Snag Dynamics in Western Oregon and Washington

INTRODUCTION

To achieve desired amounts and characteristics of snags and down wood, managers require analytical tools for projecting changes in dead wood over time, and for comparing those changes to management objectives such as providing dead wood for wildlife and ecosystem processes.

A quantitative analysis of dead wood dynamics through time can be accomplished using the USDA Forest Service’s Fire and Fuels Extension (FFE) of the Forest Vegetation Simulator (FVS). However, the following additional information on rates of snag recruitment and fall from across forests of Oregon and Washington, which are not incorporated into FVS-FFE may also be useful in planning for future levels of dead wood. Two separate analyses, using 2 different sets of data are presented below.

  • The first analysis is based on remeasurement of individual snags from the Continuous Vegetation Survey (CVS) data. This analysis uses data from Forest Service (FS) lands only. Fall rates of snags are adjusted based on tree species, size, and site characteristics using a combination of data and expert knowledge incorporated into Bayesian Network (BN) models. These data are from across Oregon and Washington.
  • The second analysis is based on remeasurement of individual snags on non-federal lands from the Forest Inventory and Analysis (FIA) program. This analysis includes snag recruitment rates, fall rates by cause of death, size and species, and compares rates from disturbed (harvested) and undisturbed sites. These data are from western Oregon and Washington only.

OREGON AND WASHINGTON

(Coarse Wood Dynamics Model) CWDM Update
Snag Fall Rates

Kim Mellen-McLean
August 2016

The Coarse Wood Dynamics Model (CWDM) (Mellen and Ager 2002) provides information on the dynamics of snags and down logs in forested ecosystems across Oregon and Washington. The fall and decay rates in CWDM have been updated, and the updated rates have been incorporated into Forest Vegetation Simulator-Fire and Fuels Extension (FVS-FFE), however funding and support has not been available to update the stand- alone model. The updated snag fall rates are displayed and discussed here.

METHODS

Snag fall and height loss rates were derived from Continuous Vegetation Survey (CVS) remeasurement data from Forest Service lands in Oregon and Washington. Time between remeasurements varied from 2 to 11 years. On the initial visit to each plot, all live and standing dead trees were tallied and species, height, diameter at breast height (DBH), and decay class were recorded. At the second visit, trees previously tallied as snags were noted as still standing, fallen, or harvested. If snags were still standing, their current DBH, height, and decay class were recorded. Fall rates were prorated to a per year basis due to differences in remeasurement periods.

Only snags with which fell due to natural causes were used to calculate snag fall rates. A total of 42,736 snags were used in the snag fall calculations (Table 1). Fall rates for white fir and grand fir were combined as “true fir” to increase sample size and because fall rates are similar for the 2 species. Fall rates were much faster east of the Cascade crest as compared to west of the crest for Douglas-fir, true firs and Lodgepole pine, thus fall rates are separated geographically for these species.

Reliable data were not available from the CVS plots to incorporate factors that may affect snag fall rates. For that reason, the base fall rates calculated from CVS data were adjusted in relation to site characteristics using a Bayesian Network (BN) which combined data and expert knowledge. (See Marcot et al. 2001 and Marcot 2006 for a discussion of the use of BNs). Factors in the BN included: soil moisture, soil depth, slope position, and presence of insect and/or disease. Conditional probabilities in the BN, reflecting the effect of each factor, were assigned by expert panel. Fall rates determined by adjusting the base fall rate by 0.875- to 2-times depending on factors present. For details see CWDM Documentation.

Assumptions and Limitations

It is assumed that the fall rates calculated from CVS data are unbiased estimates of average fall rates across conditions effecting fall rates and not skewed toward extreme conditions that significantly increase or decrease fall rates. Based on the statistically rigorous design of the CVS sampling protocol, this should be a reasonable assumption.

  • Root rot causes snags to fall more rapidly than any other insect or pathogen, or site condition.
  • Ridgetop locations and shallow soils increase snag fall rates.
  • Soil moisture is secondary or tertiary to other site influences. Wet soils will decrease fall rate because roots are saturated and thus don’t rot as fast.
  • Lag times between time of death and time snags begin to fall range from 0 to 23 years depending on species and size of snag (Harmon et al. 1986, Dunn and Bailey 2012, and Mark Harmon personal communication)

Fire is not incorporated in to the projection of snag fall through time. Most fire return intervals are longer than the longest 11-year remeasurement period from the CVS data, especially when considering fire suppression and exclusion. Fire may partially consume snags and/or increase fall rates. This should be kept in mind when looking at the life span of snags, especially in areas with frequent fire return intervals due to wild or prescribed fire. In some areas snags may be consumed before they decay to the point of providing soft snags. Fire also creates snags, and snag densities are likely to increase immediately after fire, however, individual snags are unlikely to reach the “maximum ages” displayed in Table 4 and Table 5 in areas with frequent fire-return intervals.

Snag Fall Rates

Rates of snag fall are influenced by a variety of conditions and variables, including species, size, site conditions, presence of insects and pathogens.

