School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.
School of Engineering, University of Warwick, Coventry, UK.
Nat Ecol Evol. 2019 Feb;3(2):260-264. doi: 10.1038/s41559-018-0757-2. Epub 2018 Dec 31.
Sustainable management of ecosystems and growth in agricultural productivity is at the heart of the United Nations' Sustainable Development Goals for 2030. New management regimes could revolutionize agricultural production, but require an evaluation of the risks and opportunities. Replacing existing conventional weed management with genetically modified, herbicide-tolerant (GMHT) crops, for example, might reduce herbicide applications and increase crop yields, but remains controversial owing to concerns about potential impacts on biodiversity. Until now, such new regimes have been assessed at the species or assemblage level, whereas higher-level ecological network effects remain largely unconsidered. Here, we conduct a large-scale network analysis of invertebrate communities across 502 UK farm sites to GMHT management in different crop types. We find that network-level properties were overwhelmingly shaped by crop type, whereas network structure and robustness were apparently unaltered by GMHT management. This suggests that taxon-specific effects reported previously did not escalate into higher-level systemic structural change in the wider agricultural ecosystem. Our study highlights current limitations of autecological assessments of effect in agriculture in which species interactions and potential compensatory effects are overlooked. We advocate adopting the more holistic system-level evaluations that we explore here, which complement existing assessments for meeting our future agricultural needs.
可持续的生态系统管理和农业生产力的增长是联合国 2030 年可持续发展目标的核心。新的管理机制可能会彻底改变农业生产,但需要对风险和机遇进行评估。例如,用具有耐除草剂特性的基因改造作物(GMHT)取代现有的常规杂草管理,可能会减少除草剂的使用并提高作物产量,但由于担心对生物多样性的潜在影响,这一做法仍存在争议。到目前为止,这些新的管理机制仅在物种或集合层面进行了评估,而更高层次的生态网络效应在很大程度上仍未被考虑。在这里,我们对英国 502 个农场的昆虫群落进行了大规模的网络分析,以研究不同作物类型中 GMHT 管理的影响。我们发现,网络层面的性质主要受作物类型的影响,而 GMHT 管理显然没有改变网络结构和稳健性。这表明,以前报道的特定分类群的影响并没有在更广泛的农业生态系统中升级为更高层次的系统性结构变化。我们的研究强调了目前农业中对效应的自生态评估的局限性,其中忽略了物种相互作用和潜在的补偿效应。我们主张采用我们在这里探讨的更全面的系统层面评估,以补充现有的评估,满足我们未来的农业需求。