PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Czasopismo

2014 | 158 | 06 |

Tytuł artykułu

Dokładność wzorów empirycznych służących do określania biomasy nadziemnych komponentów drzew olszy czarnej (Alnus glutinosa (L.) Gaertn.)

Treść / Zawartość

Warianty tytułu

EN
Accuracy of empirical formulas for determining aboveground biomass of black alder (Alnus glutinosa (L.) Gaertn.)

Języki publikacji

PL

Abstrakty

EN
The study investigated the accuracy of thirty equations formulated in England, Sweden, Turkey, Lithuania and Spain and which aim to determine the aboveground biomass of black alder. The reference constituted of bark, timber, stem, branches and leaves dry biomass of 168 sample trees aged 6−96 from 56 alder stands located in the western part of Kotlina Sandomierska (south−eastern Poland). The analysed formulas, considering local conditions, resulted in biased biomass calculations. The evaluation of such components as leaves, branches, trunk timber or trunk bark is subject to systematic errors larger than a dozen or so per cent, and in certain ranges of breast height diameters − up to even a couple of dozens or a few hundred per cent. Only three out of 30 formulas may be considered useful for estimating aboveground biomass of black alder in Poland.

Wydawca

-

Czasopismo

Rocznik

Tom

158

Numer

06

Opis fizyczny

s.431-442,rys.,tab.,bibliogr.

Twórcy

autor
  • Katedra Biometrii i Produkcyjności Lasu, Uniwersytet Rolniczy im.Hugona Kołłątaja w Krakowie, al.29 Listopada 46, 31-425 Kraków
autor
  • Katedra Biometrii i Produkcyjności Lasu, Uniwersytet Rolniczy im.Hugona Kołłątaja w Krakowie, al.29 Listopada 46, 31-425 Kraków
  • Katedra Biometrii i Produkcyjności Lasu, Uniwersytet Rolniczy im.Hugona Kołłątaja w Krakowie, al.29 Listopada 46, 31-425 Kraków

