Mangrove Species Research Articles

Variation in Annual Ring and Wood Anatomy of Six Tree Mangrove Species in the Nicoya Gulf of Costa Rica

There is limited information regarding the adaptation of anatomical features and growth ring formation to ecological site conditions in Costa Rican mangrove trees. We used the methods and principles of ecological anatomy to explore the relationship between wood properties (e.g., ring formation, anatomical characteristics) and ecological factors for six mangrove tree species growing in three sites in the Gulf of Nicoya in Costa Rica. We found that variations of ecological conditions affected the growth ring formation of Avicennia bicolor, Avicennia germinans, Pelliciera rhizophorae and two species of Rhizophora but not Laguncularia racemosa. Site conditions affected the anatomical features of the mangrove tree species. Ray dimensions (height and width) were the factors most affected, which were followed by the frequency, diameter, and length of vessels. The fiber dimensions, green density, specific gravity, and carbon content were also affected by the site conditions. The plasticity in ray (increasing of ray dimension) and vessel elements (multiple vessels) facilitate efficient hydraulic conductivity amidst negative growth conditions and physiological restrictions for mangrove trees. We hypothesize that soil salinity, freshwater inputs and intertidal flooding influence these changes. Laguncularia racemosa presented the most changes in anatomical features across the different sites, followed by Pelliciera rhizophorae, with identical changes between Avicennia and Rhizophora spp. Finally, site salinity and wave energy affected the highest number of anatomical changes in mangrove tree species, including 38 changes in the wood structures in site 1.

Vegetative Propagation in Selected Mangrove Species of Kerala

Vegetative Propagation in Selected Mangrove Species of Kerala

Integrating a High-Resolution Canopy Height Model With a Sentinel-1/2 Fused Product in Google Earth Engine for Mangrove Species Mapping in the Caroni Swamp

Integrating a High-Resolution Canopy Height Model With a Sentinel-1/2 Fused Product in Google Earth Engine for Mangrove Species Mapping in the Caroni Swamp

Distinct molecular responses of mangrove plants to hypoxia and reoxygenation stresses contribute to their resilience in coastal wetland environment

Mangroves adapt to periodical submergence and constitute resilient ecosystems in coastal environments. The question is whether they can sustain long submergence stress when sea level rises as a consequence of climate change. To address this, seedlings of two representative mangrove species that acclimate to low to mid tide (Avicennia marina) and mid to high tide (Kandelia obovata) conditions were treated with continual submergence for 7 days as extended hypoxia, or semi-diurnal cyclic submergence and reoxygenation for 7 days. At specific time points, leaves were collected to construct RNA-Sequencing libraries for gene expression analysis. Through the lens of transcriptome, the initial response of A. marina to submergence was mild but more dramatic after prolong immersion. However, the initial response of K. obovata was drastic and reduced in latitude later, suggesting distinct species-specific responses. After adapting to diurnal cycles, both species minimized transcriptome fluctuations similarly. Metabolically, during initial response, sucrose and starch were converted into glucose for fermentation to increase glycolytic flux, coupled with regeneration of NAD+. The energy amelioration was accompanied by longer term phytohormone regulations where ethylene signal transduction pathway was enhanced, but abscisic acid biosynthesis was reduced. Notably, gibberellic acids biosynthesis increased in A. marina but decreased in K. obovata as a unique feature. Genomic level analysis indicated that only about 30 % of the conserved plant submergence responsive genes were expressed during submergence in these mangroves. The function of an ethylene responsive gene was validated in transgenic Arabidopsis. This research elucidates distinct molecular mechanisms and metabolic pathways that empower A. marina and K. obovata to endure prolonged submergence and hypoxia. By highlighting their unique adaptive strategies in response to rising sea levels, these findings enhance our understanding of mangrove resilience and provide insights for the conservation and management of these essential coastal ecosystems in the face of climate change.

