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Grasslands of the World.pdf - Disasters and Conflicts - UNEP

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146<br />

<strong>Grassl<strong>and</strong>s</strong> <strong>of</strong> <strong>the</strong> world<br />

(Cavagnaro et al., 2001; Wassner <strong>and</strong> Ravetta, 2001); within-genus shrub<br />

genetic diversity (Bottini et al., 2001); <strong>the</strong> effects <strong>of</strong> pruning or cloning treatments<br />

(Arena, Peri <strong>and</strong> Vater, 2001; Peri, Arena <strong>and</strong> Vater, 2001); segregation<br />

<strong>of</strong> shrub species in relation to rainfall gradients (Marcolin <strong>and</strong> Bustos, 2001);<br />

allocation patterns or morphological attributes in sympatric shrub species<br />

(Stronatti et al., 2001; Vilela, Agüero <strong>and</strong> Ravetta, 2001); <strong>and</strong> factors influencing<br />

insect herbivory in shrubs (D’Ambrogio <strong>and</strong> Fernández, 2001; Villacide<br />

<strong>and</strong> Farina, 2001).<br />

A few researchers are studying seed biology or germination dynamics in<br />

relation to presence <strong>of</strong> microphytic crusts (Villasuso et al., 2001), litter accumulation<br />

(Rotundo <strong>and</strong> Aguiar, 2001), plant life-form (Vargas <strong>and</strong> Bertiller,<br />

2001), or grazing (Oliva, Collantes <strong>and</strong> Humano, 2001). Finally, <strong>the</strong>re are a<br />

small number <strong>of</strong> studies addressing miscellaneous issues ranging from secondary<br />

succession patterns on cultivated rangel<strong>and</strong>s to endophyte fungi in a series<br />

<strong>of</strong> grasses from Patagonia (Cibils, Peinetti <strong>and</strong> Oliva, 2001; Vila Aiub et al.,<br />

2001).<br />

Management activities<br />

The need for management tools to regulate grazing <strong>and</strong> slow down rates<br />

<strong>of</strong> vegetation deterioration has led to <strong>the</strong> development <strong>of</strong> a number <strong>of</strong><br />

vegetation-based pasture assessment routines over <strong>the</strong> past decade. Most <strong>of</strong><br />

<strong>the</strong>se (developed primarily by INTA) are being used in almost all provinces <strong>of</strong><br />

Argentinian Patagonia , ei<strong>the</strong>r by government agencies or private consultants<br />

(Borrelli <strong>and</strong> Oliva, 1999; Nakamatsu, Escobar <strong>and</strong> Elissalde, 2001; Bonvissuto,<br />

2001; Siffredi et al., 2002).<br />

The rangel<strong>and</strong> assessment methods used in <strong>the</strong> provinces <strong>of</strong> Río Negro<br />

<strong>and</strong> Chubut (generally areas <strong>of</strong> shrub-steppe vegetation ) basically involve: <strong>the</strong><br />

measurement <strong>of</strong> vegetation cover (forage species cover, in particular); <strong>and</strong> estimation<br />

<strong>of</strong> ANPP using annual precipitation data (see appendix in Golluscio,<br />

Deregibus <strong>and</strong> Paruelo, 1998). The routine used in Santa Cruz (generally<br />

applied to grass -steppes <strong>and</strong> semi -deserts ) involves: <strong>the</strong> measurement <strong>of</strong> forage<br />

biomass (short-grasses, sedges <strong>and</strong> forbs); <strong>and</strong> grass key species stubble<br />

heights (Borrelli <strong>and</strong> Oliva, 1999). The output <strong>of</strong> all methods is an estimate <strong>of</strong><br />

sheep carrying capacity . Whereas <strong>the</strong> biomass-based method involves yearly<br />

monitoring , <strong>the</strong> vegetation-cover-based methods do not. In all cases, however,<br />

assessment routines are fairly labour-intensive <strong>and</strong> <strong>the</strong>refore, in some instances,<br />

<strong>the</strong>ir use becomes economically unviable. A number <strong>of</strong> efforts aim at reducing<br />

labour costs by using up-to-date technological tools to facilitate a more widespread<br />

adoption <strong>of</strong> range assessment routines.<br />

Scientists at <strong>the</strong> Universidad de Buenos Aires (IFEVA-UBA) are using<br />

L<strong>and</strong>sat TM image analysis to derive primary productivity estimates from<br />

NDVI values to calculate carrying capacity at individual pasture scales (Paruelo<br />

et al., 2001). Ano<strong>the</strong>r approach that is currently being investigated by INTA

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