Elsevier

Environmental Development

Volume 36, December 2020, 100584
Environmental Development

Valuation of coastal ecosystem services in the Large Marine Ecosystems of Africa

https://doi.org/10.1016/j.envdev.2020.100584Get rights and content

Abstract

The African coastline is bordered by highly valuable marine ecosystems, but the environmental degradation due to anthropogenic pressure alter the benefits that they render to people. Our paper aims at assessing the value of ecosystem services provided by mangroves, seagrass beds, coral reefs, and kelp forests present in the Large Marine Ecosystems (LMEs) of Africa. After the mapping of coastal marine habitats, our valuation relies on the transfer of value of all ecosystem services from reference monetary unit values, extracted from the literature. A habitat functionality index based on the assumption that a higher population density and a higher demographic growth rate lead to a decrease in the functionality and services of marine habitats was then defined and incorporated into the valuation. The surveyed coastal habitats cover about 117,000 km2, with seagrass beds being by far the most extensive habitat. Present all along the coasts of Africa, their surface area represents about 62% of surveyed coastal habitats, followed by the mangroves (23%), coral reefs (15%). Kelp forests are only present in the southern Benguela Current LME. We estimated the annual value of the LME's coastal ecosystem services at 814 billion USD. Coral reefs have the highest value (588 billion USD/year), followed by seagrass beds (135 billion USD/year), mangroves (91 billion USD/year), and kelp forests (0.4 billion USD/year). The results show that ecosystem services from the four coastal habitat types had the highest value in the Agulhas Current LME, representing 38% of the total value, followed by the Red Sea LME (28%) and the Somali Coastal Current LME (10%). The three LMEs of the Atlantic side represent 15% of the total estimated value. Our paper highlighted many gaps that remain to be filled in terms of mapping and ecosystem services assessment in Africa. Nonetheless, our estimated values can facilitate dialogue between decision-makers and managers, and between countries sharing the same habitats and marine resources, toward better management of these ecosystems.

Introduction

The African coastline, which is over 30,000 km long, is subject to many pressures (UNEP-WCMC, 2016). Its natural habitats are damaged due to direct anthropogenic actions (resource extraction, environmental modification, pollution) and indirect actions such as climate change (Belle et al., 2016; CBD, 2018). Thus, the surface area of natural coastal habitats such as mangroves, coral reefs, and seagrass beds has globally decreased in recent decades (with an annual loss of mangrove surface area of 2%, for example) (IPBES, 2018). At the same time, the ecological condition of these habitats has deteriorated, leading to a loss of more than 50% of the live coral cover in coral reefs of the southwest Indian Ocean following the 1998 and 2016 bleaching events due to surface waters warming (Belle et al., 2016; IPBES, 2018). Therefore, African coastal habitats’ optimal functioning is hampered even though their functions are essential to maintain a suitable living environment for African and World populations.

In order to counteract this phenomenon, national and international institutions have mobilized to organize and harmonize public policies in favor of the coastal environment in Africa (Abidjan Convention, Nairobi Convention, Jeddha Convention, Convention on Biological Diversity, etc.). In this context, ecosystem-based approaches on a multi-national scale are becoming increasingly common. This is particularly true within Large Marine Ecosystem (LME) programs that often establish multi-national diagnostics and strategic documents to optimize resources and natural spaces management within large-scale geographical areas, but also to guarantee a stable regional base in terms of human, institutional and scientific capacities and progress towards sustainable development (Satia, 2016). While public policies formerly focused on maintaining natural spaces and related biodiversity, they are now increasingly included in the process of reclaiming and enhancing degraded natural areas (Palmer and Filoso, 2009; Prober et al., 2019; Smith-Hall, 2009), in line with the United Nations’ Sustainable Development Goals – SDG 15 (United Nations, 2015) and Aichi Targets 14 and 15 (CBD, 2010). In the current framework of the Intended Nationally Determined Contribution for the implementation of the Paris Agreement with particular consideration for blue carbon (UNECA, 2016; CMAE et al., 2019), or more conventionally in the achievement of Aichi Targets (Tittensor et al., 2014; Failler et al., 2019) and the implementation of Global Environment Facility (GEF)-funded programs related to LMEs (Sherman, 2019), the enhancement of coastal habitats has a leading role. In this regard, a monetary valuation is a relevant tool for integrating the environment into the economic, political, and social spheres (Binet et al., 2012; UNEP and GRID-Arendal, 2016). Quantifying ecosystem services in monetary terms allows us to compare different types of habitats and compare them with income-generating economic activities (Bacon et al., 2019). It also makes it possible to estimate the costs of political inaction (Trégarot et al., 2017), following the degradation of natural habitats. While the natural capital is often overlooked due to a lack of data compared to the human, social and economic capital (Failler et al., 2015; Pascal et al., 2018), this approach offers the advantage of emphasizing ecosystems in the planning of public policies. Choices in terms of investment for protection or conservation would be better informed if, for example, undervalued and previously overlooked habitats, such as seagrass beds, are taken into account. Monetary valuation of ecosystems further allows for greater balance in decision-making regarding the use of spaces: economic activities to the detriment of ecosystems versus risk-averse management of these ecosystems due to their high economic value.

