Predators' Functional Response: Statistical Inference, Experimental Design, and Biological Interpretation of the Handling Time DOI Creative Commons
Nikos E. Papanikolaou, Theodore Kypraios, Hayden Moffat

et al.

Frontiers in Ecology and Evolution, Journal Year: 2021, Volume and Issue: 9

Published: Oct. 29, 2021

OPINION article Front. Ecol. Evol., 29 October 2021Sec. Population, Community, and Ecosystem Dynamics https://doi.org/10.3389/fevo.2021.740848

Language: Английский

Does mutual interference stabilize prey–predator model with Bazykin–Crowley–Martin trophic function? DOI
Yu. V. Tyutyunov, Deeptajyoti Sen, Malay Banerjee

et al.

Mathematical Biosciences, Journal Year: 2024, Volume and Issue: 372, P. 109201 - 109201

Published: April 16, 2024

Language: Английский

Citations

1

Geometric Complexity and the Information-Theoretic Comparison of Functional-Response Models DOI Creative Commons
Márk Novák, Daniel B. Stouffer

Frontiers in Ecology and Evolution, Journal Year: 2021, Volume and Issue: 9

Published: Nov. 11, 2021

The assessment of relative model performance using information criteria like AIC and BIC has become routine among functional-response studies, reflecting trends in the broader ecological literature. Such allow comparison across diverse models because they penalize each model's fit by its parametric complexity—in terms their number free parameters—which allows simpler to outperform similarly fitting higher complexity. However, do not consider an additional form complexity, referred as geometric which relates specifically mathematical model. Models equivalent complexity can differ thereby ability flexibly data. Here we use Fisher Information Approximation compare, explain, contextualize how varies a large compilation single-prey models—including prey-, ratio-, predator-dependent formulations—reflecting varying apparent degrees forms non-linearity. Because with data's underlying experimental design, also sought determine designs are best at leveling playing field models. Our analyses illustrate (1) differences that exist models, (2) there is no design minimize these all (3) even qualitative nature some more or less flexible than others reversed changes design. Failure appreciate flexibility empirical evaluation may therefore lead biased inferences for predator–prey ecology, particularly low sample sizes where impact strongest. We conclude discussing statistical epistemological challenges poses study functional responses it attainment biological truth predictive ability.

Language: Английский

Citations

10

Increasing availability of palatable prey induces predator-dependence and increases predation on unpalatable prey DOI Creative Commons
Thomas J. Hossie, Kevin Chan, Dennis L. Murray

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: March 24, 2021

Abstract Understanding the factors governing predation remains a top priority in ecology. Using dragonfly nymph-tadpole system, we experimentally varied predator density, prey and species ratio to investigate: (i) whether interference varies between types that differ palatability, (ii) adding alternate influences magnitude of interference, (iii) patterns selection vary according predictions optimal diet theory. In single-prey foraging trials, palatable leopard frog tadpoles was limited by availability whereas unpalatable toad handling time. Adding did not affect predator’s kill rate prey, but presence increased influence density on reduced Prey change with shifts relative abundance types. Instead, predators selected easy-to-capture at low total densities harder-to-capture high densities. These results improve our understanding generalist communities mobile illustrate characteristics involved govern extent which rate.

Language: Английский

Citations

9

The Issue Isn’t Which Model of Consumer Interference Is Right, but Which One Is Least Wrong DOI Creative Commons

Lev R. Ginzburg,

John Damuth

Frontiers in Ecology and Evolution, Journal Year: 2022, Volume and Issue: 10

Published: March 18, 2022

Empirical observations and an analogy with the history of ballistics illuminate ongoing debate about default choice for types functional responses, based on consumer interference. The two ideal views interference are: (1) There is no direct mutual among consumers (“prey-dependence”), (2) Consumers show strong interference, response depending number prey per (“ratio-dependence”). Each these minimal-information concepts are what we refer to as “root” models, limited accuracy in themselves, but they base upon which erect complex models specific, real-world cases. We argue that ratio dependent view coincides more naturally way model dynamics any population, taken alone it consistent empirical observations. Both root often will give “wrong answer” when applied directly real world Nevertheless, one may be “less wrong” than other. This not unlike developments 400 years ago physics, competed ballistics. Galileo’s demonstration trajectory a projectile parabola eventually replaced had been dominant since Aristotle. ballistic inaccurate presence air friction, parabolic is, overall, less wrong. ratio-dependent model, like trajectory, therefore natural from start thinking consumer-resource interaction developing elaborate models.

Language: Английский

Citations

5

Predators' Functional Response: Statistical Inference, Experimental Design, and Biological Interpretation of the Handling Time DOI Creative Commons
Nikos E. Papanikolaou, Theodore Kypraios, Hayden Moffat

et al.

Frontiers in Ecology and Evolution, Journal Year: 2021, Volume and Issue: 9

Published: Oct. 29, 2021

OPINION article Front. Ecol. Evol., 29 October 2021Sec. Population, Community, and Ecosystem Dynamics https://doi.org/10.3389/fevo.2021.740848

Language: Английский

Citations

7