News from the ARIES community
the latest in ARIES software development and model applications
New study links land and sea through an ecological-economic model of coral reef recreation in West Maui, Hawai’i
Picture by Kevin Weng, VA Institute of Marine Science and UH Fisheries Ecology Research Lab Coastal zones are popular recreational areas that substantially contribute to social welfare. Tourism is a critical economic driver for Hawai'i and specifically the...
At a glance: Renewable energy and ecosystem services mapping and assessment in Japan
Picture by oadtz--3657813 Kii Hayashi is Professor at Nagoya University, Japan, and at the Institute of Materials and Systems for Sustainability (IMaSS). As part of the ARIES team, Prof. Hayashi uses the k.LAB technology for mapping and assessing ecosystem...
Twitter discussion’s wrap-up: #AriesChat
Picture by icon0.com What does natural capital accounting (NCA) stand for? What’s the added value that it offers to improve policy-making decisions against GDP? How can NCA and artificial intelligence (AI) be used in combination to inform climate mitigation and...
#AriesChat: Discussing the benefits of natural capital accounting for ecosystem services
What does natural capital accounting (NCA) stand for? Why is it important for the sustainability of our ecosystem services? Nature must be at heart of decision-making. Since natural resources are scarce, NCA helps to translate ecological results into environmental and...
ARIES launches the video series #ARIESAtHome
In March 2020, different governments across the world implemented wide ranging control measures to slow the spread of COVID-19. Fortunately, the lockdown restrictions did not affect the ARIES group members based at the Basque Centre for climate Change (BC3) and the...
What is the semantic web, and why could it be a game changer for ecosystem services?
Toward faster, better, cheaper ecosystem service assessments “It’s just semantics” – Easy way to end a minor disagreement about what to call something “Data collection and preparation takes up 60% of the time needed for environmental modeling” – apocryphal Big data...
