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From George Pess
October 25, 1998
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Bruce Halstead
U.S. Fish & Wildlife Service
1125 16th Street, Room 209
Arcata, CA 95521 |
Re: Comments on Volume IV - Pacific Lumber Company Habitat Conservation
Plans, Sustained Yield Plan/Habitat Conservation Plan, Public Review Draft
July 1998.
Permits: PRT-828950 and 1157
Page 7 — Section 1.1.3 — Rock and Gravel Mining, Rock
Quarrying
Rock and gravel mining can have significant adverse effects to fish and
wildlife, which is why such activities are regulated under the California
Environmental Quality Act (CEQA) and California Surface Mining & Reclamation
Act. According to paragraph six of section 1.1.3 PALCO states the following:
Quarries will be analyzed further during the watershed analysis process.
This will provide the company with an opportunity to identify any necessary
future mitigation at that time. All existing pits and quarries will be
mapped through the watershed analysis process. New pits and quarries will
be mapped when constructed.
PALCO goes on to identify in section 1.2.9 (watershed analysis) that they
will utilize a modified version of the Washington (State) Forest Practice
Board Manual entitled Standard Methodology for Conducting Watershed
Analysis - version 4.0," or the most current version.
However, there is no methodology within the Washington State manual
that analyzes the effects of rock and gravel mining on fish habitat. This
is known from having co-authored several of the Washington State watershed
analysis modules, including the stream channel and fish habitat module,
as well as participating in over four watershed analyses in Washington
State. PALCO does not identify a specific methodology on how it will evaluate
the potential adverse effects of rock and gravel mining on fish and wildlife,
aside from stating that all new pits and quarries will be mapped when constructed.
In my opinion, mapping quarries and pits, after they are constructed, does
not constitute an scientific evaluation process that identifies potential
adverse effects of mining to fish and wildlife.
(Go Back To Top)
Page 28 — Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.1.2 Storm Proofing
Forest roads can be a significant source of sediment to stream channels
(Collins and Pess, 1997a). According to studies recently completed on PALCO
land, forest roads can generate between 8% and 17% of the total sediment
production within a watershed (Pacific Watershed Associates, 1998a; Pacific
Watershed Associates, 1998b). Between 67% and 69% of the sediment delivery
from roads is associated with landslides (mass wasting) (Pacific Watershed
Associates, 1998a; Pacific Watershed Associates, 1998b). Large storms are
a major trigger mechanism for such sediment inputs in PALCO watersheds
(Pacific Watershed Associates, 1998a; Pacific Watershed Associates, 1998b).
Consequently, storm-proofing roads is a critical step in reducing sediment
input to streams.
PALCO identifies a road storm-proofing audit procedure on page 28, numbers
1 through 5. The procedure is similar to the detailed analysis developed
and implemented by Pacific Watershed Associates (1998a, 1998b) for the
North Fork Elk and Bear Creek watersheds. Details regarding the procedure
are identified in Volume II, Part O (Assessment and Implementation Techniques
for Road-related Sediment Inventories). The methodology, developed by Pacific
Watershed Associates, is a detailed analysis which requires a basic understanding
of geology and geomorphic processes, as well as, an intimate understanding
of how to quantify sediment production. PALCO identifies that trained
observers" will implement the audit, including the identification
of potential erosion hazard areas, quantification of sediment deliver to
stream channel, and remedial action that can help reduce sedimentation.
In my opinion, a detailed analysis such as the one described in this
section, requires formal education in geology, with an emphasis in geomorphology,
or forest hydrology and forest road engineering. Furthermore, years of
experience on forest lands is also needed in order to help identify and
quantify potential erosion hazards. The quality of the individual doing
such analysis will have, in my opinion, a major effect on whether the audits
are accurate, precise, repeatable, and thorough. PALCO does not give sufficient
information to identify if such a person will be the trained observer.
PALCO also does not state if a detailed analysis, such as the ones completed
for North Fork Elk and Bear Creek watersheds, will be implemented on each
watershed. PALCO states that at least 500 miles of existing roads
will be improved to meeting the storm-proofing standards identified in
the PWA guidelines (Volume II, Part N)." It is not clear if the 500
miles of road includes all watersheds in which PALCO owns land.
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Page 28 —Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.1.3 Road Construction, Maintenance,
Improvements, and Abandonment, Statement number 1
Forest roads can be a significant source of sediment to stream channels,
either through surface erosion or by increasing landslide rates within
a watershed (Collins and Pess, 1997a; Pacific Watershed Associates 1998a&b).
Therefore, road construction, maintenance, improvement, and abandonment
is an integral part of reducing sediment production to stream channel.
Decreases in sediment production reduce the direct and cumulative effects
of forestry on fish habitat and production.
The PALCO HCP recognizes the importance of a road management plan, and
attempts to implement road management in the following manner:
1. For purposes of this (PALCO HCP) Plan, a road will be considered
upgraded when it is well drained and shows no sign of imminent failure
(e.g., as evidenced by slumping scarps, or cracks in the road fill) which
deliver sediment to a watercourse.
This statement and prescribed management response does not utilize all
the criteria and information gathered during the assessment of road and
associated sediment sources, road storm-proofing, and watershed analysis,
which PALCO identifies in Volume II, Part O (Assessment and implementation
techniques for road-related sediment inventories), and sections 1.2.1.1
and 1.2.1.2 of this Volume.
According to the road erosion inventory methodology, future (expected)
erosion and sediment delivery information will be gathered (Volume II,
Part O, Pages 4 and 5; Pacific Watershed Associates, 1998a&b, Pages
7 and 9), including information of potentially" unstable
areas that do not show signs of imminent" (e.g., visual)
failure.
However, poorly built or maintained roads that have not begun to show
signs of visible failure (e.g., slumps, scarps, and cracks), but do have
a high potential to fail due to unstable fill, or other problems, will
not be upgraded.
PALCO does not describe why such areas where left out of the upgrade
plan. A road maintenance and upgrade plan that does not include all potential
high risk failure areas, regardless of whether or not they show current
signs of failure, which can impact a watercourse, is likely, in my opinion,
to lead to significant cumulative adverse impacts to fish habitat and production.
(Go Back To Top)
Page 29 — Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.1.3 Road Construction, Maintenance,
Improvements, and Abandonment
Fish passage through structures such as culverts is critical to the potential
recovery of salmonids. In Washington State, over 3,000 thousand miles of
historic salmon habitat is currently blocked to fish passage (Conroy, 1997).
