Identifying old Norway spruce and Scots pine trees by morphological traits and site characteristics

Metsa katvuse ja liituse hindamine lennukilt laserskanneriga Tests were carried out in mature Scots pine, Norway spruce and Silver birch stands at Järvselja, Estonia, to estimate canopy cover (K) and crown cover (L) from airborne lidar data. Independent estimates Kc and Lc for K and L were calculated from the Cajanus tube readings made on the ground at 1.3 m height. Lidar data based cover estimates depended on the inclusion of different order returns significantly. In all the stands first order return based estimate K1 was biased positively (3-10%) at the reference height of 1.3 m compared to ground measurements. All lidar based estimates decreased with increasing the reference height. Single return (Ky) and all return (Kk) based canopy cover estimates depended more on the sand structure compared to K1. The ratio of all return count to the first return count D behaved like crown cover estimate in all stands. However, in spruce stand D understimated Lc significantly. In the Scots pine stand K1(1.3) = 0.7431 was most similar canopy cover estimate relative to the ground estimate Kc = 0,7362 whereas Ky(1.3) and Kk(1.3) gave significant underestimates (>15%) of K. Caused by the simple structure of Scots pine stand - only one layer pine trees, the Cajanus tube based canopy cover (Kc), crown cover (Lc) and lidar data based canopy density D(1.3) values were rather similar. In the Norway spruce stand and in the Silver birch stand second layer and regeneration trees were present. In the Silver birch stand Kk(1.3) and Ky(1.3) estimated Kc rather well. In the Norway spruce stand Ky(1.3) and K1(1.3) were the best estimators of Kc whereas Kk(1.3) underestimated canopy cover. Lidar data were found to be usable for canopy cover and crown cover assessment but the selection of the estimator is not trivial and depends on the stand structure.

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The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve

Canadian Journal of Forest Research ◽

10.1139/x04-055 ◽

2004 ◽

Vol 34 (9) ◽

pp. 1791-1801 ◽

Cited By ~ 116

Author(s):

M Maltamo ◽

K Mustonen ◽

J Hyyppä ◽

J Pitkänen ◽

X Yu

Keyword(s):

Norway Spruce ◽

Scots Pine ◽

Laser Scanning ◽

Stand Structure ◽

Tree Height ◽

Heterogeneous Structure ◽

Mixed Stands ◽

Individual Tree ◽

Tree Layer ◽

Pine Trees

This study examines the ability of high-density laser scanning to produce single-tree estimates in mixed stands of heterogeneous structure. Individual trees were detected from a constructed digital canopy height model by locating local maxima of the height values. The reference material comprised accurately measured field data for 10 mapped sample plots containing Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.), and different birches. To verify the accuracy of height measurements of single trees in more detail, the height of 29 Scots pine trees and their annual shoots of the last few years was carefully measured with a tacheometer and a glass fibre rod. The considered variables were the proportion of detected trees and tree height. As more than 80% of the dominant trees were detected, the results indicated that laser scanning can accurately describe the trees of the dominant tree layer. Because of the dense understorey tree layer in most of the sample plots, about 40% of all trees were detected. On the plot level, the stand structure affected the accuracy of the results considerably. The scanning-based tree height was most accurate for Norway spruce and least accurate for birches. The height of the separately measured 29 Scots pine trees was obtained with an accuracy of ±50 cm or better.

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Intrapopulational variability of Pinus sylvestris L. from Piekielna Góra in respect to cone and needle traits

Acta Societatis Botanicorum Poloniae ◽

10.5586/asbp.1993.019 ◽

2014 ◽

Vol 62 (3-4) ◽

pp. 131-136

Author(s):

Maria A. Bobowicz

Keyword(s):

Pinus Sylvestris ◽

Scots Pine ◽

Spanning Tree ◽

Morphological Traits ◽

Minimum Spanning Tree ◽

Mahalanobis Distances ◽

Setting Angle ◽

Pine Trees ◽

Perform Cluster Analysis ◽

One Year

From 37 Scots pine trees in Piekielna Góra the two-year old cones were collected and studied in respect to 14 morphological traits including the setting angle. One-year old cones from the same trees were examined in respect to their setting angle only. The data obtained for two-year old cones were subject to a whole range of multivariate analytical methods, to detect variability between randomly selected trees. Discriminant analysis was performed, Mahalanobis distances between each pair of trees were calculated and their significance was estimated using the Hotelling T<sup>2</sup> statistics. A minimum spanning tree was constructed on the basis of the shortest Mahalanobis distances while Euklidean distances served to perform cluster analysis. The randomly selected sample of Scots pine population did not show any internal, significantly differentiated groups and variability among the trees was low. Cone dimensions belonged to the most variable traits, but the ratio of cone length to cone width showed the lowest variability. The extensive similarity of the population to the other earlier examined populations of <i>Pinus sylvestris</i> L. from the Kłodzko District, and certain divergencies from the population are demonstrated.

