Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ludmila S. Brighenti"'
Autor:
CAMILA F. SALES, FABRÍCIO FLÁVIO T. DOMINGOS, LUDMILA S. BRIGHENTI, ROSY I.M.A. RIBEIRO, HÉLIO B. SANTOS, RALPH G. THOMÉ
Publikováno v:
Anais da Academia Brasileira de Ciências, Iss 0 (2016)
ABSTRACT Herein we determine for the first time the reproduction parameters and population structure of Hypostomus francisci in the Itapecerica River, São Francisco Basin. A total of 250 specimens was captured quarterly between March 2010 and Februa
Externí odkaz:
https://doaj.org/article/e39bddb5ab754fd391b14cd64b5bd484
Autor:
LUCIANA P.M. BRANDÃO, LUDMILA S. BRIGHENTI, PETER A. STAEHR, FRANCISCO A.R. BARBOSA, JOSÉ F. BEZERRA-NETO
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 89, Iss 1 suppl, Pp 469-489
ABSTRACT We studied the effects of particulate and dissolved optically active components on the attenuation of photosynthetic active radiation (PAR) in a tropical lake. The temporal and spatial distribution of tripton, Chl-a and aCDOM(440) and their
Externí odkaz:
https://doaj.org/article/57aea315a3064d589050e8ed48e08e30
Autor:
Mary E. Lofton, Jennifer A. Brentrup, Whitney S. Beck, Jacob A. Zwart, Ruchi Bhattacharya, Ludmila S. Brighenti, Sarah H. Burnet, Ian M. McCullough, Bethel G. Steele, Cayelan C. Carey, Kathryn L. Cottingham, Michael C. Dietze, Holly A. Ewing, Kathleen C. Weathers, Shannon L. LaDeau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f9517734c77573f5a55f945621ed6f
https://doi.org/10.1002/essoar.10510778.1
https://doi.org/10.1002/essoar.10510778.1
Autor:
Jacob A. Zwart, Ludmila S. Brighenti
Publikováno v:
Reference Module in Earth Systems and Environmental Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9071be0e77945758d4ba08926b4624
https://doi.org/10.1016/b978-0-12-819166-8.00029-3
https://doi.org/10.1016/b978-0-12-819166-8.00029-3
Autor:
Mary E. Lofton, Jennifer A. Brentrup, Whitney S. Beck, Jacob A. Zwart, Ruchi Bhattacharya, Ludmila S. Brighenti, Sarah H. Burnet, Ian M. McCullough, Bethel G. Steele, Cayelan C. Carey, Kathryn L. Cottingham, Michael C. Dietze, Holly A. Ewing, Kathleen C. Weathers, Shannon L. LaDeau
Publikováno v:
Ecological applications : a publication of the Ecological Society of America. 32(5)
Near-term ecological forecasts provide resource managers advance notice of changes in ecosystem services, such as fisheries stocks, timber yields, or water quality. Importantly, ecological forecasts can identify where there is uncertainty in the fore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfb63f6dc4e90ec04c6ae4663d135b1b
https://pubmed.ncbi.nlm.nih.gov/35343013
https://pubmed.ncbi.nlm.nih.gov/35343013
Autor:
Mark Honti, Vera Istvánovics, Peter A. Staehr, Ludmila S. Brighenti, Mengyuan Zhu, Guangwei Zhu
Publikováno v:
Aarhus University
Honti, M, Istvánovics, V, Staehr, P A, Brighenti, L S, Zhu, M & Zhu, G 2016, ' Robust estimation of lake metabolism by coupling high frequency dissolved oxygen and chlorophyll fluorescence data in a Bayesian framework ', Inland Waters, vol. 6, no. 4, pp. 608-621 . < http://www.scopus.com/inward/record.url?scp=84994831219&partnerID=8YFLogxK >
Honti, M, Istvánovics, V, Staehr, P A, Brighenti, L S, Zhu, M & Zhu, G 2016, ' Robust estimation of lake metabolism by coupling high frequency dissolved oxygen and chlorophyll fluorescence data in a Bayesian framework ', Inland Waters, vol. 6, no. 4, pp. 608-621 . < http://www.scopus.com/inward/record.url?scp=84994831219&partnerID=8YFLogxK >
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb99a250ed9a275ac586120e93541f25
https://pure.au.dk/portal/en/publications/robust-estimation-of-lake-metabolism-by-coupling-high-frequency-dissolved-oxygen-and-chlorophyll-fluorescence-data-in-a-bayesian-framework(2737e35a-65ac-4ca4-94e7-78040df316a4).html
https://pure.au.dk/portal/en/publications/robust-estimation-of-lake-metabolism-by-coupling-high-frequency-dissolved-oxygen-and-chlorophyll-fluorescence-data-in-a-bayesian-framework(2737e35a-65ac-4ca4-94e7-78040df316a4).html