首页> 外文期刊>Ecological Modelling >Seasonal variation in energy gain explains patterns of resource use by avian herbivores in an agricultural landscape: Insights from a mechanistic model
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Seasonal variation in energy gain explains patterns of resource use by avian herbivores in an agricultural landscape: Insights from a mechanistic model

机译:能源增益的季节变化解释了农业景观中禽中食的资源使用模式:机制模型的见解

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Our understanding of how energy shapes animal behavioural decisions has been limited by the difficulty of measuring directly the energy gain and expenditure in free-living animals. Mechanistic models that simulate energy gain and expenditure from estimable parameters can overcome these limitations and hence could help scientists to gain a predictive understanding of animal behaviour. Such models could be used to test mechanistic explanations of observed patterns of resource use within a landscape, such as behavioural decisions to switch among food resources. Here, we developed mechanistic models of the instantaneous and daily rates of net energy gain for two species of migratory swans, the Bewick's swan (Cygnus columbianus bewickii) and whooper swan (Cygnus Cygnus), that feed on root and cereal crops within an agricultural landscape in eastern England. Field data show that both species shift from using predominantly root crops (e.g. sugar beet and potatoes) in early winter to using mostly cereals (e.g. wheat) in late winter. Our models correspondingly predicted that swans could achieve the greatest rates of net energy gain on root crops in early winter and on cereal crops in late winter. The change from root crops to cereal crops providing the greatest net rates of energy gain was predicted to occur at the same time as the birds' switch from feeding predominantly on root crops to predominantly cereal crops (between December and January). We used Monte Carlo simulations to account for variance in model parameters on predictions of energy gain and profitability. A sensitivity analysis indicated that predictions of net energy gain were most sensitive to variance in the intake rate and food quantity parameters. The agreement between our model estimates of energy gain and the observed shifts in resource use observed among the overwintering swans suggests that maximising net rates of energy gain is an important resource selection strategy among overwintering birds. A mechanistic understanding of where and when birds will use food resources can inform the conservation management of key feeding areas for species of conservation concern, as well as the deployment of crop protection strategies.
机译:我们了解能量形状如何塑造动物行为决策的难度受到直接测量自由活体中的能源收益和支出的限制。模拟可估计参数的能量增益和支出的机械模型可以克服这些限制,因此可以帮助科学家获得对动物行为的预测理解。这些模型可用于测试观察到的景观中的资源使用模式的机械解释,例如在食品资源之间切换的行为决策。在这里,我们开发了两种迁徙天鹅的净能量增益的机械模型,Bewick的天鹅(Cygnus Columbianus Bewickii)和Whooper Swan(Cygnus cygnus),在农业景观中喂养根和谷物作物在英格兰东部。现场数据表明,两种物种在早期使用主要在冬季的初期使用根系作物(例如甜菜和土豆),以在深夜使用大多数谷物(例如小麦)。我们的模型相应地预测,天鹅在冬季冬季和谷物作物上都可以实现根部作物的最大净能源率。预计从根本作物到谷物作物的变化,以鸟类交换机喂养根部作物,主要发生在主要谷物作物(12月至1月)之间相同。我们使用Monte Carlo模拟来考虑了在能源增益和盈利能力预测上的模型参数方差。灵敏度分析表明,净能量增益的预测对进气率和食物量参数的方差最敏感。我们在越冬天王中观察到的能源增益模型估计和观察到的资源使用的转变之间的协议表明,最大化能源增益的净率是过冬鸟类中的重要资源选择策略。机械理解在鸟类将使用食物资源的地方和当鸟类可以提供养护界面的关键喂养领域的保护管理,以及作物保护策略的部署。

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