Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences

Autor: de Mello, Carlos R., Guo, Li, Yuan, Chuan, Rodrigues, André F., Lima, Renato R., Terra, Marcela C.N.S.

Publikováno v: In Journal of Environmental Management May 2024 358

Performance assessment of spatio-temporal regression kriging with GAMLSS models as trends

Autor: MEDEIROS, ELIAS S. DE, LIMA, RENATO R. DE, OLINDA, RICARDO A. DE, DANTAS, LEYDSON G., SANTOS, CARLOS A.C. DOS

Publikováno v: Anais da Academia Brasileira de Ciências v.94 suppl.3 2022
Anais da Academia Brasileira de Ciências
Academia Brasileira de Ciências (ABC)
instacron:ABC
Anais da Academia Brasileira de Ciências, Volume: 94 Supplement 3, Article number: e20211241, Published: 05 DEC 2022

The main objective of this study is to propose different probabilistic models for adjusting the trend component, since it significantly influences the quality of the spatio-temporal interpolation of rainfalls. We used the monthly total precipitation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1bea054ea48ef689c70c077f06c921ec
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000701104

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Application of Bayesian networks to the prediction of the AMEn: a new methodology in broiler nutrition.

Autor: Alvarenga, Tatiane C, Lima, Renato R, Filho, Júlio S S Bueno, Simão, Sérgio D, Mariano, Flávia C Q, Alvarenga, Renata R, Rodrigues, Paulo B

Publikováno v: Translational Animal Science; Jan2021, Vol. 5 Issue 1, p1-11, 11p