Next Article in Journal
The Nexus between the Austrian Forestry Sector and the Sustainable Development Goals: A Review of the Interlinkages
Next Article in Special Issue
The Resistance of Scots Pine (Pinus sylvestris L.) Half-sib Families to Heterobasidion annosum
Previous Article in Journal
Global Assessment of Climate-Driven Susceptibility to South American Leaf Blight of Rubber Using Emerging Hot Spot Analysis and Gridded Historical Daily Data
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of Rhabdocline pseudotsugae and Phaeocryptopus gaeumannii on the Selection of Suitable Provenances of Douglas Fir in Central Europe

1
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, CZ-165 00 Prague, Czech Republic
2
Department of Forest Tree Species Biology and Breeding, Forestry and Game Management Research Institute, Strnady 136, 252 02, Jíloviště, Czech Republic
*
Author to whom correspondence should be addressed.
Forests 2019, 10(3), 204; https://doi.org/10.3390/f10030204
Submission received: 31 January 2019 / Revised: 20 February 2019 / Accepted: 22 February 2019 / Published: 26 February 2019
(This article belongs to the Special Issue Forest Health: Fungal and Insect Ecology)

Abstract

:
Two diseases, Rhabdocline needle cast caused by Rhabdocline pseudotsugae Sydow, and Swiss needle cast caused by Phaeocryptopus gaeumannii (Rohde) Petr., recently became a severe threat to Central European Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) stands. Both pathogens infect assimilative organs causing needle chloritization and drop off. Pervasive infection by these pathogens has been recorded at the Hůrky provenance trial (Písek, South Bohemia, Czech Republic), established in 1971 as part of a series of experiments by International Union of Forest Research Organizations (IUFRO). The intensity and duration of needle cast sporulation were monitored using a Burkard spore trap, and the health status of 24 Douglas fir provenances from the original areal of distribution (British Columbia, Washington, Oregon) was evaluated under this trial. While comparing provenances, the following characteristics were surveyed: trunk volume, defoliation rate, and the difference in tree diameter between measurements in 2011 and 2016. A statistical evaluation was performed using the regression model and a decision tree. The highest sporulation rates on needles for both needle casts were observed from April to July. The Washington provenances 1069 North Bend, 1075 Enumclaw, and 1089 Cathlamet can be recommended for plantation, considering the provenances’ satisfactory productivity and low extent of damage from needle casts, while the provenances such as 1104 Brookings, 1028 Merritt (due to high mortality) and 1010 Barrière, 1021 D’Arcy, and 1067 Skykomish (due to high defoliation) are not suitable for plantation under Central European conditions.

Graphical Abstract

1. Introduction

During an examination of stands health in the neighborhood of the Hůrky research trial (Czech Republic) in 2012, infections of Douglas fir Pseudotsuga menziesii (Mirb.) Franco caused by pathogens Rhabdocline pseudotsugae Sydow and Phaeocryptopus gaeumannii (Rohde) Petr. were recorded for the first time. The occurrences of both needle casts were directly observed during the research trial itself. However, in 2011, when the trial had been evaluated by Kšír et al. [1], the needle cast problem was deemed insignificant. A repeated examination of the tree health status in 2015 confirmed the regular occurrence of both needle casts in the surrounding stands, and an increased infection rate was also reasserted in the provenance trial, with apparent differences in the defoliation of individual provenances detected.
Douglas fir has been introduced to Central Europe by forest managers for its high production of commercially valuable products and also for its ability to stabilize forest stands, mainly against windthrow [2,3]. Various plantations of this species with undocumented origin were created in Europe during the 19th century, while first provenance-based research, oriented to survival rate, production, and quality, was performed in Germany in 1910 [4]. It is also considered as an alternative to the domestic Norway spruce (Picea abies (L.) Karst.) in areas where the quality of the litter has deteriorated [3]. In comparison to Norway spruce, Douglas fir has a smaller effect on soil nutrients and has a positive effect on humus production, soil pH, and can regenerate naturally under suitable silvicultural treatments [2,5,6].
Although Douglas fir has successfully regenerated naturally in a number of European locations, e.g., References [7,8,9,10,11], artificial renewal of partially adapted first-generation Douglas fir stands has had mixed success. The most significant limitation, however, is the low quality of seeds from European sources [12,13]. In contrast to seeds from North America, European seeds exhibit low germination rates [2,14] and low resistance to the Douglas fir seed chalcid Megastigmus spermotrophus Wachtl, 1893 [2,15]. Hence, stand renewal can often fail even after using the seed orchards, and European forest managers have no other practical alternatives than relying on imports from the US and Canada [12]. Ultimately, the use of seeds from local sources with pre-adaptation to the site conditions of Central Europe is most the desirable option [16].
The natural range of the Douglas fir is large, and that is reflected in its substantial intra-species variability. Two varieties are currently distinguished [17] as Pseudotsuga menziesii (Mirb.) Franco var. menziesii (from here on P. m. var. menziesii) and Pseudotsuga menziesii (Mirb.) Franco var. glauca (from here on P. m. var. glauca). While P. m. var. menziesii grows closer to the Pacific coast at altitudes ranging from sea level to 1950 m a.s.l., P. m. var. glauca inhabits the more continental climate of mountainous and inland areas at altitudes of 250 m a.s.l. in the north to 3350 m a.s.l. in the south [18]. The main differences between the varieties are in the coloration of their needles, maximum age and size, growth rate and cycle, and resistance to climatic extremes and biological pests [19]. P. m. var. menziesii has the fastest growth and higher productivity and is usually more resistant to needle casts. However, it is more sensitive to winter transpiration and requires higher soil moisture to grow [20]. Alternatively, P. m. var. glauca grows more slowly and rarely reaches to 40 m height. It is frost-resistant and capable of enduring more massive shading and drought (arid conditions). However, due to its lower productivity, it is less used in Central European forestry [12,19].
In the domestic range of Douglas fir, fire is the decisive disturbance factor shaping the structure of local forests [21]. The selection pressures of abiotic factors such as frost and drought have contributed to the creation of a number of Douglas fir populations [22]. Among biotic pests, Dendroctonus pseudotsugae Hopkins, 1905 and Orgyia pseudotsugata have been shown to have a long-term impact on Douglas fir growth. Swiss needle cast (SNC) caused by P. gaeumannii emerged as a major disease during the 1980s and 1990s [23].
As for areas of non-natural occurrences in Europe, damage by late frost [24], winter transpiration [14] and late-spring frost [25] prevailed in the early phases of introduction (initial years). The resistance of certain provenances to frost can also be influenced by the early budding, which is a critical adaptive characteristic co-determining the length of the vegetation period and susceptibility to frost damage [25]. Campbell and Sorensen [26] have demonstrated that susceptibility to frost damage may increase due to the delay of budding by one week. The budding period is influenced primarily by elevation, geographic position, and distance from the ocean [22,26]. Usually, coastal provenances bud later (mid-May) than inland provenances (mid-April). Boyce [27] proposed such differences in the timing of budding as one of the reasons underlying the Douglas fir resistance to P. gaeumannii because a massive infection most often occurs before budding. Lavender and Hermann [19] considered the influence of early budding (i.e., earlier entry into dormancy) as a possible explanation for greater drought resistance in populations from higher elevations.
Needle casts are an especially serious biotic constraint on Central European forests. For the last few decades, the most significant damage has been Rhabdocline needle cast (RNC) caused by R. pseudotsugae, while SNC has emerged more recently, e.g., References [28,29,30,31,32,33,34,35,36]. Both fungi cause changes in needle color and subsequent loss [29]. Although forests of all developmental phases are affected, 10- to 30-year-old stands are most susceptible [37].
R. pseudotsugae was first described by Weir [38] in North America. The highest spread occurred there in the mid-20th century [37]. The first damaging effect of RNC in Europe was recorded in Scotland back in 1922 [39], although there are reasonable grounds to presume that R. pseudotsugae existed there even before 1914 [40]. In subsequent years, it spread across England, Denmark, and the Netherlands to other states. Its first occurrence in the Czech Republic was recorded in the late 1930s [41]. Its presence has now been confirmed in 14 European countries [42].
R. pseudotsugae has a 1-year development cycle. First signs of attack are pale green flecks, which is changing to orange shade in late autumn and violet-brownish in winter. Fruiting bodies are formed on the underside of needles during April and ripen from May to July. Spores are spread by wind and infect leaf buds upon opening [43], often leading to the complete loss of new leaves in a given year. Infection can further spread to older needles [39,44].
SNC caused by P. gaeumannii was first documented in 1925 on 20-year-old Douglas firs in Switzerland and Germany [45]. In the United States, this disease, found predominantly on Christmas tree plantations, was not considered a severe phytopathological problem until the early 1950s [46]. From 2003, it began spreading into forest stands in western Oregon and Washington [47,48]. P. gaeumannii started to cause problems in New Zealand from the mid-1950s [31] becoming a limiting health factor for stands of various age classes [32].
The occurrence of the fungus has also been confirmed, for example, in Poland [33] and Bulgaria, where together with R. pseudotsugae it endangers the growing provenances [49]. It was not mentioned in the Czech Republic until 2002 [50]. Initial symptoms of SNC attack are very similar to RNC. Black fruit bodies began to break out through the stomata. In the second and third year, additional fruit bodies appeared on the green parts of the needles. After 3 years, the needles are shed [43]. Usually, fruiting bodies are more abundant on needles aged 3 years or older and are absent on younger foliage [27,51], but in the late 20th century, we have observed abundant fruiting bodies on current-year needles [37].
Previous provenance research identified areas in the natural region from where high-quality stands have originated with high production and growth rate in European conditions. But the increasingly visible climatic changes induce stress on the tree stands, and thus the requirement of a new wave of selection in European stands is unavoidable, and a mere production-oriented selection is no longer sufficient. Managers of Douglas fir in Europe require fast-growing and disease-resistant provenances. Although a higher resistance to needle cast has already been confirmed in P. m. var. menziesii [4,52], it exhibits poorer resistance to reduced soil moisture and humidity due to climate changes. Hence, it is crucial to identify factors associated with Douglas fir stands with both higher resistance to biotic and abiotic stresses with reasonable growth. The recorded infection of Douglas fir with pathogens R. pseudotsugae and P. gaeumannii at the International Union of Forest Research Organizations (IUFRO) provenance trial at Hůrky in 2015 (Figure 1, Table 1) was thus used immediately to conduct a targeted study about the tree health status of all verified provenances and to determine the rates of their susceptibility to the two needle casts. Together with an evaluation of production criteria, it is now possible to perform a superior initial selection of provenances suitable for growing under the conditions of expected climate changes in Central Europe.

