15, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    National Wildlife RefugesThis U.S. Fish and Wildlife Service (FWS) feature layer depicts National Wildlife Refuges. These Refuges display external boundary of lands and waters administered by FWS. According to FWS, "Each unit of the Refuge System — whether it is a wildlife refuge, a marine national monument, a conservation area or a waterfowl production area — is established to serve a statutory purpose that targets the conservation of native species dependent on its lands and water. All activities on those acres are reviewed for compatibility with this statutory purpose."Patuxent Research RefugeData currency: current Federal service (National Wildlife Refuge System Boundaries)Data modification(s): NoneFor more information: National Wildlife Refuge SystemFor feedback please contact: ArcGIScomNationalMaps@esri.comFish and Wildlife Service (FWS)Per FWS, " The U.S. Fish and Wildlife Service is the premier government agency dedicated to the conservation, protection, and enhancement of fish, wildlife and plants, and their habitats. We are the only agency in the federal government whose primary responsibility is the conservation and management of these important natural resources for the American public."

  8. Endangered wildlife and plant species in the U.S. 2023

    • statista.com
    Updated Jul 21, 2023
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    Statista (2023). Endangered wildlife and plant species in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/204735/endangered-wildlife-and-plant-species-in-the-us/
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    Dataset updated
    Jul 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of July 21, 2023, there were 76 insect species in the United States in danger of becoming extinct throughout all or a significant part of their natural range. Many animals native to the U.S. share this fate, but plants are the most affected with 766 species on the endangered list as of July 21, 2023.

  9. w

    Fish and Wildlife Habitats

    • gis.westchestergov.com
    • hub.arcgis.com
    Updated Apr 6, 2020
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    Westchester County GIS (2020). Fish and Wildlife Habitats [Dataset]. https://gis.westchestergov.com/maps/fish-and-wildlife-habitats
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    Dataset updated
    Apr 6, 2020
    Dataset authored and provided by
    Westchester County GIS
    Area covered
    Description

    Dataset consist of statutory boundaries of Significant Coastal Fish and Wildlife Habitats (SCFWH) as identified and recommended by Environmental Conservation and designated by Department of State. All SCFWH areas are found within the federally approved Coastal Area Boundary (CAB) of New York State. Original data was hand-drawn over DOT topographic quadrangle sections and filed with local governments. Digital data set (version 1.1) was previewed by NYS DEC Habitat Inventory Unit and subsequently corrected as per their recommendations. The original digital version of the SCFWHs, Version 1.2, has been replaced with this current version 2.0. Version 2.0 includes changes/updates to the Peconic estuary (2002), north shore of Long Island (2005), the south shore of Long Island (2008), and the Hudson River (2012). Scale: 1:24000. Data was last revised by the NYS Clearinghouse Office of Planning and Development August, 2013. The data was downloaded from the New York State GIS Clearinghouse September 2015.

  10. Data from: National Wildlife Area

    • open.canada.ca
    • data.ontario.ca
    • +2more
    docx, esri rest, html +2
    Updated Mar 27, 2024
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    Government of Ontario (2024). National Wildlife Area [Dataset]. https://open.canada.ca/data/en/dataset/f53b8227-9c12-4186-ab58-ad2cbf69953d
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    docx, zip, html, pdf, esri restAvailable download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    National Wildlife Areas are lands designated by Order-in-Council under the Canada Wildlife Act (1973). Most are on Crown Lands and are dedicated to providing or enhancing habitat for waterfowl, upland game birds, or game mammals. Instructions for downloading this dataset: * select the link below and scroll down the metadata record page until you find Transfer Options in the Distribution Information section * select the link beside the Data for download label * you must provide your name, organization and email address in order to access the dataset This product requires the use of GIS software. *[GIS]: geographic information system

  11. Movebank: Animal Tracking

    • kaggle.com
    zip
    Updated Jan 9, 2017
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    PULKIT KHANDELWAL (2017). Movebank: Animal Tracking [Dataset]. https://www.kaggle.com/datasets/pulkit8595/movebank-animal-tracking
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    zip(2368211 bytes)Available download formats
    Dataset updated
    Jan 9, 2017
    Authors
    PULKIT KHANDELWAL
    Description

    Context

    Movebank is a free, online database of animal tracking data hosted by the Max Planck Institute for Ornithology. It is designed to help animal tracking researchers to manage, share, protect, analyze, and archive their data. Movebank is an international project with over 11,000 users, including people from research and conservation groups around the world. The animal tracking data accessible through Movebank belongs to researchers all over the world. These researchers can choose to make part or all of their study information and animal tracks visible to other registered users, or to the public.

