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利用斑块占有调查解开种子库和扩散在植物复合种群动态中的作用。

Disentangling the role of seed bank and dispersal in plant metapopulation dynamics using patch occupancy surveys.

机构信息

CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE - 1919, route de Mende - 34293, Montpellier, France.

INRA, UMR 1334 AGAP, Campus Supagro Bât 21, 2 place Pierre Viala, Montpellier, F-34060, France.

出版信息

Ecology. 2017 Oct;98(10):2662-2672. doi: 10.1002/ecy.1960. Epub 2017 Aug 22.

Abstract

In plants, the presence of a seed bank challenges the application of classical metapopulation models to aboveground presence surveys; ignoring seed bank leads to overestimated extinction and colonization rates. In this article, we explore the possibility to detect seed bank using hidden Markov models in the analysis of aboveground patch occupancy surveys of an annual plant with limited dispersal. Patch occupancy data were generated by simulation under two metapopulation sizes (N = 200 and N = 1,000 patches) and different metapopulation scenarios, each scenario being a combination of the presence/absence of a 1-yr seed bank and the presence/absence of limited dispersal in a circular 1-dimension configuration of patches. In addition, because local conditions often vary among patches in natural metapopulations, we simulated patch occupancy data with heterogeneous germination rate and patch disturbance. Seed bank is not observable from aboveground patch occupancy surveys, hence hidden Markov models were designed to account for uncertainty in patch occupancy. We explored their ability to retrieve the correct scenario. For 10 yr surveys and metapopulation sizes of N = 200 or 1,000 patches, the correct metapopulation scenario was detected at a rate close to 100%, whatever the underlying scenario considered. For smaller, more realistic, survey duration, the length for a reliable detection of the correct scenario depends on the metapopulation size: 3 yr for N = 1,000 and 6 yr for N = 200 are enough. Our method remained powerful to disentangle seed bank from dispersal in the presence of patch heterogeneity affecting either seed germination or patch extinction. Our work shows that seed bank and limited dispersal generate different signatures on aboveground patch occupancy surveys. Therefore, our method provides a powerful tool to infer metapopulation dynamics in a wide range of species with an undetectable life form.

摘要

在植物中,种子库的存在挑战了将经典的复合种群模型应用于地上存在调查的应用;忽略种子库会导致灭绝和定居率的高估。在本文中,我们探讨了在分析具有有限扩散能力的一年生植物地上斑块占据调查时,使用隐马尔可夫模型检测种子库的可能性。斑块占据数据是通过在两种复合种群大小(N=200 和 N=1000 个斑块)和不同复合种群情景下的模拟生成的,每个情景都是 1 年种子库存在/不存在和在圆形一维斑块配置中存在/不存在有限扩散的组合。此外,由于自然复合种群中斑块之间的局部条件经常不同,我们模拟了具有不同萌发率和斑块干扰的斑块占据数据。种子库不能从地上斑块占据调查中观察到,因此隐马尔可夫模型被设计用来解释斑块占据的不确定性。我们探讨了它们从斑块占据数据中检索正确情景的能力。对于 10 年的调查和 N=200 或 1000 个斑块的复合种群大小,无论考虑的情景如何,正确的复合种群情景的检测率都接近 100%。对于更现实、更小的调查持续时间,可靠检测正确情景的长度取决于复合种群大小:对于 N=1000,需要 3 年;对于 N=200,需要 6 年。我们的方法仍然能够在影响种子萌发或斑块灭绝的斑块异质性存在的情况下,将种子库与扩散区分开来。我们的研究表明,种子库和有限扩散会在地上斑块占据调查中产生不同的特征。因此,我们的方法为推断具有不可检测生命形式的广泛物种的复合种群动态提供了一个强大的工具。

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