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Measuring the effectiveness of management interventions at regional scales by integrating ecological monitoring and modelling

机译:通过整合生态监测和建模来衡量区域规模的管理干预措施的有效性

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摘要

BACKGROUNDBecause of site‐specific effects and outcomes, it is often difficult to know whether a management strategy for the control of pests has worked or not. Population dynamics of pests are typically spatially and temporally variable. Moreover, interventions at the scale of individual fields or farms are essentially unreplicated experiments; a decrease in a target population following management cannot safely be interpreted as success because, for example, it might simply be a poor year for that species. Here, we argue that if large‐scale data are available, population models can be used to measure outcomes against the prevailing mean and variance. We apply this approach to the problem of rotational management of the weed Alopecurus myosuroides.
机译:背景技术由于特定地点的影响和结果,通常很难知道控制有害生物的管理策略是否奏效。有害生物的种群动态通常在空间和时间上是可变的。此外,在单个田地或农场范围内进行干预基本上是无法重复的实验;管理后目标种群的减少不能安全地解释为成功,因为例如,对于该物种而言,这可能仅仅是糟糕的一年。在这里,我们认为,如果有大规模数据可用,则可以使用人口模型根据普遍的均值和方差来衡量结果。我们将这种方法应用于杂草Aurocurus myosuroides的轮作管理问题。

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