Biodegradable film (BE) is completely degraded during use, which effectively addresses the pollution caused by residual film in agricultural fields, serving as an environmentally friendly alternative to traditional polyethylene film (PE). However, BE surface degradation and rupture is a dynamic process, and the relationship between the coverage area and soil moisture and evapotranspiration partitioning changes has yet to be quantified.
Methods
Therefore, a field experiment was conducted in 2021 and 2022, employing a film recognition method based on supervised classifiers to monitor the BE degradation area. Variations in evaporation and transpiration were determined in cotton fields under PE and BEs at different irrigation depths.
Results
Under BE, for every 1% increase in film area damage compared to PE, the soil evaporation rate increased by 0.34 mm∺d−1 (R2 = 0.6027, n = 1613, and p = 0.028). The increased soil evaporation under BEs exacerbated the depletion of deep soil moisture. Compared to seedling stage, the soil water content at 60–80 cm depth under BEs decreased by 28.5–42.13% at the boll-opening stage. Increasing the irrigation depth enhanced the soil moisture content by 5.29–15.37%. Changing the irrigation depth promoted canopy development in cotton fields, increasing the leaf area index by 15.26–25.14% and plant transpiration by 10.32–17.86%.
Discussion
Increases in irrigation depth and canopy coverage in cotton fields had similar inhibitory effects on evaporation as film application, mitigating the gradual increase in soil evaporation caused by BE rupture. Therefore, we suggest that irrigation quotas be appropriately increased when using BEs in oasis cotton areas to achieve coverage effects comparable to PEs.
biodegradable filmrupture areawater consumption structureevaporation volumetranspiration volumeyieldScience and Technology Department of Xinjiang Uygur Autonomous Region10.13039/100016079The author(s) declare financial support was received for the research and/or publication of this article. This study was funded by the “Tianshan Talents” Training Program -”Youth Top Talent Project -Youth Scientific and Technological Innovation Talents” (2023TSYCCX0019); the National Modern Agricultural Industry Technology System -Cotton Industry Technology System Post Scientist (CARS-15-12; CARS-15-13); the Xinjiang Modern Agricultural Industry Technology System -Cotton Industry Technology System (XIARS-03); the Xinjiang Tianshan Talent Cultivation Program Cotton Lightweight and Efficient Cultivation Technology Innovation Team (2023TSYCTD004); and the Autonomous Region Graduate Education Innovation Program Research and Innovation Project (XJ2023G130).section-at-acceptanceCrop and Product PhysiologyIntroduction
Based on the four functions of “temperature increase, moisture preservation, salt suppression, and grass suppression,” mulching technology has mitigated problems encountered in cotton planting in Xinjiang, such as recurrent low temperatures and high winds in the spring, seasonal unevenness resulting in water shortages, and heavy soil salinization. Thus, mulching has been widely adopted across the cotton-growing regions of Xinjiang (Qi et al., 2021; Zong et al., 2021). Nevertheless, current technologies for plastic film recovery are insufficient to fully eliminate the conventional plastic mulch used in agricultural fields (He et al., 2018), leading to the persistent accumulation of considerable plastic debris in the soil plow layer. This adversely affects cotton yield development and poses a threat of irreversible harm to farmland ecosystems (Gao et al., 2019). Thus, environmentally benign biodegradable mulch films have emerged as a promising alternative (Liu et al., 2022). These materials are predominantly fabricated from bio-based polymers, such as polylactic acid (PLA) and polyhydroxyalkanoates (PHA), and natural macromolecules, such as starch and cellulose. They are designed to progressively decompose into CO2, H2O, and biomass (Brodhagen et al., 2015; De Sadeleer and Woodhouse, 2024), preventing the long-term accumulation of plastic fragments in the soil (Touchaleaume et al., 2016; Yin et al., 2019). However, a significant challenge remains, as the mechanical strength and degradation of such biodegradable mulch films often fall short of agricultural requirements. To enhance both their degradability and physical performance, certain products incorporate photosensitizers and polyethylene as additives (Song et al., 2024). Although this approach can partially improve film functionality, it introduces new concerns, including inconsistent degradation performance and decomposition outcomes. These uncertainties impede the accurate assessment of field-scale water consumption under film mulching, which complicates irrigation management and water resource planning.
