Needle-leaved trees impacts on rainfall interception and canopy storage capacity in an arid environment

Attarod, Pedram; Sadeghi, Seyed Mohammad Moein; Pypker, Thomas G.; Bagheri, Hossein; Bagheri, Mohsen; Bayramzadeh, Vilma

doi:10.1007/s11056-014-9464-2

Cited by 31 publications

(5 citation statements)

References 45 publications

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“…Overall, two sampling strategies for measuring T f exist: stationary and roving methods. In the stationary (fixed setup) method, T f collectors are kept at fixed positions during the entire study period [23][24][25][26][27][28]. The roving collector method is a sampling strategy whereby the T f collectors are randomly relocated at regular or variable times [22,[29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Spatial Variability and Optimal Number of Rain Gauges for Sampling Throughfall under Single Oak Trees during the Leafless Period

Fathizadeh

Sadeghi

Pazhouhan

et al. 2021

Forests

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This study examined the spatial variability of throughfall (Tf) and its implications for sampling throughfall during the leafless period of oak trees. To do this, we measured Tf under five single Brant’s oak trees (Quercus brantii var. Persica), in the Zagros region of Iran, spanning a six-month-long study period. Overall, the Tf amounted to 85.7% of gross rainfall. The spatial coefficient of variation (CV) for rainstorm total Tf volumes was 25%, on average, and it decreased as the magnitude of rainfall increased. During the leafless period, Tf was spatially autocorrelated over distances of 1 to 3.5 m, indicating the benefits of sampling with relatively elongated troughs. Our findings highlight the great variability of Tf under the canopies of Brant’s oaks during their leafless period. We may also conclude that the 29 Tf collectors used in the present study were sufficient to robustly estimate tree-scale Tf values within a 10% error of the mean at the 95% confidence level. Given that a ±10% uncertainty in Tf is associated with a ±100% uncertainty in interception loss, this underscores the challenges in its measurement at the individual tree level in the leafless season. These results are valuable for determining the number and placement of Tf collectors, and their expected level of confidence, when measuring tree-level Tf of scattered oak trees and those in forest stands.

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Section: Introductionmentioning

confidence: 99%

Spatial Variability and Optimal Number of Rain Gauges for Sampling Throughfall under Single Oak Trees during the Leafless Period

Fathizadeh

Sadeghi

Pazhouhan

et al. 2021

Forests

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“…As one of the key parameters in the vegetation hydrological cycle, canopy storage capacity measures the minimum amount of rainwater required to saturate the vegetation canopy (Dunkerley, 2000; Fathizadeh et al, 2018). There are many factors affecting canopy storage capacity, which can be classified into three categories: (1) meteorological factors, including rainfall amount (Kermavnar & Vilhar, 2017; Liu et al, 2018), intensity (Li et al, 2019), duration (Liu, 1997), temperature, humidity and wind interference (Attarod et al, 2015; Hörmann et al, 1996); (2) vegetation factors, including vegetation types (Xiong et al, 2018; Yan et al, 2021), morphological traits such as leaf area, dry or fresh weights of stem and leaf (Monson et al, 1992; Yan et al, 2021) and canopy characteristics, including coverage, leaf area index (Fleischbein et al, 2005; Kang et al, 2005); and (3) other factors, for instance, disturbance activities (grazing, artificially configured communities) (Lunka & Patil, 2016) and growing seasons (Deguchi et al, 2006; Herbst et al, 2008). Some studies considered the relationships between community structure and canopy storage capacity, but they tended to focus on measuring community structure with direct metrics, for example, aboveground biomass production, leaf area index (LAI), community canopy height and coverage (Deguchi et al, 2006; Holder, 2013; Yu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The contribution of understory and Compositae species to canopy storage capacity of semiarid grassland communities on the Loess Plateau