Key Findings from Analysis of CVS Data

Species has the most influence on fall rates with cedar standing the longest and red alder falling the fastest (Table 4 and Table 5). It takes cedar 8-times as long for half of a cohort of snags to fall than for half a cohort of red alder snags to fall. Other major influences on snag fall include:

  • Large snags stand from 2- to 5-times longer than small snags of the same species.
  • Douglas-fir on the west side of the Cascade crest fall slower than Douglas-fir on the eastside of the Cascade crest.

Species specific average fall rates are displayed in Table 2 and Table 3 by physiographic province. The tables display the percent of snags expected to be standing by time since death in 5-year increments. The percent standing at any given time can also be viewed as the likelihood that a given snag will still be standing. “Maximum age” is based on the time at which > 95% of snags in cohort have fallen (≤ 5% still standing).

In all provinces, cedar, white pine and Douglas-fir remain standing the longest, while Lodgepole pine, alder and poplar species (cottonwood and aspen) fall the fastest (Table 5). However, live alder and cottonwood often contain pockets of heartrot, thus these trees may provide long-term nesting habitat for cavity nesting birds

Model Adjusted Fall Rates

Table 4 displays adjusted fall rates, in terms of the percent of snags that have fallen after 10 years, for three snag size classes and various tree species. The highest rates are adjustments for decayed snags, on shallow soils, on ridgetops, and with root rot. The lowest rates are adjustments for sound snags, on deep soils, away from ridgetops with no insect or disease effects. Note that the snag fall lag time is not used for the highest fall rates. See CWDM Documentation

MANAGEMENT IMPLICATIONS

These findings have several implications for planning for desired future conditions of snags. The high fall rate (almost half) of recent mortality trees needs to be considered when planning for future recruitment of snags and down wood. Fall rates predicted by CWDM support the FVS analysis that, for most species and especially smaller snags, a majority of snags will fall within the first 10 years (Table 2). Trees that fall soon after death provide snag habitat only for very short periods of time or not at all, but do contribute down wood habitat. In fact, these trees are a desirable source of down wood as they will often begin as mostly undecayed wood and, if left on the forest floor, will proceed through the entire wood decay cycle with its associated ecological organisms and processes that are beneficial to soil conditions and site productivity (see section on Ecosystem Processes Related to Wood Decay). Because many existing snag dynamics models assume that all mortality trees are recruited as snags, a major implication of these findings is that these models will substantially overestimate future snag abundance and underestimate amounts of down wood.

The cause of tree death also needs to be considered in planning for snags and down wood. Trees killed by insects, animals, suppression, and diseases other than root disease, are most likely to remain standing as snags. The quality of snag habitat also varies with mortality agent and should be considered as well -- see insect and disease discussions for more information.

Because snag retention is so strongly affected by harvest activities, dead wood should be planned for separately for disturbed and undisturbed stands. Although 62% of snags on disturbed plots in the FIA study were cut down, it's likely that more snags could be retained in harvest units than our findings indicate, by applying creative approaches to snag placement that also address safety and operational concerns (see Neitro et al. 1985). Our findings suggest that snag size (DBH) and species should be considered when identifying particular snags to retain in harvest units. The larger the snag diameter, the more likely it is to survive harvest operations and remain standing in future years. Species of cedar can be expected to stand the longest (although cedar tends to have low overall wildlife value, whereas hardwoods, Sitka spruce, and true firs will be shortest-lived (but often have higher wildlife value (see the Ancillary Data section in summary narratives)). Again, both the quality and the longevity of snag habitat needs to be considered (see the Considerations for Stand Dynamics section in summary narratives).

Forest Vegetation Simulators and Dead Wood Dynamics Models

Dead wood dynamics models can be used to better project the recruitment, fall, and decay of snags and down wood on a site to determine amounts and characteristics of dead wood over time. Dead wood dynamics models can guide efforts at green tree retention and snag and down wood creation. Estimates of tree mortality can be obtained from forest simulation models such as the Forest Vegetation Simulator (FVS), Organon, or Zelig, and entered into the dead wood dynamics models as recruited snags and down wood. Existing dead wood dynamics models do not yet incorporate all of the recently available information on tree dynamics from remeasurement of permanent plots such as presented in this paper. In the future, forest simulators and dead wood dynamics models will be updated and improved to include the best available information.

