FlywayNet: A hidden semi‐Markov model for inferring the structure of migratory bird networks from count data

Autor: Sam Nicol, Marie‐Josée Cros, Nathalie Peyrard, Régis Sabbadin, Ronan Trépos, Richard A. Fuller, Bradley K. Woodworth

Publikováno v: Methods in Ecology and Evolution, Vol 14, Iss 1, Pp 265-279 (2023)

Abstract Every year, millions of birds migrate between breeding and nonbreeding habitat, but the relative numbers of animals moving between sites are difficult to observe directly. Here we propose FlywayNet, a discrete network model based on observed

Externí odkaz: https://doaj.org/article/f454c5abe3e14b5da7e10073b1edbcab

Optimization of black-box models with uncertain climatic inputs-Application to sunflower ideotype design.

Autor: Victor Picheny, Ronan Trépos, Pierre Casadebaig

Publikováno v: PLoS ONE, Vol 12, Iss 5, p e0176815 (2017)

Accounting for the interannual climatic variations is a well-known issue for simulation-based studies of environmental systems. It often requires intensive sampling (e.g., averaging the simulation outputs over many climatic series), which hinders man

Externí odkaz: https://doaj.org/article/8df139f59fe041e29160234e9acbc31b

Author response for 'FlywayNet : A hidden semi‐Markov model for inferring the structure of migratory bird networks from count data'

Autor: null Sam Nicol, null Marie‐Josée Cros, null Nathalie Peyrard, null Régis Sabbadin, null Ronan Trépos, null Richard A. Fuller, null Bradley K. Woodworth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f508e8ae49a76da436261f2639769dc8
https://doi.org/10.1111/2041-210x.14011/v2/response1

Decision rules for managing N fertilization based on model simulations and viability assessment

Autor: Clémence Ravier, Marie-Hélène Jeuffroy, Rodolphe Sabatier, Jean-Marc Meynard, Damien Beillouin, Ronan Trépos

Publikováno v: European Journal of Agronomy
European Journal of Agronomy, 2021, 125, pp.126247. ⟨10.1016/j.eja.2021.126247⟩

International audience; Nitrogen (N) fertilizer is commonly applied to wheat crops (Triticum aestivum L.) during the vegetative growth to meet crop requirements. Current decision rules for N application result in N losses to the environment, and thus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db9d2e60423c5b1502ec4d667c6b37b
https://hal.inrae.fr/hal-03273588

Forecasting Sunflower Grain Yield by Assimilating Leaf Area Index into a Crop Model

Autor: Jean-François Dejoux, Ahmad Al Bitar, Luc Champolivier, Pierre Casadebaig, Ronan Trépos, Philippe Debaeke

Publikováno v: Remote Sensing
Volume 12
Issue 22
Pages: 3816
Remote Sensing, 2020, 12 (22), pp.3816. ⟨10.3390/rs12223816⟩
Remote Sensing, MDPI, 2020, 12 (22), pp.3816. ⟨10.3390/rs12223816⟩
Remote Sensing, Vol 12, Iss 3816, p 3816 (2020)

Forecasting sunflower grain yield a few weeks before crop harvesting is of strategic interest for cooperatives that collect and store grains. With such information, they can optimize their logistics and thus reduce the financial and environmental cos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413d52096c8aeb1bd542193f51e4435b