Loggerhead marine turtle (Caretta caretta) ecological facts from a trophic relationship model in a hot spot fishery area: Gulf of Ulloa, Mexico

Morales-Zárate, María V.; López-Ramírez, J.A.; Salinas-Zavala, C.A.

doi:10.1016/j.ecolmodel.2020.109327

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…On some occasions, these subjective decisions are not justified, or are only vague [24]. Although a certain degree of subjectivity is required in any modeling exercise, its effects on the results should be considered before decision-making or formulating strategies based on such results [15].…”

Section: Resultsmentioning

confidence: 99%

“…Finally, a scenario of decreasing money supply-deriving from the restriction in economic activity-was calculated. For this purpose, a published model type, ECOPATH with ECOSIM [15], was developed and used for the demersal-pelagic system of the GU. This model used and combined the action of two forcing agents in the ECOSIM module: (1) an increase of 3 • C in sea surface (SST) over the average recorded in the California Current, based on the forecasts reported by the Intergovernmental Panel on Climate Change for the area of study [2], and (2) fishing effort.…”

Section: Fishing Restriction Scenario (Svi-scenario)mentioning

confidence: 99%

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Social Vulnerability of the Fishing Community to Restrictive Public Policies: Case Study the Gulf of Ulloa, Mexico

Salinas-Zavala

Morales-Zárate

Diaz-Santana-Iturrios

et al. 2022

Sustainability

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The social vulnerability approach (SV) establishes that social inequalities and disadvantages have developed beyond monetary poverty in the last few years, since the process is built at different scales. In its objectives, the SV multidimensional measurement is considered to be a priority tool in monitoring the compliance of the first goal: to eliminate poverty in all its forms. Therefore, the objective of this research is to calculate the SV of the fishing communities of the Gulf of Ulloa (GU), Mexico by macro-markers, to subsequently contrast them with field micro-data, and finally to perform a behavior scenario that takes into consideration the current public policies that restrict fishing in such areas. The results showed substantial differences depending on the type of information used (x20.05,8 = 41.53 > 15.51). A corrected contingency coefficient of 0.83 was obtained, indicating that the calculus depends strongly on the data and scale used, and suggesting that macro-data may be masking the true SV values in the area in such a way that they could be severely underestimated. Although the context of micro-scale is not the only one, SV should be calculated to analyze the fishing communities, as coastal fishery represents almost the total livelihood of the inhabitants. Nevertheless, these communities confront numerous local and global threats, and these pressures on SV put their livelihoods, well-being, food security and traditional lifestyles at risk. Therefore, the role of researching human dimensions and governance is not only basic, but also urgent in order to turn to sustainable socioeconomic management.

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Section: Resultsmentioning

confidence: 99%

Section: Fishing Restriction Scenario (Svi-scenario)mentioning

confidence: 99%

Social Vulnerability of the Fishing Community to Restrictive Public Policies: Case Study the Gulf of Ulloa, Mexico

Salinas-Zavala

Morales-Zárate

Diaz-Santana-Iturrios

et al. 2022

Sustainability

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“…The governance of these areas in general and fall within the responsibility of CO-NANP, although it is also carried out with the support of other governments and civil society institutions [33]. In addition, different academic institutions are also involved in the evaluation of the protected species populations [35][36][37][38]. .…”

Section: Other Effective Area-based Conservation Measures (Oecms) Fis...mentioning

confidence: 99%

Mexico on Track to Protect 30% of Its Marine Area by 2030

Perera-Valderrama,

Rosique-de la Cruz,

Caballero-Aragón

et al. 2023

Sustainability

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Mexico has committed to protecting 30% of its marine territory by 2030 to comply with Target 3 of the Kunming–Montreal Global Biodiversity Framework, adopted during the 15th Conference of the Parties to the Convention on Biological Diversity. In this paper, we demonstrate the feasibility of meeting this commitment by determining the marine extent of conservation measures based on legally established Marine Protected Areas and areas that meet the criteria to be considered as Other Effective area-based Conservation Measures (OECMs) and determining the marine extent of areas proposed in various conservation planning exercises that can be created as any of the area-based instruments that exist in Mexico. The total coverage of existing and proposed areas was calculated by merging the dataset to remove duplicates and dissolving the boundaries between polygons to determine the total area. Spatial analysis was carried out in ArcGIS using geoprocessing tools. Currently, more than 25% of Mexico’s marine area is legally protected or conserved, with federal marine protected areas covering more than 22% of the Exclusive Economic Zone. The legally established areas that can be considered OECMs cover about 3% of the marine territory. We found that more than 9% of Mexico’s Economic Exclusive Zone contains areas of high conservation importance that are not covered by any area-based instrument. This study shows that Mexico has the potential to protect or conserve 32.8% of its marine territory by 2030.

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Modeling the impacts of temperature during nesting seasons on Loggerhead (Caretta caretta) Sea Turtle populations in South Florida

Catron

Roth

Zumpano

et al. 2023

Ecological Modelling

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Loggerhead marine turtle (Caretta caretta) ecological facts from a trophic relationship model in a hot spot fishery area: Gulf of Ulloa, Mexico

Cited by 4 publications

References 20 publications

Social Vulnerability of the Fishing Community to Restrictive Public Policies: Case Study the Gulf of Ulloa, Mexico

Social Vulnerability of the Fishing Community to Restrictive Public Policies: Case Study the Gulf of Ulloa, Mexico

Mexico on Track to Protect 30% of Its Marine Area by 2030

Modeling the impacts of temperature during nesting seasons on Loggerhead (Caretta caretta) Sea Turtle populations in South Florida

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