Post larval, short-term, colonization patterns: The effect of substratum complexity across subtidal, adjacent, habitats

García-Sanz, Sara; Tuya, Fernando; Navarro, Pablo González; Angulo‐Preckler, Carlos; Haroun, Ricardo

doi:10.1016/j.ecss.2012.07.014

Cited by 15 publications

(10 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unfortunately, the numerical results obtained using different kinds of collectors are not readily comparable, and few studies in the literature have compared the performance in the field of different types of collectors (e.g. Hereu et al 2004, García-Sanz et al 2012.…”

Section: Introductionmentioning

confidence: 99%

Efficiency of artificial collectors for quantitative assessment of sea urchin settlement rates

et al. 2016

View full text Add to dashboard Cite

Summary:We tested the suitability of three different kinds of artificial collectors designed for quantitative assessment of echinoid settlement rates: (1) nylon nets containing plastic biofilter balls, (2) vertical scrub brushes with vegetal bristles and (3) horizontal triangular mats of coconut fibre. We measured the collecting efficiency by counting the number of post-larvae of two sea urchin species (Paracentrotus lividus and Arbacia lixula) gathered by each collector and deployed in two geographic areas: Tenerife (Canary Islands, eastern Atlantic) and Tossa de Mar (Costa Brava, northwestern Mediterranean). The plastic biofilter ball collector proved to be the most efficient design, collecting more settlers of both sea urchin species under all assayed conditions and showing a higher reproducibility than the other two designs. We therefore suggest using plastic biofilter balls in future studies aimed at quantifying echinoid settlement rates.

show abstract

Section: Introductionmentioning

confidence: 99%

Efficiency of artificial collectors for quantitative assessment of sea urchin settlement rates

et al. 2016

View full text Add to dashboard Cite

show abstract

“…This result may be an artifact caused by the presence of collectors on bottoms that lack provision of any shelter, i.e. an 'oasis' effect: attraction of new individuals to the only available substrate (García-Sanz et al, 2012). Indeed, individuals of P. lividus can easily move among adjacent habitat patches (Ceccherelli et al, 2009), which could guarantee further arrival of individuals to favorable rocky substrates covered by macroalgae (Tuya et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…Recruitment of D. africanum, P. lividus and A. lixula was assessed through artificial collectors (a cushion-shaped leaf-like unit), which has been previously shown to attract postlarvae and newly metamorphosed juveniles of seaurchins in the study area (García-Sanz et al, 2012). This collector consists of a plastic mesh frame (50 cm 2 , 2 cm diameter of mesh size) to which artificial leaves (green plastic raffia, 35 cm long and 10 mm wide) are attached every ca.…”

Section: Collector Deploymentmentioning

confidence: 99%

“…Raffia is positively buoyant under water and consequently tends to float upright. A total of 75 cm 2 of concealment gardening mesh (≤ 1 mm diameter) was included inside, creating small holes and shelters (for an image of the collector, see García-Sanz et al, 2012). Four artificial substrates (ASs) were deployed, on a monthly basis through one year (from February 2009 to February 2010), on each of the four habitats, at each locality.…”

Section: Collector Deploymentmentioning

confidence: 99%

“…At smaller scales, active larval choice and preferential recruitment onto the substratum are important in determining the distribution and abundance of benthic organisms, with physical factors such as surface texture, shear stress and patterns of water flow influencing patterns of recruitment (Mullineaux & Butman, 1991;Goldberg & Foster, 2002). For example, when different habitat patches are interspersed within coastal landscapes, the abundance and assemblage structure of new colonizers is affected by the identity of habitat patches (García-Sanz et al, 2012). In the particular case of sea-urchins, processes such as settlement, metamorphosis and recruitment might be induced by the presence of particular algae (Benedetti-Cecchi & Cinelli, 1995;Airoldi, 2000;Bulleri et al, 2002;Privitera et al, 2011) or conspecifics (Cellario & Fenaux, 1990;Gosselin & Jangoux, 1996).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Contrasting recruitment seasonality of sea urchin species in Gran Canaria, Canary Islands (eastern Atlantic)

