Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size
Abstract The relative importance of density dependence regulation in natural population fluctuations has long been debated. The concept of density dependence implies that current abundance is determined by historical abundance. We have developed four models—two density dependent and two density inde...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-55533-4 |
| _version_ | 1797274734345322496 |
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| author | Demissew T. Gebreyohannes Jeff E. Houlahan |
| author_facet | Demissew T. Gebreyohannes Jeff E. Houlahan |
| author_sort | Demissew T. Gebreyohannes |
| collection | DOAJ |
| description | Abstract The relative importance of density dependence regulation in natural population fluctuations has long been debated. The concept of density dependence implies that current abundance is determined by historical abundance. We have developed four models—two density dependent and two density independent—to predict population size one year beyond the training set and used predictive performance on more than 16,000 populations from 14 datasets to compare the understanding captured by those models. For 4 of 14 datasets the density dependent models make better predictions (i.e., density dependent regulated) than either of the density independent models. However, neither of the density dependent models is statistically significantly superior to density independent models for any of the 14 datasets. We conclude that the evidence for widespread density dependent population regulation in the forms represented by these two simple density-dependent models is weak. However, the density dependent models used here—the Logistic and Gompertz models—are simple representations of how population density might regulate natural populations and only examine density-dependent effects on population size. A comprehensive assessment of the relative importance of density-dependent population regulation will require testing the predictive ability of a wider range of density-dependent models including models examining effects on population characteristics other than population size. |
| first_indexed | 2024-03-07T15:02:30Z |
| format | Article |
| id | doaj.art-97a96d042d914648b14d6ea5f293abe7 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:02:30Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-97a96d042d914648b14d6ea5f293abe72024-03-05T19:03:16ZengNature PortfolioScientific Reports2045-23222024-02-0114111110.1038/s41598-024-55533-4Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population sizeDemissew T. Gebreyohannes0Jeff E. Houlahan1Department of Biological Sciences, University of New BrunswickDepartment of Biological Sciences, University of New BrunswickAbstract The relative importance of density dependence regulation in natural population fluctuations has long been debated. The concept of density dependence implies that current abundance is determined by historical abundance. We have developed four models—two density dependent and two density independent—to predict population size one year beyond the training set and used predictive performance on more than 16,000 populations from 14 datasets to compare the understanding captured by those models. For 4 of 14 datasets the density dependent models make better predictions (i.e., density dependent regulated) than either of the density independent models. However, neither of the density dependent models is statistically significantly superior to density independent models for any of the 14 datasets. We conclude that the evidence for widespread density dependent population regulation in the forms represented by these two simple density-dependent models is weak. However, the density dependent models used here—the Logistic and Gompertz models—are simple representations of how population density might regulate natural populations and only examine density-dependent effects on population size. A comprehensive assessment of the relative importance of density-dependent population regulation will require testing the predictive ability of a wider range of density-dependent models including models examining effects on population characteristics other than population size.https://doi.org/10.1038/s41598-024-55533-4 |
| spellingShingle | Demissew T. Gebreyohannes Jeff E. Houlahan Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size Scientific Reports |
| title | Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size |
| title_full | Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size |
| title_fullStr | Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size |
| title_full_unstemmed | Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size |
| title_short | Weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size |
| title_sort | weak evidence of density dependent population regulation when using the ability of two simple density dependent models to predict population size |
| url | https://doi.org/10.1038/s41598-024-55533-4 |
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