Movement rules for individual-based models of stream fish

Railsback, Steven F.; Lamberson, Roland H.; Harvey, Bret C.; Duffy, W.E

doi:10.1016/s0304-3800(99)00124-6

Cited by 171 publications

(146 citation statements)

References 31 publications

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“…Watkins and Rose (2013), suggest in their study evaluating different animal movement models that gradient following behavior, as implemented in the current study, produced the best fish movement analysis in all tested environments, also confirmed by Politikos et al (2015). This approach has also been proven successful in other studies (e.g., Railsback et al, 1999;Xu et al, 2013). However, Watkins and Rose (2013) also note that the assumptions that fish are able to sense environmental conditions in the neighboring model cells are sometimes questionable.…”

Section: Importance Of Cooling Eventssupporting

confidence: 74%

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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Black Sea anchovy (Engraulis encrasicolus) undertake extensive overwintering migrations every fall from nursery grounds to warmer overwintering areas located on the south-eastern coast of the Black Sea. During migration and particularly upon arrival at the Anatolian coast, they support an important fishery and valuable source of income for the regional community. Black Sea anchovy have undergone significant stock fluctuations partly related to climatic conditions; for example, migrating anchovy schools arrived late or failed to arrive at the Anatolian coast when fall temperatures increased. It is therefore of importance to understand the conditions required for successful overwintering migration and explore different migration routes. This study invokes a Lagrangian modeling approach applied to satellite derived circulation and temperature data as a first attempt to model anchovy migration dynamics in the Black Sea. This modeling approach takes the influence of the physical environment into account, while the quality of overwintering grounds, adaptive, schooling, and homing behavior is neglected. The model is used to investigate the possible influence of interannual and seasonal variability of temperature and surface currents, as well as the influence of migration behavior on the success of anchovy overwintering migration for both the Black Sea and Azov Sea anchovy. The results of the present work show the possibility that overwintering anchovy fished along the Turkish Eastern Anatolian coast may not exclusively originate from the northwestern shelf, but mainly from the eastern Black Sea basin. Migration pathways are identified for both Black Sea and Azov Sea anchovy, which are of importance for the national fisheries efforts of riparian countries. The modeling results are in agreement with general patterns of anchovy migration given in the literature indicating that the physical environment may be a major factor in shaping general migration patterns. Simulation results are used to hypothesize about alternatives to previously determined migration routes and provide potential reasons that explain the inability of the Bulgarian anchovy fishery to recover. Results show that the intensity and timing of autumnal cooling, coupled with current Guraslan et al.Environmental Impact on Anchovy Overwintering Migration strength, can be of significant importance in determining annual and seasonal variability of migration success. Considering the need for fisheries management to account for the variability in fishable overwintering anchovy stocks a modeling approach as developed in the current study may provide such a tool.

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Section: Importance Of Cooling Eventssupporting

confidence: 74%

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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“…These approaches include using a collection of rules that evaluate the fitness (trade-off between growth and mortality) of cells within a local neighborhood (e.g. Railsback et al 1999, Haas et al 2001, using only the information in the current cell to influence the mix of random versus inertial movement (e.g. Humston et al 2004), neural networks with training by genetic algorithms (Huse & Giske 1998), and game-theoretic approaches that use detection thresholds of environmental change (Anderson 2002, Goodwin et al 2006.…”

Section: Discussionmentioning

confidence: 99%

Relative influence of habitat fragmentation and inundation on brown shrimp Farfantepenaeus aztecus production in northern Gulf of Mexico salt marshes

Roth

Rose

Rozas

et al. 2008

Mar. Ecol. Prog. Ser.