Several existing dead wood dynamics models are available for use, which are described in the Coarse Wood Dynamics Model (CWDM) (Mellen and Ager 2002), the Snag Recruitment Simulator (SRS) (Marcot), and the Snag Dynamics Projection Model (SDPM) (McComb and Ohmann 1995). In addition, the Forest Vegetation Simulator (FVS) now has a Fire and Fuels Extension (FFE) that tracks and simulates decay and fall of standing dead trees, and decay of down wood (i.e., 'surface fuels'). The fall and decay rates from the CWDM update, discussed above, have now been incorporated in to the FFE for all variants in Oregon and Washington

WESTERN OREGON AND WASHINGTON

Snag Fall and Recruitment Rates from Remeasured FIA Plots

Janet L. Ohmann
July 26, 2002

The summaries presented here are based on remeasurement data from permanent periodic Forest Inventory and Analysis (FIA) plots on nonfederal lands. The plots sample several DecAID vegetation conditions on the west side of the crest of the Cascade Mountains in Washington and Oregon ("westside"), but are predominantly from the Westside Lowland Conifer-Hardwood wildlife habitat type. Similar tree remeasurement data are available for eastern Washington and Oregon, but have not yet been compiled. Repeat measurements on permanent plots to determine tree death and fall are very reliable, whereas estimates of change in snag height and decay class are less accurate and are not presented here. Also, because repeatable measurements of down wood along transects are problematic, data on down wood dynamics at the individual log level are unlikely to be provided by regional forest inventory plots. The information presented here therefore focuses on live tree mortality, snag creation, and snag fall.

This project was funded in part by the Forest Health Monitoring Program, USDA Forest Service. A poster version of this information is at https://www.fs.fed.us/foresthealth/fhm/posters/posters02/snag.pdf. Cartography is by Matt Gregory.

Methods

Rates of snag recruitment, decay, and fall were summarized from repeat measurement data for FIA plots in western Oregon and western Washington (Table 6, Figure 1). Each plot and tree was measured twice over a 10-year period. On the initial visit to each plot, all live and standing dead trees were tallied and species, height, diameter at breast height (DBH), and decay class were recorded. At the second visit, trees previously tallied as snags were noted as still standing, fallen, or harvested. If snags were still standing, their current DBH, height, and decay class were recorded. Trees that died since the first measurement (mortality) were noted as still standing (recruited snags) or fallen, and cause of death was recorded.

Because snag dynamics are strongly influenced by logging and forest management activities, data were analyzed separately for disturbed and undisturbed plots. 'Disturbed' plots were those where any kind of tree cutting or silvicultural treatment (clearcut, partial harvest, precommercial thin, commercial thin, incidental harvest) was recorded for the 10-year remeasurement period. Disturbances that occurred prior to the remeasurement period are not accounted for in the analysis. Snag recruitment (fall rate of mortality trees) and snag fall also are summarized by State and by tree size class.

Key Findings

Snag Recruitment

  • Rates of mortality tree recruitment as snags varied by cause of death (Table 7). Trees killed by insects, animals, and suppression were most likely to remain standing as snags over the 10-year remeasurement period. Not surprisingly, trees killed by weather (including windthrow) and root disease were most likely to fall down soon after death.
  • Nearly half of all mortality trees, dying from all causes combined, fell within 10 years of death and were not recruited as snags (Table 7).

Rates of Snag Fall and Harvest

  • In undisturbed stands, 30% of all snags ≥ 25.4 cm (10.0 in) DBH fell down over the 10-year period (Table 8).
  • Snag fall rates in undisturbed stands were substantially lower for the largest snags: most (93%) snags >100 cm (39 in) DBH remained standing over the remeasurement period (Table 8). Snags in the two smaller DBH classes fell at about the same rate (30% and 33%).
  • Snag retention was strongly impacted by harvest activities. Only 15% of snags ≥ 25 cm (10 in) DBH remained standing after disturbance (Table 9). Most snags (62%) were cut down and either left on site or removed. A smaller percentage (16%) fell down naturally. Smaller snags were more likely to be cut down than larger snags.
  • In undisturbed stands, western redcedar and 'other conifer' (mostly cedar) snags stood the longest (Table 10.). Hardwoods, Sitka spruce, and true firs fell at the greatest rates.

Literature Cited

Dunn, Christopher J., and John D. Bailey. 2012. Temporal dynamics and decay of coarse wood in early seral habitats of dry-mixed conifer forests in Oregon’s Eastern Cascades. Forest Ecology and Management 276:71-81.

Harmon, M. E., J. F. Franklin, F. J. Swanson, P. Sollins, S. V. Gregory, J. D. Lattin, N. H. Anderson, S. P. Cline, N. G. Aumen, J. R. Sedell, G. W. Lienkaemper, K. Cromack, Jr, and K. W. Cummins. 1986. Ecology of coarse woody debris in temperate ecosystems. Advances in Ecological Research 15:133-302.

Marcot, Bruce G., Richard S. Holthausen, Martin G. Raphael, Mary M. Rowland, Michael J. Wisdom. 2001. Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. Forest Ecology and Management 153:29-42.

Marcot, Bruce G. 2006. Habitat modeling for biodiversity conservation. Northwestern Naturalist 87:56-65.

McComb, W.C.; Ohmann, J.L. 1995. Snag Dynamics Projection Model (SDPM): a model of snag recruitment, decay, and fall for Pacific Northwest forests. Unpublished.

