Towards understanding interactions in a complex world: Design and analysis of multi-species functional response experiments DOI Creative Commons
Benjamin Rosenbaum, Jingyi Li, Myriam R. Hirt

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 19, 2023

Abstract The functional response describes feeding rates of consumers as a function resource density. While models for on single species are well studied and supported by large body empirical research, multiple ubiquitous in nature. However, laboratory experiments designed parameterizing multi-species responses (MSFR) extremely rare, mainly due to logistical challenges the non-trivial nature their statistical analysis. Here, we describe how these can be fitted data Bayesian framework. Specifically, address problem prey depletion during experiments, which accounted through dynamical modeling. In comprehensive simulation study, test effects experimental design, sample size noise level identifiability four distinct MSFR models. Additionally, demonstrate method’s versatility applying it list datasets. We identify designs trials that produce most accurate parameter estimates two- three-prey scenarios. Although introduces systematic bias estimates, model selection performs surprisingly MSFRs, almost always identifying correct even small This flexible framework allows simultaneous analysis from both single- multi-prey scenarios, either with or without depletion. will help elucidate mechanisms such selectivity, switching implications food web stability biodiversity. Our approach equips researchers appropriate tools improve understanding interactions complex ecosystems.

Language: Английский

In defense of the Type I functional response: The frequency and population-dynamic effects of feeding on multiple prey at a time DOI Creative Commons
Márk Novák, Kyle E. Coblentz, John P. DeLong

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 17, 2024

Abstract Ecologists differ in the degree to which they consider linear Type I functional response be an unrealistic versus sufficient representation of predator feeding rates. Empiricists tend it unsuitably non-mechanistic and theoreticians necessarily simple. Holling’s original rectilinear model is dismissed by satisfying neither desire, with most compromising on smoothly saturating II for searching handling are assumed mutually exclusive activities. We derive a “multiple-prey-at-a-time” generalization that includes III reflect predators can continue search when arbitrary number already-captured prey. The multi-prey clarifies empirical relevance models conditions under linearity mechanistically-reasoned description rates, even times long. find support presence 35% 2,591 compiled datasets, evidence larger predator-prey body-mass ratios permit while greater numbers Incorporating into Rosenzweig-MacArthur population-dynamics reveals non-exclusivity lead coexistence states dynamics not anticipated theory built traditional models. In particular, bistable fixed-point limit-cycle long-term crawl-by transients between them where abundance top-heavy food webs linear. conclude should considered empirically but also more bounded conclusions drawn presuming appropriate.

Language: Английский

Citations

4
Towards understanding interactions in a complex world: Design and analysis of multi‐species functional response experiments DOI Creative Commons
Benjamin Rosenbaum, Jingyi Li, Myriam R. Hirt

et al.

Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 15(9), P. 1704 - 1719

Published: June 23, 2024

Abstract The functional response describes feeding rates of consumers as a function resource density. While models for on single species are well studied and supported by large body empirical research, multiple ubiquitous in nature. However, laboratory experiments designed parameterizing multi‐species responses (MSFR) extremely rare, mainly due to logistical challenges the non‐trivial nature their statistical analysis. Here, we describe how these can be fitted data Bayesian framework. Specifically, address problem prey depletion during experiments, which accounted through dynamical modelling. In comprehensive simulation study, test effects experimental design, sample size noise level identifiability four distinct MSFR models. Additionally, demonstrate method's versatility applying it list datasets. We identify designs trials that produce most accurate parameter estimates two‐ three‐prey scenarios. Although introduces systematic bias estimates, model selection performs surprisingly MSFRs, almost always identifying correct even small This flexible framework allows simultaneous analysis from both single‐ multi‐prey scenarios, either with or without depletion. will help elucidate mechanisms such selectivity, switching implications food web stability biodiversity. Our approach equips researchers appropriate tools improve understanding interactions complex ecosystems.

Language: Английский

Citations

2
Towards understanding interactions in a complex world: Design and analysis of multi-species functional response experiments DOI Creative Commons
Benjamin Rosenbaum, Jingyi Li, Myriam R. Hirt

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 19, 2023

Abstract The functional response describes feeding rates of consumers as a function resource density. While models for on single species are well studied and supported by large body empirical research, multiple ubiquitous in nature. However, laboratory experiments designed parameterizing multi-species responses (MSFR) extremely rare, mainly due to logistical challenges the non-trivial nature their statistical analysis. Here, we describe how these can be fitted data Bayesian framework. Specifically, address problem prey depletion during experiments, which accounted through dynamical modeling. In comprehensive simulation study, test effects experimental design, sample size noise level identifiability four distinct MSFR models. Additionally, demonstrate method’s versatility applying it list datasets. We identify designs trials that produce most accurate parameter estimates two- three-prey scenarios. Although introduces systematic bias estimates, model selection performs surprisingly MSFRs, almost always identifying correct even small This flexible framework allows simultaneous analysis from both single- multi-prey scenarios, either with or without depletion. will help elucidate mechanisms such selectivity, switching implications food web stability biodiversity. Our approach equips researchers appropriate tools improve understanding interactions complex ecosystems.

Language: Английский

Citations

0