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Climate change and livestock parasites: integrated management of sheep blowfly strike in a warmer environment

机译:气候变化和牲畜寄生虫:在温暖的环境中对绵羊蝇fly的综合管理

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The incidence of parasite-mediated livestock disease is the result of a complex interaction of factors such as parasite and host abundance, host susceptibility, climate and, critically, farmer husbandry and intervention strategies, all of which change seasonally in space and time. Given the complexity of the interacting factors, the effects of environment changes on disease incidence are hard to predict, as accordingly are the optimal husbandry responses required to ameliorate any effects. Here a model system is used to explore these issues. Cutaneous myiasis (blowfly strike) is common disease of livestock and would be expected to be highly sensitive to even small changes in climate; it provides a good model for highlighting the problems inherent in attempting to predict the effect of climate change on livestock disease incidence. For this, a stochastic simulation model is used to examine the changes in the seasonal incidence of ovine cutaneous myiasis on farms in the United Kingdom and the likely effects of changes in husbandry and control strategies. The simulations show that the range of elevated temperatures predicted by current climate change scenarios result in an elongated blowfly season with earlier spring emergence and a higher cumulative incidence of strike. Overall, higher temperatures increased strike incidence disproportionately in ewes in early summer, but had relatively less direct effect on the pattern of lamb strike incidence; a +3 degrees C increase in average temperature approximately doubles the cumulative incidence of strike in lambs but results in four times more strikes in ewes. A range of strike management options is examined and the models show that changes in husbandry practices are also likely to have an important effect in reducing early season ewe strike incidences. The simulations suggest that integrated changes in husbandry practices are likely to be able to manage expected increases in strike, given the range of climate changes currently predicted.
机译:寄生虫介导的家畜疾病的发生是多种因素相互作用的结果,这些因素包括寄生虫和宿主的丰度,宿主的易感性,气候以及关键的农牧业和干预策略,所有这些因素在时空上都随季节变化。考虑到相互作用因素的复杂性,环境变化对疾病发生率的影响很难预测,因此,改善任何影响所需的最佳饲养响应也很难预测。这里使用模型系统来探索这些问题。皮肤性肌病(蝇蝇袭击)是牲畜的常见疾病,预计即使对很小的气候变化也高度敏感;它提供了一个很好的模型,可以突出显示试图预测气候变化对牲畜疾病发病率的影响所固有的问题。为此,使用随机模拟模型来检查英国农场绵羊皮肤肌病的季节性发病率变化以及畜牧业和控制策略变化的可能影响。模拟表明,当前气候变化情景预测的高温范围会导致蝇虫季节延长,春季出现较早,而罢工的累积发生率较高。总体而言,较高的温度在夏季初使母羊的罢工发生率成比例增加,但对羔羊罢工发生率的直接影响相对较小。平均温度升高+3摄氏度,羔羊罢工的累积发生率大约增加一倍,但母羊罢工的发生率增加四倍。研究了一系列罢工管理选项,模型显示,饲养管理方法的变化也可能对减少早期母羊罢工发生率具有重要影响。模拟表明,鉴于当前预测的气候变化范围,畜牧业做法的综合变化很可能能够应对罢工的预期增加。

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