Mellen, K., and A. Ager. 2002. A coarse wood dynamics model for the western Cascades. pp 503-516. In: Laudenslayer, William F., Jr.; Valentine, Brad; Weatherspoon, C. Philip; Lisle, Thomas E., technical coordinators. Proceedings of the symposium on the ecology and management of dead wood in western forests. 1999 November 2-4; Reno, NV. Gen. Tech. Rep. PSW-GTR-181. Albany, CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture. http://www.fs.fed.us/psw/publications/documents/gtr-181/040_MellAger.pdf

Rose, C. L., B. G. Marcot, T. K. Mellen, J. L. Ohmann, K. L. Waddell, D.L. Lindley, and B. Schreiber. 2001. Decaying wood in Pacific Northwest forests: concepts and tools for habitat management. Pp. 580-623 in: D.H. Johnson and T. A. O'Neil, ed. Wildlife-habitat relationships in Oregon and Washington. Oregon State University Press, Corvallis OR.

Table 1. Number of remeasured snags, by species, from CVS data from Oregon and Washington.

Species Number of remeasured snags
Silver fir 2292
White fir 1785
Grand fir 4139
Subalpine fir 2353
Red alder 346
Western larch 1985
White-bark pine 405
Lodgepole pine 6919
Engleman spruce 905
White pine 834
Ponderosa pine 2663
Douglas-fir 13417
Western redcedar 707
Western hemlock 2683
Mountain hemlock 1207
Poplars 96
Total – all species 42736

Table 2. Snag fall rates for medium sized snags by physiographic province and species. Medium size snags are 25-75 cm dbh (10-29 in)a or 20 to 50 cm dbh (8-20 in)b depending on species. Columns below species reflect percent of trees still standing at 5 year increments. Unadjusted base fall rates and snag fall lag times were used in the calculations of percent snags still standing. Maximum age is year at which 95% of snags have fallen.

WEST OF CASCADES
years since death Cedara Douglas-fira True fira Western hemlocka Mountain hemlockb White pineb Lodgepole pineb Silver fira Sprucea Poplarsb Alderb
0 100 100 100 100 100 100 100 100 100 100 100
5 100 100 85 84 83 100 83 80 75 62 60
10 100 100 71 71 69 100 68 63 56 38 36
15 91 91 60 59 57 83 56 50 42 24 22
20 83 82 51 50 47 68 46 40 32 15 13
25 75 74 43 42 39 56 38 32 24 9 8
30 69 67 36 35 33 46 32 25 18 6 5
35 62 61 31 30 27 38 26 20 13 4 3
40 57 55 26 25 23 32 21 16 10 2 2
45 52 50 22 21 19 26 18 13 8 1 1
50 47 45 19 17 16 21 15 10 6 1 1
55 43 41 16 15 13 18 12 8 4 1 0
60 39 37 13 12 11 15 10 6 3 0 0
65 35 33 11 10 9 12 8 5 2 0 0
70 32 30 9 9 7 10 7 4 2 0 0
75 29 27 8 7 6 8 6 3 1 0 0
80 27 25 7 6 5 7 5 3 1 0 0
85 24 22 6 5 4 6 4 2 1 0 0
90 22 20 5 4 3 5 3 2 1 0 0
95 20 18 4 4 3 4 3 1 0 0 0
100 18 17 3 3 2 3 2 1 0 0 0
Max age 170 165 90 85 80 90 80 65 55 35 30
Fall rate/yr 0.018 0.019 0.031 0.032 0.034 0.035 0.035 0.041 0.05 0.076 0.08
EAST SIDE and SW OREGON
years since death Cedara Western larcha White pinea Western hemlocka Mountain hemlockb Douglas-fira True fira Sprucea Ponderosa pinea Lodgepole pineb Poplarsb
0 100 100 100 100 100 100 100 100 100 100 100
5 100 100 100 84 83 100 80 75 100 64 62
10 100 100 100 71 69 100 63 56 69 41 38
15 91 89 86 59 57 81 50 42 47 26 24
20 83 79 73 50 47 66 40 32 32 17 15
25 75 70 63 42 39 53 32 24 22 11 9
30 69 63 53 35 33 43 25 18 15 7 6
35 62 56 46 30 27 35 20 13 10 4 4
40 57 50 39 25 23 28 16 10 7 3 2
45 52 44 33 21 19 23 13 8 5 2 1
50 47 39 29 17 16 19 10 6 3 1 1
55 43 35 24 15 13 15 8 4 2 1 1
60 39 31 21 12 11 12 6 3 2 0 0
65 35 28 18 10 9 10 5 2 1 0 0
70 32 25 15 9 7 8 4 2 1 0 0
75 29 22 13 7 6 6 3 1 1 0 0
80 27 20 11 6 5 5 3 1 0 0 0
85 24 17 10 5 4 4 2 1 0 0 0
90 22 15 8 4 3 3 2 1 0 0 0
95 20 14 7 4 3 3 1 0 0 0 0
100 18 12 6 3 2 2 1 0 0 0 0
Max age 170 140 105 85 80 80 65 55 45 35 35
Fall rate/yr 0.018 0.022 0.029 0.032 0.034 0.038 0.041 0.05 0.063 0.072 0.076

Table 3. Snag fall rates for large sized snags by physiographic province and species. Large size snags are > 75 cm dbh (> 29 in)a or > 50 cm dbh (> 20 in)b depending on species. Columns below species reflect percent of trees still standing at 5 year increments. Unadjusted base fall rates and snag fall lag times were used in the calculations of percent snags still standing. Maximum age is year at which 95% of snags have fallen.

