The NYS Department of Environmental Conservation (DEC) collects and maintains several datasets on the locations, distribution and status of species of plants and animals. Information on distribution by county from the following three databases was extracted and compiled into this dataset. First, the New York Natural Heritage Program biodiversity database: Rare animals, rare plants, and significant natural communities. Significant natural communities are rare or high-quality wetlands, forests, grasslands, ponds, streams, and other types of habitats. Next, the 2nd NYS Breeding Bird Atlas Project database: Birds documented as breeding during the atlas project from 2000-2005. And last, DEC’s NYS Reptile and Amphibian Database: Reptiles and amphibians; most records are from the NYS Amphibian & Reptile Atlas Project (Herp Atlas) from 1990-1999.

Observadores del Mar is a marine citizen science platform launched in 2012 devoted to enhancing the understanding of the conservation status of marine ecosystems. The platform hosts 13 projects covering 8 main taxa: corals, jellyfishes, decapod crustaceans, fishes, seaweeds, seagrasses, seabirds and molluscs, in addition to two projects focused on marine litter and reporting information on two main topics: i) biodiversity data focusing mainly on species distribution and abundance, and ii) the impacts of anthropogenic activities (e.g. jellyfish blooms) and associated mid- to long-term changes (e.g. colonization of invasive species). Almost 5500 observations validated by scientists have been already collected resulting in more than 20 scientific papers and communications. The major findings have been new records of introduced and invasive species, tracking the spread of novel pen shell mortality outbreak in the Mediterranean Sea and monitoring microplastic concentration on beaches.

California supports one of the greatest displays of biodiversity in the nation and the world. The challenge posed by the 30x30 initiative, is to plan and implement conservation strategies which allow all Californians to continue to flourish and succeed, while also ensuring that we safeguard the great abundance of species which reside in this state, and in many cases, exist nowhere else on Earth. Maximizing the benefits of 30x30 for everyone requires, among many other factors, deliberate consideration of the landscape and the ways in which biodiversity is distributed within it. This Explorer introduces several types of biodiversity data for stakeholders to consider when engaged in conservation planning. The Biodiversity Explorer includes dashboards for the Areas of Conservation Emphasis (ACE) and Habitat and Land Cover datasets. These allow deeper explorations of the state’s exceptional biodiversity and the current state of conservation by land cover. The Areas of Conservation Emphasis (ACE) dashboard presents summaries of species data collected and analyzed by the California Department of Fish and Wildlife (CDFW) as part of its ongoing ACE project. ACE rolls multiple types of Species Richness into a Biodiversity Index, and also considers Connectivity, Climate Resilience, and Significant Habitats, all important factors to species and ecological health. The Habitat and Land Cover dashboard presents maps and summaries of land cover according to categories defined by the California Wildlife Habitat Relationship System (CWHR) maintained by CDFW. Conserving connected networks of all land cover types is key to conserving the species which depend upon them. The Habitat and Land Cover dashboard shows the percentage that each land cover type comprises within a county or ecoregion, and the degree to which it falls within already conserved areas.

The EUNIS Database is the European Nature Information System, developed and managed by the European Topic Centre on Biological Diversity (ETC/BD in Paris) for the European Environment Agency (EEA) and the European Environmental Information Observation Network(Eionet).The EUNIS Database web application provides access to publicly available data in a consolidated database. The information includes:Data on Species, Habitats and Sites compiled in the framework of NATURA2000 (EU Habitats and Birds Directives), Data collected from frameworks, data sources or material published by ETC/BD (formerly the European Topic Centre for Nature Conservation). Information on Species, Habitats and Sites taken into account in relevant international conventions or from International Red Lists. Specific data collected in the framework of the EEA's reporting activities, which also constitute a core set of data to be updated periodically.

In 2024, around 76,000 species of vertebrates were known and 11,400 were endangered to become extinct. Furthermore, there were 425,679 plants discovered around the world of which 28,159 were endangered.

