Effects of stand parameters on conifer regeneration success in pine shelterwood stands in Estonia

2020 ◽  
Vol 139 (1) ◽  
pp. 29-40
Author(s):  
Raul Rosenvald ◽  
Katrin Rosenvald ◽  
Tanel Kaart ◽  
Erko Soolmann
Science ◽  
2006 ◽  
Vol 311 (5759) ◽  
pp. 352-352 ◽  
Author(s):  
D. C. Donato ◽  
J. B. Fontaine ◽  
J. L. Campbell ◽  
W. D. Robinson ◽  
J. B. Kauffman ◽  
...  

We present data from a study of early conifer regeneration and fuel loads after the 2002 Biscuit Fire, Oregon, USA, with and without postfire logging. Natural conifer regeneration was abundant after the high-severity fire. Postfire logging reduced median regeneration density by 71%, significantly increased downed woody fuels, and thus increased short-term fire risk. Additional reduction of fuels is necessary for effective mitigation of fire risk. Postfire logging can be counterproductive to the goals of forest regenration and fuel reduction.


Author(s):  
V. Yilmaz ◽  
C. Serifoglu ◽  
O. Gungor

In Turkey, forest management plans are produced by terrestrial surveying techniques for 10 or 20 year periods, which can be considered quite long to maintain the sustainability of forests. For a successful forest management plan, it is necessary to collect accurate information about the stand parameters and store them in dynamic and robust databases. The position, number, height and closure of trees are among the most important stand parameters required for a forest management plan. Determining the position of each single tree is challenging in such an area consisting of too many interlocking trees. Hence, in this study, an object-based tree detection methodology has been developed in MATLAB programming language to determine the position of each tree top in a highly closed area. The developed algorithm uses the Canopy Height Model (CHM), which is computed from the Digital Terrain Model (DTM) and Digital Surface Model (DSM) generated by using the point cloud extracted from the images taken from a UAS (Unmanned Aerial System). The heights of trees have been determined by using the CHM. The closure of the trees has been determined with the written MATLAB script. The results show that the developed tree detection methodology detected more than 70% of the trees successfully. It can also be concluded that the stand parameters may be determined by using the UAS-based point clouds depending on the characteristics of the study area. In addition, determination of the stand parameters by using point clouds reduces the time needed to produce forest management plans.


Forests ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 177 ◽  
Author(s):  
Louis-Philippe Ménard ◽  
Jean-Claude Ruel ◽  
Nelson Thiffault

Managing competing vegetation is crucial in stand establishment strategies; forecasting the abundance, composition, and impact of competing vegetation after harvesting is needed to optimize silviculture scenarios and maintain long-term site productivity. Our main objective was to identify factors influencing the short-term abundance and composition of competing vegetation over a large area of the Canadian boreal forest. Our second objective was to better understand the mid-term evolution of the regeneration/competing vegetation complex in cases of marginal regeneration conditions. We used operational regeneration surveys of 4471 transects sampled ≈5 years after harvesting that contained data on regeneration, competing vegetation, elevation, ecological classification, soil attributes, and pre-harvest forest stands. We performed a redundancy analysis to identify the relationships between competing vegetation, harvesting and biophysical variables. We then estimated the probability of observing a given competing species cover based on these variables. In 2015, we re-sampled a portion of the sites, where conifer regeneration was marginal early after harvesting, to assess the temporal impact of different competing levels and species groups on the free-to-grow stocking, vigour and basal area of softwood regeneration. Results from the first inventory showed that, after careful logging around advance growth, ericaceous shrubs and hardwoods were not associated with the same sets of site attributes. Ericaceous shrubs were mainly found on low fertility sites associated with black spruce (Picea mariana (Mill.) BSP) or jack pine (Pinus banksiana Lamb.). The distinction between suitable environments for commercial shade-intolerant hardwoods and non-commercial hardwoods was less clear, as they responded similarly to many variables. Analysis of data from the second inventory showed a significant improvement in conifer free-to-grow stocking when commercial shade-intolerant hardwood competing levels were low (stocking 0%–40%) and when ericaceous shrubs competing levels were moderate (percent cover 26%–75%). In these conditions of marginal regeneration, the different types and intensities of competition did not affect the vigour or basal area of softwood regeneration, 9–14 years after harvesting.


2017 ◽  
Vol 33 (4) ◽  
pp. 338-346 ◽  
Author(s):  
Nesat Erkan ◽  
Aydin Comez ◽  
A. Cem Aydin ◽  
Ozge Denli ◽  
Serpil Erkan

PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0230221 ◽  
Author(s):  
Maxence Martin ◽  
Miguel Montoro Girona ◽  
Hubert Morin

2018 ◽  
Vol 409 ◽  
pp. 74-83 ◽  
Author(s):  
Andrzej M. Jagodziński ◽  
Marcin K. Dyderski ◽  
Kamil Gęsikiewicz ◽  
Paweł Horodecki ◽  
Agnieszka Cysewska ◽  
...  

2004 ◽  
Vol 198 (1-3) ◽  
pp. 149-167 ◽  
Author(s):  
Dengsheng Lu ◽  
Paul Mausel ◽  
Eduardo Brondı́zio ◽  
Emilio Moran

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