Next Article in Journal
Spatial Heterogeneity Analysis of the Driving Mechanisms and Threshold Responses of Vegetation at Different Regional Scales in Hunan Province
Previous Article in Journal
WLC-Net: A Robust and Fast Deep Learning Wood–Leaf Classification Method
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Water Conservation Capacity of Soil and Litter Layers of Five Magnoliaceae Plants in Hainan Island, China

1
Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants, Ministry of Education, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China
2
Engineering Research Center of Rare and Precious Tree Species in Hainan Province, Haikou 570228, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Forests 2025, 16(3), 514; https://doi.org/10.3390/f16030514
Submission received: 15 February 2025 / Revised: 6 March 2025 / Accepted: 13 March 2025 / Published: 14 March 2025
(This article belongs to the Section Forest Hydrology)

Abstract

:
Magnoliaceae plants have high ornamental value, resulting in their widespread use in landscaping construction, and play a major role in the ecological functions of soil and water conservation. However, the landscape value of magnolias from the perspective of the water conservation capacity of the litter and soil layers is not yet fully understood; this restricts the popularization and application of Magnoliaceae plants in landscaping. In this study, we determined the characteristics of the litter thickness and mass, water absorption process, and soil water-holding capacity associated with five Magnoliaceae plants (Michelia shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora). (1) The total litter thickness ranged from 2.29 to 5.58 cm, with M. crassipes achieving the highest value. The total litter mass for M. shiluensis (25.11 ± 2.58 t·ha−1) was largely greater than that for the other magnolias. The mass of the un-decomposed litter (UL) layer was 1.31- to 3.82-fold larger than that of the semi-decomposed litter (SL). (2) The maximum water retention capacity (Hmax) and effective water retention capacity (Heff) of M. shiluensis were markedly larger than those of the other magnolias. (3) The Wmax and Weff of the UL layer were greater than those of the SL layer. (4) The soil bulk density varied from approximately 1.22 ± 0.08 g·cm−3 to 1.55 ± 0.08 g·cm−3, and the total soil porosity varied from 40.03 ± 3.44% to 46.42 ± 1.02%. The soil bulk density rose with an increasing soil depth, yet the total porosity was reduced. The soil water-holding capacity of the 0–30 cm soil layer varied from approximately 26.23 to 70.33 t·ha−1, with soil near M. crassipes having the greatest water-holding capacity. The soil water infiltration recorded for M. crassipes was significantly higher than that of the other magnolias. The water conservation capacities associated with M. crassipes and M. shiluensis were the largest, which may suggest that these species are better at increasing rainfall interception, lightening splash erosion, and reducing surface runoff. Hence, we suggest that M. crassipes and M. shiluensis should be prioritized in landscaping applications.

1. Introduction

Magnoliaceae are an ancient lineage of relict plants [1] with a fossil record dating back 140 million years to the Cretaceous Period [2]. Once extensively distributed across a range of geological settings, magnolias are now mostly located in the tropical and subtropical zones of Asia and the Americas, including about 18 genera and over 300 species [1,3,4,5]. Magnoliaceae are pioneers among flowering plants [6,7] and are among the most typical examples of the evolution of the primitive angiosperms [8]. Integral to forest ecosystems, these plants hold significant scientific, ornamental, officinal, ecological, and economic value [9].
China serves as a considerable hub for the diverse Magnoliaceae family, having the greatest number of species, encompassing approximately 14 genera and over 165 species [1]. In addition to their use in landscaping, these plants serve as sources of spices, officinal resources, and industrial materials [10]. Previous studies have primarily focused on their geographical distribution, biological characteristics, domestication and introduction, genetic diversity and population structure, growth and physiological characteristics, and medicinal and ornamental applications [1,3,6,11,12,13,14,15,16]. Their beautiful shape and the pleasant appearance of their leaves and flowers make Magnoliaceae plants a treasure trove for landscaping. In their evaluation of ornamental Magnoliaceae, Fang et al. [17] found that Magnolia officinalis, Michelia maudiae, Yulania cylindrica, and Yulania amoena were excellent ornamental trees for landscaping, while Ma [18] found Michelia chapensis and Parakmeria lotungensis preferable. Similarly, Kong [19] recommended Michelia alba, Michelia champaca, and Manglietia hainanensis for landscaping. However, the landscape value of Magnoliaceae plants with regard to the water conservation capacity of the litter and soil layers is not yet fully understood, and only a limited number of studies have explored the differences in these plants’ water conservation capacity. Thus, the water conservation capacity of Magnoliaceae plants that are prioritized in landscaping applications should be further investigated.
The Hainan Tianxiang Magnolia Plant Conservation Research Center, which is devoted to the breeding of Magnoliaceae, was established in 2014. Covering an area of approximately 2000 ha, the center not only collects and preserves Magnoliaceae germplasm resources but also functions as a park space and provides both scientific education and ecological demonstrations. The center is home to six genera, more than 20 species, and more than 50,000 plants, including many plants that are on the IUCN Red List of Threatened Species, such as Manglietiastrum sinicum, Michelia shiluensis, Manglietia megaphylla, Manglietia aromatic, Manglietia forrestii, Tsoongiodendron odorum, Magnolia liliflora, etc. The Hainan Tianxiang Magnolia Plant Conservation Research Center supplies many ornamental seedlings for landscaping purposes, such as Michelia shiluensis, which is a species endemic to Hainan. In particular, Magnoliaceae species from the Michelia genus have the most landscaping applications in gardens, courtyards, campuses, and so on, and the water conservation capacity of the litter and soil layers in the Michelia genus remains poorly understood.
In this study, five Magnoliaceae species from the Michelia genus (Michelia shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora) at the Hainan Tianxiang Magnolia Plant Conservation Research Center were surveyed. We quantified the five Magnoliaceae plants’ litter thickness, litter mass, soil porosity, water absorption process, soil water-holding capacity, and soil infiltration and then synthetically assessed the water conservation capacity using the entropy weight method. Our aim was to illustrate the differences in the water conservation capacity of the litter and soil layers of Magnoliaceae plants and to provide a theoretical basis and practical significance for selecting ornamental tree species for landscaping.

2. Materials and Methods

2.1. Study Sites

This study was conducted at the Hainan Tianxiang Magnolia Plant Conservation Research Center (19°48′~19°50′ N, 109°67′~109°69′ E) (Figure 1) in Lanyang Town, Danzhou City, Hainan Province, China. The region is located in the tropics and belongs to a tropical monsoon climate; the annual average temperature is 23.5 °C, and the mean annual rainfall is around 1823 mm. The soils are typical latosols. Various Magnoliaceae plants, such as Michelia shiluensis, Michelia crassipes, Michelia foveolata, Michelia maudiae, Michelia odora, etc., were introduced to the study area, with a planting density of 400 trees·ha−1.

