2004
DOI: 10.1016/j.ecolmodel.2004.02.003
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Population dynamics of a tropical palm: use of a genetic algorithm for inverse parameter estimation

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Cited by 19 publications
(5 citation statements)
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“…The short-term nature of many experiments limits their ability to evaluate the effects of harvest on plant demography or determine sustainable harvest levels, especially for long-lived species or when harvest impacts are likely to be cumulative. To overcome this, modeling has been used extensively to explore long-term effects of harvest on NTFP demography and population dynamics (Svenning and Macía, 2002;Cropper and Anderson, 2002;Endress et al, 2004a;Rodríguez-Buriticá et al, 2005). However, modeling alone is not sufficient to overcome a lack of empirical data, and modeling efforts can produced unrealistic or inaccurate results (Bierzychudek, 1999;Anderson and Putz, 2002).…”
Section: Introductionmentioning
confidence: 98%
“…The short-term nature of many experiments limits their ability to evaluate the effects of harvest on plant demography or determine sustainable harvest levels, especially for long-lived species or when harvest impacts are likely to be cumulative. To overcome this, modeling has been used extensively to explore long-term effects of harvest on NTFP demography and population dynamics (Svenning and Macía, 2002;Cropper and Anderson, 2002;Endress et al, 2004a;Rodríguez-Buriticá et al, 2005). However, modeling alone is not sufficient to overcome a lack of empirical data, and modeling efforts can produced unrealistic or inaccurate results (Bierzychudek, 1999;Anderson and Putz, 2002).…”
Section: Introductionmentioning
confidence: 98%
“…The role of density dependence is important in some tropical palm populations (Cropper & Anderson 2004), but there are limited data available. A study of the tropical palm Euterpe edulis showed that there was a clear effect of density on the population structure and demography (Matos et al .…”
mentioning
confidence: 99%
“…In the absence of such data, inverse modelling approaches where population‐scale data, such as relative abundance of individuals of different sizes, or prevalence of the infection, are used to strengthen inference (e.g. Cropper & Anderson ) may provide some power, but parameter identifiability is likely to be a major challenge. Broader data on the ecology and life history of the species will also be important for robust prediction.…”
Section: Discussionmentioning
confidence: 99%