Modeling neighborhood effects on the growth and survival of individual trees in a natural temperate species-rich forest

Zhao, Dehai; Borders, Bruce E.; Wilson, Machelle; Rathbun, Stephen L.

doi:10.1016/j.ecolmodel.2006.02.002

Cited by 70 publications

(61 citation statements)

References 33 publications

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“…Despite the fact that the identity of neighbouring species is an important factor in the characterization of their competitive effects (Bella, 1971;Zhao et al, 2006;Kaitaniemi & Lintunen, 2010;Bošelá et al, 2013), no significant improvement appeared in recalculating the selected indices using Ellenberg's light values except for young trees. One possible explanation is that in our study plots about two-thirds of the trees analysed were birch with the same light factors.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, as ecology is spatial (Berger & Hildenbrandt, 2000), therefore by increasing the interval distance, the negative interaction of neighbours will decrease and spatial CIs take the explicit description of tree spacing into account. Additionally the identity of neighbouring species is an important factor in the characterization of their competitive effect (Bella, 1971;Zhao et al, 2006). Competition can occur among conspecific individuals, plants of same species, and hetero-specific individuals, plants of different species, termed intraspecific and interspecific competition, respectively.…”

Section: Study Datamentioning

confidence: 99%

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Analysis of Individual Tree Competition on Diameter Growth of Silver Birch in Estonia

2015

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Aim of study: The present study evaluates a set of competition indices including spatially explicit indices combined with different competitor selection approaches and non-spatially explicit competition indices. The aim was to quantify and describe the neighbouring effects on the tree diameter growth of silver birch trees.Area of study: Region throughout Estonia. Material and methods:Data from the Estonian Network of Forest Research Plots was used. After quantifying the selected indices, the best non-spatial indices and spatial indices (combined with neighbour selection methods) were separately devised into a growth model as a predictor variable to assess the ability of the diameter growth model before and after adding competition measures. To test the species-specific effect on the competition level, the superior indices were recalculated using Ellenberg's light indicators and incorporated into the diameter growth model.Main results: Statistical analyses showed that the diameter growth is a function of neighbourhood interactions and spatial indices were better growth predictors than non-spatial indices. In addition, the best selections of competitive neighbours were acquired based on the influence zone and the competition elimination angle concepts, and using Ellenberg's light values had no significant improvement in quantifying the competition effects.Research highlights: Although the best ranking spatial competition measures were superior to the best non-spatial indices, the differences were negligible.

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Section: Discussionmentioning

confidence: 99%

Section: Study Datamentioning

confidence: 99%

Analysis of Individual Tree Competition on Diameter Growth of Silver Birch in Estonia

2015

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“…It is also possible to incorporate a covariate in the statistical model, in order to control competition by adding elements such as the type and/or size of neighbouring plants [25]. This covariate corresponds to a competition index that can characterize the status of competition of a target plot by comparison with its neighbouring plots [24,26]. Studying plants instead of plots allows the study of intragenotypic competition.…”

Section: Introductionmentioning

confidence: 99%

An Index of Competition Reduces Statistical Variability and Improves Comparisons between Genotypes of Miscanthus

et al. 2012

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It is important for breeders and producers to be aware of competition effects for variety trials. We aimed at developing an index of competition to reduce statistical variability in field trials and improve comparisons between genotypes of Miscanthus. Twenty-one clones belonging to four species of Miscanthus (M. x giganteus, M. floridulus, M. sinensis, and M. sacchariflorus) planted at the same density were compared at two harvest dates during the second and third crop years. Aboveground volume was shown to be a good predictor of the aboveground biomass of the clones, and was analysed for the competition effect. The best competition index was the ground area occupied by the eight neighbour plants, among the four indices defined as covariates in the statistical models. It reduced the root mean square error of the aboveground volume by as much as 17 %, explaining up to 36 % of the residual error of the model. Our results then concerned the contribution of intragenotypic competition of Miscanthus to the variability between plants of a same clone during field trials, the relationship between competition ability and plant traits, and the comparison of genotypes regarding this competition. All clones showed negative competition sensitivities depending on harvest date, crop year, and clone. The competition effects lead to reduction in mean aboveground volume by up to 17 %. Competition sensitivities were strongly correlated with aboveground development (height and yield) in both crop years, whatever the harvest dates. In Miscanthus field trials, using a competition index may help to reduce statistical variability and improve comparisons between genotypes.

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“…São compostos de submodelos, entre eles os de mortalidade e crescimento da árvore, em altura e diâmetro. Várias informações, como os índices de competição (ZHAO et al, 2006), podem ser utilizadas como variáveis independentes nos diversos submodelos que compõem o MAI.…”

Section: Os Modelos Em Nível De áRvores Individuais (Mai)unclassified

Avaliação De Métodos De Seleção De Competidores Em Nível De Árvore Individual Em Uma Floresta Estacional Semidecidual1

et al. 2015

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RESUMO -Este estudo teve por objetivo avaliar a seleção de árvores competidoras com base em uma parcela circular com raio de 6 m e diâmetro das árvores superior ou igual a 5 cm, no uso do fator de área basal igual a 1, de acordo com o método de Bitterlich, e na disputa por espaço e luz observados em campo. Para isso, fez-se a seleção dos fustes competidores ao redor de 24 árvores objeto, escolhidas em função de sua importância, no que concerne ao estoque de carbono e ao valor de seus produtos madeireiros e não madeireiros. Após as análises, observou-se, pelo teste L&O, que ambos os métodos avaliados apresentaram baixa correlação em uma classe de diâmetro. Isso indica que a seleção dos competidores precisa ser mais estudada.Palavras-chave: Floresta Estacional Semidecidual; Índices de competição; Fator de área basal. EVALUATING DIFFERENT METHODS TO SELECT COMPETITORS AT INDIVIDUAL TREE LEVEL IN A SEMIDECIDUOUS FORESTABSTRACT -The objective of this study was to evaluate the selection of competing trees based on a circular plot with a radius of 6 meters and diameter of trees equal or superior to 5 cm; in the use of a basal area factor equal to 1, according to the Bitterlich's method; and based on the competition for space and light observed in the field. For this, there was the selection of stem competitors of about 24 trees, chosen due to their importance in relation to the carbon stock and value of their wood and non-wood products. After analysis, it was observed by the L&O test that both the evaluated methods showed low correlation in a diameter class. This indicates that the selection of competing trees needs to be more studied.

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Modeling neighborhood effects on the growth and survival of individual trees in a natural temperate species-rich forest

Cited by 70 publications

References 33 publications

Analysis of Individual Tree Competition on Diameter Growth of Silver Birch in Estonia

Analysis of Individual Tree Competition on Diameter Growth of Silver Birch in Estonia

An Index of Competition Reduces Statistical Variability and Improves Comparisons between Genotypes of Miscanthus

Avaliação De Métodos De Seleção De Competidores Em Nível De Árvore Individual Em Uma Floresta Estacional Semidecidual1

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