To be starting soon.
PhD project on the Footprint of Colonialism: Attributing Biodiversity Loss and GHG Emissions from Colonial Land Change Processes. This project will use HYDE (amongst other) data to quantify past land use changes.
The current HYDE version 3.2 is an updated and internally consistent combination of historical population estimates and also an implementation of improved allocation algorithms with time-dependent weighting maps for cropland and grassland, while the period covered is 10,000 BCE to 2015 CE. Continuous updating and elaboration of historical and archaeological sources are in full progress. Version 3.2 has now included a distinction of grazing land into pasture, natural rangeland, and converted rangeland, as well irrigated areas and rice.
For more information see HYDE projects.
LANDCOVER6K working group
PAGES (Past Global Changes) supports research aimed at understanding the Earth’s past environment in order to make predictions for the future. Adequate incorporation of land cover in global and regional climate models is still one of the major priorities in the climate modeling community. In particular, anthropogenic land cover change (ALCC) is still not successfully implemented in these models. As a result, climate modeling in paleo-mode or projection mode that tries to take ALCC into account is seriously hampered (Strandberg et al., 2014).
This is due to the fact that:
i) the dynamic vegetation models coupled to global climate models (GCMs) or regional climate models (RCMs) simulate climate-induced vegetation (i.e. potential, natural vegetation) but cannot yet simulate anthropogenic vegetation, and
ii) the scenarios of past ALCC, e.g. HYDE (Klein Goldewijk et al., 2011; 2013), KK10 (Kaplan et al., 2010), and others, show very large differences (Gaillard et al., 2010).
The question of whether humans had more impact on climate in prehistory (from 3k BP or earlier) than previously assumed, is still a matter of debate. Thus, the effect of anthropogenic burning and deforestation on global climate via biogeochemical and bio-geophysical processes in the past is not fully understood yet, and mitigation strategies using e.g. tree plantations to create CO2 sinks and climate cooling might be erroneous. Improved descriptions of past anthropogenic land cover change at the global spatial scale are therefore needed.
LandCover6k will build on, and expand, the pollen-based reconstruction work of PAGES’ Focus 4 theme, Land Use and Cover. It will bring together paleo-ecologists, historians, archeologists, and modelers to explore and provide new information about ALCC. It aims to create products suitable for climate modelers and climate change policymakers. See https://pastglobalchanges.org/science/wg/former/landcover6k/intro
Global Carbon Project
The Global Carbon Project (GCP) was established in 2001 in recognition of the large scientific challenges and critical nature of the carbon cycle for Earth’s sustainability. The scientific goal of the project is to develop a complete picture of the global carbon cycle, including both its biophysical and human dimensions together with the interactions and feedbacks between them. HYDE provides yearly updates on the land-use part to this project. See https://www.globalcarbonproject.org/
The Anthromes Project aims to investigate, understand and model human transformation and management of the terrestrial biosphere based on the concept of Anthromes (Anthropogenic Biomes) as a new paradigm for incorporating human systems into global ecology and earth science research and education for the Anthropocene. Currently, we are working on the Anthropogenic Transformation of the Holocene and of the Future with prof. dr. Erle Ellis, Univ. of Baltimore, USA. (see http://ecotope.org/anthromes/).
A new and exciting research effort is now underway to investigate the role of Future Anthromes upon biodiversity and heat stress, against the light of the different Shared Socioeconomic Pathways (SSPs), as computed with the integrated assessment model framework IMAGE, a collaboration with the Netherlands Environmental Assessment Agency (PBL).
LUMIP | Land Use Model Intercomparison Project
Human land-use activities have resulted in large changes to the biogeochemical and biophysical properties of the Earth’s surface, with resulting implications for climate. In the future, land-use activities are likely to expand and/or intensify further to meet growing demands for food, fiber, and energy. CMIP5 achieved a qualitative scientific advance in studying the effects of land-use on climate, for the first time explicitly accounting for the effects of global gridded land-use changes (past-future) in coupled carbon-climate model projections. Enabling this advance, the first consistent gridded land-use dataset (past-future) was developed, linking historical land-use data, to future projections from Integrated Assessment Models, in a standard format required by climate models. Results indicate that the effects of land-use on climate, while uncertain, are sufficiently large and complex to warrant an expanded activity focused on land-use for CMIP6. See https://www.cesm.ucar.edu/projects/CMIP6/LUMIP/.
In 2010, NWO awarded a subsidy to the Clio Infra project, lead by Prof. dr. Jan Luiten van Zanden of the International Institute of Social History (IISH). Under the title of Clio Infra, a set of interconnected databases has been set up containing worldwide data on social, economic, and institutional indicators for the past five centuries, with special attention to the past 200 years. These indicators allow research into the long-term development of worldwide economic growth and inequality.
Global inequality is one of the key problems of the contemporary world. Some countries have (recently) become wealthy, other countries have remained poor. New theoretical developments in economic science – such as new institutional economics, new economic geography, and new growth theory – and the rise of global economic and social history require such processes to be studied on a worldwide scale. The question of worldwide economic growth and inequality can only be researched on the basis of worldwide data concerning the patterns of economic performance and their causes. Clio Infra provides datasets for the most important indicators. Economic and social historians from around the world have been working together in thematic collaboratories, in order to collect and share their knowledge concerning the relevant indicators of economic performance and its causes. The collected data have been standardized, harmonized, and stored for future use. New indicators to study inequality have been developed. The datasets are accessible through the Clio Infra portal which also offers possibilities for visualization of the data (http://www.clio-infra.eu/)
The unique global datasets enable new opportunities for data analysis and the testing of hypotheses from new economic theories. Clio Infra offers the opportunity to greatly enhance our understanding of the origins, causes, and character of the process of global inequality.