2.2. Litter and Soil Sample Collection

Field sampling was conducted for the five Magnoliaceae Michelia species (M. shiluensis, M. crassipes, M. foveolata, M. maudiae, M. odora) in mid-January 2021. According to the Chinese National Standard (GB/T 33027-2016) [20], three 20 m × 20 m plots were established for each plant species. Table 1 shows the basic information of the sampling plots. We sampled the semi-decomposed litter (SL layer) and un-decomposed litter (UL layer) in 0.5 m × 0.5 m quadrats, with five quadrats randomly selected for each plot. We collected a total of 150 litter bags (5 species × 3 plots × 5 quadrats × 2 litter layers). Meanwhile, we recorded the litter thickness. Furthermore, we sampled soil samples according to soil profiles at 0 to 10 cm, 10 to 20 cm, and 20 to 30 cm layers using the cutting ring (100 cm3) method. Three soil profiles were randomly selected within each plot, and for each soil layer, we collected two cutting rings. We obtained a total of 270 soil samples (5 species × 3 plots × 3 soil profiles × 3 soil layers × 2 cutting rings).

2.3. Laboratory Analyses

Upon the receipt of the litter samples, the mass of the fresh litter (mf) was determined in the field and the amount of litter mass (m0) was measured via drying at 75 °C in the lab [21]. The indoor water soaking method was used to evaluate the litter water-holding capacity [22,23], which involved soaking the litter in water for a period of time, which was set to 0.25, 0.5, 1, 2, 4, 6, 8, 12, and 24 h. The maximum water-holding capacity of the litter (Gm) was calculated as follows [22,23]:
G0 = (mfm0)/m0 × 100
Gm = (m24m0)/m0 × 100
where G0 is the litter water-holding capacity under a natural environment (%), Gm is the litter’s maximum water-holding capacity (%), and m0, mf, and m24 are the dry litter mass, fresh litter mass, and the litter mass after soaking for 24 h, respectively.
The litter water retention capacity was calculated as follows [22,23,24]:
Heff = (0.85GmG0) × M
Hmax = (GmG0) × M
where Heff is the effective water retention capacity (t·ha−1), Hmax is the maximum water retention capacity (t·ha−1), and M is the unit litter mass (t·ha−1).
The physical properties of the soil samples were determined. The soil water content was determined by the oven-drying method, and the soil’s porosity was determined by the cutting ring method according to the Forestry Industry Standard of the People’s Republic of China (LY/T 1215-1999) [25]. The soil water-holding capacity was calculated as follows [26,27]:
S = dp × 10,000
where S is the soil water-holding capacity (t·ha−1), d is the thickness of the soil layer (m), and p is the soil non-capillary porosity (%).
The soil infiltration rate was determined according to Hu et al. [28].

2.4. Synthetic Assessment of Water Conservation Capacity

We quantified the water conservation capacity of the soil layer and litter layer in five Magnoliaceae plants according to the entropy weight method (EWM). The calculation procedures were as follows: step 1: construct a decision matrix; step 2: raw data standardization; step 3: calculate the feature weight; step 4: calculate the entropy; step 5: calculate the weight parameters; and step 6: calculate the water conservation capacity [26,29,30,31].
W C C = I = 1 m W i   p i j
where WCC is the water conservation capacity index, Wi is the weight parameter of the jth indicator of the ith object, and pij is the feature weight of the jth indicator of the ith object.

2.5. Statistical Analysis

The analyses were completed with SPSS v. 18.0 (SPSS Inc., Chicago, IL, USA). A one-way analysis of variance (ANOVA) was used to analyze the differences in the water conservation capacity of the litter layer and soil layer. The least significant differences (LSDs) were measured for multiple comparisons. A figure plot was created using Origin 2021 software (Origin, Origin Lab, Farmington, ME, USA).

3. Results

3.1. The Litter Thickness and Mass Associated with the Five Magnoliaceae Plants

We identified dramatic differences in the litter thickness among the five Michelia Magnoliaceae plants (p < 0.05) (Figure 2A), which were dependent on the plants’ differing biological characteristics (p < 0.05). M. crassipes had the greatest total litter thickness (5.58 ± 0.58 cm), followed by M. shiluensis (3.58 ± 0.45 cm), M. odora (3.57 ± 0.67 cm), M. maudiae (2.43 ± 0.47 cm), and M. foveolata (2.29 ± 0.32 cm). The thickness of the UL layers in the five magnolias was greater than that of their SL layers (p < 0.05).
We also found notable differences in the litter mass in the two litter layers in the five magnolias (p < 0.05) (Figure 2B). M. shiluensis had the highest total litter mass (25.11 ± 2.58 t·ha−1), which was markedly larger than that of M. crassipes (15.76 ± 3.29 t·ha−1), M. foveolata (12.05 ± 1.77 t·ha−1), M. maudiae (6.65 ± 0.59 t·ha−1), and M. odora (6.27 ± 0.44 t·ha−1) (p < 0.05). The litter masses of the UL layer and SL layer decreased in the order of M. shiluensis > M. crassipes > M. foveolata > M. maudiae > M. odora (p < 0.05). The UL mass accounted for 79.41 ± 2.14% of the total litter mass in M. shiluensis, 70.39 ± 3.18% in M. crassipes, 64.09 ± 2.05% in M. foveolata, 59.41 ± 3.11% in M. maudiae, and 56.36 ± 1.96% in M. odora. The UL-layer litter mass was higher than that of the SL layer in all five magnolias (p < 0.05) (Figure 2B).

