Gap analysis (conservation)
Gap analysis is a tool used in wildlife conservation to identify gaps in conservation lands or other wildlands where significant plant and animal species and their habitat or important ecological features occur.
Conservation managers or scientists can use it as a basis for providing recommendations to improve the representativeness of nature reserves or the effectiveness of protected areas so that these areas provide the best value for conserving biological diversity. With the information that a gap analysis yields, the boundaries of protected areas may be designed to subsume 'gaps' containing significant populations of wildlife species that can enhance the long-term survival of a larger metapopulation of the species already within the managed or protected area, or to include a diversity of wildlife species or ecosystems that merit protection but are inadequately represented in an existing protected area network. Gap assessments can be done using the geographic information system: land maps that delineate topography, biological and geological features, boundaries, land ownership and use are overlaid with the distribution of wildlife species. How much of the species' distribution fall within or without the conservation lands, or within a highly exploited area etc. can be identified.
At its simplest, a gap analysis is an assessment of the extent to which a protected area system meets protection goals set by a nation or region to represent its biological diversity. Gap analyses can vary from simple exercises based on a spatial comparison of biodiversity with existing protected areas to complex studies that need detailed data gathering and analysis, mapping and use of software decision packages.
Gap types
Gap analyses generally consider a range of different "gaps" in a protected area network:- Representation gaps: either no representations of a particular species or ecosystem in any protected area, or not enough examples of the species or ecosystem represented to ensure long-term protection.
- Ecological gaps: while the species or ecosystem occurs in the protected area system, occurrence is either of inadequate ecological condition, or the protected area fail to address species' movements or specific ecological conditions needed for long-term survival or ecosystem functioning.
- Management gaps: protected areas exist but management regimes do not provide full security for particular species or ecosystems given local conditions.
Citizen Science in Gap Analysis
Citizen science efforts can contribute valuable data toward the recognition of representation, ecological, and management gaps in conservation and restoration efforts that may have otherwise been costly or labor-intensive for researchers or institutions to undertake.In a gap analysis evaluating the effectiveness of protected areas for the preservation of the short-snouted seahorse and long-snouted seahorse along the Italian coast, researchers used data collected through iSeahorse, a part of Project Seahorse. This tool enables divers from around the world, including ecotourists, to contribute photographs and observations of seahorse species. By combining this citizen-sourced data with geographic information systems and species distribution models, researchers were able to identify a representation gap, estimating that only 25-30% of the habitat where these species were spotted was currently under protection by existing conservation areas.
In another study, researchers completed a gap analysis for the preservation of the critically endangered Harpy Eagle. The researchers used data sourced from eBird, an application that allows citizens to contribute photographs and observations of avian sightings. Incorporating information gathered from eBird, the species' predicted habitat, and a species distribution model, the researchers concluded that the Harpy Eagle's current designated conservation areas covered approximately 18% of its potential range.
In Argentina, the non-governmental organization Aves Argentinas assembled volunteers to conduct annual bird surveys of the threatened Yellow Cardinal from September to October each year from 2015 to 2017. These volunteers recorded observations of the Yellow Cardinal and its nesting sites, providing valuable data to researchers completing a gap analysis aimed at understanding changes in the species' habitat selection over time to assess the adequacy of existing protected areas. This analysis supported researchers in identifying the variations between the current habitats and protected zones.
U.S. Gap Analysis Project
The gap analysis process itself was conceived in the 1980s, by J. Michael Scott, at the University of Idaho. He developed methods to assess endangered birds in Hawaii and began by mapping the distribution of each species individually. Then he combined data on individual species to create a map of species richness throughout the island. Until this approach was developed there was no broad scale way to assess the level of protection given to areas rich in biodiversity. The results of this analysis led to creation of the Hakaiau Forest National Wildlife Refuge, in one of the areas of highest species richness. In the late 1980s, Scott and other researchers at the University of Idaho Cooperative Fish and Wildlife Research Unit initiated an Idaho Gap Analysis Project as a first pilot project under the auspices of the U.S. Fish and Wildlife Service. Following two years of methods development, the program was launched in 1989 as part of the U.S. Geological Survey under the title Gap Analysis Program. GAP is now known as the Gap Analysis Project.The Gap Analysis Project mission is to provide state, regional, and national biodiversity assessments of the conservation status of native vertebrate species, aquatic species, and natural land cover types and to facilitate the application of this information to land management activities. The stated goal of GAP is "keeping common species common". GAP partners in the development of four core datasets: a detailed map of the terrestrial ecosystems of the United States; maps of predicted habitat distributions for the terrestrial vertebrate species for the U.S.; distribution models for aquatic species; and the Protected Areas Database of the U.S.