Factors Influencing Family Forest Owners' Interest in Community-led Collective Invasive Plant Management.

Effective invasive plant management requires collective action. However, little is known about what motivates individuals to work collectively. We conducted a mail survey of 2,600 randomly selected family forest owners in Indiana, USA to examine factors associated with community-led collective action. Specifically, we examined the role of perceived self-efficacy, perceived collective efficacy, concerns about invasive plants, and social norms associated with invasive plant management in shaping family forest owners' self-reported likelihood to work with their neighbors to remove invasive plants. We found that past experience talking to others or working with neighbors to remove invasive plants were important predictors of landowners' intention to work collectively, as were perceived self-efficacy in their own ability to manage invasive plants, perceived need for collective action, social norms, and concerns about invasive plants on neighboring or nearby properties. However, most socio-demographic characteristics (e.g., age, gender, education level, income) and land ownership characteristics (e.g., residence status, having a written forest management plan) were not statisically significant predictors of family forest owners' likelihood to work with their neighbors. Our findings suggest that building individual sense of competence, facilitating neighbor interactions, and strengthening shared concerns may facilitate community-led collective action to manage invasive plants.

Understanding invasive plant management on family forestlands: An application of protection motivation theory.

Invasive forest plants are a growing concern because of their perceived and actual negative ecological, economic, and social impacts. To effectively manage invasive plants in forest ecosystems, it is paramount to understand the management decisions made by family forest owners (FFOs), who collectively own 36% of forestlands in the United States. We contribute to the growing literature on invasive plant management and the factors that influence FFOs' likelihood to manage invasive plants on their property by incorporating protection motivation theory (PMT; Rogers 1975). Protection Motivation Theory argues that the degree to which individuals protect themselves from a perceived threat varies as a function of the perceived severity of the threat, their vulnerability to the threat, their perceptions of self-efficacy to effectively mitigate the threat, and the degree to which they believe they have access to the resources needed to effectively respond to the threat. We surveyed a random sample of 2,600 FFOs in Indiana about their knowledge, perceptions, experience, and plans regarding invasive plants on their wooded lands. Consistent with PMT, we constructed a hierarchical binary logistic model and found that FFOs reported greater intentions to manage invasive plants when they perceived the problem to be more severe and also when they felt a stronger sense of self-efficacy to address the problem. Although perceived vulnerability was not significant in our final model, our results also show that FFOs who had previous invasive plant management experience, had a Bachelor's degree or higher level of education, owned woodlands for recreational purposes, and were more subject to normative social influence also tended to report greater intentions to manage invasive plants. Together, these results suggest that components of PMT (perceived severity and self-efficacy) may be used to inform potential strategies, programs, and outreach for engaging family forest owners in invasive plant management.

Socio-ecological connectivity differs in magnitude and direction across urban landscapes.

Connectivity of social-ecological systems promotes resilience across urban landscapes. Community gardens are social-ecological systems that support food production, social interactions, and biodiversity conservation. We investigate how these hubs of ecosystem services facilitate socio-ecological connectivity and service flows as a network across complex urban landscapes. In three US cities (Baltimore, Chicago, New York City), we use community garden networks as a model system to demonstrate how biophysical and social features of urban landscapes control the pattern and magnitude of ecosystem service flows through these systems. We show that community gardens within a city are connected through biological and social mechanisms, and connectivity levels and spatial arrangement differ across cities. We found that biophysical connectivity was higher than social connectivity in one case study, while they were nearly equal in the other two. This higher social connectivity can be attributed to clustered distributions of gardens within neighborhoods (network modularity), which promotes neighborhood-scale connectivity hotspots, but produces landscape-scale connectivity coldspots. The particular patterns illustrate how urban form and social amenities largely shape ecosystem service flows among garden networks. Such socio-ecological analyses can be applied to enhance and stabilize landscape connectedness to improve life and resilience in cities.