2020
DOI: 10.21829/myb.2020.2631653
|View full text |Cite
|
Sign up to set email alerts
|

Reconstrucción de la precipitación y caudal medio del río Piaxtla mediante anillos de crecimiento de Pseudotsuga menziesii (Mirb.) Franco

Abstract: La reconstrucción de variables hidroclimáticas es importante para comprender el funcionamiento de las cuencas forestales y tomar decisiones sobre su manejo. En este trabajo se reconstruyó la precipitación y el caudal medio a partir de información de anillos de crecimiento de Pseudostuga menziesii en la cuenca del río Piaxtla. Con la información de siete series dendrocronologías, se construyó una sola cronología regional. Se probó la correlación de la cronología regional con eventos de fenómenos océano-atmósfer… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0
2

Year Published

2021
2021
2024
2024

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 56 publications
0
4
0
2
Order By: Relevance
“…Linking inter- and intra-annual variability with remote sensing data could provide finer resolution proxies for growth dynamics associated with climate variability that are still at an early stage. There are some studies dealing with the climatic drivers of tree growth and NDVI data in high-elevation forests from central Mexico (Correa-Díaz et al 2019 , 2020 ), and in semi-arid forests from northern Mexico and the south-western USA (Villanueva-Díaz et al 2009 ; Pompa-García et al 2013 ; González-Casares et al 2017 , 2020 ; Szejner et al 2020 ). However, intra-annual xylogenesis studies are still scarce in this region (but see Belmecheri et al 2018 ; Ziaco et al 2018 ; Pompa-García et al 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Linking inter- and intra-annual variability with remote sensing data could provide finer resolution proxies for growth dynamics associated with climate variability that are still at an early stage. There are some studies dealing with the climatic drivers of tree growth and NDVI data in high-elevation forests from central Mexico (Correa-Díaz et al 2019 , 2020 ), and in semi-arid forests from northern Mexico and the south-western USA (Villanueva-Díaz et al 2009 ; Pompa-García et al 2013 ; González-Casares et al 2017 , 2020 ; Szejner et al 2020 ). However, intra-annual xylogenesis studies are still scarce in this region (but see Belmecheri et al 2018 ; Ziaco et al 2018 ; Pompa-García et al 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…The response of the tree-ring series to the runoff from November to July may be associated with a strong connection to the accumulated precipitation from the previous winter to spring (Table 2). This relationship has been well documented in the region [3,12,14,42,43]. Winter-spring precipitation in this region generally occurs at low intensity and often as snow, a situation that favors the process of water infiltration and accumulation in the soil profile.…”
Section: The Runoff Of the Gauge Station Las Burras And Its Correlati...mentioning
confidence: 84%
“…Before this period, historical archives documented the presence of severe droughts in the 1810s, 1790s, 1770s, 1750s, and 1720s [2]. Dendroclimatic reconstructions also detect intense droughts in previous periods such as the 1670s, 1570s, and 1490s [12][13][14], with severe impacts on forest ecosystems [15].…”
Section: Introductionmentioning
confidence: 99%
“…Para Q. sideroxyla, la respuesta a la variable precipitación fue similar a la de las coníferas de acuerdo a lo reportado por Villanueva Díaz et al (2009b) y por Chávez-Gándara et al (2017) en donde demostraron que la precipitación presente en el período invierno primavera, es la que mayormente impacta en el crecimiento de especies de coníferas, lo cual se explica a su vez por los tipos de bosque de pino-encino en donde se desarrollan, así mismo Ortiz-Quijano et al (2018), en un estudio desarrollado más al centro de México, obtuvieron valores significativos con la precipitación (R = 0.66, P < 0.01) presente de enero a junio, logrando identificar periodos de sequía y periodos de abundante precipitación en la cronología desarrollada para Fagus grandifolia subsp. mexicana.…”
Section: Discussionunclassified