Independent field surveys throughout Washington State have shown that large
percentages of culverts either block fish passage, or impede passage (Pess
and others, 1997). Culverts can also degrade fish habitat in other ways,
including reducing nutrient distribution, which lead to a wide range of
effects on the aquatic ecosystem (Cederholm and Peterson, 1985; Bilby and
others, 1996). Coho salmon can be particularly effected by culverts in
fish-bearing streams because of their tendency to move to the upper portions
of watershed, and eventually into smaller streams (Scarlett and Cederholm,
1984).
The PALCO HCP identifies that fish passage will be accommodated for
all new roads which pass over fish-bearing streams and restorable"
fish-bearing streams (Volume IV, section 1.2.1.3, page 29, first paragraph).
PALCO, however, does not define what a restorable" fish-bearing
stream is, nor do they give any reference to information that is needed
to define a restorable stream. According to my knowledge of the scientific
literature no one has ever defined when a stream is or is not restorable.
More importantly, PALCO does not address the need to evaluate if existing
culverts are fish passage impediments. Work in other Pacific states, such
as Washington, have identified and implemented large-scale programs which
inventory and identify culverts blocking salmon passage (Conroy, 1997).
For example, the Snohomish River, a 1200mi2, watershed in Western Washington
that includes a significant portion of its land in managed timberlands,
has had field crews from five agencies (local county governments, non-profits,
tribes, state agencies, and federal agencies) implementing culvert inventories
for over four years. This effort has resulted in approximately 25% of the
entire basin being inventoried, with 75% remaining. In some cases, 50 to
75% of the existing culverts in a watershed that has forestry as its primary
land-use are fish passage blockages (Conroy, 1997). The Stillaguamish River,
a 700mi2 watershed in Western Washington, has had a culvert inventory recently
completed for over 50% of the basin. Blocking culverts have reduced potential
coho smolt production in small stream habitat by 38% to 40% from historic
conditions (Pess and others, 1997). Approximately 60 miles of small stream
habitat is blocked for at least one coho freshwater life stage (Pess and
others, 1997). The DEIS/EIR for the Headwaters Forest Acquisition, and
the PALCO Habitat Conservation Plan and Sustained Yield Plan also identifies
that critical freshwater habitat for juvenile coho is particularly susceptible
to human disturbance such as fish passage barriers that prevent upstream
access or modify downstream conditions (USFWS, October 1998, page 3.8-23).
Based on this, and other efforts throughout the entire region where salmon
occur, it is clear that existing blocking culverts are a problem.
PALCO does not address the issue of existing blocking culverts, even
though it, in all likelihood, is a problem, particularly to coho. In addition,
state and local rules that govern the design of water crossing structures
for roads normally include a specific provision for fish passage (e.g.,
Washington State Administrative Code 222-24-050). It is my opinion that
existing blocking culverts do have a significant adverse effect of coho
use and production, and do result in the loss of fish over time. Leaving
existing blocking culverts in streams will reduce the recovery of wild
salmon stocks, such as coho, because of a reduction in the amount of total
available habitat.
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Page 30 — Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.2.1 Channel Migration Zone
The channel migration zone (CMZ) is a critical concept to incorporate into
riparian and land management because rivers with flood plains can migrate
laterally by eroding their banks, or shift channels abruptly during floods
(Dunne and Leopold, 1978).
In order to plan for the future recruitment of large woody debris (LWD)
to stream channels, it is necessary to maintain a riparian forest on the
entire flood plain, as well as the adjacent slopes. PALCO states the definition
of the CMZ as the following:
All segment of Class I and Class II streams that have a Rosgen type
C, D, or E channel morphology will be examined to identify the current
boundaries of the active channel during the 50 years covered by the Incidental
Take Permit (ITP) as evidenced by the past channel migration and other
field indicators.
The CMZ definition in Volume IV is not consistent with other definitions
that have been developed by the National Marine Fisheries Service (NMFS),
and other HCP plans such the Washington State Department of Natural Resources
(WDNR). NMFS defined the CMZ, in the draft proposal on Oregon Forest Practice
Rules (February 17, 1998) as:
The area a stream is expected to occupy in the time period it takes
to grow a tree of sufficient size to geomorphically function in the channel.
Spatially, this area generally corresponds to the modern flood plain, but
can also include river terraces subject to significant bank erosion. An
acceptable method for delineating the CMZ at a particular site involves
delineating either the flood-prone area or the approximate 100-year flood
plain, whichever is greater. For larger streams, the 100-year flood plain
may already be available on U.S. Army Corps of Engineers or county flood
hazard maps. A field method for delineating the flood-prone area is approximated
by Applied Fluvial Morphology" (Rosgen, 1996). The
flood-prone area is approximated by the area that would be inundated by
stream flows of two times the bankfull depth. The objective of identifying
the CMZ is to ensure that the stream has a protective buffer in the future,
even if the stream were to move away from its present location.
The NMFS definition of CMZ takes into account important aspects that will
lead to more protection for fish habitat. First, the NMFS definition considers
the concept of functioning wood size, which means that a piece of wood
needs to a minimum size in order to be stable and create specific habitat
features such as pools (Bilby and Ward, 1989; Montgomery and others, 1995),
or perform certain geomorphic functions such as bank protection, sediment
storage, or wood debris storage (Montgomery and Buffington, 1997). Channels
that are larger in width, consequently, need larger pieces of wood. Second,
by including the 100-year flood plain, a greater spatial extent is included,
which means that there is a higher likelihood for a channel to have riparian
protection, assuming the CMZ includes a no-harvest buffer.
The NMFS definition gives more resource protection because it utilizes
a greater spatial and temporal extent, which is scientifically more accurate
because we cannot
accurately predict future channel locations, especially in forested
channels which have a tendency to move in significant, discrete steps (e.g.,
avulsions).
The NMFS draft forest practice rules for Oregon, and other HCPs, provide
a more scientifically credible and conservative definition of a CMZ. PALCOs
definition has a greater probability of leading to significant adverse
impacts than the NMFS definition. The dynamic nature of a CMZ and the flood
plain, in my opinion, warrants a definition that encompasses a greater
percentage of the total area than how it is defined in the PALCO HCP.
