A generalised volumetric method to estimate the biomass of photographically surveyed benthic megafauna

Benoist, Noëlie M.A.; Bett, Brian J.; Morris, Kirsty J.; Ruhl, Henry A.

doi:10.1016/j.pocean.2019.102188

Cited by 14 publications

(10 citation statements)

References 80 publications

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“…Existing marine biomass assessments can be based on allometric (unequal growth rate) or isometric (equal growth rate) relationships (Dornelas et al 2017;Benoist et al 2019;Madin et al 2020). Compared to tropical corals, cold-water corals have low metabolic rates and allometric data are currently not available.…”

Section: Introductionmentioning

confidence: 99%

Mapping cold-water coral biomass: an approach to derive ecosystem functions

et al. 2020

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This study presents a novel approach resulting in the first cold-water coral reef biomass maps, used to assess associated ecosystem functions, such as carbon (C) stock and turnover. We focussed on two dominant ecosystem engineers at the Mingulay Reef Complex, the coral Lophelia pertusa (rubble, live and dead framework) and the sponge Spongosorites coralliophaga. Firstly, from combining biological (high-definition video, collected specimens), environmental (extracted from multibeam bathymetry) and ecosystem function (oxygen consumption rate values) data, we calculated biomass, C stock and turnover which can feed into assessments of C budgets. Secondly, using those values, we employed random forest modelling to predictively map whole-reef live coral and sponge biomass. The whole-reef mean biomass of S. coralliophaga was estimated to be 304 T (range 168–440 T biomass), containing 10 T C (range 5–18 T C) stock. The mean skeletal mass of the coral colonies (live and dead framework) was estimated to be 3874 T (range 507–9352 T skeletal mass), containing a mean of 209 T of biomass (range 26–515 T biomass) and a mean of 465 T C (range 60–1122 T C) stock. These estimates were used to calculate the C turnover rates, using respiration data available in the literature. These calculations revealed that the epi- and microbial fauna associated with coral rubble were the largest contributor towards C turnover in the area with a mean of 163 T C year−1 (range 149–176 T C year−1). The live and dead framework of L. pertusa were estimated to overturn a mean of 32 T C year−1 (range 4–93 T C year−1) and 44 T C year−1 (range 6–139 T C year−1), respectively. Our calculations showed that the Mingulay Reef overturned three to seven (with a mean of four) times more C than a soft-sediment area at a similar depth. As proof of concept, the supply of C needed from surface water primary productivity to the reef was inferred. Since 65–124 T C year−1 is supplied by natural deposition and our study suggested that a mean of 241 T C year−1 (range 160–400 T C year−1), was turned over by the reef, a mean of 117–176 T C year−1 (range 36–335 T C year−1) of the reef would therefore be supplied by tidal downwelling and/or deep-water advection. Our results indicate that monitoring and/or managing surface primary productivity would be a key consideration for any efforts towards the conservation of cold-water coral reef ecosystems.

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Section: Introductionmentioning

confidence: 99%

Mapping cold-water coral biomass: an approach to derive ecosystem functions

et al. 2020

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“…These advances generate a sudden expansion on the deep-sea benthic ecology studies, and related physical processes based on image analysis and highresolution acoustic mapping (e.g. Benoist et al, 2019;Corbera et al, 2019). In parallel, the technological expansion in marine sciences enhanced the awareness that human-related activities exert a strong and pervasive impact on deep-sea ecosystems, with a detrimental effect on habitat complexity and biodiversity (de Moura-Neves et al, 2015;Clark et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Evidences of human impact on megabenthic assemblages of bathyal sediments in the Alboran Sea (western Mediterranean)

Grinyó

Iacono

Pierdomenico³

et al. 2020

Deep Sea Research Part I: Oceanographic Research Papers

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…Berat diestimasi dengan metode length-weight relationship, menggunakan konstanta spesifik takson berdasarkan (Durden et al, 2016). Pada jenis megabentos yang tidak tersedia nilai konstanta (a dan b), penghitungan estimasi berat dilakukan dengan generalised volumetric method yang mengacu pada (Benoist et al, 2019). Perhitungan biomassa megabentos (dalam gr/m 2 ) menggunakan metode yang sama dengan penghitungan biomasa ikan terumbu karang.…”

Section: Gambar 1 Peta Lokasi Penelitian DI Kawasan Konservasi Nasion...unclassified

