Shade-tolerant tree species from temperate forests differ in their competitive abilities: A case study from Roztocze, south-eastern Poland

Szwagrzyk, Jerzy; Szewczyk, Janusz; Maciejewski, Zbigniew

doi:10.1016/j.foreco.2012.06.031

Cited by 34 publications

(14 citation statements)

References 36 publications

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“…Moreover, as we wanted to relate the indices to the lidar data in order to have the possibility of also predicting competition indices in areas not covered by field data, we needed to have a fixed value of the search radius. We chose 10 m as it was used before in other studies investigating forests with similar characteristics [53]. It is worth noting that we also carried out the same analyses using other values, computed in other ways, but the used radius was quite close to 10 m and the final results were very similar or the same.…”

Section: Discussionmentioning

confidence: 99%

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Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

et al. 2019

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Competitive interactions are important predictors of tree growth. Spatial and temporal changes in resource availability, and variation in species and spatial patterning of trees alter competitive interactions, thus affecting tree growth and, hence, biomass. Competition indices are used to quantify the level of competition among trees. As these indices are normally computed only over small areas, where field measurements are done, it would be useful to have a tool to predict them over large areas. On this regard, remote sensing, and in particular light detection and ranging (lidar) data, could be the perfect tool. The objective of this study was to use lidar metrics to predict competition (on the basis of distance-dependent competition indices) of individual trees and to relate them with tree aboveground biomass (AGB). The selected study area was a mountain forest area located in the Italian Alps. The analyses focused on the two dominant species of the area: Silver fir (Abies alba Mill.) and Norway spruce (Picea abies (L.) H. Karst). The results showed that lidar metrics could be used to predict competition indices of individual trees (R 2 above 0.66). Moreover, AGB decreased as competition increased, suggesting that variations in the availability of resources in the soil, and the ability of plants to withstand competition for light may influence the partitioning of biomass.

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Section: Discussionmentioning

confidence: 99%

“…Previous studies showed that a search radius of 10 m is sufficiently wide to capture all the competitive effects of neighboring trees [51,52]. In particular Szwagrzyk et al [53] used a radius of 10 m in an area with similar structural parameters to the area in this study. Thus, we decided to use such a value.…”

Section: Extraction Of Competition Indicesmentioning

confidence: 99%

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

et al. 2019

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“…mixed stands in a wide range of sites (Roženbergar et al 2007;Szwagrzyk et al 2012). Species coexistence under such conditions contravenes the logic that species with the highest long-term relative population growth rate in admixture with other species should oust all others (Wilson 2011).…”

Section: Introductionmentioning

confidence: 98%

Regeneration patterns of the late-successional Abies alba Mill.: inhibition in monospecific stands and colonization in mixed stands

Paluch

Kolodziej

Skrzyszewski

et al. 2016

Annals of Forest Science

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Abstract& Key message In Abies alba Mill. stands and mixed stands of A. alba and Picea abies L. (H. Karst), microsites neighbouring the trunks of adult trees were more conducive to A. alba regeneration. Although at the stand level, the effect of Fagus sylvatica L. was positive; the local effect of the adult F. sylvatica neighbourhood was insignificant. Hence, forming mixed stands with a fine-grained mosaic of admixed species might better facilitate natural regeneration of A. alba than monospecific stands.

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“…frequently been used in competition studies (e.g.Wimberly and Bare 1996, Radtke et al 345 2003,Szwagrzyk et al 2012, Fraver et al 2014, was less appropriate for the mature beech-346 fir-spruce mixed forests in this region. This result is very interesting because distance-347 dependent indices are usually considered most useful in explaining competitive interactions 348(Larocque 2002, Stadt et al 2007).…”

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confidence: 98%

Different mixtures of Norway spruce, silver fir, and European beech modify competitive interactions in central European mature mixed forests

et al. 2015

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17The influence of forest ecology and strategic planning has increased in importance to support 18 the management of mixed-species forests to enhance biodiversity. However, little is known 19 about competitive and facilitative interactions between trees and species in mixed fir-beech-20 spruce forests, mostly because of a lack of long-term experimental research. In the 1960s, 21 long-term sample plots were established in the Western Carpathians to develop region-22 specific yield models. Trees in the plots were measured at 5-to 16-year intervals from 23 1967(68). In 2010, the positions of standing trees in all plots were identified spatially. Stump 24 positions were also identified to record the coordinates of trees that had been removed or had 25 died. The objectives of this study were to evaluate the applicability of widely used 26 competition indices for mature fir-beech-spruce mixed forests and to test whether the tree 27 competition zone changes among species and forest stands of different stocking density.28Results showed that the best competition index was based on the comparison of the basal area 29 of competitors and the subject tree in the radius defined as a function of stand density and 30 species. In addition, beech was found to be a strong self-competitor, which was not the case 31 for silver fir. Results suggest that simpler competition indices are better suited for such 32 diverse forests, as more complex indices do not describe the competition interactions 33 sufficiently well. 34

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Shade-tolerant tree species from temperate forests differ in their competitive abilities: A case study from Roztocze, south-eastern Poland

Cited by 34 publications

References 36 publications

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

Regeneration patterns of the late-successional Abies alba Mill.: inhibition in monospecific stands and colonization in mixed stands

Different mixtures of Norway spruce, silver fir, and European beech modify competitive interactions in central European mature mixed forests

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