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Eastern spruce budworm (Choristoneura fumiferana Clem; SBW) is a native forest pest that can severely damage spruce-fir forests in Maine. Monitoring SBW defoliation and populations is important to ensure forest managers make timely decisions regarding forest management. This research brief presents the results of a survey of Maine’s large forest owners and managers. Our findings indicate a need for clear policies and collaborations between forest organizations to prepare for a SBW outbreak. While many forest organizations use satellite imagery, personnel capacity and lack of knowledge are barriers to using remote sensing. We recommend strengthening forest health programs by hiring a remote sensing specialist and increasing knowledge and skills around remote sensing in Maine’s forest sector. 

Values and motivations can shape natural resource management decision-making as individuals set conservation goals based on diverse, unique backgrounds, histories, and experiences. Recent literature points to the need to understand, evaluate, and articulate practitioner values to make explicit how experiences shape their work. Our research responds to calls to explore a diverse range of values and motivations among conservation practitioners. We used a qualitative approach grounded in phenomenology to advance an in-depth understanding of how conservation and stewardship practitioners experience, acknowledge, and make sense of conservation decision-making in Maine, USA. We interviewed 21 conservation and stewardship practitioners. Our results indicate the presence of complex value systems, including strong biospheric, altruistic, eudaimonic, as well as egoistic values. These values interact and intersect with motivations for participants’ careers in conservation in unique ways, driving participant actions and decision-making. Within Maine specifically, our results highlight the many areas for convergence of broad values among seemingly diverse groups that can inform opportunities for collaboration. Participants expressed various pathways to careers in conservation, where their work enables them to make a meaningful contribution to the environment and society. However in situations where personal and organizational values are misaligned, the role of organizational transparency, employee empowerment, and agency are key. Our results have implications for conservation groups seeking to achieve high employee satisfaction, as well as researchers, policymakers, and practitioners who hope to inspire individuals to take on conservation careers to create sustainable and transformative action for the future. Fostering early experiences in place, including interactions with the non-human world and local community, are important for influencing and reinforcing values and motivations for conservation action. 

Abstract We conducted a spatially explicit vulnerability assessment of the forest industry in Maine, USA, to climate change in an effort to (1) advance a spatial framework for assessing forest industry vulnerability and (2) increase our understanding of Maine’s specific vulnerabilities to climate change in order to guide decision-making. We applied a bottom-up indicator approach to evaluate exposure, sensitivity, and adaptive capacity to climate change using both biophysical and social indicators, largely driven by participatory processes. Our approach enabled us to synthesize and aggregate indicators of regional importance to evaluate vulnerability, allowing us to simultaneously examine combinations of potential changes. We found that each Maine county had its own unique combination of exposure, sensitivity, and adaptive capacity indicators, with overall vulnerability highest in the rural northern and western parts of the state, where forest industry activities are most prevalent. However, results also indicate that although increased stress from climate-related changes can negatively affect Maine’s forest via high exposure, reduced sensitivities and increased adaptive capacity have the potential to largely decrease overall vulnerability in many parts of the state. 

A fine-resolution region-wide map of forest site productivity is an essential need for effective large-scale forestry planning and management. In this study, we incorporated Sentinel-2 satellite data into an increment-based measure of forest productivity (biomass growth index (BGI)) derived from climate, lithology, soils, and topographic metrics to map improved BGI (iBGI) in parts of North American Acadian regions. Initially, several Sentinel-2 variables including nine single spectral bands and 12 spectral vegetation indices (SVIs) were used in combination with forest management variables to predict tree volume/ha and height using Random Forest. The results showed a 10–12 % increase in out of bag (OOB) r2 when Sentinel-2 variables were included in the prediction of both volume and height together with BGI. Later, selected Sentinel-2 variables were used for biomass growth prediction in Maine, USA and New Brunswick, Canada using data from 7738 provincial permanent sample plots. The Sentinel-2 red-edge position (S2REP) index was identified as the most important variable over others to have known influence on site productivity. While a slight improvement in the iBGI accuracy occurred compared to the base BGI model (~2%), substantial changes to coefficients of other variables were evident and some site variables became less important when S2REP was included.