Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data
Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land‐use change. Historically, lake and landscape characteristics have been used as predictor...
Uloženo v:
| Vydáno v: | Limnology and oceanography letters Ročník 5; číslo 2; s. 228 - 235 |
|---|---|
| Hlavní autoři: | , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Hoboken, USA
John Wiley & Sons, Inc
01.04.2020
Wiley |
| Témata: | |
| ISSN: | 2378-2242, 2378-2242 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land‐use change. Historically, lake and landscape characteristics have been used as predictor variables in regression models to generate nutrient predictions, but often with significant uncertainty. An alternative approach to improve predictions is to leverage the observed relationship between water clarity and nutrients, which is possible because water clarity is more commonly measured than lake nutrients. We used a joint‐nutrient model that conditioned predictions of total phosphorus, nitrogen, and chlorophyll a on observed water clarity. Our results demonstrated substantial reductions (8–27%; median = 23%) in prediction error when conditioning on water clarity. These models will provide new opportunities for predicting nutrient concentrations of unsampled lakes across broad spatial scales with reduced uncertainty. |
|---|---|
| AbstractList | Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land‐use change. Historically, lake and landscape characteristics have been used as predictor variables in regression models to generate nutrient predictions, but often with significant uncertainty. An alternative approach to improve predictions is to leverage the observed relationship between water clarity and nutrients, which is possible because water clarity is more commonly measured than lake nutrients. We used a joint‐nutrient model that conditioned predictions of total phosphorus, nitrogen, and chlorophyll
a
on observed water clarity. Our results demonstrated substantial reductions (8–27%; median = 23%) in prediction error when conditioning on water clarity. These models will provide new opportunities for predicting nutrient concentrations of unsampled lakes across broad spatial scales with reduced uncertainty. Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land‐use change. Historically, lake and landscape characteristics have been used as predictor variables in regression models to generate nutrient predictions, but often with significant uncertainty. An alternative approach to improve predictions is to leverage the observed relationship between water clarity and nutrients, which is possible because water clarity is more commonly measured than lake nutrients. We used a joint‐nutrient model that conditioned predictions of total phosphorus, nitrogen, and chlorophyll a on observed water clarity. Our results demonstrated substantial reductions (8–27%; median = 23%) in prediction error when conditioning on water clarity. These models will provide new opportunities for predicting nutrient concentrations of unsampled lakes across broad spatial scales with reduced uncertainty. Abstract Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land‐use change. Historically, lake and landscape characteristics have been used as predictor variables in regression models to generate nutrient predictions, but often with significant uncertainty. An alternative approach to improve predictions is to leverage