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

机译:使用补丁占用调查解散种子群和分散在植物元造理动态的作用

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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.
机译:在植物中,种子银行的存在挑战古典比例模型在地上的地下调查中的应用;忽略种子库导致过高的灭绝和殖民率。在本文中,我们探讨使用隐马尔可夫模型检测种子库的可能性,在分析了有限的分散的年度植物的地上补丁占据速度调查中。补丁占用数据是通过两种比例大小(n = 200和n = 1,000个补丁)和不同的比例方案的模拟生成的,每个场景是1 yr种子库的存在/不存在和有限的存在/不存在的组合在斑块的圆形1维构型中分散。此外,由于当地条件通常在天然间隙中的斑块之间变化,因此我们模拟了具有异质萌发率和补丁干扰的补丁占用数据。种子库不可观察到地上补丁占用率调查,因此隐藏的马尔可夫模型旨在考虑补丁占用的不确定性。我们探讨了检索正确情景的能力。对于N = 200或1,000个斑块的10 yr调查和数量尺寸,无论考虑的潜在情景如何,都会检测到接近100%的速率。对于更小,更现实的调查持续时间,可靠地检测正确场景的长度取决于比例大小:3 YR用于n = 1,000,n = 200的6 yr足够。我们的方法在存在斑块异质性的情况下,在影响种子萌发或斑块灭绝的情况下,在分散的情况下仍然强大。我们的工作表明,种子群和有限的分散在地上补丁占用调查时产生了不同的签名。因此,我们的方法提供了一种强大的工具,可在各种物种中推断出具有未定例的生命形式的众多物种。

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