While ecolinguistics studies interactions between language and the natural world, the theme of genetic modification highlights challenges in developing frameworks for the analysis of ecological discourses. Given the ability of humans to alter life at the molecular level, one could argue that frameworks of anti-essentialism and discursive constructivism have expanded from the cultural and social realms (the traditional focus of discourse analysis) to encompass the natural world. This paper uses multilevel analysis to draw out various dimensions of debates related to genetically modified (GM) seed. Analysis is applied to a web-based corpus using both computational, quantitative methods as well as qualitative critical and interpretive approaches. Keyword analysis, concordance lines, and collocation are used to explore whether sides of the debate are reflected in the semantic structure of the text. Implicature and conceptual blending point to differences at the cognitive level. The analyses give data-based evidence for differing epistemologies, worldviews, and situated contexts that may underlie misunderstandings. Results suggest the multilevel methodology can be an effective way to integrate ecological context into discourse analyses. Findings also lead to a discussion of conceptual frameworks for ecolinguistic discourse analysis.

虽然生态语言学研究语言与自然世界之间的相互作用，但基因改造的主题突出了开发生态话语分析框架的挑战。鉴于人类在分子水平上改变生活的能力，人们可以争辩说，反本质主义和话语建构主义的框架已经从文化和社会领域（话语分析的传统焦点）扩展到了自然世界。本文使用多层次分析来提取与转基因 (GM) 种子相关的争论的各个维度。使用计算、定量方法以及定性批判性和解释性方法将分析应用于基于网络的语料库。关键字分析，一致性线，和搭配用于探讨争论的双方是否反映在文本的语义结构中。含义和概念的混合指向认知层面的差异。这些分析为不同的认识论、世界观和可能导致误解的情境提供了基于数据的证据。结果表明，多层次方法可以是将生态环境整合到话语分析中的有效方式。调查结果还引发了对生态语言学话语分析的概念框架的讨论。结果表明，多层次方法可以是将生态环境整合到话语分析中的有效方式。调查结果还引发了对生态语言学话语分析的概念框架的讨论。结果表明，多层次方法可以是将生态环境整合到话语分析中的有效方式。调查结果还引发了对生态语言学话语分析的概念框架的讨论。