Responses of canopy hydrometorological parameters to oak dieback in the Mediterranean sparse forest, Iran DOI
Seyed Mohammad Moein Sadeghi, Touba Panahandeh, John T. Van Stan

et al.

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 343, P. 109784 - 109784

Published: Nov. 10, 2023

Language: Английский

Global quantitative synthesis on the patterns and drivers of funneling ratio and enrichment ratio for stemflow DOI

Mengdi Wu,

Zhiyun Jiang, Xiao Yang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 244, P. 108253 - 108253

Published: July 22, 2024

Language: Английский

Citations

1

Rainfall redistribution in subtropical Chinese forests changes over 22 years DOI Creative Commons
Wanjun Zhang, Thomas Scholten, Steffen Seitz

et al.

Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(16), P. 3837 - 3854

Published: Aug. 23, 2024

Abstract. Rainfall redistribution through the vegetation canopy plays a key role in hydrological cycle. Although there have been studies on heterogeneous patterns of rainfall some ecosystems, understanding this process different stages forest succession remains insufficient. Therefore, study investigated change tendency and rainwater chemistry subtropical South China, based 22 years (2001–2022) monitoring (740 valid events). Results showed that, at event scale, both throughfall ratio stemflow pine (PF) were higher than mixed (MF) broadleaf (BF). At interannual forests experienced an initial decrease followed by subsequent increase over entire measurement period (except forest), which reflects trend open rainfall. The variability from MF to PF BF, likewise BF. Changes BF are thus those time. Furthermore, important differences fluxes among three types found, changing varying order On average, total nitrogen (TN) phosphorus (TP) increased PF, while potassium (K+) flux PF. Stemflow chemical varied less time, although tree species most importantly affected chemistry. These results show changes time that characteristic variations driven factors. provides insight into long-term processes linking spectra with typical sequence.

Language: Английский

Citations

1

Improving evapotranspiration partitioning by integrating satellite vegetation parameters into a land surface model DOI
Dawei Peng, Xianhong Xie, Shunlin Liang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 643, P. 131928 - 131928

Published: Sept. 2, 2024

Language: Английский

Citations

1

Changes in throughfall induced by low‐severity fire in a coniferous and broadleaved mixed forest DOI Open Access
Lei Su,

Linyu Qi,

Xiaolin Li

et al.

Hydrological Processes, Journal Year: 2023, Volume and Issue: 37(10)

Published: Oct. 1, 2023

Abstract Forest fires, as a prominent main natural disturbance in forest ecosystems, have critical influence on hydrological processes through the alteration of stand structure. Despite throughfall ( TF ) being dominant component rainfall partitioning limited research has thoroughly investigated how fire affects spatial and temporal patterns . This study examined response to low‐severity coniferous broadleaved mixed Central China. Our results showed that exhibited an increasing trend regarding gross rainfall, its variability decreased with regardless burning states. Low‐severity induced considerable enhancement rate, enhancing it from 71.1% 77.9%, increased coefficient variation 19.4% 23.9%. Additionally, burned were found be marginally less stable than unburned forest. We used sample size 16 25 for forests, respectively, accurately reliably acquire accepted error 10% 95% confidence level. findings suggest can enhance yield variability, decrease stability. Moreover, we recommend ensure collection representative These contribute deeper understanding improve prediction optimize sampling scheme

Language: Английский

Citations

3

Responses of canopy hydrometorological parameters to oak dieback in the Mediterranean sparse forest, Iran DOI
Seyed Mohammad Moein Sadeghi, Touba Panahandeh, John T. Van Stan

et al.

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 343, P. 109784 - 109784

Published: Nov. 10, 2023

Language: Английский

Citations

3