WEST OF CASCADES
years since death Douglas-fira Cedara White pinea Western hemlocka Mountain pineb Silver fira True fira Sprucea Alderb
0 100 100 100 100 100 100 100 100 100
5 100 100 100 100 100 100 100 100 70
10 100 100 100 92 92 91 89 80 49
15 100 100 100 85 85 83 78 63 34
20 97 95 95 78 78 75 69 50 24
25 93 89 89 72 72 69 61 40 17
30 90 84 84 66 66 62 54 32 12
35 87 80 80 61 61 57 48 25 8
40 84 75 75 56 56 52 43 20 6
45 81 71 71 51 51 47 38 16 4
50 78 67 67 47 47 43 33 13 3
55 75 64 64 43 43 39 29 10 2
60 73 60 60 40 40 35 26 8 1
65 70 57 57 37 37 32 23 6 1
70 68 54 54 34 34 29 20 5 1
75 65 51 51 31 31 27 18 4 0
80 63 48 48 29 29 24 16 3 0
85 61 45 45 26 26 22 14 3 0
90 59 43 43 24 24 20 13 2 0
95 57 40 40 22 22 18 11 2 0
100 55 38 38 21 21 17 10 1 0
Max age 425 285 285 190 190 165 130 70 45
Fall rate/yr 0.007 0.011 0.011 0.016 0.016 0.018 0.023 0.041 0.06
EAST SIDE and SW OREGON
years since death Cedara White pinea Douglas-fira Western larcha Western hemlocka Mountain hemlockb True fira Ponderosa pinea Sprucea Lodgepole pineb
0 100 100 100 100 100 100 100 100 100 100
5 100 100 100 100 100 100 100 100 100 78
10 100 100 100 100 92 100 89 85 80 60
15 100 100 100 100 85 92 78 71 63 47
20 95 95 92 92 78 85 69 60 50 36
25 89 89 85 85 72 78 61 51 40 28
30 84 84 78 78 66 72 54 43 32 22
35 80 80 72 72 61 66 48 36 25 17
40 75 75 66 66 56 61 43 31 20 13
45 71 71 61 61 51 56 38 26 16 10
50 67 67 56 56 47 51 33 22 13 8
55 64 64 51 51 43 47 29 19 10 6
60 60 60 47 47 40 43 26 16 8 5
65 57 57 43 43 37 40 23 13 6 4
70 54 54 40 40 34 37 20 11 5 3
75 51 51 37 37 31 34 18 9 4 2
80 48 48 34 34 29 31 16 8 3 2
85 45 45 31 31 26 29 14 7 3 1
90 43 43 29 29 24 26 13 6 2 1
95 40 40 26 26 22 24 11 5 2 1
100 38 38 24 24 21 22 10 4 1 1
Max age 285 285 200 200 190 195 130 95 70 60
Fall rate/yr 0.011 0.011 0.016 0.016 0.016 0.016 0.023 0.031 0.041 0.045

Table 4. Fate of snags within the first 10-year period based on fall rates from CWDM (2-11 year remeasurement period). Percent fallen based on high rate does not include a lag time; percent fallen based on low rate includes the unadjusted lag time.

Small snags(< 25 cm (10 in)a or < 20 cm (8 in)b)
Species Percent fallen based on high rate Percent fallen based on low rate Lag time
Silver fira 70% 42% 0
Grand fira 89% 60% 0
Red alderb 96% 73% 0
Lodgepole pineb 85% 55% 0
Cedara 62% 18% 5
Douglas-fir – westa 64% 18% 5
Douglas-fir – easta 81% 30% 5
Ponderosa pinea 97% 61% 3
Western hemlocka 73% 46% 0
Medium snags(25-75 cm dbh(10-29 in)a or 20-50 cm dbh (8-20 in)b)
Species Percent fallen based on high rate Percent fallen based on low rate Lag time
Silver fira 51% 27% 0
Grand fira 53% 27% 0
Red alderb 82% 51% 0
Lodgepole pineb 82% 51% 0
Cedara 19% 0% 10
Douglas-fir – westa 35% 0% 10
Douglas-fir – easta 46% 0% 10
Ponderosa pinea 78% 36% 3
Western hemlocka 54% 30% 0
Large snags(> 75 cm dbh(> 29 in)a or > 50 cm dbh (> 20 in)b)); there were not enough data to calculate fall rates for large red alder or lodgepole pine.
Species Percent fallen based on high rate Percent fallen based on low rate Lag time
Silver fira 18% 3% 5
Grand fira 31% 8% 5
Red alderb - - -
Lodgepole pineb - - -
Cedara 15% 0% 15
Douglas-fir – westa 15% 0% 15
Douglas-fir – easta 31% 0% 15
Ponderosa pinea 46% 12% 5
Western hemlocka 33% 9% 5

Table 5. Number of years for 50% of various species of snags to fall under average (unadjusted) site conditions.

