Age-related changes in leaf area index of young Scots pine stands

• Autorzy: Jagodzinski A M , Kalucka I.
• Języki publikacji: EN

Abstrakty

EN

We studied the chronosequence of six Scots pine (Pinus sylvestris L.) plantations (6-, 9-, 11-, 15-, 17-, and 20-years-old) to examine the changes in leaf area index (LAI) over stand age. The study site was located on a mine spoil heap (outer dumping ground) in the Belchatow lignite open-cast mining district (central Poland). The main goal of the study was to analyze LAI changes over stand age in a chronosequence of young Scots pine stands and to test the relationship between LAI estimates derived from a LAI-2000 Plant Canopy Analyzer and site-specific allometric equations. In addition, we tried to determine whether LAI estimated by a LAI-2000 PCA can be used to accurately estimate forest biomass. We hypothesized that LAI-2000 PCA underestimates LAI of the stands, and that stand age (and linked stand parameters) may influence the range of the hypothetical underestimation due to changes in biomass allocation. Our study revealed that LAI was highly dependent upon stand age and tree density (p<0.0001) regardless of the way how LAI was determined. Moreover, we found that LAI estimated by LAI-2000 PCA significantly correlates with stand biomass per area; the highest coefficients of determination were found for total aboveground biomass, aboveground woody biomass, and stem biomass. This means that data obtained by LAI-2000 PCA are good predictors of stand biomass in the young stages of stand development. In contrast to our prior assumption, the results showed that LAI-2000 PCA overestimates leaf area index. The relative differences between the values obtained with LAI-2000 and those calculated on the basis of the site-specific allometric equations increase with age. This may reflect changes in crown architecture over age caused by enlarging tree dimensions and over - crowding of trees leading to deterioration of light conditions inside the canopy.

Słowa kluczowe

EN

Scotch pine; Pinus sylvestris; leaf area index; age-related change; young tree; pine stand; allometric equation; chronosequence

• Wydawca: -
• Czasopismo: Dendrobiology
• Rocznik: 2008
• Tom: 59
• Opis fizyczny: p.57-65,fig.,ref.

Twórcy

autor

Jagodzinski A M

• University of Life Sciences in Poznan, Wojska Polskiego 71c, 60-625 Poznan, Poland

autor

Kalucka I.

