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Article

Connectivity of Mangrove Crab Populations Reveals Potential Exposure of Larvae to Metalloid Pollutants

by
Nelson de Almeida Gouveia
1,2,
Sabrina Aparecida Ramos da Fonseca
3,
Lucas de Farias Mota
1,4,*,
Manuela Santos Santana
5,
Douglas Francisco Marcolino Gherardi
4,
Maikon Di Domenico
5,
Kyssyane Samihra Santos Oliveira
6,
Fábio Cavalca Bom
7,
Nadson Ressyé Simões
8,
Gisele Daiane Pinha
8,
Renato David Ghisolfi
9,
Mônica Maria Pereira Tognella
10,
Fabian Sá
7,
Fabiana de Matos Costa
8,
Iurick Costa Saraiva
1,
Fábio Campos Pamplona Ribeiro
1,
Laís Altoé Porto
3,
Karen Otoni de Oliveira Lima
3 and
Beatrice Padovani Ferreira
1
1
Department Oceanography, Federal University of Pernambuco, UFPE, Recife 50740-550, Brazil
2
Department of Geography, University of Victoria, Victoria, BC V8W 2Y2, Canada
3
Espirito-Santense Thecnology Fundation, FEST, Vitória 29066-380, Brazil
4
Laboratory of Ocean and Atmosphere Studies (LOA), National Institute for Space Research, INPE, São José dos Campos 12227-010, Brazil
5
Center for Marine Studies, Federal University of Paraná, UFPR, Pontal do Paraná 83255-970, Brazil
6
Laboratory for Studies of the Atmosphere-Continent-Ocean System (ECOLab), Department of Oceanography and Ecology, Federal University of Espírito Santo, UFES, Vitória 29075-910, Brazil
7
Laboratory of Environmental Geochemistry and Marine Pollution (LabGAm), Federal University of Espirito Santo, UFES, Vitória 29075-910, Brazil
8
Laboratory for the Study and Conservation of Aquatic Systems (LECSA), Federal University of Southern Bahia, UFSB, Itabuna 45600-923, Brazil
9
Laboratory of Physical Oceanography, Federal University of Espirito Santo, UFES, Vitória 29075-910, Brazil
10
Department of Agrarian and Biological Sciences, Federal University of Espirito Santo, UFES, São Mateus 29932-540, Brazil
*
Author to whom correspondence should be addressed.
Environments 2026, 13(5), 282; https://doi.org/10.3390/environments13050282
Submission received: 19 March 2026 / Revised: 24 April 2026 / Accepted: 13 May 2026 / Published: 18 May 2026

Abstract

Large-scale disasters can result in chronic pollution of coastal environments with unanticipated and poorly quantified impacts, such as the reshaping of marine connectivity. A recent example is the collapse of the Fundão tailings dam in 2015, which released about 50 million m3 of mine waste into the Doce River, affecting one of Brazil’s largest estuarine–mangrove systems. Here, we combine a high-resolution CROCO hydrodynamic simulation with an individual-based Lagrangian model (Ichthyop) to track the dispersal of mangrove crab (Ucides cordatus) larvae from four estuaries along the southeastern Brazilian margin between 2022 and 2024. Trajectories crossing seasonal msPAF fields derived from in situ water-quality measurements were used to quantify larval exposure to contaminants from mine waste. These fields were based on measured concentrations of As, Ba, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, V, Zn, and Al. Results show that surface shelf flow and mesoscale activity in the vicinity of the Doce River mouth contribute to offshore export of larvae, while the reef-dominated Abrolhos shelf promotes retention. Interannual variability alternates between long-distance export and local retention, associated with regional climate variability. Larval mortality rates caused by offshore advection and lethal temperature are high (65–75%). In addition to these modeled mortality sources, surviving cohorts frequently crossed areas with elevated msPAF values during transport, indicating potential exposure to metal(loid) mixtures. This suggests that the regional connectivity of U. cordatus is under chronic stress that likely compromises the integrity and resilience of coastal populations, since southern estuaries depend strongly on northern larval sources. The integration of Lagrangian simulations with in situ contaminant monitoring and spatially explicit exposure metrics demonstrates that transport pathways regulate not only connectivity among estuaries but also the duration and intensity of larval exposure to pollutants.

1. Introduction

On 5 November 2015, the Fundão tailings dam collapsed in Mariana Municipality (Minas Gerais, Brazil), releasing approximately 50 million m3 of iron ore waste into the Doce River [1,2,3,4]. Within 17 days, the metal-contaminated plume reached the river mouth and dispersed along hundreds of kilometers of estuarine and mangrove habitats in the Atlantic Ocean [5,6,7,8,9,10,11]. As Brazil’s worst environmental disaster and one of the largest mining accidents worldwide [12,13], its effects on coastal ecosystems persist, with remobilized sediments transporting metals that alter water quality, benthic habitats, and the resilience of mangrove and estuarine communities [14,15,16,17,18].
The mud crab U. cordatus (Linnaeus, 1763) is a fundamental component of Brazilian mangroves, shaping sediment dynamics, nutrient cycling, and supporting local fisheries and livelihoods [19,20,21,22,23,24,25]. Its biphasic life cycle includes a planktonic larval phase lasting an average of 20 to 60 days, followed by settlement of the megalopa stage in estuaries [26,27,28]. U. cordatus occurs along the entire Brazilian coastline, including all major mangrove systems in the southeastern region, with a continuous latitudinal distribution from Amapá to Santa Catarina [20,29]. This species exhibits high population connectivity across various coastal regions of Brazil, facilitated by larval dispersal via ocean currents [30]. During this dispersive marine phase (mainly zoea stages), larvae are likely to be exposed to contaminants present in the disaster-affected area, potentially disrupting physiological development and behavioral regulation. Recent studies have shown that metal exposure can impair development, physiology, and performance in aquatic larvae and crustaceans [13,31]. Even when not directly lethal, such exposures may reduce larval fitness, with implications for recruitment success, reproductive potential, and the demographic stability of interconnected populations [32,33,34].
Furthermore, the return of the final larval stage (megalopa) to the estuary and recruitment in distant mangroves may carry modified biological characteristics, propagating the effects of contamination through population networks and altering ecosystem dynamics along the coast. Evidence from the Doce River plume shows negative effects on zooplankton, including reduced diversity and increased opportunistic species linked to higher concentrations of Al, Mn, and Fe [35,36,37], metals known to impair crustacean larval development and morphology [38,39,40,41]. In the present study, exposure was assessed to As, Ba, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, V, Zn, and Al. Recent findings reinforce this concern, as U. cordatus populations show vulnerability in terms of average size and density, indicating risks to stock maintenance when environmental impacts become chronic and compromise adaptive capacity [9,18,33]. In this way, the Fundão disaster may continue to influence mangrove communities beyond the initially affected sites, jeopardizing the livelihoods of numerous traditional communities in the affected mangrove forests that depend on the capture of U. cordatus.
Although these physical processes are well characterized, their role in transporting potentially contaminated larvae and modulating retention, export, and persistence within the regional connectivity network remains insufficiently resolved along the southeastern Brazilian coast. The Brazil Current (BC), a western boundary current transporting warm tropical waters southward, interacts with complex shelf topography, including the wide Abrolhos Bank and the narrower Espírito Santo shelf. This interaction generates mesoscale features, such as the Abrolhos anticyclone eddy and Vitória cyclone eddy, which drive vertical mixing, nutrient enrichment, and offshore plumes [42,43,44,45].
Genetic studies reveal weak differentiation among U. cordatus populations, consistent with high connectivity of metapopulations that may be facilitated by these circulation patterns and efficient larval transport [30]. Connectivity is further reinforced during the plankton-to-benthos transition, when megalopa enter estuaries and recruit new grounds [46,47]. However, while genetic evidence suggests high connectivity, the potential for contaminants to modify larval traits raises pressing questions: How are mangroves linked through larval dispersal? To what extent might larval exposure near the Doce River impact populations in other mangroves? Are there additional sites that require monitoring to detect long-term impacts? Understanding these patterns is essential to assessing the persistence and propagation of historical contamination along the coast.
We hypothesize that larvae originating from mangroves near the Doce River may become exposed to contaminants and physical stressors during their planktonic phase, an exposure that potentially alters mortality rates during their life stage in the marine environment and, consequently, influences population connectivity and demographic dynamics along the Brazilian coast. To test this hypothesis, we aimed to (i) analyze the spatial reach of potentially affected larvae, (ii) quantify exposure duration to assess the likelihood of sublethal effects, and (iii) evaluate larval connectivity potential between mangrove spawning sites to understand how local contamination could propagate through regional metapopulations. These analyses provide a mechanistic framework to examine how historical pollution may continue to shape the distribution, recruitment, and resilience of U. cordatus populations and the mangrove ecosystems they inhabit.