3.2. Gm, Heff, and Hmax

The Gm in the SL layer was 429.60% ± 15.54% for M. crassipes and was not significantly different from that of M. odora (416.51% ± 16.35%) (Figure 3A). However, both were significantly greater than those of M. maudiae (383.87% ± 7.55%), M. shiluensis (351.91% ± 41.96%), and M. foveolata (282.76% ± 23.55%) (p < 0.05). The Gm of the UL layer varied from 298.20% ± 23.14% to 406.24% ± 20.37%, and no significant difference was found between M. crassipes and M. odora or between M. shiluensis, M. foveolata, and M. maudiae (p > 0.05). However, the Gm of the UL layer of M. crassipes and M. odora was larger than that of M. shiluensis, M. foveolata, and M. maudiae, and the Gm of the SL layer was higher than that of the UL layer in M. shiluensis, M. crassipes, M. maudiae, and M. odora, while the opposite trend was discovered for M. foveolata. The Gm of M. crassipes was 417.17% ± 13.33%, which was roughly equivalent to that of M. odora (411.38% ± 14.59%); both Gm values were significantly greater than those of M. maudiae (345.61% ± 15.13%), M. shiluensis (330.66% ± 20.80%), and M. foveolate (290.48% ± 12.99%) (p < 0.05).
The Hmax differed considerably among the five Magnoliaceae plants (p < 0.05) (Figure 3B). The Hmax of M. shiluensis was 79.90 ± 5.62 t·ha−1, higher than that of M. crassipes (64.96 ± 5.16 t·ha−1) and obviously higher than that of M. foveolata (35.26 ± 4.17 t·ha−1), M. odora (25.75 ± 2.59 t·ha−1), and M. maudiae (22.51 ± 2.03 t·ha−1) (p < 0.05). The Hmax of the SL layer was 20.32 ± 2.12 t·ha−1 for M. crassipes, 18.30 ± 2.89 t·ha−1 for M. shiluensis, 12.27 ± 1.07 t·ha−1 for M. foveolata, 11.29 ± 1.23 t·ha−1 for M. odora, and 10.40 ± 1.32 t·ha−1 for M. maudiae, exhibiting dramatic differences (p < 0.05). In addition, the Hmax values of the UL layer decreased in the order of M. shiluensis > M. crassipes > M. foveolata > M. odora > M. maudiae (p < 0.05), ranging from 12.11 ± 2.01 t·ha−1 to 61.60 ± 5.46 t·ha−1. The Hmax of the UL layer was 1.16- to 3.37-fold greater than the Hmax of the SL layer in the five Magnoliaceae plants (p < 0.05).
The trend of the Heff in the five Magnoliaceae plants was similar to that of the Hmax, and the Heff differed remarkably among the five Magnoliaceae plants (p < 0.05) (Figure 3C). The Heff of M. shiluensis was 54.00 ± 4.97 t·ha−1, which was greater than the 48.47 ± 4.74 t·ha−1 of M. crassipes, the 24.50 ± 4.82 t·ha−1 of M. foveolata, the 20.40 ± 2.04 t·ha−1 of M. odora, and the 15.86 ± 1.48 t·ha−1 of M. maudiae (p < 0.05). M. shiluensis had the highest holding capacity, equal to 5.40 mm of rainfall, with 4.85 mm intercepted by M. crassipes, 2.45 mm by M. foveolata, 2.04 mm by M. odora, and 1.59 mm by M. maudiae. The SL layer Heff did not differ considerably between M. crassipes (14.90 ± 1.86 t·ha−1) and M. shiluensis (12.56 ± 2.14 t·ha−1) (p > 0.05), but the findings were all significantly higher than those for M. foveolata (8.05 ± 1.51 t·ha−1), M. maudiae (7.26 ± 1.26 t·ha−1), and M. odora (8.77 ± 0.80 t·ha−1) (p < 0.05). The Heff in the UL layer decreased in the order of M. shiluensis > M. crassipes > M. foveolata > M. odora > M. maudiae (p < 0.05) and varied from 8.60 ± 0.98 t·ha−1 to 41.44 ± 3.43 t·ha−1. The UL layer Heff was 1.18- to 3.30-fold greater than the SL layer Weff in the five Magnoliaceae plants (p < 0.05).

3.3. Litter Water-Holding Ratio

The water-holding ratio of the SL-layer litter and the UL-layer litter showed the same tendency, which was that it increased with the immersion time. Within the first 2 h, the litter’s water-holding ratio was at its largest; after that, the process began to slow, and complete saturation was achieved at 24 h (Figure 4). The water-holding ratio of the SL-layer litter was relatively higher than that of the UL layer subjected to the same immersion time. In the experiment for water immersion for 0.25 h, the water-holding ratios of the SL layers reached 6.67 t·ha−1, 7.83 t·ha−1, 4.66 t·ha−1, 7.33 t·ha−1, and 8.85 t·ha−1 for M. shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora, respectively, while the water-holding ratios of the UL layers reached 4.92 t·ha−1, 6.33 t·ha−1, 4.76 t·ha−1, 3.35 t·ha−1, and 5.77 t·ha−1 for M. shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora, respectively (Figure 4). In general, the water-holding ratio of the UL-layer litter decreased in the following order: M. crassipes > M. odora > M. shiluensis > M. foveolata > M. maudiae. Moreover, the water-holding ratio of the SL-layer litter decreased in the following order: M. crassipes > M. odora > M. maudiae > M. shiluensis > M. foveolata. The water-holding ratio and the immersion times for UL- and SL-layer litter from the five magnolias showed a logarithmic relationship.

3.4. Litter Water Absorption Rates

Both the SL-layer and UL-layer litter water absorption rates were observed to show the same tendency, with most of the absorption occurring at the beginning of immersion and declining rapidly within the first 2 h, gradually slowing between 2 and 12 h, and then exhibiting very little change after 12 h (Figure 5). The SL-layer litter water absorption rate was higher than that of the UL layer at the same time. After 1 h, the SL layer water absorption rates were 7.41 t·ha−1·h−1, 10.16 t·ha−1·h−1, 5.63 t·ha−1·h−1, 8.55 t·ha−1·h−1, and 9.78 t·ha−1·h−1 for M. shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora, respectively (Figure 5b,d,f,h,j), while the UL layer water absorption rates were 6.12 t·ha−1·h−1, 8.44 t·ha−1·h−1, 5.78 t·ha−1·h−1, 4.45 t·ha−1·h−1, and 7.48 t·ha−1·h−1 for M. shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora, respectively (Figure 5a,c,e,g,i). We observed an exponential relationship between the water absorption rate and the immersion time for UL- and SL-layer litter in the five magnolias.

3.5. Soil Water-Holding Capacity

The soil bulk density rose with an increasing soil depth, yet the total porosity was reduced near all five Magnoliaceae plants, and no significant differences were observed (p > 0.05). Within the 0 to 30 cm soil layer, the soil bulk density ranged from 1.22 ± 0.08 g·cm−3 to 1.55 ± 0.88 g·cm−3, with the largest value recorded for M. maudiae, followed by M. odora, M. shiluensis, M. foveolata, and M. crassipes (Table 2). The non-capillary porosity of the soil near M. maudiae was 2.62 ± 1.27% lower than that of the other magnolias (p < 0.05), which achieved non-capillary porosities of 6.81 ± 4.59%, 5.51 ± 1.25%, 7.03 ± 0.88%, and 5.28 ± 3.88% for M. shiluensis, M. crassipes, M. foveolata, and M. odora, respectively. The capillary porosity ranged from 35.58 ± 5.57% to 40.91 ± 0.30%, with the largest value recorded for M. crassipes. The total soil porosity was 42.40 ± 1.51%, 46.42 ± 1.02%, 45.16 ± 5.08%, 40.03 ± 3.44%, and 42.92 ± 6.84% near M. shiluensis, M. crassipes, M. foveolata, M. maudiae, and M. odora, respectively (Table 2). Again, no significant differences regarding the soil capillary porosity and total soil porosity were observed (p > 0.05). The soil water-holding capacity near M. foveolata displayed greater values for the 0 to 30 cm soil profile, while M. maudiae had the minimum value. The soil water-holding capacity decreased as follows: M. crassipes (70.33 t·ha−1) > M. shiluensis (68.12 t·ha−1) > M. foveolata (55.09 t·ha−1) > M. odora (52.83 t·ha−1) > M. maudiae (26.23 t·ha−1) (p < 0.05) (Table 2).

