The rise of the individual-based model in ecology

Judson, Olivia

doi:10.1016/0169-5347(94)90225-9

Cited by 359 publications

(183 citation statements)

References 16 publications

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“…larval behaviour and broad-scale circulation). Spatially explicit individualbased models (IBMs) (Judson, 1994) have been developed to incorporate the trajectories of individual animals that experience and respond to complex horizontal and vertical patterns in time and space (reviewed by Werner et al, 2001).…”

Section: Eggs and Larvaementioning

confidence: 99%

Movements of Marine Fish and Decapod Crustaceans: Process, Theory and Application

Pittman

McAlpine

2003

Advances in Marine Biology

222

178

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Section: Eggs and Larvaementioning

confidence: 99%

Movements of Marine Fish and Decapod Crustaceans: Process, Theory and Application

Pittman

McAlpine

2003

Advances in Marine Biology

222

178

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“…At the end of the twentieth century, ecological modeling of populations started to incorporate individual variation (Judson 1994), recognizing that individuals are different, whether by genetics, environment, or both. Individual-level niche variability is important in ecology and conservation because of its influence on competitive interactions and population stability (Bolnick et al 2003).…”

Section: Individual Variationmentioning

confidence: 99%

Focusing Ecological Research for Conservation

Cristescu

Boyce

2013

AMBIO

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Ecologists are increasingly actively involved in conservation. We identify five key topics from a broad sweep of ecology that merit research attention to meet conservation needs. We examine questions from landscape ecology, behavioral ecology, ecosystem dynamics, community ecology, and nutrient cycling related to key topics. Based on literature review and publication trend assessment, consultation with colleagues, and roundtable discussions at the 24th International Congress for Conservation Biology, focused research on the following topics could benefit conservation while advancing ecological understanding: 1. Carbon sequestration, requiring increased linkages to biodiversity conservation; 2. Ecological invasiveness, challenging our ability to find solutions to ecological aliens; 3. Individual variation, having applications in the conservation of rare species; 4. Movement of organisms, integrating ecological processes across landscapes and scales and addressing habitat fragmentation; and 5. Trophic-level interactions, driving ecological dynamics at the ecosystemlevel. Addressing these will require cross-disciplinary research under the overarching framework of conservation ecology.

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“…Por um certo ponto de vista, os modelos clássicos e os MBI podem ser pensados simplesmente como posições diferentes dentro de um gradiente de precisão e de generalidade inerente à prática da modelagem (De Angelis & Rose, 1992;Judson, 1994). É consenso no meio científico que modelos mais gerais perdem em precisão, e modelos mais precisos perdem em capacidade de generalização (Levins, 1968).…”

Section: Mbi Versus Modelos Clássicosunclassified

“…Neste sentido, ele vem fortalecer a discussão científica sobre o assunto, juntando-se a outras revisões já publicadas na literatura (Huston et al, 1988;De Angelis & Gross, 1992;Judson, 1994;Uchmanski & Grimm, 1996;Grimm, 1999). A participação de pesquisadores brasileiros neste cenário da modelagem é ainda escassa, e, portanto, a presente revisão é importante para divulgá-lo no meio científico nacional.…”

Section: Introductionunclassified

Sete motivações teóricas para o uso da modelagem baseada no indivíduo em ecologia

Giacomini

2007

Acta Amaz.

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RESUMOA modelagem baseada no indivíduo tem sido crescentemente empregada para analisar processos ecológicos, desenvolver e avaliar teorias, bem como para fins de manejo da vida silvestre e conservação. Os modelos baseados no indivíduo (MBI) são bastante flexíveis, permitem o uso detalhado de parâmetros com maior significado biológico, sendo portanto mais realistas do que modelos populacionais clássicos, mais presos dentro de um rígido formalismo matemático. O presente artigo apresenta e discute sete razões para a adoção dos MBI em estudos de simulação na Ecologia: (1) a inerente complexidade de sistemas ecológicos, impassíveis de uma análise matemática formal; (2) processos populacionais são fenômenos emergentes, resultando das interações entre seus elementos constituintes (indivíduos) e destes com o meio; (3) poder de predição; (4) a adoção definitiva, por parte da Ecologia, de uma visão evolutiva; (5) indivíduos são entidades discretas; (6) interações são localizadas no espaço e (7) indivíduos diferem entre si. PALAVRAS-CHAVEModelagem baseada no indivíduo, Ecologia, Dinâmica de populações. Seven theoretical reasons for using individual-based modeling in Ecology ABSTRACTIndividual-based modeling has been increasingly used to analyze ecological processes, to develop and to evaluate theories, as well as to the management of wild life and conservation. The individual-based models (IBM) are quite flexible, allowing a detailed inclusion of parameters with greater biological meaning, therefore being more realistic than classical population models, which are too constrained inside mathematical formalisms. The present paper discuss seven reasons for IBM to be adopted in simulation studies inside Ecology: (1) ecological systems are inherently complex, being not open to a complete formal mathematical analysis; (2) population processes are emergent outputs from the interactions among individuals and the environment; (3) predictive power; (4) the evolutive view as a definitive guide for ecological studies; (5) individuals are discrete entities; (6) interactions are localized in space and (7) individuals present differences among them.

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The rise of the individual-based model in ecology

Cited by 359 publications

References 16 publications

Movements of Marine Fish and Decapod Crustaceans: Process, Theory and Application

Movements of Marine Fish and Decapod Crustaceans: Process, Theory and Application

Focusing Ecological Research for Conservation

Sete motivações teóricas para o uso da modelagem baseada no indivíduo em ecologia

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