2. Materials and Methods

2.1. Larval Dispersion Modeling

Larval dispersal experiments were conducted between 2022 and 2024 along the Brazilian coast, encompassing the Abrolhos Bank and the Vitória–Trindade Ridge (Figure 1). Four mangrove systems monitored [9] were selected as spawning sites for larval release—(A) Caravelas; (B) São Mateus; (C) Doce River; and (D) Piraquê Açu—Mirim—spanning from southern Bahia to the mouth of the Doce River (Figure 1). These sites were chosen because they represent major mangrove systems, occur within or near the area influenced by the Doce River plume, where adult populations of U. cordatus are established, and reproductive activity is well documented. Potential recruitment areas were defined based on the presence of mangrove habitats along the coast (details in Section 2.1.2), including not only the four spawning sites (A–D), where local retention may occur, but also additional mangrove systems to the south—(E) São João da Barra; (F) Cabo Frio; and (G) Rio de Janeiro—between southern Espirito Santo and Rio de Janeiro. All these areas provide suitable habitat for larval settlement and post-larval development.
Surface circulation in the region is dominated by the Brazil Current (BC), a western boundary current formed at the bifurcation of the South Equatorial Current around 14° S [42,43]. Its interaction with the shelf break generates mesoscale vortices that influence larval southward dispersal, local retention, and offshore export. This circulation regime is characterized by the Abrolhos anticyclone (AE, ~19° S) and the Vitória cyclone (VE, ~22° S), which form a dipolar structure that promotes the uplift of cold, nutrient-rich waters, subsequently mixed in the upper layer and advected offshore as a plume extending more than 250 km from the shelf break [44].
The formation and persistence of these mesoscale features are strongly modulated by the morphology of the continental shelf. The Abrolhos Bank, located between ~16° S and 19° S, is the broadest shelf sector in the South Atlantic, extending up to ~200 km offshore and covering ~45,000 km2 [48]. Its bathymetry is characterized by a wide, gently sloping platform with extensive reef structures and carbonate banks, contrasting sharply with the narrow shelf of Espírito Santo, which is only ~50—80 km wide and bounded by a steep slope. This abrupt latitudinal change in shelf geometry enhances vorticity and favors the generation, trapping, and maintenance of mesoscale eddies, providing the physical setting for the AE—VE dipole [48,49]. Over the Abrolhos Bank, circulation is further influenced by reef-induced topographic steering and localized retention, whereas in the Espírito Santo sector, shelf—slope interactions facilitate intrusions of slope waters onto the shelf. These bathymetric and geomorphological contrasts modulate vertical mixing, nutrient enrichment through episodic upwelling, and the variability of surface transport in the region, thereby affecting the thermal and advective environment experienced by larvae during dispersal.

2.1.1. Hydrodynamic Model

The Coastal and Regional Ocean Community model (CROCO, version 1.2), an oceanic modeling system built upon ROMS_AGRIF, was employed to simulate the ocean circulation of the study region between 2022 and 2024. CROCO is a three-dimensional, free-surface, terrain-following model that solves the Reynolds-averaged Navier–Stokes equations using hydrostatic and Boussinesq approximations as in ROMS [50,51,52,53].
A regular horizontal grid was implemented for the study area (27° W—49° W and 8° S—27° S) with approximately 4.6 km spatial resolution. The grid features open eastern, southern, and northern boundaries, with a closed western boundary. The vertical coordinate consists of 40 sigma levels, irregularly spaced and with higher resolution near the surface. The bathymetric data were obtained from the General Bathymetric Chart of the Oceans (GEBCO) [54], with a spatial resolution of 30 arc-seconds. Surface forcing conditions were obtained from ERA5 reanalysis produced by the European Centre for Medium-Range Weather Forecasts with a temporal resolution of 1 h and a spatial resolution of 31 km [55].
Tidal forcing was obtained from the TPXO 9.0 global database [56], which provided amplitudes and phases of the major tidal harmonic constituents at a spatial resolution of 1/4° × 1/4° applied at the open boundaries (M2, S2, N2, K2, O1, P1, Q1, Mf, and Mm). The HYbrid Coordinate Ocean Model (HYCOM Global 1/12°, approximately 9.25 km of horizontal resolution) coupled with the Navy Coupled Ocean Data Assimilation (NCODA) system reanalysis (HYCOM) provided the initial and daily boundary conditions, including temperature, salinity, sea surface elevation, and current velocities [57]. Model performance against mooring observations is shown in Figure S1, and the corresponding validation statistics are summarized in Table S1.