3.6. Variations in Soil Infiltration

The soil infiltration rate was highest at the beginning of the infiltration and gradually declined until it reached a steady state, which occurred in tandem with an increase in the infiltration time (Figure 6). Remarkable differences were observed in the five Magnoliaceae plants (p < 0.05). The soil infiltration rate near M. crassipes was significantly greater than that recorded for M. shiluensis, M. maudiae, and M. odora, which exhibited no significant differences, and higher than that for M. foveolata (p < 0.05) (Figure 6). The initial soil infiltration decreased in the following order: M. crassipes (5.49 mm·min−1) > M. maudiae (3.84 mm·min−1) > M. odora (3.33 mm·min−1) > M. shiluensis (2.86 mm·min−1) > M. foveolata (2.24 mm·min−1) (p < 0.05). Moreover, the steady soil infiltration decreased in the following order: M. crassipes (3.18 mm·min−1) > M. odora (2.09 mm·min−1) > M. maudiae (1.90 mm·min−1) > M. shiluensis (1.81 mm·min−1) > M. foveolata (1.35 mm·min−1) (p < 0.05). The soil near M. maudiae was the first to achieve steady infiltration, with a 28 min duration, while the soil near M. shiluensis had the longest steady soil infiltration time (42 min). We observed an exponential relationship between the soil infiltration rate and the infiltration time in UL- and SL-layer litter for the five magnolias.

3.7. Water Conservation Capacity

The water conservation capacities of the five Magnoliaceae plants were determined by the EWM, and the indexes of the litter and soil layers were selected; the litter indexes included the litter thickness, litter mass, Gm, Heff, and Hmax, while the soil layer indexes included the bulk density, capillary porosity, total porosity, soil water-holding capacity, and soil infiltration. The weighted value of each index was assessed, and the values varied from 0.0613 to 0.1427 (Table 3), and the weighted values were ordered as follows: litter mass > Hmax > litter thickness > Heff > soil infiltration > Gm > capillary porosity > total porosity > bulk density > soil water-holding capacity. The values for the litter layer were 1.60 times heavier than those of the soil layer.
The synthetically assessed value of the water conservation capacity of the litter layer was greater than that of the soil layer near M. shiluensis and M. crassipes, whereas the opposite tendency was observed for M. foveolata, M. maudiae, and M. odora. M. crassipes indicated the highest water conservation capacity (0.3422), followed by M. shiluensis (0.2932), M. foveolata (0.1790), M. odora (0.1455), and finally M. maudiae, which had the lowest (0.0543) (Table 4).

4. Discussion

The water conservation capacity of litter and soil layers plays a major role in regulating the water cycle [23,26,31,32,33] and can have a remarkable impact on the forest ecosystem water budget [34,35,36]. The litter layer has a role in intercepting rainfall, lightening the effects of raindrops splashing, and reducing surface runoff via soil infiltration [36,37,38]. Previous studies have indicated that a thick litter layer protects the soil structure from rain while effectively improving the soil’s water conservation capacity [22,35,39,40]. The litter thickness and mass vary among species, influencing their hydrological characteristics [22,29,35,39]. In this study, we observed that the litter thickness varied from 2.29 to 5.58 cm, and the litter mass ranged from approximately 6.27 to 25.11 t·ha−1. M. crassipes and M. shiluensis achieved the best results, suggesting that these species significantly reduce evaporation compared to other Magnoliaceae plants. The UL-layer litter thickness beneath the five magnolias was higher than the thickness of the SL layer, indicating that the litter decomposition rate was slow in these plants. This may be attributed to the thick, leathery quality of their leaves, which have a relatively slow decomposition rate. Moreover, the significant differences in the litter mass between the SL and UL layers in the magnolias were also observed (p < 0.05), with M. shiluensis exhibiting an exceptionally large litter mass, which indicates that it is favorable for rainfall interception. The UL-layer litter mass accounted for 56.36%~79.41% of the total litter mass, which was higher than that of the SL layer, in agreement with our predecessors’ research [22,23,24,41,42]. However, the rainfall intercepted by M. shiluensis litter is likely to evaporate back into the atmosphere before infiltration [33,37,43]. This may mean that we need to conduct a long-term in situ survey of the litter water-holding capacity under natural rainfall [23,29].
The maximum water-holding capacity Gm defines the greatest effectiveness per unit of litter mass with regard to water retention [22,24,44]. Variations in Gm are affected by the forest structure, litter composition, and litter decomposition characteristics [43,45,46]. In this study, the Gm varied from 290.48% ± 12.99% to 411.38% ± 14.59%, meaning that the litter absorbed about 2.90 to 4.11 times its own dry weight in water. M. foveolata litter had the smallest Gm, whereas M. crassipes had the largest. This variation may have been due to the diversification of the litter’s composition, which may have included differing quantities of leaves, dead branches, and seeds [23,29,41]. In addition, the Gm of the SL layer was larger than that of the UL layer, concurring with the findings of Tu et al.’s study [29]. This may be attributed to a higher degree of fragmentation in the SL layer and the presence of fewer dead branches in the study area [23,29,41,42].
The maximum water retention capacity Hmax depends on the natural water content of the litter mass and also the natural rainfall [37,47]. In our study, the Hmax recorded for M. shiluensis litter was remarkably higher than that of the other magnolias. This may have beeen due to M. shiluensis having the larger litter mass, which may have bolstered its effectiveness compared with the other magnolias. This is consistent with previous studies, which suggested that the Hmax depends on litter storage [22,35,41]. We also found that the Hmax of the UL layer was 1.16 to 3.37 times higher than that of the SL due to a greater litter mass. These findings align with those of Li et al. [23], Wu et al. [41], and Tang et al. [42].
The Heff defines the effective water retention capacity, which is used to evaluate the rainfall absorption potential [29,43,48]. The Heff is also influenced by the litter’s natural water content, litter mass, and rainfall intensity [29,33,43]. Our study observed that the Heff differed remarkably among the five magnolias (p < 0.05), and the Heff of M. shiluensis litter was higher than that of the other plants. M. shiluensis litter had a greater capacity for reducing surface runoff and exhibited the greatest water retention capacity and a better rainfall interception ability [35,40,49]. As such, this plant contributes to improving soil and water conservation [29,41].
Litter water-holding processes reflect the hydrological characteristics of the forest’s litter [22,45]. The rapid water absorption rates observed at the beginning of the experiment gradually decreased until the 12 h mark and remained almost unchanged thereafter, likely due to the drier litter showing lower matric water potential at the beginning of the experiment. Previous studies also observed the same dynamic change in the trend of the litter water-holding ratio recorded [22,26,29,31]. In addition, the UL layer water-holding ratio was higher than that of the SL layer, which may have been due to the greater litter mass of the UL layer [41,42].
The soil water-holding capacity of the forest ecosystem is a key part of water conservation and also plays an important role in regulating hydrological processes [23,29,35,41,50]. The soil’s water-holding capacity directly affects the surface runoff and soil infiltration [23,26,41,42]. The soil’s hydrophysical properties are important factors and likely depend on the soil’s bulk density, soil structure, and soil porosity [40]. In our study, the soil bulk density varied from 1.22 g·cm−3 to 1.55 g·cm−3, and the total soil porosity varied from 40.03% to 46.42%. Generally, the soil bulk density rose as the soil depth increased, while the total soil porosity showed a gradual decrease; this finding was consistent with previous research [23,29,41,42]. A lower soil bulk density was associated with greater soil porosity and improved the water-holding capacity associated with M. crassipes (70.33 t·ha−1), which achieved a capacity 1.03-, 1.27-, 1.33-, and 2.68-fold higher than that recorded for M. shiluensis, M. foveolata, M. odora, and M. maudiae, respectively. The soil infiltration is another important indicator of soil’s hydrological properties [41,42]. The soil infiltration near M. crassipes was significantly greater than that near the other magnolias, indicating that M. shiluensis litter has a greater capacity to reduce surface runoff and enhance infiltration, contributing to improved rainfall interception [33,41,42]. Further studies should focus on the soil’s microbiological properties to improve our understanding of differences in the water-holding capacity among different plant species, specifically with regard to soil enzyme activities and microbe communities.
The water conservation capacity of the litter layer was 1.60 times larger than that of the soil layer, contradicting the findings of research by our predecessors Bai et al. [26] in 2021 and Tu et al. [29] in 2023. The soils associated with M. crassipes and M. shiluensis had the greatest water-holding capacity, as demonstrated by the larger water-holding and interception capacities of the litter and soil layers, which allowed M. crassipes and M. shiluensis to conserve more water. Our results suggest that, from a water conservation perspective, M. crassipes and M. shiluensis should take priority in landscaping and other ecological services.

