| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Department of Forest Science, Forestry Sciences Laboratory, Oregon State University, Corvallis, Oregon 97331
| ABSTRACT |
|---|
|
|
|---|
Knowledge of the habitat and host associations of Craterellus tubaeformis (winter chanterelle) is the key to understanding the ecological characteristics needed for its conservation. In this study, a survey of forest types in northwestern Oregon for mycorrhizal associates is performed and the hypotheses that stand age and the volume of well-decayed, coarse, woody debris (CWD) are significant to the standing crop biomass and the probability of C. tubaeformis occurrence are tested. Host associations were identified with polymerase chain reaction (PCR) amplification and restriction fragment-length polymorphism (RFLP) typing. Habitat associations were tested by measurements on 64 plots in the Coast and Cascade Ranges of northwestern Oregon. Data analysis found that stand age and well-decayed, coarse, woody debris were related significantly to the probability of C. tubaeformis occurrence but not to standing crop biomass. Results indicated the volume of well-decayed CWD is particularly important to the probability of C. tubaeformis occurrence in stands less than 100 yr of age. Well-decayed CWD was the substratum for 88% of C. tubaeformis sporocarps across all stands, despite the fact that ground area coverage of CWD ranged only from 3 to 26%. Slope, elevation and aspect were not related to the probability of C. tubaeformis occurrence or standing crop biomass. The occurrence of C. tubaeformis in northwestern Oregon is highly correlated to the presence of western hemlock (Tsuga heterophylla), and their mycorrhizal association was confirmed. Craterellus tubaeformis also can form mycorrhizae with Douglasfir (Pseudotsuga menziesii) and Sitka spruce (Picea sitchensis) but is encountered only rarely in stands without a hemlock component. In northwestern Oregon, the presence of Hydnum spp. in a stand is a good indicator of the presence of C. tubaeformis. Differences in genetic sequences between C. tubaeformis populations in western North America, eastern North America and Europe suggest the likelihood of several distinct species.
Key words: Cantharellus, hemlock, infundibuliformis, neotubaeformis, Tsuga, winter chanterelle
| INTRODUCTION |
|---|
|
|
|---|
Host associations.
Craterellus tubaeformis is known to be mycorrhizal (Kårén et al 1997
, Jonsson et al 2000
, M. Trappe et al 2000
) but its host associations have not been thoroughly explored by molecular analysis. Suppositions about C. tubaeformis associates have been based on stand composition and in Europe have included European beech (Fagus sylvatica; Peyronel 1922
, Kalmár 1950
, Becker 1956
, Gorova 1980
, Tyler 1985
, Hansen and Knudsen 1997
, Persson 1997
, Jonsson et al 2000
), Norway spruce (Picea abies; Romell 1938
, Becker 1956
, Kraft 1978
, Gorova 1980
, Wästerlund and Ingelög 1981
, Hansen and Knudsen 1997
, Kårén et al 1997
, Bandrud and Timmermann 1998
, Högberg et al 1999
, Jonsson et al 2000
), Scotch pine (Pinus sylvestris; Kreisel 1957
, Wästerlund and Ingelög 1981
, Agerer 1985
, Högberg et al 1999
), Sitka spruce (Alexander and Watling 1987
), and white fir (Abies alba) and oaks (Quercus spp; Becker 1956
). In West Virginia C. tubaeformis has been reported in stands of monoculture red spruce (Picea rubens; Bills et al 1986
) and in Mississippi with pines (Pinus spp; T. Feibelman pers comm). In the Pacific Northwestern United States and western Canada, western hemlock and mountain hemlock (Tsuga mertensiana) have been suspected mycorrhizal symbionts (Kropp 1981
, Kropp and J. Trappe 1982
). J. Trappe (1962)
and Molina et al (1992)
speculated that C. tubaeformis might have a broad host range.
Considering that C. tubaeformis often is encountered and is well known, surprisingly little has been published on its ecology, trophic status or habitat requirements. The objectives of the research were to identify C. tubaeformis mycorrhizal associates in northwestern Oregon, quantify its substratum preferences and determine whether stand age and the volume of class 4 and 5 CWD influence the occurrence and standing crop biomass productivity of C. tubaeformis. The hypotheses tested were that stand age and the volume of well-decayed, coarse, woody debris were significant to the standing crop biomass of C. tubaeformis and to the probability of its occurrence.
| MATERIALS AND METHODS |
|---|
|
|
|---|
DNA was extracted as described by Gardes and Bruns (1993)
, except that the source material was not lyophilized. The PCR process and ingredients generally followed the protocols established by White et al (1990)
and Gardes and Bruns (1993
and 1996
). The ITS1F and ITS4 primers were used for PCR amplification of the ITS region of the C. tubaeformis nuclear rDNA. This region of the DNA is variable enough for useful application in species-level identifications among many fungi (White et al 1990
, Erland et al 1994
, Cullings and Vogler 1998
). The PCR thermal cycling program parameters were an initial denaturation at 94 C for 30 s, then these temperature steps cycled 35 times: 93 C denaturing for 35 s, 55 C annealing for 53 s and 72 C extension for 30 s. Success of the PCR was checked by drawing 5 µL samples of the amplified product through a 2.5% DNA grade agarose gel in an electrophoresis bath (Sambrook et al 1989
, Gardes and Bruns 1996
).