(Go Back To Top)
Page 31 through 34 — Section 1.2 - Aquatic Habitat
Conservation Measures to be Implemented Under the Plan, 1.2.2.2 Class I
Stream Buffers
Adequate stream buffers which protect and enhance stream habitat for salmonids,
such as coho, is critical to the potential success of any HCP. A recent
National Research Council (NRC) publication titled, Upstream: Salmon
and Society in the Pacific Northwest states the following:
Perhaps no other structural component of the environment is as important
to salmon habitat as is large woody debris, particularly in coastal watersheds...Loss
of large woody debris from streams usually diminishes habitat quality and
reduces carrying capacity for rearing salmon during all or part of the
year (Hicks and others, 1991) (p. 194)
Large woody debris (LWD) that falls into stream channels from riparian
areas creates and maintains freshwater habitat. Of more specific importance
is the role of wood in creating pools and slower water habitat types for
juvenile and adult coho (Scarlett and Cederholm, 1984; Beechie and others,
1994; USFWS, 1998; Montgomery and others, in press;). A local decrease
in chinook and coho spawning abundance accompanied a loss of wood debris
and wood-formed pools in several streams in Western Washington (Montgomery
and others, in press). Spawning nest (or redds) density went from 30 to
240 redds/km down to 0 to 20 redds/km (Montgomery and others, in press).
The loss of LWD due to removal of wood from stream channels and the lack
of adequate riparian protection is likely to lead to the continued decline
of coho salmon habitat.
The PALCO stream buffer plan has several key aspects which reduce the
potential success at protecting and enhancing freshwater coho salmon habitat.
This list includes the following from pages 31 through 34 of Volume IV,
Section 1.2.2.2:
-
All fish bearing (or restorable) Class I streams as defined in the CFPRs
will have a Riparian Management Zone....
-
The RMZ will measure 170ft (slope distance)...
-
The Class I streams is divided into three management bands, the Restricted
Harvest Band (RHB), the Limited Entry Band (LEB), and the Outer Band (OB).
The bands are measured 0ft to 30ft, 30ft to 100ft, and 100ft to 170ft...
-
There will be a maximum of 1 entry every 20 years.
-
A minimum 300sq-ft post harvest conifer basal area per acre will be retained
with the LEB.
-
Tree sizes and quantity distribution will be retained as per Table 4...
-
A minimum of 240sq-ft post harvest conifer basal area per acre will be
retained.
-
Tree sizes and quantity distribution will be retained as per Table 4.
PALCO does not define what a restorable" fish-bearing stream
is, nor do they give any reference to information that is needed to define
a restorable stream. According to my knowledge of the scientific literature
no one has ever defined when a stream is or is not restorable. This will
limit where the Class I stream buffer prescription is applied, and can
reduce the overall spatial extent of riparian protection. Reducing the
overall extent of riparian protection will reduce wood loading and pool
habitat in areas that either have coho use, or historically had coho use.
(Go Back To Top)
Enough information is not given in Volume IV, section 1.2.2.2 to justify
the riparian buffer width distance of 170ft. According to DEIS/EIR (Chapter
3.7, page 36):
A site potential tree height is approximately 170 feet at 100 years
for PALCOs ownership. In some cases, however, the redwood zoneís
on PALCOís land can contain site-potential trees in excess of 200
feet at 100 years; consequently, the riparian zone of influence extend
farther from the stream channel in these systems.
A tree height site potential is the estimated height of a specific tree
species (e.g., Redwood, Douglas-fir) at a given age class. FEMAT (1993)
asserted that the majority of riparian functions, including LWD recruitment,
occurred within one tree height site potential from the stream or flood
plain. The DEIS/EIR (3.7-page20, Figure 3.7-2b) points out that others,
such as Van Sickle and Gregory (1990), have modeled this and shown that
large wood from outside one tree height site potential seldom reaches the
stream. Volume V (Maps and Illustrations), map 6 shows that PALCO has tree
height site potential data for all its lands. If data exists for tree height
site potential, and it is part of the HCP/SYS, then it should be used to
help determine the buffer width for each riparian zone. Stream channels
that have riparian areas with a site potential tree height greater than
170ft at 100 years will start with less than 100% potential protection.
PALCO does not give enough information to; 1) justify why 170ft was chosen,
and 2) determine the potential adverse impacts of deciding not to use actual
site potential with each stream buffer. Starting at less than 100% potential
protection decreases the recovery rates of degraded stream channels, which
lack wood and pools. Decreasing habitat recovery rates will result in less
potential coho production over the life of the HCP, and lead to adverse
effects on coho production.
PALCO does not give enough information to determine if the three bands
- restricted harvest band (RHB), limited entry band (LEB), and outer band
(OB), within the RMZ are scientifically justifiable. The only assumption
that can be made is that each allows for progressively more management
activity because the potential to recruit LWD decreases going away from
the stream channel. However, it is not clear why 30ft was chosen as the
RHB and 100ft for the LEB. The 170ft OB is based upon an average site potential
for PALCO lands. Even though the stream buffers start at the edge of the
CMZ, it is not clear if the stream buffers will protect areas with actively
eroding terraces or stream banks. If not, then large portions of the stream
buffer will be lost to the stream channel in a short time period. For example,
recent studies on PALCO lands (PWA 1998a&b) found that bank erosion
rates average 2.5ft per year and range between 1ft to 30ft per year. The
majority of erosion occurs during high flow events. A 30ft RHB along a
channel with a actively eroding bank that is not part of the CMZ, but is
either a terrace or steep bank, can be lost within one year. On average,
the 30 RHB could be lost within a 12 year time period.
AB 1986 states that the final HCP shall establish a no-cut buffer of
100 feet on each side of each Class I watercourse, until watershed analysis
is reviewed by the USFWS or NMFS, or site-specific prescriptions are established
by USFWS or NMFS. A 100ft no-cut buffer along a channel with a actively
eroding bank that is not part of the CMZ, but is either a terrace or steep
bank, can be lost in less than four years. On average, the 100 RHB could
be lost within a 40 year time period, less than the life of the HCP. More
information is needed to determine if bands or zones will give enough protection
not to have significant adverse effects on freshwater coho habitat. There
is also a lack of information on justifying how one entry in the stream
buffer for harvest every 20 years would not reduce wood loading levels
to a point of adversely affecting coho production.
