
STAND
MANAGEMENT COOPERATIVE |
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ARTICLES
OF INTEREST
Effects
of Organic Matter Retention and Management on Long-term Productivity
of
Pacific Northwest Coastal Douglas-fir Plantations
Robert B. Harrison,
Associate Professor of Forest Soils
Robert L. Edmonds, Professor of Soil Microbiology
Dale W. Cole, Professor of Forest Soils
Amy Sidell and Barry Flaming, Graduate Students
College of Forest Resources, University of Washington
Thomas A. Terry, William Scott, & Ron Heninger, Senior Scientists
Weyerhaeuser Corporation
Alex Dobkowski, Senior Research Forester Weyerhaeuser Corporation
Richard Miller, Emeritus Soil Scientist USDA Forest Service,
PNW Station.
Introduction:
Increased demands
for wood fiber coupled with reductions in the acreage of production
forests have created the need to produce more material from
a given area; i.e., increased biomass utilization and more intensive
harvesting and management practices. The higher intensities
of management can result in increased pressure on the basic
soil factors that contribute to site productivity potential,
with possible negative impacts as a result of compaction of
the soil from mechanized harvesting, direct removal of nutrients
in biomass, and weed control.
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Understory
vegetation was collected from 5 subplots per treatment
plot
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Forest floor
and organic soil horizons (Oi, Oe, Oa) were collected
from 2 randomly selected 0.25 m2 subplots per treatment
plot
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This study was initiated
to investigate the long-term effects of common industry practices
on forest productivity and should begin to fill a critical data
gap that exists in the Pacific Northwest Region for Douglas-fir
management. The specific objectives of this study are:
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1) To
develop nutrient budgets for various levels of organic matter
removal from typical highly productive Site II Douglas-fir
stands.
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2) To
evaluate the effects of increased harvest utilization (biomass
removal) and soil compaction on organic matter, nutrients,
soil porosity, and productivity of the subsequent stand.
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3) To
evaluate the effectiveness of ameliorative fertilization
and tillage on organic matter, nutrients, soil porosity,
and subsequent stand growth, and to assess the effect of
weed control on nutrient redistribution, soil properties,
and stand development and growth.
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The
two photos show coarse woody debris being quantified by
measuring diameter, length and decomposition class along
3 randomly located 15m transects per treatment plot. Samples
of each decomposition class were collected for nutrient
analysis
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Soil
A horizon and B horizon (0-10cm, 10-30cm, 30-50cm, and
50+cm) samples were collected and measured from 2 randomly-selected
subplots per treatment plot using a 3.5cm diameter soil
probe
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Work completed
to date:
We are now nearing
the final phases of fieldwork in order to characterize the initial
stand conditions before harvesting and installation of the treatments.
Presently, we have completed sampling the understory vegetation,
forest floor, and soils.
To quantify the amount
of understory vegetation, 5 randomly located subplots were established
in each of the 48 treatment plots. For each subplot, all oxalis
was collected from a 0.25 m2 area. All other understory species
present within a 2-meter radius were collected, oven-dried to
constant weight, and weighed. Presently, we are composting vegetation
samples for nutrient analysis.
Forest floor was
removed from the same 0.25 m2 area in only two of the five randomly
located subplots. Samples have been oven-dried to constant weight,
and are currently being prepared for nutrient analysis.
Soil samples were
taken with a soil probe to about 80 cm deep, and separated as
A horizon, B 0-10 cm, B 10-30 cm, B 30-50 cm, and B 50+ cm.
The length of each depth was recorded to allow for bulk density
volume of the soil probe. Additional samples were taken with
a traditional bulk density sampler and revealed a high correlation
(r2=0.70) with the soil probe estimation of bulk density. Samples
have been air-dried and are being weighed and prepared for nutrient
analysis.