The RFLP process followed the methods of Gardes and Bruns (1996)
. The enzymes used were HinF, Alu1, DpnII and HaeIII (New England Biolabs), described in McClelland et al (1994)
. After incubation at 37 C for 3 h the samples were drawn through a 1%/2% RFLP-grade agarose gel in an electrophoresis bath (Sambrook et al 1989
, Gardes and Bruns 1996
). The restriction fragment patterns were compared with those generated from C. tubaeformis basidiomata to determine whether the fungal component of the mycorrhizae was C. tubaeformis.
If the mycorrhizal symbiont on a root tip was identified as C. tubaeformis, the DNA extract from that root tip would again be subjected to the same RFLP process, except that PCR primers 28C and 28KJ (Cullings 1992
) were used. These primers amplify a part of the 28S LSU rDNA gene useful in the identification of most Pacific Northwest conifers, allowing positive identification of the host-tree species.
Habitat associations.
The habitat association study was designed for multiple linear and logistic regression analysis, with stand age (years) and class 4 and 5 CWD volume (m3 m2) as explanatory variables. Thirty-two stands in the Oregon Coast Ranges and 32 in the northwestern Oregon Cascade Range (44°01'45°04'N, 122°05'123°46'W) were selected for survey plots (TABLE I
). Sites were selected to represent a range of combinations of both stand age and CWD in an effort to disentangle the two variables and minimize correlation between them. Thus, site selection balanced the stand characteristics of early- and lateseral stages with above- and below-mean volumes of class 4 and 5 CWD.
|
![]()
where d is the diameter (m) of each piece of CWD intersected by the transect and L is the transect length (200 m). The volume of each decay class of CWD was recorded for each strip plot. For analysis, decay classes 13 were grouped together as were decay classes 4 and 5.
Seral stage (early or late) was used to categorize stands in the study-site selection process and was determined by stand structure and the age of the predominant cohort. Stand age (of the dominant cohort) necessarily was used as the nominal variable in data analysis. Stand ages were 30650 yr and were determined either by documented stand histories or by increment boring. If the bole radius of a sampled tree was greater than the 45 cm length of the increment borer, the age was extrapolated from the rings at the pith end of the core. The oldest "early-seral" stand was a 97 yr old stand predominated by even-age western hemlock. The youngest "lateseral" stand had a 128 yr old predominant cohort of Douglas-fir and western hemlock, with occasional larger trees and a mixed species midstory.
One strip plot 70 m long and 10 m wide was established in each selected stand to create a uniform area for linear regression analysis of productivity data. Strip plots were placed by means of a constrained randomized bearing that avoided influential factors such as streams, roads, cliffs or deep wind-throw. Each strip plot was surveyed for the presence of C. tubaeformis every 34 wk from Sep 1999 to Apr 2000 and once during FebMar 2001. The occurrence and standing crop biomass of C. tubaeformis were recorded at each visit, along with substratum data for all collections.
The mean level of class 4 and 5 CWD differed between the Coast and Cascade ranges: In the Coast Range it was 0.034 m3 m2, and in the Cascade range it was 0.060 m3 m2. In the Coast Range 16 stands were below the mean and 16 stands above, and in the Cascade Range 14 stands were below the mean and 18 stands above. In each of the two ranges 16 stands were late-seral and 16 were early-seral. The mean age of late-seral stands was 358 yr (128650), and of early-seral stands 46 yr (3097). This mix of stands with varying combinations of seral stages and volumes of class 4 and 5 CWD was designed to enable separation of their explanatory effects. Although data on the volume of class 13 CWD, elevation, slope and aspect were collected at each site, balanced replication of these variables was not a goal in site selection. All sites were located below 1000 m elevation to facilitate winter accessibility.
All C. tubaeformis basidiomata within strip-plot boundaries were collected at each survey iteration. Surveying consisted of looking at every square meter in a strip plot for C. tubaeformis. Craterellus tubaeformis normally occurs in colonies, a colony being defined as a group of basidiomata sharing the same immediate substratum. Each colony on a plot was treated as a separate collection. When a C. tubaeformis colony was observed, its substratum was recorded (CWD by decay class, needle litter, mineral soil, etc.), along with distance from, and decay class of the nearest CWD. Collections were mapped, dried, weighed, vouchered and accessioned in the Oregon State University herbarium (OSC). Fresh weights of 74 voucher colonies that were collected on days without precipitation and could be weighed within 3 h were recorded to determine mean water content.
The standing crop productivity of C. tubaeformis was measured in mean grams of biomass, calculated by dividing the total dry biomass of C. tubaeformis collected within each strip plot by the number of times that each plot was surveyed (usually six times, minimum four times, 398 total site visits). Some stands were inaccessible because of snow in Jan and Feb 2000; these sampling dates for all plots were removed from analysis. Stepwise multiple linear regression was used to test significance of stand age, volume of class 4 and 5 CWD, volume of class 13 CWD, elevation and slope on C. tubaeformis standing crop biomass productivity. Pearsons correlation analysis was used to test for relationships between explanatory variables. All explanatory variables were transformed logarithmically to normalize residuals. ANOVA was used to analyze the (categorical) aspect data (north, south, east and west facing).
During this study, only one C. tubaeformis basidiocarp was recorded among the seven stands lacking western hemlock. To test the significance of this observation, 18 additional stands without western hemlock (Douglas-fir monoculture) were surveyed for the presence of C. tubaeformis; it was found in only one of them. The likelihood of C. tubaeformis occurrence in a stand with western hemlock was significantly higher than in one without western hemlock (Fishers Exact Test, P = 0.012, n = 82). All seven stands in the original design lacking western hemlock accordingly were excluded from data analysis. All of the excluded stands were in the Coast Ranges and had below-mean levels of class 4 and 5 CWD; four were late-seral stands and three were early seral.