PALCO identifies minimum post harvest basal area retention requirements
(Table 4, page 34), but does not give enough information to analyze the
projected impact of the stream buffer on wood loading, and the scientific
justification for each post basal area requirement. The only information
given about the science behind the retention numbers of 300 and 240 sq.
ft per acre is given in Chapter 3.7, page 57 of the DEIS/EIR:
There is no data in the literature that conclusively demonstrates
that this 300-square-foot basal area late seral selection; high residual
basal area prescription would guarantee an 80 percent or greater canopy
overstory. However, experience indicates that this 300-square-foot basal
area prescription with a dbh size distribution described in Appendix J
would result in at least an 80 percent canopy cover, especially when combined
with a 30-foot, no harvest zone next to the stream (Personal communication,
Marc Jameson, CDF, 1998).
The same is also said for 240 sq. ft target. Targets are thus set without
any scientific justification, with the exception of one individualís
opinion on whether canopy cover estimates are met. In my opinion, experimental
prescriptions, such as this one, should be treated as an experiment, and
include a hypothesis, study design, and an overall smaller scale approach
before it is implemented on an HCP scale. My opinion comes from reviewing
numerous experimental riparian prescriptions written without scientific
justification in Washington State (Collins and Pess, 1997).
(Go Back To Top)
The retention standards also do not attempt to define how many trees
per acre of a given size are maintained. The only limit to how many larger
trees are retained is 10 trees per acre, per side that are greater than
40" DBH, or the 10 largest trees, per side. Leaving 20 trees greater
than 40" DBH, or 20 of the largest trees will not be enough to provide
stable LWD in larger streams and rivers. These large trees have been shown
to be necessary to catalyze log jam formation and associated habitat elements
in large stream channels (Abbe and Montgomery, 1996; Montgomery and others,
1996). The minimal number of large trees left within the RMZ will not be
enough to create and maintain key habitat structures such as log jams,
which create large and high quality pool habitat. The PALCO DEIS/EIR also
recognizes the importance of large trees in larger streams:
Redwood and Douglas-fir late seral stage stands would not likely have
enough large trees to provide stable LWD in larger streams and rivers.
These water bodies may require recruitable trees as great as 40 inches
dbh (at a minimum) to be considered key pieces for long-term contribution
to aquatic habitat (see Section 3.4); otherwise they are at risk of floating
away in large flood events.
A basal area requirement that does not include a trees per acre requirement,
as well as a size class distribution requirement, allows for the removal
of large (e.g., > 40" DBH) trees. Again, these trees are essential
to the development of critical coho habitat through the formation of log
jams because they are stable obstructions. Such trees can last hundreds
of years in streams of the Pacific Northwest (Personal communication with
Tim Abbe, Ph.D. candidate, University of Washington, October 29, 1998).
Removing large trees along large streams, that are already depleted of
LWD, will have significant long-term adverse effects on coho habitat.
(Go Back To Top)
Page 35 through 37 — Section 1.2 - Aquatic Habitat
Conservation Measures to be Implemented Under the Plan, 1.2.2.3 Class II
Stream Buffers
The PALCO stream buffer plan for Class II streams has several key aspects
which reduce the potential success at protecting and enhancing freshwater
coho salmon habitat. This list includes the following from pages 35 through
37 of Volume IV, Section 1.2.2.3:
-
The RMZ will measure 100ft (slope distance)...
-
The Class II streams is divided into two management bands, the Restricted
Harvest Band (RHB) and the Selective Entry Band (SEB). The bands are measured
0ft to 10ft and 10ft to 100ft...
-
There will be a maximum of 1 entry every 20 years.
-
A minimum of 240sq ft post harvest conifer basal area per acre will be
retained.
-
Tree sizes and quantity distribution will be retained as per Table 4.
Enough information is not given in Volume IV, section 1.2.2.2 to justify
the riparian buffer width distance of 100ft. According to DEIS/EIR (Chapter
3.7, page 36):
A site potential tree height is approximately 170 feet at 100 years
for PALCOs ownership. In some cases, however, the redwood zoneís
on PALCOís land can contain site-potential trees in excess of 200
feet at 100 years; consequently, the riparian zone of influence extend
farther from the stream channel in these systems.
In addition, Volume V (Maps and Illustrations), map 6 shows that PALCO
has tree height site potential data for all its lands. If data exists for
tree height site potential, and it is part of the HCP/SYS, then it should
be used to help determine the buffer width for each riparian zone. Stream
channels that have riparian areas with a site potential tree height greater
than 100ft at 100 years will start with less than 100% potential protection.
PALCO does not give enough information to; 1) justify why 100ft was chosen,
and 2) determine the potential adverse impacts of deciding not to use actual
site potential with each stream buffer. Starting at less than 100% potential
protection decreases the LWD input rates to degraded stream channels. Decreasing
LWD input rates will result in less potential coho production over the
life of the HCP, and lead to adverse effects on coho production.
(Go Back To Top)
PALCO does not give enough information to determine if the two bands
- restricted harvest band (RHB), selective entry band (SEB), within the
RMZ are scientifically justifiable. The only assumption which can be made
is that each allows for progressively more management activity because
the potential to recruit LWD decreases going away from the stream channel.
However, it is not clear why 10ft was chosen as the RHB and 100ft for the
SEB. Even though the stream buffers start at the edge of the CMZ, it is
not clear if the stream buffers will protect areas with actively eroding
terraces or stream banks. If not, then large portions of the stream buffer
will be lost to the stream channel in a short time period. For example,
recent studies on PALCO lands (PWA 1998a&b) found that bank erosion
rates average 2.5ft per year and range between 1ft to 30ft per year. The
majority of erosion occurs during high flow events. A 10ft RHB along a
channel with a actively eroding bank that is not part of the CMZ, but is
either a terrace or steep bank, can be lost within one year. On average,
the 10 RHB could be lost within 4 years.
AB 1986 states that the final HCP shall establish a no-cut buffer of
30 feet on each side of each Class II watercourse, until watershed analysis
is reviewed by the USFWS or NMFS, or site-specific prescriptions are established
by USFWS or NMFS. A 30ft no-cut buffer along a channel with a actively
eroding bank that is not part of the CMZ, but is either a terrace or steep
bank, can be lost in one year. On average, the 30 RHB could be lost within
a 12 year time period, less than the life of the HCP. More information
is needed to determine if bands or zones will give enough protection not
to have significant adverse effects on freshwater coho habitat. There is
also a lack of information on justifying how one entry in the stream buffer
for harvest every 20 years would not reduce wood loading levels to a point
of adversely affecting coho production.
