With this study we demonstrate the importance of considering interactions between spatial networks in ecological analyses.
Ecological analyses examine the spatial distribution of disease incidence in relation to explanatory factors (Lawson et al. 2016).
For better environmental management, policy makers and decision makers need a variety of tools and methods that allow social and ecological analyses of social-ecological processes and systems.
The techno-economic and ecological analyses of the two processes need to be conducted to assess their potential for the on-farm applications.
In contrast, the ecological analyses show that prioritizing the protection and enhancement of the relatively better-off areas is more ecologically effective.
Moreover, as results from the ecological analyses reveal, the available phosphorus, nitrogen and carbon in the soil were found to be high in highly and intermediate P. juliflora-infested sites.
The methodology, which includes a sequence of rigorous analyses and calculations, is intended to reduce the addition of uncertainty to the climate data as a result of the downscaling while providing the fine-scale climate information necessary for ecological analyses.
However, not all of the variance that results from the transformation procedure is unhelpful for ecological analyses.
Indeed, ecological analyses of leaf morphological and physiological characters in dry environments [23], [24] appear to be related to speciation of Mediterranean plants.
However, subsequent genetic, cranial morphometric and ecological analyses provided evidence for the uniqueness of the kipunji and led to its being placed into a new genus [2], [4], [6].
Using community ecological analyses, we found evidence supporting clinical observations that diabetics were more likely to be colonized with Streptococcaceae and determined that recent antibiotic use was associated with increased Pseudomonadaceae colonization.
