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The Freshwater Biodiversity Information System (FBIS) – mobilising data for monitoring freshwater ecosystems

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The Freshwater Biodiversity Information System (FBIS) – mobilising data for monitoring freshwater ecosystems
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
Access to long-term biodiversity datasets is vital for monitoring, managing, and protecting freshwater ecosystems. Detecting critical ecosystem changes, such as losing unique biodiversity and ecosystem services, is dependent on access to data. A wealth of biodiversity data exists for river ecosystems in South Africa, but an operational information system to access these data is currently not available. To address this knowledge gap, the Freshwater Biodiversity Information System (FBIS) has been developed. FBIS is a platform for hosting, visualizing, and sharing freshwater biodiversity information for South African rivers. The project seeks to mobilize and import to the system baseline biodiversity data, identify strategic long-term monitoring sites, and train key organizations on how to use the information system. Using map-based visualizations, user-friendly dashboards and rapid data extraction capabilities, the system will improve knowledge of freshwater biodiversity and long-term river health trends, thereby supporting better-informed river management decisions and conservation planning projects.
Keywords
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Advanced Boolean Expression LanguageAbelian categoryStatisticsDigital filterUniform resource locatorWebsiteSpeciesRow (database)Computer animation
Abelian categoryTemporal logicCloud computingConservation lawModule (mathematics)Source codeInformationMachine visionDigital filterView (database)Level (video gaming)Row (database)SpeciesModule (mathematics)Physical systemWebsiteComputer animation
Digital filterConservation lawAbelian categoryModule (mathematics)Temporal logicObservational studySource codeCloud computingTemporal logicDivisorComputer configurationSource codeEndliche ModelltheorieLevel (video gaming)SubsetConservation lawComputer animation
Online helpPolygonLeast squaresControl flowPolygonRow (database)Level (video gaming)Total S.A.Computer animation
Lie groupTime zoneData managementSystem administratorWebsiteFunctional (mathematics)Context awarenessLevel (video gaming)Web pageComputer animation
Distribution (mathematics)CodeSingle-precision floating-point formatWebsiteBeta functionAbelian categoryDigital filterOctahedronConservation lawCloud computingCASE <Informatik>Randelemente-MethodeTesselationSatelliteSource codeTape driveTablet computerData managementCore dumpInterior (topology)Revision controlTerm (mathematics)Resource allocationFaculty (division)Correspondence (mathematics)Visual systemPerformance appraisalComputing platformSoftware maintenanceDecision theoryChannel capacityAddress spacePhysical systemGroup actionFunction (mathematics)Integrated development environmentThermal expansionService (economics)Uniqueness quantificationSystem programmingNeuroinformatikRouter (computing)Binary fileSpeciesMultiplicationMultiplication signData managementComputer fileConservation lawAdditionSource codeMetadataLink (knot theory)Row (database)InternetworkingObservational studyVisualization (computer graphics)Mobile appCovering spaceSingle-precision floating-point formatNumberWebsiteDialectComputer animationProgram flowchart
Transcript: English(auto-generated)
Hi, my name is Dimas, I'm the lead developer of the Freshwater Biodiversity Information System or FPIS from Cartoza. I'm going to be talking about how FPIS can help small realizing data for monitoring freshwater ecosystem. FPIS is funded by JRRS and Sanbi and developed by Cartoza and Freshwater Research Center in South Africa.
There are many challenges when dealing freshwater data in South Africa. South Africa's freshwater biodiversity and ecosystem are under severe threat. The country's unique freshwater biodiversity is under enormous pressure from climate change.
Access to reliable data in change in river biodiversity is essential for informed freshwater decision-making. Without an open access information system that unifies isolated datasets, existing data will continue to be underutilized.
We address this need through development of the FPIS, Freshwater Biodiversity, a powerful, visual, data-rich information system that serves biodiversity and associated data. FPIS is open for public and accessible at freshwaterbiodiversity.org.
FPIS is built with Python and Django and we use open layers to display the map. FPIS is currently serving more than 500,000 occurrence records, 6,000 different species and more than 50,000 location sites.
Let's take a quick look on the system. Here's the map view of the site. You can filter by the module and search by species name. This will give you the total collected records of the species and also the occurrences on the map.
Filter options are provided in FPIS, including filtering by biodiversity module, data source, temporal factor, spatial, indemism, origin and conservation status. Querying subset of data using this filter provide an easy and powerful way to extract, visualize and analyze biological data.
You can also filter occurrences by drawing a polygon on the map, like so. Give you the total record.
And there's also spatial layers. Spatial layers function as contextual layers and they may be turned on and off in the FPIS map. Site admins can easily add more of these spatial layers from the admin page.
FPIS has been built to incorporate a number of dashboards that summarize and visualize and allow downloads of biological and associated data. Another dashboard is the Taxander dashboard. In this dashboard, you can see occurrences, data offer times, origin, animism and conservation status data of these species.
And there's also single-site dashboard. The summary data are displayed by chart showing the proportion of taxa in its origin, animism and conservation status, occurrences over time and also the animism chart and conservation status chart.
In addition, metadata associated with occurrences records are provided. All of these data are downloadable as CSV and also as SVG file.
Here's a quick look of the multi-site dashboard. We still have many features in FPIS that I couldn't cover in this talk, like taxon management, source reference management and also tools to harvest GBIF data and so on. We also published an article about the FPIS.
We built FPIS so it can be easily customized. We expanded FPIS to other regions. In Rwanda, we developed Orbis and in Botswana, we developed Orbis. Currently, we are busy developing FPIS mobile app that can work offline so a user can collect occurrences on site without internet.
FPIS source code is available on this link and also documentation. That's it.