Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests.-猫眼课题宝

DOI：

10.1002/eap.2015

发表时间：

2019-11

期刊：

Ecological applications : a publication of the Ecological Society of America

影响因子：

通讯作者：

中科院分区：

其他

文献类型：

作者：

M. Wilber;Sarah M. Chinn;J. Beasley;R. Boughton;R. Brook;S. Ditchkoff;J. Fischer;S. Hartley;L. Holmstrom;J. Kilgo;Jesse S. Lewis;Ryan S. Miller;Nathan P. Snow;K. Vercauteren;S. Wisely;C. Webb;K. Pepin

功能响应描述了资源可用性的变化如何影响消费者的资源使用，从而提供了一种机械方法来预测外来入侵物种（IAS）的入侵和潜在损害。然而，功能反应可能取决于环境，随资源特征和可用性、消费者属性和环境变量而变化。识别环境依赖性可以预测不同生态区的入侵和破坏风险。了解生态因素如何影响农业生态系统的功能反应，可以改进对影响最大的热点的预测，并为减轻不同作物类型和可用性地区的损害提供依据。我们将不同农业生态系统的异质运动数据联系起来，以预测生态驱动的功能反应的变异性。我们将我们的方法应用于野猪（Sus scrofa），野猪是世界上最成功和最有害的外来入侵物种之一，农业资源的掠夺是其传播和定居的重要驱动力。我们使用农业生态系统内的大陆规模运动数据来量化农业资源相对于农作物和天然饲料可用性的功能响应。我们假设，当天然饲料资源匮乏时，野猪会选择性地更频繁地使用农作物。我们还研究了性别、作物类型等个体属性和距作物距离等资源刺激如何改变功能反应的程度。存在强烈的农业功能响应，其中作物利用是低密度作物可用性的加速函数（III 型）并且高度依赖于环境。正如假设的那样，当非农业资源更容易获得时，随着作物可用性的增加，作物使用的反应会减弱，这强调作物损害水平可能高度异质，具体取决于周围的自然资源和作物的时间可用性。我们发现作物类型和性别具有显着影响 - 男性比女性多花 20% 的时间，访问作物的次数多 58%，并且根据作物类型，两性都表现出不同的功能反应。我们的应用程序展示了如何使用通常收集的动物运动数据来了解资源使用的环境依赖性，以提高我们对害虫觅食行为的理解，这对于优先考虑农业生态系统中潜在经济损失的时空热点具有重要意义。

Functional responses describe how changing resource availability affects consumer resource use, thus providing a mechanistic approach to prediction of the invasibility and potential damage of invasive alien species (IAS). However, functional responses can be context-dependent, varying with resource characteristics and availability, consumer attributes, and environmental variables. Identifying context-dependencies can allow invasion and damage risk to be predicted across different ecoregions. Understanding how ecological factors shape the functional response in agro-ecosystems can improve predictions of hotspots of highest impact and inform strategies to mitigate damage across locations with varying crop types and availability. We linked heterogeneous movement data across different agro-ecosystems to predict ecologically-driven variability in the functional responses. We applied our approach to wild pigs (Sus scrofa), one of the most successful and detrimental IAS worldwide where agricultural resource depredation is an important driver of spread and establishment. We used continental-scale movement data within agro-ecosystems to quantify the functional response of agricultural resources relative to availability of crops and natural forage. We hypothesized that wild pigs would selectively use crops more often when natural forage resources were low. We also examined how individual attributes such as sex, crop type, and resource stimulus such as distance to crops altered the magnitude of the functional response. There was a strong agricultural functional response where crop use was an accelerating function of crop availability at low density (Type III) and was highly context-dependent. As hypothesized, there was a reduced response of crop use with increasing crop availability when non-agricultural resources were more available, emphasizing that crop damage levels are likely to be highly heterogeneous depending on surrounding natural resources and temporal availability of crops. We found significant effects of crop type and sex - with males spending 20% more time and visiting crops 58% more often than females, and both sexes showing different functional responses depending on crop type. Our application demonstrates how commonly collected animal movement data can be used to understand context-dependencies in resource use to improve our understanding of pest foraging behavior, with implications for prioritizing spatio-temporal hotspots of potential economic loss in agro-ecosystems.

Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests.

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