Simulation-based evaluation of reserve network performance for Centrophorus zeehaani (Centrophoridae): a protected deep-sea gulper shark

2019 ◽  
Vol 76 (7) ◽  
pp. 2318-2328
Author(s):  
Ross K Daley ◽  
Alistair J Hobday ◽  
Jayson M Semmens

Abstract Resource use and conservation objectives can conflict where protected species and commercially fished species occur together. We tested the potential for a previously overfished deep-sea shark (Centrophorus zeehaani) with very low biological productivity to recover in a network of three reserves. An individual-based simulation model was developed and applied using reproduction and movement data. Without any reserves or reductions in fishing mortality the population will never recover and will fail in 27.9 ± 6.1 years. With three reserves, recovery from 8% of initial numbers to a target of 20% would take 63.1 ± 3.1 years with the network in place. Length of the female cycle, natural mortality, and density dependent female dispersal are uncertain, but could delay recovery time by an additional 16.5, 98.3, or 61.9 years, respectively. Effectiveness of the reserve network was particularly sensitive to location and patchiness of the population. Doubling the size of a reserve where C. zeehaani are abundant would reduce recovery time by 12.5 years; halving it would increase recovery time by 12.0 years. Future re-opening of orange roughy fishing in waters deeper than 750 m would delay recovery of C. zeehaani by 45.9 years. The methods developed here can be used to explore co-management options for target species and protected species in fisheries.

Author(s):  
Ning Zhang ◽  
Alice Alipour ◽  
Laura Coronel

Resilience is an important characteristic of the transportation system. It reflects the network’s ability to mitigate shocks, provide alternatives, and rapidly recover to a target performance level. Earthquakes can cause the transportation network to experience severe disruptions that significantly reduce network resilience. To prevent long-term closures after earthquakes, the development of innovative approaches for their rapid restoration is necessary. This paper uses the recent developments in accelerated bridge construction (ABC) techniques as a means to enhance the rapid recovery of the system. ABC techniques often come with increased initial construction costs. In most cases, the additional cost is offset by the improvement of the network performance. To examine the efficiency of ABC techniques on the rapid recovery and on the network performance after earthquakes, the direct and indirect costs during the entire recovery period were analyzed and the relationship between network recovery time and network performance was estimated under different construction techniques. Additionally, the effect of using the incentive method to reduce the repair time was studied. The results show that the use of ABC techniques and the incentive method have great potential to minimize the transportation network’s indirect losses, improve network performance, increase the network’s resilience by decreasing recovery time, and justify the additional initial costs associated with these techniques.


2017 ◽  
Vol 135 ◽  
pp. 43-55 ◽  
Author(s):  
Alessandro Lucchetti ◽  
Pierluigi Carbonara ◽  
Francesco Colloca ◽  
Luca Lanteri ◽  
Maria Teresa Spedicato ◽  
...  

2017 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
Ali Suman ◽  
Fayakun Satria

Sumber daya udang laut-dalam merupakan sumber daya masa depan yangpenting bagi pembangunan perikanan di Indonesia. Komposisi jenis sumberdaya udang laut dalam ini didapatkan lebih dari 38 jenis dengan jenis yangmendominansi udang Penaeid (Plesiopenaeus edwardsianus). Polapertumbuhannya adalah allometris dengan penyebaran terpusat padakedalaman 200-500 m. Potensi penangkapan udang laut-dalam di perairankawasan barat Indonesia sekitar 640 ton/tahun dengan upaya optimum 285 unit bubu dan di kawasan timur Indonesia sekitar 2.840 ton/tahun dengan upaya optimum 1.250 unit bubu. Rekomendasi pola pemanfaatan udang laut dalam yang berkelanjutan adalah dengan menerapkan opsi pengelolaan berupa penutupan daerah dan musim penangkapan, pembatasan upaya, dan penerapan kuota.Deep-sea shrimp resources is the future important resources for fisheries development in Indonesia. The catch composition of deep-sea shrimp found more than 38 species and the dominant species is Plesiopenaeus edwardsianus. The growth pattern is allometric with distribution in depth of 200-500 m. Potential yield of deep-sea shrimp in Indonesian western area is 640 ton/year with optimum effort about 285 unit of trap and in Indonesian eastern area is 2,840 ton/year with optimum effort about 1,250 unit of trap. The sustainable exploitation pattern of deep-sea shrimp is recommended to application of management options close area and fishing season, effort limitation, and quota application.


2009 ◽  
Vol 36 (2) ◽  
pp. 97-103 ◽  
Author(s):  
COLIN A. SIMPFENDORFER ◽  
PETER M. KYNE

SUMMARYAs global fishing effort increasingly expands into deeper water, concerns exist over the ability of deep-sea fishes to sustain fisheries. There is however little quantitative evidence to support these concerns for the deep-sea cartilaginous fishes (Chondrichthyes: sharks, rays and chimaeras). This paper compiled available life history data for this group to analyse their ability to rebound from population declines relative to continental shelf and pelagic species. Deep-sea cartilaginous fishes have rates of population increase that are on average less than half those of shelf and pelagic species, and include the lowest levels observed to date. Population doubling times indicate that once a stock has been depleted, it will take decades, and potentially centuries, before it will recover. Furthermore, population recovery rates decrease with increasing depth, suggesting species that occur deepest are those most vulnerable to fishing. These results provide the first assessment of the productivity of deep-sea chondrichthyans, highlighting that precautionary management of developing deep-sea fisheries is essential if stocks and biodiversity are to be maintained.


