Estimation of leaf area index in open-canopy ponderosa pine forests at different successional stages and management regimes in Oregon

2001 ◽  
Vol 108 (1) ◽  
pp. 1-14 ◽  
Author(s):  
B.E. Law ◽  
S. Van Tuyl ◽  
A. Cescatti ◽  
D.D. Baldocchi
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Ponderosa Pine ◽  
Pine Forests ◽  
Area Index ◽  
Ponderosa Pine Forests ◽  
Open Canopy ◽  
Management Regimes ◽  
Successional Stages

The role of stand density on growth efficiency, leaf area index, and resin flow in southwestern ponderosa pine forests

2007 ◽  
Vol 37 (2) ◽  
pp. 343-355 ◽  
Author(s):  
Nate G. McDowell ◽  
Henry D. Adams ◽  
John D. Bailey ◽  
Thomas E. Kolb
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Ponderosa Pine ◽  
Basal Area ◽  
Stand Density ◽  
Growth Efficiency ◽  
Resin Flow ◽  
Area Index ◽  
Sapwood Area ◽  
Ponderosa Pine Forests

We examined the response of growth efficiency (GE), leaf area index (LAI), and resin flow (RF) to stand density manipulations in ponderosa pine ( Pinus ponderosa Dougl. ex Laws.) forests of northern Arizona, USA. The study used a 40 year stand density experiment including seven replicated basal area (BA) treatments ranging from 7 to 45 m2·ha–1. Results were extended to the larger region using published and unpublished datasets on ponderosa pine RF. GE was quantified using basal area increment (BAI), stemwood production (NPPs), or volume increment (VI) per leaf area (Al) or sapwood area (As). GE per Al was positively correlated with BA, regardless of numerator (BAI/Al, NPPs/Al, and VI/Al; r2 = 0.84, 0.95, and 0.96, respectively). GE per As exhibited variable responses to BA. Understory LAI increased with decreasing BA; however, total (understory plus overstory) LAI was not correlated with BA, GE, or RF. Opposite of the original research on this subject, resin flow was negatively related to GE per Al because Al/As ratios decline with increasing BA. BAI, and to a lesser degree BA, predicted RF better than growth efficiency, suggesting that the simplest measurement with the fewest assumptions (BAI) is also the best approach for predicting RF.

Correlating Leaf Area Index of Ponderosa Pine with Hyperspectral CASI Data

1992 ◽  
Vol 18 (4) ◽  
pp. 275-282 ◽  
Author(s):  
Peng Gong ◽  
Ruiliang Pu ◽  
John R. Miller
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Ponderosa Pine ◽  
Area Index

Estimating leaf area index at multiple heights within the understorey component of Loblolly pine forests from airborne discrete-return lidar

2015 ◽  
Vol 37 (1) ◽  
pp. 78-99 ◽  
Author(s):  
Matthew J. Sumnall ◽  
Thomas R. Fox ◽  
Randolph H. Wynne ◽  
Christine Blinn ◽  
Valerie A. Thomas
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Loblolly Pine ◽  
Pine Forests ◽  
Area Index

Leaf area index and standard error of pine forests estimated with common digital camera

2013 ◽  
Vol 21 (5) ◽  
pp. 638-644 ◽  
Author(s):  
Zhang-Hua XU ◽  
Jian LIU ◽  
Kun-Yong YU ◽  
Cong-Hong GONG ◽  
Wan-Jun XIE ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Standard Error ◽  
Digital Camera ◽  
Pine Forests ◽  
Area Index

Comparing site quality indices and productivity in ponderosa pine stands of western Montana

1988 ◽  
Vol 18 (3) ◽  
pp. 346-352 ◽  
Author(s):  
Scott D. McLeod ◽  
Steven W. Running
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Ponderosa Pine ◽  
Volume Growth ◽  
Stand Density ◽  
Site Index ◽  
Site Quality ◽  
Area Index ◽  
Water Index ◽  
Available Water

Four indices of site quality were compared with volume growth of pure, ideal ponderosa pine (Pinusponderosa Laws.) stands in western Montana. Indices based on quantifying the biophysical factors or physiological processes that control productivity (available water index and a relative index of seasonal photosynthesis from computer simulations) worked as well as those based on tree or stand measurements (site index and leaf area index). The following correlations of mean annual stem volume increment were found: with leaf area index, R2 = 0.93; with available water index, R2 = 0.95; with site index, R2 = 0.98; with gross photosynthesis R2 = 0.96. The available water and photosynthesis indices were also highly correlated to site index (R2 > 0.95). However, the tree-dependent site quality indices varied by stand density. Leaf area index and volume growth increased with stand density while site index decreased. Simulations indicated that depletion of soil water effectively halted transpiration and photosynthesis by midsummer and illustrated that even with adequate water, cold spring and fall temperatures ultimately defined the length of the growing season and hence site quality. We conclude that an ecosystem process model can provide an index to site quality independent of tree or stand measurements.

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