Dendrochronological study of Cedrus deodar Grown at Kumrat valley Dir Upper KPK, Pakistan: Evaluation of Tree Age and Increment Based on Increment Core
The present research was conducted for tree-rings study in a mixed stand of Himalayan Species Credur deodar in Kumrat valley Dir Upper KPK, Pakistan. Tree-rings analysis was related to the counting of tree ring. Random sampling method was used, and 70 sample trees were selected, tree heights and diameters were measured, and increment cores were collected from each sample-tree diameter at the height at breast point to be analyzed and studied in the laboratory. The objectives of the study were to determine the exact age of tree and to evaluate total and mean annual increment in the basal area and tree volume based on the increment cores. Regression models revealed the impacts of tree age on the basal area and tree-volume increment. Results showed the minimum basal-area increment was 0.0028 m2 at the age of 10 years, the maximum basal-area increment was 2.658 m2 at the age of 60 years, with mean was 0.95±0.677 m2 at the age of 36 years and R2 was 0.9593. The maximum tree-volume increment was 1.42 m3 at the age of 60 years, the minimum tree-volume increment was 0.010 m3 at the age of 10 years, with mean was 1.35±0.96 m3 at the age of 36 years and R2 was 0.9167. The minimum mean annual-basal area increment was 0.0027 m2, the maximum mean annual-basal area increment was 0.048 m2, and the average increment was 0.022±0.010 m2. The maximum mean-annual increment in tree volume was 0.068 m3 at the age of 60 years, the minimum mean-annual increment was 0.0039 m3 at the age of 10 years, with mean was 0.032±0.014 m3 at the age of 36 years and R2 was 0.8903. Results showed a strong positive relationship of tree age with area and volume increment.
Keywords: Basal area, increment, tree age, volume
Arsalan, Siddiqui MF, Ahmed M, Shaukat SS, Hussain A. 2020. Population structure, age and growth rates of conifer species and their relation to environmental variables at Malam Jabba, Swat District, Pakistan. Journal of Forestry Research, 31(2): 429–441. https://doi.org/10.1007/s11676-018-0820-5
Bhandari S. 2019. Dendroclimatic reconstruction in the Gilgit-Baltistan region of Pakistan using three Tree Genera. The College of Graduate and Professional Studies.
Bokhari TZ, Ahmed M, Khan ZUD, Siddiqui MF, Zafar MU, Malik SA. 2013. Dendroseismological potential of pine tree species of Azad Jammu and Kashmir-Pakistan: A preliminary study. Pakistan Journal of Botany. 45(6): 1865–1871.
Bradford JB, Birdsey RA, Joyce LA, Ryan MG. 2008. Tree age, disturbance history, and carbon stocks and fluxes in subalpine Rocky Mountain forests. Global Change Biology. 14(12): 2882–2897. https://doi.org/10.1111/j.1365-2486.2008.01686.x
Fichtler E. 2017. Dendroclimatology using tropical broad-leaved tree species: a review. Erdkunde, 71(1): 5–22. http://www.jstor.org/stable/44280263
Heuret P, Caraglio Y, Sabatier SA, Barthélémy D, Nicolini EA. 2016. Retrospective analysis of plant architecture: an extended definition of dendrochronology. Tropical Ecology and Society Reconciliating Conservation and Sustainable Use of Biodiversity. Program and Abstracts.
Ijaz F, Rahman IU, Iqbal Z, Alam J, Ali N, Khan SM. 2018. Ethno-ecology of the Healing Forests of Sarban Hills, Abbottabad, Pakistan: An Economic and Medicinal Appraisal. In Plant and Human Health. 1(09): 675–706. Springer International Publishing. https://doi.org/10.1007/978-3-319-93997-1_19
Iqbal J, Ahmed M, Siddiqui MF, Khan A. 2020. Tree Ring Studies From Some Conifers and Present Condition of Forests of Shangla District of Khyber Pakhtunkhwa, Pakistan. Pakistan Journal Botany. 52(2): 653–662. https://doi.org/10.30848/PJB2020-2(38)
Iqbal J, Siddiqui MF, Khan A, Wahab M. 2017a. Age and radial growth analysis of conifer tree species from Shangla, Pakistan. Pakistan Journal of Botany, 49: 69–72. https://www.researchgate.net/ publication/317429320
Iqbal J, Siddiqui MF, Khan A, Wahab M. 2017b. Age and radial growth analysis of conifer tree species from Shangla, Pakistan Enthnobotany and Forest ecology View project Long-Term Drought Reconstruction and Dendroecology in moist temperate areas of Pakistan Using Tree-Rings View project. https://www.researchgate.net/ publication/317429320
Khan, Adam, Ahmed M, Siddiqui MF, Iqbal J, Narayan A, Gaire P. 2018. Dendrochronological potential oAbies Pindrow royle from Indus Kohistan, Khyber Pakhtunkhwa (KPK) Pakistan). In Pakistan Journal of Botany. 50(1).
Khan, Alamgir, Ahmad A, Rahman ZSD, Qureshi R, Muhammad J. 2015. The Assessment of Carbon Stocks in the Oak Scrub Forest of Sheringal Valley Dir Kohistan. Open Journal of Forestry. 5(5): 510–517. https://doi.org/10.4236/ojf.2015.55044
Locosselli GM, Camargo EP, de Moreira TCL, Todesco E, Andrade M, de F, André CDS, de André PA, de Singer JM, Ferreira LS, Saldiva PHN, Buckeridge MS. 2019. The role of air pollution and climate on the growth of urban trees. Science of the Total Environment. 666: 652–661. https://doi.org/ 10.1016/j.scitotenv.2019.02.291
Ols C, Girardin MP, Hofgaard A, Bergeron Y, Drobyshev I. 2018. Monitoring Climate Sensitivity Shifts in Tree-Rings of Eastern Boreal North America Using Model-Data Comparison: Shifts in Tree Growth Sensivity to Climate. Ecosystems, 21(5): 1042–1057. https://doi.org/10.1007/s10021-017-0203-3
Peichl M, Arain MA. 2006. Above- and belowground ecosystem biomass and carbon pools in an age-sequence of temperate pine plantation forests. Agricultural and Forest Meteorology. 140(1–4): 51–63. https://doi.org/10.1016/j.agrformet.2006.08.004
Sajad ANJ. 2020. Evaluation of Biomass and Carbon Stocks by Inventory Method in Pure Pinus. 8(June), 371–377. http://ijmcr.com/evaluation-of-biomass-and-carbon-stocks-by-inventory-method-in-pure-pinus-roxburghii-forest-in-matta-swat-khyber-pakhtunkhwa-pakistan/
Sarangezaj OAAAM. 2017. Dendrochronological Approach To Estimate Age And Growih Rate Of Various Species From Himaiayan Region Of Pakistan. Pakistan Journal Botany. 23(1): 78–89.
Xing J, Li K, Hu W, Yuan C, Ling H. 2017. Diagnosing deep learning models for high accuracy age estimation from a single image. Pattern Recognition. 66: 106–116. https://doi.org/10.1016/j.patcog.2017.01.005
Zhao S, Pederson N, D’Orangeville L, HilleRisLambers J, Boose E, Penone C, Bauer B, Jiang Y, Manzanedo RD. 2019. The International Tree-Ring Data Bank (ITRDB) revisited: Data availability and global ecological representativity. Journal of Biogeography. 46(2): 355–368. https://doi.org/ 10.1111/jbi.13488
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