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Quantification of soil
fauna:
- Emergence traps (Diptera,
Hymenoptera), pitfall traps (epigeal fauna), Kempson extractor (macrofauna),
Macfadyen High Gradient extractor (microarthropods), wet funnel extractor
according to Graefe (Enchytraeidae), Oostenbrink elutriator (Nematoda),
density gradient centrifugation (Protozoa), electric earthworm extractor
(octett-method according to Thielemann), Berlese-Tullgren
extractor (microarthropods)
Identification of soil
fauna:
Element cycling:
- Field methods: Litterbags,
minicontainers (according to Eisenbeis), bait lamina tests (according
to von Törne)-Stäbe
- Laboratory methods: enzyme
acivities, several types of microcosms
Molecular biology:
- Gel electrophoresis of
DNA and proteines, UV/VIS spectrometry, PCR Gradient cycler, isoelectric
focussing, image analysis
Model and test systems:
Interactions and functions
of soil organisms: laboratory microcosms (decomposer communities of
varying complexity levels), greenhouse microcosms (decomposer communities
including living plants), field enclosures (manipulated densities of
soil animals under outdoor conditions)
Ecotoxicological tests:
Eisenia foetida, Enchytraeus albidus, Folsomia candida, luminescent
bacteria, avoidance behaviour, plant growth inhibition test
Selected publications on ecological
methods
Filser, J., 1996:
Ecological field studies in soil: balancing between space, time, and manpower
resour-ces. - Senckenbergiana maritima 27, 109-118
Mommertz, S., Schauer,
C., Kösters, N., Lang, A., Filser, J., 1996: A comparison of D-Vac suction,
fenced and unfenced pitfall trap sampling of epigeal arthropods in agroecosystems.
- Ann. Zool. Fennici 33, 117-124
Mebes, K.-H., Filser,
J., 1997: A method for estimating the significance of surface dispersal
for popu-lation fluctuations of Collembola in arable land. - Pedobiologia
41, 115-122
Modelling:
The effects of complex processes
interacting on different scales often can not be apprehended intuitivly.
This refers to the long term behaviour of many ecological systems e.g
in ecotoxicology, extrapolation in space and the interactions of many
species in food webs. In order to access these themes we need innovative
and unconventionell modelling tools in connection with other scientific
disziplines such as artificial life. A particular emphasis of the department
consists in the representation of complex ecological interactions in individual
based models and cellular automata. Individual based models base on the
depiction of ecological dynamics as a result of the interactions of basic
units on low integration levels. This method allows the representation
of spatial, temporal and structural heterogeneities of ecological processes.
We use this kind of modells to assess the population dynamics of vertebrates
and invertebrates, the dispersal processes of ground living arthropods
and for the representation of plant growth including physiological and
morphological processes.
Specific topics:
Fish Schools: Reuter,
H; Breckling, B; 1994: Selforganization of fish schools: An object-oriented
model. Ecological Modelling 75/76: 147 - 159
Predator-Prey-Interaction:
Breckling, B. 1985: The changeability of the dynamical behaviour of the
Lotka-Voltera-Model basing on the implementation of non linear expansions
- Theoretical consequences. Verhandlungen der Gesellschaft für Ökologie
13:295 - 304
Reproduction success of
European Robins: Reuter, H.; Breckling, B. 1999: Emerging properties
on the individual level - Modelling the reproductive phase of the European
Robin (Erithacus rubecula). Ecological Modelling 121: 199 - 219
Foodweb interaction of small
mammals: Reuter, H. 2000: Individuum und Umwelt.- Wechselwirkungen
und Rückkopplungsprozesse in individuenbasierten tierökologischen
Modellen. University of Bremen.
Dispersal of ground arthropods:
Breckling, B.; Reuter, H. 1999: Modellierung komplexer bodenökologischer
Wechselbeziehungen: Ausbreitungsprozesse uns Strukturbildung. In: Koehler,
H.; Mathes, K.; Breckling, B. (ed): Bodenökologie interdisziplinär
S.: 27 - 42
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