PALCO identifies minimum post harvest basal area retention requirements
(Table 4, page 34), but does not give enough information to analyze the
projected impact of the stream buffer on wood loading, and the scientific
justification for each post basal area requirement. In my opinion, experimental
prescriptions, such as this one, should be treated as an experiment, and
include a hypothesis, study design, and an overall smaller scale approach
before it is implemented on an HCP scale. My opinion comes from reviewing
numerous experimental riparian prescriptions written without scientific
justification in Washington State (Collins and Pess, 1997).
The retention standards also do not attempt to define how many trees
per acre of a given size are maintained. A basal area requirement that
does not include a trees per acre requirement, as well as a size class
distribution requirement, allows for the removal of larger trees. These
trees are essential to the development of sediment storage locations within
Class II stream channels.
Wood stores sediment in steep channels by forming steps in the stream
bed, resulting in sediment accumulation. This limits the amount of sediment
which moves downstream, thereby reducing impacts to fish habitat and water
quality. LWD also helps stabilize hillsides and dissipate stream energy
by reducing the effective channel slope (Megahan, 1982; Keller and others,
1996; Haas, 1996). This reduces the amount of energy available for bank
and bed erosion, thereby reducing stream channel incision.
In the Northern Redwood Creek basin, Keller and others (1996) found
that up to 70% of increase in stream channel slope with first and second
order stream reaches was controlled by the loss of LWD. Removing large
trees along Class II streams, that are already depleted of LWD, is likely
to have significant long-term adverse effects on downstream coho habitat
by reducing the amount of upstream sediment storage locations, and subsequently
increasing the amount of downstream sediment impacts.
(Go Back To Top)
Page 38 — Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.2.4 Class III Stream Buffers
The PALCO stream buffer plan does not leave any trees along Class III streams.
Wood is important in Class III streams because it stores sediment by
forming steps in the stream bed, resulting in sediment accumulation. This
limits the amount of sediment which moves downstream, thereby reducing
impacts to fish habitat and water quality. LWD also helps stabilize hillsides
and dissipate stream energy by reducing the effective channel slope (Megahan,
1982; Keller and others, 1995; Haas, 1996). This reduces the amount of
energy available for bank and bed erosion, thereby reducing stream channel
incision.
In the Northern Redwood Creek basin, Keller and others (1995) found
that up to 70% of the increase in stream channel slope with first and second
order stream reaches was controlled by the loss of LWD. An increase in
channel slope increases stream power and reduces the number and size of
sediment storage sites. A decrease in LWD obstructions decrease the amount
of sediment retained, and results in an increase in sediment production
from a first and second order streams. Approximately 5 to 30 times the
amount of sediment that is moved out of a watershed is stored within the
stream channel behind LWD obstructions (Megahan, 1982). Removing all trees
along Class III streams is likely to have significant long-term adverse
effects on downstream coho habitat by reducing the amount of upstream sediment
storage locations, and subsequently increasing the amount of downstream
sediment impacts.
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Page 46 — Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.9 Watershed Analysis
Watershed analysis is an integral part of the PALCO HCP/SYS. PALCO will
conduct watershed analysis ...on all of its ownership (Volume IV,
section 1.2.9, page 46)." Watershed analysis will allow PALCO to
get away from a one size fits all" approach to land management,
and attempt to create management strategies that are:
... tailored to the environmental factors and current influences that
shape each watershed (Volume IV, section 1.2.9, page 46).
PALCOís hypothesis is that watershed analysis will result
in site specific management prescriptions." PALCO will use the following
watershed analysis methodology:
a modified version of the Washington Forest Practices Board Manual:
Standard Methodology for Conducting Watershed Analysis - Version 4.0 November
1997 (Washington Department of Natural Resources methodology) or the most
current version at the time of analysis.
The Washington State watershed analysis methodology does not, in most cases,
lead to watershed specific prescriptions (Collins and Pess, 1997a). This
statement is based on my experience; 1) helping to develop the watershed
analysis modules (stream channel and fish habitat), 2) participating in
four Washington State watershed analyses, and 3) reviewing and analyzing
prescriptions from the first 20 Washington State watershed analyses (Collins
and Pess 1997a, 1997b).
Our review of prescriptions from the first 20 watershed analyses completed
in Washington State found that the majority of prescriptions were similar
in form and content to the state standard rules (Collins and Pess, 1997a).
Prescriptions that did vary from standard rules incorporated additions
that increased state authority, identified specific hazard"
areas such as slopes more prone to landslides or more sensitive to increases
in erosion rates, and were more systematic and detailed. The majority of
prescriptions, however, closely follow the standard rules because the scientific
assessment methodology in the Washington State watershed analysis manual
closely follows" the standard rules (Collins and Pess, 1997a).
For example, the most common mass wasting prescription (65 out of 117
or 56%) requires a site evaluation by a specialist in a particular map
unit that includes an unstable landform such as an inner gorge. The Washington
State standard rule requires that an environmental checklist be completed
under the Washington State Environmental Policy Act for proposed timber
harvest in slide prone areas" (Collins and Pess, 1997a).
This, in most cases, includes a site evaluation by several specialists.
Furthermore, the majority of these mass wasting prescriptions do not require
a systematic method to identify the risk of landslide hazard. This means
different specialists can use their best professional judgment"
without any more data, utilize various methods that may not be repeatable
by others, or focus on determining existing stability rather than potential
future stability (Collins and Pess, 1997a).
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In addition, the majority of prescriptions developed for specific issues
in watershed analysis, such as mass wasting, are somewhat generic because
watershed analysis does not produce the site-specific data necessary for
managers to prescribe site-specific remedies (Collins and Pess, 1997a).
In some cases, site-specific data generated during the assessment process
or the scientific literature is not used by land managers to develop prescriptions
(Collins and Pess, 1997a). For example, approximately 25% (29 out of 117
reviewed) of mass wasting prescriptions allow partial harvest operations
of dominant trees in areas identified as having a high likelihood of landslide
failure, if understory" or unmerchantable"
(e.g., small shrubs and trees) trees are maintained (Collins and Pess,
1997a). The belief is that understory will maintain root strength. However,
there is little support in the scientific literature that understory"
and unmerchantable" trees alone provide adequate rooting
strength on unstable terrain (Collins and Pess, 1997a).