Nineteen of the plots produced no C. tubaeformis and were excluded from the productivity analysis because their presence in the model violated the assumption of constant variance and consequently had disproportionate influence on regressions. The information provided by these nonproducing plots was captured by logistic regression analysis, described below. Relationships between mean standing crop biomass, stand age and volume of class 4 and 5 coarse, woody debris (including nonproducing plots) are depicted in FIG. 1
. All data analyses were performed using SAS version 6.12 (SAS Institute 1996).
|
![]() |
The probability is a value between zero and one, which can be interpreted as the percent chance of C. tubaeformis occurrence in a stand given its age and volume of class 4 and 5 CWD. Again, logarithmic transformation was required on all explanatory variables to normalize residuals.
Hydnum spp. seemed to be an effective indicator for C. tubaeformis. In addition to the 57 stands used for biomass data collection, data were collected at another 65 stands of similar composition. Thirty five of these had C. tubaeformis and western hemlock; 30 (by coincidence) had no C. tubaeformis and no western hemlock. Maximum-likelihood analysis was used to check relationships between the occurrence of C. tubaeformis and Hydnum spp. in the 122 stands over three fruiting seasons (OctApr 19992001). Only one datapoint was permitted for any given site, even if C. tubaeformis and Hydnum spp. repeatedly were observed together.
| RESULTS |
|---|
|
|
|---|
2, P = 0.017). Association of C. tubaeformis with Douglas-fir when western hemlock is available has yet to be demonstrated.
On the Oregon coast Sitka spruce usually is interspersed with western hemlock, but some pure Sitka spruce stands occur in exposed coastal locations (Franklin and Dyrness 1973
, Roche and Haddock 1987
). Nineteen Sitka spruce stands located between Florence and Lincoln City on the Oregon coast were surveyed for the presence of C. tubaeformis during Jan and Feb 2001. Seven of these had no western hemlock component and lacked C. tubaeformis. The other 12 stands were mixed western hemlock/Sitka spruce, and C. tubaeformis was documented in eight of them. C. tubaeformis mycorrhizae were confirmed by RFLP on several Sitka spruce roots at one site, an approximately 50 m diam pocket of pure spruce in an otherwise mixed spruce/hemlock stand at Carter Lake, south of Florence on the Oregon coast.
Productivity of C. tubaeformis. The strip plots were 87% effective at representing the presence of C. tubaeformis (in only 12 of 92 site visits where C. tubaeformis was located somewhere in the stand was it not represented on the strip plot). Among the 38 stands that produced C. tubaeformis, the average mean biomass was 2.29 g (0.0311.23 g) per 700 m2 plot. The best fit stepwise multiple regression model (adjusted R2 = 0.213) included the volume of less decayed (class 13) CWD (P = 0.052), elevation (P = 0.0194, an inverse relationship), and the volume of well decayed (class 4 and 5) CWD (P = 0.109). When the volume of less decayed CWD was regressed individually against the standing crop biomass of C. tubaeformis it remained marginally significant (P = 0.065) but the adjusted R2 was only 0.07, indicating that this characteristic does not explain much of the observed effect.
The volume of class 4 and 5 CWD on a plot was only marginally suggestive of a relationship to C. tubaeformis standing crop biomass productivity (P = 0.109). Eleven of the 12 stands with the highest levels of class 4 and 5 CWD had C. tubaeformis populations, but five of those 11 stands had standing crop biomass levels below the mean. Five of the 12 stands with the lowest levels of class 4 and 5 CWD produced C. tubaeformis, but only one of them was above the mean biomass.
Stand age was not significantly correlated to C. tubaeformis standing crop productivity (Pearsons correlation analysis, P = 0.292). Eighteen of the 20 oldest stands produced C. tubaeformis, but biomass for 12 of those was below the mean. Four of the eight highest-producing stands were less than 100 yr old, and two of the most productive stands were respectively 30 and 48 yr old (mean biomass 7.16 and 7.75 g).
Slope was not significantly correlated to C. tubaeformis productivity (Pearsons correlation analysis, P = 0.585), but it was closely correlated with stand age (Pearsons correlation analysis, P = 0.004). The mean slope across all stands with western hemlock was 21%. Ten of the 17 stands with slopes less than the mean were under 100 yr old, and 15 of the 21 stands with slope greater than the mean were more than 200 yr old, suggesting that in the stands under study, the older trees occur on steeper slopes.
No single aspect had C. tubaeformis productivity significantly different from the mean. In all cases sample sizes were small for effective statistical analysis. Twelve stands were south-facing and had a mean biomass productivity of 1.45 g. Fourteen stands had north-facing aspects and mean biomass productivity of 2.61 g. Eight stands faced west with a mean biomass of 2.78 g, and four stands faced east with a mean biomass of 1.86 g.