Species Years for large snags (> 29”1 or > 20”2 dbh) Years for medium snags (10-29”1 or 8-20”2 dbh)
Cedars 1 95 years 75 years
Douglas-fir on the west side 1 90 years 45 years
Douglas-fir on the east side1 45 years 32 years
Ponderosa pine1 30 years 13 years
Hemlocks1 30 years 15 years
True firs1 35 years 17 years
Lodgepole pine2 7 years
Alder 2 10 years 7 years
Populus2 8 years 7 years

Table 6. Forest Inventory and Analysis plot data in western Oregon and Washington.

Western Oregon Western Washington
Number of plots 338 669
% of plots undisturbed* over remeasurement period 68 72
Inventory dates Mid-1980s,
mid-1990s
Late 1970s,
late 1980s
Number of mortality trees -- 499
Number of remeasured snags 1,128 2,076

* No tree cutting or silvicultural treatment.

Table 7. Fate of mortality trees of all species and > 25.4 cm (10.0 in) DBH by cause of death over a 10-year period, western Washington.

Cause of death Percent still standing Percent fell down
Insects 96 4
Root disease 52 48
Other rots 63 37
Animals 100 0
Weather 28 72
Suppression 79 21
Other / unknown 61 39
All causes 56 44

* No tree cutting or silvicultural treatment.

Table 8. Fate of remeasured snags over a 10-year period by diameter class (DBH) in undisturbed* stands, western Oregon and Washington.

Snag fate < 25.4-50.0 cm (10-20 in) 50.1-100.0 cm (20-39 in) > 100.0 cm (39 in) All sizes
Percent still standing 61 59 93 62
Percent fallen 30 33 4 30
Percent shrank to <25.4 cm (10.0 in) DBH or <2 m (7 ft) tall 9 8 3 8

* No tree cutting or silvicultural treatment over the 10-year remeasurement period.

Table 9. Fate of remeasured snags by snag size over a 10-year period by diameter class (DBH) in disturbed* stands, western Oregon and Washington

Snag fate < 25.4-50.0 cm (10-20 in) 50.1-100.0 cm (20-39 in) > 100.0 cm (39 in) All sizes
Percent still standing 8 15 42 15
Percent fallen 17 17 3 16
Percent shrank to <25.4 cm (10.0 in) DBH or <2 m(7 ft) tall 3 9 8 7
Percent cut down 72 59 47 62

* Tree cutting or silvicultural treatment occurred over the 10-year remeasurement period.

Table 10. Fate of remeasured snags over a 10-year period by species in undisturbed* stands in western Oregon and Washington

Snag fate Douglas-fir Western hemlock Western redcedar Sitka spruce True fir Other conifers** Hard-woods
Percent still standing 70 67 76 30 37 78 29
Percent fallen 23 20 12 67 40 22 65
Percent shrank to <25.4 cm (10.0 in) DBH or <2 m (7 ft) tall 7 13 12 3 23 0 5

* No tree cutting or silvicultural treatment over the 10-year remeasurement period.
** Incense cedar, Alaska yellow-cedar, Port-Orford cedar, redwood, Pacific yew, and mountain hemlock.

Figure 1. Plot locations and topography




Bibliography on Dynamics of Snags and Down Wood

Current as of July 26, 2002

Aubry, K. B., B. L. Biswell, J. P. Hayes, and B. G. Marcot. In press. Use of live trees and snags by mammals and their effects on ecosystem function. Pp. xxx-xxx in: C. Zabel and R. Anthony, ed. Mammal community dynamics in coniferous forests: management and conservation in the new millennium. Cambridge University Press, Cambridge MA.

Cline, S. P., A. B. Berg, and H. M. Wright. 1980. Snag characteristics and dynamics in Douglas-fir forests, western Oregon. Journal of Wildlife Management 44:773-786.

Edman, M., and B. G. Jonsson. 2001. Spatial pattern of downed logs and wood-decaying fungi in an old-growth Picea abies forest. J. Vegetation Science 12(5):609-620.

Everett, R., J. Lehmkuhl, R. Schellhaas, P. Ohlson, D. Keenum, H. Riesterer, and D. Spurbeck. 1999. Snag dynamics in a chronosequence of 26 wildfires on the east slope of the Cascade Range in Washington state, USA. International Journal of Wildland Fire 9(4):223-234.

Fridman, J., and M. Walheim. 2000. Amount, structure, and dynamics of dead wood on managed forestland in Sweden. Forest Ecology and Management 131(1-3):23-36.

