Abstract
Mangrove forests provide a large variety of ecosystem services (ES) to coastal societies. Using a case study focusing on the Ajuruteua peninsula in Northern Brazil and two ES, food provisioning (ES1) and global climate regulation (ES2), this paper proposes a new framework for quantifying and valuing mangrove ES and allow for their small-scale mapping. We modelled and spatialised the two ES from different perspectives, the demand (ES1) and the supply (ES2) side respectively. This was performed by combining worldwide databases related to the global human population (ES1) or mangrove distribution and canopy height (ES2) with locally derived parameters, such as crab catches (ES1) or species-specific allometric equations based on local estimates of tree structural parameters (ES2). Based on this approach, we could estimate that the area delivers the basic nutrition of about 1400 households, which equals 2.7 million USD, and that the mangrove biomass in the area contains 2.1 million Mg C, amounting to 50.9 million USD, if it were paid as certificates. In addition to those figures, we provide high-resolution maps showing which areas are more valuable for the two respective ES, information that could help inform management strategies in the future.
Highlights
IntroductionWe modelled and spatialised the two Ecosystem services (ES) from different perspectives, the demand (ES1) and the supply (ES2) side respectively
For provisioning services modelled from the demand side, local data are often availFor provisioning services modelled from the demand side, local data are often able as discrete values for specific locations, which require spatial interpolation when available as discrete values for specific locations, which require spatial interpolation when valuations for the the whole wholestudy studyarea
Additional provisioning services could be assessed with only a few adaptations since our approach is based on a globally mapped human population distribution
Summary
We modelled and spatialised the two ES from different perspectives, the demand (ES1) and the supply (ES2) side respectively This was performed by combining worldwide databases related to the global human population (ES1) or mangrove distribution and canopy height (ES2) with locally derived parameters, such as crab catches (ES1) or species-specific allometric equations based on local estimates of tree structural parameters (ES2). Based on this approach, we could estimate that the area delivers the basic nutrition of about 1400 households, which equals 2.7 million USD, and that the mangrove biomass in the area contains 2.1 million Mg C, amounting to 50.9 million USD, if it were paid as certificates.
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