Lake Chlorophyll-a Linked to Upstream Nutrients across the Conterminous United States

IF 8.9 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Matthew Dietrich*, Heather E. Golden, Jay R. Christensen, Charles R. Lane and Michael Dumelle, 
{"title":"Lake Chlorophyll-a Linked to Upstream Nutrients across the Conterminous United States","authors":"Matthew Dietrich*,&nbsp;Heather E. Golden,&nbsp;Jay R. Christensen,&nbsp;Charles R. Lane and Michael Dumelle,&nbsp;","doi":"10.1021/acs.estlett.4c0093810.1021/acs.estlett.4c00938","DOIUrl":null,"url":null,"abstract":"<p >Chlorophyll-a (Chl-a) is a commonly used proxy for algal biomass within surface waters, which can be indicative of harmful algal blooms. Excess nutrients, such as nitrogen or phosphorus, promote Chl-a production, often leading to eutrophication. However, little research exists on river nutrients-to-downstream lake Chl-a linkages at large watershed scales and across disparate climatic and physiographic regions. We found a significant positive relationship between measured total nitrogen (TN) and total phosphorus (TP) concentrations in upstream rivers and Chl-a concentrations in downstream lakes at the watershed scale (average area = 99.8 km<sup>2</sup> [35.8–628.6 km<sup>2</sup>], <i>n</i> = 254 watersheds) throughout the conterminous United States (CONUS). Additionally, through spatial logistic regression models, we demonstrate that a small number of explanatory variables (2–3 per model) can accurately predict (77%–86% accuracy, AUC = 0.83–0.91) classifications of high or low riverine TN, TP, or lake Chl-a concentrations throughout the CONUS at the watershed scale. The predictive variables included vegetation type, runoff, tile drainage, temperature, and nitrogen inputs. This work supports the hypothesis that rivers supply nutrients that enhance Chl-a concentrations in downstream lakes and demonstrates the power of parsimonious models combined with spatial autocorrelation to accurately predict classifications of nutrient concentrations and Chl-a across the CONUS.</p>","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"11 12","pages":"1406–1412 1406–1412"},"PeriodicalIF":8.9000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science & Technology Letters Environ.","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.estlett.4c00938","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Chlorophyll-a (Chl-a) is a commonly used proxy for algal biomass within surface waters, which can be indicative of harmful algal blooms. Excess nutrients, such as nitrogen or phosphorus, promote Chl-a production, often leading to eutrophication. However, little research exists on river nutrients-to-downstream lake Chl-a linkages at large watershed scales and across disparate climatic and physiographic regions. We found a significant positive relationship between measured total nitrogen (TN) and total phosphorus (TP) concentrations in upstream rivers and Chl-a concentrations in downstream lakes at the watershed scale (average area = 99.8 km2 [35.8–628.6 km2], n = 254 watersheds) throughout the conterminous United States (CONUS). Additionally, through spatial logistic regression models, we demonstrate that a small number of explanatory variables (2–3 per model) can accurately predict (77%–86% accuracy, AUC = 0.83–0.91) classifications of high or low riverine TN, TP, or lake Chl-a concentrations throughout the CONUS at the watershed scale. The predictive variables included vegetation type, runoff, tile drainage, temperature, and nitrogen inputs. This work supports the hypothesis that rivers supply nutrients that enhance Chl-a concentrations in downstream lakes and demonstrates the power of parsimonious models combined with spatial autocorrelation to accurately predict classifications of nutrient concentrations and Chl-a across the CONUS.

Abstract Image

湖泊叶绿素-a与美国相邻地区上游营养物质的联系
叶绿素-a (Chl-a)是地表水藻类生物量的常用代用物,它可以指示有害藻华的发生。过量的营养物质,如氮或磷,促进Chl-a的产生,经常导致富营养化。然而,在大流域尺度和不同的气候和地理区域,河流营养物质与下游湖泊Chl-a的联系研究很少。我们发现,在整个美国(CONUS)的流域尺度上(平均面积为99.8 km2 [35.8-628.6 km2], n = 254个流域),上游河流的总氮(TN)和总磷(TP)浓度与下游湖泊的Chl-a浓度之间存在显著的正相关。此外,通过空间逻辑回归模型,我们证明了在流域尺度上,少数解释变量(每个模型2-3个)可以准确预测整个CONUS流域河流TN、TP或湖泊Chl-a浓度的高低分类(准确率为77%-86%,AUC = 0.83-0.91)。预测变量包括植被类型、径流、排水、温度和氮输入。这项工作支持了河流提供的营养物质会提高下游湖泊中氯-a浓度的假设,并证明了简约模型结合空间自相关的能力,可以准确预测整个CONUS的营养物质浓度和氯-a的分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Environmental Science & Technology Letters Environ.
Environmental Science & Technology Letters Environ. ENGINEERING, ENVIRONMENTALENVIRONMENTAL SC-ENVIRONMENTAL SCIENCES
CiteScore
17.90
自引率
3.70%
发文量
163
期刊介绍: Environmental Science & Technology Letters serves as an international forum for brief communications on experimental or theoretical results of exceptional timeliness in all aspects of environmental science, both pure and applied. Published as soon as accepted, these communications are summarized in monthly issues. Additionally, the journal features short reviews on emerging topics in environmental science and technology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信