This article's objective is to present an economic valuation of the services provided by African coastal ecosystems. The economic value of these ecosystems is calculated from the surface area of the main African coastal habitats, namely mangroves, coral reefs, seagrass beds, and kelp forests, and considers their functionality in relation to anthropogenic stressors. We used Large Marine Ecosystems (LMEs) as a spatial unit for conservation purposes. Developed by Sherman and Alexander (1986), “LMEs are relatively large areas of ocean space (>200,000 km2) located along the margins of the continents. They are defined based on four ecological criteria: bathymetry (bottom depth); hydrography (water column structure); productivity; and trophic linkages” (Sherman, 2019). The LME concept enables ecosystem-based management to provide a collaborative approach to managing resources within ecologically bounded transnational areas. The method used is innovative since it incorporates the level of anthropogenic pressure to adjust the monetary valuation calculated using benefit transfer, where monetary assessments are usually limited to surface area data. The adjustment of the production function, which characterizes relationships between habitat condition and the delivery of economically valuable ecosystem services, by the ecological condition or the vulnerability of habitats was tested in the evaluation of ecosystem services for coral reefs and associated habitats (mangroves and seagrass beds), within the French Initiative for the Protection of Coral Reefs in French Overseas - IFRECOR (Failler et al., 2015; Trégarot et al., 2017). It was more recently applied to assess ecosystem services in the Banc d'Arguin National Park (PNBA), the largest marine protected area in West Africa (Trégarot et al., 2018). In the context of chronic lack of data and studies relating to African coastal and marine ecosystem services (Wangai et al., 2016; Willcock et al., 2016), this article presents, to our knowledge, the first exhaustive monetary study at the scale of the whole African continent for four essential coastal habitats. The geographic scale is unprecedented, considering that none of the monetary assessments that have already been conducted in Africa does exceed the regional level (Interwies, 2011; Interwies and Görlitz, 2013 in UNEP and GRID-Arendal, 2016), or individual LME level (Chukwuone et al., 2009). Moreover, they focused on few topics such as fishery resources (Sumaila, 2016), West African marine protected areas (Binet et al., 2012) and carbon sequestration (Bryan et al., 2020). Our approach can be re-used for similar work at other spatial scales (regional, national and local), particularly within the framework of the implementation of the African strategy relating to the blue economy, within which the enhancement of coastal ecosystems is a central concern.

The article is structured in three parts to present 1) the methods used for mapping and assessing ecosystem services considering the anthropogenic pressures; 2) a section giving the estimated value of coastal habitats per LME; 3) a discussion that integrates the main results into a broader reflection on the development challenges of the continent with its coastal environment.

Section snippets

Estimated surface area of coastal marine habitats

The files digitizing the surface areas of coastal marine habitats targeted in this study (coral reefs, mangroves, and seagrass beds) are available on the Ocean Data Viewer database (available online at data.unep-wcmc.org). At the same time, we retrieved the distribution of kelp forests from Blamey and Bolton (2018). We determined coral reefs' surface area (UNEP-WCMC et al., 2018) considering only the surface areas that correspond to the African waters with the function “cutting” of the QGIS

Surface areas of coastal marine habitats

Based on our mapping, the combined extent of coral reefs, mangroves, and seagrass beds was estimated at approximately 117,000 km2, following a heterogeneous distribution. Seagrass beds, which are present all along the coasts of Africa, are the most extensive ecosystem with an estimated surface area of more than 72,000 km2 (Table 2). The mangroves come next, with a surface area of 27,465 km2, distributed between Mauritania in the north and Angola in the south for the Atlantic coast, while they

Discussion

Assessing the value of ecosystem services is essential to facilitate the dialogue with and between decision-makers and make choices about public investment. It helps to formulate sound policies for both economic development and nature conservation.

