Publications & Results

Publications and outcomes from on-going and completed projects.

Resource Title	Brief Summary
Qualitative Data Recommendations for Research Institutions	Feb 08, 2018 This is a two-page summary of key opportunities and challenges for sharing and re-using qualitative data in socio-environmental synthesis, with recommendations for actions that research institutions can take to encourage and support qualtiative data sharing and re-use.
Qualitative Data Recommendations for Researchers	Feb 08, 2018 This is a two-page summary of key opportunities and challenges for sharing and re-using qualitative data in socio-environmental synthesis, with recommendations for actions that individual researchers and research teams can take to encourage and support qualtiative data sharing and re-use.
Qualitative data sharing and re-use for socio-environmental systems research: A synthesis of opportunities, challenges, resources and approaches	Feb 01, 2018 This white paper discusses opportunities, challenges, resources and approaches for qualitative data sharing and re-use for socio-environmental research. The content and findings of the paper are a synthesis and extension of discussions that began during a workshop funded by the National Socio-Environmental Synthesis Center (SESYNC) and held at the Center Feb. 28-March 2, 2017.
Qualitative data sharing and synthesis for sustainability science	Nov 25, 2019 Article published in Nature Sustainability.
Quantifying ecological and social drivers of ecological surprise	May 02, 2018 Article published in Journal of Applied Ecology.
Quantifying ecosystem service flows at multiple scales across the range of a long-distance migratory species	Apr 21, 2018 Article published in Ecosystem Services.
Quantifying Nutrient Budgets for Sustainable Nutrient Management	Feb 19, 2020 Article published in Global Biogeochemical Cycles
Quantifying the return on investment of social and ecological data for conservation planning	Dec 19, 2019 Article published in Environmental Research Letters.
R-Slurm package	Jun 15, 2016 Many computing-intensive processes in R involve the repeated evaluation of a function over many items or parameter sets. These so-called embarrassingly parallel calculations can be run serially with the `lapply` or `Map` function, or in parallel on a single machine with `mclapply` or `mcMap` (from the parallel package). The rslurm package simplifies the process of distributing this type of calculation across a computing cluster that uses the SLURM workload manager. Its main function, `slurm_apply`, automatically divides the computation over multiple nodes and writes the necessary submission scripts. It also includes functions to retrieve and combine the output from different nodes, as well as wrappers for common SLURM commands.
Racial coastal formation: The environmental injustice of colorblind adaptation planning for sea-level rise	Oct 17, 2017 Article published in Geoforum.

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