Mangroves and Associated Flora of Vashista Godavari Estuary from Darbharevu to Biyyaputippa, West Godavari District, AP, India

Mangrove ecosystem is one of the productive ecosystems in aquatic environment. Mangrove populations occurring along the Vashista branch of Godavari River were studied using line transect with 16 m² quadrates and the quadrate samples were analyzed. In the present investigation a total of 16 mangrove species were reported, out of which four are true mangrove species, six associated mangroves and six halophytes were reported. Transect studies revealed that mangroves were distributed up to 10 to 20 meters in Darbharevu and 30 to 40 meters in Biyyaputippa region. Most of the forest in Darbharevu is in form of long strip and in Biyyaputippa forest extends and density of species was high than Darbharevu. In both study sites (Darbharevu and Biyyaputippa) the species with the highest density was Suaeda monoica whereas the species with lowest density was Sonneratia caseolaris. The maximum height in these two stations varied from 5 to 10 meters only. Percentage frequencies of DBH (Density at Breast Height) classes were estimated. In the present study only two diameter classes in Darbharevu and 4 classes in Biyyaputippa were reported. This is an indicative of the small and bushy mangrove vegetation in station 1 and little bit larger canopy was reported in station 2. Anthropogenic and aqua industry play a critical impact on the survival of this mangrove ecosystems.

Kawasan Konservasi Mangrove sebagai Penggerak Ekonomi Masyarakat Desa Budeng Kabupaten Jembrana Bali

Budeng Village, located in Jembrana Regency, is home to a significant mangrove conservation area featuring 32 species of mangroves with substantial potential for utilization. Conservation activities in this region are led by the Wana Merta Group, which aims to engage the local community of Budeng Village in these deeds. However, the residents have yet to show much interest due to the lack of perceived economic benefits from conservation activities. The purpose of the community service activities conducted in Budeng Village is to enhance the knowledge and skills of the community in transforming mangroves into economically valuable enterprises. These activities comprised three stages: technical guidance, training sessions, and questionnaire distribution. The activities were attended by 15 participants from the Wana Mertha Forest Farmer Group (KTH), which manages the mangrove conservation area in Budeng Village. The technical guidance included institutional strengthening materials for the group. The training sessions covered topics such as mangrove product diversification, processing Brugueira sp. into mangrove chips, processing Xylocarpus granatum into scrubs, processing shrimp and fish into siomay, as well as packaging and digital marketing to support the group's business endeavors. Throughout the technical guidance and training, participants actively engaged in discussions and followed the sessions diligently. The questionnaire results indicated a significant increase in participants' knowledge, from 40% to 73.76%, reflecting an improvement of 34.67% after the activities.

Designing e-modules on mangrove species diversity leveraging local potential through pbl to foster environmental attitudes

This study aims to develop e-modules of mangrove species diversity as local potential in learning. The development model used is the Lee & Owens (2004) development model. There are five phases in the development of research, namely the analysis, design, development, implementation and evaluation. The used learning model is Problem-Based Learning by presenting authentic mangrove problems in Banten. The e-module that has been developed will be tested for validity, practicality and effectiveness so that it can be disseminated for student learning activities. E-modules are tested for validity by conducting a 100% material expert validation test, 98.77% media and teaching material validation results and 100% validation results from field practitioners. Before being used in learning, the e-module was tested for practicality with a one-on-one trial getting a score of 93.33%, a small group trial of 89.41%, a field trial of 86.2% and a field test of 95.04%. Based on the results of student response testing, it can be concluded that the e-module of mangrove diversity is practically used in learning. The results of effectiveness testing to see the improvement of students' environmental attitudes were analyzed. The results of effectiveness testing to see an increase in students' environmental attitudes are measured qualitatively with an N-Gain measurement of 0,46 which is included in medium effectiveness and quantitatively measured using a simple paired t test with p-value of 1.88 which means there is a significant difference before and after using e-module in learning.

Comparison of the Potential of Mangrove Forests as an Estimate of Carbon Stocks : A Review

Global warming is an increase in carbon dioxide gas (CO2) and other gases in the earth's atmosphere, which will make the earth's atmosphere retain more heat coming from the sun. This study aimed to determine the highest carbon stock ratio from various areas with mangrove forest areas. This research was conducted using the grid route method by collecting data from a literature study from different locations in the mangrove forest. The research results obtained that the highest average carbon stock in various regions of Indonesia which has the highest mangrove forest conservation is the Mangrove Area in Pasar Banggi Rembang Village of 737.2 tons/ha with three stations whose species names consist of Rhizophora apiculata, Rhizophora stylosa, and Rhizophora mucronata. High and low carbon content, density, and mangrove species in mangrove leaf litter were influenced by the rate of litter production. This production rate will later affect the high low carbon content in mangrove leaf litter.

