The Species of Greatest Conservation Need National Database is an aggregation of lists from State Wildlife Action Plans. Species of Greatest Conservation Need (SGCN) are wildlife species that need conservation attention as listed in action plans. In this database, we have validated scientific names from original documents against taxonomic authorities to increase consistency among names enabling aggregation and summary. This database does not replace the information contained in the original State Wildlife Action Plans. The database includes SGCN lists from 56 states, territories, and districts, encompassing action plans spanning from 2005 to 2022. State Wildlife Action Plans undergo updates at least once every 10 years by respective wildlife agencies. The SGCN list data from these action plans have been compiled in partnership with individual wildlife management agencies, the United States Fish and Wildlife Service, and the Association of Fish and Wildlife Agencies. The SGCN National Database consists of three data tables: "source_data", "process_data", and "validated_data". Most users will likely find the "sgcn_species_all_records" table that combines all three tables most useful to compare "source_" names and "validated_" names and to aggregate and summarize using validated names. The "source_data" table provides an archive of all SGCN records listed by conservation authorities over multiple actions plans, which includes the scientific names, common names, locations, and year of action plan. The "process_data" table incorporates processing information, including the archiving and processing dates along with persistent identifiers used for record documentation, while the "validated_data" table provides the taxonomic identities from the matched taxonomic source, including the standardized scientific name, common name, and taxonomic ranks as well as links to supplementary taxonomic information.
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The California Conservation Easement Database (CCED) contains lands protected under conservation easements. It is a parallel data set to the California Protected Areas Database (CPAD), which covers protected areas owned in fee. The first version of the CCED database was released in April 2014, the latest update is from June 2025.
CCED is maintained and published by GreenInfo Network (www.greeninfo.org). GreenInfo Network publishes CCED twice annually.
Please visit the User Guide to learn about using the Conservation Opportunities Modeler.CA Nature supports the California Natural Resources Agency’s goals for equitable access for all, the conservation of the state’s biodiversity, and expanding the use of nature-based solutions to address climate change. The Conservation Opportunities Modeler uses a technique called a Weighted Raster Overlay (WRO) to evaluate multiple factors simultaneously. You can select layers from almost 50 layers in library, assign a weight to each selected layer, and then a scores to the available variables. These are then combined to show the range of combined values across the landscape, whether high or low based on your assigned weights. Data libraries are available to explore opportunities for access for all, biodiversity, climate mitigation and adaptation, as well as opportunities that integrate across multiple challenges. After your model is complete, run it online and explore the results through interactive summaries and comparison against data from CA Nature or other sources. Use the Conservation Opportunities Modeler to explore opportunities through building your own scenarios.
The Conservation Practice Effectiveness Database compiles information on the effectiveness of a suite of conservation practices. This database presents a compilation of data on the effectiveness of innovative practices developed to treat contaminants in surface runoff and tile drainage water from agricultural landscapes. Traditional conservation practices such as no-tillage and conservation crop rotation are included in the database, as well as novel practices such as drainage water management, blind inlets, and denitrification bioreactors. This will be particularly useful to conservation planners seeking new approaches to water quality problems associated with dissolved constituents, such as nitrate or soluble reactive phosphorus (SRP), and for researchers seeking to understand the circumstances in which such practices are most effective. Another novel feature of the database is the presentation of information on how individual conservation practices impact multiple water quality concerns. This information will be critical to enabling conservationists and policy makers to avoid (or at least be aware of) undesirable tradeoffs, whereby great efforts are made to improve water quality related to one resource concern (e.g., sediment) but exacerbate problems related to other concerns (e.g., nitrate or SRP). Finally, we note that the Conservation Practice Effectiveness Database can serve as a source of the soft data needed to calibrate simulation models assessing the potential water quality tradeoffs of conservation practices, including those that are still being developed. This database is updated and refined annually. Resources in this dataset:Resource Title: 2019 Conservation Practice Effectiveness (CoPE) Database. File Name: Conservation_Practice_Effectiveness_2019.xlsxResource Description: This version of the database was published in 2019.
