Download Communicating the properties of marine organisms as the second

Communicating
the properties of marine organisms
as the second dimension of marine biodiversity
Wulf Greve
German Centre for Marine Biodiversity Research (FIS)
and Federal Maritime Agency for Shipping and
Hydrography (BSH),
Hamburg
Senckenberg German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Introduction:
The research process:
from DESCRIPTION via ANALYSIS to PROGNOSIS
Properties of marine organisms, a case study:
Helgoland Roads Zooplankton
NICHE model requirements
individual, inter-individual and community properties
The second dimension of biodiversity
Property communication:
definition, standardisation, data mining,
Definition: unifying concepts vrs. specific demand
.Standardisation: computers need numbers, “bye catch retrieval”,
measurement property rights, individual recognition and control via indices
new ways of communicatrion,
Perspective:
From knowledge management networks to automated data mining
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
The research process:
from DESCRIPTION via ANALYSIS to PROGNOSIS
Biodiversity is the basis to most biological disciplines
e.g. taxonomy, systematics, evolution research, ecology
to molecular genetics.
Each discipline is interested in a specific set
of organic properties of the taxonomic units
generally understood as species richness or biodiversity.
The specific set of organic properties requested by
ecological research is used as an example of the
specific species inherent information needs of any discipline.
Ecology can prognose future biodiversity.
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
A case study:
species list Helgoland Roads Zooplankton
DESCRIPTION via ANALYSIS to PROGNOSIS
e.g. mutual predation
property needs of the NICHE model
Properties of marine organisms
e.g. ontogeny, physiology, ethology to
biodiverse community properties:
trophodynamics to stability
The second dimension of biodiversity
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
The time-series „Helgoland Roads Zooplankton“ documents the
abundance changes on a weekly basis for 400 populations
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Coscinodiscus concinnus
Fig. Calanus
Fig. PLPI
limerick
mutual exclusion
stability manifold
Pleurobrachia pileus
Calanus helgolandicus
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Numeric definition of interpopulative trophodynamics
REAGENT RESPONSES:
AGENT: PLEUROBRACHIA
AGENT: CALANUS
Senckenberg: German Center for Marine Biodiversity Research
AGENT: PLEUROBRACHIA
AGENT: CALANUS
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
In the NICHE model the following processes have been regarded as common to all zooplankton populations:
the ontogenetic development through specifiable discrete stages
the recruitment into earlier stages (juveniles) from later stages
- the dependence of growth, starvation and recruitment from the nutritional state
the species-specific limitation of each of these processes
the limitation of the nutritional state by satiation
the definability of trophic interaction through e.g. the ARE standard
The NICHE model therefore is a general individual based model (IBM) for any combination of zooplankton populations.
The distinctions of these are represented in the parameter values, the model requires.
These consist of two groups of parameter values: the trophodynamic parameter matrix and the physiological parameter matrix.
The trophodynamic parameter matrix
INTERACTION-MATRIX
The physiological parameter matrix is composed of the following requested
entries:
Agent
the size ( gC developmental stage species ,)
-1
maximal feeding rate ( gC day developmental stage species )
Reagent
reproduction (recruits day )
survival (days without nutrition)
minimal residual time (maximal growth) until reaching the following stage
The NICHE model
(Equation 1) calculation of metabolic activity
(Equation 2) calculation of growth
(Equation 3) calculation of reproduction
(Equation 4) calculation of starvation
(Equation 5) calculation of change for the reagent Ri
Senckenberg: German Center for Marine Biodiversity Research
NICHE -MODEL
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
The sensitivity analysis
of all model parameters
ranks the entries
of the ARE-matrix,
the physiological matrix and
the initial values
according to their influence
on the model performance
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Besides individual properties such
as size, age, generation-time,
growth-speed, food-utilisation,
reproduction-rate, starvation-resistance
intra- and inter-individual properties
such as food-preference, enemy-avoidance
and community properties
such as ecosystem equilibria and stability
define the functional relationships
within ecosystems which are the
information resources from which
causal ecological models are derived
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Property communication:
Definition:
unifying concepts or
specific demand
Standardisation:
Computers need defined numbers,
reliability controls
access and recompensation
Data mining:
research programs
official information inventories
“numeric bye `catch` retrieval”,
measurement property rights,
individual recognition and control via indexing and attributes
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
Perspective
relational attributing
new recompensation systems
new ways of communication
,
advanced retrieval programs
automated knowledge management networks
and:
automated operative prognoses
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004
Wulf Greve: Communicating the properties of marine organisms as the second dimension of marine biodiversity
operative prognoses
of the phenology of
zooplankton based on
automated retrieval of
daily internet reports
of SST temperature
by the German
weather service
Senckenberg: German Center for Marine Biodiversity Research
Ocean Biodiversity Informatics Hamburg 11/29 - 12/1 2004