Probability of C. tubaeformis occurrence
The best logistic regression model (adjusted R2 = 0.44; Nagelkerke 1991
) contained only the explanatory terms of stand age and volume of class 4 and 5 CWD. TABLE II
shows the estimates for the intercept term and explanatory variables with their associated 95% confidence limits and P values. Elevation and the amount of class 1 to 3 CWD were not significant to the occurrence of C. tubaeformis. Slope initially seemed significant (P = 0.0445) but again was highly correlated with stand age (P = 0.021). Though late-seral stands with above-mean class 4 and 5 CWD levels generally had slightly more class 4 and 5 CWD than the early-seral stands with above-mean class 4 and 5 CWD levels, correlation between stand age and class 4 and 5 CWD volume was not significant even after stands without western hemlock were removed (Pearsons correlation analysis, P = 0.133). The interaction term of stand age and class 4 and 5 CWD volume also was not significant (P = 0.549). The resulting model for the effect of stand age and volume of class 4 and 5 CWD on the odds of the presence of C. tubaeformis in stands with western hemlock is
|
![]() |
FIGURE 2
graphs the probability (calculated from the odds) of C. tubaeformis occurrence with stand ages of 30 and 650 yr and 95% confidence limits. against the range of class 4 and 5 CWD volumes encountered in the field. The model is extrapolative, and the high P value and wide confidence limits at the intercept suggest diminished certainty in stands with very little class 4 and 5 CWD. This reflects the distribution of stand ages and class 4 and 5 CWD volumes measured in the field; the model consequently is most confident in those stand age and class 4 and 5 CWD volume combinations likely to be encountered (e.g., the confidence limits are widest in older stands with less class 4 and 5 CWD volume and in younger stands with more class 4 and 5 CWD volume). For example, the model predicts a 55.5% chance of locating C. tubaeformis in a 650 yr old stand with 0.005 m3 m2 of class 4 and 5 CWD; however no late-seral stands had such low volumes of class 4 and 5 CWD and C. tubaeformis was never located in a stand with less than 0.009 m3 m2 of class 4 and 5 CWD.
|
FIGURE 3
shows the probability of C. tubaeformis occurrence with the highest and lowest levels of class 4 and 5 CWD encountered in this work (0.005 and 0.348 m3 m2), along a gradient of stand ages. Again the model extrapolates, and it is noteworthy that in this study the late-seral stand with the least amount of class 4 and 5 CWD was 374 yr old and had 0.016 m3 m2 of class 4 and 5 CWD. The early-seral stand with the greatest amount of class 4 and 5 CWD conversely was 48 yr old and had 0.141 m3 m2 of class 4 and 5 CWD. Thus, some of the combinations of variables depicted in the graph are unlikely to be encountered in the field.
|
Stumps were not uncommon as C. tubaeformis substratum (4.4% of documented C. tubaeformis biomass). Stumps were categorized differently from other types of CWD substratum because the sapwood and heartwood were often decay class 4 or 5 while the bark would remain at decay class 3. Craterellus tubaeformis fruited from the soft wood at the top of stumps as well as from the outside of the class 3 bark, sometimes more than a meter above ground.
Mossy areas and needle-covered ground with no detectable subterranean class 4 and 5 CWD were less common as substrata (3.25% and 3.0% of total biomass, respectively). Most basidiomata on these substrata were collected in older stands with lower levels of class 4 and 5 CWD. Another substratum occasionally encountered (0.35% of biomass) was the bark of living trees. This substratum was observed twice, in both cases at the base of old-growth Douglas-fir trees (less than 20 cm above ground) in mesic stands. On these trees, the bark underneath the basidiomata was permeated with active fine roots.
Hydnum species as an indicator. The presence of Hydnum spp. proved to be a positive indicator for the presence of C. tubaeformis in stands with western hemlock during the fruiting season. The likelihood of finding C. tubaeformis in the presence of Hydnum spp. was 90% (P = 0.0001) and in the absence of Hydnum spp. 42% (P = 0.269). The probability of finding Hydnum spp. in the presence of C. tubaeformis was 74% (P = 0.0001) and in the absence of C. tubaeformis 70% (P = 0.0005). Mycorrhizae from Hydnum spp. were identified positively by RFLP in this study and often were found in the same root samples as C. tubaeformis mycorrhizae.
| DISCUSSION |
|---|
|
|
|---|
The marginal significance of the volume of class 13 CWD to C. tubaeformis standing crop productivity (P = 0.52) seems contrary to the findings of the logistic regression. It is likely an artifact of the removal of stands that produced no C. tubaeformis biomass from linear regression analysis, and the weakness of the connection is indicated by its low adjusted R2 value (0.07). Less than 1% of C. tubaeformis field collections were associated with class 13 CWD. Another interesting observation is that the volume of class 13 CWD was not significantly correlated with the volume of class 4 and 5 CWD (Pearsons correlation analysis, P = 0.513). One might expect such a relationship because the input of fresh, woody debris represents the next cohort of decayed woody debris. A possible explanation is that CWD persists in decay classes 4 and 5 much longer than in classes 13 (Maser et al 1989
). This could result in the levels of class 1 through 3 CWD being more variable at any given sampling iteration because of seasonal effects and recent weather events.
The inverse relationship between elevation and C. tubaeformis productivity was unexpected but is unsurprising. Although the C. tubaeformis fruiting season begins earlier at higher elevations, the lower elevations are less subject to frost and hence tended to have higher basidiomata productivity over the course of a season.
Given the significance of stand age and class 4 and 5 CWD volume for the probability of C. tubaeformis occurrence, it might seem somewhat counterintuitive that these factors are not significant to standing crop biomass productivity. In several cases, only one small area in a young stand might produce C. tubaeformis but in tremendous quantities. For example, the class 5 CWD slough surrounding one large stump might produce hundreds of basidiomata in a stand with little other class 4 and 5 CWD. This scenario often was encountered in younger stands; older stands usually had a greater diversity of class 4 and 5 CWD forms. Fully one-third of the stands did not produce any C. tubaeformis basidiomata, and removing them from the linear regression certainly affected the significance of the results, but the influence of these non-productive stands was more appropriately evaluated with logistic regression.
