SESYNC is committed to public dissemination of data and to open-source software development and distribution. When synthesis projects result in the creation of original datasets or databases, new software or web tools, analysis or model code, SESYNC will work with science teams to locate appropriate repositories and long-term storage for these resources. See below for a list of datasets, software tools, and computationally-oriented publications from on-going and completed SESYNC-supported projects:
|Modeling tiger population and territory dynamics using an agent-based approach||
Jun 24, 2015
Article published in Ecological Modelling.
|Health, wealth, and education: the socioeconomic backdrop for marine conservation in the developing world||
Jun 18, 2015
Article published in Marine Ecology Progress Series.
|Do Growing Degree Days Predict Phenology Across Butterfly Species?||
Jun 01, 2015
Article published in Ecology.
|Resilience and reactivity of global food security||
May 12, 2015
Article published in Proceedings of the National Academy of Sciences.
|A Citizen Army for Science: Quantifying the Contributions of Citizen Scientists to our Understanding of Monarch Butterfly Biology||
Apr 07, 2015
Article published in BioScience.
|Exploring sprawl: Results from an economic agent-based model of land and housing markets||
Apr 02, 2015
Article published in Ecological Economics.
|Local cooling and warming effects of forests based on satellite observations||
Mar 31, 2015
Article published in Nature Communications.
|Developing Scientific Software throught the Open Community Engagement Process||
Feb 10, 2015
White paper published on figshare.
|A simple example of a socio-environmental system: coupled rabbit and farm dynamics||
Jan 12, 2015
Quantitative models are excellent tools for understanding the dynamics of complex socio-environmental systems (SES), and for explicating those dynamics in a meaningful way to students. Here we utilize both a dynamical and an agent-based model to examine a suite of human-environment interactions in a hypothetical SES. Specifically, the hypothetical SES involves the management of rabbit populations while maximizing nearby farm productivity and profitability. The purpose of this exercise is to demonstrate how manipulating different components of these two alternative models can help students visualize and analyze key features of the SES, such as feedbacks and adaptation. The models also allow students to assess how different decisions, like implementing certain policies, influence tradeoffs and synergies in the SES.
|Impacts of people and tigers on leopard spatiotemporal activity patterns in a global biodiversity hotspot||
Dec 09, 2014
Article published in the journal Global Ecology and Conservation.