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This study aims at estimating an indicator of regional biological connectivity of semi-natural grasslands from the expected correlation between the degree of community assemblage (i.e. composition similarity) and landscape features directly related to dispersal among local communities.
Under the current context of global change that largely threatens overall biodiversity in increasingly fragmented landscapes, more insights are needed into the drivers of biological connectivity between communities (i.e. the flow of species among a set of local communities responding to landscape structure).
To optimize ecosystem function, especially in areas where multiple activities by multiple nations occur, ecosystem-based marine management approaches should be designed to preserve marine biodiversity, keystone species, and biological connectivity among marine habitats [1], [53].
While JOH is arguably not geologically part of the archipelago, it has been included due to its well-documented biological connectivity to it [16] and to provide a broader geographic range.
To further explore the control of and the biological connectivity between the HF-responsive genes, the set of 1663 genes (Figure 1B, 1C, Table S1, Table S2) was used as an input for the network analysis within the Ingenuity Pathway Analysis suite [31].
Analyses of various biological connectivity data have found therein patterns that are overrepresented and might correspond to small modules [ 4- 6] (so-called motifs).
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Hydrologic and biological connectivities from headwaters to the ocean occur in three spatial dimensions (longitudinal upstream to downstream; lateral channel to floodplain; and vertical groundwater to channel) and are dynamic (ever changing) over time, as influenced or driven by a wide variety of natural biophysical and human-mediated (cultural) processes.
Other information theoretic methods that infer biological network connectivity from data sets with larger sample sizes[14], also involve a considerable effort to remove effects that are dominated by global correlations such as the use of the data-processing inequality[15].
The biological network connectivity between genes of the novel lists and genes of known KEGG pathways was quantified as total numbers of links (edges) found in the global interaction network that connected any genes of the novel list to any genes of a given KEGG pathway.
This article proposes an inference approach utilizing prior biological knowledge of connectivity to generate a BN with biologically plausible state transition structure and explaining the observed transitions in the data.
Thus, for cases of limited experimental data, the prior biological knowledge of connectivity should be utilized to arrive at robust BNs with biologically plausible state transition structures.
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CEO of Professional Science Editing for Scientists @ prosciediting.com