Submitted:
22 May 2026
Posted:
25 May 2026
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Area

2.2. Sampling and Data Collection
2.3. Data Analysis
2.3.1. Sex Ratio and Morphometric Differences
2.3.2. Length–Weight Relationship
2.3.3. Growth Parameters
2.3.4. Longevity (Age Limit)
2.3.5. Instantaneous Mortality Rates
2.3.6. Exploitation Rate
2.3.7. Reliability of Biological Parameters
3. Results
3.1. Size and Weight Structure
3.2. Length–Weight Relationship
3.3. Differences Between Sexes and Sex Ratio
3.4. Growth Parameters
3.5. Growth Performance Reliability
3.6. Instantaneous Mortality Rates
3.6.1. Total Mortality (Z)
3.6.2. Natural Mortality (M), Fishing Mortality (F), and Exploitation Rate (E)
3.6.3. Reliability of Biological Parameters
4. Discussion
4.1. Growth Parameters and Sexual Dimorphism in the Regional Context
4.2. Exploitation Rate as a Diagnostic Indicator: Contribution of Sex-Specific Analysis
4.3. Implications for Conservation in a Triple Ecological Value Zone
4.4. Management Recommendations in a Data-Limited and High Conservation Value Context
4.5. Study Limitations and Future Perspectives
5. Conclusions
- 1)
- The growth parameters estimated for M. cephalus (females: L∞ = 463 mm, k = 0.14 year⁻¹; males: L∞ = 411 mm, k = 0.10 year⁻¹; combined sexes: L∞ = 562 mm, k = 0.14 year⁻¹) and for M. curema (L∞ = 329 mm, k = 0.15 year⁻¹) at the MSLMR are biologically plausible and consistent with values reported in the literature for the Gulf of Mexico and other regions [20,50,52,54], validating the methodological approach used for data-limited conditions.
- 2)
- The presence of sexual dimorphism in M. cephalus was confirmed, evidenced by significant differences in size, weight, length–weight relationship curves, and growth parameters between females and males [55,56]. Females reach a larger asymptotic length and grow faster than males, a pattern that should be considered in future assessment and management studies. In contrast, M. curema did not present sexual dimorphism, justifying its analysis with combined sexes.
- 3)
- The estimated exploitation rates were notably high in all analyzed categories: M. cephalus (females = 0.891, males = 0.915, combined sexes = 0.944) and M. curema (combined sexes = 0.828). These values far exceed both Gulland's classic reference point [7] (E = 0.5) and Patterson's more conservative one [9] (E = 0.4). This result allows us to conclude that both stocks are in a state of severe overexploitation.
- 4)
- The proposed hypothesis is confirmed: fishing mortality rates (F) exceed natural mortality rates (M) in all analyzed categories (F/M between 8.2 and 16.7), which explains the decline observed in catches during the last decade and confirms the overexploitation status of both resources.
- 5)
- A particularly relevant finding is that the documented overexploitation occurs in an area with triple conservation value: the PA-Laguna Madre [15], the RTP-83-Laguna Madre [17], and the RMP-44-Laguna Madre [18] of CONABIO. This condition contradicts the "sustainable use" objectives established in the PA-Laguna Madre Management Plan [16] and in the priority region designations, revealing a critical disconnect between the formal recognition of the area's ecological value and the actual condition of the fishery resources it sustains.
- 6)
- A coordinated management program between fishing authorities (National Commission for Aquaculture and Fisheries, CONAPESCA) and environmental authorities (National Commission of Natural Protected Areas, CONANP) is urgently needed, including: (a) strengthening surveillance at the landing sites of the towns of La Pesca and Miguel de la Madrid Hurtado; (b) adoption of Patterson's reference point [9] (E = 0.4) as a management target; (c) review and adjustment of fishing gear selectivity to allow juvenile escape; (d) protection of nursery areas identified within the PA-Laguna Madre; (e) implementation of a continuous monitoring program based on simple indicators [72]; (f) development of co-management schemes with active fisher participation [73,74]; and (g) establishment of a joint monitoring program involving CONANP, CONABIO, IMIPAS, and academic institutions.
- 7)
- The methodological approach employed, based on simple indicators (exploitation rate E = F/Z, and size comparison), proved to be a useful, low-cost, and scientifically robust tool for diagnosing the exploitation status of fishery resources in data-limited contexts [1,9]. This approach is particularly valuable for artisanal fisheries in developing countries and for high conservation value areas, where available scientific information is scarce but the need for reliable diagnoses is urgent.
