Powerful, interactive graphs, charts and mapping at this new dashboard show private conservation banking including bank status, changes in listed species, species credit releases, inventories, sales and more.
The Endangered Species Act (ESA) was enacted to provide a means whereby the habitat upon which endangered and threatened species depend may be conserved. Under Sections 7 and 10 of the ESA, the taking of listed species may be allowed when certain limiting criteria are met. In 2003,the US Fish and Wildlife Service (USFWS) issued a memorandum on conservation banking indicating that activities regulated under Section 7 or Section 10 of the ESA may be eligible to use a conservation bank if the adverse impacts to the species from the particular project are offset by buying credits created or sold by the bank.
This dashboard is included in all EcoBlu Analyst 5.0 Data Licenses and provides the key to understanding patterns, trends, and insights previously locked away in unrelated, incompatible databases.
The powerful interactive big data system converts more than 35 million data points into practical, useful information for industry, engineering/environmental firms, mitigation providers, environmental non-profits, government resource agencies and others.
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conservation banking, credits, esa, prices, US Fish and Wildlife Service, values
WASHINGTON, DC – January 15, 2024, The National Environmental Banking Association and EcoBlu Analyst™ announce the release of a viewable/downloadable GIS ArcGIS layer of U.S. Mitigation and Conservation Banks, locations, contacts and more for the community of Esri users. This collection of geographic information and associated maps, apps, and data layers are additional resources for
Read MoreWith government agencies and private companies adding vast amounts of routinely-isolated data in unrelated databases and still churning paper reports every day – databases, spreadsheets, and reports now exist in different formats, on different servers, and each with their own metadata and codes. Gathering and analyzing this data has become so expensive and time consuming
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