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MozambES - MozambES: Payments for mangrove ecosystem services in Mozambique

Topo Projetos

About the Project

MozambES - MozambES: Payments for mangrove ecosystem services in Mozambique

70% of Mozambicans depend on natural resources for their livelihoods. For poverty to decrease, growth must become more inclusive, and solutions that promote sustainable management of natural resources by rural communities must be found.

Thus, rural poverty, community rights and land management cannot be ignored for resource conservation. Sofala Province (SP) is especially vulnerable to extreme climatic events, holding of the most productive mangrove ecosystems in the country.

This project aims to improve rural livelihoods of those highly-resource dependent and vulnerable communities by promoting sustainable management of urban/peri-urban mangrove ecosystems.

By collaborating with local communities and NGOs and taking advantage of their experience in the field, we place rigorous research at the service of the local communities and authorities, accounting for the cultural and socioeconomic diversity of the region.

For sustainable development, we first estimate the economic value of mangrove Ecosystem Services, and then implement a Payments for Ecosystem Services (PES) scheme at a selected site targeting natural resource conservation/restoration and socioeconomic goals. Multiple benefits are expected, not only on biodiversity, carbon sequestration, water quality, but also by protecting human lives and assets against storms.

Additional social benefits can also be obtained from improved rural cohesion, rural employment, and knowledge/skills transfer to local communities. By fostering human development locally, the PES is expected to increase income generation, gender equality and food security, contributing to decrease undernourishment, and infant and child mortality.

Thus, this project can be taken as a timely contribution to improve the quality of life of those populations and is expected to provide long-lasting beneficial outcomes.



After identifying a few mangrove sites (urban and peri-urban) representative of the diversity of the region and upon which local populations depend, the benefits provided by those ES will be estimated using economic valuation methods. Second, a PES scheme for conservation/restoration will be implemented at a selected site chosen among those previously identified in close collaboration with our local partners and representatives.

Our contribution

NOVA IMS is responsible for the WP 1 - Spatial characterization of mangrove ecosystems at national level. 

The goal of this WP is to spatially characterize mangroves ecosystems at national level and different timescales. The first task consists of mapping those ecosystems based on a time series of remote sensing imagery and radar data using image classification techniques (T1.1). Then, validation of remote-sensing mapping will be undertaken using Landsat optical and high-resolution imagery, and ground-truth data (T1.2). Next, anthropogenic and natural pressures are identified. By analyzing images (T1.1) from different time-periods, impacts from urbanization or climatic events will be assessed. Spatial metrics will allow for a deep understanding of the type of historical mangrove changes (T1.3). To assess mangrove status, vegetation indexes, such as the Normalized Difference Vegetation Index or Combined Mangrove Recognition Index, will be used (T1.4). Hence, the most vulnerable sites in Sofala Province (SP), to be explored in WPs 2-3, can be identified (T1.5). Finally, based on climate change scenarios, forecasting of mangrove spatial-temporal distribution using species distribution models (MaxEnt modeling) can be undertaken (T1.6). After identifying the environmental variables affecting distribution patterns, exposure to climate hazards and erosion will be quantified under climate scenarios.


Partnership: Universidade NOVA de Lisboa (NOVA SBE and NOVA IMS) and Universidade Eduardo Mondlane.

Contribution to the SDGs

  • SDG 1
  • SDG 2
  • SDG 3
  • SDG 4
  • SDG 5
  • SDG 10 Reduced Inequalities
  • SDG 13 Climate Action
  • SDG 14
  • SDG 15
  • SDG 17



Funding Programme: Fundação para a Ciência e Tecnologia and Aga Khan Foundation

Funding to NOVA IMS: €41.099,28

Duration: 21/01/2022 - 20/01/2025