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Tree development and productivity of beech coppice stands in the Crni Vrh region

Authors:
Damjan Pantić at University of Belgrade
Damjan Pantić
Milun Krstić at University of Belgrade
Milun Krstić
Milorad Danilović at FACULTY OF FORESTRY, UNIVERSITY OF BELGRADE
Milorad Danilović
  • FACULTY OF FORESTRY, UNIVERSITY OF BELGRADE
Bratislav Matović at University of Novi Sad
Bratislav Matović
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Abstract

The trends of development and increment of individual trees, as well as the productivity of beech coppice stands in the region of Crni Vrh were studied. The trees in the category of 20% of the largest-diameter trees in the stand were analyzed by the standard dendrometric analysis, the productivity was assessed based on the values of the major taxation elements measured at the sample plots. The results of these analyses, combined with the results reported by other authors, who studied beech coppice forests at the same locality but from different aspects, enable the real and comprehensive assessment of the state of these stands. On this basis, the aim of long-term management (conversion into a high silvicultural form) and the actual silvicultural measure (high selection thinning) were defined.
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... Several studies were conducted analyzing structure, functions, silvicultural measures and other aspects in coppice forests in Europe and the Balkan region [1][2][3][4][5][6][7][8]. Authors [3][4][5][6][7][8] from South Eastern Europe (SEE) concluded that degradation and inappropriate treatments in high forests in the 20 th century resulted in degradation and appearance of coppice forests on larger areas. ...
... Several studies were conducted analyzing structure, functions, silvicultural measures and other aspects in coppice forests in Europe and the Balkan region [1][2][3][4][5][6][7][8]. Authors [3][4][5][6][7][8] from South Eastern Europe (SEE) concluded that degradation and inappropriate treatments in high forests in the 20 th century resulted in degradation and appearance of coppice forests on larger areas. Stajić et al. [3] described past and recent coppice forest management in some regions of SEE in relation to their characteristics. ...
Modelling Stand Variables of Beech Coppice Forest Using Spectral Sentinel-2A Data and the Machine Learning Approach
Article
Full-text available
  • Dec 2019
Background and Purpose: Coppice forests have a particular socio-economic and ecological role in forestry and environmental management. Their production sustainability and spatial stability become imperative for forestry sector as well as for local and global communities. Recently, integrated forest inventory and remotely sensed data analysed with non-parametrical statistical methods have enabled more detailed insight into forest structural characteristics. The aim of this research was to estimate forest attributes of beech coppice forest stands in the Sarajevo Canton through the integration of inventory and Sentinel S2A satellite data using machine learning methods. Materials and Methods: Basal area, mean stand diameter, growing stock and total volume data were determined from the forest inventory designed for represented stands of coppice forests. Spectral data were collected from bands of Sentinel S2A satellite image, vegetation indices (difference, normalized difference and ratio vegetation index) and biophysical variables (fraction of absorbed photosynthetically active radiation, leaf area index, fraction of vegetation cover, chlorophyll content in the leaf and canopy water content). Machine learning rule-based M5 model tree (M5P) and random forest (RF) methods were used for forest attribute estimation. Predictor subset selection was based on wrapping assuming M5P and RF learning schemes. Models were developed on training data subsets (402 sample plots) and evaluations were performed on validation data subsets (207 sample plots). Performance of the models was evaluated by the percentage of the root mean squared error over the mean value (rRMSE) and the square of the correlation coefficient between the observed and estimated stand variables. Results and Conclusions: Predictor subset selection resulted in a varied number of predictors for forest attributes and methods with their larger contribution in RF (between 8 and 11). Spectral biophysical variables dominated in subsets. The RF resulted in smaller errors for training sets for all attributes than M5P, while both methods delivered very high errors for validation sets (rRMSE above 50%). The lowest rRMSE of 50% was obtained for stand basal area. The observed variability explained by the M5P and RF models in training subsets was about 30% and 95% respectively, but those values were lower in test subsets (below 12%) but still significant. Differences of the sample and modelled forest attribute means were not significant, while modelled variability for all forest attributes was significantly lower (p
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Effects of selection thinning on beech tree and stand increment on Mt. Ju?ni Ku?aj
Article
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  • Jan 2004
The effects of selection thinning and spontaneous development on beech tree and stand increment were researched in the period 1986-2002. The results show the complexity of the effect of thinning on tree and stand increment. Based on the comparison of growth elements in 2002 and growth elements in 1985 before thinning, the greatest increase of total basal area (173%) and volume (269%) occurred on the control area, where 94% of trees recorded in 1985 showed increment. The lowest increase of basal area (111%) and volume (170%) occurred on the sample plot, which was thinned two times during the study period. As for the future trees, i.e. the collection of trees for comparison on the control plot, the lowest increment of basal area (198%) and volume (278%) occurred on the control plot, and a far greater increase of basal area (256% and 263%) and volume (379% and 399%) occurred on the thinned plots.