2. Materials and Methods

During 1966–1970, seeds from 182 autochthonous Douglas fir stands in the US and Canada were collected as part of an international experiment conducted by IUFRO. Samples were divided among 45 institutions from 30 countries [19]. Participating on behalf of the Czech Republic, the Forestry and Game Management Research Institute received seeds of 25 provenances, including five benchmark standards. In 1971, three experimental trials were found within the present-day Czech Republic. Evaluation of the susceptibility to the needle casts within provenances was possible at Hůrky due to active infection of Douglas firs by R. pseudotsugae and P. gaeumannii in the provenance trial as well as nearby forests.
The Hůrky provenance trial is situated on a very gentle slope with a predominantly north-east exposure at 445 m a.s.l. (oak-beech forest altitudinal zone). Local mean annual temperatures reach 7.3–7.5 °C and mean annual precipitation is 550–575 mm. The soil type is oligotrophic brown earth. The absolute height yield class of Douglas fir at standing volume with bark per hectare 467 m3·ha−1 is 36 [1].
Verified provenances (Table 1, Figure 1) originate from British Columbia (11), Washington (10), and Oregon (4). Provenances 1028, 1078, 1081, 1102, and 1104 constitute comparison benchmarks present in most trials of the international experiment [1]. The area of research trial is a regular rectangle of 1 ha divided into 100 parts (25 provenances in four repetitions), 10 × 10 m each. A total of 3700 nursery-raised 3-year-old saplings (2-year-old saplings for benchmarks) were planted in the spring of 1971 at a spacing of 2 × 1.1 m in odd rows and 2 × 2 m in even rows. Since its planting in 1971, the number of individuals in the trial has gradually declined due to the fall in winter transpiration (1973), natural mortality, thinning (1987, 1996, 2006) aimed at releasing high-quality individuals and removing untrained and dry trees. The less number of trees at the planting age is due to the fast growth of Douglas fir, which overtakes all autochtonous trees.
In 2016, heights and breast-height diameters were measured to compare gains from the previous measurement in 2011 [1]. The height was measured at breast height and by a VERTEX III ultra-sound height-meter (accuracy of 0.1 m). Diameter breast height was measured by millimeter caliper in two perpendicular measurements (0.1 cm) respectively. Based on volume equations for Douglas fir [53], the volume of large wood with bark was calculated. Defoliation of all trees in the provenance trial was also assessed by consensus agreement of visual observations by three evaluators.
A Burkard automated spore trap (AMET, Velké Bílovice, Czech Republic) with datalogger Minikin THi for continual measuring temperature and air humidity were installed from 15 April to 31 of August 2015 in a location with strong infection pressure to determine the time and intensity of needle cast sporulation. An Olympus BX41 microscope with an Olympus WH10X/22 objective was used for sample processing. In addition, 10 Douglas fir tree samples were felled nearby the trial in monthly intervals, and branch samples from the upper and lower crown sections were collected from these to confirm the presence of needle cast. The presence of needle cast spores was determined in the laboratory under an Olympus 110AL 1.5X W061 binocular microscope (4× magnification). Determination of ascospores and conidia was carried out according to Butin [43].
Each tree’s social standing within the stand was determined according to Konšel [54] using the grades 1–dominant, 2–co-dominant, 3–intermediary, 4–overtopped (viable), and 5–dying/dead. Defoliation rate was determined as an indicator of health status within five percentage point increments according to the grading system used for SANASILVA inventory [55]: undamaged tree (0%), slightly damaged (1%–25%), damaged (26%–50%), severely damaged (51%–75%), dying (76%–99%), and dead (100%). The occurrence of other fungal pathogens was also evaluated.
A statistical regression model was used to compare the provenances’ health states [56]. In this case, the dependent variable was tree defoliation rate; the explanatory categorical variable was provenance, and the quantitative explanatory variables were trunk volume, diameter difference between measurements in 2011 and 2016, and the number of trees. As the data of the dependent variable did not follow a Gaussian normal distribution, a generalized linear model was applied as an alternative. Approximation using the Poisson distribution was not sufficiently reliable, even though defoliation had a specific and relatively small number of values. Given the positive values for defoliation and a histogram skewed to the right, a gamma distribution was used for approximation (gamma GLM).
Only trees belonging to classes 1, 2, and 3 [54] and forming the canopy level in both evaluations (2011, 2016) were included in the analysis. Cases with diameter difference exceeding 1.5× inter-quartile span (46 individuals) were excluded because the marked increase in diameter was probably caused by gaps that formed in the surrounding canopy (usually due to death or harvesting of nearby trees). The entire 1104 Brookings provenance, as well as the 4th repetitions in provenances 1081 Alder Lake and 1103 Coquille, were removed due to high mortality.
All double interactions between factors were included in the initial model. Simplification was done according to Crawley [57] and Pekár, Brabec [56]. The significance of model factors was determined by analysis of variance using a conservative F-test at the usual levels of significance: α < 0.05, α < 0.01, and α < 0.001. The resulting model (1) was selected by minimizing the Akaike information criterion according to the Occam’s razor principle [57]. For the statistically significant categorical variable (provenance), factor levels were also compared using “treatment” contrasts [56,57], for which the provenance 1102 Upper Soda originating from the southern inland part of the Douglas fir range and with presumed higher resistance to a drier and warmer climate was selected for comparison. An advantage of this provenance also lies in the fact that it is one of IUFRO’s benchmarks, thereby allowing for potential future comparison with other trials of the international provenance experiment. Its average values for production and defoliation were also comparable. Provenances 1028 Merrit and 1104 Brookings were excluded from our analysis based on the previous evaluation, which was one of the worst due to the low number of individuals and high mortality ratio.
For evaluation of factors influence and sorting the provenances according to health status, the decision tree method was implemented. All significant factors from the previous regression analysis were adopted (without interactions), and the decision tree was created using the package called ‘rpart’ according to Burger [58]. The final decision tree was pruned and looked at the tree′s complexity parameter. All analyses were performed in the R 3.3.2 environment [59].

