Keywords
Babeldaob, hillside farming, island, tillage, mulching, USLE equation
This article is included in the Agriculture, Food and Nutrition gateway.
Babeldaob, hillside farming, island, tillage, mulching, USLE equation
We have corrected the technical term “estimate” to “predict”.
We have corrected the use of the T factor according to the definition.
A citation was corrected and references for a recent USDA survey and for the use of K factor were added.
The K-factor was corrected to 0.15 to 0.05 (calculation had been used 0.05 so the results have been not affected)
The recommendation of the vertical ridge was mentioned.
See the authors' detailed response to the review by Kebede Wolka
See the authors' detailed response to the review by Nor Rohaizah Jamil
See the authors' detailed response to the review by Kathleen B. Boomer
From the viewpoint of sustainability, the annual soil erosion must be controlled below an erosion level of the T factor (USDA Natural Resources Conservation Service). Although No-tillage farming is effective for preventing soil erosion (Zuazo & Pleguezuelo, 2009), but the use of herbicides is unfavorable from an ecological perspective. The problem of tillage is the early stage of the crop of small vegetation coverage (Wischmeier & Smith, 1978). It is essential to increase the water infiltration rate at this stage. The water infiltration rate is positively proportional to the root mass of the crop soil (Oda et al., 2019). Therefore, we tried to clarify the risk of erosion and the effect of root mass for preventing soil erosion in a field with an incline typical for Palau in an area of categorized highly erodible. Surprisingly, there was no erosion at all in all plots. The results show land at low risk of soil erosion can be found by determining site-specific K factor measurements. We couldn't evaluate the effects of the treatments; nevertheless, this information is important for Palau’s agricultural development.
Palau forms part of the Micronesia region in the western Pacific Ocean. Palau's economy is mainly owing to tourism and the increase of tourists increases the consumption of agricultural products, but they had been afforded by imports. The agriculture in Palau is mainly taro cultivation at swamp by a traditional and environmentally friendly method. However recently, modern agriculture is rapidly grown and that has a large risk of causing erosion. There are open agricultural fields that were once utilized by the Japanese, prior to World War Two. The redevelopment of these fields is starting. Generally, fields with inclines of more than 8° are unsuitable for growing crops, but most of the agricultural fields in Palau have slopes of more than 8°. As well as having steep slopes, the island is also subject to heavy rainfall. Most of the country (92%) was categorized within the most tolerable rank, having a T factor of 5 (more than 5 tons per acre per year) (Smith, 1983); however, the data was updated by USDA Natural Resources Conservation Service in 2009, and most of the land (80%) was categorized within the most fragile rank, having a T factor of 1. A study estimated the risk of soil erosion from agricultural land was reported to be from 720 to 813 tons per ha per year (Gavenda et al., 2005).
The experiment was conducted at the Palau Community College Research and Development Station (N7.529694, E134.560522). The field is one of the agricultural fields that were once utilized by the Japanese. The soil here is Oxisol—“Ngardmau-Bablethuap Complex”, which is characterized as a very gravelly loam with low organic matter content of between 1% and 4%, and (Smith, 1983). The permeability is moderately rapid (15–50 cm/hr) and very well drained. The available water capacity is between 0.05 and 0.10 cm/cm (Smith, 1983). The previous crop grown on the land was taro (Colocasia esculenta). The slope is 15.4° (13.4°–17.3°).
We conducted the experiment from January to July 2019. The treatments were plants (with or without) × ridge (with or without) × 2 replications. We set these eight plots (2 × 10 m) randomly on the field (Table 1, Figure 1 and Figure 2). We tilled the field using a hand tractor on 22 January, leveled the field, and covered half the plots with weed control fabric (polypropylene, 0.4-mm thick, 120 g m–2; I-Agri Corp., Tsuchiura) on 28 January. We cut weeds on 16 April, blew off the residue, removed the weed control fabric on 17 April (Figure 3), then tilled each plot using the hand tractor up and down so that the soil did not mix with the soil of the neighboring plots. The average thickness of the soil tilled was 16 cm. We made a 70 cm width of the monitoring areas in the center of the plots by ridges or wooden boards (for the no-ridge treatment). We transplanted sweet potatoes (Ipomoea batatas) at 70 cm intervals on 17 April (Figure 4). We dug trenches at the upper end of the fields to prevent rainwater inflow. We embanked the lower ends and added 1-m lengths of weed control fabric to trap any eroded soil. Fertilizer was not applied. Hand weeding was conducted on 21 May and 6 June.
