Stand Productivity

1981 ◽  
pp. 129-130
Author(s):  
P. W. Rundel ◽  
M. C. Rutherford
Keyword(s):  
Stand Productivity

Potential of lucerne sowing rate to influence root development and its implications for field stand productivity

2021 ◽  
Author(s):  
Josef Hakl ◽  
Martin Pisarčik ◽  
Pavel Fuksa ◽  
Jaromír Šantrůček
Keyword(s):  
Root Development ◽  
Stand Productivity

scholarly journals Changes in structural heterogeneity and stand productivity by mixing Scots pine and Maritime pine

2017 ◽  
Vol 405 ◽  
pp. 219-228 ◽  
Author(s):  
José Riofrío ◽  
Miren del Río ◽  
Hans Pretzsch ◽  
Felipe Bravo
Keyword(s):  
Scots Pine ◽  
Structural Heterogeneity ◽  
Maritime Pine ◽  
Stand Productivity

scholarly journals Mineral Component Part of Litters in the Bog Birch Forests: Storage Conditions and Relationship with Stand Productivity

2010 ◽  
Vol 3 (2) ◽  
pp. 211-223 ◽  
Author(s):  
Efremova Tamara T. ◽  
◽  
Avrova Ada F. ◽  
Efremov Stanislav P. ◽  
Melentieva Nadejda V. ◽  
...  
Keyword(s):  
Storage Conditions ◽  
Component Part ◽  
Mineral Component ◽  
Stand Productivity ◽  
Birch Forests

scholarly journals Algorithm for assessing forest stand productivity index using leaf area index

2019 ◽  
Vol 16 (3) ◽  
pp. 1311
Author(s):  
Faid Abdul Manan ◽  
Muhammad Buce Saleh ◽  
I Nengah Surati Jaya ◽  
Uus Saepul Mukarom
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Basal Area ◽  
Forest Stand ◽  
Productivity Index ◽  
Estimation Model ◽  
Area Index ◽  
Study Objective ◽  
Stand Productivity ◽  
Variable Combination

This paper describes a development of an algorithm for assessing stand productivity by considering the stand variables. Forest stand productivity is one of the crucial information that required to establish the business plan for unit management at the beginning of forest planning activity. The main study objective is to find out the most significant and accurate variable combination to be used for assessing the forest stand productivity, as well as to develop productivity estimation model based on leaf area index. The study found the best stand variable combination in assessing stand productivity were density of poles (X2), volume of commercial tree having diameter at breast height (dbh) 20-40 cm (X16), basal area of commercial tree of dbh >40 cm (X20) with Kappa Accuracy of 90.56% for classifying into 5 stand productivity classes. It was recognized that the examined algorithm provides excellent accuracy of 100% when the stand productivity was classified into only 3 classes. The best model for assessing the stand productivity index with leaf area index is y = 0.6214x - 0.9928 with R2= 0.71, where y is productivity index and x is leaf area index.

scholarly journals Forest stand productivity derived from site conditions: an assessment of old Douglas-fir stands (Pseudotsuga menziesii (Mirb.) Franco var. menziesii) in Central Europe

2019 ◽  
Vol 76 (1) ◽  
Author(s):  
Tamara Eckhart ◽  
Elisabeth Pötzelsberger ◽  
Roland Koeck ◽  
Dominik Thom ◽  
Georg J. Lair ◽  
...  
Keyword(s):  
Central Europe ◽  
Pseudotsuga Menziesii ◽  
Forest Stand ◽  
Douglas Fir ◽  
Site Conditions ◽  
Stand Productivity

scholarly journals Integrating effects of species composition and soil properties to predict shifts in montane forest carbon–water relations

2018 ◽  
Vol 115 (18) ◽  
pp. E4219-E4226 ◽  
Author(s):  
Toby M. Maxwell ◽  
Lucas C. R. Silva ◽  
William R. Horwath
Keyword(s):  
Species Composition ◽  
Soil Properties ◽  
Water Use ◽  
Sierra Nevada ◽  
Water Relations ◽  
Montane Forest ◽  
Forest Carbon ◽  
Landscape Patterns ◽  
Stand Productivity ◽  
Intrinsic Water Use Efficiency

This study was designed to address a major source of uncertainty pertaining to coupled carbon–water cycles in montane forest ecosystems. The Sierra Nevada of California was used as a model system to investigate connections between the physiological performance of trees and landscape patterns of forest carbon and water use. The intrinsic water-use efficiency (iWUE)—an index of CO2 fixed per unit of potential water lost via transpiration—of nine dominant species was determined in replicated transects along an ∼1,500-m elevation gradient, spanning a broad range of climatic conditions and soils derived from three different parent materials. Stable isotope ratios of carbon and oxygen measured at the leaf level were combined with field-based and remotely sensed metrics of stand productivity, revealing that variation in iWUE depends primarily on leaf traits (∼24% of the variability), followed by stand productivity (∼16% of the variability), climatic regime (∼13% of the variability), and soil development (∼12% of the variability). Significant interactions between species composition and soil properties proved useful to predict changes in forest carbon–water relations. On the basis of observed shifts in tree species composition, ongoing since the 1950s and intensified in recent years, an increase in water loss through transpiration (ranging from 10 to 60% depending on parent material) is now expected in mixed conifer forests throughout the region.

Age‐related decline in stand productivity: the role of structural acclimation under hydraulic constraints

2000 ◽  
Vol 23 (3) ◽  
pp. 251-263 ◽  
Author(s):  
F. Magnani ◽  
M. Mencuccini ◽  
J. Grace
Keyword(s):  
Stand Productivity ◽  
Age Related

Strategic analysis of forest vulnerability to risk related to fire: an example from the coniferous boreal forest of Quebec

2015 ◽  
Vol 45 (5) ◽  
pp. 553-565 ◽  
Author(s):  
Sylvie Gauthier ◽  
Frédéric Raulier ◽  
Hakim Ouzennou ◽  
Jean-Pierre Saucier
Keyword(s):  
Boreal Forests ◽  
Coniferous Forest ◽  
Fire Risk ◽  
Growth And Yield ◽  
Management Planning ◽  
Forest Management Planning ◽  
Stand Productivity ◽  
Productive Area ◽  
Coniferous Boreal Forest ◽  
Good Productivity

As fire is a major disturbance in boreal forests, it is now recognized that it has to be taken into account in forest management planning. Moreover, as the time of exposure to fire is related to stand productivity, combining information on productivity and fire should help in assessing the potential to sustainably manage forests. We present a method to assess potential vulnerability to the risk of fire and illustrate it in the boreal coniferous forest of Quebec. This method takes into account some sources of uncertainty related to the estimation of productivity and fire risk. Spatialization of stand productivity from growth and yield curves allowed us to compute the area comprised of productive stands of each district with or without considering fire risk. Results showed that productive area is generally decreasing with decreasing degree-days, increasing elevation, or in relation to surficial geology. Furthermore, districts with moderate to good productivity were found to be vulnerable to fire when burn rates were greater than 0.333%·year–1. Our innovative approach allowed us to assess the vulnerability of the districts to fire and could be helpful in many regions in the context of a projected increase in future area burned under climate change.

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