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Growth Responses of Boreal Scots Pine, Norway Spruce and Silver Birch Seedlings to Simulated Climate Warming over Three Growing Seasons in a Controlled Field Experiment

Forests ◽

10.3390/f11090943 ◽

2020 ◽

Vol 11 (9) ◽

pp. 943

Author(s):

Katri Nissinen ◽

Virpi Virjamo ◽

Antti Kilpeläinen ◽

Veli-Pekka Ikonen ◽

Laura Pikkarainen ◽

...

Keyword(s):

Norway Spruce ◽

Scots Pine ◽

Root Biomass ◽

Growing Season ◽

Silver Birch ◽

Shoot Biomass ◽

Growth Responses ◽

Growing Seasons ◽

Simulated Climate ◽

Shoot And Root Biomass

We studied the growth responses of boreal Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies L. Karst.) and silver birch (Betula pendula Roth) seedlings to simulated climate warming of an average of 1.3 °C over the growing season in a controlled field experiment in central Finland. We had six replicate plots for elevated and ambient temperature for each tree species. The warming treatment lasted for the conifers for three growing seasons and for the birch two growing seasons. We measured the height and diameter growth of all the seedlings weekly during the growing season. The shoot and root biomass and their ratios were measured annually in one-third of seedlings harvested from each plot in autumn. After two growing seasons, the height, diameter and shoot biomass were 45%, 19% and 41% larger in silver birch seedlings under the warming treatment, but the root biomass was clearly less affected. After three growing seasons, the height, diameter, shoot and root biomass were under a warming treatment 39, 47, 189 and 113% greater in Scots pine, but the root:shoot ratio 29% lower, respectively. The corresponding responses of Norway spruce to warming were clearly smaller (e.g., shoot biomass 46% higher under a warming treatment). As a comparison, the relative response of height growth in silver birch was after two growing seasons equal to that measured in Scots pine after three growing seasons. Based on our findings, especially silver birch seedlings, but also Scots pine seedlings benefitted from warming, which should be taken into account in forest regeneration in the future.

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Thin kerf cutting forces of frozen and non-frozen Norway spruce and Scots pine wood

Wood Material Science and Engineering ◽

10.1080/17480272.2021.1925964 ◽

2021 ◽

pp. 1-7

Author(s):

Vanessa Meulenberg ◽

Mats Ekevad ◽

Mikael Svensson

Keyword(s):

Norway Spruce ◽

Scots Pine ◽

Cutting Forces ◽

Pine Wood

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Interacting effects of insect and ungulate herbivory on Scots pine growth

Scientific Reports ◽

10.1038/s41598-020-79346-3 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Michelle Nordkvist ◽

Maartje J. Klapwijk ◽

La rs Edenius ◽

Christer Björkman

Keyword(s):

Plant Growth ◽

Scots Pine ◽

Growth Response ◽

Insect Herbivory ◽

Additive Effects ◽

Significant Interaction Effect ◽

Ungulate Herbivory ◽

Pine Trees ◽

Multiple Species ◽

Species Specific

AbstractMost plants are subjected to damage from multiple species of herbivores, and the combined impact on plant growth can be non-additive. Since plant response to herbivores tends to be species specific, and change with repeated damage, the outcome likely depend on the sequence and number of attacks. There is a high likelihood of non-additive effects on plant growth by damage from mammals and insects, as mammalian herbivory can alter insect herbivore damage levels, yet few studies have explored this. We report the growth response of young Scots pine trees to sequential mammal and insect herbivory, varying the sequence and number of damage events, using an ungulate-pine-sawfly system. Combined sawfly and ungulate herbivory had both additive and non-additive effects on pine growth—the growth response depended on the combination of ungulate browsing and sawfly defoliation (significant interaction effect). Repeated sawfly herbivory reduced growth (compared to single defoliation) on un-browsed trees. However, on browsed trees, depending on when sawfly defoliation was combined with browsing, trees exposed to repeated sawfly herbivory had both higher, lower and the same growth as trees exposed to a single defoliation event. We conclude that the sequence of attacks by multiple herbivores determine plant growth response.

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