Using an individual-based model to select among alternative foraging strategies of woodpigeons: Data support a memory-based model with a flocking mechanism-Reference-Cited by-同舟云学术

Using an individual-based model to select among alternative foraging strategies of woodpigeons: Data support a memory-based model with a flocking mechanism

Published:2014-05 Issue: Volume:280 Page:89-101
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Kułakowska K.A.,Kułakowski T.M.,Inglis I.R.,Smith G.C.,Haynes P.J.,Prosser P.,Thorbek P.,Sibly R.M.

Funder

European Union

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference76 articles.

1. National Nutrient Database for Standard Reference;Agricultural Research Service,2013

2. Decision-making in group foragers with incomplete information: test of individual-based model in geese;Amano;Ecological Monographs,2006

3. Individual decisions and the distribution of predators in a patchy environment;Bernstein;The Journal of Animal Ecology,1988

4. Beyer, H., 2011. http://www.spatialecology.com/gme.

5. Hedgerow Management: A Study of Farmers’ and Contractors’ Attitudes. Final Report of MAFF Contract BD2103, 72;Britt,2000

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Year-round behavioural time budgets of common woodpigeons inferred from acceleration data using machine learning;Behavioral Ecology and Sociobiology;2023-03-31

2. Should I stay or should I fly? Migration phenology, individual-based migration decision and seasonal changes in foraging behaviour of Common Woodpigeons;The Science of Nature;2022-08-17

3. A critical review of effect modeling for ecological risk assessment of plant protection products;Environmental Science and Pollution Research;2022-04-07

4. From theory to practice in pattern‐oriented modelling: identifying and using empirical patterns in predictive models;Biological Reviews;2021-05-12

5. Movement, models, and metabolism: Individual-based energy budget models as next-generation extensions for predicting animal movement outcomes across scales;Ecological Modelling;2021-02