Autor: |
Emery, Nathan J.1,2, Henwood, Murray J.1, Offord, Catherine A.2, Wardle, Glenda M.1, Nicotra, Adrienne |
Předmět: |
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Zdroj: |
International Journal of Plant Sciences. Oct2015, Vol. 176 Issue 8, p739-750. 12p. |
Abstrakt: |
Premise of research. Climate envelopes are generated by overlaying climate variables derived from temperature and rainfall data onto mapped geographic locations of occurrences. Typically, the species data are amalgamated into a single climate envelope, missing the opportunity to account for the potential of different environments to independently shape the functional plant trait values within populations. Here we explore how climate envelopes vary among populations and whether individuals with similar trait values are similarly matched to particular climate envelopes or to spatial layers of environmental classifications based on additional variables other than climate. Methodology. We generated climate envelopes from 35 populations of the widely distributed plant species Actinotus helianthi Labill. (Apiaceae). Populations with at least 84% similarity in their local climate were grouped by hierarchical cluster analysis. We then tested whether the similar climate envelopes would covary with populations of plants with similar traits. We also compared whether the climate envelopes were representative of other environmental groupings, including the Interim Biogeographical Regionalisation of Australia (IBRA) and soil types. Pivotal results. Plant trait values were significantly different among populations (P ≤ 0.001) and soil types (P ≤ 0.003). All traits, except main stem diameter and distance to closest conspecific, were significantly different among bioregions. Seven climate envelopes were identified across sampled populations, and plant trait values within climatically similar populations were highly dissimilar (global R = 0.09). IBRA regions and soil types showed greater similarity with plant traits (global R = 0.27 and 0.25, respectively). Conclusions. This study demonstrates how the collection of data on plant traits and other environmental factors beyond climate can improve models of species distributions. Consequently, studies that rely on climateonly data—or single broad climate envelopes—may be too general or disconnected from the population-level processes that shape the persistence and distribution of species across the landscape. [ABSTRACT FROM AUTHOR] |
Databáze: |
GreenFILE |
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