The United Nations and the African Union: Assessing a partnership for peace in Darfur

In Resolution 1556, the Security Council, with the conflict in Darfur clearly in mind, determined that the ‘situation in Sudan constitutes a threat to international peace and security and to stability in the region’. This article focuses on the response by the United Nations, in particular the Security Council, and the African Union to the Darfur conflict. It begins by exploring the role of peacekeeping operations and regional arrangements or agencies in the overarching architecture of international peace and security. Having laid this frame of reference, it then looks at the modalities of peacekeeping in Darfur. These operations began with the African Union acting in isolation but have transitioned to an increasingly important role being played by the United Nations and a hybrid peacekeeping presence. Finally, this article asks whether, assuming that a legally dispositive conclusion can be drawn that genocide has taken place in Darfur since the outbreak of hostilities there in 2003, there exists a legal justification, or even obligation, for non-compliance by states with the sanctions regime established by Security Council Resolutions 1556 and 1591. This regime of sanctions has played an important part in the Security Council's approach to Darfur but has been, unfortunately, left largely unexamined from the standpoint of international legality.

A comparison of three canopy interception models for a leafless mixed deciduous forest stand in the eastern United States

Canopy interception of incident precipitation is a critical component of the forest water balance during each of the four seasons. Models have been developed to predict precipitation interception from standard meteorological variables because of acknowledged difficulty in extrapolating direct measurements of interception loss from forest to forest. No known study has compared and validated canopy interception models for a leafless deciduous forest stand in the eastern United States. Interception measurements from an experimental plot in a leafless deciduous forest in northeastern Maryland (39°42'N, 75°5'W) for 11 rainstorms in winter and early spring 2004/05 were compared to predictions from three models. The Mulder model maintains a moist canopy between storms. The Gash model requires few input variables and is formulated for a sparse canopy. The WiMo model optimizes the canopy storage capacity for the maximum wind speed during each storm. All models showed marked underestimates and overestimates for individual storms when the measured ratio of interception to gross precipitation was far more or less, respectively, than the specified fraction of canopy cover. The models predicted the percentage of total gross precipitation (PG) intercepted to within the probable standard error (8.1%) of the measured value: the Mulder model overestimated the measured value by 0.1% of PG; the WiMo model underestimated by 0.6% of PG; and the Gash model underestimated by 1.1% of PG. The WiMo model’s advantage over the Gash model indicates that the canopy storage capacity increases logarithmically with the maximum wind speed. This study has demonstrated that dormant-season precipitation interception in a leafless deciduous forest may be satisfactorily predicted by existing canopy interception models.

Relationship between incidence and severity of cashew gummosis in semiarid north-eastern Brazil

The incidence-severity relationship for cashew gummosis, caused by Lasiodiplodia theobromae, was studied to determine the feasibility of using disease incidence to estimate indirectly disease severity in order to establish the potential damage caused by this disease in semiarid north-eastern Brazil. Epidemics were monitored in two cashew orchards, from 1995 to 1998 in an experimental field composed of 28 dwarf clones, and from 2000 to 2002 in a commercial orchard of a single clone. The two sites were located 10 km from each other. Logarithmic transformation achieved the best linear adjustment of incidence and severity data as determined by coefficients of determination for place, age and pooled data. A very high correlation between incidence and severity was found in both fields, with different disease pressures, different cashew genotypes, different ages and at several epidemic stages. Thus, the easily assessed gummosis incidence could be used to estimate gummosis severity levels.