Modelling spatial distribution of the Croatian marine benthic habitats

Bakran‐Petricioli, Tatjana; Antonić, Oleg; Bukovec, Dragan; Petricioli, Donat; Janeković, Ivica; Križan, Josip; Kušan, Vladimir; Dujmović, Sandro

doi:10.1016/j.ecolmodel.2005.08.014

Cited by 18 publications

(9 citation statements)

References 22 publications

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“…These have the benefit of rapid image capture of large areas, but the disadvantage of nonzero error in the classification of benthic habitats [ 33 ]. Examples are single-beam echo sounding [ 34 , 35 ], sidescan sonar (see [ 36 ] and references therein), multi-beam sonar [ 37 , 38 ], aerial photography [ 34 , 39 , 40 ], and satellite imaging [ 41 – 43 ]. In each of these methods, the remote sensing data are compared to known ground survey points (the “training data”) to generate an objective or subjective model that allows prediction of the benthic habitat from those data.…”

Section: Methods and Resultsmentioning

confidence: 99%

“…Again, the in situ fieldwork necessary to establish that these conditions are met could alternatively be used to estimate habitat loss directly. High-resolution, aerial or satellite photography of Posidonia can be highly accurate if other vegetation is rare, but at present only at depths less than about 4 m [ 34 , 43 , 99 ], which prevents sentinel monitoring of the critical lower depth margin of Posidonia near 30 to 40 m with these methods. Note that all these examples use modern technology that would score high on the map reliability index proposed by [ 100 ].…”

Section: Discussionmentioning

confidence: 99%

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Error, Power, and Blind Sentinels: The Statistics of Seagrass Monitoring

et al. 2015

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We derive statistical properties of standard methods for monitoring of habitat cover worldwide, and criticize them in the context of mandated seagrass monitoring programs, as exemplified by Posidonia oceanica in the Mediterranean Sea. We report the novel result that cartographic methods with non-trivial classification errors are generally incapable of reliably detecting habitat cover losses less than about 30 to 50%, and the field labor required to increase their precision can be orders of magnitude higher than that required to estimate habitat loss directly in a field campaign. We derive a universal utility threshold of classification error in habitat maps that represents the minimum habitat map accuracy above which direct methods are superior. Widespread government reliance on blind-sentinel methods for monitoring seafloor can obscure the gradual and currently ongoing losses of benthic resources until the time has long passed for meaningful management intervention. We find two classes of methods with very high statistical power for detecting small habitat cover losses: 1) fixed-plot direct methods, which are over 100 times as efficient as direct random-plot methods in a variable habitat mosaic; and 2) remote methods with very low classification error such as geospatial underwater videography, which is an emerging, low-cost, non-destructive method for documenting small changes at millimeter visual resolution. General adoption of these methods and their further development will require a fundamental cultural change in conservation and management bodies towards the recognition and promotion of requirements of minimal statistical power and precision in the development of international goals for monitoring these valuable resources and the ecological services they provide.

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Section: Methods and Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Error, Power, and Blind Sentinels: The Statistics of Seagrass Monitoring

et al. 2015

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“…In a similar study, Chen, P., et al [88] used Landsat and SPOT (Satellite for Observation of Earth) satellite data for mapping the marine habitat in the Strait of Malacca. In the Mediterranean region, Bakran-Petricioli, T., et al [89] reported the spatial distribution of the marine benthic habitats of the coasts of the Republic of Croatia. Villa, P., et al [90] used in-situ data together with Landsat ETM+ to introduce two new vegetation indices for mapping aquatic plants: the NDAVI (Normalized Difference Aquatic Vegetation Index) and the WAVI (Water Adjusted Vegetation Index).…”

Section: Generalmentioning

confidence: 99%

Integrating Remote Sensing and Field Survey to Map Shallow Water Benthic Habitat for the Kingdom of Bahrain

Aljenaid¹,

Ghoneim²,

Mohammed³

et al. 2017

JESE-B

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Identification and classification, as well as mapping of marine habitats, are of primary importance to plan management activities, especially in disturbed ecosystems like the ones in the marine areas of Bahrain. Remotely sensed Landsat-8 imagery coupled with field survey was used to identify, classify and map the benthic habitats in Bahrain marine area. The used geospatial techniques include advanced image processing procedures, which comprise of radiometric and atmospheric corrections, sun glint removal, water depth correction and image classification. Extensive ground-truthing analyses through in-situ field surveys by a team of scuba divers were conducted in October 2014 and June 2015 to inform and refine the classifications. The variables collected from this survey included physical and chemical characteristics of the water, habitat type, substrata, fauna and flora. A total of 176 field points were collected and utilized to perform an accurate assessment of the image classification. Initial habitat classification resulted in 20 habitat categories. However, due to the inability of the Landsat-8 sensors to accurately discriminate that level of classification, categories were merged into seven classes. The derived map shows that the benthic marine habitats of Bahrain consist of deep water (2,523 km 2 ), rock(1,738 km 2 ), sand (1,191 km 2 ), deep water/sand (1,006 km 2 ), algae (922 km 2 ), seagrass (591 km 2 ) and corals (275.50 km 2 ). Although limited by the spatial and spectral resolutions of Landsat 8, the used methods produced a suitable map of the benthic habitats within the marine area of Bahrain with an overall accuracy of 84.1%. The use of very high spatial resolution satellite imagery will most likely increase such accuracy significantly.

