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Review articles

Rates and socioecological drivers of mangrove forest cover loss in Honduras: a systematic review

Osorto-Nuñez, Marco Herminio1*

Abstract.

In Honduras, mangrove forests have experienced considerable decline, and to date, there is no synthesis addressing forest cover loss at the national level and its drivers. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to conduct a systematic review to analyze forest cover loss in Honduran mangroves and the socioecological drivers that have influenced it over time. The literature review revealed that a total of 68,766.34 ha of mangrove forest cover were lost between 1965 and 2024. The areas most affected by deforestation were the Pacific coast of Honduras (PCH), with a loss of 54,409.75 ha and an annual rate of 1.51%, followed by the Atlantic coast of Honduras (ACH), particularly the departments of Cortés (loss: 1,377.83 ha; annual rate: 2.62%) and Gracias a Dios (loss: 10,260.23 ha; annual rate: 1.39%). Aquaculture and agriculture emerged as the main drivers, especially in the PCH (Gulf of Fonseca). On the other hand, urban development and industrialization played a predominant role in the ACH. Furthermore, the effects of climate change, particularly sea level rise, emerged as key drivers resulting in considerable mangrove losses in Cortés. The findings of this review highlight the importance of investigating national and regional variations in mangrove loss in Honduras and its underlying causes. With this information, more effective conservation measures tailored to the specific circumstances of each area can be designed to safeguard the sustainability of these valuable ecosystems.

Key words::
aquaculture, agriculture, climate change, coastal development, drivers, coastal wetlands

Introduction

Mangroves provide a unique connection between terrestrial and marine ecosystems and host a rich biodiversity of flora and fauna species that are critical to the livelihood of millions of people due to their ecological and economic importance (McKee et al. 2007, Bhowmik et al. 2022, Moore et al. 2022, Hamza et al. 2024). These coastal environments provide ecological and social benefits along tropical and subtropical coasts (Lee et al. 2014, Canty et al. 2022, Moore et al. 2022). Despite their crucial role in maintaining coastal biodiversity and providing essential ecosystem services, mangroves have suffered an alarming global loss, with estimates of at least 35% since the 1960s, due to their natural fragility and the impacts of human activity (Valiela et al. 2001, Bryan-Brown et al. 2020, Moore et al. 2022). The loss of cover and resulting fragmentation have also substantially affected the provision of ecosystem services (Feller et al. 2017).

Mangroves worldwide face diverse threats ranging from natural, such as climate change encompassing sea level rise and hurricanes (Schaeffer-Novelli et al. 2016), to anthropogenic drivers such as the expansion of aquaculture and agriculture, overlogging, salt extraction, human settlements, and coastal development (Valiela et al. 2001, Canty et al. 2018). These drivers have the potential to exacerbate the rate of mangrove deforestation, which results in the loss of critical functions such as nutrient cycling, coastal protection, and habitat provision for biodiversity, as well as the release of large amounts of CO2 into the atmosphere due to the decomposition of organic matter (Lovelock et al. 2017, Alongi 2018).

Between 1980 and 2005, approximately 3.6 million ha of mangroves were lost worldwide, representing 20% of global cover (FAO 2007). Current mangrove cover is estimated at 147,359 km² across 108 countries, with net losses of around 3.5% between 1996 and 2020 (Spalding and Leal 2021, Bunting et al. 2022). Specifically, Honduras has suffered one of the highest losses of mangrove cover (more than 20,000 ha; Carrasco and Caviedes 2014). On the Atlantic coast of Honduras (ACH), the main drivers of mangrove deforestation have been hurricanes, agriculture, urban expansion, and tourism infrastructure (Cahoon et al. 2003, Fickert and Grüninger 2010, Recio et al. 2016, Flores-Marin 2017, Tuholske et al. 2017, ICF 2022). On the Pacific coast of Honduras (PCH), aquaculture has been the main driver, as well as logging and salt production (Stanley 1998, Chen et al. 2013, ICF 2022).

The destruction of mangroves in Honduras has had serious consequences, such as altered drainage patterns, increased saline intrusion, and depletion of fish populations in the PCH and ACH (Thornton et al. 2003, Recio et al. 2016, Maya-Jariego et al. 2023). Ultimately, this loss has exposed the coast to erosion, flooding, and damage from extreme events. For example, mangrove responses to hurricanes on the Honduran islands of Roatán and Guanaja resulted in the disturbance and alteration of regeneration patterns (Cahoon et al. 2003; Fickert 2018, 2020). On the other hand, reports indicate that the presence of pollutants affects the soil of mangrove ecosystems and limits their development (Burgos-Bennett 2011, Davila-Chuga 2021). This phenomenon has been observed in fields of the African oil palm (Elaeis guineensis), which contribute chemical compounds with phosphorus and nitrogen to the environment. Furthermore, the arrival of cruise ships to Caribbean islands leads to the discharge of pollutants, which disrupt mangrove ecosystems (Burgos-Bennett 2011, Doiron and Weissenberger 2014, Canty et al. 2018).

In the Gulf of Fonseca, the expansion of shrimp farming has increased land use changes and land conflicts, which have led to socioecological problems, such as deterioration of water quality, degradation of land, disappearance of seasonal lagoons, and decline in fish populations (Dewalt et al. 1996, Stanley 1998, Stonich 1992, Acharya 2002). Shrimp farming, along with demographic development, has indirectly affected mangroves through hydrological alterations caused by road construction, which modified mixing of fresh and salt water (Dewalt et al. 1996). In this regard, the objectives of this study were to identify the main drivers of mangrove deforestation in Honduras based on the scientific literature, analyze changes in historical forest cover, and assess the current status of mangrove forests.

