|
|
|
|
LEADER |
01000caa a22002652 4500 |
001 |
JST028366417 |
003 |
DE-627 |
005 |
20240620161006.0 |
007 |
cr uuu---uuuuu |
008 |
150324s1980 xx |||||o 00| ||eng c |
024 |
7 |
|
|a 10.2307/1937162
|2 doi
|
035 |
|
|
|a (DE-627)JST028366417
|
035 |
|
|
|a (JST)1937162
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Caraco, Thomas
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a On Foraging Time Allocation in a Stochastic Environment
|
264 |
|
1 |
|c 1980
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
520 |
|
|
|a A model of foraging in a stochastic environment is presented. Drawing on statistical decision theory, this paper suggests that maximization of expected utility may be a useful optimization criterion for ecological problems. The common notion of feeding preferences is extended to preferences over the probability distributions of net energetic benefits associated with available resources. By incorporating a forager's response to environmental variation, the model can lead to predictions that contrast with those of most deterministic feeding models.
|
540 |
|
|
|a Copyright 1980 The Ecological Society of America
|
650 |
|
4 |
|a feeding preferences
|
650 |
|
4 |
|a microhabitat use
|
650 |
|
4 |
|a optimal foraging
|
650 |
|
4 |
|a stochastic environment
|
650 |
|
4 |
|a utility theory
|
650 |
|
4 |
|a Economics
|x Economic disciplines
|x Financial economics
|x Finance
|x Financial analysis
|x Risk management
|x Risk aversion
|
650 |
|
4 |
|a Behavioral sciences
|x Ethology
|x Animal behavior
|x Animal feeding behavior
|x Foraging
|
650 |
|
4 |
|a Environmental studies
|x Environmental sciences
|x Natural resources
|
650 |
|
4 |
|a Biological sciences
|x Ecology
|x Population ecology
|x Synecology
|x Habitats
|x Microhabitats
|
650 |
|
4 |
|a Biological sciences
|x Biology
|x Zoology
|x Animals
|
650 |
|
4 |
|a Economics
|x Microeconomics
|x Economic utility
|x Utility functions
|
650 |
|
4 |
|a Economics
|x Microeconomics
|x Economic utility
|x Expected utility
|
650 |
|
4 |
|a Biological sciences
|x Ecology
|x Ecological modeling
|
650 |
|
4 |
|a Applied sciences
|x Engineering
|x Energy engineering
|x Renewable energy
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|
655 |
|
4 |
|a research-article
|
773 |
0 |
8 |
|i Enthalten in
|t Ecology
|d Duke University Press
|g 61(1980), 1, Seite 119-128
|w (DE-627)311927165
|w (DE-600)2010140-5
|x 19399170
|7 nnns
|
773 |
1 |
8 |
|g volume:61
|g year:1980
|g number:1
|g pages:119-128
|
856 |
4 |
0 |
|u https://www.jstor.org/stable/1937162
|3 Volltext
|
856 |
4 |
0 |
|u https://doi.org/10.2307/1937162
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_JST
|
912 |
|
|
|a GBV_ILN_11
|
912 |
|
|
|a GBV_ILN_20
|
912 |
|
|
|a GBV_ILN_22
|
912 |
|
|
|a GBV_ILN_24
|
912 |
|
|
|a GBV_ILN_31
|
912 |
|
|
|a GBV_ILN_39
|
912 |
|
|
|a GBV_ILN_40
|
912 |
|
|
|a GBV_ILN_60
|
912 |
|
|
|a GBV_ILN_62
|
912 |
|
|
|a GBV_ILN_63
|
912 |
|
|
|a GBV_ILN_65
|
912 |
|
|
|a GBV_ILN_69
|
912 |
|
|
|a GBV_ILN_70
|
912 |
|
|
|a GBV_ILN_90
|
912 |
|
|
|a GBV_ILN_100
|
912 |
|
|
|a GBV_ILN_101
|
912 |
|
|
|a GBV_ILN_110
|
912 |
|
|
|a GBV_ILN_120
|
912 |
|
|
|a GBV_ILN_285
|
912 |
|
|
|a GBV_ILN_374
|
912 |
|
|
|a GBV_ILN_702
|
912 |
|
|
|a GBV_ILN_2001
|
912 |
|
|
|a GBV_ILN_2003
|
912 |
|
|
|a GBV_ILN_2005
|
912 |
|
|
|a GBV_ILN_2006
|
912 |
|
|
|a GBV_ILN_2007
|
912 |
|
|
|a GBV_ILN_2008
|
912 |
|
|
|a GBV_ILN_2009
|
912 |
|
|
|a GBV_ILN_2010
|
912 |
|
|
|a GBV_ILN_2011
|
912 |
|
|
|a GBV_ILN_2014
|
912 |
|
|
|a GBV_ILN_2015
|
912 |
|
|
|a GBV_ILN_2018
|
912 |
|
|
|a GBV_ILN_2020
|
912 |
|
|
|a GBV_ILN_2021
|
912 |
|
|
|a GBV_ILN_2026
|
912 |
|
|
|a GBV_ILN_2027
|
912 |
|
|
|a GBV_ILN_2044
|
912 |
|
|
|a GBV_ILN_2050
|
912 |
|
|
|a GBV_ILN_2056
|
912 |
|
|
|a GBV_ILN_2057
|
912 |
|
|
|a GBV_ILN_2061
|
912 |
|
|
|a GBV_ILN_2107
|
912 |
|
|
|a GBV_ILN_2111
|
912 |
|
|
|a GBV_ILN_2190
|
912 |
|
|
|a GBV_ILN_2932
|
912 |
|
|
|a GBV_ILN_2939
|
912 |
|
|
|a GBV_ILN_2942
|
912 |
|
|
|a GBV_ILN_2946
|
912 |
|
|
|a GBV_ILN_2949
|
912 |
|
|
|a GBV_ILN_2950
|
912 |
|
|
|a GBV_ILN_2951
|
912 |
|
|
|a GBV_ILN_4012
|
912 |
|
|
|a GBV_ILN_4035
|
912 |
|
|
|a GBV_ILN_4037
|
912 |
|
|
|a GBV_ILN_4046
|
912 |
|
|
|a GBV_ILN_4112
|
912 |
|
|
|a GBV_ILN_4126
|
912 |
|
|
|a GBV_ILN_4242
|
912 |
|
|
|a GBV_ILN_4251
|
912 |
|
|
|a GBV_ILN_4305
|
912 |
|
|
|a GBV_ILN_4306
|
912 |
|
|
|a GBV_ILN_4307
|
912 |
|
|
|a GBV_ILN_4313
|
912 |
|
|
|a GBV_ILN_4322
|
912 |
|
|
|a GBV_ILN_4323
|
912 |
|
|
|a GBV_ILN_4324
|
912 |
|
|
|a GBV_ILN_4325
|
912 |
|
|
|a GBV_ILN_4335
|
912 |
|
|
|a GBV_ILN_4346
|
912 |
|
|
|a GBV_ILN_4393
|
912 |
|
|
|a GBV_ILN_4700
|
951 |
|
|
|a AR
|
952 |
|
|
|d 61
|j 1980
|e 1
|h 119-128
|