A close up of daily temperature and moisture in two Mexican high-elevation forests
The scarcity of meteorological stations and the strong need for climatic information in alpine forests require the use of large-scale climatic algorithms but the lack of in situ information produces high uncertainty on their suitability. In this study, we used linear mixed models to study the topogr...
| Prif Awduron: | , , |
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| Fformat: | Online |
| Iaith: | spa |
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Instituto de Ecología, A.C.
2021
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| Mynediad Ar-lein: | https://myb.ojs.inecol.mx/index.php/myb/article/view/2206 |
| _version_ | 1799769417450520576 |
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| author | Correa-Díaz, Arian Gómez-Guerrero, Armando Velasco-Bautista, Efrain |
| author_facet | Correa-Díaz, Arian Gómez-Guerrero, Armando Velasco-Bautista, Efrain |
| author_sort | Correa-Díaz, Arian |
| collection | MYB |
| description | The scarcity of meteorological stations and the strong need for climatic information in alpine forests require the use of large-scale climatic algorithms but the lack of in situ information produces high uncertainty on their suitability. In this study, we used linear mixed models to study the topographic effect (elevation and aspect) and time variations (from hourly to monthly) on temperature (T) and relative humidity (RH) with a 5-year instrumental database. Furthermore, we compared climatic information from a geographical algorithm and our in-situ data. Our data covered two mountains (Tláloc-TLA and Jocotitlán-JOC, State of México), four elevation belts (from 3500 m to 3900 m a.s.l.), and two aspects (Northwest and Southwest). We found differences for average temperature (TLA = 7.56 °C ± 0.03 °C and JOC = 6.98 °C ± 0.02 °C), and relative humidity between mountains (TLA = 69.3% ± 0.12% and JOC = 72.5% ± 0.13%,). The most significant variables explaining T were the elevation (Δ= -0.36 °C by 100 m) and aspect, while the aspect was relevant for RH. May was the warmest month (9.50 °C ± 0.10 °C for average temperature) while September the wettest for both mountains (85.1% ± 0.30% and 87.4% ± 0.25 % RH, respectively). Despite the higher correlations between climatic sources (up to r = 0.83), the geographical algorithm overestimates T and underestimates RH. We propose that when climatic information from geographical algorithms is used in alpine forests, calibrations are needed whenever possible with in situ information. |
| format | Online |
| id | oai:oai.myb.ojs.inecol.mx:article-2206 |
| institution | Madera y Bosques |
| language | spa |
| publishDate | 2021 |
| publisher | Instituto de Ecología, A.C. |
| record_format | ojs |
| spelling | oai:oai.myb.ojs.inecol.mx:article-22062022-11-29T22:18:35Z A close up of daily temperature and moisture in two Mexican high-elevation forests Un acercamiento a la temperatura y humedad diaria en dos bosques mexicanos de alta montaña Correa-Díaz, Arian Gómez-Guerrero, Armando Velasco-Bautista, Efrain Pinus hartwegii relative humidity temperature Pinus hartwegii humedad relativa temperatura The scarcity of meteorological stations and the strong need for climatic information in alpine forests require the use of large-scale climatic algorithms but the lack of in situ information produces high uncertainty on their suitability. In this study, we used linear mixed models to study the topographic effect (elevation and aspect) and time variations (from hourly to monthly) on temperature (T) and relative humidity (RH) with a 5-year instrumental database. Furthermore, we compared climatic information from a geographical algorithm and our in-situ data. Our data covered two mountains (Tláloc-TLA and Jocotitlán-JOC, State of México), four elevation belts (from 3500 m to 3900 m a.s.l.), and two aspects (Northwest and Southwest). We found differences for average temperature (TLA = 7.56 °C ± 0.03 °C and JOC = 6.98 °C ± 0.02 °C), and relative humidity between mountains (TLA = 69.3% ± 0.12% and JOC = 72.5% ± 0.13%,). The most significant variables explaining T were the elevation (Δ= -0.36 °C by 100 m) and aspect, while the aspect was relevant for RH. May was the warmest month (9.50 °C ± 0.10 °C for average temperature) while September the wettest for both mountains (85.1% ± 0.30% and 87.4% ± 0.25 % RH, respectively). Despite the higher correlations between climatic sources (up to r = 0.83), the geographical algorithm overestimates T and underestimates RH. We propose that when climatic information from geographical algorithms is used in alpine forests, calibrations are needed whenever possible with in situ information. La escasez de estaciones meteorológicas y la necesidad de información climática en bosques de alta montaña implica el uso de algoritmos climáticos a gran escala, pero la falta de información in situ produce una alta incertidumbre en su idoneidad. En este estudio, se usaron modelos lineares mixtos para estudiar el efecto de la topografía (elevación y exposición) y tiempo (de nivel hora a mensual) en temperatura (T) y humedad relativa (RH) en una base de datos instrumental de cinco años. Además, se comparó información climática de un algoritmo geográfico y una base de datos in situ. Los datos incluyeron dos montañas (Tláloc-TLA and Jocotitlán-JOC, Estado de México), cuatro niveles altitudinales (de 3500 m a 3900 m s.n.m.) y dos exposiciones (Noroeste y Suroeste). Se encontraron diferencias para temperatura promedio (TLA = 7.56 °C ± 0.03 °C and JOC = 6.98 °C ± 0.02 °C), y humedad relativa entre montañas (TLA = 69.3% ± 0.12% and JOC = 72.5% ± 0.13%). Las variables más importantes que explicaron T fueron la elevación (Δ= -0.36 °C cada 100 m) y exposición, mientras que la exposición para RH. Mayo fue el mes más caluroso (9.50 °C ± 0.10 °C para temperatura promedio) mientras que septiembre, el más húmedo para ambas montañas (85.1% ± 0.30% y 87.4% ± 0.25% RH, respectivamente). A pesar de las altas correlaciones entre fuentes de información climática (hasta r = 0.83), el algoritmo geográfico sobreestima T y subestima RH. Se propone que cuando la información climática proveniente de algoritmos geográficos sea usada en bosques de alta montaña, es necesaria una calibración con información in situ cuando sea posible. Instituto de Ecología, A.C. 2021-12-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo evaluado por pares application/pdf text/xml https://myb.ojs.inecol.mx/index.php/myb/article/view/2206 10.21829/myb.2021.2732206 Madera y Bosques; Vol. 27 No. 3 (2021): Autumn 2021 Madera y Bosques; Vol. 27 Núm. 3 (2021): Otoño 2021 2448-7597 1405-0471 spa https://myb.ojs.inecol.mx/index.php/myb/article/view/2206/2314 https://myb.ojs.inecol.mx/index.php/myb/article/view/2206/2356 10.21829/myb.2019.252529 10.21829/myb.2018.243651 Derechos de autor 2021 Madera y Bosques http://creativecommons.org/licenses/by-nc-sa/4.0 |
| spellingShingle | Correa-Díaz, Arian Gómez-Guerrero, Armando Velasco-Bautista, Efrain A close up of daily temperature and moisture in two Mexican high-elevation forests |
| title | A close up of daily temperature and moisture in two Mexican high-elevation forests |
| title_full | A close up of daily temperature and moisture in two Mexican high-elevation forests |
| title_fullStr | A close up of daily temperature and moisture in two Mexican high-elevation forests |
| title_full_unstemmed | A close up of daily temperature and moisture in two Mexican high-elevation forests |
| title_short | A close up of daily temperature and moisture in two Mexican high-elevation forests |
| title_sort | close up of daily temperature and moisture in two mexican high-elevation forests |
| url | https://myb.ojs.inecol.mx/index.php/myb/article/view/2206 |
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