Invasions Toolkit: Current Methods for Tracking the Spread and Impact of Invasive Species

摘要: Abstract Biological invasions exert multiple pervasive effects on ecosystems, potentially disrupting species interactions and global ecological processes. Our ability to successfully predict manage the ecosystem-level impacts of biological is strongly dependent our capacity empirically characterize complex their spatiotemporal dynamics. In this chapter, we argue that comprehensive integration complementary tools within explicit context networks essential for providing mechanistic insight into invasion processes impact across organizational levels. We provide an overview traditional (stable isotopes, populations genetics) emerging (metabarcoding, citizen science) techniques methods, practical implementation in invasions. also present several currently available models machine-learning approaches could be used predicting novel or undocumented interactions, thus allowing a more robust cost-effective forecast network ecosystem stability. Finally, discuss importance methodological advancements emergence scientific societal challenges investigating local histories with skill sets.