The presence of western hemlock and the volume of class 4 and 5 CWD clearly were demonstrated to be important factors in the probability of C. tubaeformis occurrence. Western hemlock commonly uses larger pieces of class 4 and 5 CWD as seedbed (Minore 1972
), and its roots and mycorrhizae permeate the CWD (Kropp and Trappe 1982
, Maser and Trappe 1984
). Does the close association of C. tubaeformis with class 4 and 5 CWD in the Pacific Northwest result from its frequent association with western hemlock? The roots of western hemlock also permeate mineral and organic soil away from CWD, yet C. tubaeformis is not nearly as prevalent in those areas in northwestern Oregon. Likewise, stands with abundant class 4 and 5 CWD but no hemlock are unlikely to have C. tubaeformis. This suggests that an interaction between the presence of western hemlock and the volume of class 4 and 5 CWD affects the probability of C. tubaeformis occurrence.
Some mycorrhizal fungi produce lignase, cellulase or peroxidase enzymes (Trojanowski et al 1984
, Griffiths and Caldwell 1992
, Durall et al 1994
, Bending and Read 1995
, 1997
). The saprobic capability of C. tubaeformis is unknown, but it seems a likely adaptation to its ecological niche in northwestern Oregon. Kropp and Trappe (1982)
hypothesized that, because western hemlock usually regenerates on class 4 and 5 CWD in the understory, western hemlock mycorrhizal associates would have to compete with the extant fungal community. The ability to extract energy from CWD could provide a competitive advantage for C. tubaeformis in such adverse circumstances. The C : N ratio in Douglas-fir and western hemlock CWD is 200:1500:1 (Graham and Cromack 1982
, Sollins et al 1987
), and most plants can access nitrogen only when the C : N ratio falls below about 25:1 (Russell 1988
, Maser et al 1989
). Fungi that have saprobic capabilities can extract nitrogen from substrata with C : N ratios as high as 1800:1 (Maser et al 1989
). This could explain some of the ability of both C. tubaeformis and western hemlock to gain a foothold in the competitive understory of established forests. More research is needed on the saprobic capabilities of C. tubaeformis.
Coarse, woody debris provides a stable source of moisture throughout seasonal variations, thereby helping to support mycorrhizae during dry periods (Amaranthus et al 1989
, Maser et al 1989
, Amaranthus et al 1994
). Boddy (1983)
showed that water can comprise more than half of the mass of class 4 and 5 CWD. Most mushrooms have high water content; Pilz et al (1998)
reported that the mean moisture content of Cantharellus formosus (Pacific golden chanterelle) was 89% (57%98%, n = 80 basidiomata) but indicated that the specimens with high water content likely were "past their prime" or collected on rainy days and might have been influenced by hydroscopy (D. Pilz pers comm). The mean water content of C. tubaeformis is slightly higher at 93.4% but much less variable (90.0%94.1%, n = 74 colonies), though in this study only fresh specimens collected on days without precipitation were analyzed for water content. Coarse, woody debris would offer the reservoir of water necessary for substantial C. tubaeformis basidiomata production (a typical C. tubaeformis colony of approximately 3 g dry weight would contain more than 45 g of water); however, substantial precipitation characterizes the C. tubaeformis fruiting season and soils often are saturated. The water content of class 4 and 5 CWD during the drier parts of the year may facilitate the acquisition and storage of nutrients needed for basidiome formation, but it is unclear how this would affect C. tubaeformis differently from any other fungal species.
In Europe the habitat association of C. tubaeformis with class 4 and 5 CWD is not nearly as prominent (Persson 1997
; G. Gulden and E. Danell pers comm). There it associates with both deciduous and coniferous trees, and generally less CWD is available. Tyler (1985)
and Persson (1997)
note that C. tubaeformis in Swedish beech forests is found in areas with more acidic soils. Alexander and Watling (1987)
report that their collections in Sitka spruce plantations in Scotland were "mostly on mineral soil." In the Appalachian Mountains of the southeastern United States C. tubaeformis is found in moss and leaf litter along streams (R. Petersen pers comm). Peck (1887)
recognized a Cantharellus infundibuliformis var. sub-cinereus and noted it "occurs especially among Sphagnum in marshes" in New York. More research is needed to quantify the habitat preferences of C. tubaeformis in different settings and to determine whether these differences are congruent with genetic patterns.
Host associations Craterellus tubaeformis occurs only infrequently in Douglas-fir stands lacking western hemlock in northwestern Oregon. It can form mycorrhizae with Douglas-fir but might do so only in the absence of western hemlock. Most pure Douglas-fir stands in western Oregon are plantations that replaced native mixed Douglas-fir/western hemlock, and these Douglas-fir may be colonized by relict C. tubaeformis mycorrhizae from the previous stand. In contrast, C. tubaeformis forms mycorrhizae with Sitka spruce but this has been observed only when western hemlock is present; during a concerted search C. tubaeformis was not observed in pure Sitka spruce stands. Pure Sitka spruce stands are usually natural in origin and may never have had a western hemlock component. It is possible that in the Sitka spruce/ western hemlock stands the hemlock provides a launching point for colonization of spruce by C. tubaeformis. The sample size of pure Sitka spruce stands is small, however, and more research on C. tubaeformis in the spruce forests of the Pacific Northwest coast is needed.