Analysis of Mangrove Forest Management in Teluk Lembar, West Lombok, Indonesia

Mangrove forests in Teluk Lembar, West Lombok, have an important role in ecological balance and socio-economic benefits. However, these ecosystems face pressure from land conversion for ponds, illegal logging, and pollution. This study aims to describe the condition of mangroves, analyze the socio-economic aspects of the community and the role of stakeholders, assess the value of direct benefits of mangroves, and formulate sustainable management strategies. The results showed significant biodiversity, with 14 species of mangroves and 53 species of fauna, including 44 species of birds. The bird ecological index showed diversity (H') 32, uniformity (E) 0.8, and dominance (D) 0.7, which signified ecosystem stability. However, a serious threat comes from the conversion of land for ponds, houses, factories, and ports. Of the 1703.19 ha of the total area area, only 179.44 ha (10.54%) of mangrove forests remain. Waste pollution, such as mercury and copper levels that exceed the limit, also negatively impacts the ecosystem. Based on the SWOT analysis, the proposed mangrove management strategy includes: (a) strengthening community capacity in mangrove management through training and education, (b) increasing collaboration between stakeholders to strengthen regulation and law enforcement, (c) optimizing economic benefits through the development of mangrove-based ecotourism, and (d) implementing sustainable management practices to maintain a balance between conservation and utilization

Local Use of Mangroves on the Coast of Southeastern México

Mangroves are essential for the well-being of the inhabitants of coastal areas, who have extensive knowledge about the use and exploitation of this resource. However, this knowledge is decreasing, which could trigger negative repercussions for this ecosystem. Ethnobiological investigations make it possible to gather information on the use, management, and exploitation of this resource. Hence, this paper presents a study that is framed around the coastal area of the state of Tabasco, in southeast México, and consists of 74 semi-structured interviews that were carried out, while the local relevance of each mangrove species was evaluated using ethnobiological indices. Three species of mangrove were identified, Avicennia germinans, Laguncularia racemosa, and Rhizophora mangle, and the latter species had the highest Use-Value (UV) Index value of 6.08. A total of 27 forms of forestry use were found, 11 for non-timber use and 16 for timber use. Firewood stood out as the main use with 12.6%, while the use of needles to make cloth and crafts represented the lowest percentage with 0.3%. The uses given by the coastal population to the mangroves and their respective species were influenced by immediate needs and specific characteristics of each species. To ensure the sustainability of mangroves, it is essential to design environmental strategies that integrate local ethnobiological knowledge and promote the active participation of direct users of this ecosystem. These strategies should be incorporated into public conservation policies, recognizing the cultural and economic value that mangroves hold for local communities. By implementing these actions, the relationship between communities and their environment will be strengthened, laying the groundwork for further exploration of coastal ethnobiology.

Phytochemical Associes of Fungal Endophytes in Nigeria Riverine Mangrove Ecosystem

The interaction between endophytic fungi and phytochemicals in the dominant mangroves (Rhizophora mangle, Lacugularia racemosa, and Avicennia africana) of the Iko River Estuary in Nigeria was investigated. Standard analytical procedures were employed to measure antioxidant levels, while endophytic fungi were isolated, morphologically characterized, and identified using culture-dependent methods. The study identified various bioactive compounds, including alkaloids, saponins, tannins/phenols, flavonoids, deoxy-sugars, cardiac glycosides, and steroids, with their concentrations varying depending on the mangrove species and plant parts. Alkaloids were present in all mangrove samples, with particularly high concentrations in the leaves of white (5%) and red (4.2%) mangroves. Principal Component Analysis (PCA) was used to analyze the interaction between the endophytic fungi and phytochemicals, revealing a distinct affinity of certain fungal species for specific antioxidants in the mangroves. Fungal species such as Phoma sp., Rhizopus arrhizus, Aspergillus niger, and others exhibited a negative relationship with tannins, flavonoids, deoxysugars, and cardiac glycosides, but a positive affinity for saponins, alkaloids, and steroids. Conversely, Candida pseudotropicalis, Fusarium oxysporum, P. italicum, and others showed a positive affinity for tannins, flavonoids, cardiac glycosides, and deoxysugars, but a negative affinity for alkaloids, saponins, and steroids. Notably, Absidia sp. was the only frequently isolated species with a strong correlation (r value ≥75 at a 95% confidence limit) with deoxy-sugars, while Aspergillus niger, Aspergillus terreus, and Absidia sp. demonstrated significant relationships with alkaloids, saponins, and steroids. These phytochemicals, which serve as precursors to antioxidants with promising biotechnological applications, likely play a crucial role in determining the association of endophytic fungi with deltaic mangroves in Nigeria.