5. Conclusions

In addition to their strong ornamental value, Magnoliaceae plants play a major role in soil and water conservation. We studied the water conservation capacity of the litter and soil layers near five Magnoliaceae plants and found that the total litter thickness and total litter mass in M. crassipes and M. shiluensis were largely greater than those for the other magnolias. The Hmax and Heff were markedly larger in M. crassipes and M. shiluensis, meaning that M. crassipes and M. shiluensis litter had far greater water-holding capacities than the litter of the other magnolias, with the UL layer having a higher capacity than the SL layer. In addition, a lower soil bulk density was associated with greater porosity near M. crassipes and M. shiluensis, representing a higher soil water-holding capacity and higher soil infiltration, thus reducing the loss of surface water. The water conservation capacity of the litter layer was 1.60 times larger than that of the soil layer. M. crassipes and M. shiluensis had the greatest water-holding capacities, offering the greatest potential for improvement in this area. In summary, we suggest that M. crassipes and M. shiluensis should be prioritized in future landscaping applications.

Author Contributions

Conceptualization, Y.H. (Yanping Huang) and Z.T.; methodology, Y.H. (Yanping Huang) and Z.T.; validation, Z.T., Y.H. (Yanping Huang), and Y.H. (Yujie Han); formal analysis, Y.H. (Yanping Huang) and Z.T.; investigation, Z.T., Y.H. (Yanping Huang), Y.H. (Yujie Han), R.M., K.W., Y.Y., Y.F., M.X., Y.Z., and L.W.; data curation, Y.H. (Yanping Huang), Y.H. (Yujie Han), R.M., and Z.T.; writing—original draft preparation, Y.H. (Yanping Huang), Y.H. (Yujie Han), and Z.T.; writing—review and editing, Y.H. (Yanping Huang) and Z.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Hainan Provincial Natural Science Foundation of China, grant number 420RC532, and the Fund of the Department of Water Resources of Hainan Province, grant numbers HD-KYH-2023371 and HD-KYH-2023201.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors wish to thank the Hainan Tianxiang Magnolia Plant Conservation Research Center for providing support and assistance during the field sampling. We thank the reviewers and the editor for their valuable work and comments.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Yao, W.; Fan, Y.; Wang, Z.; Liu, D.; Ding, Z.; Ou, J. Diversity and geographic distribution patterns of wild Magnoliaceae Species in China. Sustainability 2024, 16, 9448. [Google Scholar] [CrossRef]
  2. Azuma, H.; Toyota, M.; Asakawa, Y. Intraspecific variation of floral scent chemistry in Magnolia kobus DC. (Magnoliaceae). J. Plant Res. 2001, 114, 411–422. [Google Scholar] [CrossRef]
  3. Xie, H.; Tang, Y.; Fu, J.; Chi, X.; Du, W.; Dimitrov, D.; Liu, J.; Xi, Z.; Wu, J.; Xu, X. Diversity patterns and conservation gaps of Magnoliaceae species in China. Sci. Total Environ. 2022, 813, 152665. [Google Scholar] [CrossRef]
  4. Editorial Committee of Flora of China; Chinese Academy of Sciences. (Eds.) Flora of China; Science Press: Beijing, China, 1996; Volume 30, pp. 82–85. [Google Scholar]
  5. Shi, X.D.; Yin, Q.; Sang, Z.Y.; Zhu, Z.L.; Jia, Z.K.; Ma, L.Y. Prediction of Potentially suitable areas for the introduction of Magnolia wufengensis under climate change. Ecol. Indic. 2021, 127, 107762. [Google Scholar] [CrossRef]
  6. Gong, X.; Shi, S.; Pan, Y.; Huang, Y.; Yin, Q. An observation on the main taxonomic characters of subfamiliy Magnolioideae in China. Acta Bot. Yunnanica 2003, 25, 447–456. [Google Scholar]
  7. Mu, N.; Zhu, K.; Li, S.; Dong, J.; Dong, Z.; Xiao, N. Discovery of Magnoliaceae taxa and its research progress in China. J. Anhui Agric. Sci. 2022, 50, 222–226. (In Chinese) [Google Scholar] [CrossRef]
  8. Zhang, B. Floral analysis of Magnoliaceae. Guihaia 2001, 21, 315–320. [Google Scholar]
  9. Wu, Z.; Lu, A.; Tang, Y.; Chen, Z.; Li, D. The Families and Genera of Angiosperms in China a Comprehensive Analysis; Science Press: Beijing, China, 2003; pp. 57–68. [Google Scholar]
  10. Sima, Y.; Wang, J.; Cao, L.; Wang, B.; Wang, Y. Prefoliation Features of the Magnoliaceae and their systematic significance. J. Yunnan Univ. Nat. Sci. Ed. 2001, 23, 71–78. [Google Scholar]
  11. Yang, F.; Cai, L.; Dao, Z.; Sun, W. Genomic data reveals population genetic and demographic history of Magnolia fistulosa (Magnoliaceae), a plant species with extremely small populations in Yunnan Province, China. Front. Plant Sci. 2022, 13, 811312. [Google Scholar] [CrossRef]
  12. Xiao, Y.; Jiang, X.; Lu, C.; Liu, J.; Diao, S.; Jiang, J. Genetic Diversity and population structure analysis in the Chinese endemic species Michelia crassipes based on SSR markers. Forests 2023, 14, 508. [Google Scholar] [CrossRef]
  13. Hwarari, D.; Guan, Y.; Li, R.; Movahedi, A.; Chen, J.; Yang, L. Comprehensive bioinformatics and expression analysis of TCP transcription factors in Liriodendron chinense reveals putative abiotic stress regulatory roles. Forests 2022, 13, 1401. [Google Scholar] [CrossRef]