    Animal tracking

    Animal tracking data helps us understand how individuals and populations move within local areas, migrate across oceans and continents, and evolve through millennia. This information is being used to address environmental challenges such as climate and land use change, biodiversity loss, invasive species, and the spread of infectious diseases. Read more.

  12. s

    Data from: Conservation by Communities of the Tonda Wildlife Management Area...

    • png-data.sprep.org
    • pacific-data.sprep.org
    pdf
    Updated Feb 15, 2022
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    PAul Chatterton (2022). Conservation by Communities of the Tonda Wildlife Management Area [Dataset]. https://png-data.sprep.org/dataset/conservation-communities-tonda-wildlife-management-area
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    pdf(62739)Available download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    PNG Conservation and Environment Protection Authority
    Authors
    PAul Chatterton
    License

    https://pacific-data.sprep.org/resource/public-data-license-agreement-0https://pacific-data.sprep.org/resource/public-data-license-agreement-0

    Area covered
    Papua New Guinea, -204.20425415039 -11.30905433769)), -219.23355102539 -1.0120628453118, -204.20425415039 -1.0120628453118, POLYGON ((-219.23355102539 -11.30905433769
    Description

    Tonda Wildlife Management Area on the southern extremity of Papua New Guinea’s border with Indonesia is PNG’s largest and oldest conservation area and its only Ramsar site. For over 20 years it has been managed by a committee of indigenous leaders drawn from 20 village communities. While this group has provided strong local level protection of land, lack of support to the committee has meant that the full potential of community management has not been realised. Furthermore threats on a regional and international scale cannot be easily dealt with by current community institutions.

  13. a

    Nuisance Wildlife Management

    • cincinnati.aaacwildliferemoval.com
    Updated Aug 12, 2022
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    AAAC Wildlife Removal of Cincinnati (2022). Nuisance Wildlife Management [Dataset]. https://cincinnati.aaacwildliferemoval.com/
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    Dataset updated
    Aug 12, 2022
    Dataset authored and provided by
    AAAC Wildlife Removal of Cincinnati
    License

    http://news-round.com/news/feed/4033308427-wildlife-removal-cincinnati.htmlhttp://news-round.com/news/feed/4033308427-wildlife-removal-cincinnati.html

    Description

    Nuisance Wildlife Management company performing our Wildlife Removal services for customers in Cincinnati, Ohio.

  14. DCP ESA Listed Terrestrial Wildlife Species California Wildlife Habitat...

    • data.ca.gov
    • data.cnra.ca.gov
    • +2more
    zip
    Updated Feb 24, 2020
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    California Department of Water Resources (2020). DCP ESA Listed Terrestrial Wildlife Species California Wildlife Habitat Relationships [Dataset]. https://data.ca.gov/dataset/dcp-esa-listed-terrestrial-wildlife-species-california-wildlife-habitat-relationships
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    zipAvailable download formats
    Dataset updated
    Feb 24, 2020
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    License

    http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by

    Area covered
    California
    Description

    The DCP ESA Listed Terrestrial Wildlife Species California Wildlife Habitat Relationships Study is one of many relicensing documents for the Devil Canyon Project (DCP) Hydropower Project Number 14797. The California Department of Water Resources applied to the Federal Energy Regulatory Commission for a new license of the DCP Project located in San Bernardino County, California along the East Branch of the State Water Project (SWP). The SWP provides southern California with many benefits, including an affordable water supply, reliable regional clean energy, opportunities to integrate green energy, accessible public recreation opportunities, and environmental benefits.

  15. a

    Wildlife Habitat Features - WSI Incidentals

    • hub.arcgis.com
    Updated May 17, 2019
    + more versions
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    B.C.'s Map Hub (2019). Wildlife Habitat Features - WSI Incidentals [Dataset]. https://hub.arcgis.com/maps/dcf8217c0ba94fed9f5a57cac326163f
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    Dataset updated
    May 17, 2019
    Dataset authored and provided by
    B.C.'s Map Hub
    Area covered
    Description

