Tools

Tool name * SPAM
Description

SPAM (Sandeel Population Analysis Model) is a spatial explicit process-oriented scenario simulation tool to study the influence of various environmental, climate and anthropogenic factors on sandeel stocks. Sandeel stocks, being mid-trophic in the ecosystem, are sensitive ecosystem indicators. Evaluate spatially resolved effects of fishing on sandeel stocks; Explore ecological consequences of management policy options on sandeel stocks; Analyze impact and placement of marine protected areas Model the effect of anthropogenic/environmental/climate factor on habitat connectivity Model effect of environmental/climate changes. Scientific basis for pressure indicators The model features: high resolution map of potential sandeel habitats spatially resolved population dynamics based on a sandeel life cycle model using the map of potential sandeel habitats spatially resolved recruitment processes, based on operational hydrodynamical data and individual-based models of sandeel eggs/larvae The model includes adult migration and demographic density effects on growth, survival and fecundity flexible input of spatially resolved impact factors on local population and recruitment processes. The model has previously been used for analyzing the ecological impact of marine protected areas as well as socio-economical effects, by coupling SPAM to the socio-economical model BENCOM. and has also been coupled to a socio-economical model. To analyze the link between regional hydrographical variability and recruitment process, SPAM has been coupled to various operational physical circulation models using the individual-based model SLAM for sandeel eggs/larvae. The model is currently set up to describe the sandeel stocks in the North Sea, but with little effort it can also be reparameterized to describe other sedentary species, e.g. flatfish and nephrops, in an arbitrary habitat network.

Category All, Fisheries Analysis, Spatial Analysis
What step(s) in analysis framework 3, 4
What step(s) in Governance framework
inputs

1) the transport kernel of sandeel larvae within the habitat network. Several time series ofthe larval transport kernel has been computed based on operational hydro-dynamical data.2) spatial resolved fishing and predation pressure on sandeel stocks.Historical time series has been resolved based on catch data and multispecies stock assessments.3) Parameterization of biological processes. Parameter sets for the different spatial resolutions has been developed.4) Parameterization of habitat carrying capacity

Data Quality Required

Modification Required

The model is currently set up to describe the sandeelstocks in the North Sea, but with little effort it can also be reparameterized to describe other sedentary species, e.g. flatfish and nephrops, in an arbitrary habitat network.

Expertise Required

The model is based on the programming language Python. Including newsub processes or impacts requires basic programming skills in Python.

Spatial and Temporal

The spatial scale of the model is given by the resolution of the map ofpotential sandeel habitats which is input to the model. All inputs must be given with spatial resolution corresponding to the habitat map.If information about spatial heterogeneity is insufficient, an average estimateis typically applied uniformly.The model typically runs with spatial resolution 10-100 kmTemporal scale: currently, the model makes yearly time steps in the population dynamics.

Outputs

model state variables: Population size and weight resolved on habitat regions and age cohorts at timeoutput:Population dynamics resolved on habitat regions and age cohortsRecruitment resolved on habitat regionsCatch resolved on habitat regionsBiomass resolved on habitat regions and age cohorts at timeDemographic self regulation index resolved on habitat regions at time.

License cost issues

No

Download

Distributed on peer-to-peer basis, contact asc@aqua.dtu.dk

Literature: References & Manuals *
  • A. Christensen, H. Mosegaard, H. and Jensen, Spatially resolved fish population analysis for designing MPAs: influence on inside and neighbouring habitats. ICES Journal of Marine Science, 66: 56--63 (2009)
  • A. Christensen, H. Jensen, H. Mosegaard, M. St. John, and C. Schrum: Sandeel (Ammodytes marinus) larval transport patterns in the North Sea from an individual-based hydrodynamic egg and larval model Can. J. Fish. Aquat. Sci. 65: 1498-1511 (2008)
  • A. Hoff, J.L. Andersen, A. Christensen, and H. Mosegaard Economic Consequences of Marine Protected Areas: the North Sea sandeel Fishery Submitted to J. of Bioeconomics.
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