Block | Plot ID | Plants | Ridge | Slope/° |
---|---|---|---|---|
Left | 4 | 15.1 | ||
7 | + | 17.3 | ||
Mid | 1 | + | 14.2 | |
5 | + | + | 14.6 | |
6 | + | + | 15.7 | |
Right | 8 | + | 13.4 | |
2 | + | 16.1 | ||
3 | 16.6 |
Following every heavy rainfall event, we collected any soil that had been eroded and accumulated on the weed control fabric (Figure 4). We collected precipitation data every 5 minutes via a weather station in the Palau Community College Research and Development Station (about 100 m from the experimental fields). The condition of the fields was recorded using an automatic camera.
We identified rainfall events that caused severe erosion (more than 3 mm/10 min) (Onaga, 1969) and compared the amount of eroded soil of each event.
The amount of eroded soil was predicted with the Universal Soil Loss Equation (USLE) equation (Wischmeier & Smith, 1978) by the following formula using Microsoft Excel.
A = R×K×LS×P×C metric ton ha–1 year–1
The above equation was parameterized as follows.
E=210+89 log10 I30 100 metric ton ha–1
I30 cm h–1: maximum rainfall in 30 min multiplied to 60 min; rainfall less than 1.27 cm is omitted, and the maximum value is 7.62 cm.
A = EI×K×LS×P×C metric ton ha–1
K = 0.05
LS = (10/20.0)^0.5 × (68.19 sin2 15.4° + 4.75sin 15.4°+0.068)= 4.34
P = 1.00; vertical ridge
C =1.0; Tillage
EI = (E×I30)/100
Plot area = 7 m2
The field site received regular rainfall, with total precipitation of 992 mm during the experimental period, from 17 April to 15 July (Figure 5). There were 46 days of erosive rainfall more than 3 mm per 10 min (Figure 6). The rainfall threshold where surface runoff occurs is 2–3 mm per 10 min on a 15° slope, although these values vary according to different soil characteristics (Onaga, 1969). There was a highly erosive rainfall event on day 7 after planting (2 May). Following weeding, an erosive period, a heavy rainfall event of 17 mm per 10 min occurred on the next day after weeding took place. The second weeding was conducted after seven days of intensive rainfall, with a further erosive rainfall event of 7 mm per 10 min that occurred just after weeding took place. Thus, the rainfall conditions during the experimental period were expected to result in severe soil erosion.
There were 24 rainfall events that could have caused erosion during the observation period (Table 2). The soil loss prediction for bare land conditions by USLE was 0.57 kg per plot on day 7 (the first rainfall event after transplanting) and 2.82 kg (after the first weeding).
Despite the severe rainfall conditions, none of the plots had any erosion at all through the experimental period (Figure 7).
Most of the soil surface was bare by day 14 (1 May). The surface of the soil was covered by small weeds on day 21 (8 May), the day of the first weeding. The vegetation coverage by visual inspection ranged from 15–85% on day 54 (10 Jun), after the second weeding. The vegetation coverage was 100% by day 89 (15 July) (Figure 8).
The experiment was conducted under severe conditions, with a slope of approximately 15° and vertical ridge, and the treatment with weed control fabric was expected to erase the effect of root mass for preventing soil erosion. There were many intensive rainfall events during the experimental period. Nevertheless, no soil erosion occurred. This means that the risk of soil erosion was low for the fields and tillage is acceptable. Although the use of mulching material may erase the effect of root mass for preventing soil erosion, still the use of mulching material is available. The above results were unexpected; even if considering the length of the ridge is short (10 m), and the vertical ridge may reduce erosion than horizontal ride widely recommended because a vertical ridge without a catch canal is less erosive (Shima et al., 1991).
For the parameters of the USLE equation in the present study, only the K factor was not actually measured. This means that the K factor was larger than the actual value. Low erosion land for agriculture can be found by measuring erosion locally, even if the area is categorized as being unsuitable for field crops. The risk of erosion should be clarified for other soil types, and the effect of the previous crop type too. For taro, the previous crop in these fields, the roots might be left in the soil; although, we took a fallow period. Land suitable for agriculture and at low risk of soil erosion can be found in Palau by determining site-specific K factor measurements.
Following the USDA report, lands suitable for agriculture are rare in Palau. However, the use of USLE to predict sediment yields is not advisable despite their present widespread application (Boomer et al., 2008). Our results obtained from a limited field, still, this information is important for Palau's agricultural development. Further study is needed for distinguishing the area of the low K.
Figshare: Precipitation of Palau, https://doi.org/10.6084/m9.figshare.11769909.v1 (Oda et al., 2020). Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Erosion and soil and water conservation
Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Hydrology, soil biogeochemistry, and watershed modeling
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |||
---|---|---|---|
1 | 2 | 3 | |
Version 4 (revision) 21 Jan 22 |
read | ||
Version 3 (revision) 22 Jun 21 |
read | ||
Version 2 (revision) 24 Jun 20 |
read | ||
Version 1 07 Feb 20 |
read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)