2022
DOI: 10.1016/j.ecolmodel.2022.109944
|View full text |Cite
|
Sign up to set email alerts
|

Individual-based modeling of shelled pteropods

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
19
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

4
2

Authors

Journals

citations
Cited by 8 publications
(19 citation statements)
references
References 107 publications
0
19
0
Order By: Relevance
“…The Lagrangian space‐time identification of OA extremes opens new perspectives with regard to our understanding of the impact of extreme events on certain organisms such as the pteropod L. helicina . Coupling the results of our study to individual‐based models may reveal some particularly damaging types of extremes (Hofmann Elizondo & Vogt, 2021). This knowledge together with an assessment of the temporal changes in OAXs will be highly relevant to comprehend how OA extremes may shape ecosystem structure, function, and health in the future (Gruber et al., 2021).…”
Section: Discussionmentioning
confidence: 77%
“…The Lagrangian space‐time identification of OA extremes opens new perspectives with regard to our understanding of the impact of extreme events on certain organisms such as the pteropod L. helicina . Coupling the results of our study to individual‐based models may reveal some particularly damaging types of extremes (Hofmann Elizondo & Vogt, 2021). This knowledge together with an assessment of the temporal changes in OAXs will be highly relevant to comprehend how OA extremes may shape ecosystem structure, function, and health in the future (Gruber et al., 2021).…”
Section: Discussionmentioning
confidence: 77%
“…Foraminifers are less sensitive to changes in saturation states as their shells are made of calcite (Orr et al., 2005; Weinkauf et al., 2016), but laboratory and field studies point to reduced calcification rates and metabolic depression for them as pH decreases (C. V. Davis et al., 2017; Iwasaki et al., 2019; Moy et al., 2009; Osborne et al., 2020), even though calcite saturation states are higher than aragonite saturation states. As our statistical models, by design, did not include any indicator of organism physiology or biomineralization and were based on climatological environmental conditions, we could not account for such effects in the way that for example, equation‐based numerical models with an explicit representation of organismal physiology, such as individual‐based models do (Hofmann Elizondo & Vogt, 2022). Based on field studies, changes in carbonate chemistry have not been shown to cause large‐scale abundance decreases of either pteropods or foraminifers (Howes et al., 2015; Ohman et al., 2009; Thibodeau et al., 2019).…”
Section: Discussionmentioning
confidence: 99%
“…This TC‐TIC conversion factor is based on data for L. helicina antarctica and hence probably not representative for all pteropod species and life stages (Hofmann Elizondo & Vogt, 2022). To account for the lack of species‐specific TC‐TIC conversion factors in literature, we added an uncertainty range of ±20% to the conversion factor, based on the range of TIC values reported in Bednaršek, Tarling, et al.…”
Section: Methodsmentioning
confidence: 99%
“…This introduces high variance in the observed abundances (figure S5) and a mismatch between the gridded monthly climatologies used as environmental predictors and the mesoscale-affected biomass patterns (Righetti et al, 2019;Benedetti et al, 2021). However, previous studies found no significant benefit of using highly temporally resolved data over climatologies (Pinkerton et al, 2020), as the environmental conditions an organism experiences are based on their Langrangian movement over time (Hofmann Elizondo & Vogt, 2022). Finally, the use of coarse mesh sizes for sampling relatively small zooplankton can underestimate the true abundances as small and/or mobile individuals are missed (Tseng et al, 2011;Wells, 1973;Miloslavić et al, 2014;Mack et al, 2012;Skjoldal et al, 2013;Fabry, 1989;Zamelczyk et al, 2021).…”
Section: Limitations and Uncertaintiesmentioning
confidence: 98%
“…This TC-TIC conversion factor is based on data for L. helicina antarctica and hence probably not representative for all pteropod species and life stages (Hofmann Elizondo & Vogt, 2022). To account for the lack of species-specific TC-TIC conversion factors in literature, we added an uncertainty range of ±20% to the conversion factor, based on the range of TIC values reported in .…”
Section: Biomass Calculationsmentioning
confidence: 99%