Colombia: compromise or containment?

The design, reformulation, and final signing of Plan Colombia by the then US President, Bill Clinton, on the 13 July 2000 initiated in a new era of the US State´s involvement in supposedly sovereign-territorial issues of Colombian politics. The implementation of Plan Colombia there-on-after brought about a major realignment of political-military scales and terrains of conflict that have renewed discourses concerning the contemporary imperialist interests of key US-based but transnationally-projected social forces, leading to arguments that stress the invigorated geo-political dimension of present-day strategies of capitalist accumulation. With the election of Álvaro Uribe Vélez as Colombian President in May 2002 and his pledge to strengthen the national military campaign aganist the region´s longest-surviving insurgency guerrilla group, Las FARC-EP, as well as other guerrilla factions, combined with a new focus on establishing the State project of “Democratic Security”; the military realm of governance and attempts to ensure property security and expanding capitalist investment have attained precedence in Colombia´s national political domains. This working paper examines the interrelated nature of Plan Colombia -as a binational and indeed regional security strategy- and Uribe´s Democratic Security project as a means of showing the manner in which they have worked to pave the way for the implementation of a new “total market” regime of accumulation, based on large-scale agro-industrial investment which is accelerated through processes of accumulation via dispossession. As such, the political and social reconfigurations involved manifest the multifarious scales of governance that become intertwined in incorporating neoliberalism in specific regions of the world economy. Furthermore, the militarisation-securitisation of such policies also illustrate the explicit contradictions of neoliberalism in a peripheral context, where coercion seems to prevail, something which leads to a profound questioning of the extent to which neoliberalism can be thought of as a hegemonic politico-economic project.

The Effect of Climate Variability on Main Components of Cow Milk in Iran

The main purpose of this study is to assess the relationship between six bioclimatic indices for cattle (temperature humidity (THI), environmental stress (ESI), equivalent temperature (ESI), heat load (HLI), modified heat load (HLInew) and respiratory rate predictor(RRP)) and fundamental milk components (fat, protein, and milk yield) considering uncertainty. The climate parameters used to calculate the climate indices were taken from the NASA-Modern Era Retrospective-Analysis for Research and Applications (NASA-MERRA) reanalysis from 2002 to 2010. Cow milk data were considered for the same period from April to September when cows use natural pasture, with possibility for cows to choose to stay in the barn or to graze on the pasture in the pasturing system. The study is based on a linear regression analysis using correlations as a summarizing diagnostic. Bootstrapping is used to represent uncertainty estimation through resampling in the confidence intervals. To find the relationships between climate indices (THI, ETI, HLI, HLInew, ESI and RRP) and main components of cow milk (fat, protein and yield), multiple liner regression is applied. The least absolute shrinkage selection operator (LASSO) and the Akaike information criterion (AIC) techniques are applied to select the best model for milk predictands with the smallest number of climate predictors. Cross validation is used to avoid over-fitting. Based on results of investigation the effect of heat stress indices on milk compounds separately, we suggest the use of ESI and RRP in the summer and ESI in the spring. THI and HLInew are suggested for fat content and HLInew also is suggested for protein content in the spring season. The best linear models are found in spring between milk yield as predictands and THI, ESI,HLI, ETI and RRP as predictors with p-value < 0.001 and R2 0.50, 0.49. In summer, milk yield with independent variables of THI, ETI and ESI show the highest relation (p-value < 0.001) with R2 (0.69). For fat and protein the results are only marginal. It is strongly suggested that new and significant indices are needed to control critical heat stress conditions that consider more predictors of the effect of climate variability on animal products, such as sunshine duration, quality of pasture, the number of days of stress (NDS), the color of skin with attention to large black spots, and categorical predictors such as breed, welfare facility, and management system. This methodology is suggested for studies investigating the impacts of climate variability/change on food quality/security, animal science and agriculture using short term data considering uncertainty or data collection is expensive, difficult, or data with gaps.