Forest Loss Drivers and Landscape Pressures in a Northern Moroccan Protected Areas’ Network: Introducing a Novel Approach for Conservation Effectiveness Assessment

Author:

Boubekraoui Hamid12,Attar Zineb1,Maouni Yazid1ORCID,Ghallab Abdelilah2ORCID,Saidi Rabah1,Maouni Abdelfettah1ORCID

Affiliation:

1. Biology, Environment and Sustainable Development Laboratory, ENS, Abdelmalek Essaadi University, Tetouan 93000, Morocco

2. Regional Directorate of the National Agency for Waters and Forests, Tetouan BP 722, Morocco

Abstract

This study assesses the conservation effectiveness of 21 protected areas (PAs) in Northern Morocco, comprising 3 parks and 18 Sites of Ecological and Biological Interest (SBEIs), against five major landscape pressures (LSPs): deforestation, infrastructure extension, agricultural expansion, fires, and population growth. We propose a novel quantitative methodology using global remote sensing data and exploratory spatial data analysis (ESDA). Data were sourced from Global Forest Change (GFC), Global Land Analysis and Discovery (GLAD), Burned Area Product (MODIS Fire_CCI51), and World Population datasets. The combined impact of the five LSPs was measured using a cumulative effect index (CEI), calculated with the Shannon–Wiener formula at a 1 km2 scale. The CEI was analyzed alongside the distance to the PAs’ network using Moran’s index, identifying four spatial association types: high–high (HH), high–low (HL), low–low (LL), low–high (LH), and non-significant (NS) cells. This analysis defined four zones: inner zone (IZ), potential spillover effect zone (PSEZ), statistically non-significant zone (SNSZ), and non-potential effect zone (NPEZ). Conservation effectiveness was quantified using the conservation ratio (CR), which compared the prevalence of LL versus HL units within IZs and PSEZs. Four disturbance levels (very high, high, medium, and low) were assigned to CR values (0–25%, 25–50%, 50–75%, 75–100%), resulting in sixteen potential conservation effectiveness typologies. Initial findings indicated similar deforestation patterns between protected and unprotected zones, with wildfires causing over half of forest losses within PAs. Conservation effectiveness results categorized the 21 PAs into nine typologies, from high conservation to very high disturbance levels. A significant positive correlation (71%) between CRs in both zones underscored the uniform impact of LSPs, regardless of protection status. However, protected natural area zones in the parks category showed minimal disruption, attributed to their advanced protection status. Finally, we developed a methodological framework for potential application in other regions based on this case study.

Publisher

MDPI AG

Reference90 articles.

1. Ervin, J. (2010). Making Protected Areas Relevant: A Guide to Integrating Protected Areas into Wider Landscapes, Seascapes, and Sectoral Plans and Strategies, Secretariat of the Convention on Biological Diversity.

2. UNDP (United Nations Development Programme) (2021). Creating a Nature Positive Future: The Contribution of Protected Areas and Other Effective Area-Based Conservation Measures, UNDP.

3. Benabid, A. (2000). Flore et Écosystèmes du Maroc: Évaluation et Préservation de la Biodiversité, Ibis Presses.

4. (2024, February 03). ONEM Observatoire National de l’Environnement du Maroc-Ministère de L’Aménagement du Territoire, de L’Urbanisme, de L’Habitat et de L’Environnement Departement de l’Environnement: Etude Nationale sur la Biodiversité-Rapport de Synthèse. Available online: https://inau.ac.ma/binau/index.php?lvl=notice_display&id=786.

5. MEMEE (Ministère de l’Énergie, des Mines, de l’Eau et de l’Environnement) (2014). Stratégie et Plan d’Action National de la Biodiversité, MEMEE.

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