Silvestre Mariola, Aguilar Arantxa, Seoane Javier, Azcárate Francisco M
Terrestrial Ecology Group, Department of Ecology, Universidad Autónoma de Madrid, Madrid, Spain.
Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM), Universidad Autónoma de Madrid, Madrid, Spain.
Oecologia. 2019 Mar;189(3):781-793. doi: 10.1007/s00442-019-04356-6. Epub 2019 Feb 24.
Elevational gradients are a powerful tool to investigate how abiotic factors affect ecosystems and to predict the possible consequences of climate change. Here, we investigated the assemblage-level responses of seed size, ant worker size, and rates of seed removal by ants along a 1700 m elevational gradient in Mediterranean grasslands of central Spain, taking into account abiotic factors and interactions between biotic variables. Our results showed that both seed size and ant size decreased with elevation. Structural equation models linking abiotic factors and biotic variables were built to describe these patterns. Two equally plausible models were selected, both based on temperature. In the first model, temperature directly affected seed size and granivorous ant size, and indirectly affected ant size (of both granivorous and non-granivorous species) through a bottom-up pathway. The second model included the direct effects of temperature on ant size and granivorous ant size, and indirect effects on seed size through a top-down pathway. In this model, the link between granivorous ant size and seed size was positive. Seed removal rates decreased with elevation and seed size, with smaller seeds being preferred with increasing elevation. Taken together, our results indicate that the observed patterns of ant size and seed size are ultimately controlled by abiotic factors, although the system is more satisfactorily explained if seed-ant interactions are incorporated into the models. We expect that climate change will have strong effects on this system, including mismatches between consumers and producers potentially altering the interspecific relationships among ants and plants.
海拔梯度是研究非生物因素如何影响生态系统以及预测气候变化可能后果的有力工具。在此,我们研究了西班牙中部地中海草原沿1700米海拔梯度上种子大小、蚂蚁工蚁大小以及蚂蚁种子移除率在群落水平上的响应,同时考虑了非生物因素以及生物变量之间的相互作用。我们的结果表明,种子大小和蚂蚁大小均随海拔升高而减小。构建了连接非生物因素和生物变量的结构方程模型来描述这些模式。基于温度选择了两个同样合理的模型。在第一个模型中,温度直接影响种子大小和食种子蚂蚁的大小,并通过自下而上的途径间接影响蚂蚁大小(包括食种子和非食种子物种)。第二个模型包括温度对蚂蚁大小和食种子蚂蚁大小的直接影响,以及通过自上而下的途径对种子大小的间接影响。在这个模型中,食种子蚂蚁大小与种子大小之间的联系是正相关的。种子移除率随海拔和种子大小的增加而降低,海拔升高时较小的种子更受青睐。综合来看,我们的结果表明,尽管将种子 - 蚂蚁相互作用纳入模型能更令人满意地解释该系统,但观察到的蚂蚁大小和种子大小模式最终受非生物因素控制。我们预计气候变化将对该系统产生强烈影响,包括消费者与生产者之间的不匹配,这可能改变蚂蚁与植物之间的种间关系。