
The dataset presented here is connected to the article "Ecosystems and Ordering: Exploring the Extent and Diversity of Ecosystem Governance," offering data about cooperation initiatives around 221 cross-bordered ecosystems. This sample of cases was selected from a list of 1525 "meta-ecosystems" catalogued by the World Wide Fund for Nature (WWF) and a team of scientists (terrestrial ecosystems, [6]; freshwater ecosystems, [2]; and marine ecosystems, [9]). The 221 ecosystems were selected because they are shared by four or more bordering countries. Departing from this unit of analysis, we researched the cooperative cross-border governance anchored in each ecosystem and categorized each of these based on the level and type of cooperation. In generating this dataset, our coding scheme was designed to also capture cases of non-cooperation: when our search protocol did not result in the identification of any initiative for an ecosystem, the ecosystem was coded as a "zero case." When we found initiatives connected to the ecosystems, our coding typology specifically classified cooperation initiatives along two dimensions: cooperation geographical scope and cooperation scope (single or multi-issue). The dataset presents ecosystem-anchored cooperation initiatives, as well as wider initiatives that may address ecosystem issues, to systematically attend to the question of the extent to which and in which form ecosystems are addressed in transboundary governance efforts. The dataset allows for further study of ecosystemic governance patterns, enabling analysis of the causes and consequences of cooperation, since it can be easily integrated with both the ecosystem and state-level data. The dataset is presented in two .csv files and has been handled with R software in order to present the visualization.
Data Article
Data Article
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
