很多考生会抱怨托福阅读时间不够，还没完全理解文章就做题，正确率不高。其实这是我们对托福阅读素材不熟悉造成的，下面小编整理了一下托福阅读考试最新的素材，希望能帮助大家更加快速高效的备考托福。

　　托福阅读素材：通过化石了解昆虫

　　内容回忆：

　　本文共 4 段。

　　第 1 段讲了昆虫占据了三分之一的生物，但是对于其了解甚少。因为样本较少，且分布的十分零星，目前主要化石的方式是 amber, 就是一种树枝在溢出之后覆盖在昆虫身上的方式，得以保留其完整的身形，形成时间可能很长，并且由河流等带到较为遥远的地方。

　　第二段说另外一种化石的方式是沉淀物的方式，但是沉淀物一般只能够保留部分的肢体。 不管哪种方式，都可以有助于了解昆虫生活时期环境的特征。

　　第三段将昆虫化石分为两类，一类是无翼的更为原始的 A ， 一类是有翼的 P. 最早发现的 H-R 的昆虫可以提示当时环境的氧气浓度更高，但是因为已经是比较advanced forms， 所以可能不是最早的昆虫形态的化石。因为发现的翅翼已经形态比较完整，所以也不能够提示飞行的起源。

　　所考词汇

　　1. routine = common

　　2. sufficiently = enough

　　3. Inhabitant = resident

　　参考阅读：

　　Fossil insects provide a unique deep-time record of ecological and evolutionary response to past environmental changes and therefore are invaluable for understanding the impacts of climate change on the current biodiversity crisis. Given current models of future climate change and the important role that insects play in human society (biodiversity, pests, pollination, vectors of disease) the ability to access these data and make predictions about future insect populations becomes even more urgent. The Fossil Insect Collaborative will make available all the major collections of fossil insect specimens in the United States by creating electronic specimen records consisting of digital images and associated collection data.

　　The digitized fossil insect collections will be made broadly accessible to the research community, K-16 education, government and industry, the general public, and the media through the project website and a central site integrating all the paleobiological Thematic Collections Networks called iDigPaleo. Mobile apps and activities that allow a wide variety of users to experience and interact directly with the collections data will be developed. This award is made as part of the National Resource for Digitization of Biological Collections through the Advancing Digitization of Biological Collections program and all data resulting from this award will be available through the national resource (iDigBio.org).

　　更多托福阅读考试信息

　　了解环球教育托福课程