the observed relationship between water clarity and nutrients, which is possible because water clarity is more commonly measured than lake nutrients. We used a joint‐nutrient model that conditioned predictions of total phosphorus, nitrogen, and chlorophyll a on observed water clarity. Our results demonstrated substantial reductions (8–27%; median = 23%) in prediction error when conditioning on water clarity. These models will provide new opportunities for predicting nutrient concentrations of unsampled lakes across broad spatial scales with reduced uncertainty. |
| Author | Cheruvelil, Kendra S. Liu, Boyang Bartley, Meridith L. Filstrup, Christopher T. Webster, Katherine King, Katelyn B. S. Schliep, Erin M. Wikle, Nathan B. McCullough, Ian Stachelek, Joseph Lapierre, Jean Francois Zhou, Jiayu Wagner, Tyler Soranno, Patricia A. Wang, Qi Lottig, Noah R. Tan, Pang‐Ning Hanks, Ephraim M. |
| Author_xml | – sequence: 1 givenname: Tyler orcidid: 0000-0003-1726-016X surname: Wagner fullname: Wagner, Tyler email: txw19@psu.edu organization: Pennsylvania State University – sequence: 2 givenname: Noah R. surname: Lottig fullname: Lottig, Noah R. organization: University of Wisconsin‐Madison – sequence: 3 givenname: Meridith L. surname: Bartley fullname: Bartley, Meridith L. organization: The Pennsylvania State University – sequence: 4 givenname: Ephraim M. surname: Hanks fullname: Hanks, Ephraim M. organization: The Pennsylvania State University – sequence: 5 givenname: Erin M. surname: Schliep fullname: Schliep, Erin M. organization: University of Missouri – sequence: 6 givenname: Nathan B. surname: Wikle fullname: Wikle, Nathan B. organization: The Pennsylvania State University – sequence: 7 givenname: Katelyn B. S. surname: King fullname: King, Katelyn B. S. organization: Michigan State University – sequence: 8 givenname: Ian orcidid: 0000-0002-6832-674X surname: McCullough fullname: McCullough, Ian organization: Michigan State University – sequence: 9 givenname: Joseph orcidid: 0000-0002-5924-2464 surname: Stachelek fullname: Stachelek, Joseph organization: Michigan State University – sequence: 10 givenname: Kendra S. surname: Cheruvelil fullname: Cheruvelil, Kendra S. organization: Michigan State University – sequence: 11 givenname: Christopher T. surname: Filstrup fullname: Filstrup, Christopher T. organization: Natural Resources Research Institute, University of Minnesota Duluth – sequence: 12 givenname: Jean Francois orcidid: 0000-0001-5862-7955 surname: Lapierre fullname: Lapierre, Jean Francois organization: Universite de Montreal – sequence: 13 givenname: Boyang surname: Liu fullname: Liu, Boyang organization: Michigan State University – sequence: 14 givenname: Patricia A. orcidid: 0000-0003-1668-9271 surname: Soranno fullname: Soranno, Patricia A. organization: Michigan State University – sequence: 15 givenname: Pang‐Ning surname: Tan fullname: Tan, Pang‐Ning organization: Michigan State University – sequence: 16 givenname: Qi surname: Wang fullname: Wang, Qi organization: Michigan State University – sequence: 17 givenname: Katherine surname: Webster fullname: Webster, Katherine organization: Michigan State University – sequence: 18 givenname: Jiayu surname: Zhou fullname: Zhou, Jiayu organization: Michigan State University |
