Assessing the effects of using high-quality data and high-resolution models in valuing flood protection services of mangroves
| Autor: | Pelayo Menéndez, Iñigo J Losada, Saúl Torres-Ortega, Alexandra Toimil, Michael W Beck |
|---|---|
| Přispěvatelé: | Universidad de Cantabria |
| Rok vydání: | 2019 |
| Předmět: |
Atmospheric Science
Geographic information system Databases Factual 010504 meteorology & atmospheric sciences Philippines Datasets as Topic Marine and Aquatic Sciences Wind 010501 environmental sciences 01 natural sciences Database and Informatics Methods Coastal Ecosystems Flooding Geoinformatics Coastal flood Valuation (finance) Multidisciplinary Ecology Geography Cyclonic Storms Environmental resource management Data Accuracy Medicine Research Article Conservation of Natural Resources Computer and Information Sciences Storms Climate Change Mangrove Swamps Natural Disasters Science Climate change Developing country Research and Analysis Methods Risk Assessment Ecosystems Meteorology 0105 earth and related environmental sciences Models Statistical Flood myth business.industry Ecology and Environmental Sciences Aquatic Environments Biology and Life Sciences Marine Environments Floods Coasts Tornadoes Wetlands Data quality Earth Sciences Geographic Information Systems Reefs Damages Environmental science Hydrology business |
| Zdroj: | PLoS One 14(8): e0220941. August 20, 2019 UCrea Repositorio Abierto de la Universidad de Cantabria instname PLoS ONE, Vol 14, Iss 8, p e0220941 (2019) PLoS ONE |
| Popis: | The rate of change on coastlines is accelerating from climate change and coastal development. Coastal flooding is a particularly pressing and increasing problem, which affects hundreds of millions of people and damages trillions of US$ in property. Scientists, practitioners and managers must be able to quickly assess flood risk and identify appropriate adaptation and risk reduction measures often with limited data and tools, particularly in developing countries. To inform these decision-making processes, we identify how sensitive flood risk and adaptation analyses are to changes in the resolution of data and models. We further do these comparisons in the context of assess the benefits of an ecosystem-based approach for risk reduction. There is growing interest in these ecosystem-based approaches as cost effective measures for adaptation and risk reduction. We assess flood risks from tropical cyclones and the flood risk reduction benefits provided by mangroves in Pagbilao (the Philippines). Then, we also compare risks and risk reduction (benefits) using different quality data and models, to identify where to invest in in new modeling and data acquisition to improve decision-making. We find that coastal flood risk valuation improves by using high resolution topography and long time series of data on tropical cyclones, while flood reduction benefits of mangroves are better valued by using consistent databases and models along the whole process rather than investing in single measures. We gratefully acknowledge support from the World Bank WAVES Program (Wealth Account- ing and the Valuation of Ecosystem Services) and by the Spanish Ministry of Economy and Innovation (currently named as Ministry of Science, Innovation and Universities), within ECOPROOF project (BIA2014-59718-R), RISKOADAPT project (BIA2017-89401-R) and the FPI grant (BES-2015-074343) |
| Databáze: | OpenAIRE |
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