Understanding the connectivity patterns of marine populations is essential for their management and conservation. In the case of sedentary marine populations, connectivity stems not only from the stochastic nature of the physical environment that affects early-life stages dispersal, but also by the spawning stock attributes that affect reproductive output (e.g., passive eggs and larvae) and its survivorship, constituting the so-called spatial reproductive system. Despite these key properties of marine populations, the design of networks of MPAs often disregard connectivity patterns. In this context, connectivity networks' properties, such as betweenness and closeness, can provide valuable input for MPA network design to achieve conservation and fisheries objectives. We performed a step-by-step analysis, increasing the level of network complexity, to assess connectivity patterns of early life stages of marine species from a MPAs network in the Western Mediterranean. A hydrodynamic model was coupled to evaluate the dispersion of eggs and larvae after 21 days of transport, obtaining a connectivity network of hydrodynamic distances. Then, the painted comber, a sedentary and coastal fish with ca. 21 days of pelagic larval duration, was selected as model species to address questions related to a specific reproductive system. The hydrodynamic network was updated by coupling information on the total egg production per site and available habitat for spawning and nursery. This biophysical network illustrates how the demographic characteristics impact the properties of the reproductive system. New network properties emerged when centrality measures from graph theory were studied. Finally, a hypothetical scenario explored alternative MPA network configurations, demonstrating how simple spatial decisions based on connectivity measures could improve recruitment and average network connectivity.
Understanding the connectivity patterns of marine populations is essential for their management and conservation. In the case of sedentary marine populations, connectivity stems not only from the stochastic nature of the physical environment that affects early-life stages dispersal, but also by the spawning stock attributes that affect reproductive output (e.g., passive eggs and larvae) and its survivorship, constituting the so-called spatial temporal spawner-recruit system. Despite these key properties of marine populations, the design of networks of MPAs often disregard connectivity patterns. In this context, connectivity networks' properties, can provide valuable input for MPA network design to achieve conservation and fisheries objectives. We performed a step-by-step analysis, increasing the level of network complexity, to assess connectivity patterns of early life stages of marine species from a MPAs network in the Western Mediterranean. A hydrodynamic model was coupled to evaluate the dispersion of eggs and larvae after 21 days of transport, obtaining a connectivity network of hydrodynamic distances. Then, the painted comber, a sedentary and coastal fish with ca. 21 days of pelagic larval duration, was selected as model species to address questions related to a specific spawner-recruit system. The hydrodynamic network was updated by coupling information on the total egg production per site and available habitat for spawning and nursery. This biophysical network illustrates how the demographic characteristics impact the properties of the spawner-recruit system. New network properties emerged when centrality measures from graph theory were studied. Finally, a hypothetical scenario explored alternative MPA network configurations, demonstrating how simple spatial decisions based on connectivity measures could improve recruitment and average network connectivity.
R
reproductive
temporal spawner-recruit
D
such as betweenness and closeness,
R
reproductive
spawner-recruit
R
reproductive
spawner-recruit