2014

View full text Add to dashboard Cite

Although sea-urchins can play an important role affecting the community structure of subtidal bottoms, factors controlling the dynamics of sea-urchin populations are still poorly understood. We assessed the seasonal variation in recruitment of three sea-urchin species (Diadema africanum, Paracentrotus lividus and Arbacia lixula) at Gran Canaria Island (eastern Atlantic) via monthly deployment of artificial collectors throughout an entire annual cycle on each of four adjacent habitat patches (seagrasses, sandy patches, 'urchin-grazed' barrens and macroalgal-dominated beds) within a shallow coastal landscape. Paracentrotus lividus and A. lixula had exclusively one main recruitment peak in late winter-spring. Diadema africanum recruitment was also seasonal, but recruits appeared in late summer-autumn, particularly on 'urchin-grazed' barrens with large abundances of adult conspecifics. In conclusion, this study has demonstrated non-overlapping seasonal recruitment patterns of the less abundant species (P. lividus and A. lixula) with the most conspicuous species (D. africanum) in the study area.

show abstract

Using object-based image analysis to determine seafloor fine-scale features and complexity

Lacharité

Meta×as

Lawton

2015

Limnol. Oceanogr. Methods

View full text Add to dashboard Cite

Autonomous and remotely operated underwater vehicles equipped with high-definition video and photographic cameras are used to perform benthic surveys. These devices record fine-scale (< 1 m) seafloor features (seafloor complexity) and their local (10-100s m) variability (seafloor heterogeneity). Here, we introduce a methodology to efficiently process this optical imagery using object-based image analysis, which reduces the pixels in high-resolution digital images into a collection of "image-objects" of homogeneous color and/or luminosity. This approach uses intuitive user-defined parameters and reproducible computer code, which aims to facilitate comparisons between habitats and geographic regions. We test this methodology with 511 images taken on the seafloor of a glaciated continental shelf (Gulf of Maine, northwest Atlantic), and describe three applications: (1) estimating percent cover of conspicuous epibenthic fauna by building a Random Forest binary classifier assigning an identity to image-objects; (2) correlating image complexity (number of image-objects) with mean particle grain size; and (3) estimating seafloor heterogeneity from local variability in image complexity within and between two physiographic regions. Percent cover of epibenthic fauna estimated by the Random Forest binary classifier was in close agreement with the human visual assessment. Mean particle grain size (/ scale) was inversely correlated with image complexity (maximum Spearman's q 5 20.89, p < 0.01) with images dominated by pebbles, cobbles, boulders (low on / scale) yielding high image complexity. Predictive relationships of sediment composition were established using polynomial regression. Lastly, our approach could differentiate habitats within and between physiographic regions by using mean seafloor complexity and local variability along transects.Benthic habitat structure is composed of two factors: complexity, the absolute abundance of structural components (e.g., rocks, mounds); and heterogeneity, the variation in complexity due to changes in the relative abundance of these structural components (McCoy and Bell 1991;Sebens 1991). On sedimented substratum, complexity arises from the distribution of sediment grain size and small-scale topographic features (e.g., pits and burrows) resulting from local hydrodynamics and bioturbation. On hard substratum, in rocky intertidal and subtidal habitats, complexity is most often measured with a surface to area ratio [e.g., fractal dimensions (Kostylev et al. 2005), and the chain-and-tape approach (Risk 1972)], which is influenced by the presence of crevices, rock walls or biological structures. Seafloor complexity influences larval settlement (e.g., Walters and Wethey 1996), the abundance and diversity of invertebrate assemblages (e.g., Kostylev et al. 2005;Matias et al. 2010), predator-prey interactions (e.g., Grabowski 2004, and the concentration of organic matter (e.g., Abelson et al. 1993).Among other factors, spatial variability in fine-scale (< 1 m) seafloor complexity (i.e., sea...

show abstract

Post larval, short-term, colonization patterns: The effect of substratum complexity across subtidal, adjacent, habitats

Cited by 15 publications

References 39 publications

Efficiency of artificial collectors for quantitative assessment of sea urchin settlement rates

Efficiency of artificial collectors for quantitative assessment of sea urchin settlement rates

Contrasting recruitment seasonality of sea urchin species in Gran Canaria, Canary Islands (eastern Atlantic)

Using object-based image analysis to determine seafloor fine-scale features and complexity

Contact Info

Product

Resources

About