Materials and methods

Protocol and information sources

To conduct this review, we used the guidelines established in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for documenting systematic literature reviews (Moher et al. 2009). The main sources used for the search were Web of Science; Scopus; Directory of Open Access Journals (DOAJ); Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (REDALYC) (REDALYC); and Scientific Electronic Library Online (SCIELO). In addition, Google Scholar was used to collect gray literature, such as theses, technical reports, and management plans, which were incorporated into the review. Following the recommendation of Pullin and Stewart (2006), the inclusion of this type of document in systematic reviews helps reduce publication bias. The search period was from 1 January 1980 to 30 July 2024, with the objective of covering the largest amount of available evidence on the drivers of mangrove deforestation in Honduras. During this period, original articles, commentaries, books, book chapters, reports, and management plans relevant to the study were collected.

Eligibility criteria

The drivers of mangrove deforestation in Honduras were categorized using a systematic process based on a comprehensive analysis of the available scientific literature. This methodological approach allowed us to identify and classify the drivers that determine mangrove cover loss, using predefined criteria and thematic sets of keywords. The main classification criteria considered the intrinsic nature of the drivers, differentiating between those of natural origin and those of anthropogenic origin.

The initial bibliographic selection process identified 105 relevant sources, which were further filtered by applying 2 specific sets of keywords. These keyword sets were based on classifications defined by Bhowmik et al. (2022) and Hagger et al. (2022) and based on a priori knowledge of the main drivers of mangrove deforestation in Honduras.

In this sense, the identification of the main groups of drivers was based on a systemic approach that considered 2 broad categories: natural and anthropogenic drivers. The group of natural drivers refers to drivers originating in the natural environment, although they can be influenced by human activities. Conversely, anthropogenic drivers originate from human and socioeconomic actions and processes.

The first set of words included natural drivers classified into 2 main categories: “Climate Change,” characterized by variations in sea level, precipitation patterns, and temperature patterns; and “Tropical Cyclones,” characterized by abrupt natural disturbances, such as hurricanes, that occur mostly in the PCH region. The second set of words included anthropogenic drivers, categorized through a hierarchical process into 4 main groups: (1) aquaculture and agriculture (shrimp farming, African oil palm cultivation, and saltpeter works); (2) urbanization and development (settlement expansion, tourism infrastructure, and logging); (3) industrialization and pollution; and (4) water flow modification (water diversion, sedimentation, and hydroelectric dam construction).

In addition, the keyword set used both Spanish and English terms such as “mangroves” or “coastal wetlands,” combined with location terms such as “Honduras,” “Gulf of Fonseca,” “Pacific,” “Caribbean,” “Gracias a Dios,” “Colón,” “Cortés,” “Cayos Cochinos,” “Bay Islands,” and “Atlantis,” as well as specific location names such as “Útila,” “Roatán,” “Guanaja,” “La Mosquitia,” “Jeannette Kawas National Park,” “Barra de Cuero y Salado,” “Bacalar Lagoon,” “Cuyamel-Omoa,” “Guaimoreto Lagoon,” “Punta Izopo,” and “Karataska Lagoon.”

Studies and datasets containing information on the main drivers of mangrove deforestation in Honduras, as well as data on historical and current mangrove cover loss, were incorporated. Articles or documents that did not meet any of the selection criteria were excluded from further analysis. Specifically, documents that were unavailable or inaccessible, as well as those that were not relevant to the research objectives, were discarded. After the manual selection process, 92 documents that met the established criteria were included and considered for detailed analysis (Fig. 1).

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							Flowchart based on the Preferred Reporting Items for Systematic
								Reviews and Meta-Analyses (PRISMA) guidelines for the literature
								selection process in the systematic review to identify forest cover
								loss and its drivers in Honduran mangroves. Studies that included
								quantitative analyses were selected from the initial set of
								qualitative reviews.
Figure 1
Flowchart based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for the literature selection process in the systematic review to identify forest cover loss and its drivers in Honduran mangroves. Studies that included quantitative analyses were selected from the initial set of qualitative reviews.

Regarding the above, a thorough qualitative analysis of all bibliographic documentation was conducted. However, for the quantitative analysis of mangrove cover, only 41 documents provided spatially explicit and methodologically consistent data for ACH and PCH. The number of studies reporting each of the identified drivers of change, as well as their distribution by driver group, was quantified in the seven locations where the mangrove ecosystems are located.

Data analysis process

Changes in the Honduran mangrove cover between 1965 and 2024 were analyzed, based on 41 studies reporting cover in the PCH and ACH (Fig. 1). Forest area values were compared, and changes in cover were calculated, determining losses at the national level. The average annual mangrove deforestation rate was calculated using the model proposed by the Food and Agriculture Organization of the United Nations (FAO 1996), which quantifies the annual percentage change in mangrove cover at the beginning of each period analyzed. This methodology is widely used in studies of forest ecosystem dynamics and is expressed in the following equation:

e1 A n n u a l   r a t e   % = 1 - S 2 1 / t S 1 100 (1)

where t is the time period analyzed, S 1 is the initial mangrove surface (older) and S 2 is the final mangrove surface (more recent).