- 8)
- The replication of this assessment model is recommended for other commercially important species present in the region (such as pompano, drum, snapper, and croaker), as well as in other coastal protected areas of Mexico, as part of a national strategy for data-limited fisheries assessment that can generate preliminary diagnoses to guide future management and research.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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| Dataset | Measure | Total Length (mm) | Total Weight (g) |
|---|---|---|---|
| Mugil cephalus | Mean | 317 | 325.5 |
| Mugil cephalus | Minimum | 205 | 155 |
| Mugil cephalus | Maximum | 530 | 1,511 |
| Mugil cephalus | Standard deviation | 3.9 | 128.7 |
| Mugil curema | Mean | 271 | 176.9 |
| Mugil curema | Minimum | 235 | 114 |
| Mugil curema | Maximum | 310 | 266 |
| Mugil curema | Standard deviation | 1.8 | 34.5 |
| Dataset | a | b | r² | Growth type |
|---|---|---|---|---|
| Mugil cephalus (F) | 0.0723 | 2.422 | 0.989 | Negative allometric |
| Mugil cephalus (M) | 0.0335 | 2.637 | 0.977 | Negative allometric |
| Mugil cephalus (C) | 0.0240 | 2.740 | 0.978 | Negative allometric |
| Mugil curema (F) | 0.0146 | 2.422 | 0.973 | Negative allometric |
| Mugil curema (M) | 0.0108 | 2.942 | 0.971 | Isometric |
| Mugil curema (C) | 0.0146 | 2.848 | 0.988 | Negative allometric |
| Dataset | Method | L∞ (mm) | k (year⁻¹) | t₀ | A₀.₉₅ (years) | Z/k | Score "Rn" |
|---|---|---|---|---|---|---|---|
| M. cephalus (F) | ELEFAN | 463 | 0.170 | -0.33 | 17 | - | 0.85 |
| M. cephalus (F) | Shepherd's | 463 | 0.140 | -0.24 | 21 | - | 1.00 |
| M. cephalus (F) | Powell | 421 | - | - | - | 0.813 | - |
| M. cephalus (M) | ELEFAN | 410 | 0.200 | -0.39 | 15 | - | 0.62 |
| M. cephalus (M) | Shepherd's | 410 | 0.100 | -0.07 | 30 | - | 1.00 |
| M. cephalus (M) | Powell | 377 | - | - | - | 1.109 | -0.96 |
| M. cephalus (C) | ELEFAN | 561 | 0.170 | -0.35 | 17 | - | 0.423 |
| M. cephalus (C) | Shepherd's | 561 | 0.140 | -0.26 | 21 | - | 1.00 |
| M. cephalus (C) | Powell | 391 | - | - | - | 0.903 | -0.916 |
| M. curema (C) | ELEFAN | 328 | 0.590 | -0.85 | 4 | - | 0.77 |
| M. curema (C) | Shepherd's | 328 | 0.150 | -0.23 | 20 | - | 1.00 |
| M. curema (C) | Powell | 314 | - | - | - | 0.890 | - |
| Dataset | Method for Z estimation | Z | r² | Mean L | L' | Lmax | Confidence intervals |
| M. cephalus (F) | Linearized catch curve | 0.21 | 0.76 | - | - | - | 0.13-0.280 |
| M. cephalus (F) | Jones & van Zalinge (1981) | 2.025 | 0.97 | - | - | - | 1.845-2.206 |
| M. cephalus (F) | Beverton & Holt (1975) | 0.17 | - | 349 | 255 | - | - |
| M. cephalus (F) | Ault & Ehrhardt (1991) | 0.15 | - | 349 | 245 | 440 | - |
| M. cephalus (M) | Linearized catch curve | 0.19 | 0.93 | - | - | - | 0.16-0.230 |
| M. cephalus (M) | Jones & van Zalinge (1981) | 2.115 | 0.98 | - | - | - | 1.976-2.252 |
| M. cephalus (M) | Beverton & Holt (1975) | 0.14 | - | 308 | 235 | - | - |
| M. cephalus (M) | Ault & Ehrhardt (1991) | 0.12 | - | 308 | 235 | 390 | - |
| M. cephalus (C) | Linearized catch curve | 0.65 | 0.95 | - | - | - | 0.60-0.100 |
| M. cephalus (C) | Jones & van Zalinge (1981) | 3.72 | 0.96 | - | - | - | 3.453-3.987 |
| M. cephalus (C) | Beverton & Holt (1975) | 0.306 | - | 317 | 205 | - | - |
| M. cephalus (C) | Ault & Ehrhardt (1991) | 0.286 | - | 317 | 205 | 530 | - |
| M. curema (C) | Linearized catch curve | 0.13 | 0.99 | - | - | - | 0.12-0.130 |
| M. curema (C) | Jones & van Zalinge (1981) | 1.455 | 0.98 | - | - | - | 1.311-1.600 |
| M. curema (C) | Beverton & Holt (1975) | 0.251 | - | 270 | 235 | - | - |
| M. curema (C) | Ault & Ehrhardt (1991) | 0.191 | - | 270 | 235 | 310 | - |
| Dataset | Z (year⁻¹) | M (year⁻¹) | F (year⁻¹) | E | Confidence interval for E |
|---|---|---|---|---|---|
| M. cephalus (F) | 2.025 | 0.22 | 1.805 | 0.891 | 0.881-0.900 |
| M. cephalus (M) | 2.115 | 0.18 | 1.935 | 0.915 | 0.909-0.920 |
| M. cephalus (C) | 3.720 | 0.21 | 3.510 | 0.944 | 0.939-0.947 |
| M. curema (C) | 1.455 | 0.25 | 1.205 | 0.828 | 0.809-0.844 |
| Dataset | Shepherd's method | ELEFAN method |
|---|---|---|
| M. cephalus (F) | 1.6 | 1.5 |
| M. cephalus (M) | 1.8 | 1.5 |
| M. cephalus (C) | 1.5 | 1.4 |
| M. curema (C) | 1.7 | 1.1 |
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