A linear programming model of herbivore foraging: imprecise, yet successful?
The effects of the sampling error of input variables on the energy-maximizing diets of 14 grassland herbivores were assessed that Belovsky (1986) predicted using a linear programming model of optimal foragging. Monte Carlo simulations showed that the error reported in the estimates of the variables...
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| Veröffentlicht in: | Oecologia 1994-12, Vol.100 (4), p.470-474 |
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| creator | Huggard, D.J. (British Columbia Univ., Vancouver (Canada). Dept. of Zoology) |
| description | The effects of the sampling error of input variables on the energy-maximizing diets of 14 grassland herbivores were assessed that Belovsky (1986) predicted using a linear programming model of optimal foragging. Monte Carlo simulations showed that the error reported in the estimates of the variables generated wide confidence intervals on predicted diets of the species. Given this imprecision in the predictions, the predicted diets that Belovsky reported were unexpectedly similar to the observed diets. The high correlation between predicted and observed diets reported by Belovsky was only attained in 0.01% of the simulation runs. Simulations assuming a variety of relationships between the sampling error in the different variables did not alter this conclusion. Incorporating the sampling error in even a single variable causes wide variability in the predicted diets. This analysis suggests that the high levels of accuracy reported for the linear programming approach will be difficult to repeat |
| doi_str_mv | 10.1007/BF00317869 |
| format | Article |
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Incorporating the sampling error in even a single variable causes wide variability in the predicted diets. This analysis suggests that the high levels of accuracy reported for the linear programming approach will be difficult to repeat</description><identifier>ISSN: 0029-8549</identifier><identifier>EISSN: 1432-1939</identifier><identifier>DOI: 10.1007/BF00317869</identifier><identifier>PMID: 28306936</identifier><identifier>CODEN: OECOBX</identifier><language>eng</language><publisher>Berlin: Springer-Verlag</publisher><subject>ANALISIS ESTADISTICO ; ANALYSE STATISTIQUE ; Animal, plant and microbial ecology ; Biological and medical sciences ; BUSQUEDA DE ALIMENTO ; Diet ; Error rates ; Foraging ; Fundamental and applied biological sciences. Psychology ; General aspects. 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(British Columbia Univ., Vancouver (Canada). Dept. of Zoology)</creatorcontrib><title>A linear programming model of herbivore foraging: imprecise, yet successful?</title><title>Oecologia</title><addtitle>Oecologia</addtitle><description>The effects of the sampling error of input variables on the energy-maximizing diets of 14 grassland herbivores were assessed that Belovsky (1986) predicted using a linear programming model of optimal foragging. Monte Carlo simulations showed that the error reported in the estimates of the variables generated wide confidence intervals on predicted diets of the species. Given this imprecision in the predictions, the predicted diets that Belovsky reported were unexpectedly similar to the observed diets. The high correlation between predicted and observed diets reported by Belovsky was only attained in 0.01% of the simulation runs. Simulations assuming a variety of relationships between the sampling error in the different variables did not alter this conclusion. Incorporating the sampling error in even a single variable causes wide variability in the predicted diets. This analysis suggests that the high levels of accuracy reported for the linear programming approach will be difficult to repeat</description><subject>ANALISIS ESTADISTICO</subject><subject>ANALYSE STATISTIQUE</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>BUSQUEDA DE ALIMENTO</subject><subject>Diet</subject><subject>Error rates</subject><subject>Foraging</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>HERBAGE</subject><subject>HERBIVORE</subject><subject>Herbivores</subject><subject>HERBIVOROS</subject><subject>Herbivory</subject><subject>Linear programming</subject><subject>Linear programming models</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>MODELE</subject><subject>Modeling</subject><subject>MODELOS</subject><subject>Monte Carlo methods</subject><subject>Monte Carlo simulation</subject><subject>Optimal foraging</subject><subject>PRADERAS</subject><subject>Precision</subject><subject>RECHERCHE DE NOURRITURE</subject><subject>Sampling errors</subject><subject>Short