A survey of biodiversity informatics: Concepts, practices, and challenges

In 2017, funding from the Biodiversity Information Fund for Asia accelerated data mobilization and georeferencing by Pakistani herbaria. The funding directly benefited only two herbaria but, by the end of the project 9 herbaria were involved in sharing data, 2 through GBIF (ISL 2019, SINDH 2019; codes according to Index herbariorum) and 6 others (BANNU 2019, BGH 2019, PUP 2019, QUETTA 2019, RAW 2019, SWAT 2019) through OpenHerbarium, a Symbiota based network. Eventually, all collections in OpenHerbarium are expected to become GBIF data providers. Additional Pakistani herbaria are being introduced to data mobilization and several individuals have expressed interest in learning to use OpenHerbarium to generated documented checklists for teaching and research and others for learning to link information in OpenHerbarium to other resources. These are the first steps to developing a “a large group of individuals … to train, mentor, and champion [biodiversity] data use” in Pakistan, but it is important to remember that good bioidiversity data starts in the field. We need to provide today’s collectors and educators with easy access to a) information about what constitutes a high-quality herbarium specimen; b) tools for making it easier to record and provide high quality specimen data; c) simple mechanisms for sharing data in ways that provide immediately useful resources; and d) learning to make use of the data becoming available. OpenHerbarium addresses the third and fourth needs and also makes it simple for collections to become GBIF data providers. This year, the focus will be on first two of the three steps identified. Introduction of the new resources will be used to introduce collectors and educators to the ideas underlying provision of biodiversity data that is fit for use and reuse. When Symbiota2 is functional, OpenHerbarium will be moved to that system. This will encourage development of additional tools for using biodiversity data. All these activities are essential to helping spread understanding of the concepts integral to biodiversity informatics. It is, of course, possible “to train, build, and champion data use” using data for other parts of the world, or provided by institutions from other parts of the world, but embedding good biodiversity data practices into the fabric of a country’s biodiversity education and research activities better benefits the country if a substantial portion of the data is generated from within the country. It also helps to spread knowledge of the country’s biodiversity among its students. Consequently, our focus in developing Pakistan’s capacity in biodiversity informatics is on engaging collections and collectors in sharing biodiversity data, then helping them discover, use, and create methods for developing the insights needed to encourage wise use of the country’s biological resources, and encouraging interaction. This will lead to a “community of practice” within Pakistan that can both benefit from and contribute to an international “community of practice”.

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The Biodiversity Informatics Landscape: Elements, Connections and Opportunities

Research Ideas and Outcomes ◽

10.3897/rio.3.e14059 ◽

2017 ◽

Vol 3 ◽

pp. e14059 ◽

Cited By ~ 13

Author(s):

Heather Bingham ◽

Michel Doudin ◽

Lauren Weatherdon ◽

Katherine Despot-Belmonte ◽

Florian Wetzel ◽

...

Keyword(s):

Biodiversity Informatics ◽

Landscape Elements

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Biodiversity informatics: managing and applying primary biodiversity data

Philosophical Transactions of the Royal Society B Biological Sciences ◽

10.1098/rstb.2003.1439 ◽

2004 ◽

Vol 359 (1444) ◽

pp. 689-698 ◽

Cited By ~ 195

Author(s):

Jorge Soberón ◽

Townsend Peterson

Keyword(s):

Information Technology ◽

Developing Countries ◽

State Of The Art ◽

Biodiversity Informatics ◽

Biodiversity Data ◽

High Quality ◽

Biodiversity Management ◽

Work Limitations

Recently, advances in information technology and an increased willingness to share primary biodiversity data are enabling unprecedented access to it. By combining presences of species data with electronic cartography via a number of algorithms, estimating niches of species and their areas of distribution becomes feasible at resolutions one to three orders of magnitude higher than it was possible a few years ago. Some examples of the power of that technique are presented. For the method to work, limitations such as lack of high-quality taxonomic determination, precise georeferencing of the data and availability of high-quality and updated taxonomic treatments of the groups must be overcome. These are discussed, together with comments on the potential of these biodiversity informatics techniques not only for fundamental studies but also as a way for developing countries to apply state of the art bioinformatic methods and large quantities of data, in practical ways, to tackle issues of biodiversity management.

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