Skip to main content

Full text of "Management of ponderosa pine in even-aged stands in the Southwest"

See other formats


Historic,  Archive  Document 

Do  not  assume  content  reflects  current 
scientific  knowledge,  policies,  or  practices. 

■ 


urn  mm. 

Management  of  Ponderosa  Pine  in 
Even-Aged  Stands  in  the  Southwest 

Robert  R.  Alexander  and 
Carleton  B.  Edminster 


Research  Paper  RM-225 
Rocky  Mountain  Forest  and 
Range  Experiment  Station 
Forest  Service 

U.S.  Department  of  Agriculture 


Abstract 

Potential  production  of  ponderosa  pine  in  the  Southwest  is 
simulated  for  various  combinations  of  stand  density,  site  index,  age, 
and  thinning  schedule.  Such  estimates  are  needed  to  project  future 
development  of  stands  managed  in  different  ways.  . 


Plant  a  tree!  Mark  the  75th  birthday  of  the  Forest  Service 
by  giving  a  living  gift  to  future  generations. 


Cover  Photo.— Second-growth  ponderosa  pine  on  site  index  60 
lands  (Meyer  1961)  thinned  to  a  GSL  of  80,  Taylor  Woods  near 
Flagstaff,  Ariz.  Stand  was  about  45-years  old  when  thinned  in 
1962. 


USDA  Forest  Service 
Research  Paper  RM-225 


December  1980 


3L^ 

Management  of  Ponderosa  Pine  in 
Even-Aged  Stands  in  the  Southwest  * 


Robert  ^Alexander,  Chief  Silviculturist 
and 

Carleton  B.jEdminster,  Mensurationist 
Rocky  Mountain  Forest  and  Range  Experiment  Station1 


'Headquarters  is  in  Fort  Collins,  in  cooperation  with  Colorado  State  University. 


Contents 


Page 


Silviculture  of  Southwestern  Ponderosa  Pine   1 

Establishment  of  Regeneration   1 

Need  for  Early  Precommercial  Thinning   2 

Estimates  of  Growth  Under  Intensive  Management   2 

Diameter  Growth   3 

Height  Growth   3 

Basal  Area  Growth   3 

Total  Cubic-Foot  Volume  Increment   4 

Board-Foot  Volume  Increment   5 

Maximizing  Board-Foot  Volume  Yields   6 

Tradeoffs  to  Increase  Values  of  Other  Resources   8 

Management  Caution   9 

Literature  Cited   10 

Appendix   11 


Management  of  Ponderosa  Pine  in 
Even-Aged  Stands  in  the  Southwest 

Robert  R.  Alexander  and  Carleton  B.  Edminster 


Silviculture  of  Southwestern  Ponderosa  Pine 

Southwestern  ponderosa  pine2  (Firms  ponderosa 
Laws]  cover  type  occupies  the  largest  area  of  commer- 
cial forest  land  in  Arizona  and  New  Mexico  (Choate 
1966.  Spencer  1966).  It  is  less  extensive  in  south- 
western Colorado  and  southern  Utah  (Choate  1965. 
Miller  and  Choate  1964).  Ponderosa  pine  forests  in  the 
Southwest  occur  between  6.000  and  8.500  feet  eleva- 
tion, but  reach  maximum  development  between  7,000 
and  7.800  feet,  where  they  are  the  climax  forests 
(Schubert  1974). 

Southwestern  ponderosa  pine  forests  were  first  cut 
during  the  Gold  Rush  of  the  mid-1800's.  Commercial 
cutting  began  with  construction  of  the  transcontinental 
railroad  during  the  late  1800's.  Since  then,  ponderosa 
pine  forests  have  provided  a  variety  of  wood  products, 
forage  for  livestock,  and  habitat  for  a  variety  of 
wildlife.  Today  other  uses  are  becoming  important. 

How  these  forests  are  managed  affects  all  resources 
and  uses.  For  example,  if  timber  production  is  the 
primary  objective,  higher  growing  stock  levels  (GSL)3 
should  be  maintained,  but  forage  production  and  water 
yields  can  be  substantially  increased  only  at  lower 
GSL's.  Low  to  medium  GSL's  are  generally  considered 
necessary  to  improve  developed  recreational  oppor- 
tunities and  enhance  foreground  esthetics.  Wildlife 
habitat  varies  from  uncut  to  open  forests.  Improvement 
of  middleground  and  background  esthetics  generally 
requires  a  combination  of  open,  low  stocking  and  high 
stocking  levels  that  provide  contrasts. 

Although  land  managers  must  increasingly  direct 
their  practices  toward  multiple  uses,  these  practices 
must  be  based  on  sound  silvicultural  principles  of  the 
forest  type  involved.  Land  managers  must  understand 
the  tradeoffs  between  the  timber  resource  and  other 
physical,  social,  and  economic  considerations. 

In  the  past,  southwestern  ponderosa  pine  has  been 
under  extensive  management.  Harvesting  practices 
have  generally  been  limited  to  "loggers  selection"  or 

2Southwestern  ponderosa  pine  as  described  here  does  not  in- 
clude the  Front  Range  of  Colorado  and  Wyoming. 

3Growing  stock  level  (GSL)  is  defined  as  the  residual  square 
feet  of  basal  area  when  average  stand  diameter  is  10  inches  d.b.h. 
or  more.  Basal  area  retained  in  a  stand  with  an  average  diameter 
of  less  than  10  inches  is  less  than  the  designated  level  (Myers 
1971,  Edminster  1978).  Tables  A-1.  A-2,  and  A-3  in  the  appendix 
give  the  basal  area,  number  of  trees,  and  square  spacing  in 
stands  with  average  diameters  after  thinning  of  2  to  10  inches,  for 
GSL  levels  40  to  160. 


sanitation  salvage  and  improvement  selection  cutting 
that  removed  trees  in  a  series  of  cuts  on  an  individual 
or  group  basis.  Cutover  areas  were  allowed  to  restock 
naturally  regardless  of  the  time  required  or  the  stock- 
ing achieved.  Today,  management  intensity  has  in- 
creased, and  managers  are  concerned  with  (1)  prompt 
restocking  of  cutover  areas  with  a  new  stand,  (2)  in- 
creasing the  growth  rate  of  the  new  stand  by  control  of 
stand  density,  and  (3)  improving  quantity  and  quality  of 
yields  by  periodic  thinning  to  maintain  stocking  control 
and  growth  rates  and  reduce  mortality. 

In  old  growth  stands,  average  annual  net  increment 
varies  from  25  to  90  fbm  per  acre  because  of  under- 
stocking or  overstocking  and  high  mortality  associated 
with  old-growth  timber  (Pearson  1950).  Under  intensive 
even-aged  management,  annual  net  growth  can  be  in- 
creased to  100  to  300  fbm  per  acre  (Edminster  1978). 

Stand  density  control  offers  the  greatest  opportunity 
for  increasing  wood  production  by  increasing  growth 
and  reducing  mortality,  but  harvested  stands  must  be 
replaced  promptly  to  reduce  time  required  to  reach 
maximum  yields.  Ponderosa  pine  regeneration  in  the 
Southwest  has  been  notoriously  slow,  and  some  areas 
have  remained  unstocked  or  poorly  stocked  for  50 
years  or  longer.  Periods  of  10  to  30  years  are  more 
common,  but  they  still  are  not  compatible  with  rota- 
tions of  80  to  120  years.  Low  stumpage  values  have  also 
hindered  intensive  management.  Improving  stumpage 
values  and  better  understanding  of  natural  and/or  ar- 
tificial regeneration  allows  forest  managers  to  do  the 
cultural  work  necessary  to  increase  timber  production. 

Establishment  of  Regeneration 

Southwestern  ponderosa  pine  forests  can  be  main- 
tained as  productive  forests  under  an  even-aged 
management  system.  A  two-cut  shelterwood  method  is 
most  appropriate  for  converting  even-aged,  old-growth 
stands  to  managed  even-aged  stands  (Schubert  1973). 
Uneven-aged,  old-growth  stands  require  at  least  a 
three-cut  shelterwood  that  may  incorporate  features  of 
sanitation-salvage  and  improvement  selection  methods 
for  conversion  to  managed,  even-aged  stands.  An 
uneven-aged  management  system  which  includes  in- 
dividual tree  selection  and  group  selection  cutting 
methods  is  also  appropriate  for  use  in  ponderosa  pine 
stands.  They  are  not  discussed  in  this  paper  because 
suitable  growth  and  yield  prediction  tools  are  not 
available  for  managed,  uneven-aged  stands. 


1 


Natural  regeneration  of  ponderosa  pine  will  be  slow 
to  establish  and  poorly  distributed  under  any  cutting 
method  if  any  of  the  following  requirements  are  not  met 
(Schubert  1974): 

1.  A  large  supply  of  viable  seed. 

2.  A  well  prepared  seedbed. 

3.  A  site  free  of  competing  vegetation. 

4.  A  low  population  of  seed-eating  animals. 

5.  Sufficient  soil  moisture. 

6.  Protection  from  trampling  and  browsing  and  cer- 
tain insects. 

If  cutover  stands  remain  unstocked  or  poorly  stocked 
more  than  5  years  after  final  harvest,  the  manager 
must  take  action  under  the  regulations  of  the  National 
Forest  Management  Act  of  1976  to  artificially  regen- 
erate the  areas.  Schubert  (1974)  summarized  guide- 
lines for  planting  and  direct  seeding  of  southwestern 
ponderosa  pine. 

Schubert  (1974)  recommends  planting  at  least  680 
trees  per  acre.  This  should  provide  a  stocking  of  340 
trees  per  acre  when  average  stand  diameter  reaches 
5  inches  d.b.h.,  which  is  GSL  80.  However,  if  ponderosa 
pine  is  to  be  managed  at  higher  GSL's,  a  minimum  of 
1,000  to  1,200  trees  per  acre  should  be  planted. 

Need  for  Early  Precommercial  Thinning 

Establishing  a  new  stand  is  only  the  beginning.  Trees 
must  have  room  to  grow  to  reach  merchantable  size  in 
a  reasonable  amount  of  time.  Where  ponderosa  pine 
has  regenerated  well  naturally  in  the  Southwest, 
reproduction  is  often  overly  dense — the  1919  seedling 
crop  is  a  notable  example.  At  Taylor  Woods,  on  the 
Fort  Valley  Experimental  Forest  in  Arizona,  stands 
with  an  average  of  5,800  stems  per  acre  reached  an 
average  stand  diameter  of  2.6  inches  in  43  years,  and 
more  than  one-third  of  a  120-year  rotation  has  passed 
without  any  usable  wood  production  (Schubert  1971). 
For  acceptable  growth  rates,  precommercial  thinning 
is  needed  to  reduce  stand  density  to  1,000  to  1,200 
stems  per  acre  before  age  10  years. 

When  adequate  numbers  of  well  distributed  seed- 
lings become  established  within  5  years  after  the  seed- 
cut  of  a  shelterwood  method,  the  removal  cut  should  be 
made  promptly  to  avoid  suppression.  In  stands  infested 
with  dwarf  mistletoe,  the  longer  the  overwood  remains 
in  place,  the  greater  is  the  probability  of  transmitting 
the  parasite  to  the  new  stand. 

Estimates  of  Growth 
Under  Intensive  Management 

Intensive  management  of  southwestern  ponderosa 
pine  forests  provides  many  opportunities  for  increas- 
ing usable  wood  production,  but  estimates  of  future 
stand  development  under  various  management  regimes 
are  needed. 


Information  available  on  the  growth  of  ponderosa 
pine  from  sapling  stage  to  final  harvest  under  even- 
aged  management  with  a  shelterwood  cut  is  provided 
by  field  and  computer  simulation  procedures  devel- 
oped by  Myers  (1971)  and  Myers  et  al.  (1976)  and  re- 
fined by  Edminster  (1978).  The  procedures  were 
developed  from  field  data  on  past  growth  as  related  to 
stand  density,  age,  and  site  quality. 

The  modeling  concept  used  in  these  programs  holds 
that  the  whole  stand  is  the  primary  model  unit, 
characterized  by  average  values.  The  equations  upon 
which  the  growth  and  yield  simulations  are  based  are 
given  in  Myers  et  al.  (1976).  The  programs  project 
stand  development  by  consecutive,  10-year  periods  and 
include  relationships  to  project  average  stand 
diameter,  average  dominant  and  codominant  height, 
and  number  of  trees  per  acre.  Average  diameter  at  the 
end  of  a  projection  period  is  a  function  of  average 
diameter  at  the  beginning  of  the  period,  site  index,  and 
basal  area  per  acre.  Periodic  average  dominant  and 
codominant  height  growth  at  managed  stand  densities 
is  a  function  of  age  and  site  index.  Periodic  mortality 
is  a  function  of  average  diameter  and  basal  area  per 
acre.  Adjustments  are  made  to  the  growth  and  mortal- 
ity functions  to  account  for  the  effects  of  dwarf 
mistletoe  infestation.  Stand  volume  equations  are  used 
to  compute  total  cubic  feet  per  acre;  factors  are  com- 
puted to  convert  this  to  merchantable  cubic  feet  and 
board  feet.  Prediction  equations  are  included  to 
estimate  the  effects  of  differing  intensities  of  thinning 
from  above  and  below  on  average  diameter,  average 
dominant  and  codominant  height,  trees  retained  per 
acre,  and  average  dwarf  mistletoe  rating  (Hawksworth 
1977). 

Yield  simulations  discussed  in  the  following  para- 
graphs were  made  to  the  same  hypothetical  initial 
stand  conditions  for  all  growth  parameters: 

1.  Average  total  age  at  first  thinning  is  30  years. 

2.  Average  stand  diameter  is  4.5  inches  d.b.h.4 

3.  Stand  density  is  1,000  trees  per  acre. 

4.  Site  index  is  50,  60,  70.  80.  and  90  at  base  age 
100  years  (Meyer  1961). 

5.  Dwarf  mistletoe  rating  is  0. 

6.  Projections  were  made  for  50  years  (stand  age 
80  years)  and  90  years  (stand  age  120  years). 

7.  Thinnings  from  below  were  made  every  20  and 
30  years  to  GSL's  of  40,  60,  80,  100,  120,  140, 
and  160.  Initial  and  subsequent  entries  were 
made  to  the  same  GSL. 

8.  A  two-cut  shelterwood  option  was  used.  The  seed 
cut  was  made  20  years  before  final  cut  and  re- 
tained 50%  of  the  subsequent  GSL. 

9.  Minimum  size  for  inclusion  in  board-foot  volume 
determination  was  10  inches  d.b.h.  to  a  variable 
top  diameter.  Stand  volumes  were  determined 
from  tables  prepared  by  Myers  (1963). 

10.  All  entries  were  made  as  scheduled,  even  though 
all  thinnings  could  be  precommercial. 

*  Average  stand  diameter  is  the  diameter  of  the  tree  of  average 
basal  area;  it  is  not  the  average  of  all  the  tree  diameters. 


2 


Diameter  Growth 


Periodic  mean  annual  diameter  growth  of  southwest- 
ern ponderosa  pine  is  related  to  stand  density  and  site 
quality,  but  is  affected  little  by  the  cutting  cycles 
tested.  Cutting  cycles  do  influence  average  stand 
diameter,  however,  because  thinning  from  below  in- 
creases average  diameter  at  each  entry.  Actual  basal 
area  in  a  stand  with  an  average  diameter  of  less  than 
10  inches  d.b.h.  continues  to  increase,  because  peri- 
odic thinning  does  not  reduce  basal  area  to  a  fixed 
(GSL)  amount  until  an  average  stand  diameter  of  10 
inches  d.b.h.  is  reached.  Consequently,  the  rate  of 
diameter  growth  for  a  given  GSL  is  not  constant  over 
time  and  is  essentially  a  negative  exponential  function 
of  basal  area  per  acre  in  the  program.  In  contrast,  peri- 
odic diameter  growth  is  a  linear  function  of  site  index, 
so  that  differences  in  diameter  growth  resulting  from 
site  quality  are  constant  throughout  the  range  of  GSL's 
and  rotations  examined. 


26  - 


4  - 


CO 
CD 


O 

c 


■o 
c 

05 


22 


20 


18 


16 


14 


tS  12 


w 

CD 

cn 

CO 

»— 

> 
< 


10 


30 


50 


SI  90 


30 


50 


70 

Age  (years) 


90  100 


120 


Figure  1.— Estimated  average  stand  diameter  of  southwestern 
ponderosa  pine  in  relation  to  age  for  different  site  classes  at 
GSL  100,  with  a  20-year  thinning  interval  and  120-year  rotation. 


70  90 
Age  (years) 


100 


120 


Figure  2.— Estimated  average  stand  diameter  of  southwestern 
ponderosa  pine  in  relation  to  age  and  GSL  on  site  index  70 
lands  with  a  20-year  thinning  interval  and  120-year  rotation. 

Growth  rates  and  changes  in  diameter  resulting  from 
thinning  frequency  were  examined  to  determine 
average  size  of  trees  relative  to  rotation  age.  For  ex- 
ample, at  GSL  100  with  a  20-year  cutting  cycle,  trees 
reach  average  stand  diameters  of  12.3  to  14.4  inches 
d.b.h.  after  80  years;  and  16.4  to  20.7  inches  d.b.h. 
after  120  years  for  the  range  of  sites  tested  (fig.  1).  On 
an  average  site  (index  70),  with  a  20-year  cutting  cycle, 
mean  stand  diameters  reached  10  inches  d.b.h.  at  50  to 
88  years  of  age  for  the  range  of  GSL's  40  to  160  (fig.  2). 


Height  Growth 

Periodic  mean  annual  height  growth  of  ponderosa 
pine  increases  with  site  index  and  decreases  with  age, 
but  is  unaffected  by  GSL's  or  cutting  cycles.  However, 
because  fewer  and,  therefore,  taller  trees  are  left  after 
each  thinning  from  below,  the  mean  height  of  the  domi- 
nant and  codominant  trees  is  increased  slightly  at  each 
entry.  The  increase  is  positively  correlated  with  thin- 
ning frequency  and  negatively  correlated  with  GSL. 


Basal  Area  Growth 

Periodic  mean  annual  basal  area  increment  is 
related  to  growing  stock  level,  site  quality,  frequency 
of  thinning,  and  rotation  age.  Because  actual  basal 
area  continues  to  increase  in  a  stand  until  average 
stand  diameter  reaches  10  inches  d.b.h.  and  thinning 
reduces  basal  area  to  a  fixed  amount  (GSL),  the  rate  of 
basal  area  growth  for  a  given  GSL  is  not  constant  over 


3 


Table  1  .  —  Estimated  total  cubic  foot  volume  production  per  acre 
of  southwestern  ponderosa  pine  in  relation  to  growing  stock 
level,  rotation  age.  cutting  cycle,  and  site  index 


Table  2.  — Estimated  mean  annual  total  cubic  foot  volume  incre- 
ment per  acre  of  southwestern  ponderosa  pine  in  relation  to 
growing  stock  level,  rotation  age,  cutting  cycle,  and  site  index 


Rotation 
age 

Cutting 
cycle 

Growing  stock  level 

Rotation 
age 

Cutting 
cycle 

Growing  stock  level 

40 

60 

80 

100  120 

140 

160 

40 

60 

80     100  120 

140 

160 

thousand  cubic  feet 

 cubic  feet  

  years   

 years  

Site  index  50 

Site  index  50 

9  17 

9  A'i 

Z.40 

2  fift 

2  88     ft 00 

£-  .KJkJ           \J  .\J\J 

ft  OP. 

o.  1  o 

ftn 
ou 

9n 

9fi  fi 

ftn  a 

OU.4 

ftft  R      ftfi  n      ft7  R 

OO.J        OU.U        O  /  .J 

ftft  9 
oO .  c. 

ftQ  1 

oy.  i 

1  00 

I  £U 

ft  OA 

ft  R7 
J.Dl 

4.08 

4.39  4.60 

4.  1  4 

A  R9 

1  00 

I  ^1U 

9fi  ft 

C-  O .  O 

ftn  fi 

OU.U 

ft4  n      ftfi  fi      ftft  ft 

04.U        OU.U  OO.O 

ftQ  R 
oy.o 

AO  9 
4U.Z 

P.0 

OU 

ftn 

ou 

2.20 

2.53 

2.72 

2.87  3.00 

3.10 

3.13 

ftn 

ou 

ou 

27.5 

31.6 

34.0     35.9  37.5 

38.8 

39.1 

120 

3.14 

3.76 

4.21 

4.45  4.60 

4.67 

4.69 

120 

26.2 

31.3 

35.1     37.1  38.3 

38.9 

39.1 

Site 

indpx  fiO 

Site  index  60 

80 

20 

0  Rft 

o  Qft 

3.27 

3.54  3.74 

ft  ftfi 
o.oo 

ft  Q4 
O.o4 

an 

ou 

20 

fti  fi 

O  I  .  u 

ftfi  fi 

OU.U 

AO  Q      AA  0      4fi  7 

4U.3        44.L  4U./ 

4ft  0 

40.^_ 

AO,  9 
4y 

1  20 

ft  rr 
o.oo 

A  AA 

5.02 

5.44  5.82 

fi  00 

o.uu 

fi  OR 
O.UO 

1  00 

I  £.U 

ftn  r 

JU.  J 

ft7  0 

O  f  .U 

41  ft      4R  ft      4ft  R 

4  I  .O        4J.O  40.J 

Rn  o 

OU.U 

Rn  7 

OU.  / 

80 

ftO 

2.62 

3.03 

3.36 

3.57  3.73 

3.89 

3.99 

RO 

ftO 

32.8 

37.9 

42.0     44.6  46.6 

48.6 

49.9 

120 

3.76 

4.58 

5.23 

5.64  5.94 

6.12 

6.30 

120 

31.3 

38.2 

43.6     47.0  49.5 

51.0 

52.5 

Site 

index  70 

Site  index  70 

80 

20 

ft  nn 

ft  R9 

3.91 

4.19  4.49 

A  70 

4 .  /  U 

a  ftn 

4 .  OU 

80 

20 

ft7  R 
o  /  .o 

AA  0 

44. U 

4ft  Q      R9  4      Rfi  1 

40.3        Oil. 4        OU.  I 

Rft  7 
oo.  / 

fin  o 

OU.U 

120 

a  ftn 

R  9ft 

6.05 

6.66  7.20 

7  Rfi 

7  fift 
(  -DO 

1 20 

ftR  ft 

OJ.O 

Ad  0 

44 .  U 

Rn  4    rr  r    fin  n 

OU.4        OO.O  UU.U 

fift  n 

uo.u 

fiA  O 
U4 .  U 

80 

30 

3.14 

3.61 

3.99 

4.30  4.56 

4.76 

4.84 

80 

10 

39.2 

45.1 

49.9     53.8  57.0 

59.5 

60.5 

120 

4.52 

5.45 

6.28 

6.86  7.37 

7.73 

7.97 

120 

37.7 

45.4 

52.3     57.2  61.4 

64.4 

66.4 

Site 

index  80 

Site  index  80 

80 

20 

Q  AA 

4.  IO 

4.63 

4.98  5.26 

R  4fi 

J.4D 

R  fift 
J.DJ 

80 

20 

4ft  n 

40.U 

R1  fi 
O  !  .U 

R7  Q      R9  9      RR  ft 
o  /  .0       \jeL.iL  OO.O 

fift  9 

7n  a 

l  U.4 

120 

4  94 

fi  1ft 

u .  i  o 

7.18 

7.97  8.62 

q  nn 

J.Uu 

Q  94 

120 

41  0 

R1  R 

RQ  ft      fifi  4  71ft 
Oo.O       OU.4        /  I  .O 

7R  n 
/  o .U 

77  n 

(  (  .u 

80 

30 

3.70 

4.21 

4.67 

5.11  5.41 

5.56 

5.67 

80 

30 

46.2 

52.6 

58.4     63.9  67.6 

69.5 

70.9 

120 

5.32 

6.50 

7.44 

8.18  8.76 

9.16 

9.28 

120 

44.3 

54.2 

62.0     68.2  73.0 

76.3 

77.3 

Site 

index  90 

Site  index  90 

80 

20 

3.95 

4.69 

5.35 

5.87  6.24 

6.46 

6.56 

80 

20 

49.4 

58.6 

66.9     73.4  78.0 

80.8 

82.0 

120 

5.63 

7.08 

8.35 

9.35  10.15 

10.51 

10.75 

120 

46.9 

59.0 

69.6     77.9  84.6 

87.6 

89.6 

80 

30 

4.24 

4.95 

5.59 

6.06  6.33 

6.48 

6.52 

80 

30 

53.0 

61.9 

69.9     75.8  79.1 

81.0 

81.5 

120 

6.10 

7.49 

8.69 

9.55  10.08 

10.56 

10.99 

120 

50.8 

62.4 

72.4     79.6  84.0 

88.0 

91.6 

time.  Periodic  basal  area  increment  increases  as  GSL 
increases  from  40  to  140,  but  the  rate  of  increase 
diminishes  as  stand  density  increases.  At  GSL's  above 
140,  basal  area  increment  declines  on  all  sites. 
Periodic  mean  basal  area  growth  also  increases  as  site 
index  increases.  Moreover,  the  differences  in  basal 
area  growth  between  site  classes  become  progressive- 
ly greater  as  GSL  increases.  Periodic  mean  basal  area 
increment  is  greater  with  a  30-year  cutting  cycle  than 
with  a  20-year  entry  at  all  rotation  ages  and  GSL's 
examined. 


Total  Cubic-Foot  Volume  Increment 

Cubic-foot  volume  production  is  related  to  stand 
density,  site  quality,  rotation  age,  and  frequency  of 
thinning  (table  1).  Although  mean  annual  cubic  volume 
increment  increases  as  GSL  and  site  index  increase, 
the  rate  of  increase  diminishes  as  GSL  increases,  while 
the  differences  in  growth  between  site  classes  becomes 
greater  (fig.  3)  (table  2).  Cubic  volume  increment  will 
apparently  continue  to  increase  slightly  at  GSL's  above 


CO 

o 


3 


CD 

IE  I  1  1  I  I  1  I  J  

40        60        80        100       120       140  160 
Growing  stock  level 


Figure  3.— Estimated  mean  annual  total  cubic-foot  volume  incre- 
ment per  acre  of  southwestern  ponderosa  pine  in  relation  to 
GSL  and  site  quality  for  a  120-year  rotation  with  a  20-year  thin- 
ning interval. 


4 


Table  3.  —  Estimated  total  board  foot  volume  production  per  acre 
of  southwestern  ponderosa  pine  in  relation  to  growing  stock 
level,  rotation  age,  cutting  cycle,  and  site  index  (trees  10  inches 
d.b.h.  and  larger  to  a  variable  top  diameter) 


Rotation  Cutting   Growing  stock  level  

age       cycle      40      60      80     100     120     140  160 


Table  4.  —  Estimated  mean  annual  board-foot  volume  increment 
per  acre  of  southwestern  ponderosa  pine  in  relation  to  grow- 
ing stock  level,  rotation  age.  cutting  cycle,  and  site  index  (trees 
10  inches  d.b.h.  and  larger  to  a  variable  top  diameter) 


Rotation  Cutting   Growing  stock  level  

age       cycle      40       60       80     100     120     140  160 


years  thousand  board  feet    years  —  board  feet  - 

Site  index  50  Site  index  50 


80 

20 

3.36 

3.68 

4.00    4.40  4.40 

4.16 

3.68 

80 

20 

42 

46 

50 

55 

55 

52 

46 

120 

8.40 

9.84 

10.80  11.28  11.28 

10.56 

9.60 

120 

70 

82 

90 

94 

94 

88 

80 

80 

30 

3.28 

3.60 

3  84    4  08    3  92 

3.60 

3.04 

80 

30 

41 

45 

48 

51 

49 

45 

38 

120 

8.40 

9.84 

10.56  10.92  10.80 

9.96 

8.64 

120 

70 

82 

88 

91 

90 

83 

72 

Site  index  60 

Site  index  60 

80 

20 

4.48 

5.04 

5.44    5.76  6.00 

6.00 

5.76 

80 

20 

56 

63 

68 

72 

75 

75 

72 

120 

10.92 

12.72 

14.16  15.24  15.60 

15.36 

15.00 

120 

91 

106 

118 

127 

130 

128 

125 

80 

30 

4.40 

4.80 

5  20    5  44    5  68 

5  52 

5  20 

80 

30 

55 

60 

65 

68 

71 

69 

65 

120 

10.68 

12.72 

13.80  14.52  14.76 

14.64 

14.40 

120 

89 

106 

115 

121 

123 

122 

120 



Site  index  70 

Site  index  70 

80 

20 

5.60 

6.24 

6.72     7.20  7.60 

8.00 

8.16 

80 

20 

70 

78 

84 

90 

95 

100 

102 

120 

13.08 

15.72 

17.64  18.96  20.04 

20.64 

21.00 

120 

109 

131 

147 

158 

167 

172 

175 

80 

30 

5.44 

6.16 

6.64     7.04  7.28 

7.28 

7.20 

80 

30 

68 

77 

83 

88 

91 

91 

90 

120 

13.56 

15.96 

17.88   19.08  19.92 

20.16 

20.40 

120 

113 

133 

149 

159 

166 

168 

170 

Site  index  80 

Site  index  80 

80 

20 

6.80 

7.68 

8.48     9.04  9.44 

9.92 

10.24 

80 

20 

85 

96 

106 

113 

118 

124 

128 

120 

15.96 

18.96 

21.48  23.40  25.20 

26.64 

27.36 

120 

133 

158 

179 

195 

210 

222 

228 

80 

30 

7.04 

7.76 

8.40     8.96  9.20 

9.36 

9.44 

80 

30 

88 

97 

105 

112 

115 

117 

118 

120 

17.04 

19.68 

22.08  24.24  25.44 

26.04 

26.40 

120 

142 

164 

184 

202 

212 

217 

220 

Site  index  90 

Site  index  90 

80 

20 

8.08 

9.20 

10.24   11.04  11.84 

12.32 

12.64 

80 

20 

101 

115 

128 

138 

148 

154 

158 

120 

18.84 

23.16 

26.64  29.40  31.44 

32.76 

33.60 

120 

157 

193 

222 

245 

262 

273 

280 

80 

30 

8.56 

9.28 

10.16  10.88  11.20 

11.52 

11.76 

80 

30 

107 

116 

127 

136 

140 

144 

147 

120 

20.64 

23.64 

26.76  29.52  30.96 

31.92 

32.40 

120 

172 

197 

223 

246 

258 

266 

270 

160  on  sites  70  and  greater,  but  levels  off  or  declines  on 
site  indexes  less  than  70  at  GSL's  greater  than  160. 
Cubic  foot  growth  is  generally  unrelated  to  length  of 
rotation  or  cutting  cycle  at  all  GSL's  tested  when  site 
index  is  less  than  70.  On  site  index  70  and  greater 
lands,  cubic-volume  growth  is  greater  on  120-year  rota- 
tion at  GSL's  greater  than  60,  but  there  are  no  practi- 
cal differences  between  a  20-  and  30-year  cutting  cycle 
(table  2). 

Board-Foot  Volume  Increment 

Board-foot  volume  production  is  related  to  all  stand 
parameters  evaluated  (table  3).  Mean  annual  sawtim- 
ber  volume  growth  increases  as  stand  density  in- 
creases throughout  the  range  of  GSL's  on  site  index  80 
and  90  lands,  but  generally  levels  off  on  site  index  70 
lands  at  GSL  140,  and  declines  on  site  index  50  and  60 
lands  at  GSL's  100  and  120,  respectively  (fig.  4)  (table 
4). 

Board-foot  volume  growth  increases  with  site  qual- 
ity, and  the  differences  in  growth  between  site  classes 


g  50- 
c 

03 
<V 

^  I  I  1  1  1  '  I  

40        60        80       100       120       140  160 
Growing  stock  level 

Figure  4.  — Estimated  mean  annual  board  foot  volume  increment 
per  acre  of  southwestern  ponderosa  pine  in  relation  to  GSL 
and  site  quality  for  a  120-year  rotation  with  a  20-year  thinning 
interval. 


5 


becomes  greater  as  GSL  increases.  Throughout  the 
range  of  GSL's  tested,  average  annual  board-foot  incre- 
ment per  acre  is  always  greater  for  all  site  classes  on  a 
120-year  rotation  than  on  80-year  rotation  (fig.  5). 
There  are  no  practical  differences  in  board-foot 
volume  growth  between  20-  and  30-year  cutting  cycles 
for  the  range  of  site  indexes  and  GSL's  tested  (table  4). 


Maximizing  Board-Foot  Volume  Yields 

What  yields  can  be  expected  with  intensive  manage- 
ment of  southwestern  ponderosa  pine  to  maximize 
timber  production?  If  the  objective  is  to  integrate 
timber  production  with  other  resources  uses,  what  are 
the  timber  tradeoffs?  How  can  these  objectives  be  at- 
tained with  the  fewest  precommercial  thinnings? 

The  largest  volume  production  per  acre  (33,600  fbm) 
is  attained  on  site  index  90  lands,  at  GSL  160,  on  a 
120-year  rotation,  with  a  20-year  cutting  cycle  (table  3). 
These  stands  will  contain  about  72  trees  per  acre  with 
an  average  d.b.h.  of  nearly  17  inches  at  rotation  age 
(table  5). 


CD 
CD 

1  200 

o 


o  150 

i_ 

cd 
cl 

|  100 

CD 

E 

CD 
O 

E  50 
as 

C 
C 

CO 

c 

CO 
CD 


120  year  rotation 


80  year  rotation 


1  1 


40         60        80        100  120 
Growing  stock  level 


140 


160 


Figure  5.— Estimated  mean  annual  board-foot  volume  increment 
per  acre  of  southwestern  ponderosa  pine  on  site  index  70  lands 
with  a  20-year  thinning  interval  in  relation  to  GSL  and  rotation 
age. 


Table  5.  — Estimated  average  diameter  (inches)  and  number  of  trees  per  acre  of  southwestern 
ponderosa  pine  at  final  harvest  in  relation  to  growing  stock  level,  rotation  age,  cutting  cycle, 
and  site  index 


Growing  stock  level 


40 


60 


80 


100 


120 


140 


160 


Rotation  Cutting  No.  of  No.  of  No.  of  No.  of  No.  of  No.  of  No.  of 

age      cycle    trees  Diameter  trees  Diameter  trees  Diameter  trees  Diameter  trees  Diameter  trees  Diameter  trees  Diameter 


80 

20 

22 

16.5 

39 

14.8 

64 

13.3 

120 

9 

23.7 

18 

20.6 

29 

18.5 

80 

30 

24 

15.9 

45 

14.1 

72 

12.7 

120 

10 

22.9 

20 

19.6 

33 

17.6 

80 

20 

21 

17.0 

38 

15.3 

60 

13.9 

120 

9 

24.4 

17 

21.5 

27 

19.4 

80 

30 

23 

16.4 

42 

14.6 

67 

13.2 

120 

10 

23.5 

18 

20.7 

30 

18.5 

80 

20 

20 

17.5 

36 

15.8 

55 

14.5 

120 

8 

25.4 

15 

22.5 

25 

20.2 

80 

30 

21 

17.1 

39 

15.2 

63 

13.8 

120 

9 

24.8 

17 

21.7 

28 

19.2 

80 

20 

18 

18.3 

34 

16.4 

53 

15.0 

120 

7 

26.9 

14 

23.5 

22 

21.4 

80 

30 

20 

17.7 

37 

15.8 

61 

14.1 

120 

8 

25.8 

15 

22.7 

25 

20.4 

80 

20 

17 

18.9 

32 

16.9 

50 

15.5 

120 

7 

27.6 

13 

24.4 

21 

22.2 

80 

30 

20 

17.9 

36 

16.2 

55 

14.9 

120 

8 

26.6 

14 

23.7 

22 

21.6 

Site  index  50 


92 

12.3 

119 

11.5 

153 

10.8 

189 

10.2 

46 

16.4 

63 

15.3 

89 

13.9 

123 

12.6 

101 

11.7 

131 

11.0 

165 

10.4 

202 

9.8 

50 

15.9 

67 

14.9 

94 

13.6 

128 

12.4 

Site 

index  60 

83 

13.0 

111 

12.1 

145 

11.3 

180 

10.7 

40 

17.6 

56 

16.3 

77 

15.0 

105 

13.7 

92 

12.4 

124 

11.5 

155 

10.9 

192 

10.3 

45 

16.7 

62 

15.6 

82 

14.6 

109 

13.5 

Site 

index  70 

80 

13.3 

106 

12.6 

132 

12.0 

168 

11.2 

37 

18.5 

52 

17.1 

66 

16.2 

90 

14.9 

90 

12.7 

120 

11.9 

147 

11.4 

183 

10.7 

41 

17.6 

56 

16.5 

74 

15.5 

99 

14.3 

Site 

index  80 

77 

13.7 

100 

13.1 

130 

12.3 

154 

11.9 

34 

19.4 

46 

18.2 

62 

16.9 

79 

15.9 

85 

13.2 

110 

12.6 

142 

11.8 

174 

11.2 

38 

18.5 

50 

17.5 

68 

16.2 

87 

15.3 

Site 

index  90 

71 

14.4 

94 

13.6 

119 

13.0 

148 

12.3 

30 

20.7 

41 

19.2 

55 

18.0 

72 

16.8 

79 

13.8 

106 

13.0 

132 

12.4 

165 

11.7 

34 

19.5 

46 

18.3 

60 

17.3 

78 

16.2 

6 


Volume  production  substantially  declines  when  GSL 
is  reduced  below  160  on  site  index  70,  80,  and  90  lands. 
The  decline  is  greater  with  each  successive  reduction 
in  stand  density.  Maximum  volume  production  is  at 
GSL's  100  and  120,  on  site  index  50  and  60  lands,  re- 
spectively, with  a  20-year  cutting  cycle  (table  3)  (fig.  6). 

Table  3  also  shows  the  amount  volume  given  up  as 
GSL  is  reduced  from  the  level  of  maximum  production 
to  GSL  40  for  all  combinations  of  stand  parameters  ex- 
amined. Moreover,  it  shows  that  more  volume  can  be 
produced  over  the  same  time  span  with  120-year  rota- 
tions than  with  80-year  rotations.  For  example,  on  site 
index  90  lands,  maximum  board-foot  volume  produc- 
tion per  acre  from  two  120-year  rotations,  or  240 
years,  would  be  67,200  fbm,  compared  with  37,900  fbm 
on  three  80-year  rotations,  also  240  years. 

Whether  the  board-foot  volume  production  poten- 
tials can  be  achieved  depends  largely  on  how  much 
money  can  be  invested  in  thinning.  It  is  assumed  that 
once  a  stand  reaches  a  minimum  merchantable  size  of 
10  inches  average  d.b.h.,  market  conditions  permit  in- 
termediate thinnings  to  be  made  as  scheduled.  If 
economic  constraints  limit  managers  to  only  one  pre- 
commercial  thinning  in  the  life  of  the  stand,  their 
options  are  severely  restricted.  For  example,  on  site  in- 
dex 50  to  60  lands,  stand  density  must  be  reduced  to 
GSL  40  and  the  cutting  cycle  increased  to  30  years 
(table  6).  On  site  index  70  and  80  lands,  a  GSL  of  60  can 
be  maintained  with  a  30-year  cutting  cycle,  and  on  site 
index  90  lands,  a  GSL  of  100  can  be  maintained. 


Table  6.  — Number  of  precommercial  thinnings  of  southwestern 
ponderosa  pine  in  relation  to  growing  stock  level,  cutting  cycle, 
and  site  index 


Growing  stock  level 


cycle 

index 

40 

60 

80 

100 

120 

140 

160 

\/c> pi  re 
y  era  /  o 

o 

o 

o 

A 

A 

A 

60 

2 

2 

2 

3 

3 

4 

4 

70 

2 

2 

2 

3 

3 

3 

4 

80 

2 

2 

2 

2 

3 

3 

4 

90 

1 

1 

2 

2 

2 

3 

3 

30 

50 

1 

2 

2 

2 

3 

3 

3 

60 

1 

2 

2 

2 

2 

3 

3 

70 

1 

1 

2 

2 

2 

2 

3 

80 

1 

1 

2 

2 

2 

2 

2 

90 

1 

1 

1 

1 

2 

2 

2 

Thinnings  to  a  constant  GSL  have  been  assumed  up 
to  now.  However,  if  only  one  precommercial  thinning  is 
possible,  managers  can  increase  their  flexibility  by 
changing  GSL's  with  successive  reentries.  For  exam- 
ple, on  site  index  70  and  80  lands  with  a  30-year  cutting 
cycle,  stand  density  is  initially  reduced  to  GSL  60. 
At  the  time  of  the  second  thinning,  GSL  is  increased  to 
80,  and  increased  to  GSL  100  with  the  third  thinning. 
Volume  production  will  be  less  than  maximum,  but 
reasonably  close  to  the  volume  available  from  a  stand 
maintained  at  a  constant  GSL  100.  Attempts  to  raise 
the  GSL  to  100  at  the  time  of  the  second  entry  into  the 


Figure  6.— Second  growth  southwestern  ponderosa  pine  on  site  index  60  lands  (Meyer  1961) 
thinned  to  GSL  120,  Taylor  Woods  near  Flagstaff,  Ariz.  Stand  was  about  45  years  old  when 
thinned  in  1962. 


7 


stand  would  result  in  a  second  precommercial  thin- 
ning. By  following  this  procedure,  managers  can  in- 
crease GSL  on  site  index  50  and  60  lands  from  40  to  80. 

The  manager  has  another  option  if  only  one  precom- 
mercial thinning  is  possible.  The  initial  thinning  can  be 
made  on  schedule  and  the  second  entry  delayed  until 
the  stand  reaches  minimum  merchantable  size.  This 
will  increase  the  second  thinning  interval  to  40  years 
or  more,  increase  the  length  of  the  rotation,  and  result 
in  less  than  maximum  volume  production. 

Where  economic  conditions  permit  investment  of 
funds  in  two  precommercial  thinnings,  the  manager 
has  the  opportunity  to  maximize  timber  production  on 
site  index  50  to  90  lands,  with  30-year  thinning 
schedule. 


Tradeoffs  to  Increase  Values  of  Other  Resources 

Understory  vegetation  in  southwestern  ponderosa 
pine  is  an  important  forage  source  for  livestock  and  big 
game  animals,  but  as  overstory  density  increases,  the 
productivity  of  the  understory  decreases.  This  inverse 
relationship  is  generally  shown  to  be  curvilinear  (Pear- 
son 1964,  Jameson  1969,  Clary  1969).  Generally,  herb- 
age yields  on  productive  sites  can  vary  from  50  to  75 
pounds  per  acre  under  dense  timber  stands  (basal  area 
per  acre  of  140  square  feet)  to  1,000  to  1,200  pounds 
per  acre  on  moderately  grazed  open  grasslands  (Clary 
1975)  (fig.  7).  High  herbage  production  on  these  sites 
can  be  expected  in  clearcut  openings  until  new  tree 
regeneration  becomes  limiting.  Actual  changes  in  herb- 
age production  will  vary  considerably,  however, 
depending  upon  habitat  type,  successional  stage,  and 
past  grazing  history,  as  well  as  overstory  density. 

In  partially  cut  or  thinned  stands,  herbage  produc- 
tion generally  is  substantially  greater  than  under  uncut 
stands  only  when  stand  density  is  reduced  to  70  square 
feet  or  less  of  basal  area  per  acre,  and  differences  in 
herbage  production  become  progressively  greater  as 


^1,000 


600 


20        40         60        80       100       120  140 
Ponderosa  pine  basal  area  (square  feet  per  acre) 

Figure  7.— Relation  of  herbage  production  to  basal  area  of 
southwestern  ponderosa  pine  on  the  Wild  Bill  range  north  of 
Flagstaff,  Ariz.  (Clary  1975). 


!k  500 


CD 
CL 

(/) 

T3 
C 
3 

o 

CL 


400  - 


o  300 
o 

2  200 

Q- 
CD 

cn 

.2  100- 

CD 

X 


Thinned  area 
Unthinned  area 


J  L 


0        20       40       60       80      100      120     140  160 
Basal  area  (square  feet  per  acre) 

Figure  8.— Relationship  between  herbage  production  and  basal 
area  of  southwest  ponderosa  pine  on  thinned  and  thinned 
areas,  Beaver  Creek  Watershed  near  Flagstaff,  Ariz.  (Clary  and 
Ffolliott  1966). 

stand  density  in  the  thinned  stands  is  reduced  to  20 
square  feet  of  basal  area  per  acre  (Clary  and  Ffolliott 
1966,  Pearson  1967)  (fig.  8).  Moreover,  herbage  pro- 
duction under  partially  cut  or  thinned  stands  usually 
peaks  about  5  years  after  treatment  and  will  exceed 
production  in  uncut  stands  for  only  10  to  15  years 
(Reynolds  1962). 

Although  no  methods  or  data  are  available  to  quan- 
tify changes  in  understory  herbage  production  under 
southwestern  ponderosa  pine  for  the  range  of  GSL's, 
site  indexes,  rotation  ages,  and  cutting  cycles  ex- 
amined here,  some  general  conclusions  can  be  drawn. 
To  increase  average  herbage  production  to  even  mod- 
erate levels  (350  to  400  pounds  per  acre),  the  manager 
must  be  willing  to  reduce  basal  area  stocking  per  acre 
to  GSL  60  or  less  (fig.  9).  To  maintain  forage  production, 
the  manager  must  be  able  to  make  additional  cuts  in 
the  stand  at  intervals  of  at  least  every  20  years. 

Southwestern  ponderosa  pine  forests  yield  less 
water  than  subalpine  and  mixed  conifer  forests  (Rich 
and  Thompson  1974,  Leaf  1975).  The  proportion  of 
water  available  for  streamflow  (3  to  5  inches)  to 
precipitation  (20  to  25  inches)  is  low  because  of  high 
evapotranspiration  demand  from  vegetation  during  a 
long,  warm  growing  season,  and  the  variability  of 
precipitation  (Hibbert  1979).  Water  yield  is  derived 
mostly  from  snowmelt,  and  snowfall  regimes  are  highly 
variable  in  the  Southwest.  Streamflow  is  greatest  when 
winter  snowfall  is  sufficient  to  maintain  a  continuous 
snowpack  and  soil  moisture  is  recharged  during  the 
spring  melt.  Major  runoff  also  occurs  when  rain  falls 
on  snow.  Regimes  that  produce  intermittent  snowpack — 
snowfall  followed  by  dry  periods  that  melt  the  snow,  or 
years  of  light  snowfall — contribute  little  to  streamflow. 
Weather  from  snowmelt  to  July  is  usually  dry,  and  late 
summer  rains  only  partially  replenish  losses  from 
evapotranspiration. 

The  potential  for  increasing  streamflow  in  ponder- 
osa pine  forests  is  also  low.  The  largest  increases  (1  to 


8 


2  inches)  occur  when  timber  is  harvested  by  clearcut- 
ting  (Brown  et  al.  1974).  The  most  effective  pattern  of 
timber  harvest  for  increased  water  yields  in  ponderosa 
pine  forests  when  precipitation  is  largely  snow  and 
redistribution  by  wind  is  significant  is  to  clearcut 
about  30%  to  40%  of  a  drainage  in  small,  irregular- 
shaped  patches  about  five  times  tree  height  across,  in- 
terspersed with  uncut  patches  of  about  five  to  eight 
tree  heights  across  (Gary  1975).  If  snowfall  is  not 
significant  or  redistribution  of  snow  by  wind  is  not  a 
factor,  larger  clearcut  openings  are  more  effective  in 
increasing  streamflow.  In  this  case,  the  increase  in 
streamflow  is  largely  a  result  of  the  reduction  in  con- 
sumptive use  by  vegetation.  With  harvest  cutting 
methods  that  leave  a  residual  stand  or  thinning,  the  in- 
crease in  water  yield  will  be  less  than  with  clearcut- 
ting  and  generally  in  an  inverse  proportion  to  the 
amount  of  basal  area  left. 

Based  on  information  available  from  research, 
observations,  and  experience,  it  is  clear  that  stand 
density  must  be  reduced  to  and  maintained  at  low 
stocking  levels  (GSL's  of  60  or  less)  to  benefit  forage 
and  water  resources.  For  example,  on  site  index  80 
lands,  at  GSL  80,  with  a  120-year  rotation,  and  a 
20-year  thinning  schedule,  5,880  fewer  fbm  per  acre 
will  be  produced  than  at  GSL  160.  If  the  GSL  is  reduced 
to  40,  the  loss  in  volume  production  per  acre  is  11,400 


fbm.  Foreground  landscape  esthetics  and  developed 
and  dispersed  recreation  opportunities  are  generally 
improved  at  moderate  (GSL  80  to  100)  stocking  levels. 
Considerable  timber  volume  is  given  up,  however,  at 
both  low  to  moderate  stocking  levels. 

Middleground  and  background  landscapes  require 
combinations  of  cleared  openings,  high  and  low  stock- 
ing levels,  and  uncut  timber  to  provide  the  variety  and 
contrast  that  is  visually  pleasing.  Some  wildlife  species 
require  openings,  others  open-standing  timber,  while 
the  habitat  still  of  others  is  devastated  by  any  kind  of 
timber  cutting.  But  until  the  habitat  requirements  of 
specific  wildlife  species  are  better  known,  the  benefits 
and  losses  to  wildlife  cannot  be  determined  for  stand 
parameters  examined  here. 

Management  Caution 

This  simulation  program  estimates  growth  responses 
to  different  stand  parameters  that  appear  reasonable 
and  consistent  within  the  limits  of  current  knowledge, 
but  no  southwestern  ponderosa  pine  stand  has  been 
under  management  for  a  long  time,  and  simulation 
extends  beyond  the  limits  of  the  available  data  base. 
Comparisons  of  estimates  with  actual  values  from  plots 
established  to  provide  growth  information  will  be  need- 
ed to  verify  simulated  responses. 


Figure  9.— Second-growth  southwestern  ponderosa  pine  on  site  index  60  lands  (Meyer  1961) 
thinned  to  GSL  30,  Taylor  Woods  near  Flagstaff,  Ariz.  Stand  was  about  45  years  old  when 
thinned  in  1962. 


s 


Literature  Cited 

Brown,  Harry  E.,  Malchus  B.  Baker,  James  R.  Rogers, 
Warren  P.  Clary,  J.  L.  Kovner,  Frederic  R.  Larson, 
Charles  C.  Avery,  and  Ralph  E.  Campbell.  1972.  Op- 
portunities for  increasing  water  yields  and  other 
multiple-use  values  of  ponderosa  pine  forest  lands. 
USDA  Forest  Service  Research  Paper  RM-129,  36  p. 
Rocky  Mountain  Forest  and  Range  Experiment  Sta- 
tion, Fort  Collins,  Colo. 

Choate,  Grover  A.  1965.  Forests  in  Utah.  USDA  Forest 
Service  Resource  Bulletin  INT-4,  61  p.  Intermountain 
Forest  and  Range  Experiment  Station,  Ogden,  Utah. 

Choate,  Grover  A.  1966.  New  Mexico's  forest  resource. 
USDA  Forest  Service  Resource  Bulletin  INT-5,  60  p. 
Intermountain  Forest  and  Range  Experiment  Station, 
Ogden,  Utah. 

Clary,  Warren  P.  1969.  Increasing  sampling  precision 
for  some  herbage  variables  through  knowledge  of  the 
timber  overstory.  Journal  of  Range  Management 
22:200-201. 

Clary,  Warren  P.  1975.  Range  management  and  its  eco- 
logical basis  in  the  ponderosa  pine  type  of  Arizona: 
The  status  of  our  knowledge.  USDA  Forest  Service 
Research  Paper  RM-158,  35  p.  Rocky  Mountain 
Forest  and  Range  Experiment  Station,  Fort  Collins, 
Colo. 

Clary,  Warren  P.,  and  Peter  F.  Ffolliott.  1966.  Dif- 
ferences in  herbage-timber  relationships  between 
thinned  and  unthinned  ponderosa  pine  stands.  USDA 
Forest  Service  Research  Note  RM-74,  4  p.  Rocky 
Mountain  Forest  and  Range  Experiment  Station,  Fort 
Collins,  Colo. 

Edminster,  Carleton  B.  1978.  RMYLD:  Computation  of 
yield  tables  for  even-aged  and  two-storied  stands. 
USDA  Forest  Service  Research  Paper  RM-199,  26  p. 
Rocky  Mountain  Forest  and  Range  Experiment  Sta- 
tion, Fort  Collins,  Colo. 

Gary,  Howard  L.  1975.  Watershed  management  prob- 
lems and  opportunities  for  the  Front  Range 
ponderosa  pine  zone:  The  status  of  our  knowledge. 
USDA  Forest  Service  Research  Paper  RM-139,  32  p. 
Rocky  Mountain  Forest  and  Range  Experiment  Sta- 
tion, Fort  Collins,  Colo. 

Hawksworth,  Frank  G.  1977.  The  6-class  dwarf  mistle- 
toe rating  system.  USDA  Forest  Service  General 
Technical  Report  RM-48,  7  p.  Rocky  Mountain  Forest 
and  Range  Experiment  Station,  Fort  Collins,  Colo. 

Hibbert,  Alden  R.  1979.  Managing  vegetation  to  in- 
crease flow  in  the  Colorado  River  basin.  USDA 
Forest  Service  General  Technical  Report  RM-66,  27 
p.  Rocky  Mountain  Forest  and  Range  Experiment  Sta- 
tion, Fort  Collins,  Colo. 

Jameson,  Donald  A.  1967.  The  relationship  of  tree 
overstory  and  herbaceous  understory  vegetation. 
Journal  of  Range  Management  20:247-249. 

Leaf,  Charles  F.  1975.  Watershed  management  in  the 
Rocky  Mountain  subalpine  zone:  The  status  of  our 
knowledge.  USDA  Forest  Service  Research  Paper 
RM-107,  23  p.  Rocky  Mountain  Forest  and  Range  Ex- 
periment Station,  Fort  Collins,  Colo. 


Meyer,  Walter  H.  1961.  Yield  of  even-aged  stands  of 
ponderosa  pine.  U.S.  Department  of  Agriculture 
Technical  Bulletin  630,  59  p.  Washington,  D.C. 

Miller,  Robert  L.,  and  Grover  A.  Choate.  1964.  The 
forest  resource  of  Colorado.  USDA  Forest  Service 
Resource  Bulletin  INT-3,  55  p.  Intermountain  Forest 
and  Range  Experiment  Station,  Ogden,  Utah. 

Myers,  Clifford  A.  1963.  Volume,  taper,  and  related 
tables  for  southwestern  ponderosa  pine.  USDA 
Forest  Service  Research  Paper  RM-2,  24  p.  (Revised 
1972).  Rocky  Mountain  Forest  and  Range  Experiment 
Station,  Fort  Collins,  Colo. 

Myers,  Clifford  A.  1971.  Field  and  computer  pro- 
cedures for  managed-stand  yield  tables.  USDA 
Forest  Service  Research  Paper  RM-79,  24  p.  Rocky 
Mountain  Forest  and  Range  Experiment  Station,  Fort 
Collins,  Colo. 

Myers,  Clifford  A.,  Carleton  B.  Edminster,  and  Frank  G. 
Hawksworth.  1976.  SWYLD2:  Yield  tables  for  even- 
aged  and  two-storied  stands  of  southwestern  ponder- 
osa pine,  including  effects  of  dwarf  mistletoe.  USDA 
Forest  Service  Research  Paper  RM-163,  25  p.  Rocky 
Mountain  Forest  and  Range  Experiment  Station,  Fort 
Collins,  Colo. 

Pearson,  G.  A.  1950.  Management  of  ponderosa  pine  in 
the  Southwest.  U.S.  Department  of  Agriculture 
Monograph  6,  218  p.  Washington,  D.C. 

Pearson,  Henry  A.  1964.  Studies  of  forest  digestibility 
under  ponderosa  pine  stands.  Society  of  American 
Foresters  Proceedings  1964:71-73. 

Pearson,  Henry  A.  1967.  Forage  and  beef  production 
from  ponderosa  pine  range  in  the  Southwest,  p.  50.  In 
Abstracts  of  Papers,  20th  Annual  Meeting,  Ameri- 
can Society  of  Range  Management,  [Seattle,  Wash- 
ington February  14-17,  1967].  Journal  of  Range 
Management,  71  p. 

Reynolds,  Hudson  G.  1962.  Effect  of  logging  on 
understory  vegetation  and  deer  use  in  a  ponderosa 
pine  forest  of  Arizona.  U.S.  Department  of  Agri- 
culture, Forest  Service,  Rocky  Mountain  Forest  and 
Range  Experiment  Station,  Research  Note  80,  7  p. 
Fort  Collins,  Colorado. 

Rich,  Lowell  R.,  and  J.  R.  Thompson.  1974.  Watershed 
management  in  Arizona's  mixed  conifer  forests:  The 
status  of  our  knowledge.  USDA  Forest  Service  Re- 
search Paper  RM-130,  15  p.  Rocky  Mountain  Forest 
and  Range  Experiment  Station,  Fort  Collins,  Colo. 

Schubert,  Gilbert  H.  1971.  Growth  response  of  even- 
aged  ponderosa  pine  related  to  stand  density  levels. 
Journal  of  Forestry  69:857-860. 

Schubert,  Gilbert  H.  1973.  Southwestern  ponderosa 
pine.  p.  45-46.  In  Silvicultural  systems  for  the  major 
forest  types  of  the  United  States.  U.S.  Department  of 
Agriculture,  Agricultural  Handbook  445, 114  p. 

Schubert,  Gilbert  H.  1974.  Silviculture  of  southwestern 
ponderosa  pine:  The  status  of  our  knowledge.  USDA 
Forest  Service  Research  Paper  RM-123,  71  p.  Rocky 
Mountain  Forest  and  Range  Experiment  Station,  Fort 
Collins,  Colo. 

Spencer,  John  S.,  Jr.  1966.  Arizona's  forests.  USDA 
Forest  Service  Resource  Bulletin  INT-6,  56  p.  Inter- 
mountain Forest  and  Range  Experiment  Station, 
Ogden,  Utah. 


10 


Appendix 


Table  A-1.— Basal  areas  (square  feet  per  acre)  after  intermediate  cutting  in  relation  to  average 
stand  diameter  (inches)  and  growing  stock  level 


Average  stand  Growing  stock  level 


d.b.h.  after 
cutting 

40 

50 

60 

70 

80 

90 

100 

110 

120 

140 

160 

2 

6.0 

7.5 

9.1 

10.6 

12.1 

13.6 

15.1 

16.7 

18.2 

21.2 

24.2 

3 

11.8 

14.8 

17.7 

20.6 

23.6 

26.6 

29.5 

32.4 

35.4 

41.5 

47.4 

4 

17.6 

22.0 

26.4 

30.8 

35.2 

39.6 

44.0 

48.4 

52.8 

61.6 

70.4 

5 

23.4 

29.2 

35.0 

40.9 

46.7 

52.5 

58.4 

64.2 

70.0 

81.9 

93.6 

6 

28.3 

35.4 

42.4 

49.5 

56.6 

63.7 

70.8 

77.8 

84.9 

99.0 

113.2 

7 

32.7 

40.9 

49.1 

57.3 

65.5 

73.7 

81.9 

90.1 

98.2 

114.4 

130.8 

8 

36.2 

45.3 

54.4 

63.4 

72.5 

81.6 

90.6 

99.7 

108.8 

126.9 

145.0 

9 

38.8 

48.4 

58.1 

67.8 

77.5 

87.2 

96.9 

106.6 

116.2 

135.6 

155.0 

10  + 

40.0 

50.0 

60.0 

70.0 

80.0 

90.0 

100.0 

110.0 

120.0 

140.0 

160.0 

Table  A-2.— Number  of  trees  per  acre  in  relation  to  average  stand  diameter  (inches)  and  grow- 
ing stock  level 


Average  stand  Growing  stock  levels 


d.b.h.  after 
thinning 

40 

50 

60 

70 

80 

90 

100 

110 

120 

140 

160 

2 

277 

345 

418 

488 

553 

626 

692 

767 

836 

968 

1,107 

3 

241 

301 

360 

420 

481 

542 

601 

660 

721 

843 

964 

4 

202 

252 

302 

353 

403 

454 

504 

554 

605 

707 

808 

5 

172 

214 

257 

300 

342 

384 

428 

471 

513 

601 

687 

6 

144 

180 

216 

252 

288 

324 

361 

396 

432 

505 

577 

7 

122 

153 

184 

214 

245 

276 

306 

337 

367 

428 

489 

8 

104 

130 

156 

182 

208 

234 

260 

286 

312 

364 

415 

9 

88 

110 

132 

154 

175 

197 

219 

241 

263 

307 

351 

10 

73 

92 

110 

128 

147 

165 

183 

202 

220 

257 

293 

Table  A-3.— Average  distance  (feet)  between  residual  trees  in  relation  to  average  stand 

diameter  (inches)  and  growing  stock  level 


Average  stand  Growing  stock  level 


d.b.h.  after 
thinning 

40 

50 

60 

70 

80 

90 

100 

110 

120 

140 

160 

2 

12.5 

11.1 

10.2 

9.4 

8.8 

8.3 

7.8 

7.5 

7.2 

6.7 

6.3 

3 

13.4 

12.0 

11.0 

10.2 

9.5 

9.0 

8.5 

8.1 

7.8 

7.2 

6.7 

4 

14.7 

13.2 

12.0 

11.1 

10.4 

9.8 

9.3 

8.9 

8.5 

7.9 

7.3 

5 

15.9 

14.4 

13.0 

12.0 

11.3 

10.6 

10.1 

9.6 

9.2 

8.5 

8.0 

6 

17.4 

15.6 

14.4 

13.2 

12.3 

11.6 

11.0 

10.5 

10.0 

9.3 

8.7 

7 

18.9 

16.9 

15.4 

14.3 

13.3 

12.6 

11.9 

11.4 

10.9 

10.1 

9.4 

8 

20.5 

18.3 

16.7 

15.5 

14.5 

13.6 

13.0 

12.3 

11.8 

10.9 

10.2 

9 

22.3 

20.1 

18.2 

16.8 

15.8 

14.9 

14.1 

13.4 

12.9 

11.9 

11.1 

10 

24.4 

21.8 

20.1 

18.4 

17.2 

16.2 

15.4 

14.7 

14.1 

13.0 

12.2 

11 


A. 


T 


I         ■  i 

CO  s  c 
3  -d  • 
S   3   >>  ° 

CO  a  K  cn 

+3  aod 


i  "O  CO 

3  c  (h 

0  3  3 

M  CD  ^ 

CO  DO 

m  j  03 

CD  * 

-d  3  ft 


c  g 

CD 

•d  c 

E  _2 

TO  co 
W 

-a 

PQ  S, 


d 
o 

CD 
Ch 
CO 
CJ 


r-t  O 

^  CJ 

ID  tn 

CN  o 
CM  Ch 

Pd  .2 

ft  CO 
CO  h-h 
d 

CD 


3 
O 


CD  O 


TO  CD 

d  c 

rv  cc 

^  co 

h-h  O 

ch  u 

CD  CD 

C  d 

Oh  O 

.  ft 

Ch 

CD  o 
TO 

G  C 

s  s 

CD  S 


Ch 

CD 
ft 
X 


S  ao 
•  d  c 
>  CO 

^  OS 

CD  " 

CO  TO 

+j  c 

co  CO 

CD  * 

C  (X 

O  CD 

SI 

<  ft 

P  c 
CO  '5 
D  -5 


M"3 

CD  - 

.0  a 

CD  £ 


^  d 

CO  CO 

8  » 

Ch  h-h 

CD  O 

"2  en 
3  d 
o  o 

ft-- 

H-H  CO 

O  d 

c  2 
•2  £ 

'  o 
o 

CO 

o 

'Eh 
CC 
> 


CJ 
=3 
TO 
O 

Ch 

ft 

"co 

§  o 

CD  h-h 

Oh  ^ 

CO 


-t— 1 

co' 

ed 

ray 

CD 

H-H 

CD 
C 

en 

Ch 

CD 

CD 

Ch 

CO 

Chh 

t3 

CO 

CD 

d 

H-H 

CO 

TO 

E 

CD 

00 

co 

CO 

CD 

d 

CO 

-d 

E 

CJ 

CO 

c/a 

TO 

Ch 

CD 

CO 

H-H 

"3 

CO 

ed 

H-H 

o 

rd 

H-H 

CJ 

Ch 

CO 

CD 

DO 

d 

a 
d. 

CO 

'5 

c 

> 

-E 

H-H 

de 

CO 

3 
C 

Oh 


d 

CD 

s 

CD 
00 
CO 

d 

co 
E 


CO 
CD 

Ch 

o 


to 

"2 

">> 

-a 

Ch 

cO 


o 

Ch 

00 

-a 

CO 

H-H 

CO 

"fl  co 

S  P 
5  CD 
1"2 

»  o 
^  ft 


03  tn  3 

cd  >  o 

co  -d  <i  • 

S  "5  >>  ° 

0  w  §  u„ 

CO    OD  Oh  CO' 

C35    rH  .  d 

^  +3  cx-d 


>  -a  0 

5  d  f-1 

CO  DO 

' n  *  r, 

H-H  CJ 

CO  J  05 

£  CD  O 
TO 


£  .g  ft 


Ch'  g 

CD 

0  « 

co 

W 

rn  cd 

m  do 


rH  O 

^  CJ 

-  H-h 
lT3  Ch 

CN  O 
CN  ECh 

s  s 

OS  .2 
"cc 


3  03 

CO 

CO 

CD  > 

Si 


c 

o 

"CD 
Ch 

CO 
CJ 


"O  CD 

C  C 

CO 

ft 

OS  ra 

^  co 

H-H  O 

Ch  Ch 

CD  CD 

_c  -a 

c  a 

os  o 
.  ft 

CD  o 
T3 

C  c 

co  E 


ft  co 

CO 

Oh  C 

"g  E 

s  I 

co  ft 

CD  ^ 

OS  w 

CD  ° 

.1  g> 

>  CO 

u  OS 
CD  " 

CO  "C 

d 


CD 

d 

42  'Sh 


CD 

-a 


CO 

>> 

CO 


d 

CO  CO 

8  « 

Ch  m-h 

CD  O 
"2  CO 

d  d 

ft-- 

H-H  CO 

o  d 

S  ^ 
•2  E 

'  o 


CO  CO 


Ch 

o 

Lin 

< 
p 

CO 

D 


CC 


u 
d 

T3 
O 

Ch 
ft 

"cO 


d  o 

CD  H-H 

Oh  £ 

CO 


d 

CD 
Ch 
CD  CD 

Ch  h-h 

CO  ^S 

-a 

CD  _d 

2  -a 

E  CD 

•~  00 

CO  CO 

CD  d 
CO 

■8  a 

d  co 

CO  T3 

d 

CD  B 

3  CO 

CD  0 

u  d 

CO  CD 

2 

S>  ft 
.S  ^5 

d  'qj 

E  > 


CO 

3 
d 


d 

CD 

E 

CD 
00 
CO 
d 

CO 


CO 
CD 

Ch 

o 


2 

lo 
d 

CO 


o 

Ch 

00 

-a 
d 

CO 

H-H 

CO 

to  a 
-a  co 

S  CD 
^  ~C3 

M  O 
^  ft 


CO  >  o 

CO  pd  • 

S  d  ^  ° 

co  od  OS  co 
cn  H    .  d 

rH  h^  CX^d 

o 

CJ 


•  -a  cd 

3  d  t-1 
E  co  d 

m  QO^ 
CO  DO 
CO 


CD  ^ 
>  CD 

-G  d 


a 

CD 

'o 

Ch 

ft 


Ch"  0 

CD 

to  « 

rH  TO 

•d  d 

E  5 

T3  co 
PJ 

m  00 

d  7 

o  c 

5  > 

CD 

^  rH 

CJ  d 


d 

o 


CD  O 


LO  Ch 

CN  O 

CN  [Jh 

^  s 

Oh  .2 


CO 


Ch 

CD  , 
ft  CO 

CO  H_l 

Oh 


d 

CD 

E 


-a 
d 


CD 

d 
"ft 


Ch 
CD 
ft 
X 


-d 

U 
Ch 

co 

CD 
CO 
CD 

CD  03 

I  S 

>  CO 

u  OS 

CD 

co  "a 

co  CO 
CD  h-h 

CO 
CD 

S  Cth  f-1 

HH     <  IJH 

d  a 

CD  CO 

E  D 


rV  CO 

^  co 

*H  O 

Ch  Ch 

CD  CD 

hQ  "a 

o  d 

ft  Ch 

CD  O  rH 

-a 
d 

CO 
X 
CD 


^J  "co 
CD  « 

H-H  H-H 

d  « 

CD  ® 

d  73 

CO  CO 
o  w 

Ch  h-h 

CD  O 
^  CO 

d  d 

o  o 

ft-- 

H-H  CO 

o  d 

S  ? 
.2  E 

'  o 


co 
CO 


u 
d 

o 

Ch 
ft 

"co 


d 
'5 


"d  Ph 

d  o 

CD  H-H 

Oh  a> 

MH 

CO 


d 

CD 
Ch 

CD  CD 

Ch  h-h 

CO  td 

T3 
CO  _ 

CD  _d 

2  -a 

E  CD 
■—  00 

+H 

co  CO 
CD  d 
CO 

■g  B 

3  co 
CO  T3 

d 

CD  S 
3  CO 

CD  0 

rd  "H 

cj  d 

CO  CD 

2P  ft 

0  "co 
.0  > 

£  CD 

5  -a 


CO 

3 

d 
ft 


d 

CD 

E 

CD 
00 
CO 

d 
co 
E 


CO 
CD 

Ch 

O 


5 
d 

CO 

CO 


O 

Ch 

00 

-a 
d 

CO 

H-H 

CO 


CO 

-a 

O 


a 

CO 

O 

Ch 

>  CD 

&  ft 


CO  -  c 

2?8  1 

cc  ^  o 
d  >  *5 
co  -d  <<  . 

S   3   ^  ° 

rH  hhj  CX^d 

rn    d   rH  "O 

CD  —  ^  CJ 


1  T3  CD 

2  c  h 
E  co  d 

m  n-T  3 

CD  i*h 

CO  DO 

'  ®  M 

H-H  CJ 

CO  J 

CD  ^ 

S  CD 

d  73 

rd  d 


Ch 

ft 


to  « 

.0^ 

E  d 

T3  "So 
H 

T3 

m*  a 

d  7 

o  d 

o  I 

"in  CD 

03  rH 

u  .0 

TJ  CD 

d  c 

CO 

ft 

OS  ro 

^  co 

H->  O 

Ch  Ch 

CD  CD 

hCJ  T3 
O  d 

OS  o 
ft 

Ch  r , 

CD  o 


IT5  Ch 

CN  O 

cn  Ch 
OS  .2 

CD  3 
ft  CO 

3  H-H 

ft  d 

CD 

E 

CD 
ft 
X 


T3 

d 

co 

X 
CD 


nd 

CJ 
Ch 
CO 
CD 
CO 
CD 

OS  w 

CD  S3 

■S  d 

>  3 

u  OS 

CD  " 

CO 

h_  d 

co  3 

CD  h-h 

Ch  CO 

O  CD 

2  ° 

<  Ch 

P  d 

CO 

D  i2 


§  S 

r«  +H 

CD  ^ 

rd  >> 

H-H  H-H 

d  "?5 

■d  d 

CD^ 


^  d 

3  3 

8  « 

Ch  h-h 

CD  O 
CO 

d  3 

o  o 

ft-- 

H-H  CO 

o  d 

S  £ 
•2  E 
o 


CJ 


CO 


d 

0  s 

Ch  O 

Dh"E 

rH  3 

3  > 

"d 

d  o 

CD  h-h 

Oh  ® 
rH 

3 


H-H 

CO 

ed 

>> 

3 

T3 

3 

H-H 

3 

d 

en 

Ch 

3 

3 

Ch 

H-H 

3 

H-H 

tS 

CO 

3 

d 

H-H 

3 

TO" 

6 

3 

H-H 

00 

CO 

3 

3 

d 

3 

ch 

E 

3 

CO 

CO 

d 

CD 

3 

H-H 

CO 

ed 

t+H 
O 

rd 

H-H 

CJ 

d 

CO 

3 

00 

d 

0 
ft 

"0 

"CD 

d 

> 

rd 

H-H 

de 

CO 

3 

d 
ft 


3 

E 

3 
00 
3 
d 
3 
E 


CO 
3 

Ch 
O 


2 

TO 

d 

3 

CO 


3 

Ch 

00 

TO 

d 

3 

CO 


CO 

-a 
o 


a 

CO 

O 
Ch 

>  3 
1"° 

d 

^  ft 


Rocky 
Mountains 


Southwest 


Great 
Plains 


U.S.  Department  of  Agriculture 
Forest  Service 

Rocky  Mountain  Forest  and 
Range  Experiment  Station 


The  Rocky  Mountain  Station  is  one  of  eight 
regional  experiment  stations,  plus  the  Forest 
Products  Laboratory  and  the  Washington  Office 
Staff,  that  make  up  the  Forest  Service  research 
organization. 

RESEARCH  FOCUS 

Research  programs  at  the  Rocky  Mountain 
Station  are  coordinated  with  area  universities  and 
with  other  institutions.  Many  studies  are 
conducted  on  a  cooperative  basis  to  accelerate 
solutions  to  problems  involving  range,  water, 
wildlife  and  fish  habitat,  human  and  community 
development,  timber,  recreation,  protection,  and 
multiresource  evaluation. 

RESEARCH  LOCATIONS 

Research  Work  Units  of  the  Rocky  Mountain 
Station  are  operated  in  cooperation  with 
universities  in  the  following  cities: 

Albuquerque,  New  Mexico 

Bottineau,  North  Dakota 

Flagstaff,  Arizona 

Fort  Collins,  Colorado* 

Laramie,  Wyoming 

Lincoln,  Nebraska 

Lubbock,  Texas 

Rapid  City,  South  Dakota 

Tempe,  Arizona 


*  Station  Headquarters:  240  W.  Prospect  St.,  Fort  Collins,  CO  80526