  14. Deng, S.; Shi, K.; Ma, J.; Zhang, L.; Ma, L.; Jia, Z. Effects of fertilization ratios and frequencies on the growth and nutrient uptake of Magnolia wufengensis (Magnoliaceae). Forests 2019, 10, 65. [Google Scholar] [CrossRef]
  15. Zhao, X.; Tian, L.; Zhu, Z.; Sang, Z.; Ma, L.; Jia, Z. Growth and physiological responses of Magnoliaceae to NaCl Stress. Plants 2024, 13, 170. [Google Scholar] [CrossRef] [PubMed]
  16. Yang, D.; Ma, D.; Song, Z.; Yang, M.; Xu, Y. The Composition, antioxidant and antibacterial activity of essential oils from five species of the Magnoliaceae Family. Molecules 2024, 29, 5182. [Google Scholar] [CrossRef]
  17. Fang, X.C.; Wang, P.; Zhang, X.Y.; Kong, L.L.; Wen, W.; Wang, L.Y.; Ye, D. Resources and evaluation of wild ornamental plants of Magnoliaceae in Zhejiang Province. Chin. J. Trop. Crops 2018, 39, 1513–1518. [Google Scholar] [CrossRef]
  18. Ma, B. Comprehensive Evaluation of Ornamental and Drought Resistance Characteristics of Five Magnoliaceae Plants. Master’s Thesis, Central South University of Forestry and Technology, Changsha, China, 2020. [Google Scholar] [CrossRef]
  19. Kong, Y.Y. Resources Evaluation of Magnoliaceae in Hainan Island and Construction of Magnoliaceae Plant Garden. Master’s Thesis, Hainan University, Haikou, China, 2018. [Google Scholar]
  20. GB/T 33027-2016; Methodology for Field Long-Term Observation of Forest Ecosystem. Standardization Administration of the People’s Republic of China: Beijing, China, 2016.
  21. Li, N.; Zhang, Y.; Wang, T.W.; Li, J.W.; Yang, J.W.; Luo, M.Y. Have anthropogenic factors mitigated or intensified soil erosion over the past three decades in South China? J. Environ. Manag. 2022, 302, 114093. [Google Scholar] [CrossRef]
  22. Chen, S.; Cao, T.; Tanaka, N.; Gao, T.; Zhu, L.; Zou, C. Hydrological properties of litter layers in mixed forests in Mt. Qinling, China. iForest 2018, 11, 243–250. [Google Scholar] [CrossRef]
  23. Li, Y.; Li, B.; Zhang, X.; Chen, J.J.; Zhan, F.D.; Guo, X.H.; Zu, Y.Q. Differential water and soil conservation capacity and associated processes in four forest ecosystems in Dianchi Watershed, Yunnan Province, China. J. Soil Water Conserv. 2015, 70, 198–206. [Google Scholar] [CrossRef]
  24. Zhou, Q.; Keith, D.M.; Zhou, X.; Cai, M.; Cui, X.; Wei, X.; Luo, Y. Comparing the water-holding characteristics of broadleaved, coniferous, and mixed forest litter layers in a Karst Region. Mt. Res. Dev. 2018, 38, 220–229. [Google Scholar] [CrossRef]
  25. LY/T 1215-1999; Determination of Forest Soil Water-Physical Properties. State Forestry Administration of the People’s Republic of China: Beijing, China, 1999.
  26. Bai, Y.X.; Zhou, Y.C.; Zhang, X.Y.; Du, J.J. Water conservation capacity of litter and soil in mixed plantation of Pinus massoniana and Broadleaved Trees. Sci. Silvae Sin. 2021, 57, 24–36. (In Chinese) [Google Scholar] [CrossRef]
  27. Cheng, H.; Fu, Y.; Dong, H.; Hu, X.; Huang, C.; Liu, Y.; Che, M.; Fu, W.; Gong, Y. Physical and chemical properties of soil and the hydrological effects of different vegetation types in the central Sichuan hilly region. Chinese J. Appl. Environ. Biol. 2019, 25, 845–853. [Google Scholar] [CrossRef]
  28. Hu, S.J.; Tian, C.Y.; Song, Y.D.; Gan, Y.D. Determination and calculation of soil permeability coefficient. Trans. CSAE 2011, 27, 68. [Google Scholar] [CrossRef]
  29. Tu, Z.; Chen, S.; Chen, Z.; Ruan, D.; Zhang, W.; Han, Y.; Han, L.; Wang, K.; Huang, Y.; Chen, J. Hydrological properties of soil and litter layers of four forest types restored in the gully erosion area of Latosol in South China. Forests 2023, 14, 360. [Google Scholar] [CrossRef]
  30. Shi, Q.; Zhang, F.; Chen, Y.; Hu, Z. Optimal kinematics design of macpherson suspension: Integrated use of grey relational analysis and improved entropy weight method. J. Harbin Inst. Technol. 2022, 29, 41–51. [Google Scholar]
  31. Cheng, C.; He, K.N.; Yu, G.F.; Chai, S.X. Comparative study on water conservation capacity of different forest types of artificial forest in arid and semi-arid area. Acta Ecol. Sin. 2021, 41, 1979–1990. (In Chinese) [Google Scholar] [CrossRef]
  32. Keith, D.M.; Johnson, E.A.; Valeo, C. A hillslope forest floor (duff) water budget and the transition to local control. Hydrol. Process. 2010, 24, 2738–2751. [Google Scholar] [CrossRef]
  33. Neris, J.; Tejedor, M.; Rodríguez, M.; Fuentes, J.; Jiménez, C. Effect of forest floor characteristics on water repellency, infiltration, runoff and soil loss in Andisols of Tenerife (Canary Islands, Spain). Catena 2013, 108, 50–57. [Google Scholar] [CrossRef]
  34. Dong, H.; Yang, C.; Su, C.; Cao, H. Litter and soil hydrological effects of five no-commercial forests in Dongguan. J. Soil Water Conserv. 2021, 35, 144–149, 160. (In Chinese) [Google Scholar] [CrossRef]
  35. Wang, C.; Zhao, C.; Xu, Z.; Wang, Y.; Peng, H. Effect of vegetation on soil water retention and storage in a semi-arid alpine forest catchment. J. Arid Land 2013, 5, 207–219. [Google Scholar] [CrossRef]