The National Conservation Easement Database (NCED) is the first national database of conservation easement information, compiling records from land trusts and public agencies throughout the United States. This public-private partnership brings together national conservation groups, local and regional land trusts, and local, state and federal agencies around a common objective. This effort helps agencies, land trusts, and other organizations plan more strategically, identify opportunities for collaboration, advance public accountability, and raise the profile of what’s happening on-the-ground in the name of conservation.For an introductory tour of the NCED and its benefits check out the story map.
https://cdla.dev/permissive-1-0/https://cdla.dev/permissive-1-0/
Monitoring of protected areas to curb illegal activities like poaching is a monumental task. Real-time data acquisition has become easier with advances in unmanned aerial vehicles (UAVs) and sensors like TIR cameras, which allow surveillance at night when poaching typically occurs. However, it is still a challenge to accurately and quickly process large amounts of the resulting TIR data. The Benchmarking IR Dataset for Surveillance with Aerial Intelligence (BIRDSAI, pronounced “bird’s-eye”) is a long-wave thermal infrared (TIR) dataset containing nighttime images of animals and humans in Southern Africa. The dataset allows for testing of automatic detection and tracking of humans and animals with both real and synthetic videos, in order to protect animals in the real world. There are 48 real aerial TIR videos and 124 synthetic aerial TIR videos (generated with AirSim), for a total of 62k and 100k images, respectively. Tracking information is provided for each of the animals and humans in these videos. We break these into labels of animals or humans, and also provide species information when possible, including for elephants, lions, and giraffes. We also provide information about noise and occlusion for each bounding box.
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The CDFW Owned and Operated Lands and Conservation Easements dataset is a subset of the CDFW Lands dataset. It contains lands owned (fee title), some operated (wildlife areas, ecological reserves, and public/fishing access properties that are leases/agreements with other agencies that may be publicly accessible) and conservation easements held by CDFW. CDFW Owned and Operated Lands and Conservation Easements replaces the prior dataset, DFG Owned and Operated Lands, which included only fee title lands and some operated lands (wildlife areas, ecological reserves, and public/fishing access properties that are leases/agreements with other agencies and that may be publicly accessible). This is a generalized version dataset that has a shorter attribute table than the original and also has been dissolved based on the fields included. Please note that some lands may not be accessible due to the protection of resources and habitat. It is recommended that users contact the appropriate regional office for access information and consult regulations for CDFW lands in Sections 550, 550.1, 551, 552, 630 and 702. For information on public use regulations on Department lands, please refer to the Public Uses on State and Federal Lands section of the Waterfowl, Upland Game, and Public Use Regulations booklet for both statewide and property-specific regulations https://wildlife.ca.gov/Regulations. All visitors are responsible for knowing and following the general and property-specific regulations.
The CDFW Lands dataset is a digitized geographical inventory of selected lands owned and/or administered by the California Department of Fish and Wildlife. Properties such as ecological reserves, wildlife areas, undesignated lands containing biological resource values, public and fishing access lands, and CDFW fish hatcheries are among those lands included in this inventory. Types of properties owned or administered by CDFW which may not be included in this dataset are parcels less than 1 acre in size, such as fishing piers, fish spawning grounds, fish barriers, and other minor parcels. Physical boundaries of individual parcels are determined by the descriptions contained in legal documents and assessor parcel maps relating to that parcel. The approximate parcel boundaries are drawn onto U.S. Geological Survey 7.5'-series topographic maps, then digitized and attributed before being added to the dataset. In some cases, assessor parcel or best available datasets are used to digitize the boundary. Using parcel data to adjust the boundaries is a work in progress and will be incorporated in the future. Township, range, and section lines were based on the U.S. Geological Survey 7.5' series topographic maps (1:24,000 - scale). In some areas, the boundaries will not align with the Bureau of Land Management's Public Lands Survey System (PLSS). See the "SOURCE" field for data used to digitize boundary.
Capacity building grants made in partnership with the Land Trust Alliance to land trusts in New York State annually beginning 2003.
The Biodiversity Conservation Network (or BioNet) of Maryland layer systematically identifies and prioritizes ecologically important lands to conserve Marylands biodiversity (i.e., plants, animals, habitats, and landscapes). This dataset aggregates numerous separate data layers hierarchically according to the BioNet Criteria Matrix. These data were needed to maximize the influence and effectiveness of public and private conservation investments; promote shared responsibilities for land conservation between public and private sectors; and guide and encourage compatible land uses and land management practices.
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Wildlife Conservation Society (WCS) is a conservation NGO working globallly and in PNG
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Special Areas of Conservation (SACs) are those which have been given greater protection under The Conservation (Natural Habitats, etc.) Regulations 1995 (Northern Ireland) (as amended). They have been designated because of a possible threat to the special habitats or species which they contain and to provide increased protection to a variety of animals, plants, and habitats of importance to biodiversity both on a national and international scale. All of the SAC sites chosen under The Conservation (Natural Habitats, etc.) Regulations (Northern Ireland) 1995 (as amended) are collectively known as the UK national site network which is a network of protected areas across the EU, which forms part of a wider international Emerald Network of Areas of Special Conservation Interest. The sites are chosen according to scientific criteria to ensure favourable conservation status of each habitat type and species. ‘Favourable conservation status’ means managing the site to ensure the special habitats and species are healthy.