The time periods analyzed were determined through an exhaustive review of the available scientific literature, directly extracting data reported in previous studies. For the PCH, the study period spanned from 1965 to 2024 (59 years); for the ACH, the study period spanned from 1985 and 2024 (39 years). This chronological selection was based on the availability of consistent and comparable data, thus ensuring the reliability of the temporal analyses performed. The disparity in the length of the periods between the 2 regions reflects differences in the historical coverage of mangrove studies in each area.

To assess changes in mangrove forest cover and the conservation status of species associated with this ecosystem, data from global reference platforms were systematically integrated and analyzed. Cover dynamics were assessed using records from Global Mangrove Watch (GMW 2025) and the geoportal of the Instituto de Conservación Forestal de Honduras (ICF 2024). In addition, to assess the distribution and conservation status of the characteristic species of this ecosystem, we consulted the International Union for Conservation of Nature (IUCN) Red List of Threatened Species (IUCN 2025) and the native distribution dataset from Plants of the World Online (POWO 2025).

Mangrove ecosystems were mapped in 7 locations in Honduras, and natural and anthropogenic drivers of deforestation were identified and categorized. The thematic maps used in this study were created through a systematic classification process specifically designed for the objectives of the analysis. The cartographic databases used as the main input were obtained from the official geoportal of the Instituto Nacional de Conservación Forestal (ICF) using Quantum GIS v. 3.16.10. The number of research studies addressing each driver in the 7 locations with mangrove ecosystems was documented (Table 1), and the geographic zones in which these drivers interact were determined based on the literature. Finally, both natural and anthropogenic drivers were mapped at the national level using a chord dependency diagram.

Table 1
Natural and anthropogenic drivers of mangrove deforestation on the Pacific coast of Honduras (PCH) and on the Atlantic coast of Honduras (ACH). Values refer to the number of documents reviewed.
Anthropogenic drivers Natural drivers
Site Aquaculture and agriculture Urbanization and development Industrialization and pollution Flow modification Climate change Tropical cyclones
PCH
Valley and Choluteca (Gulf of Fonseca) 44 11 7 8 3 6
ACH
Cortés 12 13 8 7 5 5
Atlántida 12 12 7 9 6 5
Colón 6 9 8 7 4 5
Gracias a Dios 9 4 2 7 6 3
Bay Islands 2 17 10 17 8 14
Cayos Cochinos 1 5 3 4 6 5
Total 86 71 45 59 38 43

Results

Spatiotemporal distribution studies developed for the loss of mangrove forest cover in Honduras

Initially, 105 documents were identified according to the established search criteria. However, 10 of these documents were deemed unsuitable and were excluded from the final analysis. Furthermore, of the initial selection of 105 documents, 12 were subsequently excluded because they did not contain relevant information, and 1 document could not be retrieved because downloading was not permitted, which resulted in a total of 92 documents that met the requirements (Fig. 1). Data related to the loss of mangrove forest cover were found to be limited, especially in the ACH region (Cortés, Colón, Atlántida, Gracias a Dios, and Cayos Cochinos).

Regarding the research on the mangrove species in the 7 localities of Honduras and their current distribution, the bibliographic review enabled the documentation of the conservation status of 8 mangrove species and their differential distribution between the coasts of the country: 7 species in the PCH and 5 in the ACH (Table 2). Note that only 1 article mentioned the presence of Tea Mangrove (Pelliciera rhizophorae) in Honduras; most of the previous literature did not refer to the presence of this species in the ACH, because its presence in Honduran territory was unknown until 2018 (Sutherland and Pérez 2018).

Table 2
Number and distribution of mangrove species present on the Pacific coast of Honduras (PCH) and on the Atlantic coast of Honduras (ACH). The Valle and Choluteca sites together are considered the Gulf of Fonseca.
PCH ACH
Family Species Valley and Choluteca (Gulf of Fonseca) Gracias a Dios Atlántida Colón Cortés Bay Islands Cayos Cochinos
Rhizophoraceae Rhizophora mangle x x x x x x x
Rhizophora racemosa x
Rhizophora harrisonii x
Combretaceae Laguncularia racemosa x x x x x x x
Conocarpus erectus x x x x x x x
Acanthaceae Avicennia germinans x x x x x x x
Avicennia bicolor x
Tetrameristaceae Pelliciera rhizophorae x

According to IUCN criteria, 5 of these species were classified as species of “least concern.” It is worth noting that, although not registered for Honduras in the IUCN database, the Red Mangrove (Rhizophora racemosa) was documented both in POWO and in previous scientific studies (Jiménez 1987, Lizano et al. 2001, Castañeda-Moya et al. 2006). On the other hand, the Zapatero or Caballero Mangrove (Rhizophora harrisonii) was not evaluated by the IUCN; however, its presence in the country was confirmed in POWO. Among the threatened species, 2 had a status of vulnerable: the Bicolor Mangrove (Avicennia bicolor) (in the PCH) (Sanchez-Paez 2000, Castañeda-Moya et al. 2006) and P. rhizophorae (in ACH) (Sutherland and Pérez 2018).

The detailed analysis of the geographic distribution, which focused on the drivers of mangrove deforestation, showed that the majority of research studies focused on 2 main areas: the Gulf of Fonseca (n = 44) in the PCH and the Bay Islands (n = 33) in the ACH. Research has primarily focused on the Gulf of Fonseca due to its location as the epicenter of anthropogenic mangrove deforestation in Honduras.