Potential Distribution and Carbon Sequestration of Rhizophora mangle L. in El Vizcaíno Biosphere Reserve, Baja California Sur, Mexico

Mangroves are a type of vegetation distributed in warm areas of the planet. Despite their importance, this flora is seriously threatened by both human activities and climate change. One of the main benefits provided by mangroves is carbon capture and storage, which is key for climate change mitigation. The main objective of this study was to identify the potential distribution and carbon sequestration potential of Rhizophora mangle L. in El Vizcaíno Biosphere Reserve. Potential distribution models were obtained for Baja California Sur, Mexico, using the MaxLike algorithm. For each projection, we used bioclimatic variables from the WorldClim project for current and future conditions (2050 and 2070), two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5) and three General Circulation Models (ACCESS-CM2, EC-Earth3-Veg and MPI-ESM1-2-HR). The potential distribution models were developed within the perimeter of El Vizcaíno Biosphere Reserve as a case study to establish the potential for carbon sequestration under different climate change scenarios. Our results show a possible future carbon sequestration from 10,177,174 Mg of CO2 and up to 14,022,367 Mg of CO2 for the ACCESS-CM2 SSP5-8.5 to 2070 and MPI-ESM1-2-HR SSP2-4.5 to 2070 projections, respectively. Mangrove species such as Rhizophora mangle can be an important part of climate change mitigation and adaptation.

The True Mangroves of Bintuni Bay, Indonesia with Special Notes on the Existence of Amyema mackayensis (Blakely) Danser and Brownlowia argentata Kurz

This research aimed to identify true mangroves in the ecotone area of Bintuni Bay, West Papua, Indonesia. It applied a plotless transect sampling method to identify two true mangroves previously unknown to the area, namely Amyema mackayensis and Brownlowia Argentina. The presence of the species in Bintuni Bay extended its distribution to the northern area of Indonesian New Guinea. With the addition of these two new records, Bintuni Bay hosted 30 species of true mangroves.

Growth, Morphology and Respiratory Cost Responses to Salinity in the Mangrove Plant Rhizophora Stylosa Depend on Growth Temperature.

Mangrove plants, which have evolved to inhabit tidal flats, may adjust their physiological and morphological traits to optimize their growth in saline habitats. Furthermore, the confined distribution of mangroves within warm regions suggests that warm temperature is advantageous to their growth in saline environments. We analyzed growth, morphology and respiratory responses to moderate salinity and temperature in a mangrove species, Rhizophora stylosa. The growth of R. stylosa was accelerated in moderate salinity compared with its growth in fresh water. Under warm conditions, the increased growth is accompanied by increased specific leaf area (SLA) and specific root length. Low temperature resulted in a low relative growth rate due to a low leaf area ratio and small SLA, regardless of salinity. Salinity lowered the ratio of the amounts of alternative oxidase to cytochrome c oxidase in the mitochondrial respiratory chain in leaves. Salinity enhanced the leaf respiration rate for maintenance, but under warm conditions this enhancement was compensated by a low leaf respiration rate for growth. In contrast, salinity enhanced overall leaf respiration rates at low temperature. Our results indicate that under moderate saline conditions R. stylosa leaves require warm temperatures to grow with a high rate of resource acquisition without enhancing respiratory cost.

Salinity regulates radial growth of Cynometra ramiflora L. in the Sundarbans mangrove ecosystem

The mangrove biome is threatened by global environmental changes (including sea level rise, SLR) and anthropogenic disturbances. In this context, understanding the growth dynamics of mangrove species is essential for designing effective management plans for critical mangrove ecosystems such as the Bangladesh Sundarbans. Therefore, this study aims to (1) identify the growth-ring boundaries and tested their periodicity (annual nature) in one of the ecologically important understory mangrove species, Cynometra ramiflora in the Bangladesh Sundarbans, (2) determine the influences of climate and river discharge on radial growth, and (3) examine the influence of habitat variables (e.g., regulators, resources and forest structure) on radial growth. The growth-ring boundaries of C. ramiflora were distinct on the polished wood discs and marked by a layer of flattened fibers mixed with parenchyma. The agreement between individual growth-ring series and chronology statistics enabled us to develop for the first time a 42-year-long chronology spanning from 1979 to 2021. The results indicate that growth rings are annual and could be used for age and growth rate estimations. Monsoonal and annual precipitation enhanced radial growth. Growth was also positively influenced by the amount of river discharge received prior to the onset of growth, particularly during the pre-monsoon. Generalized additive models (GAMs) revealed that among the habitat variables, salinity had a strong negative influence on radial growth of the studied species in the Sundarbans, while tree density and diameter heterogeneity (coefficient of variation, CoV of diameter at breast height) had positive influences. This study revealed that C. ramiflora growth is strongly dependent on soil salinity and highlighted the potential of this approach for improving the prediction of future tree growth and distribution in the face of projected global changes, in particular, SLR.