The apparent differences in host association might be a result of C. tubaeformis being a broad-spectrum mycorrhizal fungus that responds to regional differences in available hosts; on the other hand regional variants of C. tubaeformis might have evolved to fill specific niches (congruent with Harley and Smiths [1983]
concept of "ecological specificity"). Bills et al (1986)
report C. tubaeformis with monoculture red spruce in eastern North America but not in mixed hardwood stands (Acer, Betula, Fagus, Fraxinus, Ilex, Prunus, Quercus and Sorbus spp), suggesting host specificity or at least preference. However, many of these hardwood genera are the same ones reported as mycorrhizal associates of C. tubaeformis in Europe; clearly more data are needed. Alexander and Watling (1987)
reported C. tubaeformis in monoculture Sitka spruce plantations in Scotland. They speculated that, because Sitka spruce was introduced to these stands by seed rather than by transplants, the mycorrhizal flora (including C. tubaeformis) might have migrated from native relict Betula or Pinus stands. This would tend to suggest broader host compatibility. Kårén et al (1997)
identified C. tubaeformis mycorrhizae in Sweden but their study was conducted in Pinus sylvestris and Picea abies stands, species not naturally found in western Oregon.
The likelihood of finding C. tubaeformis is more than twice as great when Hydnum spp. is present (90% versus 42%) in stands with western hemlock. The presence of C. tubaeformis is not as effective an indicator for Hydnum spp. (74% with C. tubaeformis versus 70% without). Their fruiting seasons are concurrent, but field observations suggest that Hydnum spp. are more common in pure Douglas-fir and Sitka spruce stands than C. tubaeformis, and thus may have more potential habitat in northwestern Oregon. Because C. tubaeformis seems to have a more limited range of habitats, one would expect the indicator relationship to be the reverse of that observed.
Genetic variation within C. tubaeformis.
Feibelman et al (1994)
found differences in the length of the ITS region between specimens identified as C. tubaeformis from Mississippi and Germany and specimens identified as C. infundibuliformis from California. They also noted a smaller difference in ITS region size between the two C. tubaeformis specimens. Kårén et al (1997)
reported different RFLP fragment sizes produced by C. tubaeformis in Sweden from those produced by Oregon specimens (Trappe et al 2000
). Phylogenetic analyses by Dahlman et al (2000)
indicated the variant of C. tubaeformis in eastern North America seems more closely related to the European variant than to the Pacific Northwestern variant. Published descriptions (Fries 1821
, 1838
, Corner 1966
, Donk 1969
, Petersen 1979
) report no striking morphological differences between C. tubaeformis collections from these geographic regions beyond what might be expected from intraspecific variability. If the geographic variants of C. tubaeformis are genetically isolated to the extent that they have evolved different host compatibility matrices (as discussed by Petersen and Hughes [1999]
, "requisite in this process is a hiatus in gene exchange . . . allow(ing) each group to accumulate genetic differences."), they probably would qualify as distinctly different species with their own epithets (Mayr 1970
, Carson 1985
, Brasier 1997
). Sequencing of herbaria specimens from around the globe suggests this is the case for C. tubaeformis (Trappe unpubl data). Preliminary phylogenetic analyses group together specimens from eastern Russia, Europe and eastern North America, distinct from western North American specimens. Pilz et al (2003)
used the name Craterellus neotubaeformis nom. prov., and it is likely that a comprehensive phylogenetic analysis of the C. tubaeformis complex will result in a formal name change for the western North American variant. The region of geo-genetic divide in North America remains an intriguing question that will be answered only by further sampling and analysis.
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
1 Corresponding author. E-mail: trappem{at}onid.orst.edu
| LITERATURE CITED |
|---|
|
|
|---|
Alexander I, Watling R. 1987. Macrofungi of Sitka spruce in Scotland. Proc Royal Soc Edinburgh 93B:107115.
Allison PD. 1999. Logistic regression using the SAS system: theory and application. Cary, North Carolina. SAS Institute Press. 302 p.
Amaranthus MP, Parrish DS, Perry DA. 1989. Decaying logs as moisture reservoirs after drought and fire. In: Alexander E, ed. Stewardship of soil, air, and water resources: Proceedings of watershed 89, Juneau, Alaska. U.S.D.A. Forest Service Region 10. p 191194.
, Trappe JM, Bednar L, Arthur D. 1994. Hypogeous fungal production in mature Douglas-fir forest fragments and surrounding plantations and its relation to coarse, woody debris and animal mycophagy. Can J For Res 24:21572165.
Bandrud TE, Timmermann V. 1998. Ectomycorrhizal fungi in the NITREX site at Gårdsjön, Sweden; below and above-ground responses to experimentally-changed nitrogen inputs 19901995. For Ecol & Mgt 101:207214.
Becker G. 1956. Observations sur lécologie des champignons superieurs. Ann Sci Univ Besançon, Ser. 2, Bot. 7:15128.
Bending G, Read DJ. 1995. The structure and function of the vegetative mycelium of ectomycorrhizal plants: foraging behaviour and translocation of nutrients from exploited litter. New Phytol 130:401409.
, . 1997. Lignin and soluble-phenolic degradation by ectomycorrhizal and ericoid fungi. Mycol Res 101:13481354.
Bills GF, Holtzman GI, Miller OK Jr. 1986. Comparison of ectomycorrhizalbasidiomycete communities in red spruce versus northern hardwood forests of West Virginia. Can J Bot 64:760768.
Boddy L. 1983. Microclimate and moisture dynamics of wood decomposing in terrestrial ecosystems. Soil Biol Biochem 15:149157.
