Global trends in applying decision science in mangrove restoration: are we missing some dimensions?

• Published in: Ocean & coastal management Vol. 254; p. 107172
• Main Authors: Rodríguez-Rodríguez, J. Alexandra, Duarte de Paula Costa, Micheli, Wartman, Melissa, Rasheed, A. Rifaee, Palacios, Maria, Macreadie, Peter
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2024
• Subjects: Conservation planning; Decision analysis; Mangroves; Restoration; Socio-ecological systems; Mangroves; Socio-ecological systems; Restoration; Decision analysis; Conservation planning
• ISSN: 0964-5691; 1873-524X
• DOI: 10.1016/j.ocecoaman.2024.107172

Mangrove restoration involves complex decision-making processes and can often lack adequate stakeholder engagement and empowerment to inform effective restoration outcomes. Decision science has the potential to overcome such challenges by facilitating structured approaches to make informed, participatory, and defensible decisions through the use of decision-support frameworks and tools. In this paper, we conduct a bibliometric and scoping review of peer-reviewed scientific literature to identify how decision science has been applied to advise mangrove restoration efforts and the extent to which social, economic, and ecological variables have been used to inform these studies. We find a steady increase in the number of mangrove restoration studies that employ decision science from 1990 to 2022, with an annual growth rate of 4.4%. We identified over 300 decision support tools used in mangrove restoration literature. Spatial data was the most documented tool to support mangrove studies. We also find that most papers focused on ecological variables (85.5%), while social (27.2%) and economic (15.1%) variables received less attention. Studies that used decision support frameworks were also sparse, where the most featured framework was Systematic Conservation Planning. The number of studies explicitly incorporating social and economic variables was limited, and there was also a scarcity of studies incorporating variables associated with governance. Regardless of the dominance of ecological variables, this review highlights a shift towards incorporating social dimensions into decision tools, emphasizing concepts like vulnerability to climate change, ecosystem services, and social benefits. Collaboration among countries, scientists, and practitioners is crucial to operationalise a socio-ecological framework within decision science. Enhancing the utility of scientific research for practitioners remains a critical goal in addressing the challenges faced by mangrove restoration projects globally. •The use of decision frameworks is infrequent in the mangrove restoration literature.•There is a recent shift from ecological-based decision tools to include social variables.•Mangrove restoration decision science overlooks governance and economic variables.•Scientists commonly support mangrove restoration decisions using spatial data.•Collaboration is crucial for decision science with a socioecological lens.