Wetlands and peatlands are key

ecosystems containing approximately

20% of global soil organic carbon stocks.

Peat swamp forests have sequestered

carbon for millennia, storing a globally

significant reservoir below ground.

This study focuses on land use in the tsunami inundation area caused by the Great East Japan Earthquake, particularly land use history in the tsunami-affected area. Hanagama District, Yamamoto City, Miyagi prefecture, was selected as the study area. Land use were examined using aerial photographs taken in 1975, 2010 and 2013. Relationships between land use change and the disaster hazard areas, natural land conditions were analyzed with GIS.

The adoption of Agenda 2063 at the continental level, and the 2030 Agenda for Sustainable Development at the global level, requires a high level of collection and collation of quality, timely, reliable and dis-aggregated data at all levels of the development process, including land, to inform decisions, enable all stakeholders to track progress and make the necessary adjustments to ensure transparency and mutual accountability in the continent and globally.

The scholarly debate around ‘global land grabbing’ is advancing theoretically, methodologically and empirically. This study contributes to these ongoing efforts by investigating a set of ‘small-scale land acquisitions’ in the context of a recent boom in banana plantation investments in Luang Namtha Province, Laos. In relation to the actors, scales and processes involved, the banana acquisitions differ from the state-granted large-scale land acquisitions dominating the literature on ‘land grabbing’ in Laos.

Across the tropics, development banks and conservation donors are investing millions in property mapping and registration projects to improve accountability for deforestation. An evaluation of the effectiveness and accuracy of existing environmental registries is crucial to assure the success of future efforts. This study presents an evaluation of deforestation and registration behavior in response to one of the largest of these property registration programs to date — the Rural Environmental Registry (CAR) in the Amazonian state of Pará.

Case studies of social-ecological landscapes that consider local, spatially explicit land cover changes are necessary for the development of generalised knowledge on deforestation. This study focussed on two indigenous territories of eastern Panama that share the same settlement history, size and location but are perceived by local dwellers to differ in terms of land cover.

The relationship between forests and people is of substantial interest to peoples and agencies that govern and use them, private sector actors that seek to manage and profit from them, NGOs who support and implement conservation and development projects, and researchers who study these relationships and others. The term ⿿forest-dependent people⿿ is widely used to describe human populations that gain some form of benefits from forests.

Data compatibility and system interoperability are fundamental for crosswalks and collaboration between domains. The most frequently used references for information sharing are time and location. In order to understand the requirements, fundamental processes, and core information concepts of a domain, a comprehensive, but standardised documentation is needed. In spatial data infrastructures models presented in Unified Modelling Language (UML) are widely used to facilitate the uptake of standards and valorise best practices of various communities.

The construction of consistent time series of land use presents a key challenge when accounting for elective land use-based activities under the Kyoto Protocol (wetland drainage and rewetting (WDR), cropland management (CM) and grazing land management (GM)), in which current land use-driven greenhouse gas emissions are compared to a reference situation in 1990. This case study is the first to demonstrate the feasibility of using high-resolution land-use proxies from different datasets for Kyoto accounting in a data-rich case study region in Germany.