Analysis of the parameters of the assimilation component of aboveground biomass of forest-forming species in the steppe zone of Ukraine
AbstractThe purpose this research is to study the parameters of leaf (needle) share in the trees’ greenery fraction and the content of absolutely dry matter in fresh leaves of black locust and Scots pine. The leaf (needle) share in the trees greenery fraction and the content of absolutely dry matter were determined by their quantitative measures (weight and volume). The results of the research reveal that the leaf share in the structure of a tree’s greenery fraction has a broad range of values: 43.0–72.8% for black locust and 49.1–75.4% for Scots pine. The minimum value of this parameter was recorded for an overmature Robinia specimen of 41 years of age, while the maximum was for a 3-year-old tree. For pine trees the lowest values of the given parameter were registered for the spcimens aged 38, 49 and 84, the maximum – for 30–31-year-old trees. For both investigated species it should be noted that there is a consistent pattern indicated by the following trend line: with the increase of tree age, height and trunk diameter, there is a decrease of leaf share value in the trees’ greenery fraction. Such characteristic parameter as absolutely dry mass has a sufficient range of values from 0.321 to 0.524, with the extreme values for the trees belonging to the young stock group in the case of the black locust. The absolutely dry matter content in Scots pine needles showed a significant variability of values from 0.426 to 0.620. The trend line shows a tendency of increase in the value of absolutely dry matter mass in the leaves of both investigated species with the increase in the values of the tree taxation parameters. There is no statistically proven dependency of the parameter indicating leaf share in the trees greenery fraction on the age, trunk diameter and height of trees. The most important biometric indicator, which shows a moderate relationship with the greenery fraction of a tree is the average diameter of the trunk of model trees of the two studied species. This is confirmed by values of correlation coefficients. The indicator of greenery fraction is inversely dependent on the height, trunk diameter and tree age, i.e. the increase in the values of these parameters leads to the decrease in the share of the photosynthetic active component of trees of the studied tree species in the steppe zone. The value of leaf (needle) share in trees’ greenery fraction decreases with the increasing age, height and diameter values, which is quite natural. Correlation indices of absolutely dry matter according to age, height and diameter of sample trees have negative values, while the index of leaf (needle) share of trees’ greenery fraction has a direct correlation with all the studied influence factors.
Bartelink, N.N., 1997. Allometric relationships for biomass and leaf area of beech (Fagus sylvatica L). Ann. Sci. For. 54, 39–50. >> doi.org/10.1051/forest:19970104
Brygadyrenko, V.V., 2015. Community structure of litter invertebrates of forest belt ecosystems in the Ukrainian steppe zone. Int. J. Environ. Res. 9(4), 1183–1192.
Brygadyrenko, V.V., 2016. Effect of canopy density on litter invertebrate community structure in pine forests. Ekológia (Bratislava) 35(1), 90–102. >> doi.org/10.1515/eko-2016-0007
Bonan, G.B., 1993. Importance of leaf area index and forest type when estimating photosynthesis in boreal forests. Rem. Sens. Environ. 43, 303–314. >> doi.org/10.1016/0034-4257(93)90072-6
Carter, C.T., Ungar, I.A., 2002. Aboveground vegetation, seed bank and soil analysis of a 31-years of forest restoration on coal mine spoil in southeastern Ohio. Am. Midl. Nat. 147(1), 44–59. >> doi.org/10.1674/0003-0031(2002)147[0044:avsbas]2.0.co;2
Chen, J.M., 1996. Canopy architecture and remote sensing of the fraction of photosynthetically active radiation absorbed by boreal conifer forests. IEEE Trans. Geosci. Remote Sens. 34, 1353–1368. >> doi.org/10.1109/36.544559
Christensen, M.R., Graham, M.D., Vinebrooke, R.D., Findlay, D.L., Paterson, M.J., Turner, M.A., 2006. Multiple anthropogenic stressors cause ecological surprises in boreal lakes. Glob. Change Biol. 12, 2316–2322. >> doi.org/10.1111/j.1365-2486.2006.01257.x
Clark, D., Brown, S., Kicklighter, D., Chambers, J., Thomlinson, J., Ni, J., Holland, E., 2001. Net primary production in tropical forests: An evaluation and synthesis of existing field data. Ecol. Appl. 11, 371–384. >> doi.org/10.1890/1051-0761(2001)011[0371:nppitf]2.0.co;2
Cosmo, L., Gasparini, P., Tabacchi, G., 2016. A nationalscale, stand-level model to predict total above-ground tree biomass from growing stock volume Forest Ecol. Manag. 361, 269–276. >> doi.org/10.1016/j.foreco.2015.11.008
Dong, J, Kaufmann, R., Myneni, R., Compton, J., Kauppi, P., 2003. Remote sensing estimates of boreal and temperate forest woody biomass carbon pools, sources and sinks. Remote Sens. Environ. 84, 393–410. >> doi.org/10.1016/s0034-4257(02)00130-x
Faly, L.I., Brygadyrenko, V.V., 2014. Patterns in the horizontal structure of litter invertebrate communities in windbreak plantations in the steppe zone of the Ukraine. J. Plant Prot. Res. 54(4), 414–420. >> doi.org/10.2478/jppr-2014-0062
Fleming, R.A. The Weibull model and an ecological application: Describing the dynamics of foliage biomass on Scots pine. Ecol. Model. 138, 309–319. >> doi.org/10.1016/s0304-3800(00)00410-5
Fownes, J.H., Harrington, R.A., 1991. Allometry of woody biomass and leaf area in five tropical multipurpose trees. J. Trop. For. Sci. 4(4), 317–330.
