Climate variability indices for ecological and crop models in R: the climatrends package
Abiotic factors play an important role in most ecological and crop systems that depend on certain levels of temperature, light and precipitation to initiate important physiological events (Schulze et al., 2019). Understanding how these factors drive the physiological processes is a key approach to p...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Open Journal
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/130416 |
| _version_ | 1855542345782525952 |
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| author | Sousa, Kauê de Etten, Jacob van Neby, Magne Solberg, Svein Øivind |
| author_browse | Etten, Jacob van Neby, Magne Solberg, Svein Øivind Sousa, Kauê de |
| author_facet | Sousa, Kauê de Etten, Jacob van Neby, Magne Solberg, Svein Øivind |
| author_sort | Sousa, Kauê de |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Abiotic factors play an important role in most ecological and crop systems that depend on certain levels of temperature, light and precipitation to initiate important physiological events (Schulze et al., 2019). Understanding how these factors drive the physiological processes is a key approach to provide recommendations for adaptation and biodiversity conservation in applied ecology studies. The package climatrends aims to provide the methods in R (R Core Team, 2020) to compute precipitation and temperature indices that serve as input for climate and crop models (Kehel et al., 2016; van Etten et al., 2019), trends in climate change (Aguilar et al., 2005; de Sousa et al., 2018) and applied ecology (Liu & El-Kassaby, 2018; Prentice et al., 1992). |
| format | Journal Article |
| id | CGSpace130416 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Open Journal |
| publisherStr | Open Journal |
| record_format | dspace |
| spelling | CGSpace1304162025-12-08T10:29:22Z Climate variability indices for ecological and crop models in R: the climatrends package Sousa, Kauê de Etten, Jacob van Neby, Magne Solberg, Svein Øivind climate variability crop modelling software development interoperability open science Abiotic factors play an important role in most ecological and crop systems that depend on certain levels of temperature, light and precipitation to initiate important physiological events (Schulze et al., 2019). Understanding how these factors drive the physiological processes is a key approach to provide recommendations for adaptation and biodiversity conservation in applied ecology studies. The package climatrends aims to provide the methods in R (R Core Team, 2020) to compute precipitation and temperature indices that serve as input for climate and crop models (Kehel et al., 2016; van Etten et al., 2019), trends in climate change (Aguilar et al., 2005; de Sousa et al., 2018) and applied ecology (Liu & El-Kassaby, 2018; Prentice et al., 1992). 2023-05-08 2023-05-16T12:27:59Z 2023-05-16T12:27:59Z Journal Article https://hdl.handle.net/10568/130416 en Open Access application/pdf Open Journal de Sousa, K.; van Etten, J.; Neby, M.; Solberg, S.Ø. (2023) Climate variability indices for ecological and crop models in R: the climatrends package. Journal of Open Source Software 8(85):4405. ISSN: 2475-9066 |
| spellingShingle | climate variability crop modelling software development interoperability open science Sousa, Kauê de Etten, Jacob van Neby, Magne Solberg, Svein Øivind Climate variability indices for ecological and crop models in R: the climatrends package |
| title | Climate variability indices for ecological and crop models in R: the climatrends package |
| title_full | Climate variability indices for ecological and crop models in R: the climatrends package |
| title_fullStr | Climate variability indices for ecological and crop models in R: the climatrends package |
| title_full_unstemmed | Climate variability indices for ecological and crop models in R: the climatrends package |
| title_short | Climate variability indices for ecological and crop models in R: the climatrends package |
| title_sort | climate variability indices for ecological and crop models in r the climatrends package |
| topic | climate variability crop modelling software development interoperability open science |
| url | https://hdl.handle.net/10568/130416 |
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