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MERCIER Grégoire, LEHAIRE François, LEJEUNE Philippe [email protected] ULg - Gembloux Agro-Bio Tech - Unit of Forest and Nature Management Over the past years, the population size of red deer (Cervus elaphus L.) is following an upward trend in Wallonia. This has led to an increased pressure on vegetation as well as to forest damages of greater frequency and intensity. Among these damages, bark- stripping can be especially harmful to the timber quality due to the development of rot. CONTEXT The study site (6500 hectares) is located in the Ardennes in Southern Belgium (Wallonia) and is mainly composed of beech stands. We used data of inventory campaigns that were carried out for management purposes. In each sampling unit (total of 321 units), we measured different stand characteristics and, during a second phase, the bark-stripping damages. These latter measurements concerned the presence or absence of bark-stripping on each recorded stem and damage age (presence or not of a healing roll). Only trees with dbh greater than 5 cm were taken into account. All the data were collected in hardwood stands. MATERIAL 8000 9000 10000 11000 12000 2000 2001 2002 2003 2004 2005 2006 2007 2008 Number of red deer Years Evolution of red deer populations in Wallonia The impact of these populations may thus lead to a reduction in forest productivity and to economic losses. Nevertheless, these damages doesn’t depend only on the density of red deer but also on the environmental characteristics of their habitats. The main objective of this study is to perform a spatial analysis of the occurrence of bark stripping in order to identify the environmental factor that affect the occurrence of the damages in hardwood forests. The bark-stripping damages in coniferous stands are well-known due to the fact that they are relatively frequent. Such information is however unavailable for hardwood stands. Over one hundred variables were tested but only six of them have a significant impact on the bark-stripping rate. The results of the stepwise regression is presented in the table below as well as the contribution of each variables to the model. This model explains only 10,2% of the bark-stripping rate. collected in hardwood stands. To perform the spatial analysis, a set of environmental variables, including landscape (distances to the natural or artificial feeding points, to watering-place, to the different types of road and to the forest paths, to refuge areas for deer and to forest edges, etc.) and tree dimension variables, have been collected. The estimated red deer density was also took into account. All these variables have been included in a fixed linear model using stepwise regression. An angular transformation was applied in order to guarantee appropriate conditions of application of the linear regressions. OBJECTIVES RESULTS Variables Estimate P value Contribution (%) Intercept 0,1847 0,007535 Distance to the small forests roads -0,0001098 4,33e-07 21,1 Number of very small coniferous trees per hectare -0,0002542 0,04302 3,3 characteristics of their habitats. Establishment of acceptable levels of bark-stripping damages depending on the forest structure. Elaboration of a model at the tree scale, that could allow us to identify whether a local effect of bark-stripping exists. DISCUSSION PERSPECTIVES Number of very small coniferous trees per hectare -0,0002542 0,04302 3,3 Number of small coniferous trees per hectare 0,001359 0,015096 4,7 Proportion of middle trees 0,003072 0,006351 5,9 Mean circumference of others deciduous species than beech and oak -0,001684 0,000102 12,3 Proportion of trees having a circumference between 15 and 100 cm 0,006264 8,15e-15 52,7 Tree dimension variables explain most of the bark-stripping rate. Thus, forest structure has an important impact on the bark-stripping probability. The roads and the human activities in general can have an impact on the bark-stripping rate. These activities can disturb the red deer feeding periods during the day and lead to important bark-stripping damages. We expected to observe other variables contributing to the model such as red deer density and altitude. The absence of effect of altitude can be explained by the fact that bark-stripping of beech trees occurs mainly in summer. The scale of the study can explain the absence of red deer density.

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MERCIER Grégoire, LEHAIRE François, LEJEUNE Philippe

[email protected]

ULg - Gembloux Agro-Bio Tech - Unit of Forest and Nature Management

Over the past years, the population size ofred deer (Cervus elaphus L.) is following anupward trend in Wallonia. This has led to anincreased pressure on vegetation as well as toforest damages of greater frequency andintensity. Among these damages, bark-stripping can be especially harmful to thetimber quality due to the development of rot.

CONTEXT

The study site (6500 hectares) is located in the Ardennes inSouthern Belgium (Wallonia) and is mainly composed ofbeech stands.We used data of inventory campaigns that were carried outfor management purposes. In each sampling unit (total of321 units), we measured different stand characteristics and,during a second phase, the bark-stripping damages. Theselatter measurements concerned the presence or absence ofbark-stripping on each recorded stem and damage age(presence or not of a healing roll). Only trees with dbhgreater than 5 cm were taken into account. All the data werecollectedin hardwoodstands.

MATERIAL

8000

9000

10000

11000

12000

2000 2001 2002 2003 2004 2005 2006 2007 2008

Nu

mb

er o

f re

d d

eer

Years

Evolution of red deer populations in Wallonia

The impact of these populations may thus lead to a reduction in forestproductivity and to economic losses. Nevertheless, these damages doesn’tdepend only on the density of red deer but also on the environmentalcharacteristicsof their habitats.

The main objective of this study is toperform a spatial analysis of the occurrenceof bark stripping in order to identify theenvironmental factor that affect theoccurrence of the damages in hardwoodforests. The bark-stripping damages inconiferous stands are well-known due to thefact that they are relatively frequent. Suchinformation is however unavailable forhardwood stands.

Over one hundred variables were tested but only six of them have a significant impact on the bark-stripping rate. The results of thestepwise regression is presented in the table below as well as the contribution of each variables to the model. This model explains only10,2% of the bark-stripping rate.

collectedin hardwoodstands.To perform the spatial analysis, a set of environmentalvariables, including landscape (distances to the natural orartificial feeding points, to watering-place, to the differenttypes of road and to the forest paths, to refuge areas for deerand to forest edges, etc.) and tree dimension variables, havebeen collected. The estimated red deer density was alsotook into account. All these variables have been included ina fixed linear model using stepwise regression.An angular transformation was applied in order toguarantee appropriate conditions of application of the linearregressions.

OBJECTIVES

RESULTS

Variables Estimate P value Contribution (%)

Intercept 0,1847 0,007535

Distance to the small forests roads -0,0001098 4,33e-07 21,1

Numberof very smallconiferoustreesper hectare -0,0002542 0,04302 3,3

characteristicsof their habitats.

� Establishment of acceptable levels of bark-stripping damages depending on the forest structure.� Elaboration of a model at the tree scale, that could allow us to identify whethera local effect of bark-stripping exists.

DISCUSSION

PERSPECTIVES

Numberof very smallconiferoustreesper hectare -0,0002542 0,04302 3,3

Number of small coniferous trees per hectare 0,001359 0,015096 4,7

Proportion of middle trees 0,003072 0,006351 5,9

Mean circumference of others deciduous species than beechand oak -0,001684 0,000102 12,3

Proportion of trees having a circumference between 15 and 100 cm 0,006264 8,15e-15 52,7

Tree dimension variables explain most of the bark-stripping rate. Thus, forest structure has an important impact on the bark-strippingprobability.The roads and the human activities in general can have an impact on the bark-stripping rate. These activities can disturb the red deerfeeding periods during the day and lead to important bark-stripping damages.We expected to observe other variables contributing to the model such as red deer density and altitude. The absence of effect of altitudecan be explained by the fact that bark-stripping of beech trees occurs mainly in summer. The scale of the study can explain the absence ofred deer density.