Suppr超能文献

集水区土地利用情况可预测小型河口的底栖植被。

Catchment land use predicts benthic vegetation in small estuaries.

作者信息

Cook Perran L M, Warry Fiona Y, Reich Paul, Mac Nally Ralph, Woodland Ryan J

机构信息

Water Studies Center, School of Chemistry, Monash University, Australia.

Department of Environment, Land, Water and Planning, Melbourne, Victoria, Australia.

出版信息

PeerJ. 2018 Feb 14;6:e4378. doi: 10.7717/peerj.4378. eCollection 2018.

Abstract

Many estuaries are becoming increasingly eutrophic from human activities within their catchments. Nutrient loads often are used to assess risk of eutrophication to estuaries, but such data are expensive and time consuming to obtain. We compared the percent of fertilized land within a catchment, dissolved inorganic nitrogen loads, catchment to estuary area ratio and flushing time as predictors of the proportion of macroalgae to total vegetation within 14 estuaries in south-eastern Australia. The percent of fertilized land within the catchment was the best predictor of the proportion of macroalgae within the estuaries studied. There was a transition to a dominance of macroalgae once the proportion of fertilized land in the catchment exceeded 24%, highlighting the sensitivity of estuaries to catchment land use.

摘要

许多河口因集水区内的人类活动而日益富营养化。营养负荷常被用于评估河口富营养化风险,但获取此类数据成本高昂且耗时。我们比较了集水区内施肥土地的比例、溶解无机氮负荷、集水区与河口面积比以及冲刷时间,将其作为澳大利亚东南部14个河口大型藻类占总植被比例的预测指标。集水区内施肥土地的比例是所研究河口大型藻类比例的最佳预测指标。一旦集水区内施肥土地的比例超过24%,就会出现向大型藻类占主导地位的转变,这突出了河口对集水区土地利用的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4a1/5816580/2318dd66afe0/peerj-06-4378-g001.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