A5061144961- Agricultural Innovations and Practices
- Land Use and Ecosystem Services
- Agricultural Economics and Policy
- Sustainable Agricultural Systems Analysis
- Economic and Environmental Valuation
- Climate change impacts on agriculture
- Agricultural risk and resilience
- Soil and Land Suitability Analysis
- Urban Transport and Accessibility
- Spatial and Panel Data Analysis
- Land Rights and Reforms
- Water resources management and optimization
- Energy and Environment Impacts
- Agriculture and Rural Development Research
- Seed and Plant Biochemistry
- Fiscal Policy and Economic Growth
- Agricultural pest management studies
- Agriculture Sustainability and Environmental Impact
- Remote Sensing and Land Use
- Energy, Environment, Economic Growth
- Innovation Policy and R&D
- Genetically Modified Organisms Research
- Global trade and economics
- Remote Sensing in Agriculture
- Bioeconomy and Sustainability Development
International Food Policy Research Institute
2009-2023
IMC University of Applied Sciences Krems
2022
United States Virgin Islands Department of Health
2010
Chapter Arts Centre
2010
Abstract A new 1 km global IIASA ‐ IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual maps at to regional national scales. The products include existing land cover such as GlobCover and MODIS v.5, AFRICOVER from mapping agencies other organizations. different are ranked level using crowdsourced data Geo‐Wiki create that reflects likelihood cropland. Calibration with subnational crop statistics was then undertaken distribute...
Abstract. Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they less informative for subsequent spatially explicit environmental analyses. In the second part of two-paper series, we introduce SPAM2010 – latest datasets circa 2010 elaborate improvement SPAM (Spatial Production Allocation Model) dataset family since 2000. adds further methodological data enhancements to crop...
Abstract Aim Agricultural practices have dramatically altered the land cover of earth, but spatial extent and intensity these is often difficult to catalogue. Information on distribution performance specific crops only available through national or subnational statistics. Recently, however, there been multiple independent efforts incorporate detailed information from statistical surveys with supplemental produce a spatially explicit global dataset individual crops. While datasets provide...
Agricultural production statistics reported at country or sub-national geopolitical scales are used in a wide range of economic analyses, and spatially explicit (geo-referenced) data increasingly needed to support improved approaches the planning implementation agricultural development. However, it is extremely challenging compile maintain collections crop data, particularly for poorer regions world. Large gaps exist our knowledge current geographic distribution spatial patterns performance,...
Worldwide, crop production is intrinsically intertwined with biological, environmental and economic systems, all of which involve complex, inter-related spatially-sensitive phenomena. Thus knowing the location agriculture matters much for a host reasons. There are several widely cited attempts to model spatial pattern worldwide, not least by pixilating statistics originally reported on an areal (administrative boundary) basis. However, these modeled measures have had little scrutiny...
Abstract. Economic statistics are frequently produced at an administrative level such as the subnational division. However, these measures may lack sufficient local variation for effective analysis of economic development patterns and exposure to natural hazards. Agricultural gross domestic product (GDP) is a critical indicator measurement primary sector, on which more than 2.5 billion people depend their livelihoods, it provides key source income entire household (FAO, 2021). Through...
Agricultural practices have dramatically altered the Earth’s land cover, but spatial extent and intensity of these is often difficult to catalogue. Cropland accounts for nearly 15 million square kilometers cover — amounting 12 percent planet’s ice-free surface yet information on distribution performance specific crops available only through national or subnational statistics. Although remote-sensing products offer spatially disaggregated information, those currently a global scale are ill...
Agricultural production statistics are fundamental parameters for agriculture policy research. Information on acreage and yields of important crops is critical understanding trends within what the most economic sector many developing countries. Sub-national data — i.e. organized by administrative units such as regions or districts enable analysis patterns countries that may highlight issues, need to allocate resources underproductive areas. However, collecting sub-national difficult with...
Abstract. Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns thus is less informative for subsequent spatially explicit environmental analyses. In the second part of two-paper series, we introduce SPAM2010 – latest datasets circa year 2010 elaborate improvement SPAM (Spatial Production Allocation Model) dataset family since 2000. adds further methodological data enhancements to crop...
Slower than desired growth in crop yields coupled with rising food demand present ongoing challenges for security Africa. Some countries, such as Tanzania, have signed the Malabo and Abuja Declarations, which aim to boost through increasing productivity. The more intensive use of seed fertilizer presents one approach raising Our simulation study examined productivity economic effects planting different cultivars application rates at multiple spatial scales maize Tanzania. We combined...
Recent progress in large-scale georeferenced data collection is widening opportunities for combining multi-disciplinary datasets from biophysical to socioeconomic domains, advancing our analytical and modeling capacity. Granular spatial provide critical information necessary decision makers identify target areas, assess baseline conditions, prioritize investment options, set goals targets monitor impacts. However, key challenges reconciling across themes, scales borders restrict capacity...
Since oil prices’ decline in 2014, agriculture has received renewed interest Nigeria as a key sector for achieving sustainable growth and generating foreign exchange. One of the identified obstacles to these goals is need improve agricultural productivity. Cowpea one priority crops productivity improvement. Currently cowpea yields are below 900 kg/ha, but it been shown that with right technology, could potentially double. main biotic constraints infestation insect pod borer (Maruca...