| BookMark | eNp9kUtr3DAUhU1JoWmaTX6BoLvCJHqNbS1L6GNgIJt2La6lq4mmqjSV5Ab_-9hxWkopXelyOOeTdM_r5iymiE1zxeg1o5TfhBT4PDEhXzTnXHT9hnPJz_6YXzWXpRwppaxl3Vb0581hF01GKD4eCBgzZjATSY4E-IYkjjV7jJWcMlpvqk-xEB9JvU9jgWjLL2chw0QC_sQMh4X0ABUzMQGyrxOxUOFN89JBKHj5fF40Xz9--HL7ebO_-7S7fb_fGEmF3PQAW6uEbbdG8I6p3iHFdhioQSHbWd5KOosDcjd_1JhhcFL2_dAhSuWoEhfNbuXaBEd9yv475Ekn8PpJSPmgIVdvAmomLeeWd0ZxIV1vFXVKSqV41_aMGjGz3q6sU04_RixVH9OY4_x8PW-05a1s-eJ6t7pMTqVkdL9vZVQvveilF_3Uy2ymf5mNr7Astmbw4d8RtkYefMDpP3C9v9vzNfMIc-WhCA |
| CitedBy_id | crossref_primary_10_3390_w15152791 crossref_primary_10_1002_eap_2123 crossref_primary_10_1002_lob_10406 crossref_primary_10_1038_s41597_025_05600_w crossref_primary_10_1016_j_watres_2024_121493 crossref_primary_10_1016_j_algal_2025_104026 crossref_primary_10_3390_rs14092070 crossref_primary_10_3390_ijerph192316079 crossref_primary_10_1016_j_jag_2022_103037 crossref_primary_10_1111_1752_1688_13243 crossref_primary_10_1029_2022EF003013 |
| Cites_doi | 10.1139/f84-059 10.1111/j.0030-1299.2004.12869.x 10.1080/07438140209353924 10.32614/CRAN.package.LAGOSNE 10.1139/f87-094 10.1007/s10021-007-9055-6 10.4319/lo.1977.22.2.0361 10.1890/02-3114 10.1002/lno.10944 10.1021/es801217q 10.1098/rspb.2013.1452 10.1016/j.tree.2008.11.009 10.1093/gigascience/gix101 10.1139/f01-143 10.1371/journal.pone.0164592 10.1016/j.watres.2011.12.018 10.1890/14-0935.1 10.1098/rspb.2012.1032 10.1111/j.1365-2427.2011.02621.x 10.1016/j.rse.2016.02.033 10.1016/j.watres.2011.08.002 10.1002/fee.2128 10.1002/eap.1545 10.1111/jawr.12138 10.1002/eap.1471 |
| ContentType | Journal Article |
| Copyright | 2019 The Authors. published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography. 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2019 The Authors. published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography. – notice: 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 24P AAYXX CITATION ABUWG AEUYN AFKRA AZQEC BENPR BHPHI BKSAR CCPQU DWQXO HCIFZ PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS DOA |
| DOI | 10.1002/lol2.10134 |
| DatabaseName | Wiley Online Library Open Access CrossRef ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central Natural Science Collection Earth, Atmospheric & Aquatic Science Collection ProQuest One ProQuest Central SciTech Premium Collection Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China Earth, Atmospheric & Aquatic Science Collection ProQuest Central ProQuest One Sustainability ProQuest One Academic UKI Edition Natural Science Collection ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: PIMPY name: ProQuest Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Oceanography |
| EISSN | 2378-2242 |
| EndPage | 235 |
| ExternalDocumentID | oai_doaj_org_article_14d22d27c9234f8d90f94499276810c3 10_1002_lol2_10134 LOL210134 |
| Genre | letter |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GrantInformation_xml | – fundername: National Science Foundation funderid: EF‐1638679; EF‐1638554; EF‐1638539; EF‐1638550 |
| GroupedDBID | 0R~ 1OC 24P 8CJ 8FE 8FH AAHHS AAZKR ACCFJ ACCMX ACXQS ADBBV ADKYN ADZMN AEEZP AEQDE AEUYN AFKRA AIWBW AJBDE ALMA_UNASSIGNED_HOLDINGS ALUQN AVUZU BCNDV BENPR BHPHI BKSAR CCPQU D1J EBS EJD FRJ GROUPED_DOAJ HCIFZ IAO IGS ITC KQ8 OK1 PCBAR PIMPY PROAC WIN AAMMB AAYXX AEFGJ AFFHD AGXDD AIDQK AIDYY CITATION M~E PHGZM PHGZT ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c4034-8aa5d93d65c327198fe0e6bb0ce346d6554098fbe2f101ccbbf4488b7ee49f093 |
| IEDL.DBID | BENPR |
| ISICitedReferencesCount | 10 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000504695900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2378-2242 |
