...
首页> 外文期刊>Palaeogeography, Palaeoclimatology, Palaeoecology: An International Journal for the Geo-Sciences >Can ancient insect exoskeleton delta C-13 values be used to infer past vegetation types?
【24h】

Can ancient insect exoskeleton delta C-13 values be used to infer past vegetation types?

机译:古代昆虫外骨骼δC-13值可用于推断植被类型吗?

获取原文
获取原文并翻译 | 示例

摘要

Insects encode proxy environmental information about regional vegetation structure in the stable carbon isotope (delta C-13) composition of their tissues. However, uncertainty lies in the exact relationship between "community" insect delta C-13 values and the overall structure of the vegetation from which the insects come, specifically the cover of C-3 and C-4 plants. This study aimed to determine this relationship using modern samples of insects collected from sites ranging from rain forest (high C-3 cover) to savanna (high C-4 cover) across an environmental gradient in tropical Australia. Insect delta C-13 values were strongly related to modern variations in C-3 and C-4 cover, although difficulties arose when estimating the vegetation structure of sites with low vegetation cover in arid central Australia. We further found the best models for predicting vegetation structure also included additional constraints provided by variation in precipitation. Overall, our results confirm that ancient insect delta C-13 values, such as those recovered from insectivorous bat and bird guano deposits, can indeed provide a robust palaeoenvironmental proxy for inferring the trajectory of past vegetation change in the tropics.
机译:昆虫编码有关稳定碳同位素(Delta C-13)组成的区域植被结构的代理环境信息。然而,不确定性在于“社区”昆虫δC-13值与昆虫的植被的整体结构,特别是C-3和C-4植物之间的确切关系。本研究旨在使用从从雨林(高C-3覆盖)的现代昆虫的现代样品来确定这种关系,从雨林(高C-3覆盖)到热带澳大利亚环境梯度的遗迹(高C-4封面)。昆虫δC-13值与C-3和C-4封面的现代变化强烈相关,尽管在澳大利亚干旱地区的低植被覆盖的植物植被结构时出现困难。我们进一步发现,预测植被结构的最佳模型也包括通过沉淀变异提供的额外约束。总体而言,我们的结果证实,古代昆虫三角洲C-13价值观,如从食虫蝙蝠和鸟鸟山矿床中恢复的那些,确实可以提供强大的古环境代理,以推断出热带地区过去植被变化的轨迹。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号