Harmonized World Soil Database - HWSD (version 1.2)

HWSD-coverDuring discussions at the International Institute for Applied Systems Analysis (IIASA) in 1996, the need was identified for refinement of the agro-edaphic element of IIASA and FAO's Agro-Ecological Zones (AEZ) methodology then being used for IIASA’s "Modeling Land Use and Land Cover Change in Europe and Northern Eurasia (LUC)" project. An IIASA Interim Report was produced in 1997 detailing twenty soil attributes identified as being important for land evaluation, the analyses performed on existing databases, and methodologies for the development of taxotransfer rules to derive necessary data. Conclusions of this report were used for the analyses of that time, but the process that was born continued to develop into what would eventually become a separate product, the Harmonized World Soil Database. Between 2003 and 2006, IIASA and FAO sought out additional partners, including: - ISRIC-World Soil Information, together with FAO, were responsible for the development of regional soil and terrain databases and the WISE soil profile database; - the European Soil Bureau Network, which had recently completed a major update of soil information for Europe and northern Eurasia, and - the Institute of Soil Science, Chinese Academy of Sciences, which provided the recent 1:1,000,000 scale Soil Map of China. Vast volumes of recently collected regional and national updates of soil information collected by the partners were assimilated and harmonized by IIASA, where the HWSD raster, database, and viewer software were designed, implemented, and packaged for CD and web distribution into this state-of-the-art database. Version 1.0 was released in 2008. Since then, it has been updated with new information several times, has been used extensively around the world, and has recently been adopted by the Global Soil Partnership (GSP) as the definitive soil database at present, with plans for further updates made as part of the GSP process. The HWSD is of immediate use in the context of the Climate Change Convention and the Kyoto Protocol for soil carbon measurements and for the FAO/IIASA Global Agro-ecological Assessment studies (GAEZ 2012), for which HWSD was developed in the first place. The HWSD contributes sound scientific knowledge for planning sustainable expansion of agricultural production to achieve food security and provides information for national and international policymakers in addressing emerging problems of land competition for food production, bio-energy demand and threats to biodiversity. The HWSD is a 30 arc-second raster database with over 16000 different soil mapping units that combines existing regional and national updates of soil information worldwide (SOTER, ESD, Soil Map of China, WISE) with the information contained within the 1:5 000 000 scale FAO-UNESCO Soil Map of the World (FAO, 19711981). The resulting raster database consists of 21600 rows and 43200 columns, which are linked to harmonized soil property data. The use of a standardized structure allows for the linkage of the attribute data with the raster map to display or query the composition in terms of soil units and the characterization of selected soil parameters (organic Carbon, pH, water storage capacity, soil depth, cation exchange capacity of the soil and the clay fraction, total exchangeable nutrients, lime and gypsum contents, sodium exchange percentage, salinity, textural class and granulometry). Reliability of the information contained in the database is variable: the parts of the database that still make use of the Soil Map of the World such as North America, Australia, West Africa and South Asia are considered less reliable, while most of the areas covered by SOTER databases are considered to have the highest reliability (Central and Southern Africa, Latin America and the Caribbean, Central and Eastern Europe)

Modeled spatial assessment of biomass productivity and technical potential of Miscanthus× giganteus, Panicum virgatum L. and Jatropha on marginal land in China

ACKNOWLEDGEMENTS This study was supported by Chinese Scholarship Council (CSC). We thank our colleagues from Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences for data collection, and thank Tao Sang from the Institute of Botany of Chinese Academy of Sciences for providing data. The MiscanFor modeling was supported by UK NERC ADVENT (NE/1806209) and FAB-GGR (NE/P019951/1) project funding. John Clifton-Brown received support from the United Kingdom's DEFRA (Department for Environment, Food & Rural Affairs) as part of the MISCOMAR project (FACCE SURPLUS, Sustainable and Resilient Agriculture for food and non-food systems)Peer reviewedPublisher PD

New generation of hydraulic pedotransfer functions for Europe

A range of continental-scale soil datasets exists in Europe with different spatial representation and based on different principles. We developed comprehensive pedotransfer functions (PTFs) for applications principally on spatial datasets with continental coverage. The PTF development included the prediction of soil water retention at various matric potentials and prediction of parameters to characterize soil moisture retention and the hydraulic conductivity curve (MRC and HCC) of European soils. We developed PTFs with a hierarchical approach, determined by the input requirements. The PTFs were derived by using three statistical methods: (i) linear regression where there were quantitative input variables, (ii) a regression tree for qualitative, quantitative and mixed types of information and (iii) mean statistics of developer-defined soil groups (class PTF) when only qualitative input parameters were available. Data of the recently established European Hydropedological Data Inventory (EU-HYDI), which holds the most comprehensive geographical and thematic coverage of hydro-pedological data in Europe, were used to train and test the PTFs. The applied modelling techniques and the EU-HYDI allowed the development of hydraulic PTFs that are more reliable and applicable for a greater variety of input parameters than those previously available for Europe. Therefore the new set of PTFs offers tailored advanced tools for a wide range of applications in the continent

Potential impacts on ecosystem services of land use transitions to second-generation bioenergy crops in GB

We present the first assessment of the impact of land use change (LUC) to second-generation (2G) bioenergy crops on ecosystem services (ES) resolved spatially for Great Britain (GB). A systematic approach was used to assess available evidence on the impacts of LUC from arable, semi-improved grassland or woodland/forest, to 2G bioenergy crops, for which a quantitative ‘threat matrix’ was developed. The threat matrix was used to estimate potential impacts of transitions to either Miscanthus, short-rotation coppice (SRC, willow and poplar) or short-rotation forestry (SRF). The ES effects were found to be largely dependent on previous land uses rather than the choice of 2G crop when assessing the technical potential of available biomass with a transition from arable crops resulting in the most positive effect on ES. Combining these data with constraint masks and available land for SRC and Miscanthus (SRF omitted from this stage due to lack of data), south-west and north-west England were identified as areas where Miscanthus and SRC could be grown, respectively, with favourable combinations of economic viability, carbon sequestration, high yield and positive ES benefits. This study also suggests that not all prospective planting of Miscanthus and SRC can be allocated to agricultural land class (ALC) ALC 3 and ALC 4 and suitable areas of ALC 5 are only minimally available. Beneficial impacts were found on 146 583 and 71 890 ha when planting Miscanthus or SRC, respectively, under baseline planting conditions rising to 293 247 and 91 318 ha, respectively, under 2020 planting scenarios. The results provide an insight into the interplay between land availability, original land uses, bioenergy crop type and yield in determining overall positive or negative impacts of bioenergy cropping on ecosystems services and go some way towards developing a framework for quantifying wider ES impacts of this important LUC

High-resolution spatial modelling of greenhouse gas emissions from land-use change to energy crops in the United Kingdom

Funded by Energy Technologies Institute EPSRC-Supergen. Grant Number: EP/M013200/1Peer reviewedPublisher PD

ELUM: User-friendly spatial modelling tool predicts net soil greenhouse gas balance of bioenergy land-use change in UK up to 2050

The ELUM Software Package spatially predicts the net soil greenhouse gas balance of land-use change to grow energy crops in the UK up to 2050. It is able to support a range of analyses of bioenergy, and was developed in consultation with anticipated users. Results can be obtained according to specific interests, viewed in the graphical interface and exported for a variety of purposes. The functionality of the software is demonstrated through different case studies, which show an array of applications

Model comparison and quantification of nitrous oxide emission and mitigation potential from maize and wheat fields at a global scale

This work was carried out by the International Maize and Wheat Improvement Center (CIMMYT) in collaboration with farmers and funded by the CGIAR research programs (CRPs) on Climate Change, Agriculture and Food Security (CCAFS). CCAFS' work is supported by CGIAR Fund Donors and through bilateral funding agreements. For details, please visit https://ccafs.cgiar.org/donors. The views expressed in this paper cannot be taken to reflect the official opinions of these organizations. The dataset associated with this manuscript will be available together with the supplementary materials of this manuscript.Peer reviewedPublisher PD

The Relative Influence of Environmental and Human Factors on Seed Plant Richness at the Province Scale in China

Seed plant diversity is under threat due to human over-exploitation and changes in land use. There is a need to identify regions where seed plant diversity is most at risk and establish nature reserves to protect the most important species. This study collected province scale seed plant richness data and corresponding environmental, social and, economic data in China in order to assess the impact of environmental and socio-economic factors on seed plant diversity and to quantify the relative importance of climate, human disturbance, and habitat heterogeneity on the distribution of seed plant diversity. A downscaling model was established to map the spatial distribution of seed plant diversity at a 1-km resolution. The results showed that temperature and precipitation seasonality, potential evapotranspiration, humidity index, altitude range, and gross domestic product were important determinants of seed plant diversity. The relative contribution of temperature seasonality was the most important factor (explaining 29.9-36.2% of the variation). Climate, human disturbance, and habitat heterogeneity explained much of the seed plant richness and density variation (about 69.4-71.9%). A scale-down model explained 72% of seed plant richness variation and showed that the center of seed plant species diversity was mainly located in the southeast area of China in the Qing-Tibet Plateau, Yun-Gui Plateau, Hengduan Mountain region, middle of the Sichuan Basins, Taiwan island, and Hainan island. This study improves our understanding of biodiversity hotspot regions and is a useful tool for biodiversity conservation policy and nature reserve management in China

New perspectives on the ecology of early domestic fowl: an interdisciplinary approach.

Introduced into Europe during the Bronze- and Iron Ages as an exotic, non-native species, very little is currently understood about the origins and spread of early domestic fowl, Gallus gallus domesticus. Ecological niche modelling of extant Red Junglefowl, Gallus gallus, presents a unique opportunity to examine historical ecological implications associated with its descendant, the chicken, in early stages of domestication. We model the environmental conditions associated with Red Junglefowl populations both in south-east Asia, where the bird originates, and populations transported further afield as a consequence of human interaction. This allows us to establish the full extent of the ecological tolerance of the ancestor bird. We show that potential for suitable sets of environmental conditions for Red Junglefowl in Europe ranges from poor to limited, based on both current climate and when projecting to mid-Holocene (ca. 4000BC) climate simulations. This suggests that human intervention played a vital contribution during early domestication to ensure the future widespread success of the chicken. These conclusions offer new insights into the archaeological evidence. We identify areas in the native range as the probable location of first domestication, and not China as has been suggested. We suggest that a dispersal route into Europe via the Mediterranean offers the best ecological potential to aid survival for a recently domesticated version of this species. Identifying the environmental tolerances of Red Junglefowl may also aid future conservation of this species, now highly endangered in its true wild form