  36. Dunkerley, D. Percolation through leaf litter: What happens during rainfall events of varying intensity? J. Hydrol. 2015, 525, 737–746. [Google Scholar] [CrossRef]
  37. Sato, Y.; Kumagai, T.O.; Kume, A.; Otsuki, K.; Ogawa, S. Experimental analysis of moisture dynamics of litter layers—The effects of rainfall conditions and leaf shapes. Hydrol. Process. 2004, 18, 3007–3018. [Google Scholar] [CrossRef]
  38. Sun, J.; Yu, X.; Wang, H.; Jia, G.; Zhao, Y.; Tu, Z.; Deng, W.; Jia, J.; Chen, J. Effects of forest structure on hydrological processes in China. J. Hydrol. 2018, 561, 187–199. [Google Scholar] [CrossRef]
  39. Gomyo, M.; Kuraji, K. Effect of the litter layer on runoff and evapotranspiration using the paired watershed method. J. Forest Res. 2016, 21, 306–313. [Google Scholar] [CrossRef]
  40. Ilek, A.; Szostek, M.; Mikołajczyk, A.; Rajtar, M. Does mixing tree species affect water storage capacity of the forest floor? Laboratory test of pine-oak and fir-beech litter layers. Forests 2021, 12, 1674. [Google Scholar] [CrossRef]
  41. Wu, X.; Liu, L.; Zhang, H.; Sun, L.; Yan, X.; Dong, X.; Yao, Y. Litter water-holding capacity and soil physical properties of main afforestation tree species in sand stone area. J. Soil Water Conserv. 2020, 34, 137–144. (In Chinese) [Google Scholar] [CrossRef]
  42. Tang, S.; Zhang, J.; Pu, X.; Shi, P.; Meng, C.; Gong, Y. Hydrological effects of forest litters and soil in Guansi River Watershed. J. Northeast Forestry Univ. 2014, 42, 50–53. (In Chinese) [Google Scholar] [CrossRef]
  43. Acharya, B.S.; Stebler, E.; Zou, C.B. Monitoring litter interception of rainfall using leaf wetness sensor under controlled and field conditions. Hydrol. Process. 2017, 31, 240–249. [Google Scholar] [CrossRef]
  44. Zagyvai-Kiss, K.A.; Kalicz, P.; Szilágyi, J.; Gribovszki, Z. On the specific water holding capacity of litter for three forest eco-systems in the eastern foothills of the Alps. Agr. Forest Meteorol. 2019, 278, 107656. [Google Scholar] [CrossRef]
  45. Pereira, L.C.; Balbinot, L.; Lima, M.T.; Bramorski, J.; Tonello, K.C. Aspects of forest restoration and hydrology: The hydrological function of litter. J. For. Res. 2022, 33, 543–552. [Google Scholar] [CrossRef]
  46. Pang, X.; Bao, W. Effect of substituting plantation species for native shrubs on the water-holding characteristics of the forest floor on the eastern Tibetan Plateau. J Resour. Ecol. 2011, 2, 217–224. [Google Scholar]
  47. Bai, Y.; Zhou, Y.; Du, J.; Zhang, X.; Di, N. Effects of a broadleaf-oriented transformation of coniferous plantations on the hydrological characteristics of litter layers in subtropical China. Glob. Ecol. Conserv. 2021, 25, e01400. [Google Scholar] [CrossRef]
  48. Guevara-Escobar, A.; Gonzalez-Sosa, E.; Ramos-Salinas, M.; Hernandez-Delgado, G.D. Experimental analysis of drainage and water storage of litter layers. Hydrol. Earth Syst. Sci. 2007, 11, 1703–1716. [Google Scholar] [CrossRef]
  49. Levia, D.F.; Bollinger, W.C.; Hrabik, R.A. Evaporation of intercepted precipitation from fruit litter of Liquidambar styraciflua L. (sweetgum) in a clearing as a function of meteorological conditions. Int. J. Biometeorol. 2005, 49, 325–331. [Google Scholar] [CrossRef]
  50. Farahnak, M.; Mitsuyasu, K.; Otsuki, K.; Shimizu, K.; Kume, A. Factors determining soil water repellency in two coniferous plantations on a hillslope. Forests 2019, 10, 730. [Google Scholar] [CrossRef]
Figure 1. Map and aerial image showing the Hainan Tianxiang Magnolia Plant Conservation Research Center’s location. Lower images show the Michelia species investigated.
Figure 1. Map and aerial image showing the Hainan Tianxiang Magnolia Plant Conservation Research Center’s location. Lower images show the Michelia species investigated.
Forests 16 00514 g001
Figure 2. The litter thickness (A) and litter mass (B) of the five Magnoliaceae plants. Different lowercase letters indicate a significant difference among the five magnolias.
Figure 2. The litter thickness (A) and litter mass (B) of the five Magnoliaceae plants. Different lowercase letters indicate a significant difference among the five magnolias.
Forests 16 00514 g002
Figure 3. The maximum water-holding capacity Gm (A), maximum water retention capacity Hmax (B), and effective water retention capacity Heff (C) in the UL layer and SL layer of the five Magnoliaceae plants. The different lowercase letters indicate a significant difference among the five magnolias.
Figure 3. The maximum water-holding capacity Gm (A), maximum water retention capacity Hmax (B), and effective water retention capacity Heff (C) in the UL layer and SL layer of the five Magnoliaceae plants. The different lowercase letters indicate a significant difference among the five magnolias.
Forests 16 00514 g003
Figure 4. Water-holding ratio of (A) UL layer and (B) SL layer of five Magnoliaceae plants.
Figure 4. Water-holding ratio of (A) UL layer and (B) SL layer of five Magnoliaceae plants.
Forests 16 00514 g004