Brasier CM. 1997. Fungal species in practice: identifying species units in fungi. In: Claridge MF, Dawah HA, Wilson MR, eds. Species: the units of biodiversity. London: Chapman and Hall. p 135170.
Carson HL. 1985. Unification of speciation theory in plants and animals. Syst Bot 10:380390.
Corner EJH. 1966. A monograph of cantharelloid fungi. London, England: Oxford University Press. 255 p.
Cullings KW. 1992. Design and testing of a plant-specific PCR primer for ecological and evolutionary studies. Mol Ecol 1:233240.
,Vogler DR. 1998. A 5.8S nuclear ribosomal RNA gene sequence database: applications to ecology and evolution. Mol Ecol 7:919923.[Medline]
Dahlman M, Danell E, Spatafora JW. 2000. Molecular systematics of Craterellus: cladistic analysis of nuclear LSU rDNA sequence data. Mycol Res 104:388394.
Donk MA. 1969. Notes on Cantharellus sect. Leptocantharellus. Persoonia 5:265284.
Durall DM, Todd AW, Trappe JM. 1994. Decomposition of 14C labeled substrata by ectomycorrhizal fungi in association with Douglas-fir. New Phytol 127:725729.
Eberhart JL, Luoma DL, Amaranthus MP. 1996. Response of ectomycorrhizal fungi to forest management treatmentsa new method for quantifying morphotypes. In: Azcon-Aguilar C, Barea JM, eds. Mycorrhizas in integrated systems: from genes to plant development. Luxembourg: Office for Official Publications of the European Communities. p 9699.
Erland S, Henrion B, Martin F, Glover LA, Alexander IJ. 1994. Identification of the Basidiomycete Tylospora fibrillosa by RFLP analysis of the PCR-amplified ITS and IGS regions of the ribosomal RNA. New Phytol 126: 525532.
Feibelman TP, Bayman P, Cibula W. 1994. Length variation in the internal transcribed spacer of ribosomal DNA in chanterelles. Mycol Res 98:614618.
Fogel R, Ogawa M, Trappe JM. 1973. Terrestrial decomposition: a synopsis. Int Biol Programme Internal Report No. 135.
Franklin JF, Dyrness C. 1973. Natural vegetation of Oregon and Washington. U.S.D.A. Forest Service General Technical Report PNW-8.
Fries EM. 1821. Systema Mycologicum. Lund. Vol. 1. p 319.
. 1838. Epicrises Systematis Mycologici seu synopsis Hymenomycetum. Greifswald. p 364366.
Gardes M, Bruns TD. 1993. ITS primers with enhanced specificity for Basidiomycetes: application to the identification of mycorrhizae and rusts. Mol Ecol 2:113118.[Medline]
, . 1996. ITS-RFLP matching for identification of fungi. In: Clapp JP, ed. Methods in molecular biology. Vol. 50. Species diagnostic protocols: PCR and other nucleic acid methods. Totowa, NJ: Hamana Press. p 177186.
Gorova TL. 1980. Makromitseti pokhidnykh Ukrainskykh Karpat (Macromycetes of secondary spruce woods in the Ukrainian Carpathians). Ukr Bot Zh 37:4450.
Graham RL, Cromack K Jr. 1982. Mass, nutrient content and decay rate of dead boles in rain forests of Olympic National Park. Can J For Res 12:511521.
Griffiths RP, Caldwell BA. 1992. Mycorrhizal mat communities in forest soils. In: Read DJ, Lewis DH, Fitter AH, Alexander IJ, eds. Mycorrhizas in Ecosystems. C.A.B. International 3rd European Symposium on Mycorrhizae. Cambridge: University Press. p 98105.
Hansen L, Knudsen H. 1997. Nordic Macromycetes. Vol. 3. Copenhagen, Denmark: Nordsvamp. p 262.
Harley JL, Smith SE. 1983. Specificity and recognition in symbiotic systems. In: Harley JS, Smith SE, eds. Mycorrhizal Symbiosis. New York: Academic Press. p 357386.
Harmon ME, Sexton J. 1996. Guidelines for measurements of woody detritus in forest ecosystems. Publication No. 20, U.S. LTER Network Office. Seattle, Washington: University of Washington. p 2325.
Högberg P, Plamboeck AH, Taylor AFS, Fransson PMA. 1999. Natural 13C abundance reveals trophic status of fungi and host-origin of carbon in mycorrhizal fungi in mixed forests. Proc Nat Acad Sci 96:85348539.
Jonsson L, Dahlberg A, Brandrud TE. 2000. Spatiotemporal distribution of an ectomycorrhizal community in an oligotrophic Swedish Picea abies forest subjected to experimental nitrogen addition: above- and belowground views. For Ecol & Mgt 132:143156.
Kalmár Z. 1950. Kalapos gombáink (Hymenomycetes) mykorrhiza kapcsolatai (The mycorrhizal associations of the hymenomycetes). Magyar Agrár. Egyetem, Debrecen. Erdömérnöki Karának Evkönyve 1:157187.
Kårén O, Högberg N, Dahlberg A, Jonsson L, Nylund JE. 1997. Inter- and intraspecific variation in the ITS region of rDNA of ectomycorrhizal fungi in Fennoscandia as detected by endonuclease analysis. New Phytol 136:313325.
Kraft M. 1978. Les champignons de la tourbiere des Tenasses (Les Pleiades/Vevey VD, Suisse). Schweiz Z Pilzk 56:129136.
