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.

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.

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.

This dataset contains information regarding the acreages of land currently (as of 2004) enrolled in the Conservation Reserve Program (CRP) distributed by county and the year the CRP contract was initiated (1987-2004, excluding 1994 and 1995). Additionally, it contains total acreages of land enrolled in the CRP distributed by county and the contract year (1987-2003). USDA Farm Service Agency's (FSA) Conservation Reserve Program (CRP) is a voluntary program available to agricultural producers to help them safeguard environmentally sensitive land. Producers enrolled in CRP plant long-term, resource-conserving covers to improve the quality of water, control soil erosion, and enhance wildlife habitat. In return, FSA provides participants with rental payments and cost-share assistance. Contract duration is between 10 and 15 years. Acreage enrolled in the CRP is planted to resource-conserving vegetative covers, making the program a major contributor to increased wildlife populations in many parts of the country. These spatial data were created by cross-referencing a base map of counties in the western U.S. with tabular data provided by: (1) Data in the columns labeled by year indicate the "Total All Practices" acreage entered into active CRP contracts in that county in that year. (2) Information requested under the Freedom of Information Act (USDA Case#2004-180) Although the CRP Program continues, and new lands are entered into contracts and some contracted lands expire, this map is static as of the publication date because it was created for a specific analysis. A user could update this dataset by editing the attribute table with new data as it is produced.

Wildlife Conservation Society (WCS) is a conservation NGO working globallly and in PNG

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.

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 December 2024.

CCED is maintained and published by GreenInfo Network (www.greeninfo.org). GreenInfo Network publishes CCED twice annually.

Other Effective Area-based Conservation Measures (OECMs) complement protected areas through sustained, positive conservation outcomes, even though they may be managed primarily for other reasons. Version: March 2025.

Nature Conservation Orders (NCOs) are made to protect any natural feature of land that is within (1) a site of special scientific interest (SSSI), (2) a European site or (3) other land of special interest, and where it is either being actively damaged or there is evidence that it is under threat of damage. The Orders set out certain prohibited operations and the land to which they apply.

For more information visit https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/conservation-orders/nature-conservation-order

Global Environment, Conservation And Wildlife Organizations Market to hit USD 41.45B by 2029 growing at 7.2% CAGR. Explore trends, drivers, and competition for strategic insights with The Business Research Company.

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.

Conservation / Conservation

Capacity building grants made in partnership with the Land Trust Alliance to land trusts in New York State annually beginning 2003.

FLORIDA CONSERVATION LANDS (layer name FLMA): This is a polygon data layer for public (and some private) lands that the Florida Natural Areas Inventory (FNAI) has identified as having natural resource value and that are being managed at least partially for conservation purposes. The term "Managed Area" refers to a managed conservation land.

Problem Statement

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Conservation organizations faced challenges in monitoring and analyzing environmental parameters across vast and remote areas. Traditional methods were time-consuming, resource-intensive, and provided limited real-time data. These limitations hindered proactive decision-making for conservation and sustainability initiatives. The organization sought an intelligent solution to monitor environmental changes, identify threats, and support sustainability goals.

Challenge

Developing an environmental monitoring system required addressing the following challenges:

Collecting and processing diverse environmental data, including air quality, water levels, temperature, and biodiversity, in real time.

Deploying sensors and systems in remote and harsh environments while ensuring reliability.

Analyzing large datasets to detect patterns and trends that inform conservation actions.

Solution Provided

An advanced environmental monitoring system was developed using AI-driven data analytics, IoT sensors, and machine learning models. The solution was designed to:

Continuously monitor key environmental parameters using IoT-enabled sensors deployed in target areas.

Analyze data to identify trends, detect anomalies, and predict potential threats.

Provide real-time dashboards and reports to conservationists for proactive decision-making.

Development Steps

Data Collection

Installed IoT sensors to capture environmental parameters, including air and water quality, soil moisture, temperature, and wildlife activity.

Preprocessing

Standardized and cleaned data to ensure accuracy and compatibility for machine learning analysis.

Model Development

Built machine learning models to identify environmental trends and detect anomalies. Developed predictive analytics algorithms to forecast potential environmental risks, such as droughts or pollution events.

Validation

Tested the system on historical environmental data and real-time inputs to ensure accuracy and reliability in diverse scenarios.

Deployment

Deployed the system in key conservation areas, integrating it with cloud platforms for real-time data access and remote monitoring.

Continuous Monitoring & Improvement

Established a feedback loop to refine models based on ongoing data collection and conservation feedback.

Results

Enhanced Environmental Data Accuracy

IoT-enabled sensors provided accurate, real-time data, improving the reliability of environmental monitoring efforts.

Proactive Conservation Measures

Predictive analytics enabled early detection of threats such as deforestation, pollution, and habitat degradation, supporting timely interventions.

Promoted Sustainability Initiatives

The system provided actionable insights that guided sustainability programs and resource management efforts.

Improved Decision-Making

Conservationists used real-time dashboards and analytics to make data-driven decisions, optimizing the allocation of resources.

Scalable and Robust Solution

The system scaled seamlessly to cover additional monitoring areas and adapted to new environmental metrics as needed.

This graph shows the number of members by national environmental and conservation organizations in 2005-2006. The Sierra Club had 778,830 members.

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.

A new 30 meter resolution polygon data layer of the islands of the United States, with associated attributes describing key physical and conservation geography characteristics. Islands were grouped into a three-tiered hierarchy of island provinces (12), island regions (28), and individual islands (a total of 19,023 islands were extracted). Islands were classified as estuarine vs non-estuarine, and nearshore vs. offshore.