Figure 5. Water absorption rates of the UL layer for (a) M. shiluensis, (c) M. crassipes, (e) M. foveolata, (g) M. maudiae, and (i) M. odora and the SL layer for (b) M. shiluensis, (d) M. crassipes, (f) M. foveolata, (h) M. maudiae, and (j) M. odora.
Figure 5. Water absorption rates of the UL layer for (a) M. shiluensis, (c) M. crassipes, (e) M. foveolata, (g) M. maudiae, and (i) M. odora and the SL layer for (b) M. shiluensis, (d) M. crassipes, (f) M. foveolata, (h) M. maudiae, and (j) M. odora.
Forests 16 00514 g005
Figure 6. Soil infiltration rate among the five Magnoliaceae plants.
Figure 6. Soil infiltration rate among the five Magnoliaceae plants.
Forests 16 00514 g006
Table 1. The basic information of the sampling plots.
Table 1. The basic information of the sampling plots.
Tree SpeciesStand Age
(Years)
Average Tree Height (m)Average
Diameter at Breast Height (cm)
Tree
Density
(Trees·ha−1)
Canopy
Density
Slope Gradient (°)
M. shiluensis74.85 ± 0.4213.09 ± 1.014000.243~5
M. crassipes72.39 ± 0.3111.87 ± 1.12 4000.223~5
M. foveolata75.45 ± 0.3312.37 ± 1.524000.243~5
M. maudiae75.91 ± 0.539.63 ± 0.924000.223~5
M. odora75.01 ± 0.4811.94 ± 1.214000.343~5
Note: Data are mean ± S.D. : Ground diameter of M. crassipes.
Table 2. The soil litter water-holding capacity for the five Magnoliaceae plants. The different lowercase letters in each category indicate a significant difference among the five magnolias.
Table 2. The soil litter water-holding capacity for the five Magnoliaceae plants. The different lowercase letters in each category indicate a significant difference among the five magnolias.
Tree SpeciesSoil Depth
(cm)
Bulk Density
(g·cm−3)
Non-Capillary Porosity
(%)
Capillary Porosity
(%)
Total Porosity
(%)
Soil Water-Holding Capacity
(t·ha−1)
0 to 101.33 ± 0.10 a7.38 ± 5.15 a37.77 ± 3.71 a45.15 ± 1.61 a73.77 ± 51.52 a
M. shiluensis10 to 201.33 ± 0.10 a7.11 ± 6.67 a31.82 ± 7.02 a38.93 ± 0.40 a71.13 ± 66.67 a
20 to 301.38 ± 0.05 a5.95 ± 3.01 a37.16 ± 6.04 a43.11 ± 4.73 a59.47 ± 30.09 b
0 to 101.16 ± 0.18 a8.46 ± 1.46 a38.27 ± 1.80 a46.73 ± 2.81 a84.60 ± 14.57 a
M. crassipes10 to 201.19 ± 0.10 a5.35 ± 1.93 a42.36 ± 2.18 a47.70 ± 3.86 a53.47 ± 19.30 b
20 to 301.30 ± 0.02 a2.72 ± 1.67 b42.11 ± 0.96 a44.83 ± 2.03 a27.20 ± 16.74 c
0 to 101.26 ± 0.13 a7.81 ± 5.57 a39.91 ± 4.98 a47.72 ± 1.61 a78.07 ± 55.68 a
M. foveolata10 to 201.36 ± 0.27 a5.66 ± 3.23 a36.80 ± 6.55 a42.47 ± 8.09 a56.63 ± 32.27 b
20 to 301.29 ± 0.17 a7.63 ± 3.53 a37.68 ± 4.64 a45.31 ± 8.05 a76.30 ± 35.28 a
0 to 101.51 ± 0.13 a2.82 ± 1.79 a39.37 ± 4.33 a42.19 ± 5.96 a28.17 ± 17.87 a
M. maudiae10 to 201.59 ± 0.12 a2.90 ± 1.45 a37.17 ± 1.24 a40.07 ± 2.10 a29.03 ± 14.49 a
20 to 301.54 ± 0.04 a2.15 ± 0.62 a35.69 ± 2.47 a37.84 ± 3.03 a21.50 ± 6.18 a
0 to 101.44 ± 0.29 a4.86 ± 2.70 a35.81 ± 3.69 a40.67 ± 6.38 a48.60 ± 26.97 a
M. odora10 to 201.45 ± 0.31 a5.32 ± 3.97 a37.19 ± 4.79 a42.51 ± 8.73 a53.17 ± 39.75 a
20 to 301.40 ± 0.27 a5.67 ± 5.09 a39.90 ± 1.71 a45.57 ± 6.03 a56.73 ± 50.91 a
Table 3. Weighted values of water conservation capacity indexes in five Magnoliaceae plants.
Table 3. Weighted values of water conservation capacity indexes in five Magnoliaceae plants.
Grade I IndexWeightSerial No.Grade II IndexWeight
X1Litter thickness0.1321
X2Litter mass0.1427
Litter layer0.6152X3Gm0.0816
X4Heff0.1221
X5Hmax0.1367
X6Bulk density0.0698
X7Capillary porosity0.0807
Soil layer0.3848X8Total porosity0.0747
X9Soil water-holding capacity0.0613
X10Soil infiltration0.0983
Table 4. Synthetical assessment of water conservation capacity in five Magnoliaceae plants.
Table 4. Synthetical assessment of water conservation capacity in five Magnoliaceae plants.
Tree SpeciesWater Conservation CapacityComprehensive Evaluation ValueRank
Litter LayerSoil Layer
M. shiluensis0.23910.05410.29322
M. crassipes0.23940.10280.34221
M. foveolata0.05150.12750.17903
M. maudiae0.01780.03650.05435
M. odora0.06370.08180.14554
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Huang, Y.; Han, Y.; Mao, R.; Wang, K.; Yu, Y.; Fan, Y.; Xia, M.; Zhao, Y.; Wu, L.; Tu, Z. Water Conservation Capacity of Soil and Litter Layers of Five Magnoliaceae Plants in Hainan Island, China. Forests 2025, 16, 514. https://doi.org/10.3390/f16030514

AMA Style

Huang Y, Han Y, Mao R, Wang K, Yu Y, Fan Y, Xia M, Zhao Y, Wu L, Tu Z. Water Conservation Capacity of Soil and Litter Layers of Five Magnoliaceae Plants in Hainan Island, China. Forests. 2025; 16(3):514. https://doi.org/10.3390/f16030514

Chicago/Turabian Style

Huang, Yanping, Yujie Han, Ruowen Mao, Kang Wang, Yan Yu, Yanhui Fan, Murong Xia, Yihan Zhao, Liangying Wu, and Zhihua Tu. 2025. "Water Conservation Capacity of Soil and Litter Layers of Five Magnoliaceae Plants in Hainan Island, China" Forests 16, no. 3: 514. https://doi.org/10.3390/f16030514

APA Style

Huang, Y., Han, Y., Mao, R., Wang, K., Yu, Y., Fan, Y., Xia, M., Zhao, Y., Wu, L., & Tu, Z. (2025). Water Conservation Capacity of Soil and Litter Layers of Five Magnoliaceae Plants in Hainan Island, China. Forests, 16(3), 514. https://doi.org/10.3390/f16030514

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop