Scaling up models of tree competition for tropical forest population genetics simulation

Phillips, P.D.; Thompson, Ian; Silva, Javier; Gardingen, P.R. van; Деген, Бернд

doi:10.1016/j.ecolmodel.2004.04.029

Cited by 4 publications

(4 citation statements)

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“…Based on a literature review and theoretical considerations, Jennings et al (2001) argue that felling regimes that allow for adequate natural regeneration to be present before felling, and for each felled adult tree to be replaced, will also ensure that felling impacts on genetic diversity are small (except for the most light-demanding climax species). Recent developments in predictive models that integrate tropical forest dynamics and gene flow have meant that the assumption made by Jennings et al (2001) can now be analysed for several consecutive felling cycles (Degen and Roubik 2004;Phillips et al 2004;Dreyfus et al 2005;Degen et al 2006). This is important if guidelines for sustainable forest management are to be drawn up: the presence of regeneration may be assessed in the field, but meaningful measurements of genetic variation are impractical for forest managers (Jennings et al 2001).…”

Section: Introductionmentioning

confidence: 98%

Relationships between demography and gene flow and their importance for the conservation of tree populations in tropical forests under selective felling regimes

et al. 2009

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Determining how tropical tree populations subject to selective felling (logging) pressure may be conserved is a crucial issue for forest management and studying this issue requires a comprehensive understanding of the relationships between population demography and gene flow. We used a simulation model, SELVA, to study (1) the relative impact of demographic factors (juvenile mortality, felling regime) and genetic factors (selfing, number and location of fathers, mating success) on long-term genetic diversity; and (2) the impact of different felling regimes on population size versus genetic diversity. Impact was measured by means of model sensitivity analyses. Juvenile mortality had the highest impact on the number of alleles and genotypes, and on the genetic distance between the original and final populations. Selfing had the greatest impact on observed heterozygote frequency and fixation index. Other factors and interactions had only minor effects. Overall, felling had a greater impact on population size than on genetic diversity. Interestingly, populations under relatively low felling pressure even had a somewhat lower fixation index than undisturbed populations (no felling).We conclude that demographic processes such as juvenile mortality should be modelled thoroughly to obtain reliable long-term predictions of genetic diversity. Mortality in selfed and outcrossed progenies should be modelled explicitly by taking inbreeding depression into account. The modelling of selfing based on population rate appeared to be oversimplifying and should account for inter-tree variation. Forest management should pay particular attention to the regeneration capacities of felled species. (Résumé d'auteur

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Section: Introductionmentioning

confidence: 98%

Relationships between demography and gene flow and their importance for the conservation of tree populations in tropical forests under selective felling regimes

et al. 2009

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“…In particular, if the competition indices including distance to the neighbouring trees demonstrate very high performance, then the difference with the spatial model could prove more significant than in our study. Another solution would be to work directly with the distributions of the competition indices, but this would make it necessary to model the evolution of these distributions over time (Phillips et al, 2004).…”

Section: Model Limitationsmentioning

confidence: 99%

“…This raises the question of whether it is possible to use less costly information. For example, Phillips et al (2004) modelled distributions of competition indices for use with a distance-dependent model where each tree had a competition index assigned at random but respecting normal distributions whose parameters were dependent on the species and size of the subject tree.…”

Section: Introductionmentioning

confidence: 99%

Un modèle intermédiaire entre un modèle arbre dépendant et indépendant des distances pour simuler la croissance des peuplements mélangés

Pérot¹,

Goreaud²,

Ginisty³

et al. 2010

Ann. For. Sci.