2.1.2. Lagrangian Model

The larval dispersal experiments for U. cordatus were conducted using the Lagrangian dispersal model (individual-based model, IBM) Ichthyop v3.3 [58] forced by CROCO outputs of current velocity, temperature, and salinity. This is a Java-based open-source tool designed to study particle dispersion by integrating physical and biological factors that influence larval dynamics throughout the water column. Ichthyop uses vector fields of current velocity, temperature, and salinity from hydrodynamic models to simulate advection and connection paths of virtual particles in a three-dimensional physical environment. In this study, reproductive aspects of U. cordatus obtained from the literature (Table 1) were used. Spawning of the species always occurs after the full and new moon during the months of January to April in the study region [59,60]. Twelve simulations were conducted from 2022 to 2024, four for each year, and four for the entire period, each lasting 30 days with a time step of 2 h.
The survival and mortality rates of the larvae were calculated after the end of the simulations, in which mortalities were divided into lethal temperature (outside the survival range) and advection (outside the model domain), calculated according to Equation (1).
M o r t a l i t y t = t d i t C
where t is the time instant for each simulation; di are the larvae advected to regions outside the temperature range and/or outside the domain; and C is the total number of particles spawned.

2.2. Larval Exposure Assessment

Larval exposure to potentially contaminated waters was quantified by integrating simulated larval trajectories with in situ environmental data and Doce River plume distributions. An exposure index was calculated for each larva, reflecting both duration and intensity of contact with contaminated waters. This approach allowed a spatially and temporally explicit assessment of the potential impacts of historical contamination on dispersing larvae.

2.2.1. In Situ Data and NOEC Index

To quantify the potential toxic pressure of metal(loid)s on U. cordatus larvae, we used water quality data collected during campaigns from 2022 to 2024 (Figure S1). Water samples were obtained at both surface (0–15 cm) and near-bottom (~50 cm above sediment) layers using non-metallic, messenger-activated bottles. Temperature records used to characterize upper-water-column thermal structure were obtained from fixed moorings. Samples were carefully transferred to pre-cleaned containers with silicone tubing, and all handling was performed with powder-free nitrile gloves to minimize contamination. Total, dissolved, and particulate metal(loid)s were analyzed. The dissolved fraction was defined as the material passing through 0.45 μm membranes, whereas the retained fraction constituted the metal(loid)s associated with suspended particulate matter (SPM). The study by Longhini et al. [50] provides the analytical framework and indices used to characterize contamination patterns in this region; further analytical details are provided there.
For metal(loid)s measured (As, Ba, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, V, Zn, and Al), species sensitivity distributions (SSDs) were constructed using NOEC (No Observed Effect Concentration) and EC10 data [64], which describe the range of sensitivities among species. This SSD approach was based on ecotoxicity data compiled for multiple aquatic species. For each metal(loid), a hazard unit (HU) was calculated as the ratio between the measured environmental concentration and the SSD mean, representing the relative toxic pressure of that metal(loid). The hazard units of all metal(loid)s were combined to calculate the multi-substance Potentially Affected Fraction (msPAF), which estimates the fraction of species potentially affected by the mixture. msPAF values ≤ 0.05 indicate protection of at least 95% of species, and the contribution of each metal(loid) to the cumulative msPAF was expressed as a proportion of total hazard units to identify the most influential contaminants. Raster layers representing NOEC-based thresholds were created for each campaign and season (dry and rainy), summarizing the spatial distribution of potentially toxic concentrations.

2.2.2. Larval Exposure Metric

Larval exposure to metal contamination was quantified by coupling simulated larval trajectories with spatially and temporally resolved msPAF fields. The larval trajectories were obtained from the Lagrangian simulations, whereas the msPAF values were derived from in situ measurements and subsequently interpolated onto regular raster grids covering the study domain. Separate raster layers were generated for each monitoring campaign and aggregated by season, defining rainy (October–March) and dry (April–September) periods to capture seasonal variability in contaminant distribution [65].
Larval positions were tracked at 6 h intervals over the 30-day pelagic larval duration using outputs from the Lagrangian simulations. At each time step, larval locations were overlaid onto the corresponding seasonal msPAF raster, and the msPAF value of the occupied grid cell was assigned to each larva. Exposure was recorded whenever a larva occupied a cell with msPAF values greater than 0.05, a threshold indicating potential toxic effects on at least 5% of species.
Cumulative exposure time for each larva was calculated as the total number of time steps spent in grid cells exceeding the msPAF threshold, multiplied by the temporal resolution (6 h). This metric integrates both the duration and spatial persistence of exposure during larval transport. Exposure times were calculated independently for each spawning site, simulation month, and year between 2022 and 2024.

2.3. Connectivity Among Mangrove Populations

The connectivity analyses considered seven areas, of which only four were used as spawning areas (A to D in Figure 1) under the direct influence of the Doce River plume [9]. Recruitment was computed for all seven areas (A to G in Figure 1) to assess the potential pollution impacts on populations to the south of the Doce River mouth influenced by the transport of the BC. Maps depicting the final positions of living larvae provide an estimate of spatial aggregation and allow the identification of regions with a higher probability of colonization. Each area was defined using a buffer around the mangroves extracted from Global Mangrove Watch (GMW), an online platform that provides remote sensing data and the tools needed to monitor mangroves with global access to near-real-time information (https://www.globalmangrovewatch.org/, accessed on 10 December 2025). The mangrove product represents the global extent of mangrove forests for the year 2020, derived from a Random Forest classification of a combination of L-band radar data (ALOS PALSAR) and optical satellite data (Landsat-5 and Landsat-7) [66] (black and red polygons in Figure 1), representing the spatial extent of suitable settlement habitat. This buffer approach accounts for small-scale spatial uncertainty in larval positions and habitat boundaries, ensuring that local retention and recruitment events are captured even if larvae do not land precisely on mapped mangrove polygons. Larvae that interacted with the coastline were not removed from the simulation because coastline behavior in the Lagrangian model was defined as bouncing. Recruitment and local retention were counted only for larvae reaching the buffer area during the final 5 days of the 30-day simulation (days 25–30), which we defined as the settlement-competent window of the dispersal period, based on the pelagic larval duration adopted in the model and the short pre-settlement period reported for U. cordatus megalopae [67]. Successful recruitment and local retention were therefore defined only for larvae entering the buffer area between days 25 and 30 of the simulation. This procedure was applied to each individual simulation to account for intra-seasonal variability in larval dispersal, and four simulations were conducted for the spawning period.
Connectivity between areas was then quantified and presented as connectivity maps, summarizing the proportion of surviving larvae moving from origin to destination areas. This approach allows the identification of regions with higher potential for larval settlement and explicitly accounts for the effects of environmental drivers on connectivity patterns, addressing spatial heterogeneity and larval retention dynamics that could influence recruitment outcomes. The percentages were calculated using the following Equations (2) and (3).
R e c r u i t m e n t t , i = t   C i j +   t   C i i     t N t
L o c a l   r e t e n t i o n t , i = t   C i i   t N i
where t is the time instant for each simulation; Cij represents the larvae generated in region i that were recruited in region j; and Cii is the number of larvae generated in region i that were recruited in the same region. Nt is the total number of larvae generated in the simulation, and Ni is the number of particles generated in region i.