    Purpose: The dataset was created to provide better information for wildlife management, the protection of biodiversity. The intent on having a central repository for inventory data is to facilitate the storage and access of inventory results needed to make informed management decisions.Notes: A wildlife feature observation is a record of a detection of a wildlife habitat feature (e.g. nest, or wildlife tree). An observation is made when a surveyor makes a visit to a Design Component on a specific date at a specific time. Each observation may be geo-referenced in itself or simply by association with a specific Design Component. Observations are recorded on the Incidental form, and may include information on species, sex, age class, activity, and/or measurements, depending on whether the animal is in-hand or roaming freeWMS GetCapabilities URL: DataBC also offers access to this data in OGC WMS format. WMS is useful when the map author does not require custom popups, styling, or analytic capabilities for the layer. ArcGIS Online authors may want to use WMS, instead of this ArcGIS Server layer, in the following scenarios: Where they want to use existing Data Custodian approved styling, and/or They only need simple identify and map rendering functionality.Copy the: WMS GetCapabilities URL to add this web item to an ArcGIS Online Map or Scene Viewer. In some cases, multiple Styles are listed in the GetCapabilities and can be added as WMS Custom parameters. For more information on how to use a WMS layer see - ESRI's OGC ArcGIS Online HelpBC Data Catalogue Metadata URL: https://catalogue.data.gov.bc.ca/dataset/50dc6ba5-8883-4bfc-b3aa-b420b190b45b

  16. o

    Wildlife values area

    • data.ontario.ca
    • catalogue.arctic-sdi.org
    • +2more
    Updated Sep 9, 2022
    + more versions
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    (2022). Wildlife values area [Dataset]. https://data.ontario.ca/dataset/wildlife-values-area
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    (None)Available download formats
    Dataset updated
    Sep 9, 2022
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Ontario
    Description

    The wildlife values area and site datasets represent the consolidation of 13 wildlife data classes collected by the Ministry of Natural Resources and Forestry. The data estimates locations used by wildlife for various reasons, including:

    • breeding
    • calving and fawning
    • denning
    • feeding
    • staging
    • nesting
    • wintering
    • general habitat areas
    • nurseries
    • travel corridors

    Locations are represented as points (site) or polygons (area) and may be related to a specific species or described more generally.

    Wildlife values data is most often used to support policy and legislation associated with the Crown Forest Sustainability Act. The data may also be used to inform a wide range of resource management activities and decisions.

    There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting lio@ontario.ca.

  17. Wildlife Movement Barriers - CDFW [ds2867]

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Mar 8, 2023
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    California Department of Fish and Wildlife (2023). Wildlife Movement Barriers - CDFW [ds2867] [Dataset]. https://data.cnra.ca.gov/dataset/wildlife-movement-barriers-cdfw-ds2867
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    arcgis geoservices rest api, html, zip, geojson, csv, kmlAvailable download formats
    Dataset updated
    Mar 8, 2023
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by

    Description

    This dataset represents CDFWs ongoing effort to identify priority wildlife movement barriers across the state. Currently, increasing attention is being directed toward wildlife habitat connectivity as a mechanism of maintaining biodiversity in the face of population growth and climate change. Listing priority wildlife barrier locations will help focus limited financial resources where the highest need has been identified to improve wildlife movement. This is complementary to CDFW''s fish passage barrier priorities that have been identified for anadromous fish. Like the fish passage priorities, the wildlife barrier priorities list will be periodically updated to reflect new information and barrier removal successes.CDFW divides the state into six administrative Regions. CDFW staff in each Region identified linear segments of infrastructure that currently present barriers to wildlife populations in their jurisdiction. In doing so, the Regions used all available empirical information in their possession, including existing connectivity and road crossing studies, collared-animal movement data, roadkill observations, and professional expertise. This dataset represents all barriers identified statewide as of May 2022 and former barriers that have been remediated since 2020. Most of the barriers identified are highway segments, but other infrastructure types such as fencing, canals, local roads, and high speed rail alignments are also represented.Additional information can be found in this report: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=204648.

  18. d

    The Atlas of Early Modern Wildlife - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 24, 2023
    + more versions
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    (2023). The Atlas of Early Modern Wildlife - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/a065a9bf-b6db-51c6-b43f-8836698aee89
    Explore at:
    Dataset updated
    Oct 24, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This file is the basis of The Atlas of Early Modern Wildlife (Pelagic Publishing, 2023). It includes thousands of historical records of wildlife from Britain and Ireland. The records have been extracted from over 200 primary texts (mostly books) written between the year 1519 CE and the year 1772 CE. This version of the database includes a single table with over 8,000 rows. Each row provides all the locations where a single species was listed in a single source, so that for example one record lists that the Swordfish (Xiphias gladius) was recorded as present on Shetland in an early modern source called Atlas Maior, and another record labelled lists that the Gannet (Morus bassanus) was recorded as present on both Godrevy Island and Bass Rock in the Itineraries of John Ray. Identifying species and locations in older texts is complicated and where the record is uncertain, this is indicated by adding ?s in the "Present?" field.Finding all these records required years of work. If you are a researcher and find additional sources here, please cite this database or the parent publication (which includes in-depth analysis and historical distribution maps) - see link at bottom of page: Raye, L. (2023) The Atlas of Early Modern Wildlife, Exeter, Pelagic Publishing.

