Aquatic–terrestrial linkages as complex systems: Insights and advances from network models
Aquatic–terrestrial linkages as complex systems: Insights and advances from network models
复制标题
作为复杂系统的水陆联系:网络模型的见解和进展
DOI:
10.1086/706071
复制
发表时间:
2019
影响因子:
1.8
通讯作者:
David W. P. Manning
中科院分区:
文献类型:
--
作者:
S. Mažeika P. Sullivan;David W. P. Manning
Ecosystems at the land–water interface are linked through networks of species interactions and are excellent examples of complex adaptive systems. Here, we discuss how ecological networks can enhance current understanding of aquatic–terrestrial linkages by describing and quantifying the complexity of aquatic–terrestrial food webs. Aquatic–terrestrial networks demonstrate links across biological levels of organization, integrate both direct and indirect interactions, and can be used to predict ecosystem responses to perturbations. We provide 2 examples of river–riparian ecological networks across urban-rural land-use gradients to show how network approaches can be used for conservation, management, and monitoring. For instance, when we simulated the removal of sensitive emerging insect taxa, we observed the greatest change in compartmentalization, or in this case, the degree to which the network contained discrete aquatic and terrestrial sub-webs, in forested and agricultural stream reaches compared with urban reaches. Similarly, we illustrate how shifts in diets of insectivorous fishes (i.e., node behavior) from both terrestrial and aquatic prey to either terrestrial or aquatic insect prey can result in reduced frequency of trophic interactions (complexity) and fewer interacting taxa (compartmentalization). Both examples point to potential signs of destabilizing ecosystems or regimes shifts (i.e., persistent changes in the structure of function of river–riparian ecosystems). Thus, these network approaches can help identify environmental problems and inform their management solutions. However, constructing aquatic–terrestrial networks and simulations requires high-resolution monitoring data from both aquatic and terrestrial habitats.