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植物物候的波动模式决定了有蹄类动物的运动策略。

Wave-like Patterns of Plant Phenology Determine Ungulate Movement Tactics.

机构信息

Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, Laramie, WY 82071, USA.

Center for Ecological and Evolutionary Synthesis, Department of Bioscience, University of Oslo, 0316 Oslo, Norway.

出版信息

Curr Biol. 2020 Sep 7;30(17):3444-3449.e4. doi: 10.1016/j.cub.2020.06.032. Epub 2020 Jul 2.

DOI:10.1016/j.cub.2020.06.032
PMID:32619482
Abstract

Animals exhibit a diversity of movement tactics [1]. Tracking resources that change across space and time is predicted to be a fundamental driver of animal movement [2]. For example, some migratory ungulates (i.e., hooved mammals) closely track the progression of highly nutritious plant green-up, a phenomenon called "green-wave surfing" [3-5]. Yet general principles describing how the dynamic nature of resources determine movement tactics are lacking [6]. We tested an emerging theory that predicts surfing and the existence of migratory behavior will be favored in environments where green-up is fleeting and moves sequentially across large landscapes (i.e., wave-like green-up) [7]. Landscapes exhibiting wave-like patterns of green-up facilitated surfing and explained the existence of migratory behavior across 61 populations of four ungulate species on two continents (n = 1,696 individuals). At the species level, foraging benefits were equivalent between tactics, suggesting that each movement tactic is fine-tuned to local patterns of plant phenology. For decades, ecologists have sought to understand how animals move to select habitat, commonly defining habitat as a set of static patches [8, 9]. Our findings indicate that animal movement tactics emerge as a function of the flux of resources across space and time, underscoring the need to redefine habitat to include its dynamic attributes. As global habitats continue to be modified by anthropogenic disturbance and climate change [10], our synthesis provides a generalizable framework to understand how animal movement will be influenced by altered patterns of resource phenology.

摘要

动物表现出多种运动策略[1]。跟踪在空间和时间上不断变化的资源被预测为动物运动的基本驱动因素[2]。例如,一些迁徙有蹄类动物(即有蹄哺乳动物)密切跟踪高营养植物变绿的过程,这种现象被称为“绿色浪潮冲浪”[3-5]。然而,缺乏描述资源动态性质如何决定运动策略的一般原则[6]。我们测试了一个新兴理论,该理论预测冲浪和迁徙行为的存在将在资源短暂且在大景观中顺序移动的环境中得到青睐(即波浪状的变绿)[7]。表现出波浪状变绿模式的景观促进了冲浪,并解释了两个大陆上四个有蹄类物种的 61 个种群中迁徙行为的存在(n=1696 个体)。在物种水平上,两种策略的觅食收益相当,这表明每种运动策略都针对植物物候的局部模式进行了微调。几十年来,生态学家一直试图了解动物如何移动以选择栖息地,通常将栖息地定义为一组静态斑块[8,9]。我们的研究结果表明,动物的运动策略是资源在空间和时间上流动的函数,这突显了重新定义栖息地以包括其动态属性的必要性。随着全球栖息地继续受到人为干扰和气候变化的影响[10],我们的综合研究提供了一个可推广的框架,以了解资源物候模式的改变将如何影响动物的运动。

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