Shadeimprovesthewaterstatusofthesoilbecauseofreducedevapotranspiration in the agro-ecosystem and an increased groundcover (mulch) and decreased abundance of weeds [61].In this study we combined entomological assessment of a keycoffee pest with 82 years of climate data, as well as spatial anddemographicdata,toassesstheimpactofGEContheeconomically most important agricultural commodity and to testthe utility of an adaptation strategy that is easy to implement,hence suitable for the millions of small-scale coffee growers in thedeveloping world. Our study illustrates the remarkable changes inhuman population density, vegetation cover and land-use, localclimate and the interconnections of all these factors in the peri-urban environment of an East African capital over nearly 100years. Our study not only demonstrates the urgent need to studyclimate-change at regional spatial scales, but also the importanceof local factors. Moreover, we were able to illustrate how theseeffects can affect agricultural productivity, mainly through theirimpacts on higher trophic levels like insect herbivores. However,we also showed that a relatively simple strategy, the introduction ofshade trees in coffee plantations, could markedly improve theresilience of an agroecosystem, providing small-scale farmers inAfrica with a much-needed, easy to adopt, tool to safeguard theirlivelihoods in a changing climate.Materials and MethodsStudy siteThe study was conducted in a commercial coffee plantation inKiambu district (Central province), Kenya (Fig. 2 and Fig. S7). Nospecific permits were required for the described field studies. Twoplots ofCoffea arabicavar. Ruiru 11 (planting density 1.8261.82 m)were selected; a shaded plot (65% canopy cover) (1u11927.150S;36u49923.030E. altitude 1,722 m.a.s.l) with 300 coffee trees and 15shade trees (two avocado (Persea AmericanaL.), 1 mango (MangiferaindicaL.) and 12 grevillea (Grevillea robusta(A. Cunn.)), and a sun-grown plot (10% canopy cover from bananas at one edge of theplot) (1u11924.220S; 36u49925.100E. altitude 1,720 m.a.s.l) with280 coffee trees. Canopy cover (% shade) was estimated visuallyfour times during the course of the study, both during the rainyand dry season according to Teodoro et al. [67]. Trees in bothplantations were planted in January 1999, and both plantationswere under the same agronomic management. NoH. hampeicontrol measures were used in either plot during the course of thestudy.Environmental Changes, Coffee and Insect PestsPLOS ONE | 7January 2013 | Volume 8 | Issue 1 | e51815
Data collectionData onH. hampeiinfestation level were collected every twoweeks from June 2009 to June 2011. In both the shaded and thesun-grownplots,15treeswererandomlychosenateachevaluation date. To assessH. hampeiinfestation level, two branchesper tree were selected. There, total number of berries and totalnumberH.hampeiinfestedberrieswerecounted.Ateachevaluation date, all the infested berries from both plots wereindividually collected and taken to the International Center ofInsect Physiology and Ecology (icipe) laboratories in Nairobi,Kenya, for dissection. In the laboratory, numbers of live, dead andabsentH. hampeicolonizing females (i.e., berries that had apenetration whole in the exocarp but where the insect was notpresent), the position of colonizing females inside the berries (seebelow) and number of coffee berry borer life stages (i.e., eggs,larvae,prepupae,pupaeandadults)wereassessed
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