Studies in the Bay Islands have focused on land-use changes due to urbanization, coastal development, and the impacts of tourism. Abundant research has been conducted in this region due to the presence of the second-largest coral reef in the world, which is a UNESCO World Heritage Site (Tuholske et al. 2015). Diving activity, real estate development, and tourism infrastructure have been the subject of studies focused on understanding their effects on the environment. This has highlighted the growing interest of the scientific community and policymakers in understanding the protective role that mangrove forests and reefs play in the face of the impacts of climate change and human activities (Cahoon et al. 2003; Lebigre et al. 2003; Canty 2007; McKee et al. 2007; Vanselow et al. 2007; Fickert and Grüninger 2010; Doiron and Weissenberger 2014; Tuholske et al. 2017; Fickert 2018, 2020). Regarding the distribution of studies in Honduras, 13% (n = 12) covered research in all locations where mangroves are found (Fig. 3).

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							Distribution of mangroves in 7 locations along the Pacific coast
								of Honduras (PCH) and the Atlantic coast of Honduras (ACH): Cortés
									(a), Atlántida (b), Útila
									(c), Roatán (d), Guanaja
									(e), Cayos Cochinos (f), Colón
									(g), Gracias a Dios (h), and Gulf of
								Fonseca (i) (Monserrate
									2017).
Figure 2
Distribution of mangroves in 7 locations along the Pacific coast of Honduras (PCH) and the Atlantic coast of Honduras (ACH): Cortés (a), Atlántida (b), Útila (c), Roatán (d), Guanaja (e), Cayos Cochinos (f), Colón (g), Gracias a Dios (h), and Gulf of Fonseca (i) (Monserrate 2017).
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							Geographic distribution of research studies of Honduran mangroves
								associated at the locality level.
Figure 3
Geographic distribution of research studies of Honduran mangroves associated at the locality level.

Historical and current loss of mangrove forest cover in Honduras

In Honduras, the loss of mangrove forest cover has exceeded 20,000 ha, with annual deforestation rates of 1.27%. Approximately 52% of the mangroves that once existed in Honduras have disappeared. Marked variability in deforestation rates was recorded along the PCH, with a particularly high impact in the Gulf of Fonseca (Fig. 4; Table 3). In this region, the mangrove deforestation rate reached 1.51% per year, similar to the value observed in Gracias a Dios (1.39% per year), but lower than that recorded in Cortés (2.62% per year).

Table 3
Rates of forest cover loss of mangrove forests on the Atlantic coast of Honduras (ACH) (1985-2024) and Pacific coast of Honduras (PCH) (1965-2024).
Coast Region Historical surface (ha) Current surface (ha) Area of lost mangrove (ha) Annual deforestation rate
PCH Valle y Choluteca (Golfo de Fonseca) 91,800.00 37,390.25 54,409.75 1.51%
Islas de la Bahía 2,874.00 2,318.72 555.28 0.54%
Gracias a Dios 23,995.00 13,735.00 10,260.23 1.39%
ACH Atlántida 4,464.91 3,950.11 514.80 0.31%
Colón 4,782.00 3,134.00 1,648.45 1.05%
Cortés 2,104.00 726.17 1,377.83 2.62%
Total 130,019.91 61,253.57 68,766.34 1.27%
*For the mangroves of Cayos Cochinos, there are no historical or current estimates of forest cover. Only a density of 1,140 trees per hectare has been estimated (García-Salgado et al. 2006) (Supplementary Material, Figure S6).

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							Historical loss of the forest cover of Honduran mangroves by
								locality. Together, the localities of Valle and Choluteca are
								considered the Gulf of Fonseca.
Figure 4
Historical loss of the forest cover of Honduran mangroves by locality. Together, the localities of Valle and Choluteca are considered the Gulf of Fonseca.

The main changes in land use that have led to mangrove replacement were identified based on the literature. In the PCH, shrimp farming and salt farms emerged as the most important land uses, as did the presence of other types of crops and urbanized areas. On the other hand, in the ACH, conversion to agriculture was important at the regional level. In Gracias a Dios, livestock and agricultural land and agroforestry occupied considerable areas. The towns of Atlántida, Colón, and Cortés, African palm fields covered large areas that, along with urban and industrial areas, dominated land use. It is important to mention that numerous hydroelectric plants were located in these towns, which have caused sediment retention and, consequently, coastal erosion (Carrasco and Caviedes 2014). In the Bay Islands, cultivated fields also occupied large areas, especially in Útila. Urbanized areas were larger in Roatán, where coastal development occurred as a result of the tourism industry (Figs. 5, 6).

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							Dominant land uses that have affected mangrove areas on the
								Pacific coast of Honduras (PCH) and the Atlantic coast of Honduras
								(ACH) in 2024.
Figure 5
Dominant land uses that have affected mangrove areas on the Pacific coast of Honduras (PCH) and the Atlantic coast of Honduras (ACH) in 2024.
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							Group of identified natural and anthropogenic drivers of mangrove
								deforestation in Honduras.
Figure 6
Group of identified natural and anthropogenic drivers of mangrove deforestation in Honduras.

