The use of conspecific reproductive success for breeding patch selection in terrestrial migratory species

The use of conspecific reproductive success for breeding patch selection in terrestrial migratory species
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DOI:
10.1007/s10682-997-1507-0
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发表时间:
1997-09-01
影响因子:
1.9
通讯作者:
Danchin, E
Danchin, E
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Boulinier, T;Danchin, E

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传统的繁殖生境选择模型很少涉及斑块质量评价的信息收集问题。在本文中,我们提出了两个模型来比较基于同种繁殖成功的行为策略的适应度结果,作为在选择新的繁殖栖息地之前评估当地环境质量的线索。这些模型涉及领土迁徙物种生命周期的两个阶段:重新加入繁殖种群(模型1)和随后繁殖尝试的繁殖地点保真度(模型2)。第一个模型表明,如果环境是可预测的,并且良好斑块的比例很低,即使这意味着失去一个繁殖机会,在招募前寻找繁殖斑块是最好的策略。第二个模型表明,如果环境是不均匀的,在繁殖尝试后根据斑块的繁殖成功而不是个体自身的成功进行分散是最好的策略。这些结果强调了在考虑基于同种物种的生境选择策略的重要性时,研究影响繁殖成功因素的时空变化的重要性。此外,它们允许理解在自然种群中观察到的个体行为模式及其在元种群水平上的潜在后果。
Classical models of breeding habitat selection rarely deal with the question of information gathering for patch quality assessment. In this paper, we present two models comparing the fitness outcomes of behavioural strategies based on conspecific reproductive success as a cue to assess local environmental quality before selecting a new breeding habitat. The models deal with two phases of the life-cycle of a territorial migratory species: recruitment to a breeding population (model 1) and breeding site fidelity of subsequent breeding attempts (model 2). The first model shows that prospecting breeding patches before recruiting is the best strategy if the environment is predictable and contains a low proportion of good patches, even if it implies losing a breeding opportunity. The second model shows that dispersing after a breeding attempt according to the patch's breeding success rather than the individual's own success is the best strategy if the environment is patchy. These results underline the importance of studying the spatio-temporal variations of factors affecting reproductive success when considering the importance of habitat selection strategies based on conspecifics. Moreover, they allow the understanding of individual behaviour patterns observed in natural populations and their potential consequences at the metapopulation level.