Connectivity and resilience of coral reef metapopulations in marine protected areas: matching empirical efforts to predictive needs.
Connectivity and resilience of coral reef metapopulations in marine protected areas: matching empirical efforts to predictive needs.
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DOI：
10.1007/s00338-009-0466-z
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发表时间：
2009-06
期刊：
影响因子：
3.5
通讯作者：
Jones, G. P.
中科院分区：
文献类型：
--
作者：
Botsford, L. W.;White, J. W.;Coffroth, M. -A.;Paris, C. B.;Planes, S.;Shearer, T. L.;Thorrold, S. R.;Jones, G. P.
珊瑚礁海洋保护区的设计和决策需要用种群模型预测海洋保护区的影响。对海洋保护区的建模表明，海洋保护区系统中集合种群的持久性如何取决于海洋保护区的大小和间距，以及海洋保护区以外的捕捞水平。然而，幼虫扩散产生的人口连接模式是这些建模研究中的一个关键不确定性。评估种群持久性所需的信息是一个扩散矩阵，其中包含从每个位置移动到每个位置的幼虫的比例，而不仅仅是当前位置之间交换的幼虫数量。最近的集合种群模拟研究与假设的扩散矩阵显示了如何扩散的空间尺度，平流与扩散的程度，幼虫总产量，以及时间和空间变异性的扩散影响人口的持久性。最近的实证研究，使用人口遗传学，亲子关系分析，地球化学和人工标记钙化结构，提高了分散的理解。然而，许多这类研究报告指出，目前的自我征聘（在当地定居/从其他地方定居）不如在当地留用（在当地定居/在当地释放的总人数）直接有用，后者是分散矩阵的一个组成部分。生物物理循环与幼虫颗粒跟踪建模可以提供所需的元素的分散矩阵和评估其敏感性的流量和幼虫的行为，但它需要更多的假设比直接的经验方法。为了在理解连通性的规模和模式方面取得快速进展，生态学家和人口建模者之间需要加强沟通。经验主义者需要更多地关注扩散矩阵的特征，而人口建模者需要跟踪和吸收不断发展的经验结果。
Design and decision-making for marine protected areas (MPAs) on coral reefs require prediction of MPA effects with population models. Modeling of MPAs has shown how the persistence of metapopulations in systems of MPAs depends on the size and spacing of MPAs, and levels of fishing outside the MPAs. However, the pattern of demographic connectivity produced by larval dispersal is a key uncertainty in those modeling studies. The information required to assess population persistence is a dispersal matrix containing the fraction of larvae traveling to each location from each location, not just the current number of larvae exchanged among locations. Recent metapopulation modeling research with hypothetical dispersal matrices has shown how the spatial scale of dispersal, degree of advection versus diffusion, total larval output, and temporal and spatial variability in dispersal influence population persistence. Recent empirical studies using population genetics, parentage analysis, and geochemical and artificial marks in calcified structures have improved the understanding of dispersal. However, many such studies report current self-recruitment (locally produced settlement/settlement from elsewhere), which is not as directly useful as local retention (locally produced settlement/total locally released), which is a component of the dispersal matrix. Modeling of biophysical circulation with larval particle tracking can provide the required elements of dispersal matrices and assess their sensitivity to flows and larval behavior, but it requires more assumptions than direct empirical methods. To make rapid progress in understanding the scales and patterns of connectivity, greater communication between empiricists and population modelers will be needed. Empiricists need to focus more on identifying the characteristics of the dispersal matrix, while population modelers need to track and assimilate evolving empirical results.
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影响因子：
56.9
作者：
Almany, Glenn R.;Berumen, Michael L.;Jones, Geoffrey P.
通讯作者：
Jones, Geoffrey P.
影响因子：
2.5
作者：
Bode, M;Bode, L;Armsworth, PR
通讯作者：
Armsworth, PR
影响因子：
56.9
作者：
Cowen, RK;Lwiza, KMM;Olson, DB
通讯作者：
Olson, DB
DOI：
10.1073/pnas.0506651103
发表时间：
2006-04-11
影响因子：
11.1
作者：
Hastings, A;Botsford, LW
通讯作者：
Botsford, LW
影响因子：
2.5
作者：
Aiken, Christopher M.;Navarrete, Sergio A.;Castilla, Juan Carlos
通讯作者：
Castilla, Juan Carlos