Palmer A R, Strathmann R R
Friday Harbor Laboratories, University of Washington, 98250, Friday Harbor, Washington, USA.
Department of Zoology, University of Washington, 98250, Friday Harbor, Washington, USA.
Oecologia. 1981 Mar;48(3):308-318. doi: 10.1007/BF00346487.
We present several models concerning the short term consequences of spreading offspring in varying environments. Our goal is to determine what patterns of spatial and temporal variation yield an advantage to increasing scale of dispersal. Of necessity, the models are somewhat artificial but we feel they are a reasonable approximation of and hence generalizable to natural systems. With these models we examine consequences of dispersal arising from environmental variation: increased environmental variance, different degrees of spatial and temporal correlation, some arbitrary spatial patterns of favorability and finally some patterns derived from long-term, large-scale weather data collected along a contiguous stretch of coastline from southern Oregon to northern Washington (USA). We examine the costs and benefits of increasing sclae of dispersal in both density dependent and density independent models.Several conclusions may be drawn from the results of these models. In the absence of any spatial or temporal order to favorability (where favorability is directly proportional to either fitness or carrying capacity) increasing scale of spread produces a higher tate of population increase. At larger scales, though, an asymptote of maximum relative advantage is approached, so each added increment of spread has a smaller contribution to fitness. This asymptote is higher and the approach to it relatively slower with increasing environmental variance. For a given environmental variance, increasing spatial correlation results in a slower approach to the same asymptote. In density independent models, increasing temporal correlation of fitness selects against increased dispersal if expected differences between sites are sufficiently great relative to variation within sites; but in this instance, density dependence yields a somewhat different result: dispersers have a refuge at sites of low carrying capacity or sites lacking non-dispersers. Finally, optimum intermediate scales of dispersal can occur where differences in expected fitness increase with increasing distance from the parental site, such as in a gradient, but where the environmental variation at a given site is fairly large relative to differences in expected fitness between adjacent sites.The foregoing results are extended for the following predictions. When greater longevity in a resistant phase of the life cycle reduces temporal variation in survival and fecundity, increased generation time should decrease the benefits of spreading offspring in an environment that would otherwise favor spread and could either increase or decrease the costs of spreading offspring in an environment selecting against spread. We speculate that if large scale patterns of varying survival and fecundity are similar to the variation in the physical environment which we examined with weather data, there should be little or no short term advantage to large scale spread of offspring (on the order of 50 kilometers or more) because expected differences increase and seldom if ever decrease with increasing distance between sites.This suggests that feeding larvae of benthic invertebrates with their concomitant long planktonic period, receive little if any advantage from increased scale of dispersal, and consequently that the advantages to planktotrophy over lecithotrophy must lie in other life history aspects, such as the ability to produce a greater number of smaller eggs.
我们提出了几个关于在不同环境中分散后代的短期后果的模型。我们的目标是确定空间和时间变化的哪些模式会产生有利于扩大扩散规模的优势。这些模型必然有些人为设定,但我们认为它们是对自然系统的合理近似,因此具有可推广性。通过这些模型,我们研究了环境变化引起的扩散后果:环境方差增加、不同程度的空间和时间相关性、一些任意的适宜性空间模式,以及最后一些从美国俄勒冈州南部到华盛顿州北部沿海岸线连续一段收集的长期、大规模天气数据得出的模式。我们在密度依赖和密度独立模型中研究了扩大扩散规模的成本和收益。
从这些模型的结果中可以得出几个结论。在不存在任何有利于适宜性的空间或时间顺序的情况下(适宜性与适合度或承载能力成正比),扩大扩散规模会产生更高的种群增长率。然而,在更大的尺度上,会接近最大相对优势的渐近线,因此扩散的每一次增加对适合度的贡献都较小。随着环境方差的增加,这条渐近线更高,接近它的速度相对较慢。对于给定的环境方差,增加空间相关性会导致接近相同渐近线的速度变慢。在密度独立模型中,如果不同地点之间的预期差异相对于地点内的变异足够大,那么适合度的时间相关性增加会不利于扩散增加;但在这种情况下,密度依赖性会产生 somewhat different result(此处原文有误,应改为somewhat different result,意为“有些不同的结果”):扩散者在承载能力低的地点或没有非扩散者的地点有避难所。最后,最佳的中间扩散尺度可能出现在预期适合度差异随着与亲本地点距离的增加而增加的地方,例如在一个梯度中,但在给定地点的环境变异相对于相邻地点预期适合度差异较大的地方。
上述结果被扩展用于以下预测。当生命周期抗性阶段较长的寿命减少了生存和繁殖力的时间变异时,世代时间增加应该会降低在原本有利于扩散的环境中分散后代的好处,并且可能增加或减少在不利于扩散的环境中分散后代的成本。我们推测,如果不同生存和繁殖力的大规模模式类似于我们用天气数据研究的物理环境中的变异,那么后代大规模扩散(50公里或更远)应该几乎没有短期优势,因为预期差异会增加,并且很少会随着地点之间距离的增加而减少。
这表明底栖无脊椎动物的摄食幼虫及其伴随的长浮游期,从扩散规模增加中几乎得不到任何好处,因此浮游营养型相对于卵黄营养型的优势必然在于其他生活史方面,例如产生更多较小卵的能力。