2015 ◽  
Vol 25 (8) ◽  
pp. 983-992 ◽  
Author(s):  
Michael J. Emslie ◽  
Murray Logan ◽  
David H. Williamson ◽  
Anthony M. Ayling ◽  
M. Aaron MacNeil ◽  
...  

2010 ◽  
Vol 7 (2) ◽  
pp. 2361-2485 ◽  
Author(s):  
E. Ramirez-Llodra ◽  
A. Brandt ◽  
R. Danovaro ◽  
E. Escobar ◽  
C. R. German ◽  
...  

Abstract. The deep sea, the largest biome on Earth, has a series of characteristics that make this environment both distinct from other marine and land ecosystems and unique for the entire planet. This review describes these patterns and processes, from geological settings to biological processes, biodiversity and biogeographical patterns. It concludes with a brief discussion of current threats from anthropogenic activities to deep-sea habitats and their fauna. Investigations of deep-sea habitats and their fauna began in the late 19th Century. In the intervening years, technological developments and stimulating discoveries have promoted deep-sea research and changed our way of understanding life on the planet. Nevertheless, the deep sea is still mostly unknown and current discovery rates of both habitats and species remain high. The geological, physical and geochemical settings of the deep-sea floor and the water column form a series of different habitats with unique characteristics that support specific faunal communities. Since 1840, 27 new habitats/ecosystems have been discovered from the shelf break to the deep trenches and discoveries of new habitats are still happening in the early 21st Century. However, for most of these habitats, the global area covered is unknown or has been only very roughly estimated; an even smaller – indeed, minimal – proportion has actually been sampled and investigated. We currently perceive most of the deep-sea ecosystems as heterotrophic, depending ultimately on the flux on organic matter produced in the overlying surface ocean through photosynthesis. The resulting strong food limitation, thus, shapes deep-sea biota and communities, with exceptions only in reducing ecosystems such as inter alia hydrothermal vents or cold seeps, where chemoautolithotrophic bacteria play the role of primary producers fuelled by chemical energy sources rather than sunlight. Other ecosystems, such as seamounts, canyons or cold-water corals have an increased productivity through specific physical processes, such as topographic modification of currents and enhanced transport of particles and detrital matter. Because of its unique abiotic attributes, the deep sea hosts a specialized fauna. Although there are no phyla unique to deep waters, at lower taxonomic levels the composition of the fauna is distinct from that found in the upper ocean. Amongst other characteristic patterns, deep-sea species may exhibit either gigantism or dwarfism, related to the decrease in food availability with depth. Food limitation on the seafloor and water column is also reflected in the trophic structure of deep-sea communities, which are adapted to low energy availability. In most of the heterotrophic deep-sea settings, the dominant megafauna is composed of detritivores, while filter feeders are abundant in habitats with hard substrata (e.g. mid-ocean ridges, seamounts, canyon walls and coral reefs) and chemoautotrophy through symbiotic relationships is dominant in reducing habitats. Deep-sea biodiversity is among of the highest on the planet, mainly composed of macro and meiofauna, with high evenness. This is true for most of the continental margins and abyssal plains with hot spots of diversity such as seamounts or cold-water corals. However, in some ecosystems with particularly "extreme" physicochemical processes (e.g. hydrothermal vents), biodiversity is low but abundance and biomass are high and the communities are dominated by a few species. Two large-scale diversity patterns have been discussed for deep-sea benthic communities. First, a unimodal relationship between diversity and depth is observed, with a peak at intermediate depths (2000–3000 m), although this is not universal and particular abiotic processes can modify the trend. Secondly, a poleward trend of decreasing diversity has been discussed, but this remains controversial and studies with larger and more robust datasets are needed. Because of the paucity in our knowledge of habitat coverage and species composition, biogeographic studies are mostly based on regional data or on specific taxonomic groups. Recently, global biogeographic provinces for the pelagic and benthic deep ocean have been described, using environmental and, where data were available, taxonomic information. This classification described 30 pelagic provinces and 38 benthic provinces divided into 4 depth ranges, as well as 10 hydrothermal vent provinces. One of the major issues faced by deep-sea biodiversity and biogeographical studies is related to the high number of species new to science that are collected regularly, together with the slow description rates for these new species. Taxonomic coordination at the global scale is particularly difficult but is essential if we are to analyse large diversity and biogeographic trends. Because of their remoteness, anthropogenic impacts on deep-sea ecosystems have not been addressed very thoroughly until recently. The depletion of biological and mineral resources on land and in shallow waters, coupled with technological developments, is promoting the increased interest in services provided by deep-water resources. Although often largely unknown, evidence for the effects of human activities in deep-water ecosystems – such as deep-sea mining, hydrocarbon exploration and exploitation, fishing, dumping and littering – is already accumulating. Because of our limited knowledge of deep-sea biodiversity and ecosystem functioning and because of the specific life-history adaptations of many deep-sea species (e.g. slow growth and delayed maturity), it is essential that the scientific community works closely with industry, conservation organisations and policy makers to develop conservation and management options.


Sarsia ◽  
2003 ◽  
Vol 88 (4) ◽  
pp. 297-301 ◽  
Author(s):  
Guerra A. ◽  
Rocha F. ◽  
A. F. González
Keyword(s):  

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