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最优觅食、植物密度与边际价值定理。

Optimal foraging, plant density and the marginal value theorem.

作者信息

Zimmerman Michael

机构信息

Department of Biology, College of William and Mary, 23185, Williamsburg, Virginia, USA.

出版信息

Oecologia. 1981 May;49(2):148-153. doi: 10.1007/BF00349181.

Abstract

The stochastic, discrete analogue of the marginal value theorem predicts that as the cost of moving between plants increases, bees should increase the percentage of the available flowers which they visit per plant. This prediction was tested using two populations of Polemonium foliosissimum and their primary pollinators Bombus flavifrons and B. bifarius. The results of these tests were equivocal. Bees did not perform exactly as the marginal value theorem predicted they should to maximize their rate of net energy intake. Instead of visiting more flowers per plant as movement costs increased bees were observed to alter their behavior in other ways in an attempt to maximize their rate of net energy intake. They were demonstrated to be flying randomly with respect to direction, flying short flight distances relative to the plant spacing distances encountered, flying predominately between nearest neighbor plants, and to be visiting flowers of other plant species while enroute from one P. foliosissimum flower to another P. foliosissimum flower. Such behavioral flexibility strongly implies that optimal foraging models which predict a shift in any particular behavior in response to environmental conditions are too simplistic to accurately predict foraging behavior.

摘要

边际价值定理的随机、离散模拟预测,随着在不同植株间移动的成本增加,蜜蜂应该增加每株植物上所采花朵占可采花朵的百分比。利用两群多叶花葱及其主要传粉者黄胸木蜂和双色木蜂对这一预测进行了检验。这些检验结果并不明确。蜜蜂的行为并不完全如边际价值定理所预测的那样,以最大化其净能量摄入率。随着移动成本增加,蜜蜂并未如预测那样每株植物采更多花朵,而是被观察到以其他方式改变其行为,试图最大化其净能量摄入率。结果表明,它们飞行方向随机,相对于所遇到的植株间距飞行距离较短,主要在相邻植株间飞行,并且在从一朵多叶花葱飞到另一朵多叶花葱的途中会采其他植物种类的花朵。这种行为灵活性强烈表明,预测特定行为会随环境条件变化而改变的最优觅食模型过于简单,无法准确预测觅食行为。

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