Socioecological drivers of mangrove deforestation in Honduras

The spatial patterns of natural and anthropogenic drivers varied markedly between the ACH and PCH regions. In the Bay Islands, deforestation was primarily associated with coastal tourism development and hurricane disturbances (Fickert 2018, 2020); in the continental areas of the ACH and PCH, aquaculture, agriculture, and urban expansion predominated (Fig. 7). These findings were consistent with the reviewed literature, which identified human activities as the most significant drivers of mangrove loss. The interaction between natural and anthropogenic drivers suggests a negative feedback scenario, where environmental disturbances increase ecosystem susceptibility to anthropogenic pressures, thus accelerating its degradation.

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							Chord dependency diagram among the groups and subgroups of
								drivers of mangrove deforestation in Honduras. The scale shows the
								number of studies that indicate the interaction between the driver
								and the location.
Figure 7
Chord dependency diagram among the groups and subgroups of drivers of mangrove deforestation in Honduras. The scale shows the number of studies that indicate the interaction between the driver and the location.

Discussion

Decrease in mangrove cover in Honduras

The literature on mangrove cover changes in Honduras (41 studies) spanned 5 decades for the PCH and 3 for the ACH, revealing a significant human footprint. Sixty-one percent of the mangroves were found in the PCH (Gulf of Fonseca) and the remaining 39% were distributed in the ACH (Cortés [1.19%], Atlántida [6.45%], Colón [5.12%], Gracias a Dios [22.42%], and Bay Islands [3.79%]). Of the literature reviewed, 62% studied ACH localities, which experienced a 38% loss of the national historical mangrove cover (Carrasco et al. 2013a, Carrasco et al. 2013b, Rivera-Monroy et al. 2013, Carrasco and Caviedes 2014, Flores-Marin 2017, Tuholske et al. 2017, Davila-Chuga 2021, Flores-Bueso 2022, ICF 2022). This is similar to what was reported for the PCH, which experienced the greatest loss of mangroves, with a 41% decrease of the historical cover, being the highest nationwide (Sanchez-Paez and Guevara-Mancera 2000, Wilburn-King 2008, Chen et al. 2013, Carrasco and Caviedes 2014, ICF 2022).

The results revealed a 52.9% loss of Honduran mangroves in recent decades (~68,766 ha), with an average annual rate of 1.27% (~1,166 ha·y-1). These figures exceed the global average of annual mangrove loss (0.16-0.39%; Hamilton and Casey 2016), highlighting Honduras as a deforestation hotspot. Of the 52.9% mangrove loss, 79% corresponds to the Gulf of Fonseca mangroves in the PCH and the remaining 21% to the ACH mangroves (Table 3). At the national level, mangrove cover was reduced by 54,409.75 ha in the PCH at a rate of 922.19 ha·y-1 and 14,356.59 ha in the ACH at a rate of 368.11 ha·y-1 (Table 3).

The loss of mangroves in Honduras reflects a more accelerated environmental crisis than in other tropical countries. For example, mangrove deforestation in the Colombian Pacific was estimated at a loss of 14% between 1984 and 2020 (Murillo-Sandoval et al. 2022), whereas in Honduras the loss was 52.9%. This discrepancy could be explained by the lack of effective conservation policies, such as those implemented in Brazil, where the establishment of protected areas has mitigated the pressures causing mangrove deforestation (Figueiroa et al. 2016, Medeiros et al. 2023). The data from Gracias a Dios (1.39% annually) are also worrying, as this region is home to the second largest mangrove area in the country. Here, mangrove degradation has been attributed to illegal logging and the expansion of livestock ranching (Burgos-Bennett 2011, Davila-Chuga 2021), which are recurring problems in areas with poor environmental governance (Supplementary Material Figure S7).

In general, the main drivers of mangrove loss in Honduras are anthropogenic: aquaculture in the PCH and agriculture and infrastructure in the ACH. Climate change and extreme events are also important factors, especially in Cortés and the Bay Islands (Cahoon and Hensel 2002, Vanselow et al. 2007, Fickert and Grüninger 2010, Fickert 2018, Fickert 2020). The loss of mangrove area due to human activities implies a reduction in ecosystem services specific to each location. If deforestation continues at an accelerated rate, the negative impacts on biodiversity and the provision of environmental services will be more evident.

Environmental drivers

Climate change

Of the literature reviewed, 9% identified environmental factors as drivers of mangrove decline in Honduras, including coastal erosion, increased salinity, ocean acidification, temperature changes, rising sea levels, and variations in precipitation (Table 3). These factors, associated with climate change, affect the hydroperiod, regeneration, growth, composition, and spatial distribution of mangroves (Field 1995). For example, rising temperatures have been found to increase water vapor deficits, reducing mangrove growth and survival (Adame et al. 2021). Furthermore, rising sea levels have caused flooding and erosion, which increases mangrove vulnerability. On the other hand, reduced precipitation has been observed to decrease photosynthesis, productivity, and reproduction, whereas high rainfall causes flooding that deposits sediments, suffocating mangroves. These changes in sedimentation, turbidity, and salinity significantly influence the growth and distribution of mangroves, which highlights the complex interaction between climatic factors and the health of these ecosystems (Friess et al. 2022).

