16 research outputs found
Abundance-occupancy relationships in North Sea copepods: ventures into time and space.
Abundance-occupancy relationships (AORs), namely the generally positive relationship between species’ mean local abundance and regional distribution represent the most ubiquitous macroecological pattern found in nature. Their importance lies in that they link local population processes to larger scale population structure. However, they exhibit much variability in shape and form and attempts to untangle the variety of processes proposed to underlie them indicates that interpretation of AORs is highly context specific and dependent on the temporal and spatial scales of both data and analyses.
The overarching theme of this thesis was to examine the cross-scale temporal behaviour of AORs, by using long-term copepod time-series and varying the extents and resolutions of analyses through space and time. To increase the spatial resolution of the data, I used a species distribution modeling approach to interpolation, incorporating satellite data, including measures of hydrographic structure, an important driver of plankton spatial distributions. The resulting high-resolution maps of copepod abundance distribution are an important output with wide ranging application.
I found significant heterogeneities in the relationship on decadal, inter-annual and seasonal scales, with higher-level dynamics often masking highly contrasting dynamics at lower levels. Patterns of temporal heterogeneity varied interspecifically and, consistent with theory, appear to be linked to life-history characteristics related to colonization ability. Identifying time periods or scales most relevant to species’ population dynamics allowed a better understanding of how life-history traits interact with various scales of environmental variability to generate interspecific differences in AORs.
Identification of heterogeneities is thus an important step in linking macroecological pattern to process and leads to an appreciation of the hierarchical nature of the relationship. I also demonstrated that AORs provide an excellent framework for examining the response of species’ regional population dynamics to environmental change
Sex roles in birds
This app is a demo of a private application, developed to navigate a large compiled dataset of over 200 avian biological traits. It's designed to enable quick access to visual representations and summaries of data, supporting exploratory data analysis and quality control, eg through easy identification of outliers, expected ranges, distributions of data etc. The cross-variable tab enables visualisation of relationships between traits while the download tab allows subsetting and extraction of data. Interactivity was integrated into the visualisations to allow users full control of aspects of interest while determination of correct plot types and application of widget features (eg logging or bin selection) is automated according to trait metadata
Introduction to version control with RStudio
Introduction to version control with RStudi
ropensci/codemetar: codemetar: Generate CodeMeta Metadata for R Packages
an R package for generating and working with codemet
ropensci/rdhs v0.6.3
<ul>
<li>Addresses CRAN fail on windows </li>
<li>New <code>delabel_df</code> for converting labelled data frames to characters (#54)</li>
</ul>