From 9th to 29th September 2019, Land Portal, Cadasta and GIZ co-hosted an online discussion focussing on the role of open land data in the fight against corruption. Drawing on over 100 contributions from 48 contributors covering six continents, the dialogue explored the opportunities and challenges for the use of open data as a tool to address land-related corruption. 

We studied livelihood changes and poverty dynamics over a 25-year period in two villages in central Tanzania. The villages were, from the early 1990s and 2000s, strikingly poor with between 50% and 55% of families in the poorest wealth groups. 25 years later much has changed: people have become substantially wealthier, with 64% and 71% in the middle wealth groups. The new wealth had been generated locally, from farming, particularly of sunflowers as a cash crop. This goes against a conventional view of small-scale farming in Tanzania as being stagnant or unproductive.

This paper investigates the drivers and dynamics of livelihood and landscape change over a 30-year period in two sites in the communal drylands of Zimbabwe (Marwendo) and South Africa (Tshivuhulani). Of particular interest to us was how access to social protection and a wider range of options may mitigate increased vulnerability under a changing climate. A mixed methods approach (using household surveys, focus group discussions, life history interviews, transect walks and secondary sources of data) was applied to develop human–environment timelines for each study site.

The paper investigates whether farm dwellers in the KwaZulu-Natal (KZN) province of South Africa are subject to a “double exposure”: vulnerable both to the impacts of post-apartheid agrarian dynamics and to the risks of climate change. The evidence is drawn from a 2017 survey that was undertaken by the Association for Rural Advancement (AFRA), which is a land rights Non-Governmental Organization (NGO), of 843 farm dweller households. Data on the current living conditions and livelihoods was collected on 15.3% of the farm dweller population in the area.

Deforestation and forest degradation (D&D) in the tropics have continued unabated and are posing serious threats to forests and the livelihoods of those who depend on forests and forest resources. Smallholder farmers are often implicated in scientific literature and policy documents as important agents of D&D. However, there is scanty information on why smallholders exploit forests and what the key drivers are. We employed behavioral sciences approaches that capture contextual factors, attitudinal factors, and routine practices that shape decisions by smallholder farmers.

Understanding how individuals, communities, and populations vary in their vulnerability requires defining and identifying vulnerability with respect to a condition, and then developing robust methods to reliably measure vulnerability. In this study, we illustrate how a conceptual model translated via simulation can guide the real-world implementation of data collection and measurement of a model system. We present a generalizable statistical framework that specifies linkages among interacting social and biophysical components in complex landscapes to examine vulnerability.

The value of Traditional Ecological Knowledge (TEK) for informing resource management has long been recognized; however, its incorporation into ecosystem services (ES) assessments remains uncommon. Often “top-down” approaches are utilized, depending on “expert knowledge”, that are not relevant to local resource users. Here we propose an approach for combining participatory methods with remote sensing to provide a more holistic understanding of ES change. Participatory mapping in focus group discussions identified TEK regarding what ES were present, where, and their value to communities.

Outmigration has become a key livelihood strategy for an increasing number of rural households, which in turn has a profound effect on land management. Studies to date have mainly focused on migrant households, and there is limited literature on the differences in land management practices of migrant and nonmigrant households. This article drew on a current study to explore how outmigration affects land management practices in the context of rapidly changing rural communities and economics in the middle hills of Nepal.

Following the massive expansion of rubber plantations in China, considerable research has been conducted on the impact of these landscape changes. The general consensus is that there have been negative impacts on the environment and positive impacts on local economies. However, since rubber prices dropped after 2011, the economic benefit to the local people is challenged and the impact on the local people and communities remains unclear.

Climate change affects poor and marginalized communities first and hardest. Particularly in cities, a lack of access to basic services, a long history of unsustainable urban development, and political exclusion render the urban poor one of the most vulnerable groups to climate induced natural hazards and disasters. Yet strategies focused on reducing these people’s vulnerability to climate change often overlook crucial differences in their needs and situations.

Recognizing the extensive literature available on outgrower cooperative farming, this case study seeks to add to this literature by providing in-depth learnings and guidance on good practices for structuring commercial, cooperative outgrower schemes in Malawi and potentially elsewhere.

This paper is one of three thematic case studies resulting from a set of pilot projects undertaken jointly by civil society and private business partners from 2016–2019 in five countries in sub-Saharan Africa. These pilots sought to test how private companies could collaborate with civil society organisations and other stakeholders to implement responsible agribusiness investments that recognise and respect community land rights, and to develop innovative tools and approaches that could be adopted and implemented at greater scale.