The first key outcome of the valuation is that coral reef is the most important habitat, with 72% of the value generated (17% from seagrass beds, 11% from mangroves, and 0.06% from kelp forests). Despite a surface area fourfold smaller than seagrass

Conclusion

As human populations continue to increase, particularly in Africa, future population growth and expansion of human settlements in the coastal areas will increase the challenges for conserving species-rich LMEs and maximizing the benefits that humans can gain from nature (Luck, 2007). With an annual loss estimated at 570 billion USD, it questions the effectiveness of policies at national, regional, and continental levels. Therefore, it is crucial to identify economic policy instruments for LMEs’

CRediT authorship contribution statement

Ewan Trégarot: Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review & editing, Writing - review & editing. Grégoire Touron-Gardic: Conceptualization, Writing - original draft, Investigation, Formal analysis, Visualization. Cindy C. Cornet: Methodology, Formal analysis, Writing - original draft, Writing - review & editing, Writing - review & editing. Pierre Failler: Writing - review & editing, Supervision.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

. Demographic parameters associated with Large Marine Ecosystems from adjacent countries and derived habitat functionality index.

Large Marine Ecosystems (LMEs) and the additional region of AfricaPopulationaPopulation Densitya* [inhabitants/km2]Population Growth Ratea [%/year]Habitat Functionality Index
African Islands of

Acknowledgements

We are grateful to the anonymous reviewers for critical and constructive feedback.

References (102)

  • P. Failler et al.

    Valuation of marine and coastal ecosystem services as a tool for conservation: the case of Martinique in the Caribbean

    Ecosystem services

    (2015)
  • E. Furlan et al.

    Cumulative impact index for the adriatic sea: accounting for interactions among climate and anthropogenic pressures

    Sci. Total Environ.

    (2019)
  • D. Hebbeln et al.

    Thousands of cold-water coral mounds along the Moroccan Atlantic continental margin: distribution and morphometry

    Mar. Geol.

    (2019)
  • A. Himes-Cornell et al.

    Valuing ecosystem services from blue forests: a systematic review of the valuation of salt marshes, sea grass beds and mangrove forests

    Ecosystem Services

    (2018)
  • D.R.M. Jayathilake et al.

    A modelled global distribution of the seagrass biome

    Biol. Conserv.

    (2018)
  • L. Ledoux et al.

    Valuing ocean and coastal resources: a review of practical examples and issues for further action

    Ocean Coast Manag.

    (2002)
  • A. Ndour et al.

    Management strategies for coastal erosion problems in west Africa: analysis, issues, and constraints drawn from the examples of Senegal and Benin

    Ocean Coast Manag.

    (2018)
  • L.M. Nordlund et al.

    Seagrass ecosystem services–What's next?

    Mar. Pollut. Bull.

    (2018)
  • N. Pascal et al.

    Economic valuation of coral reef ecosystem service of coastal protection: a pragmatic approach

    Ecosystem Services

    (2016)
  • N. Pascal et al.

    Evidence of economic benefits for public investment in MPAs

    Ecosystem Services

    (2018)
  • B. Satia

    An overview of the large marine ecosystem programs at work in Africa today

    Environmental Development

    (2016)
  • K. Sherman

    Large marine ecosystems in kirk cochran, J., bokuniewicz, H., yager, P

    Encyclopedia of Ocean Science 3rd Edition

    (2019)
  • U.R. Sumaila

    Socio-economic benefits of large marine ecosystem valuation: the case of the Benguela current large marine ecosystem

    Environmental Development

    (2016)
  • A.d.O.B. Ventura et al.

    A new empirical index for assessing the vulnerability of peri-urban mangroves

    J. Environ. Manag.

    (2014)
  • P.W. Wangai et al.

    A review of studies on ecosystem services in Africa

    International Journal of Sustainable Built Environment

    (2016)
  • T. Wernberg et al.

    Status and trends for the world's kelp forests

  • AU-IBAR, 2019. Africa Blue Economy Strategy. African Union - Interafrican Bureau for Animal resources, Nairobi, Kenya....
  • E.B. Barbier et al.

    The value of estuarine and coastal ecosystem services

    Ecol. Monogr.

    (2011)
  • E.M.S Belle et al.

