Data Repository of the International Institute of Applied Systems Analysis
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NatureMap Priority maps to Areas of global importance for conserving terrestrial biodiversity, carbon, and water
No full textThis data repository contains the results of the NatureMap ( naturemap.earth/) conservation prioritization effort. The maps were created by jointly optimizing biodiversity and NCPs such as carbon and/or water. Maps are supplied at both 10km and 50km resolution and all maps that aim to find priority areas for all species considered in the analysis, utilize a series of representative sets. The ranks for each layer are area-specific and can be used to extract summary statistics by simple subsetting. For example, to obtain the top 30% of land area for biodiversity and carbon, one needs to create a mask of all areas lower than a value of 30 from the respective ranked layers.
For convenience two files are supplied that contain the fraction of land area per grid cell times 1000. Multiplying those with the cell area (100km2, respectively 2500km2) gives the exact amount of land area in a given grid cell. These are labelled "globalgrid_mollweide_**km.tif " can be used to create masks for the priority maps. The geographic projection is World Mollweide Equal Area projection
Years of Good Life (YoGL): A wellbeing indicator designed to serve research on sustainability
No full textThe Years of Good Life (YoGL) indicator reflects the evident fact that in order to be able to enjoy any quality of life, one has to be alive and thus is primarily based on life expectancy. But since mere survival is not considered as good enough, life years are counted conditional on meeting minimum standards in two dimensions: the objective dimension of capable longevity (consisting of being out of absolute poverty and enjoying minimal levels of physical and cognitive health) and the subjective dimension of overall life satisfaction. Here we provide aggregate level datasets with shares of people who are out-of-poverty, free from cognitive limitations, free from physical limitations and have positive life satisfaction; and life tables from United Nations World Populations Prospects and Eurostat which were used to calculate YoGL. The aggregate level data were derived from several surveys: SHARE, WVS, the Study of Global Ageing and Adult Health (SAGE) and the Multi-Country Survey Study on Health and Responsiveness (MCSS). The details of combining several data sources to calculate YoGL are provided in the supplementary material
Gridded Soil Surface Nitrogen Surplus on Grazing and Agricultural Land: Impact of Land Use Maps
No full textExcess N application on agricultural land greatly impacts the environment in multiple ways, driven by population growth and improving quality of human diets. Therefore, it is essential to quantify the sources of the emissions of N compounds and their determinants (e.g. biological N fixation (BNF), mineral fertilizer, manure N and N deposition) to develop adequate mitigation measures. Here aim at comprehensively mapping and quantifying N fluxes on agricultural land to analyze these sources on different scales. As underlying grazing land maps used for such calculations fairly different in terms of methodology and definition and thus spatial extent and pattern, we investigate how this diversity in grazing land maps affects quantification of N indicators. We compared three different global grazing land maps and analyzed the propagation of differences to discrepancies in N indicators calculated from them. We discovered that (i) area differences propagated to high discrepancies in N surplus mostly in Asia, and to a minor extent also in Europe and Northern Africa. (ii) A more inclusive definition of grazing land results in overall less N surplus given the larger areas included but allows to provide a more comprehensive estimate of the influence of human activity on the N cycle. (iii) BNF was identified as constituting an important translator for differences on grazing land to N indicators, while also being a source of further uncertainty, which warrants further scrutiny. This study is the first to provide an in-depth analysis of the effect of grazing land and agricultural land area differences on various N budget terms and N indicator calculation, highlighting opportunities for further research, and the importance of a comprehensive accounting of N surplus when using an inclusive definition of grazing land
Impacts of drought and climate change on power plant cooling water shortages and electricity prices
No full textThis dataset contains the modelling results of the abovementioned study on the risks and economic costs of cooling water shortage of the UK electricity system. The netCDF files each contain multiple variables cast along the same dimensions of time (daily timestep, 30x 360-day years), and Weather@Home (WAH) climate sample run. Each dataset contains the variables for electricity "demand" in MWh (per day); "unadj"usted electricity spot price (Β£/MWh); "adj"usted electricity spot price (Β£/MWh); the electricity price "spike" (Β£/MWh), which is "adj" minus "unadj"; "cumcost" which is the cumulative cost of the drought-induced price spike (Β£) found by spike * demand; "unadjcost" which is the cumulative cost of the unadjusted wholesale supply in Β£; and "adjcost" which is the cumulative cost of the adjusted wholesale supply in Β£. Five files are included in the dataset: three for each of the climate change scenarios, Baseline (BS), Near Future (NF) and Far Future (FF); two sensitivity runs in the Baseline scenario under high (0.9 quantile) and low (0.1 quantile) renewables production; and two sensitivity runs in the Baseline scenario under high (βHIGH: +25%) and low (βLOWβ -25%) fuel price scenarios
Supplementary Data 1 for: The global cropland sparing potential of high-yield farming
No full textThis archive contains input data and computer code to reproduce land use change outputs for the Maximum Land Sparing scenario of the publication "Folberth et al., The global cropland sparing potential of high-yield farming". Code is written in GAMS and R and requires parallel Windows and Linux environments. Further information and instructions are provided in the enclosed 0-readme.txt
Soil respiration database
No full textSoil respiration (Rs) in situ measurements that were reported in peer-reviewed publications were collected into a database. The database contains annual Rs flux, share of autotrophic Rs, climate parameters, type of soil and vegetation. 3822 records on Rs fluxes around the globe were collected from 932 studies, spanning the measurement years 1961-2011.
The largest portion of data was taken from the global database by Bond-Lamberty and Thomson (2014, 2018). We have taken from this database only the records where annual Rs flux or mean seasonal rate of Rs or root contribution to the Rs were reported. Data from additional 290 sources were collected on the same basis, from the northern hemisphere, with a special focus on Russia.
The regions most frequently represented are Northern America (n=1835), Europe (n=1116) and Asia (n=872). Data from temperate ecosystems dominate in the database (n=1816), boreal zone is represented by 911 records, subtropical and tropical biomes are represented by 628 and 400 records accordingly. The most data collected in forests (n=2475), grasslands (n=518) or arable land (n=517)
Global population and human capital projections for Shared Socioeconomic Pathways β 2015 to 2100, Revision-2018
No full textThe data contains five-sets of Shared Socioeconomic Pathway scenarios results. It consists of population projection by educational attainment and mean years of schooling by age and sex in 201 countries of the world for the period of 2015-2100. This is an update of earlier SSP population projection published in 2013 (SSP Database) and 2014 (IIASA-WIC Data explorer)
R data script: From acacia to eucalypt: productivity and fertility implications of plantations species shift in Indonesia
No full textThe plantation forestry sector in Indonesia has seen a change in species from Acacia mangium to Eucalyptus pellita. This change, forced by diseases spreads, has affected more than 90% of the plantation area in Indonesia and it is unprecedented in its scale in the history of plantation forestry (Nambiar et al., 2018). It is also a change of tree species with very different eco-physiological patterns: Acacias β in contrast to eucalypts - are leguminous trees and therefore self-sufficient in nitrogen supply and capable of building significant stocks of nitrogen and carbon in the soil, two main determinants of plantation productivity. The large-scale species shift therefore raises questions about the sustainability of the pulp and paper sector in Indonesia in the coming decades as well as the role of past land use and site quality in Indonesiaβs forest restoration pledge.
The proposed contribution therefore aims at analyzing the sustainability in terms of productivity of the Indonesian plantation forestry sector under the new eucalypts regime. To that end, we will deploy the BioGeoChemistry Management Model (BGCMAN; Pietsch, 2014) which is capable of representing the carbon, water and nitrogen cycles in great detail.
Expected results will include a reconstruction of the rise and fall of A. mangium and shift to E. pellita as well as forecasts of plantation productivity and soil fertility over the next decades; it will notably answer the question for how long soil N-stock accumulated by acacias will be able to feed eucalypts
Edible Plant Database
No full textSoil respiration (Rs) in situ measurements that were reported in peer-reviewed publications were collected into a database. The database contains annual Rs flux, share of autotrophic Rs, climate parameters, type of soil and vegetation. 3881 records on Rs fluxes around the globe were collected from 944 studies, spanning the measurement years 1961-2019. The largest portion of data was taken from the global database by Bond-Lamberty and Thomson (2014, 2018). We have taken from this database only the records where annual Rs flux or mean seasonal rate of Rs or root contribution to the Rs were reported. Data from additional 302 sources were collected on the same basis, from the northern hemisphere, with a special focus on Russia. The regions most frequently represented are Northern America (n=1835), Europe (n=1171) and Asia (n=872). Data from temperate ecosystems dominate in the database (n=1833), boreal zone is represented by 958 records, subtropical and tropical biomes are represented by 462 and 628 records accordingly. The most data collected in forests (n=2510), grasslands (n=520) or arable land (n=519)
Supplementary material to "Spatio-temporal assessment on the impact of palm oil-based bioenergy deployment on cross-sectoral energy decarbonization"
Full text linkThis archive contains the input datasets and the mathematical formulation of the BeWhere Malaysia model. The spatial datasets presented were compiled at 0.25-degree resolution (25 km x 25 km), subjected to the planning period of 2020-2050. The model has been used to generate spatio-temporal techno-economic outputs for the scenario analysis involving the comparisons of national policies on CO2 emission reduction and renewable energy production in promoting bioenergy uses in Malaysia in the long term