In my opinion, it is likely that PALCO watershed analysis will not result
in many site specific management prescriptions. This is based on my experience
in developing, implementing, and analyzing Washington Stateís watershed
analysis process, which is the basis of PALCOís future efforts.
PALCO also states the following:
After watershed analysis is completed specific prescriptions can be
implemented that will maintain and/or enhance the aquatic environment based
on the current conditions and the future needs identified in that area
(Volume IV, section 1.2.9, page 46).
The goal PALCO defines in this statement is similar to Washington Stateís
watershed analysis goal, which is to prevent adverse effects of
forest practices on aquatic resource of the state" (Collins and Pess,
1997b). The basis of this statement is that land management prescriptions
will be based upon the assessment and scientific literature.
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Our review of the first 20 Washington State watershed analysis prescriptions
indicates that many prescriptions are not based on the assessment or most
recent science (Collins and Pess, 1997a). This results in prescriptions
that do not maintain and/or enhance the aquatic environment"
to the point of preventing cumulative adverse effects (Collins and Pess,
1997b).
We found that almost two out of every three prescriptions (260 out of
430, 60%) were based on hypotheses that lacked enough scientific justification
to guarantee success in meeting the watershed analysis goal of protecting
and restoring aquatic habitat without testing. In addition, 16% of prescriptions
did not even attempt to scientifically justify prescriptions (Collins and
Pess, 1997a). In my opinion, if PALCOís site-specific prescriptions
follow the same trend as in Washington State, then it is likely that future
land management will not result in the maintenance and enhancement of aquatic
habitat.
(Go Back To Top)
Page 48 — Section 1.2 - Aquatic Habitat Conservation
Measures to be Implemented Under the Plan, 1.2.9 Watershed Analysis
PALCO states the following with respect to what will be in their watershed
analysis methodology:
PLís watershed analysis will consist of eight parts or modules":
mass wasting, surface erosion, riparian function, stream channel, fish
habitat, amphibian and reptile, synthesis and prescription setting.
PALCO does not identify any method to analyze the effects of forestry activities
on streamflow regime, even though streamflow alteration during high and
low flows can have significant adverse effects of coho production. Increases
in the magnitude of peak runoff can increase the depth and frequency of
bed scour, which results in a decrease in salmonid survival from the egg
to fry life stage (Montgomery and others, in press). Forest roads can affect
the timing, quantity, and quality of water delivered to stream channels
by increasing stream channel density, hasten subsurface flows, and increase
peak flows (Jones and Grant, 1996; Wemple, 1994).
The DEIS/EIR state the following with regards to increased peak flows
due to forest roads:
No specific mitigation has been identified for increased peak flows
due to roads under the alternatives. However, some incidental protection
would be provided such measures as using outsloping on new roads wherever
possible, and appropriate spacing of ditch relief culverts. These measures
would decrease the risk of and/or volume of increase peak flows. Although
the unmitigated risk of peak flows would be moderate to high, with the
above mitigation it would be reduced to a moderate level (Page 3.4-36).
The lack of a method to identify the effect of road building on peak flows,
and subsequent effects on stream channels, fish habitat, and fish production
can, in my opinion, result in significant long-term cumulative adverse
effects to coho habitat.
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Page 96,98 and 99 — Section 2.0 - Implementation of
the Plan, 2.1 - Habitat Condition Goals
Table 7 (Key goals for properly functioning condition identified
by the Interagency Matrix," Volume IV, page 98) identifies key water
quality, habitat elements, and riparian buffer parameters to be used as
criteria to assess properly functioning habitat" conditions.
The federal agencies and Pacific Lumber agree to the following:
..if successful, the aquatic conservation strategy should lead to
stream conditions that trend toward the key goals in the matrix. Thus,
by agreement with the agreement with the agencies: 1) the matrix is used
here to identify a desirable future condition that the aquatic strategy
will strive to achieve, and 2) the matrix does not constitute enforcement
standards that must be achieved during the life of the plan.
The HCP goes on to identify several variables that can be used to assess
the efficacy" of the aquatic conservation strategy, including
large woody debris volume, pool frequency, and pool area. The habitat conditions
goals identified for large woody debris and pool abundance in table 7 are
not based upon, and in some cases, contradict the most recent scientific
literature. Furthermore, the matrix does not identify and take into account
critical habitat types that limit freshwater coho production.
LWD volume
The LWD volume targets in the matrix do not include a goal for functioning
LWD. The scientific literature identifies that LWD size (e.g., length and
diameter of a tree) is important because it determines whether wood properly
functions" in a stream (Bilby and Ward, 1989; Montgomery and others,
1995; WFPB, 1995; Beechie and Sibley, 1997; Kennard and others, 1998).
For example, Bilby and Ward (1989), found that in order for LWD to be stable
in smaller stream channels (less than 25 meters bankfull width) and function
to create pools, store sediment and reduce bank erosion, average LWD size
needs to increase with channel width. Others have also found this relationship
to be true, especially when LWD functions to create and maintain pools
(Montgomery and others, 1995; WFPB, 1995; Beechie and Sibley, 1997; Kennard
and others, 1998). Abbe and others (1997) have defined a way to determine
the functioning size of wood in larger streams (e.g., greater than 30 meters
bankfull width), which is based on bankfull depth in relation to the size
of wood. In both cases, there is a minimum functioning LWD size, and a
given size that achieves specific functions such as pool formation.
The HCP wood volume goals by channel width can be met without having
LWD that functions to create desired habitat characteristics, such as pools,
because table 7 does not identify a minimum functioning size for each channel
width. This goal also contradicts what was developed by NMFS in September
of 1996. According to NMFS (1996) properly functioning LWD needs to have
a minimum diameter of 24 inches. A wood volume target, without a companion
minimum functioning LWD size target, is likely to result in significant
cumulative adverse effects.
Pool frequency
The goal of 6 channel widths per pool is typical of low gradient (<3%)
channels, and can be met with or without wood. Published data on pool frequency
v. wood loading show that some forest channels that are severely depleted
in LWD will still meet the proposed goal (Montgomery and others, 1995).
