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Campos clasificación y rango

In document 11905 pdf (página 36-38)

2. Arquitectura de protocolos DNP3

2.1. Capa de Aplicación DNP3

2.1.2. Estructura del mensaje DNP3

2.1.2.8. Campos clasificación y rango

Analyses of alternative effort allocation strategies with various fishing capacity strategies shows that tiger prawn specialisation strategies have strong negative impact on mean spawning stock lev- els, while impacts on tiger and endeavour prawn species are reduced with banana prawn speciali- sation strategies.

Moreover, the biological variability determining economic risk in the fishery may arise from two different causes. On one hand, variability for grooved tiger and blue endeavour prawns in- creases with the degree of banana specialisation and the decrease in fishing capacity. This can be explained by the fact that with decreasing fishing pressure, and increases in stock biomasses, fluctuations due to stock-recruitment relationships become stronger. On the other hand, biological variability for brown tiger prawn slightly increases with fishing pressure (i.e. with the degree of tiger specialisation and level of fishing capacity). Brown tiger prawn is the species characterized by a decline in its spawning stock size over the projection. Therefore, above a certain level of fishing mortality, increases in fishing pressure tend to increase stock variability. This is because at small stock sizes, stock biomass may become strongly dependent on recruitment only. It could be a way to assess if a species is in danger of overexploitation or not. Stocks with small spawning stock sizes combined with high variability could be considered as not sustainably exploited.

Chapter 5.

Co-viability analysis in the

Northern Prawn Fishery

This chapter presents a stochastic co-viability analysis applied to the NPF and integrating a set of management objectives reflecting current issues in the fishery. This set includes biological, economic and biodiversity conservation management objectives. To assess the impacts of trawl- ing on the broader biodiversity, an ecological dimension is integrated to the model presented in chapter 4. Trade-offs between biological, economic and biodiversity conservation management ob- jective constraints in highly uncertain context are investigated, and viable management strategies are identified.

5.1

Introduction

Marine fisheries management is characterised by multiple, often conflicting objectives (Crutch- field,1973;Charles,1989), including ecological, economic and social viewpoints. There is growing evidence that fishing activities cause physical damage to habitats and affect not only the exploited stocks, but also populations of non-targeted species (Hall and Mainprize, 2005) because they use poorly selective gears, inducing catches of non-targeted fishes (i.e. by-catch and by-product) or unwanted length grades of the targeted species. By-catches from such fisheries consist mostly of small fish with no value to an industrial fishery. Most by-catch species are discarded and returned to the water with high mortality rate (Alverson et al.,1994). Discards represent a significant propor- tion of global marine catches and are generally considered to constitute waste, or suboptimal use of fishery resources (Kelleher,2005). As a result, after the sustainability of the stocks themselves, the management and mitigation of by-catch is one of the most pressing issues facing the commercial fishing industry worldwide (Hall and Mainprize,2005).

Demersal trawling, such as prawn trawling, can be particularly damaging to non-targeted species and habitats. Trawl nets used to catch prawns have small mesh and are towed along a biologically- diverse seabed. This results in large quantities of discarded by-catch, including impacts on en- dangered or vulnerable and often charismatic species, including turtles, sharks, rays, sea snakes, sawfish and seahorses. Alverson et al. (1994) estimated that around one-third of the world’s dis- cards are associated with prawn trawl fishing andKelleher(2005) estimated that on average 62.3% of total prawn trawl catch in weight is discarded.

The Northern Prawn Fishery (NPF), located off Australia’s northern coast and established in the late 1960s, is a multi-species trawl fishery which harvests several high-value prawn species, each with different dynamics. The fishery derives its revenue from an unpredictable naturally fluc- tuating resource, the white banana prawn (Penaeus merguiensis), and a more predictable resource comprising two tiger prawns species (grooved tiger prawn,Penaeus semisulcatusand brown tiger prawn,Penaeus esculentus). These three species account for 95% of the total annual landed catch value of the fishery (ABARES,2010). The fishery operates over two ‘seasons’ spanning the period April to November with a mid-season closure of variable length from June to August. Seasonal

5.1. Introduction S. Gourguet

closures are in place to protect small prawns (closure from December to March), as well as spawn- ing individuals (mid-season closure) (AFMA and CSIRO, 2012). The fishery effectively consists of two sub-fisheries that are (to a large degree) spatially and temporally separate. The ‘banana prawn sub-fishery’ is a single species fishery based on the white banana prawn, while the ‘tiger prawn sub-fishery’ is a mixed species fishery targeting grooved and brown tiger prawns, as well as blue endeavour prawns (Metapenaeus endeavouri) which are caught as by product (Woodhams et al.,2011). The banana prawn sub-fishery operates mostly during the first season. The fleet then switches during the second season to the tiger prawn sub-fishery, for which catches per unit effort are lower than for white banana prawns, but less variable. However, if banana prawns are still available in large enough numbers, some vessels will continue to target them. Two different fishing strategies can also be identified within the tiger prawn sub-fishery, one associated with catching grooved tiger prawns (hereafter called the ‘grooved tiger prawn fishing strategy’) and the other associated with catching brown tiger prawns (hereafter called the ‘brown tiger prawn fishing strat- egy’). Both tiger prawn fishing strategies result in by-catch of tiger and endeavour prawn species.