3. Results

The results of evaluating R. pseudotsugae and P. gaeumannii sporulation by Burkard spore trap on the locality Hůrky in 2015 (Table 2) confirmed the most significant occurrence of R. pseudotsugae spores in June (40 pcs). Their presence on adhesive tapes of the spore trap and on collected sample branches was minimal by July (3 pcs). The occurrence of P. gaeumannii based on the numbers of spores captured on adhesive tapes and in samples was much more frequent (spores were registered on all sample collection dates with the exception of April). The highest number of spores (201 pcs) were collected in July. The first finding was recorded in late May, and the strongest infection pressure occurred at the end of June and in early July (i.e., sporulation occurred later than in R. pseudotsugae). Sporulation of P. gaeumannii occurred at lower temperatures in comparison with R. pseudotsugae.
The presence of ascospores and conidia of P. gaeumannii and R. pseudotsugae was reaffirmed in 2016 on ten trees that were cut purposefully at the close neighborhood to the trial. The conidia of R. pseudotsugae were found only in a single May term, the ascospores were confirmed in April, May, and June. The P. gaeumannii conidia were not detected but ascospores were recorded on all samples, mainly in April, May, and July.
Average defoliation of trees on the provenance trial reached 37% (Figure 2). The greatest defoliation was observed in provenances 1028 Merritt (90%), 1010 Barrière (61%), and 1067 Skykomish (53%). In contrast, the best evaluations were seen in provenances 1069 North Bend (23%) and 1089 Cathlamet (24%). A total of 71 trees showed 100% defoliation indicating they all were dead.
In the frame of comparison measurement in the provenance trial in 2016, 704 trees were measured in total. The lowest numbers of individuals were recorded (Table 3) in the provenances 1028 Merritt (15) and 1081 Alder Lake (18), whereas the most were observed at 1067 Skykomish provenance (45).
The average height of Douglas firs during the research trial was 30.1 m (Table 3). The most substantial heights were reached by the provenances 1075 Enumclaw (33.5 m), 1069 North Bend (32.7 m), and 1103 Coquille (32.4 m). The average heights of five other provenances also exceeded 32 m. The lowest average heights were documented in provenances including 1028 Merritt (18.3 m), 1067 Skykomish (25.2 m), and 1078 Cle Elum (25.9 m). The tallest tree (40.4 m) was observed at provenance 1075, while the shortest (16.2 m) one was present at provenance 1067.
The average diameter of all trees in the trial was 30.5 cm (Table 3). The absolutely lowest diameters were recorded at provenances 1078 Cle Elum (11.8 cm) and 1025 Nimkish (13.7 cm), whereas the thickest individuals were documented at provenances 1102 Upper Soda (55.9 cm), 1013 Revelstoke (53.9 cm), 1103 Coquille (53.3 cm), and 1075 Enumclaw (52.6 cm). The highest average values were found at provenances 1075 (37.7 cm) and 1069 North Bend (35.3 cm), while the least was at 1067 (22.4 cm) and 1028 (15.9 cm) provenance.
Standing volume with the bark of all Douglas firs evaluated within the trial was 765.84 m3. Average volume per tree was 1.09 m3. The most massive average volume was achieved by provenance 1075 Enumclaw (1.72 m3), while provenances 1028 Merritt (0.21 m3) and 1067 Skykomish (0.48 m3) had the smallest volumes.
Using a gamma GLM, the factors including tree volume, provenance, and diameter difference between 2011 and 2016, were determined as significant for defoliation rate, and the interaction of volume and provenance (gamma GLM R2 = 0.65; Table 4) was also significant. Crown defoliation was significantly influenced by the volume of the evaluated trees. Defoliation showed a decrease with increasing volume (Figure 3; r = −0.62). The most defoliated trees had volumes around <1 m3. The relationship between defoliation and diameter difference was also inversely proportional (Figure 3; r = −0.65). Trees showing <30% defoliation have the most substantial diameter increase. The differences in defoliation rates among provenances are apparently clear in Figure 2. Undoubtedly, most defoliated provenances were 1010 Barrière, 1021 D′Arcy, and 1067 Skykomish.
The provenance was divided into several groups using the decision tree Figure 4, and the extent of impact on the health status caused by individual factors was assessed. Tree volume was substantially affected by the defoliation rate. Trees with a volume of over 1645 m3 had the lowest defoliation. A second important factor for well-growing trees was thickness difference that implies little influence to the needle casts. So well-growing and thick trees were observed to have low defoliation. If the growth wasn′t so good, the provenance might have a higher influence of needle cast. The provenance with the best growth increase and the lowest defoliation originates from British Columbia—1012 Klina Klini, 1025 Nimkish and Washington—1050 Marblemount, 1061 Louella, 1069 North Bend, and 1089 Cathlamet. On the other hand, provenance with a volume of less than 0.675 m3 showed a higher level of defoliation and higher susceptibility to needle casts. The worst health status was documented for provenance 1010 Barrière and 1021 D′Arcy, which were strongly defoliated in spite of their excellent volume. So we can categorize them as sensitive to needle casts. If the volume of the trees is low, the defoliation is even higher. The more defoliated provenance was 1067 Skykomish, which also belonged to the worst growing provenances.

