215
H.-J. Ceccaldi et al. (eds.), Marine Productivity: Perturbations and Resilience of Socio-ecosystems,
DOI 10.1007/978-3-319-13878-7_23, © Springer International Publishing Switzerland 2015
1
Introduction
The DPSIR framework (Fig. 1 ) is the backbone
of many indicator approaches (FAO 1999 ). It is
based on categorizing indicators into (D) driving
forces creating pressures (P) that act on ecosystem states (S) to create impacts (I) which in turn
lead to management responses (R). The choice of
suitable indicators requires careful consideration
of the context in which they are to be used, as
well as how they can be interpreted together to
inform management decisions.
Here, we present examples of recent methodological developments and case studies we have
carried out in the area of indicator selection and
validation for fi sheries and wider marine ecosystem–based management.
2
Developing Food Web
Indicators
There is an increasing interest in analysing the
state of fi sh communities as sets of functional
groups (FG). FGs are groups of species that play
a similar role in the food web and whose dynamics can be considered consistent. FGs have proved
useful for investigating the infl uence of fi shing
Abstract
Indicators are essential tools for policy making, public communication
and the provision of scientifi c advice. In fi sheries science, indicators have
been increasingly used to advising on fi sh and shellfi sh stock management, especially since the precautionary approach to fi sheries management was developed. They are now becoming a cornerstone of the wider
ecosystem approach to the management of all human activities. In this
section, we provide some recent examples of methods we developed for
creating and selecting pressure indicators and ecological indicators
derived from different types of information (scientifi c survey data,
commercial fi sheries data) for a range of ecosystems, covering pelagic,
demersal and deep-water systems.
V. Trenkel (*) • A. Brind’Amour • P. Lorance
S. Mahévas • M.-J. Rochet
Ifremer , rue de l’Ile d’Yeu , BP 21105 ,
F-44311 Nantes Cedex 03 , France
e-mail: verena.trenkel@ifremer.fr
S. Lehuta
Ifremer, unité Ecologie et Modèles pour l’halieutique ,
rue de l’ile d’Yeu , F-44311 Nantes 03 , France
Indicators for Ecosystem-Based
Management: Methods
and Applications
Verena Trenkel , Anik Brind’Amour , Sigrid Lehuta ,
Pascal Lorance , Stéphanie Mahévas ,
and Marie-Joëlle Rochet
H.-J. Ceccaldi et al. (eds.), Marine Productivity: Perturbations and Resilience of Socio-ecosystems,
DOI 10.1007/978-3-319-13878-7_23, © Springer International Publishing Switzerland 2015
1
Introduction
The DPSIR framework (Fig. 1 ) is the backbone
of many indicator approaches (FAO 1999 ). It is
based on categorizing indicators into (D) driving
forces creating pressures (P) that act on ecosystem states (S) to create impacts (I) which in turn
lead to management responses (R). The choice of
suitable indicators requires careful consideration
of the context in which they are to be used, as
well as how they can be interpreted together to
inform management decisions.
Here, we present examples of recent methodological developments and case studies we have
carried out in the area of indicator selection and
validation for fi sheries and wider marine ecosystem–based management.
2
Developing Food Web
Indicators
There is an increasing interest in analysing the
state of fi sh communities as sets of functional
groups (FG). FGs are groups of species that play
a similar role in the food web and whose dynamics can be considered consistent. FGs have proved
useful for investigating the infl uence of fi shing
Abstract
Indicators are essential tools for policy making, public communication
and the provision of scientifi c advice. In fi sheries science, indicators have
been increasingly used to advising on fi sh and shellfi sh stock management, especially since the precautionary approach to fi sheries management was developed. They are now becoming a cornerstone of the wider
ecosystem approach to the management of all human activities. In this
section, we provide some recent examples of methods we developed for
creating and selecting pressure indicators and ecological indicators
derived from different types of information (scientifi c survey data,
commercial fi sheries data) for a range of ecosystems, covering pelagic,
demersal and deep-water systems.
V. Trenkel (*) • A. Brind’Amour • P. Lorance
S. Mahévas • M.-J. Rochet
Ifremer , rue de l’Ile d’Yeu , BP 21105 ,
F-44311 Nantes Cedex 03 , France
e-mail: verena.trenkel@ifremer.fr
S. Lehuta
Ifremer, unité Ecologie et Modèles pour l’halieutique ,
rue de l’ile d’Yeu , F-44311 Nantes 03 , France
Indicators for Ecosystem-Based
Management: Methods
and Applications
Verena Trenkel , Anik Brind’Amour , Sigrid Lehuta ,
Pascal Lorance , Stéphanie Mahévas ,
and Marie-Joëlle Rochet