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Conservation stories told with geospatial data
Wildlife monitoring data can be used as input for species distribution modelling supporting MPA management. Thanks to the enrichment of biologging data and EO data we can understand the habitat limits of marine wildlife and generate zones based on spatial models that can be translated into policies and marine spatial planning.
The “Wildlife Tracker” v0.4 can annotate the values of Earth Observation data matching time and location of biologging data. This algorithm supports the statistics production used to understand animal behavior, habitat modelling, and MPAs management.
The “Wildlife Tracker” v0.3 is online. The geo-framework is ready to use and displays real-time biologging data from Movebank and Earth Observation data from Copernicus Marine Service. Applications are focused on MPAs management, wildlife conservation efforts, and fishery planning.
July 2022
Integration of Blue Cloud services
Blue Cloud is a collaborative virtual environment and data provider for open ocean science. Thanks to them it is possible to overly to wildlife tracking data the Chl-a concentration as a proxy for phytoplankton diversity accessed through Blue Cloud Virtual Lab of Zoo and Phytoplankton EOV products. Discover the implementation in this online event
The “Wildlife Tracker” keeps improving the geoinformatics capabilities and tailor-made user experience with the recently developed cloud geo-framework “Wildlife Tracker v0.3”. Get to know the capabilities and services it can offer such as geospatial visualization, wildlife monitoring, ocean datasets, shareable web maps, and analytics (in development).
The Galapagos Whale Shark Project began using the Wildlife Tracker to follow the movements of whale sharks tagged. The animals were heading out of the Galapagos Marine Reserve’s (GMR) boundaries and entering the high seas. Unfortunately, the alert system of the geo-framework reported individuals on land. Get to know this story and the early response taken for the conservation effort.
The implementation of “Wildlife Tracker” supports the preservation of marine biodiversity, the resilience of fish stocks, mitigation of climate change, opportunities for sustainable tourism, and MPAs assessment with data-driven decisions. Get to know how we can be implemented as a Blue Economy Model in marine conservation projects.
The “Galapagos Whale Shark Project” started using the “Wildlife Tracker v0.3” with ocean bio-physical variables in near real-time. The geo-framework is able to display ocean data layers such as SST and Chl-a on selected dates. The implementation helps to understand what drives the movements of whales sharks in the Galapagos Marine Reserve and to protect meaningful marine ecosystems.
The Wildlife Tracker has evolved. The new version is able to retrieve real-time ocean variables such as Chl-a concentration, Sea Surface Temperature, Salinity, and more. The geo-framework fetches data from Copernicus Marine Service with 3D capability. It means you can find ocean data at 0m, 10m, 50m, 100m, and many more depth options.
November 2021
Movement analysis for wildlife monitoring
Wildlife Tracker is powered by movement analysis algorithms. This article explains briefly how the stop detection algorithms can be used to understand wildlife behavior in their migration routes or daily lives. The demo is part of the Wildlife Tracker Gallery v0.2
October 2021
Now is connected to Live Feeds
Wildlife Tracker now is receiving near real-time data from satellite constellations like Argos, Icarus, GSM, and Iridium. Get to know our capabilities for map animations, real-time updates, and movement analytics. The platform is ready to be used in movement ecology projects.
July 2021
Wildlife Tracker introduction
Wildlife Tracker is a geo-platform capable of revealing animal behavior based on movement algorithms. It has been tested in studies of movement ecology that includes species such as Blue whales, Adélie penguins, Great whales, and Lesser black-backed gulls. The demos are hosted online and can be found in our Gallery section.