Environmental issues within the NPF include a high proportion of by-catch, interactions with protected species and potential impact of trawling on benthic communities (Woodhams et al.,2011). By-catch in the NPF consist of small fish, invertebrates, sponges, other megabenthos, rays, sawfish, sharks, sea snakes and turtles (Stobutzki et al., 2001). Many of these species are dead when dis- carded, or have a low survival rate (Hill and Wassenberg,2000). The percentage of the by-catch in the total catches has been estimated to range between 89 and 95% depending on the fishing ground (Pender et al., 1992), which is higher than the average percentage of discard among prawn trawl fisheries worldwide (c.f. Kelleher, 2005). Demonstrating ecological sustainability is a legislative requirement for an increasing number of fisheries worldwide, particularly demersal trawl fisheries such as the NPF (Griffiths et al., 2006). The Australian Fisheries Management Act 1991 and the Environment Protection and Biodiversity Conservation Act 1999 require that negative effects on endangered species are avoided, catches of non-targeted species are reduced to a minimum, and the long-term sustainability of by-catch and by-product populations is demonstrated. Management of the NPF is aimed at achieving maximum economic yield (MEY), which implies both stock con- servation and economic performance objectives. These must thus be balanced with the objective

of limiting the impacts of the fishery on the broader ecosystem. The certification for sustainable fishing practices by the Marine Stewardship Council (MSC) in November 2012 acknowledged the efforts undertaken by the NPF to limit its impacts on ecosystem. The MSC is an international non-profit organisation set up to promote solutions to the problem of overfishing. The certifica- tion and eco-labelling program for wild-capture fisheries from MSC is consistent with the FAO “Guidelines for the Eco-labelling of Fish and Fishery Products from Marine Capture Fisheries” (FAO,2009) which require that credible fishery certification and eco-labelling schemes include: (i) third-party fishery assessment utilising scientific evidence; (ii) transparent processes with built-in stakeholder consultation and objection procedures; and (iii) standards based on the sustainability of target species, ecosystems and management practices.

Few fisheries jurisdictions have adopted harvest control rules which explicitly account for mul- tiple biological, ecological, economic, social and political objectives. In this context, viability mod- elling has been presented by several authors (Bene et al., 2001;Cury et al.,2005;Eisenack et al., 2006; Doyen et al., 2012; Péreau et al., 2012) as a potentially relevant bio- economic modelling framework. Viability theory - introduced mathematically byAubin(1990) - aims at identifying de- cision rules such that a set of constraints, representing various objectives, is respected at any time. It can be useful in a multi-criteria context as this approach identifies a domain of possibilities, and trade-offs between potentially conflicting objectives or constraints (Baumgärtner and Quaas,2009). It has also been recognized that wise use of fish resources over time should incorporate the inherent risk and uncertainty of fishery systems (Garcia, 1996;Hilborn and Peterman, 1996). By combin- ing biological, economic and ecological goals from stochastic simulation models, the stochastic co-viability approach (Baumgärtner and Quaas, 2009; De Lara and Martinet, 2009; Doyen and De Lara, 2010), can be used to address important issues of vulnerability, risk, safety and precau- tion, and to determine the ability of a particular resource system to achieve specified sustainability objectives.

The main objective of this chapter is to propose a formal modelling approach allowing to as- sess trade-offs between biological, economic and biodiversity conservation management objectives within the NPF and identify viable management strategies. This is done by (i) applying a stochastic co-viability framework of analysis as proposed inDoyen et al.(2012) and Gourguet et al.(2013)

5.2. Material and Methods S. Gourguet

to the simplified bio-economic model of the NPF presented in the previous chapter; (ii) including in this CVA assessment a formal way of representing biodiversity conservation constraints; and (iii) based on this, assessing the trade-offs which the fishery may be facing with respect to alter- native strategies in setting the fleet capacity and allocation effort (between tiger and banana prawn sub-fisheries) levels.

5.2

Material and Methods

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