Galiano, L., Martínez-Vilalta, J., Lloret, F., 2011. Carbon reserves and canopy defoliation determine the recovery of Scots pine 4 yr after a drought episode. New Phytol. 190, 750–759. >> doi.org/10.1111/j.1469-8137.2010.03628.x
Goudie, J.W., Parish, R., Antos, J.A., 2016. Foliage biomass and specific leaf area equations at the branch, annual shoot and whole-tree levels for lodgepole pine and white spruce in British Columbia. Forest Ecol. Manag. 361, 286–297. >> doi.org/10.1016/j.foreco.2015.11.005
Hensiruk, S.A., 2002. Lіsy’ Ukrai’ny [Forests of Ukraine]. USFU, Lviv (in Ukrainian).
Hulchak, V.P. (ed.), 2011. Osnovni polozhennja organizacii’ i rozvytku lisovogo gospodarstva Dnipropetrovs’koi’ oblasti [The main provisions of forest organization and management of Dnipropetrovsk region]. Іrpin, Dnipropetrovsk (in Ukrainian).
Jagodziński, A.M., Dyderski, M.K., Rawlik, K.K., Kątna, B., 2016. Seasonal variability of biomass, total leaf area and specific leaf area of forest understory herbs reflects their life strategies. Forest Ecol. Manag. 374, 71–81. >> doi.org/10.1016/j.foreco.2016.04.050
Jelonek, T., Pazdrowski, W., Arasimowicz, M., Tomczak, A., Szaban, J., 2009. The effect of site quality and biological tree class on the crown productivity in Scots pine (Pinus sylvestris L.). Sylwan 153(5), 304–322.
Lakyda, P.I., 2003. Fitomasa lisiv Ukrai’ny [Phytomass of Ukrainian forests]. Sbruch, Ternopil (in Ukrainian).
Lakyda, P.I., Blishchik, I.B., 2010. Fitomasa vil’shnyakiv zaxidnogo Polissya Ukrai’ny [Phytomass alders in the west Polissya of Ukraine]. FOP Majdanchenko I.S., Korsun-Shevchenkivsky (in Ukrainian).
Lauri, P., Havlík, P., Kindermann, G., Forsell, N., Böttcher, H., Obersteiner, M., 2014. Woody biomass energy potential in 2050. Energ. Policy 66, 19–31. >> doi.org/10.1016/j.enpol.2013.11.033
Lovynska, V., Sytnyk, S., Kharytonov, M., Loza, I., 2016. Features of pine stands function in Dnieper North Steppe, Ukraine. Agriculture and Forestry 62(1), 155–163. >> doi.org/10.17707/agricultforest.62.1.18
Lu, M., 2006. The potential and challenge of remote sensingbased biomass estimation. Int. J. Remote Sens. 27, 1297–1328. >> doi.org/10.1080/01431160500486732
Mattsson, E., Ostwald, M., Wallin, G., Nissanka, S.P., 2016. Heterogeneity and assessment uncertainties in forest characteristics and biomass carbon stocks: Important considerations for climate mitigation policies. Land Use Policy 59, 84–94. >> doi.org/10.1016/j.landusepol.2016.08.026
Niinemets, U., 2010. Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation. Forest Ecol. Manag. 260, 1623–1639. >> doi.org/10.1016/j.foreco.2010.07.054
Sala, A., Woodruff, D., Meinzer, F., 2012. Carbon dynamics in trees: Feast or famine? Tree Physiol. 32, 764–775. >> doi.org/10.1093/treephys/tpr143
Sviridenko, V., Shvidenko, A., 1995. Lisivnictvo [Forestry]. Sil’gosposvita, Kyiv (in Ukrainian).
Sytnyk, S., Lovynska, V., Kharytonov, M., Loza, I., 2015. Effect of forest site type on the growing stock of forest-forming species under conditions of the Dnieper Steppe, Ukraine. Proc. 6th Int. Scientific Agricultural Symp. “Agrosym 2015”. Jahorina, 2118–2125.
Tobin, B., Black, K., Osbone, B., Reidy, K., Bolger, T., Nieuwenhuis, M., 2006. Assessment of allometric algorithms for estimating leaf biomass, leaf area index and litter fall in different-aged Sitka spruce forests. Forestry 79, 453–465. >> doi.org/10.1093/forestry/cpl030
Turski, M., Beker, C., Kazmierczak, K., Najgrakowski, T., 2008. Allometric equations for estimationg the mass and volume of fresh assimilational apparatus of standing Scots pine (Pinus sylvestris L.) trees. Forest Ecol. Manag. 255, 2678–2687. >> doi.org/10.1016/j.foreco.2008.01.028