Bibliografia

  • Baskerville G. L. 1972. Use of logarithmic regression in the estimation of plant biomass. Canadian Journal of Forest Research 2: 49−53.
  • Bronisz K., Bronisz A., Zasada M., Bijak S., Wojtan R., Tomusiak R. 2009. Biomasa aparatu asymilacyjnego w drzewostanach sosnowych zachodniej Polski. Sylwan 153 (11): 758−767
  • Chojnacky D. C., Jenkins J. C., Holland A. K. 2008. Improving North American Forest Biomass Estimates from Literature Synthesis and Meta−Analysis of Existing Biomass Equations. W: 2008 Forest Inventory and Analysis (FIA) Symposium, 21−23 October 2008, Park City. Proc. RMRS−P−56CD. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins. 1−7.
  • Directive 2003/87/EC of the European Parliament and of the Council, of 13 October 2003, establishing a scheme for greenhouse gas emission allowance trading within the Community and amending Council Directive 96/61/EC. 2003. Official Journal of the European Union.
  • Eamus D., McGuinness K., Burrows W. 2000. Review of allometric relationships for estimating woody biomass for Queensland, the Northern Territory and Western Australia. National Carbon Accounting System Technical Report 5b. Australian Greenhouse Office, Canberra.
  • Hegazy S. S., Aref I. M., Al−Mefarrej H., El−Juhany L. I. 2008. Effect of spacing on the biomass production and allocation in Conocarpus erectus L. trees grown in Riyadh, Saudi Arabia. Saudi Journal of Biological Science 15: 315−322.
  • Helmisaari H. S., Derome J., Nöjd P., Kukkola M. 2007. Fine root biomass in relation to site and stand characteristics in Norway spruce and Scots pine stands. Tree Physiology 27: 1493−1504.
  • Hughes M. K. 1971. Tree Biocontent, Net Production and Litter Fall in a Deciduous Woodland. Oikos 22: 62−73.
  • Jelonek T., Pazdrowski W., Walkowiak R., Tomczak A. 2012. Model biomasy igliwia sosny zwyczajnej (Pinus sylvestris L.) wyrosłej w warunkach gruntów porolnych i leśnych. Leśne Prace Badawcze 73 (2): 97−106.
  • Jenkins J. C., Chojnacky D. C., Heath L. S., Birdsey R. A. 2004. Comprehensive Database of Diameter−Based Biomass Regressions for North American Tree Species. GTR−NE−319, USDA Forest Service, Northeastern Research Station, Newtown Square, PA.
  • Johansson T. 1999. Dry matter amounts and increment in 21− to 91−year−old common alder and grey alder and some practical implications. Canadian Journal of Forest Research 29: 1679−1690.
  • Johansson T. 2000. Biomass equations for determining fractions of common and grey alders growing on abandoned farmland and some practical implications. Biomass and Bioenergy 18: 147−159.
  • Mäkinen H. 1996. Effect of intertree competition on biomass production of Pinus sylvestris (L.) half−sib families. Forest Ecology and Management 86: 105−112.
  • Montero G., Ruiz−Peinado R., Munoz M. 2005. Producción de biomasa y fijación de CO2 por los bosques espańoles. Institute Nacional de Investigacion y Tecnologia Agraria y Alimentaria, Ministerio de Educacion y Ciencia, Madrid.
  • Muukkonen P. 2007. Generalized allometric volume and biomass equations for some tree species in Europe. European Journal of Forest Research 126 (2): 157−166.
  • Naidu S. L., Delucia E. H., Thomas R. B. 1998. Contrasting patterns of biomass allocation in dominate and suppressed loblolly pine. Canadian Journal of Forest Research 28: 1116−1124.
  • Ochał W., Grabczyński S., Orzeł S., Wertz B., Socha J. 2013. Alokacja nadziemnej biomasy u sosen zajmujących różne pozycje biosocjalne w drzewostanie. Sylwan 157 (10): 737−746.
  • Oleksyn J., Reich P. B., Chałupka W., Tjoelker M. G. 1999. Differential Above− and Below−ground Biomass Accumulation of European Pinus sylvestris Populations in a 12−year−old. Scandinavian Journal of Forest Research 14: 7−17.
  • Parde J. 1980. Forest biomass. Forestry Abstracts 41: 343−362.
  • Parresol B. R. 1999. Assessing tree and stand biomass: a review with examples and critical comparisons. Forest Science 45: 573−593.
  • Protokół z Kioto, do Ramowej konwencji Narodów Zjednoczonych w sprawie zmian klimatu. 2005. Dz. U. 2005 nr 203 poz. 1684.
  • Ruiz−Peinado R., Montero G., del Rio M. 2012. Biomass models to estimate carbon stocks for hardwood tree species. Forest Systems 21: 42−52.
  • Saraçog˘lu N. 2000. Sakalli Kizilag˘aç (Alnus glutinosa (L.) Gaertn. subsp. barbata (C.A. Mey.) Yalt.) Biyokütle Tablolari. Turk. J. Agric. For. 24: 147−156.
  • Snowdon P., Eamus D., Gibbons P., Khanna P. K., Keith H., Raison R. J., Kirschbaum M. U. F. 2000.
  • Synthesis of allometrics, review of root biomass and design of future woody biomass sampling strategies. National Carbon Accounting System Technical Report 17. Australian Greenhouse Office, Canberra.
  • Socha J., Kulej M. 2005. Provenance−dependent variability of Abies grandis stem form under mountain conditions of Beskid Sądecki (southern Poland). Canadian Journal of Forest Research 35: 2539−2552.
  • Socha J., Wężyk P. 2004. Empirical formulae to assess the biomass of the above−ground part of pine trees. Electronic Journal of Polish Agricultural Universities 7: 1−8.
  • Socha J., Wężyk P. 2007. Allometric equations for estimating the foliage biomass of Scots pine. European Journal of Forest Research 126: 263−270.
  • Somogyi Z., Cienciala E., Mäkipää R., Muukkonen P., Lehtonen A., Weiss P. 2007. Indirect methods of large−scale forest biomass estimation. Eur. J. Forest Res. 126: 197−207.
  • Ter−Mikaelian M. T., Korzukhin M. D. 1997. Biomass equations for sixty−five North American tree species. For. Ecol. Manage. 97: 1−24.
  • Turski M., Beker C., Kazmierczak K., Najgrakowski T. 2008. Allometric equations for estimating the mass and volume of fresh assimilational apparatus of standing Scots pine (Pinus sylvestris L.) trees. Forest Ecology and Management 255 (7): 2678−2687.
  • Vanninen P. 2004. Allocation of above−ground growth in Pinus sylvestris – impacts of tree size and competition. Silva Fennica 38 (2): 155−166.
  • Vares A. 2000. Biomass, nitrogen and phosphorus allocation in above−ground parts of Black alder (Alnus glutinosa (L.) Gaertn.) plantations. Baltic Forestry 1: 47−52.
  • Zasada M., Bronisz K., Bijak S., Wojtan R., Tomusiak R., Dudek A., Michalak K. 2008. Wzory empiryczne do określania suchej biomasy nadziemnej części drzew i ich komponentów. Sylwan 152 (3): 27−39.
  • Zhao D., Kane M., Borders B., Subedi S., Akers M. 2012. Effects of cultural intensity and planting density on stand−level aboveground biomass production and allocation for 12−year−old loblolly pine plantations in the Upper
  • Coastal Plain and Piedmont of the southeastern United States. Canadian Journal of Forest Research 42: 111−122.
  • Zianis D., Muukkonen P., Mäkipää R., Mencuccini M. 2005. Biomass and stem volume equations for tree species in Europe. Silva Fenn. ed. The Finnish Society of Forest Science, The Finnish Forest Research Institute.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-34a5d9e0-db27-4a1a-b3d6-f4169fcbf6e7
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.