Valuasi Ekosistem Terumbu Karang di Kawasan Konservasi Pulau Gili Matra menggunakan Analisis Emergy

Hotmariyah

Munasik

Rahmadi³

2023

J. Kel. Trop.

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The main problem in assessing coral reef ecosystems is selecting the right method to describe their ecological potential. The percentage of live coral cover has so far been used to indicate the condition of coral reefs. This assessment method is easy to apply but has not been able to describe the value of the ecosystem for the benefit of loss or damage to coral reef ecosystems. Further analysis based on energy use for the delivery of ecosystem services is needed, which is called Emergy analysis. This study aims to determine the value of coral reef ecosystems in the Pulau Gili Matra Marine Protected Area, Lombok, West Nusa Tenggara using Emergy analysis. Valuation of ecosystem services in the total emergy calculations is carried out by collecting data on live coral cover, biomass of zooxanthellae, reef fish and megabenthos in different management zones, i.e. core zone, utilization zone and fisheries zone. Meanwhile, energy supplies from outside the system, namely the sun and tides are also included in this total emergy calculation. The results show that the highest total emergy value is found in the core zone, 1.44E+15 sej/year while the lowest is in the fisheries zone, 2.94E+14 sej/year. Equalizing the value of the coral reef ecosystem with money, using the calculation of the Emergy to Money Ratio (EMR), the EMR value is 5.75E+07 sej per Rupiah (Rp). As a result, the value of the coral reef ecosystem is Rp 7.115.291/m2/year in the core zone and Rp 4.261.099/m2/year in the fishery zone. The value of a coral reef ecosystem can be determined from the condition of the coral reef which includes variables on live coral cover, biomass of zooxanthellae, reef fish and megabenthos. Permasalahan utama dalam penilaian ekosistem terumbu karang adalah memilih metode yang tepat untuk menggambarkan potensi ekologinya. Persentase tutupan karang hidup sejauh ini digunakan untuk menunjukkan kondisi terumbu karang. Metode penilaian ini mudah untuk diterapkan tetapi belum mampu menggambarkan nilai ekosistem untuk kepentingan kerugian atau kerusakan ekosistem terumbu karang. Diperlukan analisis lanjutan berbasis penggunaan energi untuk menyediakan layanan ekosistem yang disebut analisis Emergy. Penelitian ini bertujuan untuk mengetahui nilai (value) ekosistem terumbu karang di Kawasan Konservasi Pulau Gili Matra, Lombok, Nusa Tenggara Barat menggunakan analisis Emergy. Penilaian layanan ekosistem berupa penghitungan total emergy dilakukan melalui pengumpulan data tutupan karang hidup, biomassa zooxanthella, ikan terumbu karang dan megabentos di zona pengelolaan yang berbeda, yaitu zona inti, pemanfaatan dan perikanan. Sedangkan pasokan energi dari luar sistem, yaitu matahari dan pasang surut juga disertakan dalam perhitungan total emergy ini. Hasil menunjukkan bahwa nilai total emergy di zona inti memiliki nilai tertinggi, sebesar 1.44E+15 sej/th sedangkan yang terendah di zona perikanan yaitu 2.94E+14 sej/th. Penyetaraan nilai ekosistem terumbu karang dengan nilai uang, menggunakan perhitungan rasio emergy terhadap mata uang (Emergy to Money Ratio/EMR), nilai EMR adalah 5.75E+07 sej per Rupiah (Rp). Nilai ekosistem terumbu karang sebesar Rp. 7.115.291/m2/th di zona inti dan sebesar Rp. 4.261.099/m2/th di zona perikanan. Nilai ekosistem terumbu karang hasil analisis Emergy dapat ditentukan dari kondisi terumbu karang yang meliputi variabel tutupan karang hidup, biomassa zooxanthellae, ikan terumbu karang dan megabentos.

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A generalised volumetric method to estimate the biomass of photographically surveyed benthic megafauna

Cited by 14 publications

References 80 publications

Mapping cold-water coral biomass: an approach to derive ecosystem functions

Mapping cold-water coral biomass: an approach to derive ecosystem functions

Evidences of human impact on megabenthic assemblages of bathyal sediments in the Alboran Sea (western Mediterranean)

Valuasi Ekosistem Terumbu Karang di Kawasan Konservasi Pulau Gili Matra menggunakan Analisis Emergy

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