4. Discussion

The Hůrky international provenance trial has previously been evaluated several times, e.g., [1,60]. However, a more in-depth observation of the health status of the provenances was never the subject of monitoring. In Czech territory, the most substantial losses at the IUFRO provenance trials occurred shortly after planting, during 1972/73 and 1975/76, due to winter transpiration. However, the losses were not so high among most provenances specifically at the Hůrky trial. The coastal provenances from Oregon and Washington were among the most damaged ones whereas those from the inland areas (e.g., from British Columbia) were damaged the least and demonstrated relatively good growth [20].
It is known that the formation and spreading of spores of R. pseudotsugae and P. gaeumannii are substantially influenced by temperature, wind, and air humidity [31,32,33,36,37,51]. Periods of spreading R. pseudotsugae spores at the Hůrky trial started at the end of April with the culmination in May to June, which is consistent with published data [43,61,62]. In the case of P. gaeumannii, the spores occur in May and June [43]. At the Hůrky trial, however, the highest occurrence of this needle cast was recorded only in late June and early July, which corresponds more closely to the findings in Poland [33].
In addition to the substantial influence of needle cast, there are other risks such as physiological drought and low moisture availability that is regarded as the main threat to Douglas fir stands in the coming decades. Growth can also be decreased due to drought damage, which was not apparent at first sight [19]. A partial solution may be to use inland provenances from drier areas of the North-Western US [19] that are less productive but more resistant to drought. However, the disadvantage for their planting in Europe is their greater susceptibility to needle cast, and especially to RNC.
In an evaluation of an international IUFRO trial in the Netherlands, Eilmann et al. [63] concluded that no provenance simultaneously fulfills the criteria of high production and high resistance to drought. They recommended giving preference to northern provenances at less dry locations and southern provenances at drier locations. At the Hůrky trial, the result is comparable, and at least several production provenances with lower infection rate are available to choose from. In comparisons using contrasts, the provenances 1021 and 1030 were significantly different. Provenance 1021 had a volume close to the average for the trial. Such volume would correspond to the mean defoliation rate, but the defoliation rate determined actually varied significantly. A similar trend was demonstrated in provenance 1030, which produced high volume under average defoliation.
While comparing the results from measurements between 2011 [1] and 2016, there was a decrease in the number of trees in the research trial from 721 to 704. In 2016, 633 individuals were critical, and 71 were dying or dead. Kšír et al. [1] did not evaluate defoliation, and therefore it was not possible to compare the changes over the last five years. However, the current health status across the provenances can be considered slightly worse due to the co-influence of needle cast. Years with an extreme moisture deficit and drought stress only occurred recently and had an impact for the first time in the winter of 2015/16. Its impact then continued to the winter of 2016/17, too. The effect of drought on Douglas fir health status was therefore primarily eliminated for the analysis.
There is an apparent proportional relationship between volume and diameter increase between 2011 [1] and 2016 (Figure 4). In 2011, the smallest volume production had been documented in provenances 1028 Merritt, 1067 Skykomish, 1078 Cle Elum, and 1010 Barrière. The new results presented here are analogous. All mentioned provenances did not prove successful in the research trial. In contrast, provenances 1075 Enumclaw, 1069 North Bend, and 1089 Cathlamet, which had proven themselves healthy in the previous evaluation, can be recommended primarily due to their above-average production, favorable diameter growth, and minimal infection by pathogens. There are a number of other provenances in the trial with above-average production (e.g., 1036 Alberni) while showing poorer health status. Moreover, further deterioration of their health status can be expected in the coming years due to their origin in the coastal areas of British Columbia and Washington (i.e., higher susceptibility to drought and autumn frosts).
Crown defoliation was negatively correlated with volume (−0.6) and thickness difference (−0.6). In addition, the vitality (growth potential) of the individual trees can also characterize the resistance of the tree, which is a useful phenomenon in relation to the resistance to against needle casts. Vitality was not directly measured in the current research, but it could be derived from growth rates. Thus, it is clear that the resistance of a tree to needle casts is more relying on the functional health status of it than a specific provenance that it belongs to. Nevertheless, some provenances showed better growth and more resistance to pathogens. These include provenances including 1069, 1075, and 1089, which were found to be appropriate in previous measurements [1]. Alternatively, the highest defoliation, the lowest volume, and the worst vitality were documented in provenances 1010, 1021 and 1067, which were previously not recommended by Kšír et al. [1] for further cultivation. However, in some rare cases, the extent of tolerance of some provenance against needle casts was demonstrated by variable and unexpected (higher and lower) defoliation rate relative to the volume found. For example, provenances like 1004, 1075 and 1100 showed the highest growth and a relatively higher defoliation rate than expected, and their higher susceptibility to needle casts can be assumed.
Many researchers examined the growth status of the different provenances in their published studies [20,31,32,49,60,63,64] but no one is considering the problems related to needle casts. Hence, we can only compare some aspects of our investigated trial with pre-existing studies. Four provenances (1025, 1050, 1069, and 1100) identical to those on the Hůrky research trial are also represented in the range of 18 provenances evaluated in the Netherlands [63]. The results are, however, apparently contradictory due to different natural conditions. The 1025 provenance, somewhat below-average considering growth at the Hůrky trial, was among the most productive one in the Netherlands in spite of its higher sensitivity to drought condition. In contrast, higher sensitivity to dry spells was also shown by provenance 1069 North Bend, which was among the best of the positively verified units at Hůrky.
At research trials in Bulgaria, the needle casts caused by R. pseudotsugae, and P. gaeumannii appear to be the limiting factor for selecting the Douglas fir stands for planting. They were first found in a Douglas fir trial at 17 years of age [64] when they occurred primarily in inland provenances. The results of evaluating the health status in the trial at 24 years of age [49,65,66] indicate that the coastal provenances from Oregon and Washington demonstrate faster growth than inland provenances (almost a third of the trees have died, and 10% had defoliation >60%) in the local conditions. Among the worst-rated provenances were, with no exceptions, from the interior such as Keremeos (Washington), Whitefish (Montana), Bates (Oregon), and Canyon City (East Oregon) that showed symptoms typical of needle cast together with decreased vitality [49]. The best-growing and more resistant to both needle casts [49,67], which is traditionally recommended for importing of Douglas fir reproductive material into Central Europe from above-mentioned source areas are the provenances namely Newhalem and Darrington from the Skagit seed zones in the western part of the Cascades. They are originated from an altitude between 500 and 1,167 m, which is similar to Central European conditions. Similar results were obtained from the coastal provenance Brookings from Oregon Unfortunately, the use of them has been legally banned in Czech forestry at present.
We have additional data from Poland, where SNC was found on 3 out of 11 monitored trials [33]. In highly infested stands, defoliation exceeded above 45% in 90% of the trees. A higher infection pressure was determined in older (35 years) Douglas firs than in younger (17 years) trees. This does not correspond to the oft-stated most normal infection age of 10–30 years [37,43,68]. It is, however, partially confirmed by the results from the Hůrky trial, where high infection pressure in certain provenances was demonstrated in trees with almost 50 years of age. Still, the Polish research did not consider that the needle cast, caused by P. gaeumannii, is the most dangerous risk factor for young Douglas fir plantations [31,37,68]. Similar to the findings in the Hůrky research trial, Łakomy and Iwańczuk [33] have also recorded dying and dead trees. It is clear, however, that not all losses from recent years can be attributed solely to the influence of needle casts, as stress caused by drought and other pathogens contributed significantly to it.
The spread of pathogen P. gaeumannii has also been examined in New Zealand [31,32]. Seven provenances were evaluated at seven locations. Active infection (with fruiting bodies on more than 80% of needles) was determined at four locations. There were almost no observed differences in infection rates among provenances. However, the differences were prominent in infection intensity on the last year’s needles. Kimberley et al. [32] demonstrated indirectly that, in their local conditions, P. gaeumannii is the most significant primary pathogen of Douglas fir. Simultaneously, they confirmed the importance of climatic factors for the spread of needle cast and a positive correlation between temperature and growth reduction. They determined the period of 8–15 years from infection start as the time showing the highest decrease in Douglas fir’s growth gain (i.e., during the time of maximum infection pressure).
It is difficult to determine the underlying causes of the increasing magnitude of damage in recent years, primarily due to P. gaeumannii [32]. One explanation to consider is climate change that leads to weakening and subsequent increase in infection. Hansen et al. [37], who reported the infection in stands spanning of more than 120,000 ha in the coastal area of Oregon, confirmed this. The cause was apparently the origin of provenances from the higher altitudes and stands with lower natural resistance to the pathogen (probably partially from inland). A comparison of the above-mentioned study with the Hůrky trial is impossible because no data on tree defoliation was available. The difference in both pathogenic fungi attack among provenances was not evaluated, and so it is not possible to mention, which one is causing more damage and which provenances are more susceptible.
It is expected that the changing climatic conditions in Central Europe will probably result in an increased average temperature along with fluctuating and lower annual precipitation [69,70]. Hence, certain provenances from the inland areas may have higher potential applicability despite their lower productive capabilities and lower resistance to needle cast [4,36]. While there are no provenances known for the complete resistance to needle cast [4,52], provenance’s with relatively high resistance and production capability are required. From the range at the Hůrky research trial, especially the provenances 1069 North Bend and 1089 Cathlamet can be considered can be considered viable, in this respect. Conversely, provenances 1028 and 1078, which are among the poorest performing for growth and the most defoliated, appear unfavorable. Moreover, the positive evaluation of provenances 1061, 1069, 1075, and 1089 from the previous investigation supports the present claim [1].
Interestingly, earlier findings supported our claims as to the unsuitability of introducing P. m. var. glauca into Central European conditions due to its low production capability and high susceptibility to needle cast [10]. The inland provenances like 1010, 1021 are more susceptible than coastal ones. Whereas the coastal provenances were evaluated positively in most IUFRO research trials, the results from the Czech Republic are somewhat less optimistic. This is due to the adverse effects of the local spring frosts and physiological drought on young Douglas firs [25]. Findings from many parts of Europe [2,19] have aided in the selection of certain preferred geographic areas for importing seeds (mainly western Washington and northwestern Oregon). In addition [49] to selecting a suitable provenance, both needle casts can be partially reduced in stands by removing the most afflicted trees. This improves the microclimatic conditions to favor the remaining, healthy trees.

