The webinar Multifaceted Challenges of Land and Climate Change explored the interconnection of land rights and climate responses at micro, meso and macro level. The webinar aimed to explore the following question: What kind of land governance will foster adequate climate response actions? Oxfam and partners in many countries are confronted with this two-sided problem while dealing with both land and climate justice interventions. Oxfam is currently investing in deepening the analysis of land & climate nexus at both country and global level.

Landscape stewardship is increasingly understood within the framing of complex social-ecological systems. To consider the implications of this, we focus on one of the key characteristics of complex social-ecological systems: they are relationally constituted, meaning that system characteristics emerge out of dynamic relations between system components. We focus on multi-actor collaboration as a key form of relationality in landscapes, seeking a more textured understanding of the social relations between landscape actors.

The relationships between territorial governance and the pursuit of sustainable development are evidenced to be critical. Exploratory tools, like Geographic Information Systems (GIS), enable us to comprehend the patterns, dynamics, and parameters of land-use changes over the years. The results from such studies could be used in the design of a sustainable territorial governance strategy.

Cover crops (CCs) minimize the loss of soil in permanent cropping systems where the soil is usually bare due to intense tillage or overuse of herbicides. The topsoil, the richer layer in soil organic carbon and organic matter (OM), is affected by water erosion. Nature-based solutions appear as a suitable option for sustainable farming. In this study, the effectiveness of two years of CC management to reduce the OM loss is evaluated in a rainfed vineyard in a rolling landscape (Huesca, NE Spain). Two sediment traps collected runoff over 15 months.

Pan evapotranspiration (E) is an important physical parameter in agricultural water resources research. Many climatic factors affect E, and one of the essential challenges is to model or predict E utilizing limited climatic parameters. In this study, the performance of four different artificial neural network (ANN) algorithms i.e., multiple hidden layer back propagation (MBP), generalized regression neural network (GRNN), probabilistic neural networks (PNN), and wavelet neural network (WNN) and one empirical model namely Stephens–Stewart (SS) were employed to predict monthly E.

Connectivity and wildlife corridors are often key components to successful conservation and management plans. Connectivity for wildlife is typically modeled in a static environment that reflects a single snapshot in time. However, it has been shown that, when compared with dynamic connectivity models, static models can underestimate connectivity and mask important population processes. Therefore, including dynamism in connectivity models is important if the goal is to predict functional connectivity.

Community-based natural resource management (CBNRM) has grown in stature as a key component of many national natural resource and rural development governance systems. Despite their growth, the integrity of CBNRM governance systems has rarely been analysed in a national context. To enhance dialogue about how best to design and deploy such systems nationally, this paper analyses the Australian system in detail. The Australian system was selected because the nation has a globally recognised and strong history of CBNRM approaches.

This paper is based on the results of an extensive (840-page) report of the Committee on National Spatial Development of the Polish Academy of Sciences, entitled Studies on Spatial Chaos (edited by A. Kowalewski, T, Markowski and P. Śleszyński—Studia KPZK PAN, vol. 182, Warsaw 2018—in Polish). Its aim was to conduct a comprehensive and detailed study on the problem of spatial chaos (spatial disorder), including an estimate of economic costs in Poland. For this purpose, literature was queried (articles and reports, etc.) and special analyses were prepared for this purpose.

Rural settlement consolidation (RSC) has a critical role in facilitating the transformation of human settlement and land use transition in the rural revitalization process. RSC involves a diversity of stakeholder groups with complex and intertwined concerns. It is therefore crucial to identify the key stakeholders and their main concerns to effectively align rural planning and policymaking. However, this line of research remains underdeveloped. This study provides a novel and holistic network perspective for unpacking the complex relationships among different stakeholders.

Increased environmental and social risk, ubiquitous information technology, and growing demands for and growing threats to democracy and public participation will alter the education and practice of all the design professions and the geographically oriented sciences, and the ways in which their activities towards influencing environmental and social change are organized and carried out. We all know about these trends, but we do not take them seriously enough. We are not adapting fast enough towards education or professional practice that is collaborative and globally oriented.

The authors wish to make the following corrections to this paper [...]

The fast-growing palm oil economy has stimulated a significant expansion of oil palm plantations in Indonesia. The uncontrolled development of large oil palm plantations has raised complex socio-ecological issues, including changes of ecological landscapes, organization of production, and farming household livelihood systems. For two oil palm villages with different ecological settings, this article describes changes in land cover, how production is organized, and the income structure changes due to rural economic development.