Sea level rise has been identified as the primary threat to mangroves in Honduras. Studies in Puerto Cortés and Puerto Castilla revealed increases of 8.9 mm·y-1 and 3.2 mm·y-1, respectively, between 1940 and 1970 (Aubrey et al. 1988, Ellison and Farnsworth 1996). A USAID study (2012) confirmed these data, showing increases of 9.2 mm·y-1 in Puerto Cortés (1945-1975) and 3.1 mm·y-1 in Puerto Castilla (1954-1970). In Cuyamel-Omoa, mangrove cover showed an 80% decrease as a result of the impact of waves (ICF 2012). The most affected areas were Trujillo (Colón), Brus Laguna (Gracias a Dios), and the Bay Islands, with increased coastal erosion, except in the Bay Islands (USAID 2012, Carrasco et al. 2013a, b).

These locations, with the exception of the Bay Islands, have shown an increased coastal erosion (Carrasco and Caviedes 2014). In the Gulf of Fonseca, sea level has risen approximately 50 cm, leaving the coast vulnerable due to mangrove deforestation (Fig. 8) (Del Cid-Gómez and Cáceres 2017). Although mangrove loss due to climate change in Honduras has not been quantified, it is likely significant, which creates the need for further research in this area.

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								Impact of sea level rise on the coastal infrastructure of
									Cedeño, Pacific coast of Honduras (PCH). Submerged
									infrastructure due to sea level rise (a) and
									coastal erosion labeled in red and local businesses destroyed by
									sea level rise (b).
Figure 8
Impact of sea level rise on the coastal infrastructure of Cedeño, Pacific coast of Honduras (PCH). Submerged infrastructure due to sea level rise (a) and coastal erosion labeled in red and local businesses destroyed by sea level rise (b).

Tropical cyclones

Honduran mangroves are particularly vulnerable to tropical cyclones due to their geographic location. These events affect mangroves through sediment deposition, wind damage, and submersion (Krauss and Osland 2020). Ten percent of the literature mentioned the impact of hurricanes, especially in the Bay Islands. Historically, 101 tropical storms and hurricanes have affected Honduras. Hurricane Mitch in 1998 was particularly devastating, causing significant losses in the mangroves of Trujillo, Colón. In the Bay Islands, especially Roatán and Guanaja, stands of mangrove trees with high mortality have been observed as a result of substrate collapse from the breakdown of mangrove peat (Doyle et al. 2002, Cahoon et al. 2003). Hurricane Mitch reduced mangrove forests by 37% in Roatán and by 97% in Guanaja, demonstrating the severe impact of these events on mangrove ecosystems (Supplementary Material Fig. S1) (Cahoon et al. 2003; Fickert 2018, 2020; Canty et al. 2022).

Although Hurricane Mitch did not directly impact the Gulf of Fonseca, mangroves were affected by debris flows and sediment accumulation (McKee and McGinnis 2003). Some were buried under layers of sediment up to 100 cm deep, carried by river floods from the upper basin (Cahoon and Hensel 2002). In the central Gulf, there was massive tree mortality, canopy damage, and changes in elevation and soil properties (Cahoon et al. 2003, Hensel and Proffitt 2003, McKee and McGinnis 2003). In the southern region, a storm surge caused flooding and sediment deposition (Rivera-Monroy et al. 2002). In general, little attention has been paid to the consequences of hurricanes on mangroves, and the reduction in forest cover in ACH and PCH has not been quantified. The increased frequency of these events could limit the recovery time of mangroves, increasing the risk of permanent loss.

Anthropogenic drivers

Aquaculture and agriculture

Aquaculture and agriculture are the main drivers of mangrove deforestation, with aquaculture accounting for 47% of global mangrove loss in the 20th century (Friess et al. 2019, Goldberg et al. 2020, Bhowmik et al. 2022). In the PCH, the expansion of shrimp farming and saltpeter works has been the main cause of mangrove loss since 1965. In 1973, the expansion of shrimp farms resulted in the loss of 2,132.5 ha of dense forests (Dewalt et al. 1996). Between 1982 and 1992, shrimp farming occupied 11,515 ha, including 4,307 ha of mature, stressed, or dwarf mangroves (Ramirez 1994, Páez-Osuna 2001). Wilburn-King (2008) reported a loss of 3,733 ha of mangroves between 1989 and 1998 due to the production of salt and shrimp. Chen et al. (2013) reported that approximately 11.9% of mangroves were lost between 1985 and 2013, primarily due to shrimp farming (Supplementary Material Fig. S2) (Recio et al. 2016, Son et al. 2017). These data demonstrate the significant impact that human activities, such as shrimp farming, have had on the decline of mangrove forests over time in the PCH. Furthermore, sites in this area are considered to be particularly susceptible to the effects of climate change and human activities (Bhomia et al. 2016, Maya-Jariego et al. 2023).

Agricultural intensification has contributed to mangrove loss in the ACH. In particular, the main threats included the development of African palm plantations, land use change to pasture, and agriculture, which occupy approximately 140,000 ha, much of which used to be wetlands (Carrasco and Caviedes 2014, Flores-Marin 2017, Davila-Chuga 2021). A notable case is La Másica, Atlántida, where around 12 km2 of forested wetlands, including mangroves, were lost (Carrasco et al. 2013c). In the same area, socioeconomic activities have destroyed more than 500 hectares of mangroves. In Colón, the expansion of the African palm has led to the reduction of these forest areas; in Gracias a Dios and Cortés, livestock farming and technological agriculture have also had a negative impact (Burgos-Bennett 2011, Davila-Chuga 2021). In contrast, these activities have caused less damage in the PCH, although agriculture and aquaculture in the middle and upper basins produce pollutants that affect the development of mangrove ecosystems (Osorto-Nuñez 2022, Osorto-Nuñez et al. 2023).

Industrialization and pollution

Industrialization and pollution are key factors in the loss of mangrove cover (Zhang et al. 2014). Since 1995, organochlorine pesticides (e.g., carbofuran and propiconazole) have been detected in the Choluteca River, which flows into the Gulf of Fonseca, evidencing the damage that chemical pollutants cause to mangroves (Kammerbauer and Moncada 1998, Meyer 1999, Osorto-Nuñez 2022, Maya-Jariego et al. 2023). In the Bay Islands, discharges of organic matter from industrial waters have promoted the growth of calcareous green algae, which threaten these ecosystems. Furthermore, the cruise ships that arrive in this region have also contributed to pollution (Canty 2007, Carrasco et al. 2013d, Doiron and Weissenberger 2014). In Colón, the mining industry has caused mangrove destruction due to excessive sedimentation and the presence of heavy metals in the water and soil (Burgos-Bennett 2011). In the Sula Valley, approximately 150 of the 380 industries have produced problematic effluents that contaminate the Ulúa and Chamelecón rivers with mercury, lead, and arsenic (Marin and Hernandez 2002). Unfortunately, the accumulation of metals, such as copper and zinc, has become a global driver of mangrove deforestation (Sruthi et al. 2016, Bhowmik et al. 2022).

Urbanization and development

Of the studies reviewed, 37% indicated that urbanization and development are key drivers of mangrove deforestation in Honduras. Activities such as logging and the construction of settlements, roads, and tourism infrastructure have significantly reduced forest cover. In Roatán, between 1985 and 2015, the development of hotel infrastructure and the expansion of the airport increased the urban area by 982.8 ha, with 224.1 ha of mangroves converted to urban areas (Supplementary Material Fig. S3) (Carrasco et al. 2013d, Doiron and Weissenberger 2014, Tuholske et al. 2015, Tuholske et al. 2017). In Útila, the urban area grew from 118 ha in 2014 to 231 ha in 2021, affecting the southern mangroves (Flores-Bueso, 2022). In Tela, Atlántida, tourism development has put additional pressure on mangroves (Stovall 2015). In addition, population growth and hotel infrastructure have fragmented wetlands and altered the hydrological regime, exacerbating the loss of these vital ecosystems.

The extraction of mangrove wood has had an important impact on the loss of forest cover, especially in the Gulf of Fonseca, where wood and bark are used as energy sources (Alfaro-Trejos 2011, Maya-Jariego et al. 2023). Between 1983 and 1986, the use of mangrove wood for fuel exceeded 80,000 m3·y-1 to 120,000 m3·y-1 (Jiménez 1992). From 1983 to 1989, 34,200 m³ of firewood and 5,340 m³ of timber were extracted, and consumption increased from 3,644 m3·y-1 to 4,212 m3·y-1 between 1986 and 1995 (Jiménez, 1999, Sanchez-Paez and Guevara-Mancera 2000, CONGESA 2001). According to Dewalt et al. (1996), this represented the use of 250 to 350 ha of mangroves annually. In the Gulf of Fonseca, 85% of households relied on wood for energy and construction of housing (Supplementary Material Fig. S4). In addition, industries such as bakeries and brickyards also use wood as a primary resource. In Roatán, logging has reduced the frequency of the Buttonwood Mangrove (Conocarpus erectus); this activity is also carried out in Cuyamel-Omoa for domestic and commercial purposes, highlighting the impact of timber extraction on these ecosystems (ICF 2012, Carrasco and Caviedes 2014).

The expansion of human settlements and urbanization have significantly impacted mangroves in Honduras, especially in Útila (Supplementary Material Fig. S5). As observed in Atlántida, water pollution is a critical problem in Útila, where sewage contributes phosphorus to the mangroves (Carrasco et al. 2013d). In Colón, the accumulation of garbage and solid waste has severely affected these ecosystems (Burgos-Bennett 2011). In the Gulf of Fonseca, sewage discharges and solid waste accumulation have negatively impacted mangroves (Supplementary Material Fig. S4) (Maya-Jariego et al. 2023). In Cortés, settlements near Los Micos Lagoon have contaminated the soil and surface water (Carrasco et al. 2013b). Similarly, in the Bay Islands, especially in Útila, mangrove loss has been caused by sewage, logging, and the accumulation of waste from urban expansion (Carrasco et al. 2013d, Carrasco and Caviedes 2014). In Gracias a Dios, urbanization has contributed to logging and soil erosion, posing threats to mangroves (Davila-Chuga 2021). These factors highlight how urbanization has jeopardized the integrity of Honduran mangroves.

Flux modification

The modification of the water flux in the upper basin has been shown to decrease mangrove productivity (Bhowmik et al. 2022). According to projections based on previous scientific literature, dam construction in Honduras has had negative impacts on mangrove forests and has altered their ecological balance. The main consequences include sediment and nutrient retention, increased salinity in coastal areas, and the intensification of erosion processes (Morais and Pinheiro 2011). For example, in Balfate, Colón, a dam has altered the morphology and hydrodynamics of the river, which resulted in sediment retention (Carrasco and Caviedes 2014). In the Barra de Cuero and Salado Wildlife Refuge, hydroelectric projects are planned for 11 rivers, which could modify the natural hydrological regime and decrease the primary productivity of mangroves (Carrasco et al. 2013c). The Patuca III hydroelectric dam, in Gracias a Dios, could increase the salinity of the lagoons by reducing the contribution of water and sediment from the Patuca River, putting the mangroves at risk (Carrasco and Colindres 2011, Carrasco et al. 2013a). In Jeannette Kawas National Park, the hydrological regime has changed by 80% due to the channeling and draining of several rivers, highlighting the importance of considering these effects when planning hydroelectric projects to preserve these coastal ecosystems.