5. Conclusions

In a provenance trial with Douglas fir, we confirmed the occurrence of pathogens from the genera Rhabdocline and Phaeocryptopus. The highest sporulation intensity was recorded in June for R. pseudotsugae and June /July for P. gaeumannii. The determined defoliation indicates a somewhat poor health status of the Hůrky provenance trial. Defoliation has a significant association with trunk volume in which the most defoliated individuals only rarely reached 1 m3. An inversely proportional relationship between defoliation and diameter gain was also observed. Among the compared provenances, it is essential to highlight the Washington provenances 1061 Louella, 1069 North Bend, 1075 Enumclaw, and 1089 Cathlamet. All of these have maintained satisfactory gains since the previous measurement in 2011 and were almost not affected at all by pathogens. Therefore, these appear most suitable for stands with similar climatic, soil, and topographic conditions. In contrast, the provenances 1010 Barrière, 1021 D’Arcy, and 1067 Skykomish, in addition to IUFRO standard 1078, can be considered unsuitable, demonstrating not only lower growth but also poorer health status. These results correspond well with the evaluation from 2011, with the exception of provenance 1036 Alberni, the current health status of which is considerably poorer and therefore should be placed among provenances that no longer should be planted.
As climate change becomes increasingly problematic in Europe, interest in replacing spruce with Douglas-fir is growing. However, as the area of Douglas-fir forest in Europe grows, the connectivity between stands also increases, along with the risk for pathogen attack. The risk posed by the RNC and SNC to Central European Douglas stands is likely to increases in upcoming years.

Author Contributions

Conceptualization, M.S., R.M., V.P.; Methodology, R.M., V.P., P.N., F.B.; Validation, M.S., V.P., R.M., M.F.; Formal Analyses, R.M.; Investigation, M.S., V.P., R.M., P.N., M.F.; Resources, M.S.; Data Curation, M.S., R.M., V.P.; Writing—Review & Editing, M.S., P.N., V.P., R.M., A.R.; Visualization, M.S., R.M., V.P., M.F., A.R.; Supervision, V.P., P.N., R.M.; Project Administration, V.P., R.M.; Funding Acquisition, V.P., R.M., F.B., P.N.

Funding

The article was created in relation to implementing research projects supported by the Ministry of Agriculture of the Czech Republic No. QJ1520299 and No. MZE-RO0118. The study was also supported by the Internal Grant Agency of Faculty of Forestry and Wood Sciences Czech University of Life Sciences in Prague–project GA FLD CZU B10/17. AR, RM is supported financially by EXTEMIT-K, No. CZ.02.1.01/0.0/0.0/15_003/0000433 financed by OP RDE during the preparation of the manuscript. VP is supported financially by Operational Programme Research, Development, and Education (OP RDE)-project “EVA4.0” (reference number CZ.02.1.01/0.0/0.0/16_019/0000803).