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We used a spatially explicit individual-based model to investigate the relative influences of inundation and habitat fragmentation on brown shrimp Farfantepenaeus aztecus production in northern Gulf of Mexico (NGOM) salt marshes. The model simulates the mortality, growth, and movement of a population of brown shrimp from their arrival in Spartina salt marsh as post-larvae in spring to their emigration as sub-adults in summer and fall. We quantified production in terms of subadult export, growth production (a measure of total shrimp growth), and trophic transfer (total shrimp mortality). We utilized a factorial design to simulate shrimp on all combinations of 4 maps that represented an idealized progression of habitat fragmentation and 4 inundation regimes from each of 2 locations in the NGOM (Louisiana and Texas). We also quantified the configuration of the marsh landscape to determine if specific metrics could be utilized as a proxy for shrimp production within a single inundation regime. Our results indicate that inundation is more important than habitat fragmentation for determining sub-adult export, growth production, and trophic transfer, but that marsh configuration has a strong influence on shrimp production within a single inundation regime. Inundation affected all 3 measures of shrimp production, primarily due to decreased mortality incurred when shrimp have access to vegetation through marsh flooding. We conclude that simple metrics of marsh configuration are capable of adequate predictions of shrimp production in static landscapes, but future research must consider the dynamic relationship between inundation and marsh fragmentation to fully assess how these forces affect shrimp production.KEY WORDS: Farfantepenaeus aztecus · Fragmentation · Inundation · Production · Spartina · Salt marsh · Gulf of Mexico · Estuaries · Individual-based model Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 359: [185][186][187][188][189][190][191][192][193][194][195][196][197][198][199][200][201][202] 2008 marsh. Several studies from the NGOM and elsewhere have documented a positive relationship between fishery landings and the extent of intertidal vegetation , Jackson et al. 2001, Loneragan et al. 2005. Vegetation provides increased foraging opportunities and shelter from predators , Beck et al. 2001, Kraus & Secor 2005. Thus, the productivity of many species is tied to their ability to access intertidal vegetation (Weinstein 1979, Kneib 1997, that is, in turn, controlled by both the amount of edge habitat (intersection of vegetation and water) and the local pattern of inundation (Weinstein et al. 2000, Minello et al. 2003. Patterns of nekton use related to marsh edge (e.g. Minello et al. 1994, Peterson & Turner 1994, Minello & Rozas 2002 and the role of inundation on species productivity , Rozas 1995, Minello et al. 2003 are well documented. The relative importance of marsh fragmentation (i.e. marsh edge) versus inundation for species productivity, however, h...

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“…A careful consideration of fitness-enhancing, fish-movement rules, such as that undertaken by Railsback et al (1999) for stream fish, may be necessary to resolve this issue.…”

Section: Discussionmentioning

confidence: 99%

“…Among trout, which is generally considered to be resident species, it has been found that they occasionally and unpredictably undertake large migrations (Gowan and Faush 1996). Such movement may be an attempt by the fish to escape unfavourable conditions or reconnoitre their environment for the purpose of selecting new sites (Railsback et al 1999). Travis and French (2000) argue that most spatial models that incorporate animal movement are 'generally misleading', because they treat animal dispersal simplistically.…”

Section: Comparison Of the Two Modelsmentioning

confidence: 99%

Alternate explanations of the dispersal pattern of galjoenDichistius capensis

Attwood

Cowley

2005

African Journal of Marine Science

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The movement behaviour of galjoen Dichistius capensis (>250mm total length) was studied by using a tag and recapture technique. A total of 25 191 galjoen was tagged at four sites in South Africa. Three of the sites were in fully protected reserves (two in the De Hoop Marine Protected Area, one in the Tsitsikamma National Park), whereas the fourth site was at the Cape Peninsula where fishing is permitted. In all, 2 174 fish were recaptured, some of them several times. The vast majority of fish were caught at the site of release. After correcting for differences in recovery effort between the release sites and other areas, it was estimated that 95% of tagged fish remained at the release site. The remaining 5% moved throughout the South African range of galjoen, which was separated from the Namibian range. There was no evidence to suggest that movement is linked to season, age or sex. Although not territorial, galjoen do hold home ranges, which were estimated to be no larger than 1.38km in extent, but probably much smaller. Two likely models, the polymorphic and the tourist, are advanced to explain the movement behaviour. The polymorphic model is a combination of two movement patterns, one resident and another nomadic. The balance between the two may represent a mixed evolutionary stable strategy. The tourist model does not differentiate between fish. Each fish spends its time at a small number of widely separated sites, moving between them as conditions dictate. The tag and recovery data do not favour one model above the other unequivocally.

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Movement rules for individual-based models of stream fish

Cited by 171 publications

References 31 publications

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

Relative influence of habitat fragmentation and inundation on brown shrimp Farfantepenaeus aztecus production in northern Gulf of Mexico salt marshes

Alternate explanations of the dispersal pattern of galjoenDichistius capensis

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