Gonor, J. J., J. R. Sedell, and P. A. Benner. 1988. What we know about large trees in estuaries, in the sea, and on coastal beaches. Pp. 83-113 in: C. Maser, R. F. Tarrant, J. M. Trappe, and J. F. Franklin, ed. From the forest to the sea: a story of fallen trees. Gen. Tech. Rpt. PNW- GTR-229. USDA Forest Service, Portland OR.

Graham, R. L. L. 1981. Biomass dynamics of dead Douglas-fir and western hemlock boles in mid- elevation forests of the Cascade Range. Ph.D. Dissertation, Department of Forestry. Oregon State University, Corvallis, Oregon. 152 pp.

Grier, C. C. 1978. A Tsuga heterophylla - Picea sitchensis ecosystem of coastal Oregon: decomposition and nutrient balances of fallen logs. Can. J. For. Res. 8:198-206.

Gutzwiller, K. J., and S. H. Anderson. 1987. Short-term dynamics of cavity-nesting bird communities in disjunct floodplain habitats. The Condor 89:710-720.

Harmon, M. E., and C. Hua. 1991. Coarse woody debris dynamics in two old-growth ecosystems. BioScience 41:604-610.

Huggard, D. J. 1999. Static life-table analysis of fall rates of subalpine fir snags. Ecological Applications 9(3):1009-1016.

Keen, F. P. 1955. The rate of natural falling of beetle-killed ponderosa pine snags. J. Forestry 53:720-723.

Keim, R. F., A. E. Skaugset, and D. S. Bateman. 2000. Dynamics of coarse woody debris placed in three Oregon streams. Forest Science 46(1):13-22.

Kruys, N., B. G. Jonsson, and G. Stahl. 2002. A stage-based matrix model for decay-class dynamics of woody debris. Ecological Applications 12(3):773-781.

Maser, C., and J. M. Trappe. 1984. The seen and unseen world of the fallen tree. USDA Forest Service General Technical Report PNW-164. Pac. NW. For. Rng. Expt. Stn., Portland, OR. 56 pp.

Maser, C., and M. J. Trappe. 1984. The fallen tree--a source of diversity. Pp. 335-339 in: New forests for a changing world. Proc. Soc. Amer. For. Natl. Conf., 1983 Oct 16-20, Portland OR. Soc. Amer. For., Bethesda MD.

Maser, C., R. F. Tarrant, J. M. Trappe, and J. F. Franklin. 1988. From the forest to the sea: a story of fallen trees. USDA Forest Service Pacific Northwest Forest and Range Experiment Station General Technical Report PNW-GTR-229. USDA Forest Service, Portland OR.

Mellen, K., and A. Ager. Submitted. A coarse wood dynamics model for the western Cascades. (pp. xxx-xxx) In: P. J. Shea and W. Laudenslayer (Ed.). Proceedings of a conference on The Ecology and Management of Dead Wood in Western Forests, Reno, Nevada. USDA Forest Service, Pacific Southwest Research Station General Technical Report PSW-XXX.

Morrison, M. L., and M. G. Raphael. 1993. Modeling the dynamics of snags. Ecol. Applic. 3(2):322-330.

Parks, C. G., D. A. Conklin, L. Bednar, and H. Maffei. 1999. Woodpecker use and fall rates of snags created by killing ponderosa pine infected with dwarf mistletoe. RP-515. USDA Forest Service, Portland OR. 11 pp.

Raphael, M. G., and M. L. Morrison. 1987. Decay and dynamics of snags in the Sierra Nevada, California. Forest Science 33:774-783.

Schmid, J. M., S. A. Mata, and W. F. McCambridge. 1985. Natural falling of beetle-killed ponderosa pine. USDA Forest Service Research Note RM-454, Rocky Mountain Experiment Station. USDA Forest Service,

Sedell, J. R., P. A. Bisson, F. J. Swanson, and S. V. Gregory. 1988. What we know about large trees that fall into streams and rivers. Pp. 47-82 in: C. Maser, R. F. Tarrant, J. M. Trappe, and J. F. Franklin, ed. From the forest to the sea: a story of fallen trees. Gen. Tech. Rpt. PNW- GTR-229. USDA Forest Service, Portland OR.

Sinton, D. S., J. A. Jones, J. L. Ohmann, and F. J. Swanson. 2000. Windthrow disturbance, forest composition, and structure in the Bull Run Basin, Oregon. Ecology 81(9):2557-2566.

Spies, T. A., and S. P. Cline. 1988. Coarse woody debris in forests and plantations of coastal Oregon. Pp. 5-23 in: C. Maser, R. F. Tarrant, J. M. Trappe, and J. F. Franklin, ed. From the forest to the sea: a story of fallen trees. Gen. Tech. Rpt. PNW- GTR-229. USDA Forest Service, Portland OR.

Tinker, D. B., and D. H. Knight. 2000. Coarse woody debris following fire and logging in Wyoming lodgepole pine forests. Ecosystems 3:472-483.