| IngestDate | Fri Oct 03 12:53:04 EDT 2025 Fri Jul 25 07:53:13 EDT 2025 Tue Nov 18 22:38:38 EST 2025 Sat Nov 29 03:45:38 EST 2025 Wed Jan 22 16:34:48 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| License | Attribution |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4034-8aa5d93d65c327198fe0e6bb0ce346d6554098fbe2f101ccbbf4488b7ee49f093 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-6832-674X 0000-0003-1726-016X 0000-0003-1668-9271 0000-0002-5924-2464 0000-0001-5862-7955 |
| OpenAccessLink | https://www.proquest.com/docview/2376264623?pq-origsite=%requestingapplication% |
| PQID | 2376264623 |
| PQPubID | 4370299 |
| PageCount | 8 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_14d22d27c9234f8d90f94499276810c3 proquest_journals_2376264623 crossref_primary_10_1002_lol2_10134 crossref_citationtrail_10_1002_lol2_10134 wiley_primary_10_1002_lol2_10134_LOL210134 |
| PublicationCentury | 2000 |
| PublicationDate | April 2020 2020-04-00 20200401 2020-04-01 |
| PublicationDateYYYYMMDD | 2020-04-01 |
| PublicationDate_xml | – month: 04 year: 2020 text: April 2020 |
| PublicationDecade | 2020 |
| PublicationPlace | Hoboken, USA |
| PublicationPlace_xml | – name: Hoboken, USA – name: Hoboken |
| PublicationTitle | Limnology and oceanography letters |
| PublicationYear | 2020 |
| Publisher | John Wiley & Sons, Inc Wiley |
| Publisher_xml | – name: John Wiley & Sons, Inc – name: Wiley |
| References | 2017; 6 1984; 41 2009; 24 2002; 18 2009; 43 2017; 27 2009 1977; 22 2018; 63 2011; 56 2013; 280 2007; 10 2004; 106 2016; 11 1987; 44 2015; 25 2017b 2017a 2019 2016; 177 2017 2014 2012; 279 2012; 46 2003; 84 2014; 50 2001; 58 e_1_2_6_10_1 e_1_2_6_30_1 e_1_2_6_19_1 e_1_2_6_13_1 e_1_2_6_14_1 e_1_2_6_11_1 e_1_2_6_12_1 e_1_2_6_17_1 e_1_2_6_18_1 e_1_2_6_15_1 e_1_2_6_16_1 e_1_2_6_21_1 e_1_2_6_20_1 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_24_1 e_1_2_6_3_1 cr-split#-e_1_2_6_23_1.2 e_1_2_6_2_1 e_1_2_6_22_1 cr-split#-e_1_2_6_23_1.1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_27_1 e_1_2_6_26_1 |
| References_xml | – volume: 22 start-page: 361 year: 1977 end-page: 369 article-title: A trophic state index for lakes publication-title: Limnol. Oceanogr. – volume: 58 start-page: 1905 year: 2001 end-page: 1908 article-title: Predicting cyanobacteria dominance in lakes publication-title: Can. J. Fish. Aquat. Sci. – year: 2009 – volume: 279 start-page: 4322 year: 2012 end-page: 4333 article-title: The dilemma of controlling cultural eutrophication of lakes publication-title: Proc. R. Soc. B – volume: 27 start-page: 1529 year: 2017 end-page: 1540 article-title: Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub‐continental scales publication-title: Ecol. Appl. – volume: 43 start-page: 12 year: 2009 end-page: 19 article-title: Eutrophication of US freshwaters: Analysis of potential economic damages publication-title: Environ. Sci. Technol. – volume: 177 start-page: 101 year: 2016 end-page: 106 article-title: A semi‐analytical scheme to estimate Secchi‐disk depth from Landsat‐8 measurements publication-title: Remote Sens. Environ. – volume: 56 start-page: 1811 year: 2011 end-page: 1824 article-title: Landscape drivers of regional variation in the relationship between total phosphorus and chlorophyll in lakes publication-title: Freshw. Biol. – volume: 44 start-page: 775 year: 1987 end-page: 781 article-title: Chlorophyll–phosphorus relationships for subarctic lakes in western Canada publication-title: Can. J. Fish. Aquat. Sci. – volume: 