Acknowledgments

Schurman Jonathan Scott is duly acknowledged for his valuable comments on the revised version of the manuscript. We used Grammarly (www.grammarly.com/ premium version) for English language editing.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kšír, J.; Beran, F.; Podrázský, V.; Novotný, P.; Dostál, J.; Kubeček, J. Výsledky hodnocení mezinárodní provenienční plochy s douglaskou tisolistou (Pseudotsuga menziesii /Mirb./Franco) na lokalitě Hůrky v jižních Čechách ve věku 44 let. Zpravy Les. Vyzk. 2015, 60, 104–114. [Google Scholar]
  2. Šindelář, J.; Beran, F. K některým aktuálním problémům pěstování douglasky tisolisté (orientační studie). Lesn. Pruvodce 2004, 3, 1–34. [Google Scholar]
  3. Kubeček, J.; Štefančík, I.; Podrázský, V.; Longauer, R. Výsledky výzkumu douglasky tisolisté (Pseudotsuga menziesii /Mirb./Franco) v České republice a na Slovensku—Přehled. Les. Cas. For. J. 2014, 60, 120–129. [Google Scholar] [CrossRef]
  4. Bastien, J.-C.; Sanchez, L.; Michaud, D. Douglas-Fir (Pseudotsuga menziesii (Mirb.) Franco). In Forest Tree Breeding in Europe, 1st ed.; Pâque, L., Ed.; Springer: Dordrecht, The Netherlands, 2013; pp. 325–369. ISBN 978-94-007-6146-9. [Google Scholar]
  5. Podrázský, V.; Remeš, J. Půdotvorná role významných introdukovaných jehličnanů—Douglasky tisolisté, jedle obrovské a borovice vejmutovky. Zpravy Lesn. Vyzk. 2008, 53, 29–36. [Google Scholar]
  6. Podrázský, V.; Kubeček, J. Může douglaska tisolistá nahradit chřadnoucí smrk? Lesn. Prace 2014, 93, 14–19. [Google Scholar]
  7. Broncano, M.J.; Vila, M.; Boada, M. Evidence of Pseudotsuga menziesii naturalization in montane Mediterranean forests. For. Ecol. Manag. 2005, 211, 257–263. [Google Scholar] [CrossRef]
  8. Bušina, F. Natural regeneration of Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) in forest stands of Training Forest District Hůrky, Higher Forestry School and Secondary Forestry School in Písek. J. For. Sci. 2007, 53, 20–34. [Google Scholar] [CrossRef]
  9. Hart, V.; Hartová, M.; Tauchman, P. Analysis of herbicide effects on Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) natural regeneration. J. For. Sci. 2010, 56, 209–217. [Google Scholar] [CrossRef]
  10. Schmid, M.; Pautasso, M.; Holdenrieder, O. Ecological consequences of Douglas fir (Pseudotsuga menziesii) cultivation in Europe. Eur. J. For. Res. 2014, 133, 13–29. [Google Scholar] [CrossRef]
  11. Eberhard, B.; Hasenauer, H. Modeling Regeneration of Douglas fir forests in Central Europe. Austrian J. For. Sci. 2018, 135, 33–51. [Google Scholar]
  12. Cafourek, J. Dovoz osiva douglasky tisolisté do ČR. Lesn. Prace 2014, 93, 432–434. [Google Scholar]
  13. Martiník, A.; Houšková, K.; Palátová, E.; Cafourek, J.; Mauer, O. Předosevní Příprava a Doba Výsevu Douglasky Tisolisté (Pseudotsuga menziesii /Mirb./Franco), 1st ed.; Mendelova univerzita v Brně: Brno, Czech Republic, 2014; 16p, ISBN 978-80-7509-161-1. [Google Scholar]
  14. Šika, A. Reprodukční materiál douglasky tisolisté v ČSR z domácích zdrojů. Prace VULHM 1985, 67, 41–62. [Google Scholar]
  15. Jarry, M.; Candau, J.N.; Roques, A.; Ycart, B. Impact of emigrating seed chalcid, Megastigmus spermotrophus Wachtl (Hymenoptera: Torymidae), on seed production in a Douglas-fir seed orchard in France and modelling of orchard invasion. Can. Entomol. 1997, 129, 7–19. [Google Scholar] [CrossRef]
  16. Wolf, H. First results related to flushing and response to drought stress of Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) progenies descending from Germany in comparison to provenances descending from North-America. Forstarchiv 2012, 83, 75–84. [Google Scholar]
  17. Farjon, A. A Handbook of the World’s Conifers, 1st ed.; Brill: Leiden, The Netherlands; Boston, MA, USA, 2010; Volume II, pp. 529–1111. ISBN 978-90-04-17718-5. [Google Scholar]
  18. Farjon, A.; Filer, D. An Atlas of the World’s Conifers: An Analysis of Their Distribution, Biogeography, Diversity and Conservation Status, 1st ed.; Brill: Leiden, The Netherlands; Boston, MA, USA, 2013; 512p, ISBN 978-90-04-21180-3. [Google Scholar]
  19. Lavender, D.P.; Hermann, R.K. Douglas-Fir. The Genus Pseudotsuga, 1st ed.; Oregon State University, College of Forestry, Forest Research Laboratory: Corvallis, OR, USA, 2014; 352p, ISBN 978-0-615-97995-3. [Google Scholar]
  20. Šika, A. Present results of the international provenance experiment of IUFRO with Douglas fir in the ČSR. Commun. Inst. For. Czech. 1981, 12, 83–101. [Google Scholar]
  21. Jenkins, M.J.; Hebertson, E.; Page, W.; Jorgensen, C.A. Bark beetles, fuels, fires and implications for forest management in the Intermountain West. For. Ecol. Manag. 2008, 254, 16–34. [Google Scholar] [CrossRef]
  22. Bansal, S.; Harrington, C.A.; St. Clair, J.B. Tolerance to multiple climate stressors: A case study of Douglas-fir drought and cold hardiness. Ecol. Evol. 2016, 6, 2074–2083. [Google Scholar] [CrossRef] [PubMed]
  23. Ritóková, G.; Shaw, D.C.; Filip, G.; Kanaskie, A.; Browning, J.; Norlander, D. Swiss Needle Cast in Western Oregon Douglas-Fir Plantations: 20-Year Monitoring Results. Forests 2016, 7, 155. [Google Scholar] [CrossRef]
  24. Sakai, A.; Weiser, C.J. Freezing resistance of trees in North America with reference to tree regions. Ecology 1973, 54, 118–126. [Google Scholar] [CrossRef]
  25. Malmqvist, C.; Wallertz, K.; Johansson, U. Survival, early growth and impact of damage by late-spring frost and winter desiccation on Douglas-fir seedlings in southern Sweden. New For. 2018, 1–14. Available online: https://link.springer.com/article/10.1007/s11056-018-9635-7 (accessed on 20 January 2019). [CrossRef] [PubMed]
  26. Campbell, R.K.; Sorensen, F.C. Cold-acclimation in seedling Douglas fir related to phenology and provenance. Ecology 1973, 54, 1148–1151. [Google Scholar] [CrossRef]
  27. Boyce, J.S. A needle-cast of Douglas fir associated with Adelopus gäumanni. Phytopathology 1940, 30, 649–659. [Google Scholar]
  28. Hansen, E.M. Forest pathogens of N.W. North America and their potential for damage in Britain. For. Rec. UK For. Comm. 1985, 129, 1–14. [Google Scholar]
  29. Gernandt, D.S.; Camacho, F.H.; Stone, J.K. Meria laricis, an anamorph of Rhabdocline. Mycologia 1997, 89, 735–746. [Google Scholar] [CrossRef]
  30. Holah, C.J.; Wilson, V.M.; Hansen, M.E. Impacts of a native root-rotting pathogen on successional development of old-growth Douglas fir forests. Oecologia 1997, 111, 429–433. [Google Scholar] [CrossRef] [PubMed]
  31. Hood, I.A.; Kimberley, M.O. Douglas fir provenance susceptibility to Swiss needle cast in New Zealand. Australas. Plant Pathol. 2005, 34, 57–62. [Google Scholar] [CrossRef]
  32. Kimberley, M.O.; Hood, I.A.; Knowles, R.L. Impact of Swiss needle-cast on growth of Douglas-fir. Phytopathology 2011, 101, 583–593. [Google Scholar] [CrossRef] [PubMed]
  33. Łakomy, P.; Iwańczuk, M. Phaeocryptopus gaeumannii in Douglas-fir stands in Smolarz forest district. Phytopathologia 2010, 58, 43–52. [Google Scholar]
  34. Ogris, N.; Jurc, D. Tree diseases determined by the reporting, prognostic and diagnostic service for forests in Slovenia 1982–2012. Acta Silvae Ligni 2013, 102, 31–42. [Google Scholar] [CrossRef]