Welty, J. J., T. Beechie, K. Sullivan, D. M. Hyink, R. E. Bilby, C. Andrus, and G. Pess. 2002. Riparian aquatic interaction simulator (RAIS): a model of riparian forest dynamics for the generation of large woody debris and shade. Forest Ecology and Management 162(2-3):299-318.

Wilhere, G. F. 2003. Simulations of snag dynamics in an industrial Douglas-fir forest. Forest Ecology and Management 174(1-3):521-539.

Bibliography on Dynamics of Wood Decay

Current as of July 26, 2002

Amaranthus, M. P., D. S. Parrish, and D. A. Perry. 1989. Decaying logs as moisture reservoirs after drought and wildfire. (pp. 191-194) In: E. Alexander (Ed.). Stewardship of soil, air and water resources. Wathershed 89. R10-MB-77. USDA Forest Service, Region 10, Juneau, Alaska.

Boyce, J. S. 1932. Decay and other losses in Douglas Fir in western Oregon and Washington. USDA Forest Service Tech. Bull. No. 286. USDA Forest Service, Washington DC. 60 pp.

Buchanan, T. S., and G. H. Englerth. 1940. Decay and other volume losses in wind-thrown timber on the Olympic Peninsula, Washington. USDA Forest Service Tech. Bull. No. 733. USDA Forest Service, Wasington DC. 30 pp.

Conner, R. N., D. C. Rudolph, D. Saenz, and R. R. Schaefer. 1994. Heartwood, sapwood, and fungal decay associated with red-cockaded woodpecker cavity trees. J. Wildl. Manage. 58(4):728-734.

Fischer, W. C., and B. R. McClelland. 1983. A cavity-nesting bird bibliography - including related titles on forest snags, fire, insects, disease, and decay. Gen. Tech. Rep. INT-140. USDA Forest Service, Ogden UT. 79 pp.

Graham, R. L., and K. Cromack. 1982. Mass, nutrient content, and decay rate of dead boles in rain forests of Olympic National Park. Can. J. For. Res. 12:511-521.

Jonsson, B. G. 2000. Availability of coarse woody debris in a boreal old-growth Picea abies forest. J. Vegetation Science 11(1):51-56.

Kamp, B. J. V. d. 1975. The distribution of microorganisms associated with decay of western redcedar. Can. J. Forest Research 5(61):61-67.

Lindenmayer, D. B., R. B. Cunningham, and D. F. Donnelly. 1997. Decay and collapse of trees with hollows in eastern Australian forests: impacts on arboreal marsupials. Ecol. Applic. 7(2):625-641.

McFee, W. W., and E. L. Stone. 1966. The persistence of decaying wood in the humus layer of northern forests. Soil Sci. Soc. Am. Proc. 30:512-516.

Muller, M. M., M. Varama, J. Heinonen, and A. M. Hallaksela. 2002. Influence of insects on the diversity of fungi in decaying spruce wood in managed and natural forests. Forest Ecology and Management 166(1-3):165-181.

Przybylowicz, P. R., B. R. Kropp, M. E. Corden, and R. D. Graham. 1987. Colonization of Douglas-fir poles by decay fungi during air-seasoning. Forest Products Journal 37(4):17-23.

Rose, C. L., B. G. Marcot, T. K. Mellen, J. L. Ohmann, K. L. Waddell, D. L. Lindley, and B. Schreiber. 2001. Decaying wood in Pacific Northwest forests: concepts and tools for habitat management. Pp. 580-623 in: D. H. Johnson and T. A. O'Neil, ed. Wildlife-habitat relationships in Oregon and Washington. Oregon State University Press, Corvallis OR.

Silvester, W. B., P. Sollins, T. Verhoeven, and S. P. Cline. 1982. Nitrogen fixation and acetylene reduction in decaying conifer boles: effects of incuabation time, aeration, and moisture content. Can. J. Forest Research 12(3):646-652.

Sollins, P. 1982. Input and decay of coarse woody debris in coniferous stands in western Oregon and Washington. Canadian Journal For. Res. 12:18-28.

Sollins, P., S. P. Cline, T. Verhoeven, D. Sachs, and G. Spycher. 1987. Patterns of log decay in old-growth Douglas-fir forests. Canadian Journal of Forest Research 17:1585-1595.

Thomas, G. P., and R. W. Thomas. 1954. Studies in forest pathology. XIV. Decay of Douglas-fir in the coastal region of British Columbia. Can. J. Botany 32:630-653.

Wilcox, W. W. 1968. Changes in wood microstructure through progressive states of decay. USDA Forest Service Research Paper FPL 70. Forest Products Laboratory. USDA Forest Service, Madison, WI. 46 pp.

Zabel, R. A., F. F. Lombard, and A. M. Kenderes. 1980. Fungi associated with decay in treated Douglas-fir transmission poles in the northeastern United States. Forest Products Journal 30(4):51-56.

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