CITRATE 1.0: Phytoplankton  continuous  trait-distribution  model with one-dimensional physical  transport applied to the  Northwest Pacific

Chen, Bingzhang; Smith, S. Lan

doi:10.5194/gmd-2017-104

Cited by 2 publications

(2 citation statements)

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“…Macroscopic system properties such as total biomass, mean trait values, and trait variance were studied with a continuous trait-based phytoplankton model (Chen and Smith, 2018). This model was developed as a sub-module of a larger model the goal of which was to simulate ocean dynamics.…”

Section: 2trait-based Models Focusing On Planktonmentioning

confidence: 99%

Trait-based modelling in ecology: lessons from two decades of research

Zakharova

Meyer

Seifan

2019

Preprint

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Trait-based approaches are an alternative to species-based approaches for functionally linking individual organisms with community structure and dynamics. In the trait‑based approach, the focus is on the traits, the physiological, morphological, or life-history characteristics, of organisms rather than their species. Although used in ecological research for several decades, this approach only emerged in ecological modelling about twenty years ago. We review this rise of trait-based models and trace the occasional transfer of trait-based modelling concepts between terrestrial plant ecology, animal and microbial ecology, and aquatic ecology. Trait-based models have a variety of purposes, such as predicting changes in species distribution patterns under climate and land-use change, planning and assessing conservation management, or studying invasion processes. In modelling, trait-based approaches can reduce technical challenges such as computational limitations, scaling problems, and data scarcity. However, we note inconsistencies in the current usage of terms in trait-based approaches and these inconsistencies must be resolved if trait-based concepts are to be easily exchanged between disciplines. Specifically, future trait-based models may further benefit from incorporating intraspecific trait variability and addressing more complex species interactions. We also recommend expanding the combination of trait-based approaches with individual-based modelling to simplify the parameterization of models, to capture plant-plant interactions at the individual level, and to explain community dynamics under global change.

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Section: 2trait-based Models Focusing On Planktonmentioning

confidence: 99%

Trait-based modelling in ecology: lessons from two decades of research

Zakharova

Meyer

Seifan

2019

Preprint

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“…[ 15 , 16 ]). An exception is [ 19 ] comparing results from a vertically resolved aggregated trait based model with oceanic observations. Whether aggregated trait based models considering competition of phytoplankton in vertically resolved aquatic systems can be employed to assess the consequences of vertical transport on plankton community dynamics and co-existence has not yet been explored in detail.…”

Section: Introductionmentioning

confidence: 99%

Trait selection and co-existence of phytoplankton in partially mixed systems: Trait based modelling and potential of an aggregated approach

Peeters

Straile

2018

PLoS ONE

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Trait selection and co-existence in phytoplankton communities in partially mixed water columns is investigated using trait based modelling. In the models employed, trait selection results from phytoplankton competition for two limiting resources, light and nutrients. The study employs spatially resolved models, in which the phytoplankton community is represented as a large number of trait-groups characterized by fixed trait combinations (trade-offs). Results from the trait-group resolving model (RM) are compared to results from an aggregated trait based model with adaptive traits (AM). Differences in specific production resulting from a trade-off between the half saturation constants of light and nutrients are sufficient to support evolutionary stable co-existence confirming that co-existence does not require differences in resource consumption. If abiotic conditions lead to the selection of a single trait group in RM, AM provides excellent approximations of the development of total biomass, average community trait and trait variance in the phytoplankton community. However, if selection leads to bimodal trait distributions, e.g. to co-existence of two trait groups (or species), functionally important properties of the phytoplankton community cannot be adequately represented by the aggregated information provided by AM. Because the increase in variance due to the development of bimodal trait distributions cannot be distinguished from an increase in variance due to an increase in trait diversity, the development of trait variance in AM models is not a reliable measure of trait diversity. Furthermore, AM may not provide reliable simulations of trophic interactions if the performance of the consumers depends on the traits of their resources. However, AM may support exploration of the consequences of environmental conditions and of the parameterization of species for co-existence within communities.

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CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the Northwest Pacific

Cited by 2 publications

References 84 publications

Trait-based modelling in ecology: lessons from two decades of research

Trait-based modelling in ecology: lessons from two decades of research

Trait selection and co-existence of phytoplankton in partially mixed systems: Trait based modelling and potential of an aggregated approach

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