Identifying toxic elements in water, sediments, and roots of mangrove forest (Avicennia marina) in Chabahar Bay, Sea of Oman

Mangroves play a crucial role in filtering pollutants from water and sediments. However, excessive accumulation of potentially toxic elements (PTEs) has harmful effects on marine organisms. This article investigates the concentration and distribution of PTEs in water, sediment, and the roots of endangered mangrove species in Chabahar Bay, a subtropical coastal wetland. The relationship between PTE absorption and accumulation rates with flow rate, mangrove extent, and sedimentation was also explored. Water, sediments, and aerial roots samples were taken at four stations along the wetland from upstream fresh water toward outfall. According to the results, Cd had more distribution in sediment and water samples and plants did not play as adsorbent in the study area. The lowest and highest PTEs concentrations were detected in water and sediment media, respectively. The average concentrations of PTEs in the sediments in the Chabahar Bay were Fe > Cr > Zn > Ni > Cu > Pb > Co > As > Cd while in aerial roots of the mangroves were Fe > Zn > Ni > Cr > Cu > Co > As > Pb > Cd. Except Zn, As, and Cd, there was a good correlation between increasing PTEs content in the sediments with decreasing flow velocity and increasing vegetation density along stations 3 to 4. In addition, the amount of PTEs uptake by the mangroves was less than that of global wetlands. The results also demonstrated a greater uptake in aerial roots in saline water for Cr, Ni and Co. Since the absorption rate of PTEs by the aerial roots of pneumatophores is slower than that in sediments, elevated concentrations of PTEs in the sediment can disrupt the entire ecosystem, leading to a potential decline in biodiversity. These toxins can enter the food chain, affecting not only organisms directly interacting with the sediment but also higher trophic levels, such as fish and birds.

Multi-spatial Resolution Imagery to Estimate Above-Ground Carbon Stocks in Mangrove Forests

Mangroves are a type of vegetation that can absorb carbon and have an essential role in controlling CO2 levels in the atmosphere. Mangroves can absorb carbon better than terrestrial ecosystems because of their ability to bury carbon in sediment. This research aims to compare and measure the carbon stock content above the surface of mangroves in the field using multi-spatial resolution imagery, namely, Landsat 8 OLI, Sentinel 2A, and Planetscope. Field carbon calculations were carried out using the allometric method based on mangrove species. The calculation results are then linked through regression analysis with the vegetation index Difference Vegetation Index (DVI) results. The total carbon obtained from PlanetScope imagery was 535.27 tons, Sentinel 2A imagery was 549.23 tons, and Landsat 8 OLI imagery was 533.57 tons. Among the three images used, based on Sentinel 2A statistical analysis reflects the possibility of overfitting or the best with higher r and R2 values in the calculations. However, based on SE accuracy tests, PlanetScope has better accuracy than the other two images. Apart from that, the accuracy test results using a 1:1 goodness of fit plot for each image, the distribution pattern of mangrove carbon stock estimates shows that the entire model in mapping mangrove carbon stocks is over-estimated. The overestimated results are possible because more objects around the mangrove, especially canopy density, are recorded by remote sensing sensors compared to tree diameter as input for field carbon results.

