A web-based GIS tool for exploring the world's biodiversity: The Global Biodiversity Information Facility Mapping and Analysis Portal Application (GBIF-MAPA)

Flemons, Paul; Guralnick, Robert; Krieger, Jonathan R.; Ranipeta, Ajay; Neufeld, David A.

doi:10.1016/j.ecoinf.2007.03.004

Cited by 105 publications

(63 citation statements)

References 8 publications

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“…This system uses interactive GIS-enabled environments to provide fine-resolution and frequent predictions of bird densities for the Netherlands and the continental United States and Alaska (Shamoun-Barnes et al, 2008). The Global Biodiversity Information Facility"s (GBIF) Mapping and Analysis Portal Application (MAPA) is another example of how WebGIS has facilitated the effective analysis and visualization of a legacy biodiversity dataset which was not being employed optimally (Flemons et al, 2007). By building this application a number of challenges were met, including assuring fast speed of access to the vast amounts of data available through these distributed biodiversity databases; developing open standards based access to suitable environmental data layers for analyzing biodiversity distribution; building suitably flexible and intuitive map interfaces for refining the scope and criteria of an analysis; and building appropriate web-services based analysis tools that are of primary importance to the ecological community.…”

Section: Gis: the Internet Revolutionmentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

114

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This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of accuracy and uncertainty, data visualization and sharing activities as well as developments in aspects of ecological modeling research. It is shown that considerable advances have been made over recent years and foundations for future research established. BackgroundGeotechnology has been couched as one of the three "mega-technologies" of the 21 st century, along with nanotechnology and biotechnology (Gewin, 2004). On the cusp of the second decade of the 21 st century it is evident that recent developments in the geotechnologies of Geographic Information Science (GIS) and remote sensing have had a substantial impact on ecological research, providing spatial data and associated information to enable the further understanding of ecological systems (Rundell et al., 2009). In a digital society there is sometimes an expectation that information is just a click away and this may apply to spatial information in the domain of ecological informatics. Indeed, it has been in the last five years that developments in and relating to the fields of GIS and remote sensing, such as those seen in internet technologies (e.g., Web 2.0; high performance communication networks; Brunt et al., 2007), sensing technology (e.g., quantum well infrared photodetectors; Krabach, 2000), data standards and interoperability (e.g., OGC® KML 2.2) and spatially explicit modeling (e.g., Osborne et al., 2007), have resulted in the revelation of previously unobservable phenomena and posing of what might be termed second generation of ecological questions. During this time we have also seen more support for the open exchange of data and software and infrastructure for location based services. This paper serves as a review of some of the recent developments in GIS and remote sensing that have been or promises to be of benefit to ecological informatics. The subjects addressed are necessarily selective and limited in scope, drawing on topics of interest to us and, we hope, to you.

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Section: Gis: the Internet Revolutionmentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

114

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“…un-sampled) PD. The recent availability of comprehensive phylogenies (Bininda-Emonds et al 2007;Jetz et al 2012) and rich data on species occurrences (Flemons et al 2007), coupled with analytical advances such as PD rarefaction, allows us to better understand the distribution of Phylogenetic Diversity on the surface of the Earth and the processes giving rise to that distribution. This is valuable for its own sake but will also inform efforts to conserve as much of the Tree of Life as possible in the face of future extinctions (Rosauer and Mooers 2013).…”

Section: Resultsmentioning

confidence: 99%

The Rarefaction of Phylogenetic Diversity: Formulation, Extension and Application

Nipperess

2016

Topics in Biodiversity and Conservation

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Like other measures of diversity, Phylogenetic Diversity (PD) increases monotonically and asymptotically with increasing sample size. This relationship can be described by a rarefaction curve tracing the expected PD for a given number of accumulation units. Accumulation units represent individual organisms, collections of organisms (e.g. sites), or even species (or equivalent), giving individualbased, sample-based and species-based curves respectively. The formulation for the exact analytical solution for the rarefaction of PD is given in an expanded form to demonstrate congruence with the classic formulation for the rarefaction of species richness. Rarefaction is commonly applied as a standardisation for diversity values derived from differing numbers of sampling units. However, the solution can be simply extended to create measures of phylogenetic evenness, phylogenetic betadiversity and phylogenetic dispersion, derived from individual-based, sample-based and species-based curves respectively. This extension, termed ∆PD, is simply the initial slope of the rarefaction curve and is related to entropy measures such as PIE (Probability of Interspecific Encounter) and Gini-Simpson entropy. The application of rarefaction of PD to sample standardisation and measurement of phylogenetic evenness, phylogenetic beta-diversity and phylogenetic dispersion is demonstrated. Future prospects for PD rarefaction include the recognition of evolutionary hotspots (independent of species richness), the basis for ecological theory such as phylogenyarea relationships, and the prediction of unseen biodiversity.

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“…As a result, WGIS has become an essential tool for SDI in many countries (e.g., Maguire and Longley 2005;Koshkarev et al 2008);Beaumont et al 2005;Rao et al 2002). WGIS and SDI applications are broad, ranging from managing and planning of conservation reserves (Rao et al 2002), to exploring biodiversity (Flemons et al 2007), decision support (Karnatak et al 2007), public health (Maclachlan et al 2007;Moreno-Sanchez et al 2006) and education (Lo et al 2009), among many others.…”

Section: Discussionmentioning

confidence: 99%

Web-oriented GIS system for monitoring, conservation and law enforcement of the Brazilian Amazon

et al. 2009

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A web GIS (WGIS) system for the Brazilian Amazon, named ImazonGeo and based on open source and public domain data, is presented. ImazonGeo was built following three principles. First, the system is based on Spatial Data Infrastructure architecture and web interface built using free software and public domain data. Second, we went beyond visualization of maps and spatial queries by providing information obtained with spatial analysis models. To do that, we designed a database that stores the results of previously defined spatial analyses and developed customized reports and query tools to facilitate fast access of information by end-users. Finally, the system is application-oriented in the areas of forest monitoring, conservation and forest law enforcement, meaning that it aims to contribute to support the protection of Brazilian Amazon forests. We illustrate these principles by presenting ImazonGeo's technology, architecture, content and tools. Moreover, we present two successful cases to demonstrate how the system is being used. We conclude the paper discussing the challenges and potential solutions to turning our WGIS-SDI system into an internet hub of geoinformation about the Brazilian Amazon.

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A web-based GIS tool for exploring the world's biodiversity: The Global Biodiversity Information Facility Mapping and Analysis Portal Application (GBIF-MAPA)

Cited by 105 publications

References 8 publications

An overview of recent remote sensing and GIS based research in ecological informatics

An overview of recent remote sensing and GIS based research in ecological informatics

The Rarefaction of Phylogenetic Diversity: Formulation, Extension and Application

Web-oriented GIS system for monitoring, conservation and law enforcement of the Brazilian Amazon

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