et al. 2022

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Canopy rainfall interception reduces the effectiveness of limited rainfall resources in arid and semiarid regions. To clarify the effects of species composition and community vertical structure on canopy storage capacity, the artificial wetting and simulated rainfall methods were used to determine the species (C) and community (Cmax) water storage, respectively, in three typical grassland communities on the semiarid Loess Plateau. Results indicated that water storage capacity of 31 grassland species ranged from 0.47 to 3.73 g g−1, with an average of 1.60 g g−1, and leaf storage capacity was significantly higher than the stem. Plant storage capacity was correlated with leaf traits (including leaf fresh weight, length and area). Canopy storage capacity of three grassland communities (Bothriochloa ischaemum, Artemisia gmelinii and Lespedeza davurica) ranged from 0.77 to 1.09 mm and were positively correlated with community leaf area index (LAI), coverage and leaf dry biomass. Leaf and stem water storage accounted for 57.6% and 42.4% of the total community, respectively. The water storage of Compositae, Gramineae, Leguminosae and other species accounted for 35.5%, 27.0%, 23.4% and 14.1%, respectively. The plants in the community with heights of >40, 20–40 and 0–20 cm contributed 5.8%, 30.3% and 63.9% of the water storage, respectively. The field observed canopy storage capacity was significantly higher than the estimated value through scaling up the individual storage data to the community, revealing complex community structure and species composition may increase actual rainfall interception. These results highlighted the species at 0–20 cm height was the key component affecting canopy water storage, and Compositae species may intercept more rainfall within the community, which imply that reducing the understory or Compositae species composition of grassland community would be helpful for increasing limited rainfall partitioning to soil in the drought area.

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“…In addition to natural forests, P. tabulaeformis is also regarded as a primary species for afforestation. Some studies have used the revised Gash model to simulate canopy interception of P. tabulaeformis forests in various areas, such as the tropics [26], the Mediterranean region [27], and semi-arid and arid regions [28,29]. In this region, however, the revised Gash model has mainly been applied to simulate natural forest canopy interception.…”

Section: Introductionmentioning

confidence: 99%

Canopy Interception of Different Rainfall Patterns in the Rocky Mountain Areas of Northern China: An Application of the Revised Gash Model

Qian

Shi

Zhao

et al. 2022

Forests

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Canopy interception is an important part of forest ecosystem hydrological processes. It is the first stage of water distribution when rainfall reaches the canopy and has an important impact on nutrient inputs and water exchange. Pinus tabulaeformis is a main tree species in the rocky mountain areas of Northern China, and it is also a primary species for artificial afforestation. In previous studies of canopy interception, applications of the revised Gash model did not take rainfall characteristics into account. Therefore, in this study, rainfall patterns were divided according to the local rainfall characteristics in the rocky mountainous areas of Northern China. Rainfall was divided into three patterns. Rain pattern A was the main rainfall type. Rainfall patterns B and C were two types of rainstorms. Next, the revised Gash model was used to simulate Pinus tabulaeformis plantations under different rainfall patterns. The results showed that the canopy interception rate of Pinus tabulaeformis plantations in this area ranged from 14.7% to 17.9%. The revised Gash model can be used to simulate Pinus tabulaeformis plantations in the rocky mountainous areas of Northern China, with good simulation results for more than 80% of the conventional rainfall patterns. Furthermore, the canopy interception effect of simulated cumulative rainfall events was better than the individual rainfall event. The simulation effect for special rainfall patterns was not good, so it is necessary to improve the model parameters or collect more rainfall samples. These results can be used to explore the applicability of the revised Gash model in Pinus tabulaeformis plantations in the rocky mountain areas of Northern China. They also demonstrate different applicability of the model under different rainfall characteristics.

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Needle-leaved trees impacts on rainfall interception and canopy storage capacity in an arid environment

Cited by 31 publications

References 45 publications

Spatial Variability and Optimal Number of Rain Gauges for Sampling Throughfall under Single Oak Trees during the Leafless Period

Spatial Variability and Optimal Number of Rain Gauges for Sampling Throughfall under Single Oak Trees during the Leafless Period

The contribution of understory and Compositae species to canopy storage capacity of semiarid grassland communities on the Loess Plateau

Canopy Interception of Different Rainfall Patterns in the Rocky Mountain Areas of Northern China: An Application of the Revised Gash Model

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