Bidiversity assessment

CSIRO Biodiversity Habitat Index (BHI v2) is a global 30 arc-second product for 2000,2005,2010,2015 and 2020. BHI estimates the level of species diversity expected to be retained within any given spatial reporting unit (e.g., a country, a broad ecosystem type, or the entire planet) as a function of the unit’s area, connectivity and integrity of natural ecosystems across it. Results for the indicator can either be expressed as 1) the ‘effective proportion of habitat’ remaining within the unit – adjusting for the effects of the condition and functional connectivity of habitat, and of spatial variation in the species composition of ecological communities (beta diversity); or 2) the effective proportion of habitat that can be translated, through standard species-area analysis, into a prediction of the proportion of species expected to persist (i.e. avoid extinction) over the long term. \t

The BHI is used to monitor and report past-to-present trends in the expected persistence of species diversity by repeatedly recalculating the indicator using best-available mapping of ecosystem condition or integrity observed at multiple points in time, e.g., for different years. A wide variety of data sources can be used for this purpose, spanning spatial scales from global to subnational, and including data assembled by countries for deriving ecosystem condition accounts under the UN SEEA Ecosystem Accounting framework. The BHI can also serve as a leading indicator for assessing the contribution that proposed or implemented area-based actions are expected to make towards enhancing the present capacity of ecosystems to retain species diversity, thereby providing a foundation for strategic prioritisation of such actions by countries.

Aggregation of the raw data for reporting by a region (country, ecoregion etc.) should follow the procedure in the folder " Calculating weighted geometric means of CSIRO BILBI indicators for a region" Lineage: The Biodiversity Habitat Index is calculated using the CSIRO BILBI biodiversity modelling infrastructure. BILBI is based on a global 30s grid, with environmental data comprising terrain adjusted www.WorldClim.org (v1) climate data and soil data from www.SoilGrids.org (v1). This was combined with www.GBIF.org (Global Biodiversity Information Facility) data to generate spatial biodiversity models (using Generalised Dissimilarity Modelling) for each WWF biome/realm combination. Habitat condition is calculated from downscaled Land Use Harmonisation surfaces ( using land cover data from www.esa-landcover-cci.org/) combined with coefficients from the PREDICTS database (www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.html).

This dataset includes bibliographic information for 501 papers that were published from 2010-April 2017 (time of search) and use online biodiversity databases for research purposes. Our overarching goal in this study is to determine how research uses of biodiversity data developed during a time of unprecedented growth of online data resources. We also determine uses with the highest number of citations, how online occurrence data are linked to other data types, and if/how data quality is addressed. Specifically, we address the following questions:

1.) What primary biodiversity databases have been cited in published research, and which

 databases have been cited most often?

2.) Is the biodiversity research community citing databases appropriately, and are

 the cited databases currently accessible online?

3.) What are the most common uses, general taxa addressed, and data linkages, and how

 have they changed over time?

4.) What uses have the highest impact, as measured through the mean number of citations

 per year?

5.) Are certain uses applied more often for plants/invertebrates/vertebrates?

6.) Are links to specific data types associated more often with particular uses?

7.) How often are major data quality issues addressed?

8.) What data quality issues tend to be addressed for the top uses?

Relevant papers for this analysis include those that use online and openly accessible primary occurrence records, or those that add data to an online database. Google Scholar (GS) provides full-text indexing, which was important to identify data sources that often appear buried in the methods section of a paper. Our search was therefore restricted to GS. All authors discussed and agreed upon representative search terms, which were relatively broad to capture a variety of databases hosting primary occurrence records. The terms included: “species occurrence” database (8,800 results), “natural history collection” database (634 results), herbarium database (16,500 results), “biodiversity database” (3,350 results), “primary biodiversity data” database (483 results), “museum collection” database (4,480 results), “digital accessible information” database (10 results), and “digital accessible knowledge” database (52 results)--note that quotations are used as part of the search terms where specific phrases are needed in whole. We downloaded all records returned by each search (or the first 500 if there were more) into a Zotero reference management database. About one third of the 2500 papers in the final dataset were relevant. Three of the authors with specialized knowledge of the field characterized relevant papers using a standardized tagging protocol based on a series of key topics of interest. We developed a list of potential tags and descriptions for each topic, including: database(s) used, database accessibility, scale of study, region of study, taxa addressed, research use of data, other data types linked to species occurrence data, data quality issues addressed, authors, institutions, and funding sources. Each tagged paper was thoroughly checked by a second tagger.