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Stand state, silvicultural demands and measures in beech forests of mixed origin in Boljevac area
Article
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  • Jan 2004
This paper presents the comparative analysis of stand state, productivity and silvicultural demands in beech stands of mixed origin, with a predominating percentage of trees of coppice origin, in different site and stand conditions, in the area of Čestobrodica and Straža. The main cruising elements were analyzed in three ecological units: Number of trees, basal area, volume, volume increment, mean stand diameters and height and the development of individual trees. The differences of the study ecological units, presented through the values of cruising elements and the phases of diameter, height and volume development of individual trees, are computed by the analysis of variance and LSD test. The analysis and the concluded significant differences enabled the real and comprehensive understanding of the state of these stands, based on which the long-term objectives of forest management were decided (conversion into a high silvicultural form) and actual silvicultural demands and measures - high selection thinning.
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State and silvicultural problems of beech forests in Northeast Serbia
Article
Full-text available
  • Jan 2002
The state and silvicultural demands in beech forests of northeast Serbia were studied in the economic regions of Severni Kučaj, Timok and Južni Kučaj, and in the region of the National Park Đerdap. The detailed analysis of state forests was performed: representation of beech forests according to silvicultural form, origin, age structure, stand state and productivity Average volume in high beech forests of 218 m3 x ha–1 is for about 5% lower than the average in Serbia (207.2 m3 x ha–1), and it amounts to 87% of the optimal volume of beech forests in Serbia. Volume increment of 4.5 m3ha–1 is approximate to the average increment of high beech forests in Serbia, and it amounts to 75% of the optimal value. The average volume of coppice beech forests of 150 m3ha–1 is 60% of the optimal volume of beech forests in Serbia The age structure is unfavourable, because the percentage of well conserved mature stands is only about 8%. Unplanned regeneration has started on about 15% of the area. Middle-aged and maturing stands account for more than 3/4 of the total area (80%). Stand state of beech forests in this region can be assessed as close to unsatisfactory, if the criteria are conservation, origin, vitality, and also the health state Based on the above state, the concrete silvicultural demands for each silvicultural situation were determined and the silvicultural measures were proposed aiming at their rational utilisation and improvement of forest state: measures aiming at the establishment of new, quality stands and measures aiming at the improvement of the state of existing forests.
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Cmatee UlyMCKOZ pOlliJa najsacmynnsenujux epcma opeeha y Cp6uju
  • Jan 1993
  • 31-47
To Mall IIh Jl. (1993): Cmatee UlyMCKOZ pOlliJa najsacmynnsenujux epcma opeeha y Cp6uju, Illynapcrao 3-5, CI1Tllll1n)J,C, Beorpaa (31-47)
economic and other significance ofbeech forests is reflected in their coeno-ecological and typological diversity, as well as in the remarkably high percentage in the growing stock
