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Functional niche differentiation in co-occurring congeneric plants / by Md Saiful Islam Khan.

dc.contributor.advisorMallik, Azim
dc.contributor.authorKhan, Md Saiful Islam
dc.description.abstract"Niche differentiation is argued as one of the mechanisms explaining species coexistence. Despite their sessile nature, similar resource needs and traits to acquire and utilize resources closely related plant species coexist. I hypothesized that i) spatial distribution of congeneric species would be similar because they are closely related with similar traits and resource needs and ii) each species will perform different biological functions (growth vs. reproduction) optimally at different points along a resource gradient and thereby differentiate their functional niche to ensure coexistence by complementary resource use. I collected data on two congeneric wild blueberry species, Vaccinium angustifolium and V. myrtilloides on occurrence from 13,500 20 x 20 cm quadrates, their growth and reproductive response to light and microhabitat parameters from 360 1 x 1 m quadrates along 90 30 m transects from 5 regions of NW Ontario [Northwestern Ontario]. I also grew these two species in a common garden experiment (CGE) under a shade gradient to test their response to light in competition-free environment. A chi-square test confirmed that V. angustifolium and V. myrtilloides are co-occurring species. Variance partitioning analysis revealed that light is the most important microsite variable. Frequency of occurrence showed their abundance gradually increase from low to high light with high niche overlaps. Regression model fitting of cover (indicating growth) and berry yield (indicating reproduction) along the light gradient provided species functional response curves.
dc.subjectNiche (Ecology) Ontario, Northwestern
dc.subjectPlants Habitat Ontario, Northwestern
dc.subjectResource partitioning (Ecology) Ontario, Northwestern
dc.titleFunctional niche differentiation in co-occurring congeneric plants / by Md Saiful Islam Khan.
dc.typeThesis University

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