TY - JOUR
T1 - Collective action for changing forests
T2 - A spatial, social-ecological approach to assessing participation in invasive plant management
AU - Sullivan, Abigail
AU - York, Abigail M.
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation Dynamics of Coupled Natural and Human Systems Program grant number 1211498 and the Environmental Resilience Institute, funded by Indiana University's Prepared for Environmental Change grand challenge initiative. Any opinions, findings, and conclusions or recommendation expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The authors would like to thank all of the people in Chitwan who generously shared their knowledge and time with the research team and their community and the Institute for Social and Environmental Research-Nepal team for all of their work helping to run fieldwork on the ground. We would also like to thank the anonymous reviewers and the editors for their insightful feedback on this article.
Funding Information:
This material is based upon work supported by the National Science Foundation Dynamics of Coupled Natural and Human Systems Program grant number 1211498 and the Environmental Resilience Institute, funded by Indiana University’s Prepared for Environmental Change grand challenge initiative. Any opinions, findings, and conclusions or recommendation expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The authors would like to thank all of the people in Chitwan who generously shared their knowledge and time with the research team and their community and the Institute for Social and Environmental Research-Nepal team for all of their work helping to run fieldwork on the ground. We would also like to thank the anonymous reviewers and the editors for their insightful feedback on this article.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/11
Y1 - 2021/11
N2 - Environmental governance research has discovered much about what drives collective action to address human-environment issues, including factors such as risk perceptions and self-efficacy. Yet the design of many studies limits our ability to draw conclusions about collective action under conditions of environmental change, especially across spatial or temporal scales. In this study, we integrate social and biophysical data—assessing data over time and examining the influence of space—to analyze efforts by community members to manage rapid environmental change in the form of an invasive plant (Mikania micrantha) in community forests in Chitwan, Nepal. Invasive species are an increasingly complex ethical, cultural, and ecological issue that is becoming more pressing with global environmental and social changes. We combine household surveys, ecological surveys, and spatial data in Bayesian hierarchical linear models to explore changes in the drivers of collective action since initial household surveys in 2014. We find that risk perceptions, reliance on forest resources, perceptions of forest safety, and M. micrantha abundance were the most influential factors in our models. Additionally, our findings suggest that the influence of M. micrantha abundance on collective action varies across spatial scales, indicating important interactions between social and biophysical drivers of collective action. Ultimately, our results highlight the importance of considering social and biophysical factors across space and time to inform the design of institutions that will be effective in addressing collection action problems tied to environmental change.
AB - Environmental governance research has discovered much about what drives collective action to address human-environment issues, including factors such as risk perceptions and self-efficacy. Yet the design of many studies limits our ability to draw conclusions about collective action under conditions of environmental change, especially across spatial or temporal scales. In this study, we integrate social and biophysical data—assessing data over time and examining the influence of space—to analyze efforts by community members to manage rapid environmental change in the form of an invasive plant (Mikania micrantha) in community forests in Chitwan, Nepal. Invasive species are an increasingly complex ethical, cultural, and ecological issue that is becoming more pressing with global environmental and social changes. We combine household surveys, ecological surveys, and spatial data in Bayesian hierarchical linear models to explore changes in the drivers of collective action since initial household surveys in 2014. We find that risk perceptions, reliance on forest resources, perceptions of forest safety, and M. micrantha abundance were the most influential factors in our models. Additionally, our findings suggest that the influence of M. micrantha abundance on collective action varies across spatial scales, indicating important interactions between social and biophysical drivers of collective action. Ultimately, our results highlight the importance of considering social and biophysical factors across space and time to inform the design of institutions that will be effective in addressing collection action problems tied to environmental change.
KW - Bayesian modeling
KW - Environmental governance
KW - Human-environment
KW - Institutions
KW - Invasive species
KW - Social-ecological systems
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U2 - 10.1016/j.gloenvcha.2021.102366
DO - 10.1016/j.gloenvcha.2021.102366
M3 - Article
AN - SCOPUS:85115015818
SN - 0959-3780
VL - 71
JO - Global Environmental Change
JF - Global Environmental Change
M1 - 102366
ER -