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Abstract• It is widely believed that distance-independent tree models fail to take into account the complexity of mixed stands due to the fact that spatial structure often has a greater impact on growth and dynamics in mixed stands than in pure stands. On the other hand, distance-dependent tree models are difficult to use because they require a map of the stand, which is not only very costly but also impracticable in a routine management context.• This paper reports the development of a model bridging distance-dependent and distanceindependent tree models, and that is designed to simulate the growth of a mixed forest. The model used distributions of the number of neighbours to reconstruct tree neighbourhoods and compute the competition indices needed as inputs to the growth model.• Data were collected from a mixed forest of sessile oak and Scots pine in central France. The study showed that local competition indices explained a significant proportion of growth variability and that intraspecific competition was greater than interspecific competition. The model based on neighbourhood distributions gave consistent predictions compared to a distance-dependent model.• This type of model could be used instead of distance-dependent models in management contexts. Mots-clés :Peuplement mélangé / mélange chêne-pin / modèle de croissance / distribution de voisinage / indice de compétition Résumé -Un modèle intermédiaire entre un modèle arbre dépendant et indépendant des distances pour simuler la croissance des peuplements mélangés.• On considère généralement que les modèles arbre indépendant des distances ne permettent pas de rendre compte de la complexité des peuplements mélangés. En effet, la structure spatiale a souvent un rôle plus important sur la croissance et la dynamique dans ces peuplements que dans les peuplements purs. Les modèles arbre dépendant des distances sont quant à eux difficile à utiliser, car ils néces-sitent une cartographie du peuplement qui est une information très coûteuse à obtenir et qui n'est pas disponible dans un cadre de gestion courante.• Cet article présente un modèle intermédiaire entre un modèle arbre indépendant des distances et un modèle arbre dépendant des distances. Ce modèle a été développé pour simuler la croissance de peuplements mélangés. Il utilise des distributions de nombre de voisins pour reconstruire le voisinage des arbres. Ces voisinages reconstruits permettent ensuite de calculer les indices de compétition né-cessaires dans l'équation de croissance.• Les données ont été récoltées dans des peuplements mélangés de chêne sessile et de pin sylvestre dans le centre de la France. Ce travail montre que des indices de compétition locaux expliquent une part significative de la croissance individuelle et que la compétition intraspécifique est supérieure à la compétition interspécifique. Le modèle basé sur les distributions de voisinage donne des prédictions cohérentes par rapport au modèle arbre dépendant des distances.• Ce type de modèle pourrait être utilisé à la place des modèles...

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“…Modern theory construction should not be bound by the limits of analytical mathematics. The new field of computational ecology is an attempt to combine more realistic models of ecological systems with the often large data sets available to aid in managing these systems, utilizing techniques of modern computational science to manage the data, visualize model behaviour, and statistically analyze the complex dynamics which arise [9][10][11][12] . This often involves the use of Geographic Information Systems to provide underlying static or dynamic maps of abiotic and biotic factors, which are of importance in the natural system for specific interest [13] .…”

Section: Introductionmentioning

confidence: 99%

A connection between discrete individual-based and continuous population-based models: A forest modelling case study

Gómez-Mourelo

Gisbert

2013

AIR

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Modelling is perceived as a way of dealing with real life activities. The aim of this work is to compare two approaches to study forest dynamics, namely discrete individual-based and continuous population-based models, in order to contribute to an improvement in their use among researchers. An analysis of the strengths, weaknesses, opportunities and threats of the two different approaches, jointly with a mention of the state-of-the-art, allows us to illustrate this discussion. We will also provide a bridge or connection between these two modelling methodologies. This link will be developed in detail in a particular study case. Firstly, an individual-tree based model to deal with dynamics of forests is presented. Secondly, this model is scaled up to a system of partial differential equations, which represents the limiting behaviour of the individualbased model.

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Scaling up models of tree competition for tropical forest population genetics simulation

Cited by 4 publications

References 17 publications

Relationships between demography and gene flow and their importance for the conservation of tree populations in tropical forests under selective felling regimes

Relationships between demography and gene flow and their importance for the conservation of tree populations in tropical forests under selective felling regimes

Un modèle intermédiaire entre un modèle arbre dépendant et indépendant des distances pour simuler la croissance des peuplements mélangés

A connection between discrete individual-based and continuous population-based models: A forest modelling case study

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