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涉禽在湿地景观中的觅食:两种策略的比较。

Wading bird foraging on a wetland landscape: a comparison of two strategies.

机构信息

Biological Sciences Department, Florida International University, Miami, FL, USA.

U.S. Geological Survey, Wetland and Aquatic Research Center, Davie, FL 33314, USA.

出版信息

Math Biosci Eng. 2022 May 24;19(8):7687-7718. doi: 10.3934/mbe.2022361.

Abstract

Tactile-feeding wading birds, such as wood storks and white ibises, require high densities of prey such as small fishes and crayfish to support themselves and their offspring during the breeding season. Prey availability in wetlands is often determined by seasonal hydrologic pulsing, such as in the subtropical Everglades, where spatial distributions of prey can vary through time, becoming heterogeneously clumped in patches, such as ponds or sloughs, as the wetland dries out. In this mathematical modeling study, we selected two possible foraging strategies to examine how they impact total energetic intake over a time scale of one day. In the first, wading birds sample prey patches without a priori knowledge of the patches' prey densities, moving from patch to patch, staying long enough to estimate the prey density, until they find one that meets a predetermined satisfactory threshold, and then staying there for a longer period. For this case, we solve for a wading bird's expected prey intake over the course of a day, given varying theoretical probability distributions of patch prey densities across the landscape. In the second strategy considered, it is assumed that the wading bird samples a given number of patches, and then uses memory to return to the highest quality patch. Our results show how total intake over a day is impacted by assumptions of the parameters governing the spatial distribution of prey among patches, which is a key source of parameter uncertainty in both natural and managed ecosystems. Perhaps surprisingly, the foraging strategy that uses a prey density threshold generally led to higher maximum potential prey intake than the strategy for using memory to return to the best patch sampled. These results will contribute to understanding the foraging of wading birds and to the management of wetlands.

摘要

涉禽,如美洲红鹳和白鹮,在繁殖季节需要高浓度的猎物,如小鱼和小龙虾,以维持自身和后代的生存。湿地中的猎物供应通常取决于季节性水文脉冲,如在亚热带大沼泽地,随着湿地的干涸,猎物的空间分布会随时间变化,在池塘或沼泽等斑块中变得不均匀聚集。在这项数学建模研究中,我们选择了两种可能的觅食策略,以研究它们如何在一天的时间尺度上影响总能量摄入。在第一种策略中,涉禽在没有事先了解斑块猎物密度的情况下对猎物斑块进行抽样,从一个斑块移动到另一个斑块,停留足够长的时间来估计猎物密度,直到它们找到一个满足预定满意阈值的斑块,然后在那里停留更长时间。在这种情况下,我们求解涉禽在一天的过程中预期的猎物摄入量,给定景观中斑块猎物密度的不同理论概率分布。在第二种策略中,假设涉禽对给定数量的斑块进行抽样,然后利用记忆返回质量最高的斑块。我们的结果表明,一天内的总摄入量如何受到控制猎物在斑块之间的空间分布的参数的假设的影响,这是自然和管理生态系统中参数不确定性的关键来源。也许令人惊讶的是,使用猎物密度阈值的觅食策略通常比使用记忆返回最佳抽样斑块的策略导致更高的最大潜在猎物摄入量。这些结果将有助于理解涉禽的觅食行为,并有助于湿地的管理。

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