scholarly journals Insurance and Forest Rotation Decisions Under Storm Risk

2020 ◽  
Vol 76 (2-3) ◽  
pp. 347-367
Author(s):  
Patrice Loisel ◽  
Marielle Brunette ◽  
Stéphane Couture
Keyword(s):  
Forest Rotation

Causes of Forest Rotation

1886 ◽  
Vol 20 (6) ◽  
pp. 521-527 ◽  
Author(s):  
John T. Campbell
Keyword(s):  
Forest Rotation

scholarly journals Silvicultural Discipline to Maintain Acadian Forest Resilience

2007 ◽  
Vol 24 (2) ◽  
pp. 91-97 ◽  
Author(s):  
Peter Salonius
Keyword(s):  
Structural Complexity ◽  
Energy Availability ◽  
Management Options ◽  
Canopy Opening ◽  
Forest Resilience ◽  
Clearcut Harvesting ◽  
Harvest Intervals ◽  
Forest Openings ◽  
Forest Floor Vegetation ◽  
Forest Rotation

Abstract Clearcut harvesting decreases structural complexity, eliminates old and genetically superior legacy trees, extirpates mature-forest floor vegetation, and creates hot and dry postharvest microclimates. The short-lived, exposure-tolerant, boreal tree species that regenerate in large forest openings are believed to be less able, than the late-successional Acadian species they replace, to adapt to the climate warming expected during the next forest rotation. A strip silviculture design is presented that includes limited canopy opening, “no-traffic” areas, maintenance of “full-cycle” survivors, and programmed return harvest intervals that approximate natural gap disturbance as a means of arresting the further increase of boreal species and restoring Acadian species on the landscape. Within the confines of this silvicultural discipline, two management options are described to accommodate extremes of future energy availability.

Optimum Forest Rotation in an Imperfect Stumpage Market

1980 ◽  
Vol 56 (2) ◽  
pp. 213 ◽  
Author(s):  
Jagdish C. Nautiyal ◽  
Kenneth S. Fowler
Keyword(s):  
Forest Rotation

Ordered Site Access and Optimal Forest Rotation

1985 ◽  
Vol 73 (2) ◽  
pp. 155-175 ◽  
Author(s):  
Frederic Y. M. Wan
Keyword(s):  
Site Access ◽  
Forest Rotation

Forest rotation and streamflow benefits

1994 ◽  
Vol 57 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Harry R. Clarke
Keyword(s):  
Forest Rotation

Optimum Forest Rotation: Reply

1981 ◽  
Vol 57 (2) ◽  
pp. 295 ◽  
Author(s):  
Jagdish C. Nautiyal
Keyword(s):  
Forest Rotation

scholarly journals ROTATION FORESTS AND RANDOM FOREST CLASSIFIERS FOR MONITORING OF VEGETATION IN PAYS DE BREST (FRANCE)

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 727-732
Author(s):  
S. Niculescu ◽  
J. Xia ◽  
D. Roberts ◽  
A. Billey
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Random Forest ◽  
Canonical Correlation ◽  
Growing Season ◽  
Radar Images ◽  
Using Data ◽  
Source Of Information ◽  
Forest Rotation ◽  
Sentinel 2

Abstract. Remote sensing is a potentially very useful source of information for spatial monitoring of natural or cultivated vegetation. The latest advances, in particular the arrival of new image acquisition programs, are changing the temporal approach to monitoring vegetation. The latest European satellites launched, delivering an image every 5 days for each point on the globe, allow the end of a growing season to be monitored. The main objective of this work is to identify and map the vegetation in the Pays de Brest area by using a multi sensors stacking of Sentinel-1 and Sentinel-2 satellites data via Random Forest, Rotation forests (RoF) and Canonical Correlation Forests (CCFs). RoF and CCF create diverse base learners using data transformation and subset features. Twenty four radar images and optical dataa representing different dates in 2017 were processed in time series stacks. The results of RoF and CCF were compared with the ones of RF.

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