In addition to the
above sampling, coarse woody debris was also estimated. We ran
three randomly located transects 15 m long by 30 cm wide in
each plot. Large woody material not sampled as forest floor
was collected, decomposition class noted, and weighed. We rated
decomposing logs into five continuous classes based on observable
characteristics, such as the presence or absence of bark and
twigs. Class 1 logs are recent additions to the forest floor
and still have intact bark and twigs present. Class 3 logs have
only trace signs of bark and no twigs present. A Class 5 log
is the most highly decomposed with a soft and powdery texture
and is almost completely incorporated into the forest floor.
Material that was too large to cut with a chainsaw was mapped
by recording its dimensions and decomposition class. Samples
of each decomposition class were randomly collected for nutrient
analysis.
Future Work:
The above samples
will be analyzed for the parameters listed in Table 1.
| Table
1: Analysis Parameters |
| Vegetation
and Forest Floor |
Soil
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Dry
Weight
pH
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Dry
Weight
pH
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Mineralizable
N
Bray-2
Extractable P
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Total
Elemental Concentration
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Total
Elemental Concentration
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Cation
Exchange Capacity
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(C,N,P,K,Ca,Mg,S,
B)
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(C,N,P,K,Ca,Mg,S,
B)
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Excangeable
cations
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Bulk
density
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Tree Biomass Estimation:
Our next step to complete the initial stand characterization
will be to estimate standing tree biomass. Diameters at breast
height have been recorded for all trees in the study. We will
select at random thirty Douglas-fir and thirty western hemlock
trees based on their diameter distributions. These trees will
be felled and we will then be able to quantify the biomass components
of live branches, dead branches, and bole wood and bark.
This site has been
scheduled to be logged this winter, as soon as all fieldwork
is completed. Treatments will then be randomly selected and
installed. The study design consists of four blocks of twelve
treatment plots which are 0.63 acres in size and internal measurement
plots which are 0.33 acres in size to ensure that valid long-term
productivity trends (i.e., with fertilization or possibility
for thinning) can be monitored. The twelve treatments of interest
are listed in Table 2.
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Table
2: Study Design and Treatments
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OM
& Nutrient Treatments
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Compaction
Treatments
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Plot
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Treatment
Designation
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Harvest
Level
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Nitrogen
Fertilization*
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Weed Control
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Soil Compaction
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Soil Tillage
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1
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O1FoWo
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CoTo
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Bole-only
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____
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____
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____
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____
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2
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O1F1Wo
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CoTo
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Bole-only
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200 lb.
N
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____
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____
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____
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3
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O1FoW1
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CoTo
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Bole-only
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____
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Weed Control
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____
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____
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4
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O1F1W1
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CoTo
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Bole-only
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200 lb.
N
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Weed Control
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____
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____
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5
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O2FoWo
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CoTo
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Total-tree
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____
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____
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____
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____
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6
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O2F1Wo
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CoTo
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Total-tree
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200 lb.
N
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____
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____
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____
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7
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O2FoW1
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CoTo
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Total-tree
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____
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Weed Control
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____
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____
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8
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O2F1W1
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CoTo
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Total-tree
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200 lb.
N
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Weed Control
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____
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____
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9
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O2F1Wo
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C1To
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Total-tree
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200 lb.
N
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____
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Compaction
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____
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10
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O2F1Wo
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C1T1
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Total-tree
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200 lb.
N
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Compaction
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Tillage
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11
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O2F1W1
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C1To
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Total-tree
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200 lb.
N
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Weed Control
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Compaction
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12
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O2F1W1
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C1T1
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Total-tree
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200 lb.
N
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Weed Control
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Compaction
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Tillage
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---"
indicates this treatment will not be made for this plot
*200
lb N fertilizer will be applied at age 10 and 6 year intervals;
adjustments to fertilizer applications
(amounts
and elements) may be made based on diagnostic results
The study site will
be planted with genetically improved family-mix stock of 680
trees/acre after harvesting and treatment installation. Stand
and soil measurements, including temperature and moisture will
continue to be recorded. Atmospheric inputs and CO2 flux will
also be monitored for a nutrient cycling study.
Questions can
be addressed to:
Dr.
Rob Harrison at: robh@u.washington.edu

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