Kreisel H. 1957. Die Pilzflora des Darss und ihre Stellung in der Gesamtvegetation. Feddes Repert Beih 137, Beitr Vegetationsk 2:110183.
Kropp BR. 1981. Fungi from decayed wood as ectomycorrhizal symbionts of western hemlock. Can J For Res 12: 3639.
, Trappe JM. 1982. Ectomycorrhizal fungi of Tsuga heterophylla. Mycologia 74:479488.
Maser C, Trappe JM. 1984. The seen and unseen world of the fallen tree. U.S.D.A. Forest Service General Technical Report PNW-164.
, Cline SP, Cromack K Jr, Trappe JM, Hansen E. 1989. What we know about large trees that fall to the forest floor. From the forest to the sea: the life of a rotten log. U.S.D.A. Forest Service General Technical Report PNW-229.
Mayr E. 1970. Populations, species, and evolution; an abridgment of animal species and evolution. Cambridge, Massachusetts: Belknap Press. 453 p.
McClelland M, Nelson M, Raschke E. 1994. Effect of site-specific modification on restriction endonucleases and DNA modification methyltransferases. Nucleic Acids Res 22:36403659.
Minore D. 1972. Germination and early growth of coastal tree species on organic seed beds. U.S.D.A. Forest Service Research Paper PNW-135.
Molina R, Massicotte H, Trappe JM. 1992. Specificity phenomena in mycorrhizal symbiosis: community-ecological consequences and practical implications. In: Allen M. ed. Mycorrhizal functioning: an integrative plant-fungal process. New York: Chapman and Hall. p 357423.
Nagelkerke NJD. 1991. A note on a general definition of the coefficient of determination. Biometrika 78:691692.
Peck CH. 1887. New York species of Cantharellus. Bulletin of the New York State Museum of Natural History 1: 3443.
Persoon CH. 1825. Mycologia Europaea. Vol. 2. Erlangen. p 417.
Persson O. 1997. The chanterelle book. Berkeley, California: Ten Speed Press. p 29, 51.
Petersen RH. 1979. Notes on Cantharelloid fungi IX. Nova Hedwig 31:123.
, Hughes KW. 1999. Species and speciation in mushrooms: development of a species concept poses difficulties. BioSci 49:440452.
Peyronel B. 1922. Altri nuovi casi di rapporti micoizici tra fanergame e basidiomyceti. Soc Bot Ital B 4:5052.
Pilz DP, Molina R, Liegel L. 1998. Biological productivity of chanterelle mushrooms in and near the Olympic Peninsula biosphere reserve. AMBIO Special Report No. 9: The biological, socioeconomic, and managerial aspects of chanterelle mushroom harvesting: The Olympic Peninsula, Washington State, U.S.A. Stockholm: Royal Swedish Academy of Sciences. p 813.
Pilz DP, Norvell LL, Danell E, Molina R. 2003. Ecology and management of commercially harvested chanterelle mushrooms. U.S.D.A. Forest Service General Technical Report PNW-576.
Roche L, Haddock PG. 1987. Sitka spruce in North America with special reference to its role in British forestry. Proc Royal Soc Edinburgh, 93B:112.
Romell L. 1938. A trenching experiment in spruce forest and its bearing on problems of mycotrophy. Sven Bot Tidskr 32:8999.
Russell EW. 1988. Russells soil conditions and plant growth. 11th ed. In: Wild A, ed. New York: John Wiley and Sons. 991 p.
Sambrook J, Fritsch EF, Maniatis T. 1989. Molecular cloning: a laboratory manual. Vol. 1. New York: Cold Spring Harbor Laboratory. 637 p.
Sollins P. 1982. Input and decay of CWD in coniferous stands in western Oregon and Washington. Can J For Res 12:1828.
, Cline SP, Verhoeven T, Sachs D, Spycher G. 1987. Patterns of log decay in old-growth Douglas-fir forests. Can J For Res 17:15851595.
Trappe JM. 1962. Fungus associates of ectotrophic mycorrhizae. Bot Rev 28:538605.
Trappe MJ, Eberhart JL, Luoma DL. 2000. Concise description of Craterellus tubaeformis ectomycorrhizae. In: Goodman DM, Durall DM, Trofymow JA, Berch SM, eds. Concise description of North American ectomycorrhizae, 5th folio, CDE-23. Sidney, British Columbia: Mycologue Publications.
Trojanowski J, Haider K, Hütterman A. 1984. Decomposition of 14C labeled lignin, holocellulose and lignocellulose by mycorrhizal fungi. Arch Microbiol 139:202206.
Tyler G. 1985. Macrofungal flora of Swedish beech forest related to soil organic matter and acidity characteristics. For Ecol & Mgt 10:1329.
U.S.D.A. Forest Service and U.S.D.I. Bureau of Land Management. 1994. Record of decision and standards and guidelines for management of habitat for late-successional and old-growth forest related species within the range of the northern spotted owl. 74 p. plus Attachment A: standards and guidelines.
van Wagner CE. 1968. The line intercept method in forest fuel sampling. For Sci 14:2026.
Wästerlund I, Ingelög T. 1981. Fruit body production of larger fungi in some yroung Swedish forests with special reference to logging waste. For Ecol & Mgt 3:269294.
White TJ, Bruns TD, Lee SB, Taylor JL. 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: Innis MA, Gelfand DH, Sninsky JJ, eds. PCR protocols: a guide to methods and applications. New York: Academic Press. p 315322.
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |