Factors influencing ponderosa pine regeneration in the southwestern USA

Joshua J. Puhlick, Daniel C. Laughlin, Margaret M Moore

Research output: Contribution to journalArticle

43 Citations (Scopus)

Abstract

Improving predictions of ponderosa pine (Pinus ponderosa var. scopulorum) regeneration is critical as landscape-scale restoration efforts are being implemented across the western United States. The establishment of new ponderosa pine cohorts following restoration treatments will have long-term impacts on the future development of forest stands. At a regional scale, we used data associated with 364 Forest Inventory and Analysis (FIA) plots within the ponderosa pine forest type on National Forests in Arizona and New Mexico. At a local scale, we sampled 28 stands on basalt and sedimentary parent materials on the Coconino National Forest in northern Arizona. Structural equation models were developed to determine the relative importance of direct and indirect factors affecting ponderosa pine seedling densities at both regional and local scales. The regional model only explained 13% of the variation in pine seedling density. The model indicated that ponderosa pine seedling density was highest where (1) mean annual precipitation was highest, (2) average May minimum temperature was highest, (3) overstory stand basal area was lowest and (4) Muhlenbergia spp. were dominant herbaceous plants. The local model explained 76% of the variation in pine seedling density. Densities were highest where (1) mean annual precipitation was highest, (2) soil clay content was lowest, (3) soil pH was lowest, (4) Muhlenbergia virescens frequency was highest and (5) seed tree frequency was highest. If additional factors such as soil texture, soil pH, screwleaf muhly frequency and seed tree frequency were measured on FIA plots, then perhaps more variation in pine seedling density could be explained at the regional scale.

Original languageEnglish (US)
Pages (from-to)10-19
Number of pages10
JournalForest Ecology and Management
Volume264
DOIs
StatePublished - Jan 15 2012

Fingerprint

Pinus ponderosa
regeneration
seedling
Muhlenbergia
seedlings
seed trees
Pinus
forest inventory
Coconino National Forest
soil pH
seed
basalt
overstory
Western United States
national forests
herbaceous plants
parent material
soil texture
forest types
clay soil

Keywords

  • Climate
  • Coconino National Forest
  • Ecological restoration
  • Forest Inventory and Analysis
  • Structural equation modeling
  • Tree regeneration

ASJC Scopus subject areas

  • Forestry
  • Management, Monitoring, Policy and Law
  • Nature and Landscape Conservation

Cite this

Factors influencing ponderosa pine regeneration in the southwestern USA. / Puhlick, Joshua J.; Laughlin, Daniel C.; Moore, Margaret M.

In: Forest Ecology and Management, Vol. 264, 15.01.2012, p. 10-19.

Research output: Contribution to journalArticle

@article{9bae631bbc0c40b48bb831372b37586c,
title = "Factors influencing ponderosa pine regeneration in the southwestern USA",
abstract = "Improving predictions of ponderosa pine (Pinus ponderosa var. scopulorum) regeneration is critical as landscape-scale restoration efforts are being implemented across the western United States. The establishment of new ponderosa pine cohorts following restoration treatments will have long-term impacts on the future development of forest stands. At a regional scale, we used data associated with 364 Forest Inventory and Analysis (FIA) plots within the ponderosa pine forest type on National Forests in Arizona and New Mexico. At a local scale, we sampled 28 stands on basalt and sedimentary parent materials on the Coconino National Forest in northern Arizona. Structural equation models were developed to determine the relative importance of direct and indirect factors affecting ponderosa pine seedling densities at both regional and local scales. The regional model only explained 13{\%} of the variation in pine seedling density. The model indicated that ponderosa pine seedling density was highest where (1) mean annual precipitation was highest, (2) average May minimum temperature was highest, (3) overstory stand basal area was lowest and (4) Muhlenbergia spp. were dominant herbaceous plants. The local model explained 76{\%} of the variation in pine seedling density. Densities were highest where (1) mean annual precipitation was highest, (2) soil clay content was lowest, (3) soil pH was lowest, (4) Muhlenbergia virescens frequency was highest and (5) seed tree frequency was highest. If additional factors such as soil texture, soil pH, screwleaf muhly frequency and seed tree frequency were measured on FIA plots, then perhaps more variation in pine seedling density could be explained at the regional scale.",
keywords = "Climate, Coconino National Forest, Ecological restoration, Forest Inventory and Analysis, Structural equation modeling, Tree regeneration",
author = "Puhlick, {Joshua J.} and Laughlin, {Daniel C.} and Moore, {Margaret M}",
year = "2012",
month = "1",
day = "15",
doi = "10.1016/j.foreco.2011.10.002",
language = "English (US)",
volume = "264",
pages = "10--19",
journal = "Forest Ecology and Management",
issn = "0378-1127",
publisher = "Elsevier",

}

TY - JOUR

T1 - Factors influencing ponderosa pine regeneration in the southwestern USA

AU - Puhlick, Joshua J.

AU - Laughlin, Daniel C.

AU - Moore, Margaret M

PY - 2012/1/15

Y1 - 2012/1/15

N2 - Improving predictions of ponderosa pine (Pinus ponderosa var. scopulorum) regeneration is critical as landscape-scale restoration efforts are being implemented across the western United States. The establishment of new ponderosa pine cohorts following restoration treatments will have long-term impacts on the future development of forest stands. At a regional scale, we used data associated with 364 Forest Inventory and Analysis (FIA) plots within the ponderosa pine forest type on National Forests in Arizona and New Mexico. At a local scale, we sampled 28 stands on basalt and sedimentary parent materials on the Coconino National Forest in northern Arizona. Structural equation models were developed to determine the relative importance of direct and indirect factors affecting ponderosa pine seedling densities at both regional and local scales. The regional model only explained 13% of the variation in pine seedling density. The model indicated that ponderosa pine seedling density was highest where (1) mean annual precipitation was highest, (2) average May minimum temperature was highest, (3) overstory stand basal area was lowest and (4) Muhlenbergia spp. were dominant herbaceous plants. The local model explained 76% of the variation in pine seedling density. Densities were highest where (1) mean annual precipitation was highest, (2) soil clay content was lowest, (3) soil pH was lowest, (4) Muhlenbergia virescens frequency was highest and (5) seed tree frequency was highest. If additional factors such as soil texture, soil pH, screwleaf muhly frequency and seed tree frequency were measured on FIA plots, then perhaps more variation in pine seedling density could be explained at the regional scale.

AB - Improving predictions of ponderosa pine (Pinus ponderosa var. scopulorum) regeneration is critical as landscape-scale restoration efforts are being implemented across the western United States. The establishment of new ponderosa pine cohorts following restoration treatments will have long-term impacts on the future development of forest stands. At a regional scale, we used data associated with 364 Forest Inventory and Analysis (FIA) plots within the ponderosa pine forest type on National Forests in Arizona and New Mexico. At a local scale, we sampled 28 stands on basalt and sedimentary parent materials on the Coconino National Forest in northern Arizona. Structural equation models were developed to determine the relative importance of direct and indirect factors affecting ponderosa pine seedling densities at both regional and local scales. The regional model only explained 13% of the variation in pine seedling density. The model indicated that ponderosa pine seedling density was highest where (1) mean annual precipitation was highest, (2) average May minimum temperature was highest, (3) overstory stand basal area was lowest and (4) Muhlenbergia spp. were dominant herbaceous plants. The local model explained 76% of the variation in pine seedling density. Densities were highest where (1) mean annual precipitation was highest, (2) soil clay content was lowest, (3) soil pH was lowest, (4) Muhlenbergia virescens frequency was highest and (5) seed tree frequency was highest. If additional factors such as soil texture, soil pH, screwleaf muhly frequency and seed tree frequency were measured on FIA plots, then perhaps more variation in pine seedling density could be explained at the regional scale.

KW - Climate

KW - Coconino National Forest

KW - Ecological restoration

KW - Forest Inventory and Analysis

KW - Structural equation modeling

KW - Tree regeneration

UR - http://www.scopus.com/inward/record.url?scp=80055017753&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80055017753&partnerID=8YFLogxK

U2 - 10.1016/j.foreco.2011.10.002

DO - 10.1016/j.foreco.2011.10.002

M3 - Article

AN - SCOPUS:80055017753

VL - 264

SP - 10

EP - 19

JO - Forest Ecology and Management

JF - Forest Ecology and Management

SN - 0378-1127

ER -