3. Results

3.1. Variability of Dispersion Trajectories and Distances Traveled by Larvae

The dispersion of living U. cordatus larvae released from Caravelas, São Mateus, Doce River, and Piraquê Açu–Mirim exhibits a consistent southward orientation throughout the analyzed period (January–April of 2022, 2023, and 2024), with trajectories predominantly aligned with the continental shelf and slope (Figure 2a). This large-scale pattern is consistent with the mean circulation resolved by the three-dimensional ocean reanalysis used to force the dispersal simulations, in which the Brazil Current drives meridional transport along the eastern Brazilian margin during the spawning season.
Regional departures from this shelf-aligned transport occur at the northernmost release area, Caravelas (Figure 1A), where circulation is strongly influenced by the Abrolhos Bank. In this sector, the wide shelf and reef-dominated topography modify flow pathways, resulting in shorter and more curved trajectories compared to those originating from São Mateus, Doce River, and Piraquê Açu–Mirim (Figure 2a and Figure S6). Consistent with this southward transport, wind climatology indicates a predominance of N and NE winds during the analyzed months, accounting for more than 49% of occurrences across the source regions (Figure S2 and Table S2). Such winds are known to influence surface circulation over the inner shelf and coastal zone, where wind-driven processes can locally reinforce the mean along-shelf flow.
A smaller fraction of particles was occasionally advected eastward, associated with the development of recirculation cells and meanders at the shelf edge, which diverted part of the transport offshore. In April, dispersal patterns diverged among regions. In the Doce River and Piraquê Açu–Mirim, larvae continued to be exported mainly southward, sustained by the large-scale coastal flow and the absence of significant topographic barriers (Figures S6 and S7). In São Mateus, however, a marked shift was observed; part of the trajectories moved northward and eastward, linked to the seasonal variability of autumn winds and the intensification of shelf circulation cells, which generated transport opposed to the Brazil Current. (Figure 2a and Figure S5). This shift coincides with an increase in S and SE winds in April (Figure S2), creating conditions favorable to northward transport and explaining the late-season deviation observed in the simulations. In contrast, Caravelas maintained localized dispersal, with short and recirculating trajectories (Figure S4). The particular configuration of the Abrolhos Bank, composed of reefs and channels, favors the formation of retention cells that limit the coupling of particles to the boundary flow, resulting in larval confinement even in April. The retention in Caravelas is also compatible with the higher proportion of E and SE winds in several months (often 14–34%), which tend to align transport along the coast and reduce offshore displacement, further reinforcing the localized trajectories produced in this region (Tables S3–S5).
The larval dispersal distances of U. cordatus varied consistently between spawning regions and years (Figure 2b). In 2022, Caravelas had the shortest dispersal distances, with medians close to 400 km, while São Mateus and Piraquê had intermediate values, close to 600 km. Meanwhile, larvae spawned in the Doce River had the longest dispersal distances, with medians around 700 km and events exceeding 1200 km. In 2023, there was a general increase in distances in all regions, with medians between 700 and 900 km, including maximum displacements above 1300 km. In 2024, the patterns became more heterogeneous: Caravelas showed a significant reduction, with medians close to 300 km; São Mateus values were above 800 km; Piraquê intermediate values were close to 600 km; and the Doce River had the largest displacements, with medians close to 1000 km and maximums above 1400 km. For the Doce River, this increase is consistent with the predominance of advective losses in 2024, together with reduced stratification and enhanced transport, which favored longer downstream dispersal.

Survival Rates and Sources of Larval Mortality

Larval survival exhibited marked spatial and interannual variability across the four spawning regions (Figure 3). Larval survival averaged ~30%, influenced by strong environmental pressures. These pressures were dominated by environmental variability, particularly exposure to temperatures approaching lethal thresholds, and by circulation patterns that transport larvae into areas less suitable for successful recruitment. Among all years, 2024 showed the most pronounced declines in the larval survival rate. Caravelas recorded a survival rate of 9.47% and Doce River 16.8%, the lowest values in the time series. Interestingly, Caravelas showed the highest survival rates in 2022 and 2023 (above 50%) with advection the only cause of mortality, whereas in 2024, the lethal temperature became the predominant factor. At the same time, although the Doce River showed moderate survival rates in previous years, 2024 was marked by a nearly total dominance of advection, resulting in the lowest survival rates.
On the other hand, São Mateus showed the highest survival rate in 2024 (above 50%), with mortality balanced between advection and temperature, whereas in the previous years, advection was the predominant factor in mortality, with moderate survival rates. Finally, Piraquê Açu–Mirim displayed intermediate and the most consistent survival rates (~35–40%) across the three years, with a slight predominance of advection over lethal temperature.
Interannual variability in the vertical thermal structure of the water column emerged during the spawning season from temperature records obtained at fixed moorings (Figure 4). Vertical temperature differences (ΔT = Tsurface − Tsubsurface) were computed from temperatures measured near the surface and at a subsurface depth instrumented by the moorings. These moorings are deployed within approximately the same water-column range used by larvae during diel vertical migration (∼15–40 m), allowing ΔT to represent vertical thermal gradients within the upper water column. In 2022, ΔT frequently exceeded 4–7 °C between February and April at the Doce River and Piraquê Açu–Mirim sites, indicating persistent stratification during peak spawning months. Over the same period, São Mateus and Caravelas exhibited weak or negligible vertical gradients. The 2023 spawning season showed a comparable spatial pattern, with recurrent ΔT maxima at the Doce River and Piraquê Açu–Mirim and lower values at the northern sites. During intervals of elevated ΔT, simulations indicated higher proportions of temperature-driven larval mortality, particularly toward the end of the spawning season (Figure 3).
In 2024, ΔT values remained consistently lower across regions, especially in April, reflecting reduced vertical stratification relative to previous years. This shift coincided with the 2023–2024 El Niño warming period and with a transition toward weaker upper-ocean stratification, enhanced vertical mixing, and greater larval losses by advection in the simulations. Under these conditions, simulations showed lower temperature-driven mortality and increased larval losses associated with advection, consistent with enhanced offshore transport and reduced retention (Figure 3). Wind-stress curl further characterized the physical environment during the spawning period (Figure 4). In 2022 and 2023, extended intervals of negative curl (<0) occurred from January through March, indicating surface divergence and offshore Ekman transport [68,69,70]. These intervals overlapped with periods of elevated ΔT. In contrast, curl values in 2024 remained near zero for most of the spawning season, coinciding with weaker vertical gradients and increased vertical mixing, likely associated with seasonal changes in net ocean heat flux [71].