Communications</subject><subject>SIMULACION</subject><subject>SIMULATION</subject><subject>Standard error</subject><issn>0029-8549</issn><issn>1432-1939</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNp90M1rVDEUBfAgih2rG5cikoVIKT69-U7clFr7hQNudP3I5N2Mr7w3GZN5hf73TZnpuOvqLs6Pw-UQ8pbBFwZgvn6_ABDMWO2ekRmTgjfMCfeczAC4a6yS7oC8KuUGgEmm1EtywK0A7YSekfkpHfoV-kzXOS2zH8d-taRj6nCgKdK_mBf9bcpIY8p-WbNvtB_XGUNf8DO9ww0tUwhYSpyGk9fkRfRDwTe7e0j-XJz_Prtq5r8ur89O500QVm2azjlnnFTa-0UnPBoAiMx7o5FLcNpZyxVGDaoLjgeJjqlORgcyiBjQikNytO2tP_-bsGzasS8Bh8GvME2lZdY8VCjNK_30NNWGcwO6wuMtDDmVkjG269yPPt-1DNqHmdv_M1f8Ydc6LUbs9vRx1wo-7oAvwQ8x-1VdbO-ElMDAVPZ-y27KJuV9LDkHK6HG77Zx9Kn1y1wbfpw79bO-ocU9C5-UPw</recordid><startdate>19941201</startdate><enddate>19941201</enddate><creator>Huggard, D.J. 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Dept. of Zoology)</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-d99979456aabd3ae7000f1aa76e2409698825ef605dc92c4e915d4f904c3fce83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>ANALISIS ESTADISTICO</topic><topic>ANALYSE STATISTIQUE</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>BUSQUEDA DE ALIMENTO</topic><topic>Diet</topic><topic>Error rates</topic><topic>Foraging</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>HERBAGE</topic><topic>HERBIVORE</topic><topic>Herbivores</topic><topic>HERBIVOROS</topic><topic>Herbivory</topic><topic>Linear programming</topic><topic>Linear programming models</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>MODELE</topic><topic>Modeling</topic><topic>MODELOS</topic><topic>Monte Carlo methods</topic><topic>Monte Carlo simulation</topic><topic>Optimal foraging</topic><topic>PRADERAS</topic><topic>Precision</topic><topic>RECHERCHE DE NOURRITURE</topic><topic>Sampling errors</topic><topic>Short Communications</topic><topic>SIMULACION</topic><topic>SIMULATION</topic><topic>Standard error</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huggard, D.J. (British Columbia Univ., Vancouver (Canada). Dept. of Zoology)</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Oecologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huggard, D.J. (British Columbia Univ., Vancouver (Canada). Dept. of Zoology)</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A linear programming model of herbivore foraging: imprecise, yet successful?</atitle><jtitle>Oecologia</jtitle><addtitle>Oecologia</addtitle><date>1994-12-01</date><risdate>1994</risdate><volume>100</volume><issue>4</issue><spage>470</spage><epage>474</epage><pages>470-474</pages><issn>0029-8549</issn><eissn>1432-1939</eissn><coden>OECOBX</coden><abstract>The effects of the sampling error of input variables on the energy-maximizing diets of 14 grassland herbivores were assessed that Belovsky (1986) predicted using a linear programming model of optimal foragging. Monte Carlo simulations showed that the error reported in the estimates of the variables generated wide confidence intervals on predicted diets of the species. Given this imprecision in the predictions, the predicted diets that Belovsky reported were unexpectedly similar to the observed diets. The high correlation between predicted and observed diets reported by Belovsky was only attained in 0.01% of the simulation runs. Simulations assuming a variety of relationships between the sampling error in the different variables did not alter this conclusion. Incorporating the sampling error in even a single variable causes wide variability in the predicted diets. This analysis suggests that the high levels of accuracy reported for the linear programming approach will be difficult to repeat</abstract><cop>Berlin</cop><pub>Springer-Verlag</pub><pmid>28306936</pmid><doi>10.1007/BF00317869</doi><tpages>5</tpages></addata></record> |
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| ispartof | Oecologia, 1994-12, Vol.100 (4), p.470-474 |
| issn | 0029-8549 1432-1939 |
| language | eng |
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| source | Jstor Complete Legacy; SpringerLink Journals - AutoHoldings |
| subjects | ANALISIS ESTADISTICO ANALYSE STATISTIQUE Animal, plant and microbial ecology Biological and medical sciences BUSQUEDA DE ALIMENTO Diet Error rates Foraging Fundamental and applied biological sciences. Psychology General aspects. Techniques HERBAGE HERBIVORE Herbivores HERBIVOROS Herbivory Linear programming Linear programming models Methods and techniques (sampling, tagging, trapping, modelling...) MODELE Modeling MODELOS Monte Carlo methods Monte Carlo simulation Optimal foraging PRADERAS Precision RECHERCHE DE NOURRITURE Sampling errors Short Communications SIMULACION SIMULATION Standard error |
| title | A linear programming model of herbivore foraging: imprecise, yet successful? |
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