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The contribution is focused on the assessment of the current state of use of the landscape potential of the Poľana Biosphere Reserve and the specification of the basic landscape-ecological problems associated with the inappropriate use of the potential. In this area, we have singled out the following: problems of biodiversity and ecological stability threats, caused by stress factors linked to the inappropriate use of the landscape’s potential and its elements with high ecological-stabilizing functions (forests, water bodies, meadows, pastures or public greenery); problems of natural resource endangerment – resulting from improper human use of natural resources; problems threatening the human society’s environment, arising from stress factors linked to socioeconomic activities impacting humans and their surroundings; and problems threatening biocultural landscape values, arising from inappropriate landscape management, which endangers rare landscape types. The assessment subsequently resulted in a proposal for basic measures to eliminate the specified problems and a proposal ensuring sustainable utilization of landscape potential Poľana Biosphere Reserve. The methodological procedure based on an integrated approach after some modification can also be used in other biosphere reserves.

Generating actionable knowledge to meet current sustainability challenges requires unprecedented collaboration across scales, geographies, cultures and knowledges. Intergovernmental programmes and place-based knowledge–action networks have much potential to mobilize sustainability transformation. Although many research fields have benefited from research networks and comparative sites, the potential of site-based research networks for generating knowledge at the people–nature interface has yet to be fully explored. This article presents the World Network of biosphere reserves (WNBR) of UNESCO's Man and Biosphere Programme, intentionally established for generating actionable knowledge through comparative sites envisioned as learning spaces for sustainable development. Drawing on experiences over five decades, and we offer six categories of insights. Our intent is to share the story of this network widely, distil the learnings from the network to enhance its potential to support both knowledge co-production and collaborative action for sustainability and inform wider efforts to establish place-based sustainability networks aimed at improving human–environment relations through knowledge and action. The WNBR has generated insights on the challenges of creating and supporting an international and inter-governmental sustainability network to generate and mobilize place-based interdisciplinary knowledge in the long term. Despite the challenges, site- and place-based research facilitated by this network has been fundamental in creating space for sustainability science, knowledge co-production and transdisciplinary research at the human–nature interface. We share insights on pathways to the implementation of global sustainability agendas through local networks, and the role of research in supporting learning and experimentation in local sites as they work to adapt global sustainability goals. Research in the WNBR has generated deeper understanding on social–ecological complexity and resilience in place-based sustainability initiatives, and how collaborative platforms might facilitate collective action across landscapes. The network continues to offer a fundamental learning space on operationalizing pluralistic approaches to biodiversity conservation, for example, through its focus on biocultural diversity, offering a key opportunity for the implementation of the post-2020 Global Biodiversity Framework. We conclude by arguing that WNBR, and similar place-based knowledge–action networks, can support interdisciplinary and transdisciplinary research related to human–nature relationships and provide opportunities for comparative research that may yield more explanatory power than individual case studies.

Knowledge of the distribution of tree species within a forest is key for multiple economic and ecological applications. This information is traditionally acquired through time-consuming and thereby expensive field work. Our study evaluates the suitability of a visible to near-infrared (VNIR) hyperspectral dataset with a spatial resolution of 0.4 m for the classification of 13 tree species (8 broadleaf, 5 coniferous) on an individual tree crown level in the UNESCO Biosphere Reserve ‘Wienerwald’, a temperate Austrian forest. The study also assesses the automation potential for the delineation of tree crowns using a mean shift segmentation algorithm in order to permit model application over large areas. Object-based Random Forest classification was carried out on variables that were derived from 699 manually delineated as well as automatically segmented reference trees. The models were trained separately for two strata: small and/or conifer stands and high broadleaf forests. The two strata were delineated beforehand using CHM-based tree height and NDVI. The predictor variables encompassed spectral reflectance, vegetation indices, textural metrics and principal components. After feature selection, the overall classification accuracy (OA) of the classification based on manual delineations of the 13 tree species was 91.7% (Cohen’s kappa (κ) = 0.909). The highest user’s and producer’s accuracies were most frequently obtained for Weymouth pine and Scots Pine, while European ash was most often associated with the lowest accuracies. The classification that was based on mean shift segmentation yielded similarly good results (OA = 89.4% κ = 0.883). Based on the automatically segmented trees, the Random Forest models were also applied to the whole study site (1050 ha). The resulting tree map of the study area confirmed a high abundance of European beech (58%) with smaller amounts of oak (6%) and Scots pine (5%). We conclude that highly accurate tree species classifications can be obtained from hyperspectral data covering the visible and near-infrared parts of the electromagnetic spectrum. Our results also indicate a high automation potential of the method, as the results from the automatically segmented tree crowns were similar to those that were obtained for the manually delineated tree crowns.

The Man and the Biosphere Program (MAB) responds to challenges of the Anthropocene through an explicit social-ecological approach. Implemented as a world network of biosphere reserves, MAB aims to increase [eco]system sustainability and resilience globally, via individual model sites for learning and sustainable development. This research provides an in-depth case study of MAB implementation in South Africa using the Cape Winelands Biosphere Reserve (CWBR), established in 2007 when a key MAB guiding policy, the Madrid Action Plan came into effect. The study utilized semi-structured in-depth interviews with strategic and operational management, and document analysis. The CWBR prioritizes their role as a landscape coordinator, a driver of socio-economic development and site in which humans derive benefits from healthy natural environments. The CWBR have adopted a non-profit organization cooperative governance model in support of this vision, fulfilling the socio-economic development function primarily through successful international partnerships. Challenges faced include a perceived lack of sufficient government support, limited stakeholder awareness and insufficient resources for project implementation. Over reliance on the pillar of their model, the chief executive officer in the current governance form, is an instrument in their effectiveness, yet carries significant risk. These are learnings useful for other biosphere reserves translating an international designation for a local context.

Ecosystem services (ESs) play an important role in sustainable landscape management. People value ESs in diverse ways encompassing social and ecological domains and we need to bring these different values together. We used social-cultural and biophysical methods to map a diverse set of ESs at two spatial scales in a UNESCO Biosphere Reserve in Norway. The ESs bundled into three distinct social–ecological system archetypes which were similar in their distribution and relative ES values at both spatial scales. The bundles were also well matched to relative ESs values of the Biosphere Reserve zones (core, buffer, and transition) indicating that the bundles capture the social–ecological systems of the zones. We argue that it is important to consider the social–ecological context of the zones to provide sufficient knowledge to inform management. Our work has the capacity to contribute to sustainable land management that takes biocultural values into consideration.

The unique geographical diversity and rapid urbanization across the Indian subcontinent give rise to large-scale spatiotemporal variations in urban heating and air emissions. The complex relationship between geophysical parameters and anthropogenic activity is vital in understanding the urban environment. This study analyses the characteristics of heating events using aerosol optical depth (AOD) level variability, across 43 urban agglomerations (UAs) with populations of a million or more, along with 13 industrial districts (IDs), and 14 biosphere reserves (BRs) in the Indian sub-continent. Pre-monsoon average surface heating was highest in the urban areas of the western (42 °C), central (41.9 °C), and southern parts (40 °C) of the Indian subcontinent. High concentration of AOD in the eastern part of the Indo-Gangetic Plain including the megacity: Kolkata (decadal average 0.708) was noted relative to other UAs over time. The statistically significant negative correlation (−0.51) between land surface temperature (LST) and AOD in urban areas during pre-monsoon time illustrates how aerosol loading impacts the surface radiation and has a net effect of reducing surface temperatures. Notable interannual variability was noted with, the pre-monsoon LST dropping in 2020 across most of the selected urban regions (approx. 89% urban clusters) while it was high in 2019 (for approx. 92% urban clusters) in the pre-monsoon season. The results indicate complex variability and correlations between LST and urban aerosol at large scales across the Indian subcontinent. These large-scale observations suggest a need for more in-depth analysis at city scales to understand the interplay and combined variability between physical and anthropogenic atmospheric parameters in mesoscale and microscale climates.

Collaborative approaches to environmental governance are drawing increased interest in research and practice. In this article we investigate the structure and functioning of actor networks engaged in collaboration. We specifically seek to advance understanding of how and why collaborative networks are formed as actors engage in addressing two broad classes of collective action problems: coordination and cooperation. It has been proposed that more risk‐prone cooperative problems favour denser and more cohesive bonding network structures, whereas less risky coordination problems favour sparser and more centralized bridging structures. Recent empirical findings, however, cast some doubts on these assumptions. In building on previous work we propose and evaluate a set of propositions in order to remedy these ambiguities. Our propositions build on the assumption that bridging structures could, if actors experience sufficient levels of trust in the collaborative process, adequately support both cooperation and coordination problems. Our empirical investigation of four UNESCO Man and Biosphere Reserves gives initial support for our assumptions, and suggests that bridging structures emerge when actors have trust in the collaborative endeavour, and/or when the cost of collaborative failure is deemed low. While caution is warranted due to data limitations, our findings contribute to improved policies and guidelines on how to stimulate and facilitate more effective collaborative approaches to environmental governance. A free Plain Language Summary can be found within the Supporting Information of this article. A free Plain Language Summary can be found within the Supporting Information of this article

Purpose Globally, several studies have shown that biosphere reserves faced severe threats related to climate and human changes. Community participation in environmental sustainability may mitigate these threats in biosphere reserve destinations. Therefore, this paper aims to examine the community perceptions regarding the proposed Penang Hill Biosphere Reserve with the support of Community Readiness Theory to the framework via qualitative research. Design/methodology/approach To achieve this, 13 face-to-face interviews were conducted that covered major communities within the hill and validated via secondary sources. Phenomenological type of qualitative research and a combination of purposeful and snowball type of non-probability sampling techniques were used. Findings This paper found that Penang Hill Corporation does collaborate with communities around the hill in matters connected with hill conservation. Research limitations/implications This paper is limited to investigating community perceptions regarding the proposed Penang Hill Biosphere Reserve. Future research is needed to further investigate the framework and the supporting theory (Community Readiness Theory). Practical implications This paper recommended that Penang Hill Corporation should build more effective communication capacity for the communities around the hill via coordinated synergy within the various agencies and communities. Also, the act that established the corporation should be reviewed to capture the provision of liaison offices for agencies controlling various sections of the hill. Originality/value This paper demonstrates that positive community engagement will enhance environmental sustainability and possibly facilitate recognition by UNESCO’s Man and Biosphere Reserve Programme.