The final dataset of tagged papers allow us to quantify general areas of research made possible by the expansion of online species occurrence databases, and trends over time. Analyses of this data will be published in a separate quantitative review.

The data represents an assessment of biodiversity risk for the agricultural area of Alberta in 2002. Biodiversity risk refers to the loss of biological diversity, or the variety of plant and animal life in agricultural landscapes. This map, created in ArcGIS, tries to show where biodiversity could be threatened, such as in areas with significant habitat that coincide with areas of greater agricultural economic activity. Biodiversity is believed to affect the overall health of the environment.

This dataset provides a direct internet link to FSM's data hosted on the GBIF website / records.

GIST Impact in partnership with the Integrated Biodiversity Assessment Tool (IBAT) offers a suite of science-based ESG data products that provide an accurate and comprehensive picture of companies’ impacts and dependencies on nature.

The data provides valuable insights into the intricate relationship between corporate assets and biodiversity hotspots. The spreadsheet provides a holistic view of asset distribution in proximity to key biodiversity areas (KBA) and the World Database on Protected Areas (WDPA). Organizations can therefore assess nature-related risks and identify areas of opportunity using GIST Impact’s Biodiversity Proximity Analysis ESG Data.

By defining a buffer as an influence area, we have carefully determined the assets intersecting with both KBA and WDPA boundaries. Our analysis extends beyond the mere identification of asset intersections, delving into the realm of environmental impact. We have thoroughly examined the influence areas of assets located within KBA regions, identifying the presence of IUCN Red List threatened species. This critical assessment sheds light on the potential impact of corporate activities on endangered species, emphasizing the need for proactive conservation measures.

Biodiversity Proximity Risk Data allows organizations to: 1. Understand priority asset locations of companies close to biodiversity hotspots 2. Gain granular insights on species near assets at a very fine resolution 3. Access GIS maps overlaid with business asset locations to evaluate biodiversity hotspots, as recommended by TNFD 4. Leverage our extensive asset location database with millions of assets tagged by company, sector and type of asset

This synthesis focuses on estimates of biodiversity change as projected for the 21st century by models or extrapolations based on experiments and observed trends. The term “biodiversity” is used in a broad sense as it is defined in the Convention on Biological Diversity to mean the abundance and distributions of and interactions between genotypes, species, communities, ecosystems and biomes. This synthesis pays particular attention to the interactions between biodiversity and ecosystem services and to critical “tipping points” that could lead to large, rapid and potentially irreversible changes. Comparisons between models are used to estimate the range of projections and to identify sources of uncertainty. Experiments and observed trends are used to check the plausibility of these projections. In addition we have identified possible actions at the local, national and international levels that can be taken to conserve biodiversity. We have called on a wide range of scientists to participate in this synthesis, with the objective to provide decision makers with messages that reflect the consensus of the scientific community and that will aid in the development of policy and management strategies that are ambitious, forward looking and proactive. Available online Call Number: [EL] ISBN/ISSN: 92-9225-219-4 Physical Description: 134 p.

The annual biodiversity conservation funding in 2022 was just *** billion U.S. dollars. To reach the targets of the United Nations Biodiversity Conference (COP), approximately five times this amount must be increased.

This database contains documented observations of the relationship between biodiversity and ecosystem functioning in urban areas globally published between 2006 and June 2023. We systematically reviewed publications from Web of Science. To be included, studies needed to explicitly assess how at least one metric of biodiversity related to at least one ecosystem function and must have been conducted in an urban setting (as defined by the study author). We only included studies that explicitly assessed correlations between biodiversity and ecosystem functioning or tested cause/effect models or experiments. We extracted data related to basic study information and methodology, and the ecosystem function assessed, focal taxonomic group, biodiversity metric, and direction of the biodiversity-ecosystem function relationship.

This dataset summarizes biodiversity data on plants, animals, marine and other biodiversity elements in Cook Islands.

biodiversity data for invertebrates, vertebrates, endemic and invasive species