3.2. Potential Exposure of Larvae to Toxic Metaloids

The analysis of larval exposure in the PMBA monitoring area shows that toxic pressure was present throughout the years studied (Figure 5a). In 2022, the highest toxicity occurred in freshwater zones, at the river mouth, and in the northern sector during the rainy season. This was mainly linked to the metals iron (Fe), copper (Cu), and zinc (Zn). In other areas, toxicity levels were lower (0.05 < msPAF < 0.2), and this general pattern continued during the dry season. In 2023, toxic pressure increased in the northern sector during the rainy season, again driven by the same metals, while freshwater zones remained highly affected. In the dry season, toxicity in freshwater areas decreased, but pressure increased farther offshore on the continental shelf. In 2024, toxic pressure rose again across the entire monitored region, especially in the rainy season, now associated with zinc (Zn), iron (Fe), aluminum (Al), and copper (Cu). During the dry season, pressure decreased in some freshwater zones, particularly in the Lakes sector, as well as in the northern area.
The daily exposure of U. cordatus larvae also varied by spawning site (Figure 5b). Larvae spawned in Caravelas were exposed to toxic areas for 6–12 days, especially in March. In São Mateus, exposure lasted 6–15 days, particularly in March and April. By contrast, larvae from the Doce River and Piraquê rivers usually stayed for shorter periods (2–6 days), although some remained 8–12 days, and a few outliers showed exposures longer than 20 days.

3.3. Spatial and Temporal Variability of Larvae Destination

Final positions of surviving larvae of U. cordatus released from the four spawning estuaries during January, February, March, and April between 2022 and 2024 are shown in Figure 6. In January, when spawning began, the larvae released from Caravelas and São Mateus were transported mainly southward along the continental shelf, reaching the coasts of Espírito Santo and northern Rio de Janeiro. Particles released from the Doce River and Piraquê Açu–Mirim rivers also dispersed southward, concentrating over the middle shelf of Espírito Santo and adjacent offshore areas, with no evidence of return to their release zones. In February, a similar pattern persisted, with most particles distributed along the mid-shelf between northern Espírito Santo and Vitória. Larvae from Caravelas continued to drift southward, though some remained over the Abrolhos Bank. Those from São Mateus and the Doce River exhibited broader dispersion across the outer shelf and slope. In March, final positions indicated reduced dispersal distances and enhanced coastal retention in the Caravelas and São Mateus regions, with particle clusters remaining near the release areas and over the northern sector of the Abrolhos Bank. Larvae from the Doce River and Piraquê Açu–Mirim remained concentrated farther south, over the Espírito Santo shelf, with limited offshore spread. In April, most particles from Caravelas and São Mateus stayed confined to the inner shelf, indicating predominant local retention during the late spawning period. Larvae from the Doce River and Piraquê Açu–Mirim remained distributed along the Espírito Santo coast, with some reaching the northern Rio de Janeiro shelf, again without returning to source areas.
The spatial pattern of the final positions of surviving particles (Figure 6) reflects the large-scale organization of circulation along the southeastern Brazilian shelf. Larvae released from the Doce River and Piraquê Açu–Mirim tended to disperse along a well-defined downstream corridor, with endpoints distributed primarily between 19.5° S and 21° S. In contrast, particles originating from Caravelas remained mostly confined to the inner shelf, forming short and localized clusters concentrated north of 18.5° S. São Mateus presented an intermediate behavior, with some trajectories extending southward and others turning offshore depending on the month.

Connectivity of Mangrove Recruitment Habitats

Caravelas stands out as a key larval source for the mangroves of São Mateus, São João da Barra, and Piraquê, to which it contributes approximately 60% of its surviving larvae (Figure 7). Caravelas also displayed significant local retention, as in 2024, when 33% of larvae were recruited back into their own mangroves. Although in smaller proportions, larvae spawned in Caravelas occasionally recruited as far as the Doce River and Rio de Janeiro. Still, São Mateus remained the main destination, receiving on average about 60% of the larvae originating from Caravelas over the three years analyzed. São Mateus itself showed high local retention, with an average of 48% of surviving larvae recruiting locally. It also acted as a source for the Piraquê and Rio de Janeiro mangroves.
In specific years, such as 2022, 16.5% of larvae recruited to the Doce River, while in 2024, 5% returned to Caravelas, reflecting variable connectivity over time. Larvae spawned in the Doce River also reached potential recruiting grounds in the Piraquê and Rio de Janeiro mangroves. However, unlike other regions, the Doce River showed no significant local retention, suggesting that larvae from this area tend to disperse outward. Spawning in Piraquê, on the other hand, contributed mainly to the Rio de Janeiro mangroves while also showing notable local retention rates, averaging 8% across the study years.

