Revilla Tomás A
Biology Center AS CR, Institute of Entomology, Branišovská 31, 370 05 České Budějovice, Czech Republic.
J Theor Biol. 2015 Aug 7;378:39-46. doi: 10.1016/j.jtbi.2015.04.012. Epub 2015 Apr 29.
Many mutualisms involve inter-specific resource exchanges, making consumer-resource approaches ideal for studying their dynamics. Also in many cases these resources are short lived (e.g. flowers) compared with the population dynamics of their producers and consumers (e.g. plants and insects), which justifies a separation of time scales. As a result, we can derive the numerical response of one species with respect to the abundance of another. For resource consumers, the numerical responses can account for intra-specific competition for mutualistic resources (e.g. nectar), thus connecting competition theory and mutualism mechanistically. For species that depend on services (e.g. pollination, seed dispersal), the numerical responses display saturation of benefits, with service handling times related with rates of resource production (e.g. flower turnover time). In both scenarios, competition and saturation have the same underlying cause, which is that resource production occurs at a finite velocity per individual, but their consumption tracks the much faster rates of population growth characterizing mutualisms. The resulting models display all the basic features seen in many models of facultative and obligate mutualisms, and they can be generalized from species pairs to larger communities.
许多互利共生关系涉及种间资源交换,这使得消费者 - 资源方法成为研究其动态的理想选择。此外,在许多情况下,与它们的生产者和消费者(如植物和昆虫)的种群动态相比,这些资源寿命较短(如花朵),这证明了时间尺度分离的合理性。因此,我们可以推导出一个物种相对于另一个物种丰度的数值响应。对于资源消费者来说,数值响应可以解释对互利共生资源(如花蜜)的种内竞争,从而将竞争理论和互利共生关系从机制上联系起来。对于依赖服务(如授粉、种子传播)的物种,数值响应显示出利益的饱和,服务处理时间与资源生产速率(如花的周转时间)相关。在这两种情况下,竞争和饱和有相同的根本原因,即每个个体的资源生产速度是有限的,但它们的消耗追踪着互利共生关系中更快的种群增长速度。由此产生的模型展示了许多兼性和专性互利共生模型中看到的所有基本特征,并且可以从物种对推广到更大的群落。