Metsade looduslikkuse hinnangud Eesti puistute kasvukäigu püsiproovitükkidel
Laen...
Kuupäev
2012
Kättesaadav alates
ainult raamatukogus, only in library
Autorid
Ajakirja pealkiri
Ajakirja ISSN
Köite pealkiri
Kirjastaja
Abstrakt
Eesti Metsakaitsealade Võrgustiku projekti raames töötati 1999.a. metsade loodusväärtuste inventeerimiseks välja ainulaadne metoodika. Tegemist on puistu kvantitatiivsete ja kvalitatiivsete tunnuste subjektiivse hindamisega, mille käigus saadava punktisumma abil on võimalik otsustada ala loodusväärtuse üle. Sama metoodika alusel on 2006-2010. aastal hinnatud puistute looduslikkust ka Eesti puistu kasvukäigu püsiproovitükkidel. Nimetatud püsiproovitükkide võrgustik katab hästi viljakamaid kasvukohatüüpe majandatud metsades.
Bakalaureusetöö eesmärgiks on püsiproovitükkidelt kogutud metsade looduslikkuse andmete korrastamine ja analüüsimine ning materjaliks on 628 Eesti puistu kasvukäigu püsiproovitüki andmed. Käesoleva töö autor korrigeeris 2008-2010. aastal inventeerijate poolt täidetud loodusväärtuse hindamise blankette, kasutades selleks proovitükkide inventeerimisandmeid (puu tasemel mõõtmisandmeid) ning proovitükkidest süstemaatiliselt tehtud fotosid. Tulemuseks oli 152 puistu loodusväärtuse hinnangu suurenemine keskmiselt 2,6 palli võrra. Samalaadse korrigeerimise tegi Diana Laarmann 2006-2007. aastal inventeeritud püsiproovitükkidel. Andmete analüüsis kasutati korrigeeritud punktiskoore.
628 proovitükist 131 proovitükki hinnati looduslikuks metsaks, 71 proovitükki taastuvaks metsaks ning 426 majandatavaks metsaks. Inventeeritud puistute keskmised looduslikkuse punktiskoorid jaotusid looduslikkuse kategooriate kaupa järgmiselt: looduslikul metsal 14,1; taastuval metsal 13,6; majandataval metsal 7,0; kõigil kokku 9,3. Loodusväärtuse punktiskoorid saadi vahemikus -10 kuni 46. Punktiskoori minimaalne ja maksimaalne väärtus on konkreetse kategooria piirväärtusteks, kuid üldjuhul ei ole nad iseloomulikud kategooriate eristamiseks vajaliku piiri kirjeldamisel. Looduslikkuse kvantitatiivse ja kvalitatiivse hinnangu vaheline seos oli nõrk.
The original method of forest naturalness assessment was elaborated during the Estonian Forest Conservation Area Network project in 1999. The method is based on scoring of quantitative and qualitative variables; the total score represents the overall naturalness value of a given area. Same method was used for forest naturalness assessment on the Estonian Network of Forest Research Plots in 2006-2010. The network is more representative for commercial forests on fertile sites in Estonia. The aim of this baccalaureate thesis is to systematise and analyse the collected data of the forests naturalness from the data of 628 research plots of the Estonian Network of Forest Research Plots. The author of this thesis corrected the field assessment forms from 2008-2010 using individual tree measurement data and photos of sample plots. Thus the corrections on 152 sample plots in average +2.6 points in total score of forest naturalness were made. Similar corrections were made by Diana Laarmann also on the sample plots inventoried in 2006-2007. Adjusted scores were used in further data analysis. Assessment results showed that natural forests were on 131 sample plots, recovering forests on 71 sample plots and managed forests on 426 sample plots from the total of 628 sample plots. The average naturalness score was 14.1 for natural forests, 13.6 for recovering forests, 7.0 for managed forests; average for all inventoried stands was 9.3 points. The naturalness score in total was in range from -10 to 46. The minimum and maximum values of the naturalness score are limits for the category of naturalness but, in general, these are not suitable for the differentiation of the categories. Relationship between the quantitative and qualitative assessment of naturalness was rather weak.
The original method of forest naturalness assessment was elaborated during the Estonian Forest Conservation Area Network project in 1999. The method is based on scoring of quantitative and qualitative variables; the total score represents the overall naturalness value of a given area. Same method was used for forest naturalness assessment on the Estonian Network of Forest Research Plots in 2006-2010. The network is more representative for commercial forests on fertile sites in Estonia. The aim of this baccalaureate thesis is to systematise and analyse the collected data of the forests naturalness from the data of 628 research plots of the Estonian Network of Forest Research Plots. The author of this thesis corrected the field assessment forms from 2008-2010 using individual tree measurement data and photos of sample plots. Thus the corrections on 152 sample plots in average +2.6 points in total score of forest naturalness were made. Similar corrections were made by Diana Laarmann also on the sample plots inventoried in 2006-2007. Adjusted scores were used in further data analysis. Assessment results showed that natural forests were on 131 sample plots, recovering forests on 71 sample plots and managed forests on 426 sample plots from the total of 628 sample plots. The average naturalness score was 14.1 for natural forests, 13.6 for recovering forests, 7.0 for managed forests; average for all inventoried stands was 9.3 points. The naturalness score in total was in range from -10 to 46. The minimum and maximum values of the naturalness score are limits for the category of naturalness but, in general, these are not suitable for the differentiation of the categories. Relationship between the quantitative and qualitative assessment of naturalness was rather weak.
Kirjeldus
Märksõnad
metsad, puistud, kasv, inventuur, metsahindamine, hinnangud, Eesti, bakalaureusetööd