Adaptive management, an established method in natural resource and ecosystem management, has not been widely applied to landscape planning due to the lack of an operational method that addresses the role of uncertainty and standardized monitoring protocols and methods. A review of adaptive management literature and practices reveals several key concepts and principles for adaptive planning: (1) management actions are best understood and practiced as experiments; (2) several plans/experiments can be implemented simultaneously; (3) monitoring of management actions are key; and (4) adaptive management can be understood as ‘learning by doing’. The paper identifies various uncertainties in landscape planning as the major obstacles for the adoption of an adaptive approach. To address the uncertainty in landscape planning, an adaptive planning method is proposed where monitoring plays an integral role to reduce uncertainty. The proposed method is then applied to a conceptual test in water resource planning addressing abiotic-biotic-cultural resources. To operationalize adaptive planning, it is argued that professionals, stakeholders and researchers need to function in a genuinely transdisciplinary mode where all contribute to, and benefit from, decision making and the continuous generation of new knowledge.

This study combines qualitative and quantitative research to examine perceptions held by rural households in Northern Ghana regarding the value of traditional ecological knowledge (TEK) in the management of ecosystem services. Key informant interviews (n = 14), household questionnaire surveys (n = 195), field observations, and dissemination meetings were employed to collect data. Results suggest the regular use of different but interrelated forms of TEK, i.e. taboos and totems, customs and rituals, rules and regulations, and traditional protected areas, to manage ecosystem services through existing sociocultural mechanisms. However, household awareness of TEK did not equate with compliance. A wide discrepancy in views on TEK was observed across surveyed households. A generalized linear model (GLM) regression analysis suggests age to be the most significant determinant of TEK awareness and compliance. Compared with mature and younger adults, the elderly appear more likely to be aware of and comply with characterized TEK systems. Notwithstanding these findings, the use of traditional protected areas as a form of TEK appears to be highly valued by the majority of survey participants. Demand-led research aimed at examining TEK’s role in the face of changing socioeconomic and environmental conditions can contribute to the formulation and implementation of policy-relevant strategies.

Greenspaces, including parks, provide various socio-ecological benefits such as for aesthetics, temperature remediation, biodiversity conservation, and outdoor recreation. The health benefits of urban greenspaces have received particular attention since the onset of the COVID-19 pandemic, which has triggered various movement restrictions and lifestyle changes, including regarding the frequency of people’s visits to greenspaces. Using mobile-tracking GPS data of Kanazawa citizens, we explored how citizens’ behaviors with respect to outings changed before and during Japan’s declaration of a COVID-19 state of emergency (April–May 2020). We also examined citizens’ greenspace visits in relation to their travel distance from home. We found that Kanazawa citizens avoided going out during the pandemic, with a decrease in the number, time, and distance of outings. As for the means of transportation, the percentage of outings by foot increased on both weekdays and holidays. While citizens refrained from going out, the percentage change of the percentage in large greenspace visits increased very slightly in 2020. As for greenspace visitation in 2020 compared to 2019, we found that citizens generally visited greenspaces closer to their homes, actually increasing visitation of nearby (within 1000 m) greenspaces. This study of how outing behaviors and greenspace use by Kanazawa citizens have changed underscores the value of nearby greenspaces for physical and mental health during movement restrictions under the pandemic.

In this study, we investigated the sensitivity of landscape metrics to varying grain sizes in a rural, forested landscape in Japan, contributing to a broader understanding of landscape metric behavior across different scales. We analyzed six class-level and two landscape-level metrics on a land use map at grain sizes of 5, 10, 20, 30, 40, 50, 75, and 100 m. Our results indicate that the effect of increasing grain size on landscape metrics varies depending on the specific metric and land use type. Key metrics, such as the percentage of land use types in a landscape, and two landscape-level metrics showed minimal change across the range of grain sizes. Conversely, patch density and cohesion decreased, whereas Euclidean nearest neighbor distance increased. In addition, the patch area and radius of gyration showed variable responses across different land use types, influenced by their characteristic dimensions. This study highlights the limitations of using coarse-resolution data for detailed landscape analysis, as it may not fully capture landscape change or the relationship between landscape patterns and ecological processes. We propose an optimal grain size of 5–50 m for analyzing rural forested landscapes in Japan, which effectively captures fine-scale elements critical for biodiversity conservation. This range allows accurate comparisons between different regions and land use plans, especially in satoyama landscapes. This research highlights the importance of selecting appropriate grain size in landscape analysis and interpretation of landscape metrics as well as urges researchers and policymakers to ensure accurate ecological assessments and informed decision-making.