scholarly journals Forest management is driving the eastern North American boreal forest outside its natural range of variability

2009 ◽  
Vol 7 (10) ◽  
pp. 519-524 ◽  
Author(s):  
Dominic Cyr ◽  
Sylvie Gauthier ◽  
Yves Bergeron ◽  
Christopher Carcaillet
2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Pierre Grondin ◽  
Sylvie Gauthier ◽  
Véronique Poirier ◽  
Patrice Tardif ◽  
Yan Boucher ◽  
...  

2008 ◽  
Vol 84 (3) ◽  
pp. 316-329 ◽  
Author(s):  
Frédérik Doyon ◽  
Stephen Yamasaki ◽  
Robin Duchesneau

The Natural Range of Variability is a concept used under the ecosystem management paradigm that means understanding the disturbance-driven spatial and temporal variability of the ecological systems and mimicking them in management strategies. With this project, we developed a framework that permitted addressing biodiversity issues under the lens of the Natural Range of Variability (NRV) for a managed public forest in central-west Alberta. To do so, we brought together a spatial harvest scheduler, a fire and succession landscape simulator, and a toolbox of biodiversity indicator models. Indicator models, that encompass landscape configuration, ecosystem diversity, stand internal habitat features and speciesspecific habitat supply models, were applied on the outputs of the landscape dynamics simulator to define the NRV. The risk of losing biodiversity values in applying the forest management strategy was addressed by comparing indicators outputs over the simulation horizon with their respective NRV. Results demonstrate that no forest-age-related indicator evaluated on the harvest scheduler output shows an important deviation from the NRV. However, in regards to forest cover types there is obviously a loss in ecosystem diversity, as a direct effect of the stand composition control of the silvicultural strategies. We found that patch size distribution is generally compliant with the NRV, although we observed more large patches and better connectivity for old growth patches under fire-driven landscapes. We also found that downed woody debris volume and many understory vegetation (ground lichen, herb and shrub) covers were at risk. Over the seventeen wildlife species, we detected nine species that could be jeopardized by important loss of habitats. Back-tracking bottleneck forest conditions that put these biodiversity values at risk has allowed development of recommendations with regards to landscape design and adapted practices. Key words: BAP toolbox, fire-driven landscape, natural disturbance regime, ecosystem diversity, landscape configuration, wildlife habitat models, risk analysis


Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1033
Author(s):  
Lloyd C. Irland ◽  
John Hagan

Why have a special issue on North American options for reducing national CO2 footprints through forest management [...]


2010 ◽  
Vol 10 (14) ◽  
pp. 6873-6888 ◽  
Author(s):  
D. Peterson ◽  
J. Wang ◽  
C. Ichoku ◽  
L. A. Remer

Abstract. The effects of lightning and other meteorological factors on wildfire activity in the North American boreal forest are statistically analyzed during the fire seasons of 2000–2006 through an integration of the following data sets: the MODerate Resolution Imaging Spectroradiometer (MODIS) level 2 fire products, the 3-hourly 32-km gridded meteorological data from North American Regional Reanalysis (NARR), and the lightning data collected by the Canadian Lightning Detection Network (CLDN) and the Alaska Lightning Detection Network (ALDN). Positive anomalies of the 500 hPa geopotential height field, convective available potential energy (CAPE), number of cloud-to-ground lightning strikes, and the number of consecutive dry days are found to be statistically important to the seasonal variation of MODIS fire counts in a large portion of Canada and the entirety of Alaska. Analysis of fire occurrence patterns in the eastern and western boreal forest regions shows that dry (in the absence of precipitation) lightning strikes account for only 20% of the total lightning strikes, but are associated with (and likely cause) 40% of the MODIS observed fire counts in these regions. The chance for ignition increases when a threshold of at least 10 dry strikes per NARR grid box and at least 10 consecutive dry days is reached. Due to the orientation of the large-scale pattern, complex differences in fire and lightning occurrence and variability were also found between the eastern and western sub-regions. Locations with a high percentage of dry strikes commonly experience an increased number of fire counts, but the mean number of fire counts per dry strike is more than 50% higher in western boreal forest sub-region, suggesting a geographic and possible topographic influence. While wet lightning events are found to occur with a large range of CAPE values, a high probability for dry lightning occurs only when 500 hPa geopotential heights are above ~5700 m and CAPE values are near the maximum observed level, underscoring the importance of low-level instability to boreal fire weather forecasts.


2012 ◽  
Vol 88 (03) ◽  
pp. 298-305 ◽  
Author(s):  
Marine Elbakidze ◽  
Per Angelstam ◽  
Robert Axelsson

The Model Forest is a concept developed to facilitate implementation of sustainable forest management (SFM). The key functions of a Model Forest are to develop innovations and test new ideas related to SFM, driven by the needs, interests and challenges of Model Forest stakeholders and local communities. Russia is an important global actor when it comes to the boreal forest biome and forestry, but also has several challenges related to development of adaptive governance and the introduction of SFM. The purpose of this study is to identify landscape stakeholders—their values, needs and interests— in order to develop and adapt the governance of forest landscapes in the Kovdozersky Model Forest. The location of the Kovdozersky Model Forest in the Barents region presents opportunities for learning between Nordic countries and Russia.


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