TY - GEN
T1 - Prioritization of New Green Infrastructures Aimed at Protecting Urban Biodiversity
AU - Ribeiro, Marina Pannunzio
AU - De Melo, Kaline
AU - Chen, Dongmei
AU - Valente, Roberta Averna
PY - 2024
Y1 - 2024
N2 - Urban expansion threatens ecosystems, biodiversity, and public health. Green infrastructure helps promote biodiversity and improve air and water quality, and public health benefits. This study aimed to develop a geospatial model to support decision-making on identifying priority areas for increasing green infrastructure to maintain biodiversity in urban landscapes, focusing on the Atlantic Forest Biome. The model was based on Multicriteria Analysis and a mixed approach to define the criteria, integrating literature review and participatory techniques. Using the Weighted Linear Combination, the model classified areas into low, medium, and high priorities based on four criteria: landscape connectivity, proximity to Protected Areas, rivers and lakes, and distances from streets and roads. The high-priority areas were identified as the most suitable for implementing new green infrastructure. Results provide insights for urban managers seeking to expand green networks and biodiversity-driven infrastructure, transforming urban areas into resilient ecosystems addressing the challenges posed by climate change.
AB - Urban expansion threatens ecosystems, biodiversity, and public health. Green infrastructure helps promote biodiversity and improve air and water quality, and public health benefits. This study aimed to develop a geospatial model to support decision-making on identifying priority areas for increasing green infrastructure to maintain biodiversity in urban landscapes, focusing on the Atlantic Forest Biome. The model was based on Multicriteria Analysis and a mixed approach to define the criteria, integrating literature review and participatory techniques. Using the Weighted Linear Combination, the model classified areas into low, medium, and high priorities based on four criteria: landscape connectivity, proximity to Protected Areas, rivers and lakes, and distances from streets and roads. The high-priority areas were identified as the most suitable for implementing new green infrastructure. Results provide insights for urban managers seeking to expand green networks and biodiversity-driven infrastructure, transforming urban areas into resilient ecosystems addressing the challenges posed by climate change.
KW - ecosystem benefits
KW - Multicriteria Analysis
KW - urban green areas
KW - Urban planning
KW - urban resilience
UR - http://www.scopus.com/inward/record.url?scp=85204898655&partnerID=8YFLogxK
U2 - 10.1109/IGARSS53475.2024.10640597
DO - 10.1109/IGARSS53475.2024.10640597
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85204898655
SN - 9798350360332
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5447
EP - 5452
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - United States
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -