Significant differences and curvilinearity in the self-thinning relationships of 11 temperate tree species assessed from forest inventory data

Charru, Marie; Seynave, Ingrid; Morneau, François; Rivoire, Michaël; Bontemps, Jean‐Daniel

doi:10.1007/s13595-011-0149-0

Cited by 74 publications

(86 citation statements)

References 30 publications

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“…It is generally assumed that the parameters of the STR vary between species [27,40], but in the literature different parameters for the same species also exist [21,27,41,42]. In order to assess how sensitive mixing effects are to the parameters of the STR, we did not use only our own parameters but alternatively recalculated BA max (Equation (4)) using the value for C and E described in Charru et al [43].…”

Section: Self-thinning Rulementioning

confidence: 99%

Mixing Effects in Norway Spruce—European Beech Stands Are Modulated by Site Quality, Stand Age and Moisture Availability

Houpert

Rohner

Forrester

et al. 2018

Forests

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Abstract:Although mixing tree species is considered an efficient risk-reduction strategy in the face of climate change, the conditions where mixtures are more productive than monocultures are under ongoing debate. Generalizations have been difficult because of the variety of methods used and due to contradictory findings regarding the effects of the species investigated, mixing proportions, and many site and stand conditions. Using data from 960 plots of the Swiss National Forest Inventory data, we assessed whether Picea abies (L.) Karst-Fagus sylvatica L. mixed stands are more productive than pure stands, and whether the mixing effect depends on site-or stand-characteristics. The species proportions were estimated using species proportion by area, which depends on the maximum stand basal area of an unmanaged stand (BA max ). Four different alternatives were used to estimate BA max and to investigate the effect of these differing alternatives on the estimated mixture effect. On average, the mixture had a negative effect on the growth of Picea abies. However, this effect decreased as moisture availability increased. Fagus sylvatica grew better in mixtures and this effect increased with site quality. A significant interaction between species proportions and quadratic mean diameter, a proxy for stand age, was found for both species: the older the stand, the better the growth of Fagus sylvatica and the lower the growth of Picea abies. Overyielding was predicted for 80% of the investigated sites. The alternative to estimate BA max weakly modulated the estimated mixture effect, but it did not affect the way mixing effects changed with site characteristics.

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Section: Self-thinning Rulementioning

confidence: 99%

Mixing Effects in Norway Spruce—European Beech Stands Are Modulated by Site Quality, Stand Age and Moisture Availability

Houpert

Rohner

Forrester

et al. 2018

Forests

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“…Table 2 Table 3 Statistics for the relationships between the Scots pine proportions derived by the tree-level methods and those by the stand-level approach with potentials from the relative density index depending on the Martonne index (''RDI''). For abbreviations see Table 2 Stand-level approach Tree-level method Our results also showed that Charru et al (2012) and Hann (2014) were right in stating that it can be difficult to find such monospecific reference stands in every case. Mixed-species experiments often do not comprise reference stands of the respective species.…”

Section: Discussionmentioning

confidence: 52%

“…A possible explanation for this finding was already mentioned above. According to Charru et al (2012) and Hann (2014), it might have been difficult to find appropriate reference monospecific stands to obtain maximum density especially when investigating temporary plots. The comparability of the site conditions of reference monospecific stands can surely be judged best on-site.…”

Section: Discussionmentioning

confidence: 99%

“…and European beech (Fagus sylvatica L.) Dirnberger and Sterba (2014) showed that the estimation of the mixture proportions using the basal area of neighboring monospecific stands delivered satisfying results for evaluating the growth efficiency, if the appropriate maximum density for each species was represented by the monospecific stand. Charru et al (2012) and Hann (2014) pointed out that it may be difficult to find such neighboring reference stands in temporary plots representing the maximum density, because the management history in temporary plots is often not known. In other words, with increasing stand age it is increasingly unlikely to find reference stands that represent the maximum density.…”

Section: Introductionmentioning

confidence: 99%

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Species proportions by area in mixtures of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.)

et al. 2016

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Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) dominate many of the European forest stands. Also, mixtures of European beech and Scots pine more or less occur over all European countries, but have been scarcely investigated. The area occupied by each species is of high relevance, especially for growth evaluation and comparison of different species in mixed and monospecific stands. Thus, we studied different methods to describe species proportions and their definition as proportion by area. 25 triplets consisting of mixed and monospecific stands were established across Europe ranging from Lithuania to Spain in northern to southern direction and from Bulgaria to Belgium in eastern to western direction. On stand level, the conclusive method for estimating the species proportion as a fraction of the stand area relates the observed density (tree number or basal area) to its potential. This stand-level estimation makes use of the potential from comparable neighboring monospecific stands or from maximum density lines derived from other data, e.g. forest inventories or permanent observations plots. At tree level, the fraction of the stand area occupied by a species can be derived from the Forest Res (2017) 136:171-183 DOI 10.1007/s10342-016-1017 proportions of their crown projection area or of their leaf area. The estimates of the potentials obtained from neighboring monospecific stands, especially in older stands, were poorer than those from the maximum density line depending on the Martonne aridity index. Therefore, the stand-level method in combination with the Martonne aridity index for potential densities can be highly recommended. The species' proportions estimated with this method are best approximated by the proportions of the species' leaf areas. In forest practice, the most commonly applied method is an ocular estimation of the proportions by crown projection area. Even though the proportions of pine were calculated here by measuring crown projection areas in the field, we found this method to underestimate the proportion by 25% compared to the stand-level approach.Eur J

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“…However, one model, Lemoine does not provide mortality. This is due to the fact that it was developed for maritime pine (Pinus pinaster Aiton) stands in a region with very intensive management for which thinning practices extract unhealthy trees faster than natural mortality can, making it impossible to use National Forest Inventory (NFI) data to set up realistic self-thinning curves [34]. Therefore, for Lemoine, a workaround was found to define a thinning regime in unmanaged stands similar to natural mortality, based on self-thinning curves from Portugal [35].…”

Section: Mortalitymentioning

confidence: 99%

Decision Support Tools and Strategies to Simulate Forest Landscape Evolutions Integrating Forest Owner Behaviour: A Review from the Case Studies of the European Project, INTEGRAL

et al. 2017

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For forest sustainability and vulnerability assessment, the landscape scale is considered to be more and more relevant as the stand level approaches its known limitations. This review, which describes the main forest landscape simulation tools used in the 20 European case studies of the European project "Future-oriented integrated management of European forest landscapes" (INTEGRAL), gives an update on existing decision support tools to run landscape simulation from Mediterranean to boreal ecosystems. The main growth models and software available in Europe are described, and the strengths and weaknesses of different approaches are discussed. Trades-offs between input efforts and output are illustrated. Recommendations for the selection of a forest landscape simulator are given. The paper concludes by describing the need to have tools that are able to cope with climate change and the need to build more robust indicators for assessment of forest landscape sustainability and vulnerability.

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Significant differences and curvilinearity in the self-thinning relationships of 11 temperate tree species assessed from forest inventory data

Abstract: International audience

Cited by 74 publications

References 30 publications

Mixing Effects in Norway Spruce—European Beech Stands Are Modulated by Site Quality, Stand Age and Moisture Availability

Mixing Effects in Norway Spruce—European Beech Stands Are Modulated by Site Quality, Stand Age and Moisture Availability

Species proportions by area in mixtures of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.)

Decision Support Tools and Strategies to Simulate Forest Landscape Evolutions Integrating Forest Owner Behaviour: A Review from the Case Studies of the European Project, INTEGRAL

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