An individual-based model of lake fish communities: application to piscivore stocking in Lake Mendota

McDermot, Dennis; Rose, Kenneth A.

doi:10.1016/s0304-3800(99)00172-6

Cited by 39 publications

(22 citation statements)

References 34 publications

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“…4; McDermot 1998). McDermot and Rose (2000) present a detailed description of the model and analysis of the two of six food webs. All six of the food webs included yellow perch; two versions of the 6‐species and 2‐species food webs (denoted high and low biomass) were configured such that they differed in their average yellow perch biomass and degree of predator‐prey coupling.…”

Section: Understanding Compensationmentioning

confidence: 99%

Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis

et al. 2001

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Density‐dependent processes such as growth, survival, reproduction and movement are compensatory if their rates change in response to variation in population density (or numbers) such that they result in a slowed population growth rate at high densities and promote a numerical increase of the population at low densities. Compensatory density dependence is important to fisheries management because it operates to offset the losses of individuals. While the concept of compensation is straightforward, it remains one of the most controversial issues in population dynamics. The difficulties arise when going from general concepts to specific populations. Compensation is usually quantified using some combination of spawner–recruit analysis, long‐term field monitoring or manipulative studies, and computer modelling. Problems arise because there are limitations to each of these approaches, and these limitations generally originate from the high uncertainty associated with field measurements. We offer a hierarchical approach to predicting and understanding compensation that ranges from the very general, using basic life‐history theory, to the highly site‐specific, using detailed population models. We analyse a spawner–recruit database to test the predictions about compensation and compensatory reserve that derive from a three‐endpoint life‐history framework designed for fish. We then summarise field examples of density dependence in specific processes. Selected long‐term field monitoring studies, manipulative studies and computer modelling examples are then highlighted that illustrate how density‐dependent processes led to compensatory responses at the population level. Some theoretical and empirical advances that offer hope for progress in the future on the compensation issue are discussed. We advocate an approach to compensation that involves process‐level understanding of the underlying mechanisms, life‐history theory, careful analysis of field data, and matrix and individual‐based modelling. There will always be debate if the quantification of compensation does not include some degree of understanding of the underlying mechanisms.

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Section: Understanding Compensationmentioning

confidence: 99%

Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis

et al. 2001

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“…Although some exceptions exist (e.g. , Shuter 1990;Marschall and Crowder 1996;Minns et al 1996;Rose et al 1999;McDermot and Rose 2000), few of these models cover all of the principal vital rates (i.e., birth rate, survival rate, individual growth rate), or follow through the entire life cycle of the model species. Frequently, such models have focused on a particular life stage or one vital rate (e.g., Brandt and Kirsch 1993;Mason et al 1995).…”

Section: Current Approachesmentioning

confidence: 99%

Linking fish population dynamics to habitat conditions: insights from the application of a process-oriented approach to several Great Lakes species

Hayes

Jones

Lester

et al. 2009

Rev Fish Biol Fisheries

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One of the major challenges facing fishery scientists and managers today is determining how fish populations are influenced by habitat conditions. Many approaches have been explored to address this challenge, all of which involve modeling at one level or another. In this paper, we explore a process-oriented model approach whereby the critical population processes of birth and death rates are explicitly linked to habitat conditions. Application of this approach to five species of Great Lakes fishes including: walleye (Sander vitreus), lake trout (Salvelinus namaycush), smallmouth bass (Micropterus dolomieu), yellow perch (Perca flavescens), and rainbow trout (Onchorynchus mykiss), yielded a number of insights into the modeling process. One of the foremost insights is that processes determining movement and transport of fish are critical components of such models since these processes largely determine the habitats fish occupy. Because of the importance of fish location, an individual-based model appears to be a nearly inescapable modeling requirement. There is, however, a paucity of field-based data directly relating birth, death, and movement rates to habitat conditions experienced by individual fish. There is also a paucity of habitat information at a fine temporal and spatial scale for many important habitat variables. Finally, the general occurrence of strong ontogenetic changes in the response of different life stages to habitat conditions emphasizes the need for a modeling approach that considers all life stages in an integrated fashion.

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“…Mathematical formulation of the weight growth model: The bioenergetics-based anchovy weight growth model follows Luo & Brandt (1993), Rose et al (1999), McDermot & Rose (2000), and Megrey et al (2007). No weight growth occurs in egg and yolk-sac larval phases of each daily cohort.…”

Section: Methodsmentioning

confidence: 99%

A coupled plankton–anchovy population dynamics model assessing nonlinear controls of anchovy and gelatinous biomass in the Black Sea

Oğuz¹,

Salihoğlu²,

Fach³

2008

Mar. Ecol. Prog. Ser.

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A coupled model of lower trophic levels and anchovy Engraulis encrasicolus ponticus population dynamics was developed to analyze the mechanisms controlling sharp anchovy and gelatinous zooplankton biomass transitions from the 1960s to the 1980s in the Black Sea. An increase in anchovy stocks from estimated low (~300 kt) to moderate (~700 kt) in the late 1960s was related to weakening piscivore predation pressure, slight nutrient enrichment of the basin during an early eutrophication phase, and competitive exclusion of gelatinous carnivores. The transition to high stocks (~1500 kt) from 1979 to 1980 was caused by additional nutrient enrichment. With enhanced enrichment, gelatinous carnivores started to coexist with anchovy at low biomass levels (<1.0 gC m -2 ), but they did not yet exert a strong control on anchovy because of their competitive disadvantage of consuming prey at low carrying capacity. The third transition (1989)(1990) returned the anchovy stock to the low regime and increased the biomass of the alien gelatinous species Mnemiopsis leidyi (hereafter Mnemiopsis) to 3.0 gC m -2 . The anchovy-Mnemiopsis shift was pre-conditioned by nutrient accumulation in the subsurface layer and triggered by their more effective transport into the productive surface layer following the switch of regional climate into a severe winter phase during 1985-1987. The resulting enhanced resource carrying capacity, together with decreasing adult anchovy stocks, led to a competitive advantage of Mnemiopsis in food exploitation relative to anchovy, growth and reproductive advantages relative to the native gelatinous species Aurelia aurita, and stronger predation on anchovy eggs and larvae. The anchovy stock depletion was caused by increasing fishing pressure and by competition with and predation by Mnemiopsis. While nonlinear coupling of these 2 independent processes amplified the anchovy collapse, neither would be able to individually impose such a severe anchovy stock change under the observed environmental conditions of the Black Sea.

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An individual-based model of lake fish communities: application to piscivore stocking in Lake Mendota

Cited by 39 publications

References 34 publications

Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis

Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis

Linking fish population dynamics to habitat conditions: insights from the application of a process-oriented approach to several Great Lakes species

A coupled plankton–anchovy population dynamics model assessing nonlinear controls of anchovy and gelatinous biomass in the Black Sea

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