Landscape Conservation Cooperatives (LCCs) are public-private partnerships composed of states, tribes, federal agencies, non-governmental organizations, universities, international jurisdictions, and others working together to address landscape and seascape scale conservation issues. LCCs inform resource management decisions to address broad-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are magnified by a rapidly changing climate.
https://koordinates.com/license/attribution-3-0-new-zealand/https://koordinates.com/license/attribution-3-0-new-zealand/
Spatial representation of DOC's management units defined by various acts of parliament and legislation. The attributes in this dataset are derived from the (NaPALIS) National Property and Land Information System, which is a centralised database for all Land Information New Zealand (LINZ) and Department of Conservation (DOC) administered land.
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Former title: COA Wildlife Conservation List
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 Ministry of Agriculture (MOA, former as Council of Agriculture, COA), 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 (TaiCOL) lists 398 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.
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The names and conservation statuses of Queensland flora, mammals, birds, reptiles, amphibians and some fish and invertebrate groups based on the Department of Environment and Science's WildNet database.
The Conservation status of Queensland wildlife report can be accessed to visualise the data.
Species profile search can be used to locate species information such as nomenclature and current statuses (by name or a taxonomy search) approved for release from the WildNet database.
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Conservation / Conservation
U.S. Government Workshttps://www.usa.gov/government-works
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Polygon geometry with attributes displaying conservation areas as defined by the comprehensive plan, FUTUREBR, in East Baton Rouge Parish, Louisiana.
This graph shows the number of members by national environmental and conservation organizations in 2005-2006. The Sierra Club had 778,830 members.
This hosted feature layer has been published in RI State Plane Feet NAD 83. Approximate edges of Conservation Lands protected by the State of Rhode Island through Fee Title Ownership, Conservation Easement, or Deed Restriction. Includes: Wildlife Management Areas, Drinking Water Supply Watersheds, State Parks, Beaches, Bike Paths, Fishing Access Areas, Local Parks and Recreation Facilities that have been developed with State Grant Funds.
A conservation easement, according to the Land Trust Alliance, is “a legal agreement between a landowner and a land trust or government agency that permanently limits uses of the land in order to protect its conservation values.” The National Conservation Easement Database (NCED) is the first national database of conservation easements in the United States. Voluntary and secure, the NCED respects landowner privacy and will not collect landowner names or sensitive information. This public-private partnership brings together national conservation groups, local and regional land trusts, and state and federal agencies around a common objective. The NCED provides a comprehensive picture of the estimated 40 million acres of privately owned conservation easement lands, recognizing their contribution to America’s natural heritage, a vibrant economy, and healthy communities.Before the NCED was created no single, nationwide system existed for sharing and managing information about conservation easements. By building the first national database and web site to access this information, the NCED helps agencies, land trusts, and other organizations plan more strategically, identify opportunities for collaboration, advance public accountability, and raise the profile of what's happening on-the-ground in the name of conservation.With the initial support of the U.S. Endowment for Forestry and Communities, NCED is the result of a collaboration between five environmental non-profits: The Trust for Public Land, Ducks Unlimited, Defenders of Wildlife, Conservation Biology Institute, and NatureServe.
The Species of Greatest Conservation Need National Database is an aggregation of lists from State Wildlife Action Plans. Species of Greatest Conservation Need (SGCN) are wildlife species that need conservation attention as listed in action plans. In this database, we have validated scientific names from original documents against taxonomic authorities to increase consistency among names enabling aggregation and summary. This database does not replace the information contained in the original State Wildlife Action Plans. The database includes SGCN lists from 56 states, territories, and districts, encompassing action plans spanning from 2005 to 2022. State Wildlife Action Plans undergo updates at least once every 10 years by respective wildlife agencies. The SGCN list data from these action plans have been compiled in partnership with individual wildlife management agencies, the United States Fish and Wildlife Service, and the Association of Fish and Wildlife Agencies. The SGCN National Database consists of three data tables: "source_data", "process_data", and "validated_data". Most users will likely find the "sgcn_species_all_records" table that combines all three tables most useful to compare "source_" names and "validated_" names and to aggregate and summarize using validated names. The "source_data" table provides an archive of all SGCN records listed by conservation authorities over multiple actions plans, which includes the scientific names, common names, locations, and year of action plan. The "process_data" table incorporates processing information, including the archiving and processing dates along with persistent identifiers used for record documentation, while the "validated_data" table provides the taxonomic identities from the matched taxonomic source, including the standardized scientific name, common name, and taxonomic ranks as well as links to supplementary taxonomic information.