27 start-page: 632 year: 2017 end-page: 643 article-title: Annual precipitation regulates spatial and temporal drivers of lake water clarity publication-title: Ecol. Appl. – volume: 6 start-page: 1 year: 2017 end-page: 22 article-title: LAGOS‐NE: A multi‐scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes publication-title: Gigascience – year: 2017b – volume: 25 start-page: 943 year: 2015 end-page: 955 article-title: The importance of lake‐specific characteristics for water quality across the continental United States publication-title: Ecol. Appl. – volume: 46 start-page: 1364 year: 2012 end-page: 1371 article-title: Is the future blue‐green? A review of the current model predictions of how climate change could affect pelagic freshwater cyanobacteria publication-title: Water Res. – year: 2014 – volume: 106 start-page: 627 year: 2004 end-page: 636 article-title: Strategies for ecological extrapolation publication-title: Oikos – volume: 280 start-page: 20131452 year: 2013 article-title: Predictive systems ecology publication-title: Proc. R. Soc. B Biol. Sci. – volume: 41 start-page: 497 year: 1984 end-page: 501 article-title: Prediction of chlorophyll a concentrations in Florida lakes: Importance of aquatic macrophytes publication-title: Can. J. Fish. Aquat. Sci. – volume: 24 start-page: 201 year: 2009 end-page: 207 article-title: Eutrophication science: Where do we go from here? publication-title: Trends Ecol. Evol. – volume: 46 start-page: 1349 year: 2012 end-page: 1363 article-title: Climate change: Links to global expansion of harmful cyanobacteria publication-title: Water Res. – volume: 10 start-page: 790 year: 2007 end-page: 796 article-title: Cross–scale interactions and changing pattern–process relationships: Consequences for system dynamics publication-title: Ecosystems – volume: 50 start-page: 748 year: 2014 end-page: 761 article-title: Geospatial and temporal analysis of a 20‐year record of landsat‐based water clarity in Minnesota's 10,000 lakes publication-title: J. Am. Water Resour. Assoc. – volume: 84 start-page: 2809 year: 2003 end-page: 2815 article-title: Confronting multicollinearity in ecological multiple regression publication-title: Ecology – year: 2019 article-title: Quantifying the contribution of citizen science to broad‐scale ecological databases publication-title: Front. Ecol. Environ. – year: 2017a – volume: 63 start-page: 2372 year: 2018 end-page: 2383 article-title: Combining nutrient, productivity, and landscape‐based regressions improves predictions of lake nutrients and provides insight into nutrient coupling at macroscales publication-title: Limnol. Oceanogr. – year: 2017 – volume: 18 start-page: 1 year: 2002 end-page: 9 article-title: Volunteer lake monitoring: Testing the reliability of data collected by the Florida Lakewatch program publication-title: Lake Reserv. Manage. – volume: 11 year: 2016 article-title: Spatial variation in nutrient and water color effects on lake chlorophyll at macroscales publication-title: PLoS One – ident: e_1_2_6_2_1 doi: 10.1139/f84-059 – ident: e_1_2_6_16_1 doi: 10.1111/j.0030-1299.2004.12869.x – ident: e_1_2_6_3_1 doi: 10.1080/07438140209353924 – ident: e_1_2_6_26_1 doi: 10.32614/CRAN.package.LAGOSNE – ident: e_1_2_6_14_1 doi: 10.1139/f87-094 – ident: e_1_2_6_17_1 doi: 10.1007/s10021-007-9055-6 – ident: e_1_2_6_4_1 doi: 10.4319/lo.1977.22.2.0361 – ident: e_1_2_6_28_1 – ident: e_1_2_6_11_1 doi: 10.1890/02-3114 – ident: e_1_2_6_30_1 