In general, our study, based on a synthesis of scientific literature, shows an intermediate value. The differences could reflect variations in the reference years, since the studies are not completely simultaneous, or in the spatial delimitation of the areas assessed. For example, the ICF (2024) could have incorporated recent restoration areas not accounted for in the GMW, whose version 3.0 dates from 2022. Likewise, the heterogeneity in the operational definitions of “mangrove” such as the inclusion or exclusion of associated salt marshes introduces variability.

Discrepancies in the current mangrove cover (61,253.57 ha) compared to that of the GMW (60,564 ha) and the ICF (61,639 ha) can also be attributed to methodological, technological, and temporal factors. First, the Sistema de Información para la Gestión y Monitoreo Forestal (SIGMOF 2024) reports that forest cover for 2024 was estimated with a declared accuracy of 92% and a margin of error of 8%, using multi-source data from the Sentinel-1 (radar) and Sentinel-2 (optical) satellites. This approach, which combines optical and radar sensors, has enabled a more robust classification in the face of adverse weather conditions (e.g., cloud cover), which could explain its slightly higher estimate.

The GMW, on the other hand, uses L-band Synthetic Aperture Radar (SAR) data, developed under the Kyoto & Carbon initiative of JAXA. This technology is notable for its sensitivity to woody biomass and its ability to monitor mangroves in areas with frequent cloud cover (Lucas et al. 2014). However, as mentioned by Bunting et al. (2018), this technology has inherent limitations in discriminating mangroves from other woody vegetation covers (especially terrestrial forests and crop fields) on continental margins, which can lead to classification errors. Furthermore, the GMW uses a canopy cover threshold of 10% to define “mangrove,” whereas the ICF could apply more inclusive criteria, such as including areas undergoing regeneration.

GMW version 2.0 (Bunting et al. 2019), currently considered the global reference standard due to its spatial resolution (25 m) and temporal update, optimized its methodology by integrating Landsat optical data to improve the accuracy in the delimitation of mangrove extent. However, as demonstrated by Thomas et al. (2014, 2018), L-band SAR sensors, while optimal for detecting temporal changes, have limited capabilities for accurately classifying absolute extent, particularly in regions with complex ecotonal gradients. This technical limitation adds to the global challenges documented in mangrove datasets, which include: (1) unmapped areas due to sensor failures (e.g., scan line error in Landsat 7 ETM+), (2) uneven temporal availability of images, and (3) interference from persistent cloud cover (Spalding 2010, Giri et al. 2011, Bunting et al. 2018).

The discrepancy in the results, although showing little difference in cover compared to GMW v. 2.0 (2020) and ICF (2024), could be attributed to differences in classification algorithms and variability in the quality of input data used by the various studies found in this research. This uncertainty underscores the need to implement standardized protocols that integrate complementary technologies to improve accuracy at local scales. The findings presented in this study emphasize that, while GMW represents a significant advance in global mangrove monitoring, its application to national-scale studies requires in situ validation and specific methodological adjustments that consider the biogeographical characteristics of each region.

Conclusions

This review provides a synthesis of the drivers of mangrove forest cover loss in Honduras. The 52.9% decline in mangrove cover in Honduras over the past few decades significantly exceeded the global average rate of deforestation, positioning the country as a hotspot for mangrove loss. This severe decline, with an average annual rate of 1.27%, has been driven by a complex interplay of factors, with anthropogenic pressures emerging as the primary catalysts on both coasts. Specifically, the expansion of aquaculture in the PCH (Gulf of Fonseca) and, in parallel, tropical cyclones, agricultural intensification and infrastructure development in the ACH, represent the most important threats.

It is essential to implement strict monitoring and conservation measures, focusing on the most affected areas, while prioritizing comprehensive research in data-deficient regions, such as Gracias a Dios and Cayos Cochinos, to establish an accurate baseline of the extent and condition of their mangroves. This initial synthesis quantifies loss rates and elucidates the socioecological drivers of deforestation, laying the groundwork for future research employing advanced remote sensing methodologies and predictive models. Combined with high-resolution multispectral remote sensing and systematic field sampling, these approaches, which enable more precise and dynamic monitoring of mangrove cover, will reduce current margins of error and generate the robust information needed for the sustainable management of these critical ecosystems. Ultimately, integrating robust conservation policies with effective environmental governance will be fundamental to mitigate anthropogenic and natural impacts and ensure the resilience and continued provision of ecosystem services that these critical ecosystems provide to coastal communities and the biodiversity of the country.

Acknowledgments

We thank Alexandra Bonilla for her valuable assistance during the field visits to the mangroves in the Gulf of Fonseca area, Jorge Funez for his support in capturing photographs, María Fernanda Flores-Bueso for her collaboration with the images of the mangroves in Utila, and the reviewers who helped to improve the manuscript substantially. We thank the Mesoamerican Reef Fund (MAR Fund) for its financial support for the translation of this article.

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