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“…In view of European Union regulations, which prohibit the use of towed gears on seagrass beds unless management plans are established for that fishery (Council Regulation 1967/2006, and emphasize monitoring and scientific investigations into these activities, a better understanding of the present boat seining practices on P. oceanica beds is necessary. Croatian fisheries are currently in the process of harmonization with the EU regulations.…”

Section: Introductionmentioning

confidence: 99%

“…The most important boat seine fishery in eastern Adriatic waters targets picarel, Spicara smaris, and is practiced in areas inhabited by this species, mainly sandy-muddy bottoms covered with Posidonia oceanica meadows (Bell and Harmelin-Vivien, 1983;Cetinić et al, 1999). According to Bakran-Petricioli et al (2006), 55% of the area from 0 to 30 m of depth along the eastern Adriatic coast is covered with P. oceanica. This important habitat plays a multifunctional role within coastal systems, offering substrate for settlement, food availability and shelter, as well as recruitment and nursery areas for both juvenile and adult fish and invertebrates (Bell and Harmelin-Vivien, 1982;Orth et al, 1984;Garcia-Raso, 1990;Proccacini et al, 2003;Nakaoka, 2005).…”

Section: Introductionmentioning

confidence: 99%

Discards of the commercial boat seine fisheries on <i>Posidonia oceanica</i> beds in the eastern Adriatic Sea

Cetinić¹,

Škeljo²,

Ferri³

2010

Sci. Mar.

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SUMMARY: Scientific observer records were used to estimate the retained and discarded catch composition of the commercial boat seine fisheries over Posidonia oceanica (Linnaeus) Delile meadows in the eastern Adriatic, from November 2008 to December 2009. A total of 91 fish and cephalopod species were recorded in the catches, of which 20 species were always retained, 40 were always discarded and the remaining 31 were selected depending on size (only larger specimens were retained). The most abundant species in the retained catch were Spicara smaris, Atherina hepsetus and Mullus barbatus, while Chromis chromis, Symphodus ocellatus and small specimens of Boops boops dominated the discards. An estimated 43.5% by number and 28.5% by weight of the total catch were discarded. Since the minimum landing size (MLS) is regulated for only 4 out of the 15 most important species in this study, and even these regulations are only partially followed, discarding practices were generally market-driven. The retained and discarded amounts of the catch as well as the numbers of retained and discarded species showed a seasonal pattern. The catches recorded during summer/autumn were generally larger than those in winter/spring. High rates of immature specimens were observed for the most important species, which is probably related to the role of Posidonia beds as important nursery grounds.Keywords: boat seine, small-scale fishery, discard, immature fish, Posidonia oceanica beds, Adriatic. RESUMEN: Descartes de la pesquería comercial de cerco que opera en las praderas de Posidonia oceanica al este del mar Adriático. -Registros provenientes de observadores científicos fueron utilizados para estimar la composición de las capturas retenidas y descartadas por parte de la flota comercial cerquera que opera sobre lechos de Posidonia oceanica (Linnaeus) Delile en el Adriático oriental. Desde noviembre de 2008 hasta diciembre de 2009 un total de 91 especies de peces y cefalópodos fueron registradas en las capturas, de las cuales 20 fueron siempre retenidas, 40 fueron siempre descartadas y las restantes 31 fueron seleccionadas de acuerdo al tamaño (sólo los ejemplares mas grandes fueron retenidos). Dentro de la fracción retenida las especies más abundantes fueron: Spicara smaris, Atherina hepsetus y Mullus barbatus, mientras que Chromis chromis, Symphodus ocellatus y los pequeños ejemplares de Boops boops, dominaron los descartes. Se estima que un 43.5% en números y 28.5% en peso de las capturas totales fueron descartadas. Dado que la talla minima de desembarque (TMD) está regulada únicamente para 4 de las 15 más importantes especies presentes en este estudio, y aún estas regulaciones son sólo parcialmente cumplidas, las prácticas de descarte fueron determinadas principalmente por las posibilidades de comercialización. Tanto las cantidades como el número de especies retenidas y descartadas mostraron un patrón estacional, con mayores capturas registradas generalmente durante los meses de verano/otoño en comparación a lo obtenido en el periodo in...

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Modelling spatial distribution of the Croatian marine benthic habitats

Cited by 18 publications

References 22 publications

Error, Power, and Blind Sentinels: The Statistics of Seagrass Monitoring

Error, Power, and Blind Sentinels: The Statistics of Seagrass Monitoring

Integrating Remote Sensing and Field Survey to Map Shallow Water Benthic Habitat for the Kingdom of Bahrain

Discards of the commercial boat seine fisheries on <i>Posidonia oceanica</i> beds in the eastern Adriatic Sea

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