4. Discussion

The present work sheds light on the connectivity of the mud crab U. cordatus populations inhabiting coastal mangrove systems and on how this connectivity shapes exposure to mining-waste contaminants originating from the Mariana tailings dam collapse. By combining hydrodynamic circulation, Lagrangian dispersal, and spatially explicit msPAF fields, our framework links regional transport pathways to potential contaminant exposure across connected mangrove systems. Our study reveals that, as expected, larvae of U. cordatus are more likely to become exposed to metals associated with the Mariana dam collapse near the Doce River mouth and the coastal zone to the north, where exposure times are higher. Larvae from spawning areas south of the river mouth (Doce River and Piraquê Açu–Mirim, March and April in Figure 8) can be exported in relatively large numbers to southernmost regions (up to 60%, as in 2024 shown in Figure 8). This happens as a result of the combined influence of regional circulation and seasonal upwelling acting on the dispersal and survival of larvae. These processes interact to eventually increase larval exposure to persistent contamination associated with the Doce River plume by transporting or retaining these larvae in specific areas. This portion of the western South Atlantic represents a hydrodynamically complex zone of the Brazil Current (BC), where the western boundary flow interacts with contrasting shelf morphologies—the broad and shallow Abrolhos Bank and the narrow, steep Espírito Santo margin [42,45,49]. Within this region, larval transport is controlled by the spatial variability of advection, retention, and cross-shelf exchange governed by tides, mesoscale circulation, and wind-driven processes.
The results indicate a consistent seasonal structure in dispersal and connectivity determined by the hydrology (dry and wet seasons) of the Doce River basin and regional ocean circulation. During January and February, corresponding to the main reproductive period of U. cordatus, the BC is baroclinically intensified and centered near the 200–300 m isobath, with mean surface velocities between 0.5 and 1.0 m s−1 [30,33]. Under these conditions, advection dominates the surface flow, promoting southward transport from all estuarine sources (Figure 3). Larvae released from the Doce River and Piraquê Açu–Mirim were predominantly advected southward along the continental slope, as indicated by elongated dispersal trajectories, larger median dispersal distances, and the downstream concentration of final larval positions (Figure 2a,b and Figure 6). In contrast, larvae released from Caravelas and São Mateus exhibited shorter trajectories, higher local retention, and recurrent clustering over the Abrolhos Bank (Figure 2a, Figure 6 and Figure 8), consistent with partial trapping within this region. These contrasting dispersal patterns reflect the marked morphological asymmetry of the shelf, where the narrow southern sector favors export-dominated transport, whereas the wider Abrolhos Bank, with its complex topography and reef structures, promotes local recirculation and longer larval residence times [48].
The mesoscale circulation structures underlying these dispersal contrasts are further evidenced by the relative vorticity fields (Figure 8). During January–April, the vorticity maps show a persistent band of negative vorticity extending from approximately 19.0° S to 20.7° S, south of the Doce River mouth, delineating the same latitudinal corridor along which larvae released from the Doce River and Piraquê Açu–Mirim are transported downstream in the simulations (Figure 2a). Embedded within this band, a semi-stationary cyclonic–anticyclonic pair offshore of 19.5–20.0° S corresponds to the curvature observed in several trajectories as particles veer offshore before re-entering the shelf. Farther north, near São Mateus (18.5–19.0° S), alternating dipole structures in the vorticity fields align with the bifurcation of simulated trajectories during certain months, whereas the Caravelas sector (17.5–18.5° S) exhibits weaker and more fragmented vorticity features, consistent with the more spatially confined dispersal patterns observed for this spawning region.
As the season advances into March and April, circulation reorganizes in response to intensified north-easterly winds that induce upwelling of South Atlantic Central Water (SACW) between Prado and Vitória [72,73]. The resulting vertical shear and isopycnal tilting enhance mesoscale activity of the Abrolhos anticyclonic eddy near 18–19° S, which favors convergence and retention, and the Vitória cyclonic eddy around 21–22° S, which drives divergence and offshore export [45,74]. The simulated final larval distributions (Figure 6) reflect the contrasting dispersal regimes identified in the connectivity and retention analyses. North of 20° S, particle accumulation over the Abrolhos Bank coincides with higher local retention and repeated connections among northern spawning sites, as shown by the connectivity matrices and retention patterns (Figure 8). In contrast, larvae released south of the bank show limited local retention and predominantly downstream connections, consistent with the southward transport pathways observed in the trajectory analyses and resulting in continuous export along the Espírito Santo shelf (Figure 6 and Figure 8). Hydrographic surveys in the same region have documented these quasi-stationary eddies and their influence on particle retention and nutrient recirculation [72], supporting the circulation structure revealed in this study.
Thermal and vertical structures associated with upwelling events had a strong effect on survival. SACW intrusions reduced surface temperatures to 17–20 °C [72], close to the lower thermal tolerance limits observed for U. cordatus larvae [26,62]. The coincidence between cold intrusions and low survival in the simulations (Figure 4b) suggests that temperature and turbulence act jointly as mortality drivers. Although anomalous warming may have altered the thermal structure of the upper ocean, our results indicate that the dominant effect in 2024 was a shift toward advective losses rather than a direct temperature barrier to larval transport. Enhanced vertical shear during upwelling likely displaced early stages offshore, reducing their retention near estuarine fronts. Similar patterns of temperature-induced mortality have been reported for tropical decapod and fish larvae under comparable hydrographic conditions [75,76]. This sequence defines a restricted temporal window for larval development and recruitment under seasonal alternation between stratified and upwelling-dominated regimes. The interannual contrast between strongly stratified, curl-active years (2022–2023) and the vertically homogeneous structure observed in 2024, therefore, provides a physical explanation for the distinct mortality patterns detected across regions.
Larval dispersal along the eastern Brazilian coast emerges from the coupled action of mesoscale circulation, environmentally driven mortality, and exposure to plume-influenced waters, as jointly expressed by the survival patterns, final larval distributions, and connectivity matrices (Figure 3, Figure 5 and Figure 8). Because exposure occurs during the planktonic phase, its biological consequences likely depend on larval stage, with early zoeal stages expected to be more sensitive than later stages such as megalopae. Simulated trajectories show substantial overlap with regions of elevated msPAF associated with the Doce River plume, indicating recurrent exposure to metal-enriched waters dominated by Fe, Cu, Zn, and Al (Figure 5), consistent with post-disaster contamination patterns [34,77]. This exposure differs systematically among regions: larvae released from Caravelas and São Mateus experience longer residence within plume-affected waters (6–15 days) under semi-retentive conditions promoted by recirculation over the Abrolhos Bank, whereas larvae originating from the Doce River and Piraquê Açu–Mirim experience shorter exposure periods (2–6 days) but are more frequently exported downstream under intensified Brazil Current transport (Figure 5 and Figure 8). Periods of enhanced vertical thermal gradients and shear associated with SACW intrusions coincide with increased temperature-driven mortality (Figure 3), superimposing physiological stress on larvae that are simultaneously advected or retained within contaminated waters. As upwelling-favorable conditions develop, circulation over the Abrolhos Bank shifts toward increased local retention, reinforcing repeated connections among northern estuaries, while south of the bank, the Vitória Eddy sustains offshore and downstream export, limiting retention and strengthening asymmetric connectivity (Figure 5 and Figure 8). Together, these coupled physical, chemical, and biological processes generate a persistent spatial asymmetry in connectivity. Northern estuaries (Caravelas and São Mateus) operate as semi-retentive systems with prolonged exposure to moderate contamination, whereas southern estuaries (Doce River and Piraquê Açu–Mirim) function as export-dominated pathways more frequently subjected to intense contaminant advection and environmentally driven losses. In this context, the negative-vorticity corridor identified south of the Doce River mouth (Figure 7) overlaps spatially with regions of elevated msPAF values (Figure 5), indicating that larvae repeatedly traverse zones of enhanced chemical exposure along their dispersal pathways, rather than encountering contamination only at their final destinations.
Superimposed on this spatially asymmetric connectivity regime, interannual variability further modulated both the magnitude and direction of larval transport. In 2023, El Niño-like conditions deepened the thermocline and weakened wind stress, strengthening the Brazil Current and promoting offshore advection, which extended dispersal distances and reduced local retention [78,79]. In contrast, during 2024, the Brazil Current weakened, and shelf recirculation intensified, resulting in shorter trajectories and stronger confinement over the shelf (Figure 2b). These alternating dispersal regimes are consistent with previous assessments of the sensitivity of the Brazil Current to large-scale atmospheric forcing [44,45,72]. Consistent with these transport shifts, the thermal structure of the upper ocean also varied substantially among years, with stronger Brazil Current conditions associated with larger vertical temperature gradients and prolonged stratification, whereas 2024 exhibited weaker gradients. This coupled variability in transport and stratification provides the physical context for the contrasting mortality and retention patterns observed among years.

