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Analysis of Functional Leaf Trait Variation among the Dominant Understorey Species in the Pine Forest of Morni Hills, Panchkula, Haryana
Author(s) -
Somveer Jakhar,
Himanshi Dhiman,
Harikesh Saharan
Publication year - 2021
Publication title -
journal of tropical life science
Language(s) - English
Resource type - Journals
eISSN - 2527-4376
pISSN - 2087-5517
DOI - 10.11594/jtls.11.02.13
Subject(s) - specific leaf area , biology , understory , shrub , botany , ecosystem , agronomy , ecology , canopy , photosynthesis
The functional diversity is an essential concept in the field of ecology. It refers to the relative abundance, range, and value of the functional traits present in a given community or ecosystem. Plant functional traits (leaf traits, stem traits, root traits, etc.) create a link between an ecosystem processes and plant physiology and thus offer a powerful means to study the global change on vegetation dynamics and ecosystem processes. When plant species grown in different environments, their physiological and functional traits get modifed due to changes in site-specific conditions. In the present study, leaf functional traits (leaf size-LS, specific leaf areaSLA, leaf dry matter content-LDMC, leaf nitrogen content-LNC, leaf phosphorus content-LPC and leaf nitrogen to phosphorus ratio-N:P) of twelve dominant understorey species (6 shrubs and 6 herbs) were examined in the Pine forest of Morni Hills range of lower Shivaliks, Haryana, India. During the study, the maximum value of leaf size was obtained for Murraya koenigii and Cynoglossum zeylanicum, while the maximum value of LDMC was obtained for Toxicodendron parviflorum and Dicliptera chinensis among shrubs and herbs respectively. Other than this, highest value of SLA, LPC and LNC were calculated for Parthenium hysterophorus among shrubs and Oxalis corniculata among herbs. The calculated values were also found to be significantly correlated among the selected plant species. The SLA was found to be negatively correlated with, LDMC and LPC whereas positively correlated with LNC and N:P. The present study represents a step forward in the direction of functional ecology performed in the forest ecosystems of Haryana. This study is essential for predicting the patterns of community assembly as well as for describing species contributions to ecosystem processes.

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