A Hybrid Modelling Approach for Detecting Seasonal Variations in Inland Green-Blue Ecosystems [poster]

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Abstract

Deforestation, environmental pollution, and the overexploitation of resources, in addition to the Earth's natural cycles, are scaling up the impacts of climate change in the provision of Ecosystem Services (ES). Green-Blue Ecosystems (GBE) are impacted by climatic conditions, topography, and water presence. In the context of climate change, Portugal is recognized as a hotspot among the most vulnerable European countries. Recent studies have shown evidence of climatic changes, such as the long periods of drought recorded in 1990, 2004/2005 and2012. The more frequent occurrence of these events is increasing the severity of seasonality effects on GBE and compromising the provision of services such as freshwater supply, and consequently crop and wood production, and carbon storage and sequestration.
Original languageEnglish
Pages1
Number of pages1
Publication statusUnpublished - 3 Jul 2024
EventEncontro Ciência 2024 - Centro de Congressos da Alfândega do Porto, Porto, Portugal
Duration: 3 Jul 20245 Jul 2024
Conference number: 13
https://www.encontrociencia.pt/

Conference

ConferenceEncontro Ciência 2024
Abbreviated titleCiência 2024
Country/TerritoryPortugal
CityPorto
Period3/07/245/07/24
Internet address

Keywords

  • Remote Sensing
  • Machine Learning
  • Geographic Information Systems
  • Aquatic Ecosystems
  • Terrestrial Ecosystems
  • Climate Change

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