Temporal and spatial predictions of effect of alternative fishing policies for the Gran Canaria marine ecosystem

Couce-Montero, Lorena; Christensen, Villy; Sieyro, Alberto Bilbao; González, Yeray Pérez; Jiménez‐Alvarado, David; Castro, J.J.

doi:10.1111/jfb.14012

Cited by 8 publications

(3 citation statements)

References 30 publications

(52 reference statements)

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“…At present, island study areas are divided into square grids [31], administrative regions [32], landscapes [33][34][35], and land use types [36]. These do not fully consider fundamental factors, such as an island's actual development and utilization status and an island's environmental characteristics of both land and sea.…”

Section: Refinement Partitioning Methodsmentioning

confidence: 99%

Upgrading Island Tourism Value from the Perspective of the Tourist Experience—A Case Study of Tianheng Island, China

Yan

Wang

et al. 2022

Sustainability

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Although island tourism is vital to the economy of developing countries, many islands with great potential for tourism development do not plan for it adequately. The objective of this paper is to establish an island tourism value mining and promotion model from the tourist perspective by selecting the status value indicators of basic conditions, vacation tourism resources, and sightseeing tourism resources, as well as the promotion indicators of five types of recreational fisheries, including beach activities, recreational fishing, marine sports, rock climbing, and sightseeing platforms. Then, we evaluate the whole island and develop suitable areas by using an analytic hierarchy process. This study took Tianheng Island as an example and divided the study area into grids and land use types. The results indicate that the basic conditions and tourism resources of Tianheng Island are in a general level, and the vacation tourism resources are in high quality, while there is further room to improve them. We identified that the island has four areas which are suitable for scenic development, two sandy beaches, two recreation fishing areas, one marine sports area, and one island rock climbing area. Our findings are consistent with the actual situation in Tianheng Island, demonstrating that the model is practical and can provide an essential reference for the scientific protection and utilization of island tourism resources.

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Section: Refinement Partitioning Methodsmentioning

confidence: 99%

Upgrading Island Tourism Value from the Perspective of the Tourist Experience—A Case Study of Tianheng Island, China

Yan

Wang

et al. 2022

Sustainability

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“…Para el análisis de idoneidad, se recopilaron datos sobre hábitats bentónicos (procedentes de Datos Marinos y de los estudios Ecocartográficos de las Islas Canarias y de EMODnet -Red Europea de Observación) que se armonizaron aplicando el modelo de datos Habitats & Biotopes, de la Directiva INSPIRE 2007/2/EC (elaboración propia de los investigadores del IU-ECOAQUA); datos sobre distribución de especies sensibles como aves y mamíferos marinos (aplicando las bases de datos EUNIS, NA-TURA 2000 de Agencia Europea de Medio Ambiente); datos sobre grupos tróficos y distribución de poblaciones de peces (modelos de distribución desarrollados aplicando el ECOPATH y ECOSIM desarrollados por GMR & IU-ECOAQUA) (Couce Montero et al 2019); evaluación sobre impacto de ruidos, presión de especies no autóctonas y acumulación de desechos marinos (desarrollado por el Ministerio competente en medio ambiente del Gobierno de España durante el primer ciclo de implementación de la Directiva Marco de Estrategia Marina 2008/56/EC), integridad del fondo marino (producto EMODnet del portal Habitats); incluyendo información sobre la extensión y el tipo de áreas marinas protegidas (Base de datos de la red Natura 2000 y la "Common Database on Designated Areas" de Agencia Europea de Medio Ambiente). Las interacciones tierra-mar y las actividades humanas en la costa se analizaron utilizando el conjunto de datos CORINE (producto del servicio de monitoreo terrestre Copernicus); y las actividades marítimas se recopilaron a partir de iniciativas de datos regionales canarias (como GRAFCAN), nacionales (como el Instituto Español de Oceanografía) e internacionales (como el portal de actividades humanas de EMODnet).…”

Section: Metodologia En Colección De Datosunclassified

Geografía, cambio global y sostenibilidad. Comunicaciones del XXVII Congreso de la Asociación Española de Geografía.Tomo II Territorio, desigualdad y enfermedades

García Rodríguez

2021

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This contribution uses anonymous mobile phone data to study the impact of the Spanish lockdown on the daily dynamics of the Madrid metropolitan area (Spain). The analysis has been carried out for a reference week prior to the lockdown and during several weeks of the lockdown in which different restrictions were in place. During these weeks, presence profiles are obtained throughout the day for each type of land use. In addition, a multiple regression analysis is carried out to determine the impact of the different land uses on the local population. The results in the reference week, pre-COVID-19, show how the population in activity areas increases in each time slot on a specific day and how in residential areas it decreases. However, during the lockdown, activity areas cease to attract population during the day and the residential areas therefore no longer show a decrease. Only basic essential commercial activities, or others that require the presence of workers (industrial or logistics) maintain some activity during lockdown.

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“…Furthermore, in contexts where mixed fisheries are dominating, such as the Mediterranean Sea, defining the management areas on the basis of a single species might be questionable because FRAs neglect non‐secondary effects on other species, reducing the overall efficiency of the measures, while for strategic analyses complex ecosystem models spatially explicit can be used for disentangling the multispecies impacts of spatial measures (e.g., Couce Montero et al., 2019). The advantage of using an ensemble of SDM approaches might provide basis for a more tactical and direct application by identifying cumulative EFH for several species.…”

Section: Introductionmentioning

confidence: 99%

Identifying priority areas for spatial management of mixed fisheries using ensemble of multi‐species distribution models

Panzeri,

Russo,

Arneri

et al. 2023

Fish and Fisheries

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Spatial fisheries management is widely used to reduce overfishing, rebuild stocks, and protect biodiversity. However, the effectiveness and optimization of spatial measures depend on accurately identifying ecologically meaningful areas, which can be difficult in mixed fisheries. To apply a method generally to a range of target species, we developed an ensemble of species distribution models (e‐SDM) that combines general additive models, generalized linear mixed models, random forest, and gradient‐boosting machine methods in a training and testing protocol. The e‐SDM was used to integrate density indices from two scientific bottom trawl surveys with the geopositional data, relevant oceanographic variables from the three‐dimensional physical‐biogeochemical operational model, and fishing effort from the vessel monitoring system. The determined best distributions for juveniles and adults are used to determine hot spots of aggregation based on single or multiple target species. We applied e‐SDM to juvenile and adult stages of 10 marine demersal species representing 60% of the total demersal landings in the central areas of the Mediterranean Sea. Using the e‐SDM results, hot spots of aggregation and grounds potentially more selective were identified for each species and for the target species group of otter trawl and beam trawl fisheries. The results confirm the ecological appropriateness of existing fishery restriction areas and support the identification of locations for new spatial management measures.

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Temporal and spatial predictions of effect of alternative fishing policies for the Gran Canaria marine ecosystem

Cited by 8 publications

References 30 publications

Upgrading Island Tourism Value from the Perspective of the Tourist Experience—A Case Study of Tianheng Island, China

Upgrading Island Tourism Value from the Perspective of the Tourist Experience—A Case Study of Tianheng Island, China

Geografía, cambio global y sostenibilidad. Comunicaciones del XXVII Congreso de la Asociación Española de Geografía.Tomo II Territorio, desigualdad y enfermedades

Identifying priority areas for spatial management of mixed fisheries using ensemble of multi‐species distribution models

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