Beechie and Sibley (1997) examined 28 second-growth streams in Western
Washington and found that all but one stream had less than 6 channel widths
per pool. The one stream that did not meet this level had a dam-break flood
take out all functioning wood for the lower several miles. Pool frequency
in streams with old growth riparian areas average 1 channel width per pool,
but more importantly only range between 0.5 and 2 channel widths per pool
(Montgomery and others, 1995). Washington Stateís watershed analysis
manual identifies that channels less than 3% gradient and 15m in width
are in good" condition if pool spacing is less than 4 channel
widths per pool. The goal of 6 channel widths per pool will also be met
in steeper channels, regardless of wood loading (Montgomery and others,
1995).
A local decrease in chinook and coho spawning abundance accompanied
a loss of pool frequency and wood debris in several streams in Western
Washington (Montgomery and others, in press). Spawning nest (or redds)
density in areas where pool spacing was less than 4 channel widths per
pool ranged between 10 to 240 redds/km, averaging 106 redds/km (Montgomery
and others, in press). In streams where pool spacing was greater than 4
channel widths per pool redd density ranged between 0 to 20 redds/km, and
averaged 3 redds/km (Montgomery and others, in press). The HCP goal of
6 channel widths per pool establishes a standard that maintains stream
channels in a degraded condition, and is likely to significantly reduce
coho spawning utilization.
Percent pool area
The HCPís goal of greater than 20% and 25% pool surface area
can also be met, regardless of wood loading. Beechie and Sibley (1997)
found that only three of twenty -eight streams in second growth forest
in Western Washington had a percent pool area less than 20%. Streams with
gradients less than 4% in old growth forests of the Pacific Northwest can
have an average percent pool area of 54% (Ralph and others, 1994). The
Washington State watershed analysis manual identifies that channels which
have a gradient less than 4% are considered to be in fair or poor conditions
with pool areas of 40% or less (WFPB, 1995). The percent pool area goal
identified in table 7 also contradicts what was stated as high"
in Volume II, page 12, which is pool percentages greater than 40%. Volume
II identifies that a pool percentage area of greater than 25% is considered
to be the threshold between moderate and low. Once again, the goal
establishes a standard that maintains stream channels in a degraded condition,
and is likely to in significant adverse effects.
Failure to identify essential habitat
The lack of identification of essential habitat with respect to the
various life stages and life history strategies for all salmonids, especially
coho, is perhaps one of the largest flaws in the entire PALCO HCP. According
to the properly functioning habitat" conditions matrix in
Volume IV, Part D, Section 6, off-channel habitat is part of the essential
habitat elements that need to be part of any recovery effort. Off-channel
habitat includes slower water habitat that is not part of a main stem of
a river, but is still hydrologically connected either through surface or
subsurface flow. Such areas are normally found in the flood plain and include
old river meander bends (oxbows) or side-channels which convey water during
high flows. These areas are essential rearing habitat for juvenile salmonids,
such as steelhead and coho. Table 7 makes no mention of off-channel habitat.
It has been documented in the Pacific Northwest that winter and summer
rearing habitat is the current freshwater habitat factor limiting coho
production (Beechie and others, 1994).
Studies estimate that more than 50% of this habitat type has been lost
to diking, dredging, levees, channelization, ditching, and riparian conversion
over the last 100 years (Beechie and others, 1994). Protection and restoration
which does not take into account what limits fish production will not be
successful, because the capacity of the system does not change. In short,
if the limiting factor, or bottleneck," is not addressed,
then actions will not result in a change in the potential number of fish.
Table 7 does not include any targets on essential habitat types that need
to be maintained and restored for future coho production, even though Volume
IV, Part D, Section 6 and the scientific literature documents the importance
of such habitats. This, in my opinion, is likely to result in significant
adverse effects to coho habitat and potential coho smolt production.
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Pages 99 to 101 — Section 2.2 - Monitoring, 2.2.1
- Monitoring Program Objectives and 2.2.2 - Focus of the Aquatic Monitoring
Program
PALCO identifies several types of monitoring in its program including:
1) compliance monitoring, 2) trends monitoring, and 3) effectiveness monitoring.
Compliance monitoring is defined as the implementation of prescriptions.
Trend monitoring is defined as measuring the change in aquatic resources
over time, in response to prescriptions. Effectiveness monitoring is the
assessment of prescriptions on aquatic resources. For example, effectiveness
monitoring can, in theory, answer the question of whether or not riparian
prescriptions are maintaining or obtaining certain levels of LWD recruitment
over a specific time period. PALCO summarizes the intent of the monitoring
program as the following:
..the monitoring program is designed to provide data to determine
whether conditions in PLís streams are trending toward the key properly
functioning goals (Table 7, Figure 6). Where such trends are evident, it
is likely that animal populations that depend upon these parameters will
persist and/or recover (Volume IV, Section 2.2.2 Focus of the Aquatic Monitoring
Program, page 101).
PALCO assumes that if the key properly functioning condition goals are
met, then animal populations will recover over time. A trend towards, or
attainment of, the key habitat goals in Table 7 determines the success
of the PALCO HCP.
Under the proposed HCP, effectiveness monitoring will ask the basic
question:
-
Is there a trend towards the goals identified in the properly functioning
habitat goals identified in Table 7?"
A more important question not asked as part of effectiveness monitoring
is:
-
What is the appropriateness of the assumptions made which define
the habitat goals, and in turn, define the success of the PALCO HCP?"
As previously stated, many of the habitat conditions goals, such as those
for LWD and pool abundance, are not based upon, and in some cases, contradict
the most recent scientific literature. The key habitat condition goal table
also does not incorporate the maintenance and restoration of critical habitat
elements, such as key habitat types (e.g., off-channel rearing habitat)
for coho. Key habitat goals are hypotheses themselves, and need to be scientifically
tested and validated. A management goal or objective, which drives the
definition of a successful or unsuccessful plan, is appropriate only if
it is also being tested as a hypothesis (Collins and Pess, 1997b). In my
opinion, it is likely that the PALCO monitoring plan will be able to determine
the trend in properly functioning variables such as LWD volume and pool
abundance. However, the monitoring plan will, more than likely, not answer
a more fundamental question as to the appropriateness of the identified
goals, and how they relate to coho habitat and population levels. In my
opinion, the goals identified in Table 7 will likely maintain stream conditions
in a degraded state and result in significant adverse effects. More important,
the proposed HCP monitoring program will not attempt to determine the appropriateness
of these goals.