  35. Diminić, D.; Gršković, M.; Mozer, A. Fungual diseases of coniferous trees in plantations in North Adriatic area of Croatia. Glas. Sum. Pokuse 2016, 5, 355–364. [Google Scholar]
  36. Spiecker, H.; Lindner, M.; Schuler, J. (Eds.) Douglas-Fir—An Option for Europe; EFI What Science Can Tell Us 9; European Forest Institute: Joensuu, Finland, 2019; 121p, ISBN 978-952-5980-66-0. [Google Scholar]
  37. Hansen, E.M.; Stone, J.K.; Capitano, B.R.; Rosso, P.; Sutton, W.; Winton, L. Incidence and Impact of Swiss Needle Cast in Forest Plantations of Douglas-fir in Coastal Oregon. Plant Dis. 2000, 84, 773–778. [Google Scholar] [CrossRef]
  38. Weir, J.R. A needle blight of the Douglas fir. J. Agric. Res. 1917, 10, 99–105. [Google Scholar]
  39. Wilson, M.; Wilson, M.J.F. Rhabdocline pseudotsugae Syd.: A new disease of the Douglas fir in Scotland. Trans. R. Scot. Arbor. Soc. 1926, 40, 37–40. [Google Scholar]
  40. Brown, A.B. Observation on leaf fall in the Douglas fir when infected with Rhabdocline pseudotsugae Sydow. Ann. Appl. Biol. 1930, 17, 745–754. [Google Scholar] [CrossRef]
  41. Kalandra, A. První výskyt sypavky duglasky—Působené houbou Rhabdocline pseudotsugae Syd.—V odstoupeném Sudetském území Čech. Ochrana Rostlin 1939, 15, 36–40. [Google Scholar]
  42. Morgenstern, K.; Polster, J.-U.; Krabel, D. Genetic variation between and within two populations of Rhabdocline pseudotsugae in Germany. Can. J. For. Res. 2016, 46, 716–724. [Google Scholar] [CrossRef]
  43. Butin, H. Tree Diseases and Disorders. Causes, Biology and Control in Forest and Amenity Trees, 1st ed.; Oxford University Press: New York, NY, USA; Tokyo, Japan, 1995; 252p, ISBN 0198549326. [Google Scholar]
  44. Van Vloten, H. Rhabdocline Pseudotsugae Sydow: Oorzaak Eener Ziekte van Douglasspar. Ph.D. Thesis, Mededeling/Instituut voor Phytopathologie, Laboratorium voor Mycologie en Aardappelonderzoek, Wageningen, The Netherlands, 1932; 171p. [Google Scholar]
  45. Gäumann, E. Über eine neue Krankheit der Douglasien. Z. Pflanzenkrankh. Pflanzenschutz 1930, 40, 305–313. [Google Scholar]
  46. Michaels, E.; Chastagner, G.A. Distribution, severity, and impact of Swiss needle cast in Douglas-fir Christmas trees in western Washington and Oregon. Plant Dis. 1984, 68, 939–942. [Google Scholar] [CrossRef]
  47. Temel, F.; Johnson, G.R.; Stone, J.K. The relationship between Swiss needle cast symptom severity and level of Phaeocryptopus gaeumannii colonization in coastal Douglas-fir (Pseudotsuga menziesii var. menziesii). For. Pathol. 2004, 34, 383–394. [Google Scholar] [CrossRef]
  48. Stone, J.K.; Capitano, B.R.; Kerrigan, J.L. The histopathology of Phaeocryptopus gaeumannii on Douglas-fir needles. Mycologia 2008, 100, 431–444. [Google Scholar] [CrossRef] [PubMed]
  49. Petkova, K.; Georgieva, M.; Uzunov, M. Investigation of Douglas-fir provenance test in North-Western Bulgaria at the age of 24 years. J. For. Sci. 2014, 60, 288–296. [Google Scholar] [CrossRef]
  50. Pešková, V. Rhabdocline pseudotsugae Sydow. Skotská sypavka douglasky. Lesn. Prace 2003, 82. Available online: http://lmda.silvarium.cz/search/i.jsp?pid=uuid:17f63f3c-1e0e-47a3-90ed-6c99df079585#periodical-periodicalvolume-periodicalitem-supplement-page_uuid:d76be9a1-c570-11e4-8912-001b63bd97ba (accessed on 10 March 2018).
  51. Hood, I.A. Menziesii in southern British Columbia. NZJ For. Sci. 1982, 12, 415–424. [Google Scholar]
  52. Hood, I.A.; Sandberg, C.J.; Barr, C.W.; Holloway, W.A.; Bradbury, P.M. Changes in needle retention associated with the spread an estab-lishment of Phaeocryptopus gaeumannii in planted Douglas-fir. Eur. J. For. Pathol. 1990, 20, 418–429. [Google Scholar] [CrossRef]
  53. Bergel, D. Die Herleitung neuer Massentafeln für die Douglasie in Nordwestdeutschland. Allg. Forst Jagdzeitung 1971, 142, 247–256. [Google Scholar]
  54. Konšel, J. Stručný Nástin Tvorby a Pěstění Lesů v Biologickém Ponětí, 1st ed.; Matice lesnická: Písek, Czechoslovakia, 1931; 552p. [Google Scholar]
  55. Bosshard, W. Sanasilva-Kronenbilder; Couronnes d’arbres; Le chiome degli alberi. In Eidgenijssische Anstalt filr das Forstiiche Versuchswesen; Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft: Birmensdorf, Switzerland, 1986. [Google Scholar]
  56. Pekár, S.; Brabec, M. Moderní Analýza Biologických Dat 1, 1st ed.; Scientia: Praha, Czech Republic, 2009; 225p, ISBN 978-80-86960-44-9. [Google Scholar]
  57. Crawley, M. The R Book, 2nd ed.; John Wiley & Sons: New York, NY, USA, 2013; 1051p, ISBN 978-0-470-97392-9. [Google Scholar]
  58. Burger, S.V. Introduction to Machine Learning with R—Rigorous Mathematical Modelling; O’Reilly: Sebastopol, CA, USA, 2018; 226p, ISBN 978-1491976449. [Google Scholar]
  59. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2016; Available online: https://www.R-project.org/ (accessed on 28 December 2018).
  60. Beran, F. Dosavadní výsledky provenienčního výzkumu douglasky tisolisté v ČR. Zpravy Les. Vyzk. 1995, 40, 7–13. [Google Scholar]
  61. Catal, M.; Adams, G.C.; Fulbright, D.W. Evaluation of Resistance to Rhabdocline Needlecast in Douglas Fir Variety Shuswap, with Quantitative Polymerase Chain Reaction. Phytopathology 2010, 100, 337–344. [Google Scholar] [CrossRef] [PubMed]
  62. Morgenstern, K.; Döring, M.; Krabel, D. Rhabdocline needle cast—Investigations on various Douglas fir tissue types. Eur. J. Plant Pathol. 2013, 137, 495–504. [Google Scholar] [CrossRef]
  63. Eilmann, B.; de Vries, S.M.G.; den Ouden, J.; Mohren, G.M.J.; Sauren, P.; Sass-Klaassen, U. Origin matters! Difference in drought tolerance and productivity of coastal Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) provenances. For. Ecol. Manag. 2013, 302, 133–143. [Google Scholar] [CrossRef]
  64. Georgieva, M. Diseases on Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) and Their Influence on the Species Introduction in Bulgaria. Ph.D. Thesis, Forest Research Institute-BAS, Sofia, Bulgaria, 2009. (In Bulgarian). [Google Scholar]
  65. Petkova, K. Investigation of Douglas-fir provenance test in North-Western Bulgaria at age 20. For. Ideas 2011, 17, 1–42. [Google Scholar]
  66. Popov, E.B. Results of 20 years old Douglas-fir provenance experiment established on the northern slopes of Rila Mountain in Bulgaria. J. For. Sci. 2014, 60, 394–399. [Google Scholar] [CrossRef]
  67. Milenkova, A.; Konnert, M.; Fusi, B.; Petkova, K. Identification of varieties and genetic diversity of Douglas fir stands in the region of Osogovo, Southwest Bulgaria. For. Ideas 2018, 24, 37–50. [Google Scholar]
  68. Maguire, D.A.; Kanaskie, A.; Voelker, W.; Johnson, R.; Johnson, G. Growth of young Douglas-fir plantations across a gradient in Swiss needle cast severity. West. J. Appl. For. 2002, 17, 86–95. [Google Scholar] [CrossRef]
  69. Reyer, C.; Lasch, P.; Mohren, G.M.J.; Sterck, F. Inter-specific competition in mixed forests of Douglas-fir (Pseudotsuga menziesii) and common beech (Fagus sylvatica) under climate change—A model-based analysis. Ann. For. Sci. 2010, 67, 805. [Google Scholar] [CrossRef]
