Rapid Effects of Marine Reserves via Larval Dispersal

doi:10.1201/b14535-12

Cited by 9 publications

(16 citation statements)

References 59 publications

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“…For example, seagrasses have long been thought to substantially contribute to coral reef fish populations (Orth et al 1984, Serrano et al 2017, both through functioning as juvenile resident areas (Orth et al 1984, Verweij et al 2008) and as feeding habitats (Zieman 1982, Verweij et al 2006). In addition, anthropogenic pressures (via higher levels of nearby human population density) have been universally linked to declines in fish populations via fishing pressure, water quality impacts, and habitat degradation (Stallings 2009, Advani et al 2015, Serafy et al 2015. However, while many studies have investigated the contribution of mangrove forests to reef fish abundance, they have been limited by the fact that seagrass beds grow in close proximity to mangrove forests, which complicates interpretation , Dorenbosch et al 2004, Serafy et al 2015.…”

Section: Introductionmentioning

confidence: 99%

Non‐linear thresholds characterize the relationship between reef fishes and mangrove habitat

et al. 2017

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. 2017. Non-linear thresholds characterize the relationship between reef fishes and mangrove habitat. Ecosphere 8(9):e01943. 10. 1002/ecs2.1943 Abstract. A significant obstacle to evaluating the importance of mangrove habitat to coral reef fishes has been the difficulty of disentangling its effects from other subtidal/nearshore habitats or human population pressures. Florida's seascape, unlike most others, has been extensively surveyed and mapped, and there are reliable estimates of human population density. Despite many studies that have correlated reef fish abundance with nearby mangrove habitat, some researchers continue to question the importance of mangroves to reef fishes. Previous studies that have investigated the mangrove-reef fish subsidy effect have applied methods that either compared averages or examined linear relationships; yet there is a body of literature that indicates that the effects of habitat are characterized by thresholds and limiting functions. Here, we employed a generalized additive model to investigate whether species richness of 106 mangrove-associated reef fishes is related to thresholds in the extent of nearby mangrove forests along the Florida Keys Reef Tract. In addition, we used linear discriminant analyses (LDAs) to examine the relationships between the occurrence of 77 reef fish species and extent of Florida mangrove forests. We found that after accounting for confounding factors, at scales <20 km 2 , species richness declines with decreasing mangrove extent, whereas richness increases with increasing mangrove extent at scales >80 km 2 . Results of our LDA suggested that at least 49 reef fish species (64% of focal species) were associated with higher nearby mangrove forest extent. Our results indicate that of all habitat attributes considered, mangroves played the most substantial role in the diversity of nearby reef fish populations. These apparent thresholds (i.e., non-linearities) in the extent of mangrove forests should be incorporated into fisheries critical habitat management and emphasize the need to consider non-linear relationships between fishes and their habitat.

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Section: Introductionmentioning

confidence: 99%

Non‐linear thresholds characterize the relationship between reef fishes and mangrove habitat

et al. 2017

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“…Drastic reductions in Nassau grouper abundance are likely to impact negatively the long-term survivability of the species and overall reef health (Sadovy de Mitcheson & Colin, 2012). Compared with the Caribbean, densities and sighting frequencies of Nassau grouper in The Bahamas are relatively high (Dahlgren, Sherman, Lang, Kramer, & Marks, 2016;Stallings, 2009). This may be due to availability of required habitats or the occurrence of a greater number of reported Nassau grouper FSAs in the country.…”

Section: Nassau Groupermentioning

confidence: 99%

“…fish stocks and the rate at which declines are occurring can be debated, there is agreement that declines are likely to persist without strategic management (e.g., Branch, Jensen, Ricard, Ye, & Hilborn, 2011;Worm et al, 2009). Small island developing states (SIDS), such as The Bahamas, are vulnerable to the impacts listed above and have experienced declining trends for many commercially important species (e.g., Stallings, 2009;Stoner, Davis, & Booker, 2012a;Stoner, Davis, & Booker, 2012bSherman, Dahlgren, Stevens, & Tyler, 2016.…”

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confidence: 99%

Contemporary and emerging fisheries in The Bahamas—Conservation and management challenges, achievements and future directions