A Dataset for Species Distribution Modelling of Mangroves in Vietnam: Based on the National Forest Inventory Monitoring

Mangroves provides essential ecosystem services such as protection of coastal areas, carbon sequestration, and habitat provision for diverse species in coastal ecosystems. Species distribution models (SDMs) are powerful tools for predicting the potential distribution of mangrove species, which support impact assessments of climate changes on biodiversity and ecological functions of mangrove ecosystems. A comprehensive dataset for mangrove occurrence information derived from the Forest Inventory Map of Vietnam was designed to facilitate the building and projection of SDMs. The prediction data designed for training SDMs integrates ecological information including 701 field survey-based mangrove occurrences at the genus level and 21 environmental variables such as bioclimatic variables, digital elevation model and soil properties with 1 km spatial resolution. The projection data for provide sets of predictors aligned with four shared socioeconomic pathways scenarios representing two future periods to support the projection of SDM results under future climate conditions in Vietnam. This dataset serves as a valuable ecological information resource, enabling the modeling and predicting of potential mangrove habitats and distributions for the protection and restoration of mangroves in Vietnam under changing environmental conditions.

Mangrove mapping in China using Gaussian mixture model with a novel mangrove index (SSMI) derived from optical and SAR imagery

As an important shoreline vegetation and highly productive ecosystem, mangroves play an essential role in the protection of coastlines and ecological diversity. Accurate mapping of the spatial distribution of mangroves is crucial for the protection and restoration of mangrove ecosystems. Supervised classification methods rely on large sample sets and complex classifiers and traditional thresholding methods that require empirical thresholds, given the problems that limit the feasibility and stability of existing mangrove identification and mapping methods on large scales. Thus, this paper develops a novel mangrove index (spectral and SAR mangrove index, SSMI) and Gaussian mixture model (GMM) mangrove mapping method, which does not require training samples and can automatically and accurately map mangrove boundaries by utilizing only single-scene Sentinel-1 and single-scene Sentinel-2 images from the same time period. The SSMI capitalizes on the fact that mangroves are differentiated from other land cover types in terms of optical characteristics (greenness and moisture) and backscattering coefficients of SAR images and ultimately highlights mangrove forest information through the product of three expressions (f(S) = red egde/SWIR1, f(B) = 1/(1 + e-VH), f(W)=(NIR-SWIR1)/(NIR+SWIR1)). The proposed SSMI was tested in six typical mangrove distribution areas in China where climatic conditions and mangrove species vary widely. The results indicated that the SSMI was more capable of mapping mangrove forests than the other mangrove indices (CMRI, NDMI, MVI, and MI), with overall accuracys (OA) higher than 0.90 and F1 scores as high as 0.93 for the other five areas except for the Maowei Gulf (S5). Moreover, the mangrove maps generated by the SSMI were highly consistent with the reference maps (HGMF_2020、LASAC_2018 and IMMA). In addition, the SSMI achieves stable performance, as shown by the mapping results of the other two classification methods (K-means and Otsu’s algorithm). Mangrove mapping in six typical mangrove distribution areas in China for five consecutive years (2019–2023) and experiments in three Southeast Asian countries with major mangrove distributions (Thailand, Vietnam, and Indonesia) demonstrated that the SSMIs constructed in this paper are highly stable across time and space. The SSMI proposed in this paper does not require reference samples or predefined parameters; thus, it has great flexibility and applicability in mapping mangroves on a large scale, especially in cloudy areas.

Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services

Coastal landscapes are rapidly changing due to both climate change and the decisions of waterfront landowners. For instance, the climate-driven encroachment of woody mangrove species into grassy marshland areas is predicted to impact coastal ecosystems, with consequences for the ecosystem services these landscapes provide to people. However, there is a dearth of knowledge concerning coastal resident perceptions of the effects of mangrove expansion on wetlands and their ecosystem services, which may impact residents’ behavior around shorelines and landscape-level patterns. We surveyed waterfront residents in the northern Gulf of Mexico (USA) to understand perceptions of the relative performance of marshes and mangroves to deliver fisheries ecosystem services. Residential-scale shoreline condition and preference, recreational fishing activity, geography, and demographics were evaluated as potential predictors of resident perceptions through non-parametric comparisons across groups and ordered logit modeling. Significant predictors included area of residence, marsh shoreline condition, marsh shoreline preference, fishing frequency, and household income. Florida residents (where mangroves are most prevalent) and frequent recreational fishing participants exhibited stronger preference for mangroves. Unexpectedly, residents with marsh currently present on their shoreline also perceived that mangroves were better at delivering fisheries ecosystem services than marshes. Considering the important role that coastal residents play in shoreline management decisions, these results demonstrate how coastal resident attitudes may drive or mediate climate-driven processes in ways that are not evident by examining environmental conditions alone. Understanding social-ecological shifts due to climate change will be important to inform effective landscape management that promotes resilience in coastal ecosystems and societies.