Voluntary consensus based geospatial data standards for the global illegal trade in wild fauna and flora
Meredith L Gore1,2, Lee R Schwartz3, Kofi Amponsah-Mensah4
1Department of Geographical Sciences, University of Maryland, College Park, MD, USA. gorem@umd.edu.
Scientific Data
|June 6, 2022
Summary
Developing geospatial data standards is crucial for combating wildlife trafficking. These standards enable better data utilization and analysis, leading to more effective interventions against illegal wildlife trade.
Area of Science:
- Conservation Science
- Data Science
- Geospatial Analysis
Background:
- Wildlife trafficking generates substantial data, yet its potential for informing interventions remains largely untapped.
- Effective wildlife trafficking control necessitates integrated data collection, aggregation, and analysis across diverse geographic locations.
- Geospatial data are vital but often underutilized due to a lack of standardized formats, hindering data accessibility and aggregation.
Purpose of the Study:
- To develop and implement geospatial data standards specifically designed to enhance efforts against wildlife trafficking.
- To facilitate the improved collection, aggregation, and analysis of wildlife trafficking data.
Main Methods:
- Conducted voluntary, participatory workshops involving diverse, multisectoral stakeholders across three continents.
- Utilized online portals and electronic communication to engage over 100 participants.
- Focused on creating practical geospatial data standards applicable to real-world decision-making.
Main Results:
- Successfully developed and disseminated geospatial data standards for wildlife trafficking.
- The developed standards support data-driven decision-making, contributing to indictments and network disruption.
- Enabled broader data utilization across disciplines and sectors.
Conclusions:
- Geospatial data standards are essential for unlocking the full potential of wildlife trafficking data.
- Implementation of these standards accelerates data aggregation and analysis, advancing evidence-based interventions.
- Standardized geospatial data are a key tool in reducing global wildlife trafficking and its associated criminal networks.
More Related Videos
Related Concept Videos
Threats to Biodiversity
There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
Biodiversity and Human Values
Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
Habitat Fragmentation
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
Multi-species Conserved Sequences
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Selected Data About Geographic Locations
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
GIS Software, Hardware, and Sources of GIS Data
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...