5. Conclusions

Coastal connectivity of the mud crab U. cordatus along the eastern Brazilian coast is driven by mesoscale circulation and vertical thermal structure. We show that larval exposure to plume-influenced waters associated with the Fundão dam collapse is closely linked to this connectivity. The integration of Lagrangian simulations with in situ contaminant monitoring and spatially explicit exposure metrics demonstrates that transport pathways regulate not only connectivity among estuaries but also the duration and intensity of larval exposure to environmental stressors.
Connectivity patterns are spatially asymmetric across the region. Northern estuaries associated with the Abrolhos Bank function as semi-retentive systems, where enhanced recirculation promotes local retention and repeated exchange but also prolongs residence within contaminated waters. In contrast, southern estuaries operate as export-dominated pathways, where intensified along-shelf transport favors downstream dispersal, shorter residence times, and more frequent advective losses.
Interannual variability further modulates these outcomes. Stronger Brazil Current conditions enhance dispersal distances, stratification, and thermal stress, whereas weaker circulation and intensified shelf recirculation promote confinement and alter the balance between retention, exposure, and mortality. Although direct toxic mortality was not quantified, the recurrent overlap between larval trajectories and metal-enriched waters identifies persistent pathways of potential sublethal stress that may influence recruitment across connected mangrove systems. By extending the time larvae remain within areas of elevated msPAF, these pathways may reduce long-term recruitment success and compromise the viability of recipient populations that depend on external larval supply. This framework resolves regional transport and exposure patterns but not direct toxic mortality or fine-scale larval behavior. Future work should consider monitoring U. cordatus in affected areas to evaluate possible impacts on population structure. This study provides a marine-connectivity perspective to transboundary disaster assessment and may guide future investigations.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/environments13050282/s1, Figure S1: Model validation of daily time series for sea level, cross-shelf velocity, and along-shelf velocity at the mooring sites; Table S1: Spearman correlation coefficients (R) and root mean square error (RMSE) between modeled and observed daily time series of sea level, along-shelf velocity, and cross-shelf velocity at the three mooring sites used for model validation; Figure S2: Climatology of wind direction and intensity for January, February, March, and April in 2022, 2023, and 2024; Table S2: Percentage occurrence of wind directions from January to April in 2022, 2023, and 2024 at PMBA/Fest mooring 3 (39.73° W, 19.60° S); Table S3: Monthly percentage occurrence of wind directions from January to April 2022 at PMBA/Fest mooring 3 (39.73° W, 19.60° S); Table S4: Monthly percentage occurrence of wind directions from January to April 2023 at PMBA/Fest mooring 3 (39.73° W, 19.60° S); Table S5: Monthly percentage occurrence of wind directions from January to April 2024 at PMBA/Fest mooring 3 (39.73° W, 19.60° S); Figure S3: Annual climatology of current direction at Caravelas, São Mateus, Doce River, and Piraquê-Açu–Mirim; Figure S4: Monthly climatology of current direction at Caravelas from January to April in 2022, 2023, and 2024; Figure S5: Monthly climatology of current direction at São Mateus from January to April in 2022, 2023, and 2024; Figure S6: Monthly climatology of current direction at Doce River from January to April in 2022, 2023, and 2024; Figure S7: Monthly climatology of current direction at Piraquê-Açu–Mirim from January to April in 2022, 2023, and 2024.

Author Contributions

Conceptualization, N.d.A.G., M.D.D., K.S.S.O., N.R.S., M.M.P.T. and B.P.F.; methodology, N.d.A.G., S.A.R.d.F., L.d.F.M., M.S.S., M.M.P.T. and B.P.F.; software, N.d.A.G., S.A.R.d.F., L.d.F.M. and D.F.M.G.; validation, N.d.A.G., S.A.R.d.F., L.d.F.M. and M.S.S.; formal analysis, N.d.A.G., S.A.R.d.F., L.d.F.M. and M.S.S.; investigation, N.d.A.G., S.A.R.d.F., L.d.F.M., M.S.S., D.F.M.G., G.D.P., M.M.P.T., I.C.S. and B.P.F.; data curation, N.d.A.G., S.A.R.d.F., L.d.F.M., M.S.S. and B.P.F.; writing—original draft preparation, N.d.A.G., S.A.R.d.F., L.d.F.M. and B.P.F. All authors writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data will be made available on request.