  • Damjan Pantie Milun Krstic Milorad Danilovic Bratislav Matovic Nenad
  • Tree Markovic
  • Development
  • Productivity
  • Beech
  • Stands
  • The
  • Vrh
Damjan Pantie Milun Krstic Milorad Danilovic Bratislav Matovic Nenad Markovic TREE DEVELOPMENT AND PRODUCTIVITY OF BEECH COPPICE STANDS IN THE CRNI VRH REGION Summary Ecological, economic and other significance ofbeech forests is reflected in their coeno-ecological and typological diversity, as well as in the remarkably high percentage in the growing stock
Ilpunoz n03l1aeQ1bY KJlUMamCKUX xapaxmepucmuka ucmouue Cp6uje, 360PHliK paaoaa ca VII CIIMn03IIjYM 0~)JJOPII jyroacro-nre Cpfiaje
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  • K P Ct Iih
K P CT IIh M., CTOj all OB IIh Jb. (2002): Ilpunoz n03l1aeQ1bY KJlUMamCKUX xapaxmepucmuka ucmouue Cp6uje, 360PHliK paaoaa ca VII CIIMn03IIjYM 0~)JJOPII jyroacro-nre Cpfiaje, )J,IIMIiTpOBrpan (213-217)
Ilpupoouo 06I1ae/bQ1be noousaiee U neza uucmux 6y- xoeux UlYMa, rJIaCHIiK Illyvapcsor cjJaKyJITeTa 78-79, Illyvapcxa ~)aKYJITeT YHII- Bep3IITeTa y Beorpaay
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/6): Ilpunoz n0311a6albY «eanumema u3iJa//Ql/KUX 6YK06UX UlyMa Cp6uje, 360PlllIK panosa 46-47, 1111cTlITYT aa nry-MapcTBo
  • Jan 2002
  • 53-66
  • C Qokcrna
Pasnoj crafiana II rrpOlI3BOJlHOCT 1I3JlaHa'lKIIX cacrojana 6yKBC ua nonpysjy Llpnor Bpxa KPCTlih M., C'r aj ah C., qOKcrna B., Mar o an h E. (2002/6): Ilpunoz n0311a6albY «eanumema u3iJa//Ql/KUX 6YK06UX UlyMa Cp6uje, 360PlllIK panosa 46-47, 1111cTlITYT aa nry-MapcTBo, Beorpazt (53-66)
HCmpaJICU6Q1be ymuuaja cacmojuncxoz 06!1ltKa U enestenama cmpykmype ua lIal/UII otiuoee U npooyxmuenocm cacmojuua 6YK6e ua jY
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M IIJIIIH )1(. (1965): HCmpaJICU6Q1be ymuuaja cacmojuncxoz 06!1ltKa U enestenama cmpykmype ua lIal/UII otiuoee U npooyxmuenocm cacmojuua 6YK6e ua jY.JICIIOM Kynajy, rJIaCHIiK Illyvapcxor cjJaKyJITeTa 32, WyMapcKII cjJaKyJITeT YHIIBCp3IITeTa y Beorpaay, Beorpan (1-127)
Pesynmamu ucmpascueasea najnoeon.uujux uemooa npopeoa 6yKoeux tuyua, npexo uayuno-npouseoonux ozneoa ua noopyujy UlyMCKUX cexuuja Bon.eeau U Bop
  • Jan 1986
  • 1-190
Cr oj a ao a ah Jb., MIIJIlilI )1(. (1987): Pesynmamu ucmpascueasea najnoeon.uujux uemooa npopeoa 6yKoeux tuyua, npexo uayuno-npouseoonux ozneoa ua noopyujy UlyMCKUX cexuuja Bon.eeau U Bop y 1986 zoo., cryaaja, WYMapcKIi cjJaKyJITeT YHIIBep3IITeTa y Eeorpany, Beorpaa (1-190)
Hcmpa.JICU6Q1be paseoja, npooyxuuje U uajnoeon.nujux uemooa ueze unaoux 6yKO-eux UlYMa, llyfinuxaunja yuanpehen,e tnysra II uryuapcraa pernona T. Y)J(lIlIe
  • Jan 1990
  • 131-154
  • Blin Jb
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CTOj au 0 Blin Jb., CT aM e HKO BIIn B., B y'l KO Blin M., K pCT lin M., E 061I 1I all M. (1990): Hcmpa.JICU6Q1be paseoja, npooyxuuje U uajnoeon.nujux uemooa ueze unaoux 6yKO-eux UlYMa, llyfinuxaunja yuanpehen,e tnysra II uryuapcraa pernona T. Y)J(lIlIe, KlhlIra 2, Beorpan (131-154)
/97): Ilpupoouo 06I1ae/bQ1be noousaiee U neza uucmux 6y-xoeux UlYMa, rJIaCHIiK Illyvapcsor cjJaKyJITeTa 78-79, Illyvapcxa~)aKYJITeT YHII-Bep3IITeTa y Beorpaay
  • Jan 1996
  • 149-167
  • Biih Jb
  • M K P Ctiin
CTOj all 0 BIIh Jb., K P CTIIn M.(1996/97): Ilpupoouo 06I1ae/bQ1be noousaiee U neza uucmux 6y-xoeux UlYMa, rJIaCHIiK Illyvapcsor cjJaKyJITeTa 78-79, Illyvapcxa~)aKYJITeT YHII-Bep3IITeTa y Beorpaay, Beorpaa (149-167)