Sherman

Shultz

Dahlgren

et al. 2018

Fisheries Management Eco

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The harvest of marine resources has long‐standing cultural and economic importance to The Bahamas and other small island developing states. Tourists and residents place a demand on local marine resources, particularly Caribbean spiny lobster, Panulirus argus (Latreille), queen conch, Lobatus gigas (Linnaeus) and Nassau grouper, Epinephelus striatus (Bloch), and many fishery products are also sold on the global market. Illegal, unreported and unregulated fishing coupled with inadequate regulations and enforcement are the main factors contributing to the decline of Bahamian fisheries along with other anthropogenic impacts. This article reviews the status of fisheries management in The Bahamas using economically and ecologically important species as case studies to highlight conservation successes, knowledge gaps and deficiencies in existing management approaches. The review concludes with an examination of how emerging fisheries and improved conservation management strategies have the potential to improve economic and food security throughout the archipelago.

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“…As reefs degrade, it is expected that fish communities will have fewer specialist species and a greater proportion of generalist species (Alvarez-Filip, Paddack, Collen, Robertson, & Côté, 2015). In the last 10 years, fish abundance has declined through the entire Caribbean region (Paddack et al, 2009), particularly large-bodied fishes (Stallings, 2009). Hurricanes, ocean acidification, declining water quality and physical damage from fishing gears are some of the main causes of seascape homogenization causing reef flattening and a general decline in architectural complexity (Alvarez-Filip et al, 2009;Alvarez-Filip et al, 2011).…”

Section: Limitations Of the Study And Future Researchmentioning

confidence: 99%

Explaining island‐wide geographical patterns of Caribbean fish diversity: A multi‐scale seascape ecology approach

Sekund

Pittman

2017

Marine Ecology

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Geographical patterning of fish diversity across coral reef seascapes is driven by many interacting environmental variables operating at multiple spatial scales. Identifying suites of variables that explain spatial patterns of fish diversity is central to ecology and informs prioritization in marine conservation, particularly where protection of the highest biodiversity coral reefs is a primary goal. However, the relative importance of conventional within‐patch variables versus the spatial patterning of the surrounding seascape is still unclear in the ecology of fishes on coral reefs. A multi‐scale seascape approach derived from landscape ecology was applied to quantify and examine the explanatory roles of a wide range of variables at different spatial scales including: (i) within‐patch structural attributes from field data (5 × 1 m2 sample unit area); (ii) geometry of the seascape from sea‐floor maps (10–50 m radius seascape units); and wave exposure from a hydrodynamic model (240 m resolution) for 251 coral reef survey sites in the US Virgin Islands. Non‐parametric statistical learning techniques using single classification and regression trees (CART) and ensembles of boosted regression trees (TreeNet) were used to: (i) model interactions; and (ii) identify the most influential environmental predictors from multiple data types (diver surveys, terrain models, habitat maps) across multiple spatial scales (1–196,350 m2). Classifying the continuous response variables into a binary category and instead predicting the presence and absence of fish species richness hotspots (top 10% richness) increased the predictive performance of the models. The best CART model predicted fish richness hotspots with 80% accuracy. The statistical interaction between abundance of living scleractinian corals measured by SCUBA divers within 1 m2 quadrats and the topographical complexity of the surrounding sea‐floor terrain (150 m radius seascape unit) measured from a high‐resolution terrain model best explained geographical patterns in fish richness hotspots. The comparatively poor performance of models predicting continuous variability in fish diversity across the seascape could be a result of a decoupling of the diversity‐environment relationship owing to structural degradation leading to a widespread homogenization of coral reef structure.

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Rapid Effects of Marine Reserves via Larval Dispersal

Cited by 9 publications

References 59 publications

Non‐linear thresholds characterize the relationship between reef fishes and mangrove habitat

Non‐linear thresholds characterize the relationship between reef fishes and mangrove habitat

Contemporary and emerging fisheries in The Bahamas—Conservation and management challenges, achievements and future directions

Explaining island‐wide geographical patterns of Caribbean fish diversity: A multi‐scale seascape ecology approach

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