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首页> 外文期刊>African Journal of Environmental Science and Technology >Predicting environmental factors influencing crop raiding by African elephants (Loxodonta africana) in the Luangwa Valley, eastern Zambia
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Predicting environmental factors influencing crop raiding by African elephants (Loxodonta africana) in the Luangwa Valley, eastern Zambia

机译:预测影响赞比亚东部卢安瓜谷非洲象(Loxodonta africana)掠夺作物的环境因素

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摘要

Elephant crop raiding is pervasive and widespread in elephant-agriculture landscapes. Due to rare investigations on underlying African elephant (Loxodonta africana) crop raiding processes and patterns, neither reliable predictive models nor empirical evidence on elephant crop raiding parameters are available or adequate to support intervening decisions by susceptible farmers and other stakeholders. By developing predictive models of binary logistic regression and employing questionnaire surveys, we examined the environmental factors influencing occurrence of crop raiding by interrogating effectiveness of counter-measures implemented by local farmers in Luangwa Valley, eastern Zambia. Farm sizes, vegetation types in peripherals of crop fields and types of counter-measures used by local farmers to restrain marauding elephants were the most important elephant crop raiding predictors. Smaller crop fields (≤4782.00 ± 342.00 m2) were more vulnerable than larger ones. Most crop fields (75.88%, n=236) surrounded byBrachystegiaandAcaciadominated vegetation communities were damaged, largely due to high tree fruiting which were elephant attractants. Solar powered electric fences were more effective than other counter-measures. Though traditional methods were prevalent, they were less effective than other counter-measures. It was posited that additional capacity development of local farmers was required particularly, in participatory integrative land use practices to minimize elephant crop raiding.
机译:大象农作物袭击在大象农业景观中无处不在。由于对底层非洲象(Loxodonta africana)作物突袭过程和模式的研究很少,因此尚无可靠的预测模型或大象突袭参数的经验证据来支持易受害农民和其他利益相关者的干预决策。通过开发二元逻辑回归的预测模型并使用问卷调查,我们通过询问赞比亚东部卢安瓜谷当地农民实施的对策有效性,研究了影响农作物突袭发生的环境因素。农场规模,农田周围的植被类型以及当地农民用来抑制掠夺性大象的对策类型是最重要的大象农作物突袭预测指标。较小的耕地(≤4782.00±342.00 m2)比较大的耕地更容易受到伤害。被Brachystegia和以金合欢为主的植被群落所包围的大多数农田(75.88%,n = 236)受到了破坏,这主要是由于高树果作为大象引诱剂。太阳能电围栏比其他对策更为有效。尽管传统方法很普遍,但是它们比其他对策无效。据认为,特别是在参与性的综合土地利用做法中,需要最大程度地发展当地农民的能力,以尽量减少对象作物的袭击。

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