Forest dynamics modelling under natural fire cycles: A tool to define natural mosaic diversity for forest management

1996 ◽  
Vol 39 (1-3) ◽  
pp. 417-434 ◽  
Author(s):  
Sylvie Gauthier ◽  
Alain Leduc ◽  
Yves Bergeron
Keyword(s):  
Forest Management ◽  
Forest Dynamics ◽  
Natural Fire ◽  
Mosaic Diversity ◽  
Dynamics Modelling

Analysing land cover changes for understanding of forest dynamics using temporal forest management plans

2013 ◽  
Vol 186 (4) ◽  
pp. 2089-2110 ◽  
Author(s):  
Ali İhsan Kadioğullari ◽  
Mehmet Ali Sayin ◽  
Durmuş Ali Çelįk ◽  
Süleyman Borucu ◽  
Bayram Çįl ◽  
...  
Keyword(s):  
Forest Management ◽  
Land Cover ◽  
Forest Dynamics ◽  
Land Cover Changes ◽  
Management Plans

Statistical analysis of fire frequency models for Catalonia (NE Spain), 1975 - 1998) based on fire scar maps from Landsat MSS data

2004 ◽  
Vol 13 (1) ◽  
pp. 89 ◽  
Author(s):  
Ricardo Díaz-Delgado ◽  
Francisco Lloret ◽  
Xavier Pons
Keyword(s):  
Forest Management ◽  
Rotation Period ◽  
Fire Frequency ◽  
Climatic Conditions ◽  
Burned Area ◽  
Fire Occurrence ◽  
Natural Fire ◽  
Fire Scar ◽  
Fire Intervals ◽  
Ne Spain

This paper estimates fire frequency in Catalonia (NE Spain) for the last quarter of the 20th Century (1975–1998) from historical burned area maps. Remote sensing images provided perimeters of fires ≥ 30 ha, which were used to characterize the temporal patterns of fire occurrence in Catalonia. Several fire frequency models were used to reproduce the observed pattern of wildfires occurrence in the study period. Natural fire rotation period was estimated to be 133 years. Poisson tests were carried out to check random fire occurrence either along the time period or across the analysed region. Observed fires were not randomly generated either in space or in time, despite being sampled using two different plot sizes. This sampling design was also used for Mean Fire Interval (MFI) analysis, which allowed us to significantly fit a Weibull distribution to the observed proportion of fire intervals (for both sample sizes), enabling us to estimate the hazard of burning, mortality, and survivorship functions. Finally, MFI was also applied to forest regions of Catalonia, which are defined according to forest management plans based on their homogeneous climatic conditions. Such an analysis revealed relevant differences in forest management and their consequences on fire occurrence.

Using knowledge of natural disturbances to support sustainable forest management in the northern Clay Belt

2007 ◽  
Vol 83 (3) ◽  
pp. 326-337 ◽  
Author(s):  
Yves Bergeron ◽  
Pierre Drapeau ◽  
Sylvie Gauthier ◽  
Nicolas Lecomte
Keyword(s):  
Forest Management ◽  
Sustainable Forest Management ◽  
Black Spruce ◽  
Natural Disturbance ◽  
Fire Regimes ◽  
Landscape Patterns ◽  
Management Approach ◽  
Natural Disturbances ◽  
Natural Fire ◽  
Coarse Filter

Several concepts are at the basis of forest ecosystem management, but a relative consensus exists around the idea of a forest management approach that is based on natural disturbances and forest dynamics. This type of approach aims to reproduce the main attributes of natural landscapes in order to maintain ecosystems within their natural range of variability and avoid creating an environment to which species are not adapted. By comparing attributes associated with natural fire regimes and current forest management, we were able to identify four major differences for the black spruce forest of the Clay Belt. The maintenance of older forests, the spatial extent of cutover areas, the maintenance of residuals within cutovers and disturbance severity on soils are major issues that should be addressed. Silvicultural strategies that mitigate differences between natural and managed forests are briefly discussed. Key words: natural disturbance, landscape patterns, coarse filter, harvest pattern, volume retention, historic variability, even-aged management

scholarly journals Influence of Forest Management Regimes on Forest Dynamics in the Upstream Region of the Hun River in Northeastern China

PLoS ONE ◽  
2012 ◽  
Vol 7 (6) ◽  
pp. e39058 ◽  
Author(s):  
Jing Yao ◽  
Xingyuan He ◽  
Anzhi Wang ◽  
Wei Chen ◽  
Xiaoyu Li ◽  
...  
Keyword(s):  
Forest Management ◽  
Forest Dynamics ◽  
Northeastern China ◽  
Upstream Region ◽  
Management Regimes ◽  
Hun River

Preindustrial reconstruction of a perhumid midboreal landscape, Anticosti Island, Quebec

2010 ◽  
Vol 40 (5) ◽  
pp. 928-942 ◽  
Author(s):  
Martin Barrette ◽  
Louis Bélanger ◽  
Louis De Grandpré
Keyword(s):  
Forest Management ◽  
Forest Dynamics ◽  
Sustainable Forest Management ◽  
Abies Balsamea ◽  
Natural Disturbance ◽  
Balsam Fir ◽  
Dynamics Model ◽  
Disturbance Dynamics ◽  
Cyclic Model ◽  
Anticosti Island

The knowledge of natural disturbance dynamics and preindustrial landscapes is essential to implement sustainable forest management. Recent findings identify the lack of a forest dynamics model, different from the standard cyclic model of Baskerville (1975. For. Chron. 51: 138–140), for balsam fir ( Abies balsamea (L.) Mill.) ecosystems of maritime eastern Canada. With the use of historical forest maps and dendrochronology, we reconstructed the range of variability of the preindustrial landscape (6798 km2) and inferred on the natural disturbance dynamics of the balsam fir forest of Anticosti Island. The preindustrial landscape was characterized by a forest matrix of overmature softwood stands with inclusions of younger softwood stands ranging from 0.1 to 7837 ha in size. Widespread stand-initiating events were apparently rare in the preindustrial landscape over the last 160 years. Since our results were not well represented by the cyclic model, which predicts the occurrence of a mosaic of stands in different age classes, we proposed an alternative forest dynamics model for eastern balsam fir ecosystems near the Gulf of St. Lawrence. Forest management inspired by this alternative model may be more appropriate to maintain or restore ecological characteristics of balsam fir forests of this region within their range of natural variability.

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