EurekaMag.com logo
+ Translate

Aggregation in stochastic ecosystem models


, : Aggregation in stochastic ecosystem models. Ecological Modelling 44(1-2): 153-164

A characterization of perfect aggregation and some applications to deterministic ecosystem models given recently by Iwasa, Andreasen and Levin are extended to stochastic differential equation models.

Accession: 001748377

DOI: 10.1016/0304-3800(88)90087-7

Download PDF Full Text: Aggregation in stochastic ecosystem models


Submit PDF Full Text

No spam - Every submission is manually reviewed

Due to poor quality, we do not accept files from Researchgate

Submitted PDF Full Texts will always be free for everyone
(We only charge for PDFs that we need to acquire)

Select a PDF file:
Close
Close

Related references

Duerr, H.P.ter; Dietz, K., 2000: Stochastic models for aggregation processes. Three models are presented, which describe the aggregation of objects into groups and the distributions of groups sizes and group numbers within habitats. The processes regarded are pure accumulation processes which involve only formation and inva...

Tiwari, J.L.; Hobbie, J.E.; Reed, J.P.; Stanley, D.W.; Miller, M.C., 1978: Some stochastic differential equation models of an aquatic ecosystem. A set of stochastic differential equations has been used to model an aquatic [freshwater] ecosystem. The randomness in the system was introduced through initial conditions of the state variables, parameters and input variables (light and temperatu...

Cohen, Y., 1987: Identification and control of stochastic linear multispecies ecosystem models. Lecture Notes in Biomathematics, 72: 66-79

Metcalf, S.J.; Dambacher, J.M.; Hobday, A.J.; Lyle, J.M., 2008: Importance of trophic information, simplification and aggregation error in ecosystem models. Ecosystem models are becoming increasingly important as pressure from fisheries intensifies and ecosystem-based fisheries management becomes more widely used. Trophic webs often form the basis of ecosystem models and ecosystem-specific dietary in...

Claps, P.; Rossi, F.; Vitale, C., 1993: Conceptual-stochastic modeling of seasonal runoff using autoregressive moving average models and different scales of aggregation. The statistical and phenomenological aspects of the runoff process observed on different scales of aggregation were taken as a priori information for the conceptually based stochastic modelling of seasonal runoff. Runoff was considered as the sum...

Milionis, A.E.; Davies, T.D., 1994: Regression and stochastic models for air pollution II Application of stochastic models to examine the links between ground-level smoke concentrations and temperature inversions. Atmospheric Environment. 28(17): 2811-2822

Carlson, C.G., 1998: Stochastic fluctuations in functional ACHRS at intact dystrophic junctions The acetylcholine receptor aggregation hypothesis and the ion channel aggregation model for the dystrophinopathies. Society for Neuroscience Abstracts 24(1-2): 485

Pospíšil, J.; Sobotka, Táš., 2016: Test data sets for calibration of stochastic and fractional stochastic volatility models. Data for calibration and out-of-sample error testing of option pricing models are provided alongside data obtained from optimization procedures in "On calibration of stochastic and fractional stochastic volatility models" [1]. Firstly we...

Shtatland Ernest S., 1991: Fractal stochastic models for acoustic impedance; an explanation of scaling or 1/ f geology and stochastic inversion. In this paper we study a fractal stochastic model for the logarithm of acoustic impedance as a function of depth, in the upper sedimentary part of the crust. By using this model, we propose an explanation of scaling or 1/f geology, the phenomenon...

Wang, Y.; Christley, S.; Mjolsness, E.; Xie, X., 2010: Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent. Stochastic effects can be important for the behavior of processes involving small population numbers, so the study of stochastic models has become an important topic in the burgeoning field of computational systems biology. However analysis techni...