  70. Vitali, V.; Buntgen, U.; Bauhus, J. Seasonality matters—The effects of past and projected seasonal climate change on the growth of native and exotic conifer species in Central Europe. Dendrochronologia 2018, 48, 1–9. [Google Scholar] [CrossRef]
Figure 1. Map of provenances examined at the Hůrky trial in their natural range of occurrence in western North America; source: Google Earth Pro.
Figure 1. Map of provenances examined at the Hůrky trial in their natural range of occurrence in western North America; source: Google Earth Pro.
Forests 10 00204 g001
Figure 2. Box plot for defoliation rates of individual provenances. Whiskers represent 1.5 times the inter-quartile range. The letter above the provenance means coastal (C) or interior (I).
Figure 2. Box plot for defoliation rates of individual provenances. Whiskers represent 1.5 times the inter-quartile range. The letter above the provenance means coastal (C) or interior (I).
Forests 10 00204 g002
Figure 3. Relationship between defoliation and volume (a) resp. diameter difference (b), using non-parametric smoothers in generalized additive model. On the y-axis are the differences from the average defoliation = 37%.
Figure 3. Relationship between defoliation and volume (a) resp. diameter difference (b), using non-parametric smoothers in generalized additive model. On the y-axis are the differences from the average defoliation = 37%.
Forests 10 00204 g003
Figure 4. The decision tree based on the factors that influence the Central European Douglas fir stands health status. At the end of the nodes, the mean defoliation is mentioned. A higher number represents a more damaged tree. Healthier trees are on the left (black part of the decision tree) whereas more damaged trees are on the right side (blue part of the decision tree). Factor importance for splitting the arms decreases with the floor. Values dividing the nodes are stated for each arm. Selected typical provenances are stated with marking of country origin (Canada/USA).
Figure 4. The decision tree based on the factors that influence the Central European Douglas fir stands health status. At the end of the nodes, the mean defoliation is mentioned. A higher number represents a more damaged tree. Healthier trees are on the left (black part of the decision tree) whereas more damaged trees are on the right side (blue part of the decision tree). Factor importance for splitting the arms decreases with the floor. Values dividing the nodes are stated for each arm. Selected typical provenances are stated with marking of country origin (Canada/USA).
Forests 10 00204 g004
Table 1. Characteristics of evaluated provenances at the Hůrky area.
Table 1. Characteristics of evaluated provenances at the Hůrky area.
State (USA), Province (Canada)ProvenanceProvenance AreaElevation (m a.s.l.)North LatitudeWest Longitude
British Columbia1004StuieMaritime23052°22′126°00′
1010BarrièreCariboo Trans61251°12′120°10′
1012Klina KliniMaritime351°07′125°36′
1013RevelstokeNelson60051°00′118°12′
1021D’ArcySubmaritime27550°33′122°30′
1025NimkishMaritime9050°19′126°53′
1028 ×MerrittZone Not Defined87050°04′120°51′
1030SquamishMaritime1549°47′123°09′
1033ForbiddenMaritime61049°40′125°09′
1036AlberniMaritime14049°19′124°51′
1043San JuanMaritime21548°35′124°05′
Washington1049Bacon Point7–Skagit50048°36′121°23′
1050Marblemount7–Skagit12048°35′121°24′
1058Lake Crescent1–Hoh30548°04′124°00′
1061Louella1–Hoh45748°00′123°05′
1067Skykomish5–Kitsap30547°42′121°20′
1069North Bend8–Snoqualmie15047°28′121°45′
1075Enumclaw5–Kitsap24047°16′121°56′
1078 ×Cle Elum8–Snoqualmie64047°13′121°07′
1081 ×Alder Lake9–Toutle43046°48′122°17′
1089Cathlamet3–Twin Harbors20046°18′123°16′
Oregon1100Grand Ronde620045°06′123°36′
1102 ×Upper Soda12100044°23′122°12′
1103Coquille210043°12′124°10′
1104 ×Brookings130042°07′124°12′
× standard International Union of Forest Research Organizations (IUFRO) provenance/IUFRO standards.
Table 2. Timing and intensity (number of spores) of needle cast sporulation obtained from the Burkard automated spore trap on Hůrky trial in 2015.
Table 2. Timing and intensity (number of spores) of needle cast sporulation obtained from the Burkard automated spore trap on Hůrky trial in 2015.
AprilMayJuneJulyAugustTotal
Rhabdocline pseudotsugae014414059
Phaeocryptopus gaeumannii01382010240
Table 3. Mean quantitative characteristics determined.
Table 3. Mean quantitative characteristics determined.
State (USA), Province (Canada)ProvenanceCoastal (C)/Interior (I)Number of treesHeight (m)Breast-height diameter (cm)Standing Volume of One Tree with Bark (m3)Defoliation (%)Number of Trees with 100% Defoliation
British Columbia1004StuieC273231.91.16342
1010BarrièreI322625.10.646110
1012Klina KliniC2731.331.41.12311
1013RevelstokeI4031.432.61.22281
1021D’ArcyI2428.729.80.95483
1025NimkishC3030.629.20.99322
1028 ×MerrittI1518.315.90.219014
1030SquamishC3632.230.51.2363
1033ForbiddenC3830.529.51.01365
1036AlberniC2732.3341.36341
1043San JuanC3229.929.61.02383
Washington1049Bacon PointC3130.630.91.1331
1050MarblemountC3132.232.11.18301
1058Lake CrescentC3132.132.71.26280
1061LouellaC2130.633.51.35373
1067SkykomishC4525.222.40.48537
1069North BendC2932.735.31.42230
1075EnumclawC3033.537.71.72271
1078 ×Cle ElumI2825.925.70.70465
1081 ×Alder LakeC1831.532.81.29310
1089CathlametC3131.933.51.27240
Oregon1100Grand RondeC2630.833.01.21343
1102 ×Upper SodaC3128.830.41.07394
1103CoquilleC1932.431.81.22371
1104 ×BrookingsC529.531.51.01260
∑/Average 70430.130.51.093771
× standard IUFRO provenance/IUFRO standards.
Table 4. Resulting simplified gamma model of defoliation.
Table 4. Resulting simplified gamma model of defoliation.
DfDevianceResidual DfResid. DevianceFPr (>F)
NULL55886.412
volume142.62755743.785728.4872.20 × 10−16***
provenance224.90853538.8783.81222.23 × 10−8***
diameter difference13.93353434.94567.20961.98 × 10−15***
volume:provenance222.90351232.0422.25520.001***
volume: diameter difference11.33751130.70522.84952.29 × 10−6***
Df—degrees of freedom; ***—statistically highly significant (P ≤ 0.001).

Share and Cite

MDPI and ACS Style

Samek, M.; Novotný, P.; Modlinger, R.; Fulín, M.; Beran, F.; Roy, A.; Pešková, V. Impact of Rhabdocline pseudotsugae and Phaeocryptopus gaeumannii on the Selection of Suitable Provenances of Douglas Fir in Central Europe. Forests 2019, 10, 204. https://doi.org/10.3390/f10030204

AMA Style

Samek M, Novotný P, Modlinger R, Fulín M, Beran F, Roy A, Pešková V. Impact of Rhabdocline pseudotsugae and Phaeocryptopus gaeumannii on the Selection of Suitable Provenances of Douglas Fir in Central Europe. Forests. 2019; 10(3):204. https://doi.org/10.3390/f10030204

Chicago/Turabian Style

Samek, Michal, Petr Novotný, Roman Modlinger, Martin Fulín, František Beran, Amit Roy, and Vítězslava Pešková. 2019. "Impact of Rhabdocline pseudotsugae and Phaeocryptopus gaeumannii on the Selection of Suitable Provenances of Douglas Fir in Central Europe" Forests 10, no. 3: 204. https://doi.org/10.3390/f10030204

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop