Gene flow risk assessment in centres of crop origin and diversity

Poster presented at Plant Biology & Botany Join Congress. Chicago (USA), 7-11 Jul 200

Methods, results and policy implications of poverty and food security mapping assessments

The importance of poverty reduction to the world development agenda has motivated greater interest in the geographic dimensions of poverty and food security. This special issue of Food Policy includes examples of poverty and food security mapping used to support policy development in agricultural and rural areas. The volume includes eight country case studies and one cross-country comparison that illustrate advances in our capacity to assess welfare over large areas and at detailed spatial resolutions. Poverty mapping facilitates assessments of the role of environmental factors on the broad spatial pattern of poverty and food security. Evaluating proximity and accessibility in welfare outcomes can improve our knowledge of poverty patterns and processes. Spatial statistics can enhance our understanding of geographic and neighbourhood effects on poverty and food security outcomes. The development of effective policies requires increased collaboration among stakeholders, researchers and policy makers in constructing and using poverty and food security maps

Assessment of high speed internet for remote sensing data acquisition and exchange in Colombia and Latin America

New remote sensing platforms and data programs have dramatically increased the availability of satellite image data for analysis of climate, agriculture, environment and society. Particularly important new sensor systems include the USA’s MODIS system, Brazil and China’s CBER platform, and India’s IRS satellite. These and other systems have created considerable benefits to the international community of remote sensing analysts. Today, we have more data with greater options regarding spatial, radiometric and temporal resolution. While having these greater options is a positive development, substantial problems remain in acquiring and managing large data volumes. Data providers and consumers must support significant costs in copying remote sensing data to tapes and disks. Internet transfer of satellite imagery is only possible on broadband networks. Even then, download times can be considerable. Downloads may be interrupted if the Internet connections are unstable. How can we improve the acquisition of large volumes of remote sensing data for environmental analysis? What alternatives are available to remote sensing researchers to acquire near-real time satellite imagery for research use? This paper assesses the potential of high-speed Internet as a medium for transferring large satellite imagery data sets between the United States and Colombia, between Colombia and other Latin American countries and within Colombia. Academic and research networks have led developments in high-speed Internet. Many countries throughout the world are installing the infrastructure needed to develop these networks. In the United States this system is referred to as Internet 2. Latin American countries are developing a system called RedCLARA (Cooperación Latinoamerican

Identifying candidate sites for crop biofortification in Latin America: case studies in Colombia, Nicaragua and Bolivia

BACKGROUND: Agricultural science can address a population's vitamin, amino acid and mineral malnutrition through biofortification - agronomy, plant breeding and biotechnology to develop crops with high nutrient contents. Biofortified crop varieties should be grown in areas with populations at risk of nutrient deficiency and in areas where the same crop is already grown and consumed. Information on the population at risk of nutrient deficiency is rarely available for sub-national administrative units, such as provinces, districts, and municipalities. Nor is this type of information commonly analyzed with data on agricultural production. This project developed a method to identify populations at risk of nutrient deficiency in zones with high crop production, places where biofortification interventions could be targeted. RESULTS: Nutrient deficiency risk data were combined with crop production and socioeconomic data to assess the suitability of establishing an intervention. Our analysis developed maps of candidate sites for biofortification interventions for nine countries in Latin America and the Caribbean. Results for Colombia, Nicaragua, and Bolivia are presented in this paper. Interventions in northern Colombia appear promising for all crops, while sites for bean biofortification are widely scattered throughout the country. The most promising sites in Nicaragua are found in the center-north region. Candidate sites for biofortification in Bolivia are found in the central part of the country, in the Andes Mountains. The availability and resolution of data limits the analysis. Some areas show opportunities for biofortification of several crops, taking advantage of their spatial coincidence. Results from this analysis should be confirmed by experts or through field visits. CONCLUSION: This study demonstrates a method for identifying candidate sites for biofortification interventions. The method evaluates populations at risk of nutrient deficiencies for sub-national administrative regions, and provides a reasonable alternative to more costly, information-intensive approaches

Un esquema conceptual para identificar localidades con poblaciones en riesgo de anemia y desnutrición crónica

Datos nacionales e incluso departamentales de anemia y desnutrición crónica se recolectan con periodicidad. Es raro encontrar datos a nivel municipal del estado nutricional de una población, información necesaria para focalizar intervenciones. Un esquema conceptual se desarrolló, aplicó y válido. Datos bioquímicos (prevalencia departamental de hemoglobina infantil < 11 g/dL), antropométricos (prevalencia departamental de talla/edad infantil < -2 Desviación Estándar) y socioeconómicos (a nivel municipal, índice de intensidad de pobreza ó población bajo la línea de pobreza extrema) se usaron para identificar localidades con riesgo de presentar anemia y desnutrición crónica, en 11 países latinoamericanos. En un sistema de información geográfica, se unificaron datos nutricionales y socioeconómicos a un mismo formato espacial, que representaba una localidad en un determinado departamento de un país. Se ubicaron aquellas localidades donde coincidían alta desnutrición (anemia o crónica) y pobreza. Para la desnutrición crónica, hubo una alta relación de localidades identificadas con el esquema, al compararlas con datos recolectados a nivel municipal (= 66%), mas no cuando se comparó con un método estadístico (0%). Este esquema articulado a un software de mapeo facilitó la identificación de localidades con poblaciones en riesgo a anemia y desnutrición crónica. Es importante validar el esquema con estudios de campo

Identification Of Critical Source Areas Of Sediment Pollution: South Fork New River

Soil erosion potential was modeled in the South Fork of the New River watershed using remote sensing and geographic information systems (GIS)