  19. d

    Wildlife management memoradum: Utilization of wildlife resources.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    Updated May 19, 2018
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    (2018). Wildlife management memoradum: Utilization of wildlife resources. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/dd4d54b0151044c4975cc3548944973a/html
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    Dataset updated
    May 19, 2018
    Description

    description: Outlines the interview technique designed to determine harvest of wildlife resources by subsistence and native hunters. Collections of birds, eggs, mammals, etc. Provides the protocol to be used. Attempts to estimate the number of hunters and their harvest of wildlife resources.; abstract: Outlines the interview technique designed to determine harvest of wildlife resources by subsistence and native hunters. Collections of birds, eggs, mammals, etc. Provides the protocol to be used. Attempts to estimate the number of hunters and their harvest of wildlife resources.

  20. Wildlife Movement Barrier Priorities - CDFW - 2022 [ds3025]

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Mar 8, 2023
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    California Department of Fish and Wildlife (2023). Wildlife Movement Barrier Priorities - CDFW - 2022 [ds3025] [Dataset]. https://data.cnra.ca.gov/dataset/wildlife-movement-barrier-priorities-cdfw-2022-ds3025
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    html, zip, geojson, arcgis geoservices rest api, kml, csvAvailable download formats
    Dataset updated
    Mar 8, 2023
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by

    Description

    CDFW divides the state into six administrative Regions. CDFW staff in each Region identified linear segments of infrastructure that currently present barriers to wildlife populations in their jurisdiction. In doing so, the Regions used all available empirical information in their possession, including existing connectivity and road crossing studies, collared-animal movement data, roadkill observations, and professional expertise. This dataset represents the ten highest priority barriers identified in each Region and the twelve top priority barriers statewide. This dataset represents CDFWs ongoing effort to identify priority wildlife movement barriers across the state. Currently, increasing attention is being directed toward wildlife habitat connectivity as a mechanism of maintaining biodiversity in the face of population growth and climate change. Listing priority wildlife barrier locations will help focus limited financial resources where the highest need has been identified to improve wildlife movement. This is complementary to CDFW''s fish passage barrier priorities that have been identified for anadromous fish. Like the fish passage priorities, the wildlife barrier priorities list will be periodically updated to reflect new information and barrier removal successes.Most of the barriers identified are highway segments, but the list also includes a local road and two high speed rail alignments.Additional information can be found in this report: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=204648. Wildlife Movement Barriers - CDFW [ds2867] represents a comprehensive dataset of all barriers identified to date, including those which have been remediated since 2020.

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Rosemary Hitchens; April Blakeslee (2019). Trends in Illegal Wildlife Trade [Dataset]. http://doi.org/10.3886/E116621V1

Trends in Illegal Wildlife Trade

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37 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 11, 2019
Dataset provided by
Miami University
East Carolina University
Authors
Rosemary Hitchens; April Blakeslee
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
1996 - 2016
Area covered
Pacific Northwest, Global
Description

The illegal import of wildlife and wildlife products is a growing concern, and the U.S. is one of the world’s leading countries in the consumption and transit of illegal wildlife and their derivatives. Yet, few U.S. studies have analyzed the illegal wildlife trade (IWT) on a national or local scale. Moreover, few studies have examined the trends associated with IWT moving through personal baggage. This work aimed to better understand the magnitude of illegal wildlife importation into U.S. ports of entry by determining trends associated with illegal wildlife products from personal baggage seizures in the Pacific Northwest (PNW). To identify the most influential factors in determining the numbers and types of personal baggage seizures into PNW, we analyzed 1,731 records between 1999 and 2016 from the Fish and Wildlife Service’s (FWS) Law Enforcement Management Information System (LEMIS) database. We found five significant contributors: taxonomic Class of wildlife, categorical import date, wildlife product, source region, and the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) status. While wildlife seizures across taxonomic categories have decreased in the PNW since 2008, other findings provide a reason for concern. Three main findings of this study include: (1) mammals make up the majority of seizures (2) temporal trends of wildlife seizures point to increases in seizures in many taxonomic groupings and (3) the majority of seizures originate from six regions, of which East Asia is the largest source. This work adds to the growing understanding of IWT through large-scale geographical seizure data using a highly important global port as our case study.

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