Predicted leaf area growth and foliage efficiency of loblolly pine plantations

1997 ◽  
Vol 95 (2) ◽  
pp. 109-115 ◽  
Author(s):  
Kunjin Shi ◽  
Quang V Cao
2005 ◽  
Vol 213 (1-3) ◽  
pp. 54-70 ◽  
Author(s):  
Scott D. Roberts ◽  
Thomas J. Dean ◽  
David L. Evans ◽  
John W. McCombs ◽  
Richard L. Harrington ◽  
...  

2016 ◽  
Vol 368 ◽  
pp. 55-62 ◽  
Author(s):  
Kwadwo Omari ◽  
David A. MacLean ◽  
Michael B. Lavigne ◽  
John A. Kershaw ◽  
Greg W. Adams

2014 ◽  
Vol 63 (1) ◽  
pp. 5-7 ◽  
Author(s):  
Andrzej Grzegorczyk

The leaf area growth in maize was approximated basing on the Richards function in the form of: y=A[l+b exp(-kt)]<sup>1/(1-m)</sup> . The constant coefficients of the Richards function were found by means of the Marquardt's method. The initial values of parameters were given basing on results of the preliminary approximation of the growth process by means of logistic function y = A[l+b exp(-kt)]<sup>-1</sup>. The procedure of nonlinear regression was found to be useful (curvilinear determination coefficient R<sup>2</sup> = 0.995). The Richards curve precisely describes the course of changes of the leaf area in maize since sprouting to a tassel flowering phase.


1995 ◽  
Vol 129 (2) ◽  
pp. 253-263 ◽  
Author(s):  
PETER S. CURTIS ◽  
CHRISTOPH S. VOGEL ◽  
KURT S. PREGITZER ◽  
DONALD R. ZAK ◽  
JAMES A. TEERI

1987 ◽  
Vol 17 (8) ◽  
pp. 951-956 ◽  
Author(s):  
C. P. Andersen ◽  
E. I. Sucoff ◽  
R. K. Dixon

Green ash (Fraxinuspennsylvanica Marsh.) seedlings were either inoculated with Glomusetunicatum or not inoculated and grown for approximately 5 weeks under glasshouse conditions to permit root colonization with vesicular–arbuscular (V–A) mycorrhizae. Two experiments were conducted to characterize V–A mycorrhizae influence on seedling growth at low root temperature. In experiment 1, seedlings were subjected to four root zone temperatures ranging from 7.5 to 20 °C for 24 days to measure leaf area and plant height on intact seedlings. In experiment 2, seedlings were exposed to root temperatures of 12.0, 16.0, and 20.0 °C for 30 days and seedlings were destructively harvested at 6-day intervals to measure growth variables and biomass distribution. Results of experiments 1 and 2 were similar. In experiment 1, leaf area growth of mycorrhizal seedlings was significantly greater than nonmycorrhizal controls at all temperatures. Relative leaf area growth rate was greater in mycorrhizal than nonmycorrhizal seedlings at 7.5 and 11.5 °C, similar between treatments at 15.5 °C, and greater in nonmycorrhizal seedlings at 20.0 °C, differences possibly resulting from the larger size of mycorrhizal seedlings at the start of the temperature treatments. In experiment 2, temperature treatments were imposed on seedlings of the same size. Mycorrhizal seedlings had greater leaf area growth rates and relative leaf area growth rates than nonmycorrhizal seedlings at all temperatures. Phosphorus concentrations and total P content in roots and leaves did not differ significantly between mycorrhizal treatments at any temperature; however, mycorrhizal seedlings had consistently greater leaf P content than nonmycorrhizal controls. Glomusetunicatum actively stimulates green ash growth at moderately low root temperatures.


2021 ◽  
Vol 13 (6) ◽  
pp. 1140
Author(s):  
Stephen M. Kinane ◽  
Cristian R. Montes ◽  
Timothy J. Albaugh ◽  
Deepak R. Mishra

Vegetation indices calculated from remotely sensed satellite imagery are commonly used within empirically derived models to estimate leaf area index in loblolly pine plantations in the southeastern United States. The data used to parameterize the models typically come with observation errors, resulting in biased parameters. The objective of this study was to quantify and reduce the effects of observation errors on a leaf area index (LAI) estimation model using imagery from Landsat 5 TM and 7 ETM+ and over 1500 multitemporal measurements from a Li-Cor 2000 Plant Canopy Analyzer. Study data comes from a 16 quarter 1 ha plot with 1667 trees per hectare (2 m × 3 m spacing) fertilization and irrigation research site with re-measurements taken between 1992 and 2004. Using error-in-variable methods, we evaluated multiple vegetation indices, calculated errors associated with their observations, and corrected for them in the modeling process. We found that the normalized difference moisture index provided the best correlation with below canopy LAI measurements (76.4%). A nonlinear model that accounts for the nutritional status of the stand was found to provide the best estimates of LAI, with a root mean square error of 0.418. The analysis in this research provides a more extensive evaluation of common vegetation indices used to estimate LAI in loblolly pine plantations and a modeling framework that extends beyond the typical linear model. The proposed model provides a simple to use form allowing forest practitioners to evaluate LAI development and its uncertainty in historic pine plantations in a spatial and temporal context.


2006 ◽  
Vol 36 (6) ◽  
pp. 1587-1596 ◽  
Author(s):  
Francisco J Flores ◽  
H Lee Allen ◽  
Heather M Cheshire ◽  
Jerry M Davis ◽  
Montserrat Fuentes ◽  
...  

The relationship between leaf area index (LAI) of loblolly pine plantations and the broadband simple ratio (SR) vegetation index calculated from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data was examined. An equation was derived to estimate LAI from readily available Landsat 7 ETM+ data. The equation developed to predict LAI with Landsat 7 ETM+ data was tested with ground LAI measurements taken in 12 plots. The root mean square error of prediction was 0.29, an error of approximately 14% in prediction. The ability of Landsat 7 ETM+ data to consistently estimate SR over time was tested using two scenes acquired on different dates during the winter (December to early March). Comparison between the two images on a pixel-by-pixel basis showed that approximately 96% of the pixels had a difference of <0.5 units of SR (approximately 0.3 units of LAI). When the comparison was made on a stand-by-stand basis (average stand SR), a maximum difference of 0.2 units of SR (approximately 0.12 units of LAI) was found. These results suggest that stand LAI of loblolly pine plantations can be accurately estimated from readily available remote sensing data and provide an opportunity to apply the findings from ecophysiological studies in field plots to forest management decisions at an operational scale.


1986 ◽  
Vol 66 (3) ◽  
pp. 677-682 ◽  
Author(s):  
W. S. FARGO ◽  
E. L. BONJOUR ◽  
T. L. WAGNER

An equation was developed which may be used to estimate the area of all sizes of developing squash (Cucurbita pepo L.) leaves. The equation uses two leaf measurements (midrib length (ML) and the distance between tertiary lobes (TD)) which may be taken quickly in the laboratory or field without disturbing the host plant. The equation is:[Formula: see text]The equation is applicable in monitoring individual leaf expansion as well as total plant leaf area increase and in examining the dynamics of the plant under various environmental conditions.Key words: Cucurbita pepo L., leaf area, growth, development, leaf expansion


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