Managing the rearing of Tapes philippinarum in the lagoon of Venice: a decision support system

Pastres, Roberto; Solidoro, Cosimo; Cossarini, Gianpiero; Canu, Donata Melaku; Dejak, C.

doi:10.1016/s0304-3800(00)00404-x

Cited by 64 publications

(30 citation statements)

References 13 publications

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“…Local authorities were not able to govern the subsequent exploitation, which took place very fast, without regulation and sometimes illegally (Melaku Canu et al 2002). This created social, environmental, sanitary and socio-economic problems of increasing complexity (Pastres et al 2001, Melaku Canu et al 2002, Solidoro et al 2010a. Market data corrected for unofficial landings (Fig.…”

Section: Aquaculture Of Ruditapes Philippinarum In the Lagoon Of Venicementioning

confidence: 99%

“…The effects of different management options were also compared to select the 'best' strategies for present or projected future climate conditions. In this way, we investigated whether the effects of GC will necessitate modification of management policies, an uninvestigated issue in previous modelling studies of clam aquaculture (Pastres et al 2001, Marinov et al 2007, Spillman et al 2009). According to FAO (2008), the vulnerability of Ecological-Social-Economic (ESE) systems to GC is determined by non-linear interactions of 3 factors: exposure, sensitivity to change and the ability to respond to, or even take advantage of, change.…”

Section: Introductionmentioning

confidence: 99%

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Effect of global change on bivalve rearing activity and the need for adaptive management

Canu¹,

Solidoro²,

Cossarini³

et al. 2010

Clim. Res.

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A downscaling experiment linking a regional atmospheric model to local ecosystem and target species population dynamics models was conducted to evaluate the effects of IPCC climate change scenarios on a temperate coastal lagoon ecosystem, the lagoon of Venice (Italy), along with goods and services provided by this ecosystem. Our results indicate that the changes in water temperature and reduction in plankton productivity caused by the modification of seasonal precipitation patterns will affect habitat suitability for clam growth and aquaculture. Simulations show that aquaculture, which has substantial economic value, will suffer, and they highlight the need for management policies to mitigate the adverse effects of climate change. Extrapolation of these conclusions to other coastal systems might be particularly relevant for socio-economic systems in which clam farming is crucial for a self-sustaining economy.

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Section: Aquaculture Of Ruditapes Philippinarum In the Lagoon Of Venicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of global change on bivalve rearing activity and the need for adaptive management

Canu¹,

Solidoro²,

Cossarini³

et al. 2010

Clim. Res.

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“…However, diffusion processes are no longer isotropic and homogeneous. They are parameterized at each grid points [Dejak et al, 1998;Pastres et al, 2001]. The turbulent diffusivity coefficients K h in equation (A1) are replaced by a diagonal tensor, which relates the fluxes of matter F to the gradients of the concentration along the main direction of dispersion (x 0 ) and its orthogonal one (y 0 ), as written next in equation (A2a)…”

Section: A2 Transport Modelmentioning

confidence: 99%

Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation

Cossarini¹,

Lermusiaux²,

Solidoro³

2009

J. Geophys. Res.

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[1] An ensemble data assimilation scheme, Error Subspace Statistical Estimation (ESSE), is utilized to investigate the seasonal ecosystem dynamics of the Lagoon of Venice and provide guidance on the monitoring and management of the Lagoon, combining a rich data set with a physical-biogeochemical numerical estuary-coastal model. Novel stochastic ecosystem modeling components are developed to represent prior uncertainties in the Lagoon dynamics model, measurement model, and boundary forcing by rivers, open-sea inlets, and industrial discharges. The formulation and parameters of these additive and multiplicative stochastic error models are optimized based on data-model forecast misfits. The sensitivity to initial and boundary conditions is quantified and analyzed. Half-decay characteristic times are estimated for key ecosystem variables, and their spatial and temporal variability are studied. General results of our uncertainty analyses are that boundary forcing and internal mixing have a significant control on the Lagoon dynamics and that data assimilation is needed to reduce prior uncertainties. The error models are used in the ESSE scheme for ensemble uncertainty predictions and data assimilation, and an optimal ensemble dimension is estimated. Overall, higher prior uncertainties are predicted in the central and northern regions of the Lagoon. On the basis of the dominant singular vectors of the ESSE ensemble, the two major northern rivers are the biggest sources of dissolved inorganic nitrogen (DIN) uncertainty in the Lagoon. Other boundary sources such as the southern rivers and industrial discharges can dominate uncertainty modes on certain months. For dissolved inorganic phosphorus (DIP) and phytoplankton, dominant modes are also linked to external boundaries, but internal dynamics effects are more significant than those for DIN. Our posterior estimates of the seasonal biogeochemical fields and of their uncertainties in 2001 cover the whole Lagoon. They provide the means to describe the ecosystem and guide local environmental policies. Specifically, our findings and results based on these fields include the temporal and spatial variability of nutrient and plankton gradients in the Lagoon; dynamical connections among ecosystem fields and their variability; strengths, gradients and mechanisms of the plankton blooms in late spring, summer, and fall; reductions of uncertainties by data assimilation and thus a quantification of data impacts and data needs; and, finally, an assessment of the water quality in the Lagoon in light of the local environmental legislation.

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“…Decision Support Systems (DSSs), i.e., information systems that help decision making, represent a suitable framework for the implementation of multicriteria approaches. They have been already successfully applied to the management of coastal basins (see, e.g., Pastres et al 2001). This paper proposes the structure of a DSS for the management of coastal lagoon areas characterized by shellfish farming and agriculture.…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System for the Management of Coastal Lagoons

Casini

Mocenni

Paoletti

et al. 2005

IFAC Proceedings Volumes

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The correct management of coastal lagoon areas with anthropic exploitation is a difficult task for local authorities. Socio-economic interests and environment preservation are typically contrasting objectives between which a suitable trade-off must be achieved. The solution of this problem requires the development of interdisciplinary and multicriteria approaches. Motivated by future application to the Lagoon of Sacca di Goro (Italy), this paper proposes the architecture of a Decision Support System (DSS) for the management of coastal lagoon areas characterized by shellfish farming and agriculture. The DSS integrates a dynamic model for scenario simulations, the computation of several indicators for sustainability analysis and an optimization model for optimal resource allocation. Special emphasis is devoted to the definition of the optimization problem, which takes into account both the socio-economic and the environmental aspects. A numerical example shows the features of the proposed DSS.

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Managing the rearing of Tapes philippinarum in the lagoon of Venice: a decision support system

Cited by 64 publications

References 13 publications

Effect of global change on bivalve rearing activity and the need for adaptive management

Effect of global change on bivalve rearing activity and the need for adaptive management

Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation

A Decision Support System for the Management of Coastal Lagoons

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