Suppr超能文献

在国家尺度上,锌和铜对河流大型无脊椎动物丰富度具有最大的相对重要性。

Zinc and Copper Have the Greatest Relative Importance for River Macroinvertebrate Richness at a National Scale.

作者信息

Johnson Andrew C, Sadykova Dinara, Qu Yueming, Keller Virginie D J, Bachiller-Jareno Nuria, Jürgens Monika D, Eastman Michael, Edwards François, Rizzo Clarissa, Scarlett Peter M, Sumpter John P

机构信息

UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, U.K.

University of Exeter, Mathematics and Statistics, Harrison Building, Streatham Campus, North Park Road, Exeter EX4 4QF, U.K.

出版信息

Environ Sci Technol. 2025 Mar 4;59(8):4068-4079. doi: 10.1021/acs.est.4c06849. Epub 2025 Feb 17.

Abstract

It is important to discover what change led to the improvement in European macroinvertebrate biodiversity in the period from 1990-2000s and what prevents further desirable gains from taking place today. A 30-year data set from 1,457 macroinvertebrate monitoring sites spread across England, with 65,032 discrete observations was combined with 41 chemical, physical, habitat, and geographic variables. This data set was analyzed using generalized linear mixed-effect models and generalized additive mixed models. To include all combinations of the variables required to address each question, required over 20,000 model runs. It was found that no variables were more consistently and strongly associated with the overall family richness than Zn and Cu. Zn and Cu led both for the era of large gains in richness up to 2005 and also in the later period of 2006-2018 when few further gains were made.

摘要

重要的是要弄清楚在1990年至21世纪初这段时间里,是什么变化导致了欧洲大型无脊椎动物生物多样性的改善,以及是什么阻碍了如今进一步实现理想的增长。来自英格兰各地1457个大型无脊椎动物监测点的30年数据集,包含65032条离散观测数据,与41个化学、物理、栖息地和地理变量相结合。使用广义线性混合效应模型和广义相加混合模型对该数据集进行了分析。为了纳入解决每个问题所需变量的所有组合,需要进行超过20000次模型运行。研究发现,没有任何变量比锌和铜更始终如一地、强烈地与整个科的丰富度相关。在2005年之前丰富度大幅增加的时期以及在2006 - 2018年后期几乎没有进一步增加的时期,锌和铜都起到了主导作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5965/11883809/d0328832baeb/es4c06849_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验