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Vi uppmanar regeringen att kraftfullt stärka en grön omställning grundad i demokratiskt deltagande, tillit och långsiktighet. I stället för att se kritik och gnissel som hinder måste regeringen stärka processer för att lyfta fram perifera områdens perspektiv och redan i planeringsstadiet överbrygga orättvisor mellan olika platser och samhällsgrupper regionalt, nationellt och internationellt, skriver ett stort antal forskare.

Human impacts on the planet degrade natural habitats, often restricting wildlife to protected areas. If connectivity between such areas is lost, wildlife populations may lose genetic diversity, thereby increasing extinction risk. For large carnivores, connecting populations separated by human-occupied habitats requires dedicated effort to foster human–wildlife coexistence. Using lion observation data from 1962 to 2023 and movement data from GPS collars, we evaluated how inclusive conservation actions (i.e., directly involving local communities) in the Ngorongoro Conservation Area (NCA), Tanzania, are affecting the ability of lions to use and traverse human-occupied habitats. Efforts to promote human–lion coexistence were positively associated with the number of lions moving across human-occupied habitats and the ability of lions to settle in human-occupied areas, suggesting that conservation activities are having the desired impact on connectivity. However, despite a reduction in negative human–lion interactions from 2016 to 2021, the number of retaliatory lion killings and livestock attacks both increased sharply during an extreme drought in 2022, before dropping again in 2023. Thus, although our results highlight the benefits of inclusive conservation for connectivity of large carnivore populations, recent events highlight continued challenges and the need for long-term, nimble approaches to maintain balance where humans and large carnivores coexist.

Adaptive management (AM) is one approach to manage migratory waterbirds, but obstacles to the implementation of AM require adaptive capacities in the management system (rules, institutions, action situations). This study aims to examine the adaptive capacity of participatory goose management in Sweden. Considering the biophysical and institutional context, we analyzed how tangible, individual, and governance assets were associated with technical and social learning. Interviews with informants in the national council for geese, swans, and cranes, and local management groups (LMGs) were conducted, and documentation reviewed. Results revealed evidence of a local preparedness in areas with an LMG. Nevertheless, the study highlighted a need to formalize the evolving system, to consider a more systematic implementation of AM (including regulations allowing for adaptive responses), and to ensure stakeholder acceptance for management tools and visions. The study illustrates the need for a broad set of assets to ensure learning in participatory management.

Conflicts over the management and governance of forests seem to be increasing. Previous media studies in this area have largely focused on analysing the portrayal of specific conflicts. This study aims to review how a broad range of forest conflicts are portrayed in the Swedish media, analysing their temporal, spatial, and relational dimensions. We applied topic modelling, a machine learning approach, to analyse 53,600 articles published in the Swedish daily press between 2012 and 2022. We identified 916 topics, of which 94 were of interest for this study. Our results showed ten areas of forest conflicts: hunting and fishing (35 % of total coverage), energy (24 %), recreation and tourism (11 %), nature conservation (8 %), forest damages (6 %), international issues (5 %), forestry (5 %), reindeer husbandry (4 %), media and politics (2 %), and mining (1 %). The overall coverage of forest conflicts increased significantly over the study period, potentially reflecting an actual increase in forest conflicts. Some of the conflicts were continuously reported upon over time, while the coverage of others exhibited seasonal or event-related patterns. Four conflicts received most of their coverage in specific regions, while others were covered across the whole of Sweden. A relational analysis of the conflicts revealed three clusters of forest conflicts focused respectively on industrial, cultural, and conservation conflicts. Our results emphasise the value of using topic modelling to understand the overall patterns and trends of the media coverage of current land use conflicts, while also highlighting potential areas of emerging conflicts that may be of special interest for planners and policy-makers to monitor and manage.

Diminishing wild space and population fragmentation are key drivers of large carnivore declines worldwide. The persistence of large carnivores in fragmented landscapes often depends on the ability of individuals to move between separated subpopulations for genetic exchange and recovery from stochastic events. Where separated by anthropogenic landscapes, subpopulations' connectivity hinges on the area's socio-ecological conditions for coexistence and dispersing individuals' behavioral choices. Using GPS-collars and resource- and step-selection functions, we explored African lion (Panthera leo) habitat selection and movement patterns to better understand lions' behavioral adjustments in a landscape shared with pastoralists. We conducted our study in the Ngorongoro Conservation Area (NCA), Tanzania, a multiuse rangeland, that connects the small, high density lion subpopulation of the Ngorongoro Crater with the extensive Serengeti lion population. Landscape use by pastoralists and their livestock in the NCA varies seasonally, driven by the availability of pasture, water, and disease avoidance. The most important factor for lion habitat selection was the amount of vegetation cover, but its importance varied with the distance to human settlements, season and time of day. Although we noted high levels of individual variation in tolerance for humans, in general lions avoided humans on the landscape and used more cover when closer to humans. Females showed more consistent avoidance of humans and stronger use of cover when near humans than did males. Connectivity of lion subpopulations does not appear to be blocked by sparse pastoralist settlements, and nomadic males, key to subpopulation connectivity, significantly avoided humans during the day, suggesting a behavioral strategy for conflict mitigation. These results are consistent with lions balancing risk from humans with exploitation of livestock by altering their behaviors to reduce potential conflict. Our study lends some optimism for the adaptive capacity of lions to promote coexistence with humans in shared landscapes.

In recent decades, collaboration has become a common policy instrument in public administration, both internationally and in Sweden. Inspired by scholarly literature on collaborative governance, the aim of this study is to analyze the crucial role of public administration in the design and implementation of collaborative governance. Drawing on several years of research on Swedish forest policy and governance, our work is based on extensive empirical material, including 88 semi-structured interviews, observations, written comments from open public consultations and actors, enacted policy documents, open public hearings and a survey. Our results confirm that factors related to process design strongly affect the outputs and outcomes of collaboration in public administration. We assert that public officials should meticulously design and adapt the collaborative process during its initiation and progress, according to the policy problem and actors' incentives and motivations to participate. However, despite good intentions by public officials, the overarching priorities and contextual factors governing the policy area must be set by elected decision makers at an early stage to establish democratic accountability and high levels of policy legitimacy and acceptance. A major implication for public administration is that the increasing use of collaborative governance may be highly inefficient if it is difficult for participants to draft shared objectives and provide intended outputs because of low levels of trust, and different interpretations of knowledge and norms. Finally, in contentious policy areas, such as forest policy, political priorities must sometimes be set by elected decision makers rather than through collaborative processes.

Forests worldwide contain unique cultural traces of past human land use. Increased pressure on forest ecosystems and intensive modern forest management methods threaten these ancient monuments and cultural remains. In northern Europe, older forests often contain very old traces, such as millennia-old hunting pits and indigenous Sami hearths. Investigations have repeatedly found that forest owners often fail to protect these cultural remains and that many are damaged by forestry operations. Current maps of hunting pits are incomplete, and the locations of known pits have poor spatial accuracy. This study investigated whether hunting pits can be automatically mapped using national airborne laser data and deep learning. The best model correctly mapped 70% of all the hunting pits in the test data with an F1 score of 0.76. This model can be implemented across northern Scandinavia and could have an immediate effect on the protection of cultural remains.

Machine learning is becoming increasingly important in environmental decision-making, particularly in forestry. While forest-owner typologies help in understanding private forest management strategies, they often overlook owners' relationships with technology. This is crucial for ensuring that data-driven advancements in forestry benefit society. Using Swedish forestry policy as a case, we applied Q-methodology to explore forest owners' perceptions of machine learning. We conducted 11 qualitative interviews to generate 33 statements, which were then ranked by 26 participants. Inverted factor analysis identified four ideal-type perceptions of machine learning, interpreted through self-determination theory. The first perception views machine learning as unhelpful and socially disruptive. The second sees it as a complement to forest governance. The third expresses no strong opinions reflecting a relative disengagement from forestry. The fourth considers it essential for decision-making, particularly for absentee forest owners. The extracted perceptions align with existing forest owner typologies when it comes to reliance on others and willingness to take advice. The discussion includes concrete policy recommendations, focusing on privacy concerns, educational initiatives, and strategies for communicating uncertainty.