2023
DOI: 10.1002/eco.2545
|View full text |Cite
|
Sign up to set email alerts
|

Importance of tree diameter and species for explaining the temporal and spatial variations of xylem water δ18O and δ2H in a multi‐species forest

Abstract: Identifying the vegetation and topographic variables influencing the isotopic variability of xylem water of forest vegetation remains crucial to interpret and predict ecohydrological processes in landscapes. In this study, we used temporally and spatially distributed xylem stable water isotopes measurements from two growing seasons to examine the temporal and spatial variations of xylem stable water isotopes and their relationships with vegetation and topographic variables in a Luxembourgish temperate mixed fo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
3
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 69 publications
1
3
1
Order By: Relevance
“…Significant correlations between δ XYLEM , elevation, and distance from the stream (Figure S6) may be related to soil moisture heterogeneity across the stand (Goldsmith et al, 2019;Oerter & Bowen, 2019); however, we did not observe significant correlations between δ XYLEM and TWI (Figure S6), often a stronger predictor of soil moisture content (Buchanan et al, 2014), and potentially of shallow soil moisture isotopic compositions (Knighton, Souter-Kline, et al, 2019) compared to elevation. In contrast, a study in a mixed beech/oak forest reached a contrasting conclusion that elevation was not a very strong predictor of δ XYLEM (Fresne et al, 2023), possibly due to greater across-tree variations in rooting depths than existed across the hemlock in this study.…”
Section: Tree Characteristic and Landscape Controls On Hemlock δ Xylemcontrasting
confidence: 99%
See 3 more Smart Citations
“…Significant correlations between δ XYLEM , elevation, and distance from the stream (Figure S6) may be related to soil moisture heterogeneity across the stand (Goldsmith et al, 2019;Oerter & Bowen, 2019); however, we did not observe significant correlations between δ XYLEM and TWI (Figure S6), often a stronger predictor of soil moisture content (Buchanan et al, 2014), and potentially of shallow soil moisture isotopic compositions (Knighton, Souter-Kline, et al, 2019) compared to elevation. In contrast, a study in a mixed beech/oak forest reached a contrasting conclusion that elevation was not a very strong predictor of δ XYLEM (Fresne et al, 2023), possibly due to greater across-tree variations in rooting depths than existed across the hemlock in this study.…”
Section: Tree Characteristic and Landscape Controls On Hemlock δ Xylemcontrasting
confidence: 99%
“…During July, a linear model based on elevation and SBH explained a substantial amount of δ 18 O variation (Figure 5), similar to the 54% of δ 18 O variance explained by genus, DBH, and soil depth in a mixed hardwood forest (Gaines et al, 2016) and in general agreement with the importance of DBH during the dry season in a beech/oak forest (Fresne et al, 2023). Environmental conditions (i.e., elevation) had a stronger relative influence on δ XYLEM variations than plant structure (i.e., sapwood depth) (Figure 5).…”
Section: Tree Characteristic and Landscape Controls On Hemlock δ Xylemsupporting
confidence: 68%
See 2 more Smart Citations
“…Applications that encompass a range of different plant species (including non-woody species), ecosystems, functional diversity levels with different vessel and wood anatomies leading to different hydraulic traits and applications of in-situ measurements over longer time periods (> months to years) are needed to e.g., assess species ecohydrological niche or complementarity (e.g., Fresne et al, 2023) and to assess feedback mechanisms from individual plants to ecosystems. Figure 2 highlights future research directions and shows interdisciplinary potential in conducting experiments, applying methods and models.…”
Section: Future Directionsmentioning
confidence: 99%