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Pages 105 through 108 — Section 2.2 - Monitoring,
2.2.3 - Monitoring Variables and Data Collection Methods, Effectiveness
monitoring
The goals set in the PALCO HCP, with respect to effectiveness monitoring
can be easily met. The HCP is designed to prevent the following:
1) loss of large woody debris recruitment from timber harvest in riparian
zones;
2) increases in water temperature from shade removal; and
3) increases in sediment inputs from surface erosion and landslides
that occur due to timer harvest.
The hypotheses identified for LWD is as follows:
1) Over the next two decades, there will be measurable increases in
LWD levels due to extreme" restrictions in riparian zones,
prohibition of stream cleaning, and tree blowdown.
2) PL will be able to harvest within the RMZ when basal areas are sufficient
to permit harvest.
Many of the preceding statements can, in my opinion, be attained with just
standard forest practice rules because it is relative to degraded habitat
conditions which have resulted due to minimal forest practice restrictions
over the last 50 years. There is no information given in the HCP to determine
how attaining the previously stated goals will lead to an increase in coho
habitat quality and population levels. In my opinion, these trends are
already occurring throughout the Pacific, but population levels continue
to decline (Lichatowich and others, 1995).
PALCO identifies many uncertainties associated with the effectiveness
of sediment control measures. These statements, however, do not reference
any of the scientific literature, and often times, contradict other portions
of the plan. For example, PALCO states the following:
The naturally high rate of sediment production makes it difficult
to monitor sediment production from management activities (Volume IV, Section
2.2.3, Page 106).
However, PALCO depends on the Washington State watershed analysis methodology
for mass wasting and surface erosion. One of the main assumptions in the
methods is that sediment production from management v. natural sources
can be documented. The methodology used by Pacific Watershed Associates
(PWA 1998a&b) also quantifies the difference between management induced
and non-management induced landslides. PALCO states this information on
page 70 of Volume IV:
The study (Pacific Watershed Associates study of sediment sources
in the lower Eel River) found that 20.1 percent of all landslides occurred
in unmanaged areas.
Simple subtraction would tell us that approximately 79.9% of the landslides
occurred due to forest management activities. PALCO goes on to state it
is not possible to determine a background" mass wasting rate
from the data, which contradicts the conclusion on page 80 that natural"
slides dominate sediment delivery to streams. The impacts to coho habitat
from management related landslides and natural landslides could then be
identified.
Methods do exist to differentiate between landslides due to management
activities v. natural disturbance. This is important, because effectiveness
monitoring goals for sediment can then be linked to natural background
levels, as opposed to present conditions. PALCO does state the following
with regards to this topic:
Within 5 years of completion of the baseline sediment study, a follow
up study will be conducted to determine how many slides have occurred in
the interim, their relationship to management activities, and how the rate
of management landslides compares to the baseline period (Volume IV, Section
2.2.3., Page 107).
This statement suggests that monitoring efforts will use current conditions
as a baseline, and compare them to future conditions. According to PALCO
baseline conditions are current conditions, which include a combination
of management related and natural landslide activity. Current conditions
have resulted in significant adverse effects to fish habitat conditions,
thus any comparison to what now exists is irrelevant. Maintenance of current
landslide and sediment production rates will continue to result in significant
adverse effects to coho habitat.
(Go Back To Top)
Pages 108 to 111 — Section 2.2 - Monitoring, 2.2.4
- Cumulative effects analysis
The PALCO HCP proposes to use trends monitoring to assess whether cumulative
effects are present". PALCO intends to implement trend monitoring
in the following manner:
1) Determine whether LWD, canopy/temperature, or sediment conditions
are getting worse over time.
2) If conditions are stable, or improve, then assume current practices
do not result in a change in stream condition that increase negative impacts
to aquatic resources.
3) If conditions become worse, then identify why this is the case, and
improve things".
4) Consult with local, state, and federal agencies.
5) Technical group reviews the results leading to consultation.
6) Identify data collection and analysis efforts the company should
undertake to clarify whether the observed result is due to management
activities.
7) If yes, then what can be done to reduce the cumulative effect?
8) What are the appropriate actions taken by the company?
9) Additional monitoring requirements.
PALCO intends to monitor dominant, direct effects, and not use a cumulative
effects monitoring tool because ..PL does not believe any cumulative
effects assessment methodology is available that can identify the incremental
impact of a given amount of management activity."
Trends monitoring of individual variables, such as fine sediment and
water temperature, is not a cumulative effects methodology because it does
not account for the accumulation of small effects of many forest practices.
A cumulative effects analysis includes the necessary assessment tools to
integrate different geomorphic inputs in space and time to fish habitat
and populations levels (Collins and Pess, 1997b). Assuming that dominant,
direct effects monitoring will substitute for such a methodology can result
in significant adverse effects from land use practices on fish habitat
going unnoticed.
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Pages 111 to 113 — Section 2.3 - Adaptive management
An adaptive management plan has four primary goals:
1) clear links between science and management;
2) clear and specific goals;
3) implementation management as an experiment, including monitoring
designed as a scientific experiment; and
4) institutional learning (Collins and Pess, 199b)
The PACLO HCP does not have a clear link between science and management.
Hypotheses, which define goals and management, are assumed to be correct.
This limits the ability of better" science to effect management
because if the goals are being met, then management does not change. Even
if scientific information could alter management prescriptions, clauses
within the HCP prevent this from happening. For example:
PL, at its discretion, may exceed the maximum limits contained in
this agency framework, but, as agreed to by the agencies, cannot be compelled
to do so.
PL can decide whether to use scientific information, when it results in
prescriptions that are greater than the maximum limit. This reduces the
ability for adaptive management to have an effect on what is implemented,
and is likely to result in the maintenance of degraded habitat conditions,
if the scientific literature determines more than the maximum is needed.
In addition, if the goals are not being met, then the technical evaluation
team needs to differentiate why this is happening before a change to the
management action occurs. Since there is no direct cause and effect link
between resource condition (e.g., a threshold such a number of key LWD
pieces) and management practice (e.g., riparian buffer and management options
within the RMZ) this cannot happen. PALCO defines the fourth criteria,
institutional learning, as consultation" with local, state,
and federal agencies. In my opinion, adaptive management will not occur,
due to the maximum limits associated with the HCP. This can result in significant
adverse effects to coho habitat, if science identifies areas or restrictions
larger than the maximum limits are needed.
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in-channel wood debris structures for bank protection and habitat restoration:
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Beechie, T., E. Beamer, L. Wasserman. 1994. Estimating coho salmon rearing
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