Downloads provided by UsageCounts
Abstract Conflicts between the interests of biodiversity conservation and other human activities pose a major threat to natural ecosystems and human well‐being, yet few methods exist to quantify their intensity and model their dynamics. We develop a categorization of conflict intensity based on the curve of conflict, a model originally used to track the escalation and deescalation of armed conflicts. Our categorization assigns six intensity levels reflecting the discourse and actions of stakeholders involved in a given conflict, from coexistence or collaboration to physical violence. Using a range of case studies, we demonstrate the value of our approach in quantifying conflict trends, estimating transition probabilities between conflict stages, and modeling conflict intensity as a function of relevant covariates. By taking an evidence‐based approach to quantifying stakeholder behavior, the proposed framework allows for a better understanding of the drivers of conservation conflict development across a diverse range of socioecological scenarios.
escalation, stasis, coexistence, 577, General. Including nature conservation, geographical distribution, QH1-199.5, Miljövetenskap, deescalation, trend, stakeholder groups, discourse, Letters, armed conflict, Environmental Sciences, spatiotemporal, curve
escalation, stasis, coexistence, 577, General. Including nature conservation, geographical distribution, QH1-199.5, Miljövetenskap, deescalation, trend, stakeholder groups, discourse, Letters, armed conflict, Environmental Sciences, spatiotemporal, curve
| 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). | 43 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 38 | |
| downloads | 45 |

Views provided by UsageCounts
Downloads provided by UsageCounts