doi: 10.1002/lno.10944 – ident: e_1_2_6_6_1 doi: 10.1021/es801217q – ident: e_1_2_6_9_1 doi: 10.1098/rspb.2013.1452 – ident: e_1_2_6_22_1 doi: 10.1016/j.tree.2008.11.009 – ident: #cr-split#-e_1_2_6_23_1.1 – ident: e_1_2_6_25_1 doi: 10.1093/gigascience/gix101 – ident: e_1_2_6_7_1 doi: 10.1139/f01-143 – ident: e_1_2_6_27_1 – ident: e_1_2_6_24_1 – ident: e_1_2_6_10_1 doi: 10.1371/journal.pone.0164592 – ident: e_1_2_6_8_1 doi: 10.1016/j.watres.2011.12.018 – ident: e_1_2_6_19_1 doi: 10.1890/14-0935.1 – ident: e_1_2_6_21_1 doi: 10.1098/rspb.2012.1032 – ident: e_1_2_6_29_1 doi: 10.1111/j.1365-2427.2011.02621.x – ident: e_1_2_6_12_1 doi: 10.1016/j.rse.2016.02.033 – ident: #cr-split#-e_1_2_6_23_1.2 – ident: e_1_2_6_15_1 doi: 10.1016/j.watres.2011.08.002 – ident: e_1_2_6_18_1 doi: 10.1002/fee.2128 – ident: e_1_2_6_5_1 doi: 10.1002/eap.1545 – ident: e_1_2_6_13_1 doi: 10.1111/jawr.12138 – ident: e_1_2_6_20_1 doi: 10.1002/eap.1471 |
| SSID | ssj0001617538 |
| Score | 2.1946042 |
| Snippet | Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand... Abstract Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to... |
| SourceID | doaj proquest crossref wiley |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 228 |
| SubjectTerms | Algae Biomass Chlorophyll Climate change Climate effects Eutrophication Lakes Land use Nutrient concentrations Nutrients Phosphorus Population Productivity Variables Water quality |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrZ3PSx0xEMeDSA8ilFYrff4ioJcWFvcl2U1yVFE8iHqw4C1sZiet7bJP9j0t_vdOsvseTyj24m0JcwgzE-Yz7PAdxg6LILEoscgkoMxUgZiZytisJDYuNBUFDP2yCX11Ze7u7M3Sqq84E9bLA_eOOxqrWohaaCASUcHUNg9WEaYLHZW0IOl85touNVO_e44hDjcLPVJx1EwaEVtVqV5VoCTU_4oulxk1FZnzT-zjQIf8uL_VZ7aC7QZbvwas2kFaepP9pCcdJ8mp5vAK4LGr4JlPAm-qP8jbKK5PdYQ_dPEPTEoqft_y2a9JHL-pp3PLKffPvEFK5LSmiP8l5uw4UJ9LWM7j3OgX9uP87Pb0IhvWJWSgcqnIx1VRW1mXBUihx9YEzLH0PqcoqJKOCc7o0KMI5AcA7wP1ZsZrRGVDbuUWW20nLX5lHCpACMpCrnzc5Gss1IURutbaejmWI_Zt7kIHg5Z4XGnRuF4FWbjobpfcPWIHC9uHXkHjn1YnMRILi6h6nQ4oF9yQC-5_uTBiu_M4uuEpTl0c-yHqI8wbse8ptm9cw11eX4r0tf0eF9phayL252nSZ5etzrpH3GMf4Gl2P-32U8q-AL3F7fg priority: 102 providerName: Directory of Open Access Journals – databaseName: Wiley Online Library Open Access dbid: 24P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Pa90wDDZdu0MZbN0v9rauGLbLBqF5thPHsMs2VnoobQ8t9BZiRe7KQlKS143-95OcvPdWGIOyWzAKOJZkfbKVT0K8z4LGLMcs0YA6MRliUlSFS3LCxpmloIBhbDZhj4-Liwt3uiE-Lf-FGfkhVgdu7Blxv2YHr_ywvyYNbbpGce6pzQOxNZ9ryzatzOn6hCVnFsrYkk5TqkSxSq34SdX--vU7ESkS999Bm39i1hh0Dp7833R3xOMJbMrPo3U8FRvYPhOPTgCrdmKqfi4uaYfgwnQKYbICuOkruJVdkE31A2XLXP0UluR1zxc60UblVSsX3zuu5qmHpeQg_a1skPwidj2SvwjC9hIobSaUL7kM9YU4P_h29vUwmbovJGBSbUhlVVY7XecZaGXnrgiYYu59Sko1OQ0T1qNBjyrQZwF4HyjVK7xFNC6kTr8Um23X4ishoQKEYBykxnNj4MJBnRXK1tY6r-d6Jj4sNVDCRE3OHTKaciRVViWvXhlXbyberWSvR0KOv0p9YUWuJJhEOw50_WU5-SRlPbVStbJAINeEonZpcIYyQGWZpA1oWrtLMygnzx5KriIiEEmocSY-RoX_Yxrl0cmRik-v7yP8RmwrTutjgdCu2Fz0N_hWPISfi6uh34tW_hu-Ff1_ priority: 102 providerName: Wiley-Blackwell |
| Title | Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Flol2.10134 https://www.proquest.com/docview/2376264623 https://doaj.org/article/14d22d27c9234f8d90f94499276810c3 |
| Volume | 5 |