Acknowledgments

The present study was developed with turbidity data of the Aquatic Biodiversity Monitoring, established by the TechnicalScientific Agreement (001/2018) between UFES-FEST-Renova Foundation. During the preparation of this manuscript, the authors used ChatGPT (OpenAI, version GPT-5.3) for grammar revision and text organization. The authors reviewed and edited the results and assumed full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Study area showing the spawning (larval release) sites Caravelas (A), São Mateus (B), Doce River (C), and Piraquê Açu–Mirim (D) (black polygons). Potential recruitment areas, defined based on the presence of suitable mangrove habitat, include São João da Barra (E), Cabo Frio (F), and Rio de Janeiro (G) (red polygons), as well as the spawning sites, where local retention may occur. Mangrove areas are shown in green. A schematic representation of the Brazil Current (BC), the Royal Charlotte Eddy (RCE), the Abrolhos Eddy (AE), and the Vitória Eddy (VE) is shown. The 200 m isobath, marking the continental shelf break, is depicted in yellow, and the 2000 m isobath in pink.
Figure 1. Study area showing the spawning (larval release) sites Caravelas (A), São Mateus (B), Doce River (C), and Piraquê Açu–Mirim (D) (black polygons). Potential recruitment areas, defined based on the presence of suitable mangrove habitat, include São João da Barra (E), Cabo Frio (F), and Rio de Janeiro (G) (red polygons), as well as the spawning sites, where local retention may occur. Mangrove areas are shown in green. A schematic representation of the Brazil Current (BC), the Royal Charlotte Eddy (RCE), the Abrolhos Eddy (AE), and the Vitória Eddy (VE) is shown. The 200 m isobath, marking the continental shelf break, is depicted in yellow, and the 2000 m isobath in pink.
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Figure 2. Larval dispersion patterns of the crab U. cordatus (a) for the months of January, February, March, and April for the years 2022, 2023, and 2024 superimposed on the Aquatic Biodiversity Monitoring Program (PMBA/Fest) sampling grid (light orange). The colors red, green, pink, and blue represent spawning areas for Caravelas, São Mateus, Doce River, and Piraquê Açu–Mirim, respectively. Boxplots of the total distance traveled by surviving larvae (b) for the spawning years 2022, 2023, and 2024 were calculated separately for each spawning area. The colors of the boxes in red, green, pink, and blue represent the spawning areas of Caravelas, São Mateus, the River, and Piraquê Açu–Mirim, respectively. The horizontal black lines are the median values, and the outliers are the red circles.
Figure 2. Larval dispersion patterns of the crab U. cordatus (a) for the months of January, February, March, and April for the years 2022, 2023, and 2024 superimposed on the Aquatic Biodiversity Monitoring Program (PMBA/Fest) sampling grid (light orange). The colors red, green, pink, and blue represent spawning areas for Caravelas, São Mateus, Doce River, and Piraquê Açu–Mirim, respectively. Boxplots of the total distance traveled by surviving larvae (b) for the spawning years 2022, 2023, and 2024 were calculated separately for each spawning area. The colors of the boxes in red, green, pink, and blue represent the spawning areas of Caravelas, São Mateus, the River, and Piraquê Açu–Mirim, respectively. The horizontal black lines are the median values, and the outliers are the red circles.
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Figure 3. Proportion of particles released from spawning areas that were alive (blue) or died by lethal temperature (yellow) or were advected to habitats not suitable for recruitment (gray) of U. cordatus larvae for the years 2022, 2023, and 2024 for each spawning area (source).
Figure 3. Proportion of particles released from spawning areas that were alive (blue) or died by lethal temperature (yellow) or were advected to habitats not suitable for recruitment (gray) of U. cordatus larvae for the years 2022, 2023, and 2024 for each spawning area (source).
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Figure 4. Seasonal evolution of the thermal structure and wind-stress curl during the spawning seasons at moorings M1 and M3, with their locations shown in panel (a). Panels (b,d,f) show the daily surface–bottom temperature difference (ΔT = Ts − Tb) for each spawning region, while panels (c,e,g) show the wind-stress curl at sampling stations F1 and F3 from January to May in 2022, 2023, and 2024.
Figure 4. Seasonal evolution of the thermal structure and wind-stress curl during the spawning seasons at moorings M1 and M3, with their locations shown in panel (a). Panels (b,d,f) show the daily surface–bottom temperature difference (ΔT = Ts − Tb) for each spawning region, while panels (c,e,g) show the wind-stress curl at sampling stations F1 and F3 from January to May in 2022, 2023, and 2024.
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Figure 5. Distribution of msPAF NOEC throughout the monitoring sites between 2022, 2023, and 2024, considering the seasonal variability of the index (i.e., variability between rainy and dry periods). Warmer colors represent a higher probability that freshwater and marine environments are not sufficiently protected; that is, they are vulnerable to the mixture of metals quantified in the water column. Panel (a) shows empirical msPAF fields derived from in situ water-quality measurements, whereas panel (b) shows larval exposure times calculated from simulated trajectories during the spawning months of 2022, 2023, and 2024.
Figure 5. Distribution of msPAF NOEC throughout the monitoring sites between 2022, 2023, and 2024, considering the seasonal variability of the index (i.e., variability between rainy and dry periods). Warmer colors represent a higher probability that freshwater and marine environments are not sufficiently protected; that is, they are vulnerable to the mixture of metals quantified in the water column. Panel (a) shows empirical msPAF fields derived from in situ water-quality measurements, whereas panel (b) shows larval exposure times calculated from simulated trajectories during the spawning months of 2022, 2023, and 2024.
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Figure 6. Spatial and temporal destination of U. cordatus larvae released from the four spawning estuaries (Caravelas–red, São Mateus–green, Doce River–pink, and Piraquê Açu–Mirim–blue) during January–April for the 2022–2024 simulations. Colors indicate source regions.
Figure 6. Spatial and temporal destination of U. cordatus larvae released from the four spawning estuaries (Caravelas–red, São Mateus–green, Doce River–pink, and Piraquê Açu–Mirim–blue) during January–April for the 2022–2024 simulations. Colors indicate source regions.
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Figure 7. Connectivity rates between mangroves from Caravelas to the state of Rio de Janeiro for the years 2022, 2023, and 2024. The colors of the arrows are related to the percentage of larvae arriving in a region (arrow) from one of the four source regions (start of the arrow highlighted in the legend). The asterisks (*) indicate the spawning sites.
Figure 7. Connectivity rates between mangroves from Caravelas to the state of Rio de Janeiro for the years 2022, 2023, and 2024. The colors of the arrows are related to the percentage of larvae arriving in a region (arrow) from one of the four source regions (start of the arrow highlighted in the legend). The asterisks (*) indicate the spawning sites.
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Figure 8. Mean relative vorticity fields (S−1)(January–April) over the southeastern Brazilian shelf. Negative values (blue tones) indicate regions of enhanced horizontal shear and surface-layer divergence, while positive values (red tones) represent convergent circulation. Arrows show surface current vectors derived from the model. The persistent negative-vorticity band south of the Doce River mouth (19–20.7° S) and the dipole structure near São Mateus (18.5–19° S) correspond to the main dispersal corridors followed by simulated U. cordatus larvae.
Figure 8. Mean relative vorticity fields (S−1)(January–April) over the southeastern Brazilian shelf. Negative values (blue tones) indicate regions of enhanced horizontal shear and surface-layer divergence, while positive values (red tones) represent convergent circulation. Arrows show surface current vectors derived from the model. The persistent negative-vorticity band south of the Doce River mouth (19–20.7° S) and the dipole structure near São Mateus (18.5–19° S) correspond to the main dispersal corridors followed by simulated U. cordatus larvae.
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Table 1. Biological parameters of U. cordatus used as input for biological simulation experiments.
Table 1. Biological parameters of U. cordatus used as input for biological simulation experiments.
ParametersU. cordatusReferences
Total number of released particles96.000-
Pelagic larval duration30 days[59]
Spawning seasonJanuary to April[59,60]
Lunar phasesAfter the full and new moon[59]
Diel vertical migration depth−20 (day) to −30 (night) m[61]
Temperature optimum range(20 °C to 30 °C)[26,62]
Turbulent dissipation rate1 × 10−9 m2·s−3[63]
Sunset and sunrise6:00 and 18:00-
Coastline behaviorBouncing-
Advection methodRunge–Kutta 4-
Simulation years2022 to 2024-
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MDPI and ACS Style

Gouveia, N.d.A.; Fonseca, S.A.R.d.; Mota, L.d.F.; Santana, M.S.; Gherardi, D.F.M.; Di Domenico, M.; Oliveira, K.S.S.; Bom, F.C.; Simões, N.R.; Pinha, G.D.; et al. Connectivity of Mangrove Crab Populations Reveals Potential Exposure of Larvae to Metalloid Pollutants. Environments 2026, 13, 282. https://doi.org/10.3390/environments13050282

AMA Style

Gouveia NdA, Fonseca SARd, Mota LdF, Santana MS, Gherardi DFM, Di Domenico M, Oliveira KSS, Bom FC, Simões NR, Pinha GD, et al. Connectivity of Mangrove Crab Populations Reveals Potential Exposure of Larvae to Metalloid Pollutants. Environments. 2026; 13(5):282. https://doi.org/10.3390/environments13050282

Chicago/Turabian Style

Gouveia, Nelson de Almeida, Sabrina Aparecida Ramos da Fonseca, Lucas de Farias Mota, Manuela Santos Santana, Douglas Francisco Marcolino Gherardi, Maikon Di Domenico, Kyssyane Samihra Santos Oliveira, Fábio Cavalca Bom, Nadson Ressyé Simões, Gisele Daiane Pinha, and et al. 2026. "Connectivity of Mangrove Crab Populations Reveals Potential Exposure of Larvae to Metalloid Pollutants" Environments 13, no. 5: 282. https://doi.org/10.3390/environments13050282

APA Style

Gouveia, N. d. A., Fonseca, S. A. R. d., Mota, L. d. F., Santana, M. S., Gherardi, D. F. M., Di Domenico, M., Oliveira, K. S. S., Bom, F. C., Simões, N. R., Pinha, G. D., Ghisolfi, R. D., Tognella, M. M. P., Sá, F., Costa, F. d. M., Saraiva, I. C., Ribeiro, F. C. P., Altoé Porto, L., Lima, K. O. d. O., & Ferreira, B. P. (2026). Connectivity of Mangrove Crab Populations Reveals Potential Exposure of Larvae to Metalloid Pollutants. Environments, 13(5), 282. https://doi.org/10.3390/environments13050282

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