Bibliografia

• Allen H.L., Dougherty P.M., Campbell R.G. 1990. Manipulation of water andnutrients – practice and opportunity in Southern U.S. pine forests. Forest Ecology and Management 30: 437–453.
• Breda N.J.J. 2003. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. Journal of Environmental Botany 54(392): 2403–2417.
• Cannell M.G.R. 1989. Physiological basis of wood production: a review. Scandinavian Journal of Forest Research 4: 459–490.
• Chason J.W., Baldocchi D.D., Huston M.A. 1991. A comparison of direct and indirect methods for estimating forest canopy leaf area. Agricultural and Forest Meteorology 57: 107–128.
• Cowling S.A., FieldC.B. 2003. Environmental control of leaf area production: Implications for vegetation and land-surface modelling. Global Biogeochemical Cycles 17(1), 1007.
• FordE.D. 1982. High productivity in a polestage Sitka spruce andits relation to forest structure. Forestry55: 2–17.
• Gholz H.L. 1982. Environmental limits on above groundnet primary production, leaf area and biomass in vegetation zones of the Pacific Northwest. Ecology 53: 469–481.
• Gholz H.L., Ewel K.C., Teskey R.O. 1990. Water and forest productivity. Forest Ecology and Management 30: 1–18.
• Gower S.T., Kucharik C.J., Norman J.M. 1999. Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sensing of Environment 70: 29–51.
• Grier C.C., Running S.W. 1977. Leaf area of mature northwestern coniferous forests: Relation to site water balance. Ecology 58: 893–899.
• Hirose T., Ackerly D.D., Traw M.B., Ramseier D., Bazzaz F.A. 1997. CO2 elevation, canopy photosynthesis, andoptimal leaf area index. Ecology 78(8): 2339–2350.
• Ilonen P., Kellomäki S., Hari P., Kaninen M. 1979. On distribution of growth in crown system of some young Scots pine stands. Silva Fennica 13: 316–326.
• Jarvis P.G., Leverenz J.W. 1983. Productivity of temperate, deciduous and evergreen forests. In:
• Lange O.L., Nobel P.S., OsmondC.B. andZiegler H. (eds.), Physiological plant ecology IV. Encyclopedia of plant physiology Vol. 12D. Springer, 233–280.
• Jonckheere I., Fleck S., Nackaerts K., Muys B., Coppin P., Weiss M., Baret F. 2004. Review of methods for in situ leaf area index determination. Part I. Theories, sensors andhemispherical photography. Agricultural and Forest Meteorology 121: 19–35.
• Jonckheere I., Muys B., Coppin P. 2005. Allometry andevaluation of in situ optical LAI determination in Scots pine: a case study in Belgium. Tree Physiology 25: 723–732.
• Kellomäki S., Hari P. 1980. Studies on young Scots pine stands: I. Tree class as indicator of needle biomass, illumination andphotosynthetic capacity of crown system. Silva Fennica 14: 227–242.
• Kellomäki S., Hari P., Kanninen M., Ilonen P. 1980. Eco-physiological studies on young Scots pine stands: II. Distribution of needle biomass and its application in approximating light conditions inside the canopy. Silva Fennica 14: 243–257.
• Kolari P., Pumpanen J., Rannik U., Ilvesniemi H., Hari P., Berninger F. 2004. Carbon balance of different agedScots pine forests in Southern Finland. Global Change Biology 10: 1106–1119.
• Kowalik S., Krzaklewski W., Wójcik J. 1999. Skuteczność neutralizacji toksycznie kwaśnych gruntów na zwałowisku zewnętrznym KWB „Bełchatów”. Effectiveness of neutralisation of toxically acidic soils on the outer dumping groundof the ,,Bełchatów” brown coal mine. Inżynieria Środowiska 4(2): 395–410.
• Krzaklewski W. 2005. Rekultywacja w KWB „Bełchatów” – zamierzenia, stan i perspektywy. Reclamation in the “Bełchatów” open-cast brown coal mine. Projects, conditions and perspectives. Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej 112, Konferencje 44: 411–421.
• Law B.E., Sun O.J., Campbell J., Van Tuyl S., Thornton P.E. 2003. Changes in carbon storage and fluxes in a chronosequence of ponderosa pine. Global Change Biology 9: 510–524.
• Lieffers V.J., Messier C., Stadt K.J., Gendron F., Comeau P.G. 1999. Predicting and managing light in the understory of boreal forests. Canadian Journal of Forest Research 29(6): 796–811.
• Machado J.L., Reich P.B. 1999. Evaluation of several measures of canopy openness as predictors of photosynthetic photon flux density in deeply shaded conifer-dominated forest understory. Canadian Journal of Forest Research 29(9): 1438–1444.
• Mellander P.E., Laudon H., Bishop K. 2005. Modelling variability of snow depth and soil temperatures in Scots pine stands. Agricultural and Forest Meteorology 133(1–4): 109–118.
• Miller-Goodman M.S., Moser L.E., Waller S.S., Brummer J.E., Reece P.E. 1999. Canopy analysis as a technique to characterize defoliation intensity on Sandhills range. Journal of Range Management 52: 357–362.
• Montes F., Pita P., Rubio A., Canellas I. 2007. Leaf area index estimation in mountain even-aged Pinus sylvestris L. stands from hemispherical photographs. Agricultural andForest Meteorology 145: 215–228.
• MundM., Kummetz E., Hein M., Bauer G.A., Schulze E.D. 2002. Growth andcarbon stocks of a spruce forest chronosequence in central Europe. Forest Ecology and Management 171(3): 275–296.
• Olthof I., King D.J., Lautenschlager R.A. 2003. Overstory and understory leaf area index as indicators of forest response to ice storm damage. Ecological Indicators 3(1): 49–64.
• Parker G.G., Russ M.E. 2004. The canopy surface and standd evelopment: assessing forest canopy structure andcomplexity with near-surface altimetry. Forest Ecology and Management 189(1–3): 307–315.
• Pensa M., Sellin A. 2002. Needle longevity of Scots pine in relation to foliar nitrogen content, specific leaf area andshoot growth in different forest types. Canadian Journal of Forest Research 32(7): 1225–1231.
• Rautiainen M., Stenberg P., Nilson T. 2005. Estimating canopy cover in Scots pine stands. Silva Fennica 39: 137–142.
• Sierota Z. 1995. Przerzedzanie koron drzew jako efekt stresu i źródło stresu. Sylwan 139(8): 5–24.
• Sławski M. 2000. Możliwości zastosowania pomiarów wskaźnika powierzchni liści (LAI) w monitoringu środowiska leśnego. The use of Leaf Area Index (LAI) measurements for monitoring of forest environment. Sylwan 144(1): 109–115.
• Stenberg P., Linder S., Smolander H., Flower-Ellis J. 1994. Performance of the LAI-2000 plant canopy analyzer in estimating leaf area index of some Scots pine stands. Tree Physiology 14: 981–995.
• Vose J.M., Allen H.L. 1988. Leaf area, stemwood growth, andnutrition relationships in loblolly pine. Forest Science 34: 546–563.
• Vose J.M., Dougherty P.M., Long J.N., Smith F.W., Gholz H.L., Curran P.J. 1994. Factors influencing the amount andd istribution of leaf area of pine stands. Ecological Bulletins (Copenhagen) 43: 102–114.
• Vose J.M., Swank W.T. 1990a. A conceptual model of forest growth emphasizing standleaf area. In: Dixon R.K., Meldahl R.S., Ruark G.A., Warren W.G. (Eds.). Process modeling of forest growth responses to environmental stress. Timber Press, Inc., Portland. Pp. 278–287.
• Vose J.M., Swank W.T. 1990b. Assessing seasonal leaf area dynamics and vertical leaf area distribution in eastern white pine (Pinus strobus L.) with a portable light meter. Tree Physiology 7: 125–134.
• Walter J.M.N., Himmler C.G. 1996. Spatial heterogeneity of a Scots pine canopy: an assessment by hemispherical photographs. Canadian Journal of Forest Research 26: 1610–1619.
• Watson D.J. 1947. Comparative physiological studies in the growth of fieldcrops. I. Variation in net assimilation rate andleaf area between species and varieties, andwithin andbetween years. Annals of Botany 11: 41–76.
• Weiss M., Baret F., Smith G.J., Jonckheere I., Coppin P. 2004. Review of methods for in situ leaf area index (LAI) determination. Part II. Estimation of LAI, errors andsampling. Agricultural andForest Meteorology 121: 37–53.
• Xiao C.-W., Janssens I.A., Curiel Yuste J., Ceulemans R. 2006. Variation of specific leaf area and upscaling to leaf area index in mature Scots pine. Trees 20(3): 304–310.
• Zawiła-Niedźwiecki T., Gruszczyńska M., Strzelecki P. 1993. Wskaźnik LAI w teledetekcyjnej ocenie kondycji lasu. Sylwan 136(6): 55–60.