Classification of mathematical models in ecology

Gertsev, V.I.; Gertseva, Vladlena V.

doi:10.1016/j.ecolmodel.2004.03.009

Cited by 44 publications

(17 citation statements)

References 28 publications

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“…Additionally, in contrast to much of this previous work, we collected data for all vital rates simultaneously, thereby ensuring all estimates are subject to identical abiotic pressures. Although no model can completely satisfy the complexity of natural environments (Gertsev & Gertseva, 2004), we need to understand the demographic characteristics of coral populations if we are to comprehend their viability, and responses to future climate shifts (Edmunds et al., 2014). We have therefore endeavoured to ensure logistical obstacles have not hindered the efficacy, or pertinence of our study, while advocating for the expanded use of IPMs in coral research.…”

Section: Discussionmentioning

confidence: 99%

The projected degradation of subtropical coral assemblages by recurrent thermal stress

Cant

Salguero‐Gómez

Kim

et al. 2020

Journal of Animal Ecology

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1. Subtropical coral assemblages are threatened by similar extreme thermal stress events to their tropical counterparts. Yet, the mid-and long-term thermal stress responses of corals in subtropical environments remain largely unquantified, limiting our capacity to predict their future viability. 2. The annual survival, growth and recruitment of 311 individual corals within the Solitary Islands Marine Park (Australia) was recorded over a 3-year period (2016-2018), including the 2015/2016 thermal stress event. These data were used to parameterise integral projection models quantifying the effect of thermal stress within a subtropical coral assemblage. Stochastic simulations were also applied to evaluate the implications of recurrent thermal stress scenarios predicted by four different Representative Concentration Pathways. 3. We report differential shifts in population growth rates (λ) among coral populations during both stress and non-stress periods, confirming contrasting bleaching responses among taxa. However, even during non-stress periods, the observed dynamics for all taxa were unable to maintain current community composition, highlighting the need for external recruitment sources to support the community structure. 4. Across all coral taxa, projected stochastic growth rates (λ s) were found to be lowest under higher emissions scenarios. Correspondingly, predicted increases in recurrent thermal stress regimes may accelerate the loss of coral coverage, species diversity and structural complexity within subtropical regions. 5. We suggest that these trends are primarily due to the susceptibility of subtropical specialists and endemic species, such as Pocillopora aliciae, to thermal stress. Similarly, the viability of many tropical coral populations at higher latitudes is This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionmentioning

confidence: 99%

The projected degradation of subtropical coral assemblages by recurrent thermal stress

Cant

Salguero‐Gómez

Kim

et al. 2020

Journal of Animal Ecology

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“…In these cases, as long as the system is adequately described, the model provides some predictive capability and allows evaluation of the system function under theoretical scenarios (Gertsev and Gertseva, 2004). Typically, carbon dioxide evolution curves are used to monitor decomposition activity and are a measure of either the net cumulative respiration or respiration rate of the soil microbial biomass under aerobic conditions, and take a variety shapes.…”

Section: Introductionmentioning

confidence: 99%

Comparison of a novel model to three conventional models describing carbon mineralization from soil amended with organic residues

Gillis

Price

2011

Geoderma

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“…Process models can range from simple, empirical equations for reconstructing observed patterns to detailed formulations representing underlying mechanisms and interactions. Thus, they can take on many different forms including, for example, stationary and lumped parameter models to deterministic or stochastic differential equation models (e.g., Jørgensen 1986, Gertsev andGertseva 2004). Such models are often applied for heuristic purposes, and the process of going from a conceptual model to a set of mathematical equations or computer code forces one to quantify existing knowledge, thus improving one's understanding of the ecological system (Grimm 1994, Rastetter et al 2003.…”

Section: Experimental Vs Modeling Approachesmentioning

confidence: 99%

Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models

Luo¹,

Weng²,

Wu³

et al. 2009

Ecological Applications

130

100

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Classification of mathematical models in ecology

Cited by 44 publications

References 28 publications

The projected degradation of subtropical coral assemblages by recurrent thermal stress

The projected degradation of subtropical coral assemblages by recurrent thermal stress

Comparison of a novel model to three conventional models describing carbon mineralization from soil amended with organic residues

Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models

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