| WOSCitedRecordID | wos000504695900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: DOA dateStart: 20160101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: M~E dateStart: 20160101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: PCBAR dateStart: 20161201 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: BENPR dateStart: 20161201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: PIMPY dateStart: 20161201 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVWIB databaseName: Wiley Online Library Free Content customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: WIN dateStart: 20160101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 2378-2242 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001617538 issn: 2378-2242 databaseCode: 24P dateStart: 20160101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3faxQxEA629UEEfxdP6xHQF4Wl2yT7I09ipcVCvS6iWJ-WzSSpxWX33L0q_e-dyeWuFqQvvu2GYQn7TTLfJMM3jL3KvHRZ7rJEgpOJypxLyqbUSY7cOCswKDi_bDZRzGbl6amu4oHbGMsqV3ti2KhtD3RGvkvVGxi8MVq_nf9MqGsU3a7GFhobbIuUytDPt_YPZtWnq1OWnJQoy7Uuqdht-1ZQyirVtUgUBPuvscy_uWoINof3_3eaD9i9SDP5u6VfPGS3XPeI3T0B13RRo_oxO8O9gUrSMXjxBuBiaOCS9563zQ_HO1Lpx4DE5wNd5QTv5OcdX3zvqY7HjivLkZtL3jpcEaHfEf-N5HXggAkz8ntOBahP2JfDg8_vPySx70ICKpUKwWoyq6XNM5Ci2NOld6nLjUkRTpXjMLI8HDROePyRAMZ4TPJKUzintE-13GabXd-5p4xDAw680pAqQy2BSw02K0Vhi0IbuScn7PUKgxqiKDn1xmjrpZyyqAmvOuA1YS_XtvOlFMc_rfYJyrUFyWeHgX44q-NqxHzHCmFFAUhvlS-tTr1WmPuJguTZAKe1s0K3jmt6rK-gnbA3wTlumEZ9fHIswtOzm7_1nN0RlMKHYqAdtrkYLtwLdht-Lc7HYco2hKqm0aun4cAA36qjj9U3fPt6NPsDsG0Dmg |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1ba9RAFD6UraAI9Y5rqw6oDwqhcTK5PYh4K1263e5DhfqUJiczbWlI1mTbsn-qv9FzJsnWgvStD76FYQgnyTfnMnPyfQBvfeNpP9C-46H2HOVr7URpFDsB5cZ-SEFBm1ZsIpxMooODeLoCl_2_MNxW2ftE66jzCnmPfJO7Nyh4U7T-PPvtsGoUn672EhotLHb04oJKtubT6Dt933dSbv3Y_7btdKoCDirXU2RK6uexlwc-ejKkmttoVwdZ5pKxKqBhymFoMNPSEFwRs8xQCRNlodYqNpZ8iVz-qmKwD2B1Otqd_rra1QmY-TJa8qDKzaIqJJfInroW-axAwLWs9u_c2Aa3rQf_22t5CGtdGi2-tLh_BCu6fAz391CnZcfB_QSOyPdxyz0FZ5EintUpLkRlRJGealGyCgEFXDGr-ajKrj5xUor5ccV9SnnTz2xEthCFphVv9ZzEBSXntcAiZdU_wQ22T-HnrTzqMxiUVamfg8AUNRoVo6syljyOYsz9SIZ5GMaZ99Ebwvv-myfYka6z9keRtHTRMmF8JBYfQ3iznDtrqUb-OesrQ2c5g-nB7UBVHyWdt6F6LpcylyFS-q5MlMeuiRXVtjJk-jkkszZ6NCWdz2qSKygN4YMF4w1mJOO9sbRXL26-12u4u72_O07Go8nOOtyTvF1hG582YDCvz_RLuIPn85OmftWtJQGHt43TP11qXF0 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1ba9RAFD6UrYgI3sXVVgfUB4WwcTK5PYhU6-LSdbsPCvUpTU5majEka7Jt2b_WX-c5k2RrQfrWB9_CMIST5JtzmTn5PoBXvvG0H2jf8VB7jvK1dqI0ip2AcmM_pKCgTSs2Ec5m0cFBPN-A8_5fGG6r7H2iddR5hbxHPuLuDQreFK1HpmuLmO-OPyx-O6wgxSetvZxGC5E9vTqj8q15P9mlb_1ayvHnb5--OJ3CgIPK9RSZlfp57OWBj54Mqf422tVBlrlkuApomPIZGsy0NARdxCwzVM5EWai1io0lYiL3v0kpuZID2JxPvs5_XOzwBMyCGa05UeWoqArJ5bKnLkVBKxZwKcP9O0-2gW58939-RffgTpdei512PdyHDV0-gNv7qNOy4-Z-CEfkE7kVn4K2SBFP6hRXojKiSH9pUbI6AQVisaj5CMuuSnFciuXPivuX8qaf2YhsJQpNnsDqPIkzStprgUXKaoCCG28fwfdredTHMCirUj8BgSlqNCpGV2UshRzFmPuRDPMwjDPvnTeEN_33T7AjY2dNkCJpaaRlwlhJLFaG8HI9d9FSkPxz1keG0XoG04bbgao-SjovRHVeLmUuQ6S0Xpkoj10TK6p5Zci0dEhmbfXISjpf1iQXsBrCWwvMK8xIpvtTaa-eXn2vF3CTwJlMJ7O9Z3BL8i6G7YfagsGyPtHbcANPl8dN_bxbVgIOrxumfwBj82Ud |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Increasing+accuracy+of+lake+nutrient+predictions+in+thousands+of+lakes+by+leveraging+water+clarity+data&rft.jtitle=Limnology+and+oceanography+letters&rft.au=Wagner%2C+Tyler&rft.au=Lottig%2C+Noah+R.&rft.au=Bartley%2C+Meridith+L.&rft.au=Hanks%2C+Ephraim+M.&rft.date=2020-04-01&rft.issn=2378-2242&rft.eissn=2378-2242&rft.volume=5&rft.issue=2&rft.spage=228&rft.epage=235&rft_id=info:doi/10.1002%2Flol2.10134&rft.externalDBID=n%2Fa&rft.externalDocID=10_1002_lol2_10134 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2378-2242&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2378-2242&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2378-2242&client=summon |