    Impacts du changement climatique sur la biodiversité et les aires protégées en Afrique de l’Ouest, Résumé des résultats du projet PARCC, Aires protégées résilientes au changement climatique en Afrique de l’Ouest

    (2016)
  • T. Binet et al.

    Évaluation de la valeur socio-économique des écosystèmes marins et côtiers des Aires marines protégées de l'Afrique de l'Ouest. Report for PRCM

    (2012)
  • J.J. Bolton

    The biogeography of kelps (Laminariales, Phaeophyceae): a global analysis with new insights from recent advances in molecular phylogenetics

    Helgol. Mar. Res.

    (2010)
  • L.C. Braat et al.

    The Cost of Policy Inaction: the Case of Not Meeting the 2010 Biodiversity Target. Wageningen, Alterra, Alterra-Rapport

    (2008)
  • T. Bryan et al.

    Blue carbon conservation in West Africa: a first assessment of feasibility

    J. Coast Conserv.

    (2020)
  • P. Bunting et al.

    The global mangrove watch—a new 2010 global baseline of mangrove extent

    Rem. Sens.

    (2018)
  • B.J. Cardinale et al.

    Biodiversity loss and its impact on humanity

    Nature

    (2012)
  • CBD

    Aichi Biodiversity Targets. in: COP 10 Decision X/2: Strategic Plan for Biodiversity, 2011-2020

    (2010)
  • CBD

    Pan-African Action Agenda on Ecosystem Restoration for Increased Resilience

    (2018)
  • C.W. Clark

    Mathematical Bioeconomics: the Optimal Management of Renewable Resources

    (1990)
  • Conférence ministérielle africaine sur l’environnement – promouvoir l’économie bleue/océanique en Afrique : note du secrétariat. 17th session by African Ministerial Conference on the Environment, African Union and UNEP

    Durban, South Africa

    (2019)
  • S.G. Cole et al.

    Valuing multiple eelgrass ecosystem services in Sweden: fish production and uptake of carbon and nitrogen

    Frontiers in Marine Science

    (2016)
  • J.C. Creed et al.

    First record of seagrass in Cape Verde, eastern Atlantic

    Marine Biodiversity Records

    (2016)
  • L. Creel

    Ripple Effects: Population and Coastal Regions

    (2003)
  • T.P. Dawson et al.

    Dynamic properties of complex adaptive ecosystems: implications for the sustainability of service provision

    Biodivers. Conserv.

    (2010)
  • M. Di Marco et al.

    Human pressures predict species' geographic range size better than biological traits

    Global Change Biol.

    (2015)
  • J. Ellison

    Vulnerability assessment of mangroves to climate change and sea-level rise impacts

    Wetl. Ecol. Manag.

    (2015)
  • L. Emerton

    Using valuation to make the case for economic incentives: promoting investments in marine and coastal ecosystems as development infrastructure

  • P. Failler et al.

    Détermination de la valeur socio-économique des récifs coralliens des mangroves et herbiers de phanérogames de la Martinique

    (2010)
  • P. Failler et al.

    Is Aichi target 11 progress correctly measured for developing Countries ?

    Trends Ecol Evol

    (2019)
  • T.E. Fatoyinbo et al.

    Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM

    Int. J. Rem. Sens.

    (2013)
  • F. Ferrario et al.

    The effectiveness of coral reefs for coastal hazard risk reduction and adaptation

    Nat. Commun.

    (2014)
  • Cited by (16)

    • Linking ecosystem services to a coastal bay ecosystem health assessment: A comparative case study between Jiaozhou Bay and Daya Bay, China

      2022, Ecological Indicators
      Citation Excerpt :

      However, most coastal bays throughout the world have undergone considerable degradation due to global climate change and anthropogenic pressures, resulting in eutrophication, hypoxia, biodiversity decline, valuable ecological habitat loss, etc. (Halpern et al., 2015). Such detrimental effects damage the sustainability of ecosystem services for human communities (Halpern et al., 2015; Shan and Li, 2020; Trégarot et al., 2020). The rapid deterioration of coastal bays has intensified the need for effective ecosystem health assessments, namely, an effective management tool can provide useful information for administrators and decision makers to monitor, protect, and restore degraded coastal ecosystems (Lackey, 2001; Hermoso and Clavero, 2013; Borja et al., 2016a,b; Pan et al., 2021).

    View all citing articles on Scopus
    View full text