Title
Howlers are able to survive in eucalyptus plantations where remnant and regenerating vegetation is available
Author(s)
Bonilla-Sánchez, Y. M.;Serio-Silva, J. C.;Pozo-Montuy, G.;Chapman, C. A.
Published
2012
Publisher
International Journal of Primatology
Abstract
Reversing forest loss through reforestation has become a critical strategy to decrease global climate change, and such programs are more likely to be initiated if they can produce a subsequent monetary gain for the host country. As a result, the planting of monocultures of harvestable trees has become widespread and the practice is accelerating. However, little is known about the effect of such reforestation strategies on biodiversity. Here we quantify the demographic patterns of a population of black howlers (Alouatta pigra) living in a 200-ha eucalyptus plantation with connected remnant forests in southeastern Mexico. We compare our results to data from the literature from forest fragments, extensive forest tracts, and different agrosystems. The howler population inhabiting the plantation grew from 69 individuals in 2007 to 77 in 2008 (11. 6% growth) and to 84 in 2009 (9. 1% growth). During this time the howlers fed extensively on the native vegetation that was growing under the eucalyptus, vines that grew on the plantation trees, and adjacent areas of native secondary growth, but they almost never fed on eucalyptus. Howler density in the plantation was greater than in extensive forest tracts or forest fragments, whereas mean group size was similar to that in the forest tracts and greater than in the fragments and agrosystems. There was no apparent difference in the adult female-to-immature ratio among sites. Our results indicate that plantations that have associated native vegetation can play a positive role in the conservation of this species, but suggest that harvesting regimens must be carefully orchestrated to prevent associated food scarcity. © 2011 Springer Science+Business Media, LLC.
Keywords
Alouatta pigra;Demography;Eucalyptus;Plantations;Population structure
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