Extensive studies have been conducted on crop growth and water consumption in fields covered by biodegradable films (Kasirajan and Ngouajio, 2012; Deng et al., 2019). Although biodegradable films are comparable to traditional plastic mulches in maintaining crop growth, yield, and quality, their water retention capabilities remain relatively weak, particularly after degradation (Chen et al., 2021a; Zhao et al., 2023). Mulch functions to obstruct the exchange of water vapor between the soil and atmosphere, reducing ineffective evaporation and enhancing the soil moisture content (Zribi et al., 2015; Sharma et al., 2017; Qin et al., 2018). However, as biodegradable films gradually degrade over time, their coverage area decreases throughout the crop growth period, making it difficult to accurately monitor fluctuations in field evapotranspiration (ET) and water storage (Gu et al., 2021). Drip irrigation serves as a key technical measure for supplementing crop water requirements (Li et al., 2024). Research has shown that increasing the irrigation volume maintains soil moisture in a more uniform and suitable range (Lu et al., 2025). This meets the crop’s water uptake and transpiration demands. Although there is no significant advantage in water productivity, both crop yield and economic benefits are significantly improved. However, excessive irrigation provides a more abundant “source” for soil ET, increasing the total field ET (Guo and Li, 2024; Li et al., 2024).
ET in agricultural fields is comprised of crop transpiration and inter-canopy evaporation, representing a crucial element of the surface water and thermal cycle (Fan et al., 2017; Unkovich et al., 2018). Accurately distinguishing between these processes aids in elucidating the physiological water consumption of crops and ineffective soil evaporation, providing a theoretical basis for optimizing irrigation practices (Ding et al., 2013; Campbell et al., 2015; Hou et al., 2022). The primary methods for partitioning ET include the stem flow method (Campbell et al., 2015; Ham et al., 1990), eddy covariance technique (Scott, 2010), remote sensing methods (French et al., 2018), and the Bowen ratio energy balance approach (Irmak et al., 2014; Wu et al., 2025). However, these techniques often face challenges, such as high costs, technical complexity, and susceptibility to environmental interference. In contrast, lysimeters have notable advantages, including ease of operation, precise measurements, and environmental friendliness, and have been widely adopted for the direct measurement of soil evaporation (Evett et al., 1995; Oberholzer et al., 2017; Wang et al., 2022). Numerous studies have demonstrated that the results obtained from lysimeters are consistent with those derived from other methods (Ding et al., 2013; Zribi et al., 2015; Qin et al., 2018; Bian et al., 2024; Xia et al., 2024; Wei et al., 2025).
In agricultural production in arid and semi-arid regions, the changing biodegradable mulch breakdown area during degradation directly affects soil water conservation and ET. The irrigation amount is a key factor regulating field water conditions, further increasing the complexity of the ET system. Under different irrigation levels, the effects of mulch breakdown on the spatiotemporal distribution of soil moisture, total ET, and the ratio of its components differ significantly. This study aimed to accurately investigate the characteristics of ET and changes in its component ratios under the coupled effects of varying breakdown areas and irrigation levels in farmland with biodegradable mulch. A multi-classifier-based recognition method was used to monitor the dynamic mulch degradation area. The water balance method was applied to determine ET under different irrigation depths. The objectives were as follows: (1) to reveal the spatiotemporal characteristics of soil moisture in cotton fields covered with biodegradable mulch under different irrigation depths; (2) to quantify the dynamic changes in ET, the proportion of crop transpiration, and the proportion of soil evaporation in these cotton fields; and (3) to clarify the composition and transformation processes of ET under the coupled conditions of different irrigation depths and different mulch breakdown areas. This study provides theoretical support for synergistically managing biodegradable mulch application and water-saving irrigation in cotton fields in arid and semi-arid regions.
Materials and methodsStudy site
A 2-year field experiment was conducted in Hailou Town, Shaya County, Aksu Region, Xinjiang (41°17’ N, 82°42’ E, 897 m above sea level, Figure 1) from 2021 to 2022. The variations in daily average air temperature, daily precipitation, and daily ET in the experimental area during the cotton growth period are depicted in Figure 2. In 2021, the average residual amount of plastic mulch in the cotton fields of this region was 216.0 kg·ha−1, which is 2.88 times the threshold limit for agricultural plastic residue set by China. The basic physicochemical properties of the soil in a 0–80 cm depth range at the experimental site are presented in Table 1. The groundwater level in the experimental area is greater than 5 m, making it unable to replenish the crop root zone, with upward supply considered negligible.
Experimental area and field layout. Located in Hailou Town, Shaya County, Aksu Region, Xinjiang, China. (N 41°17’, E 82°42’, 897 m above sea level).
Map showing China with Xinjiang highlighted in purple in the main map. An inset map zooms in on Xinjiang, marking the location of a study site. Below is an aerial view of the study site, featuring rectangular agricultural plots.
Changes in temperature and rainfall during the cotton growth period in 2021–2022.
Two side-by-side graphs show climate data over days after sowing. Both graphs display precipitation as blue bars, average air temperature as a red line, and potential evapotranspiration as green dots. The left graph covers 140 days, while the right extends to 160 days. The y-axes represent different scales for each variable.
The fundamental physicochemical properties of the soil in the experimental field prior to cotton sowing.
Indicator
2021 year
2022 year
Soil type
sandy loam
Bulk density (g·cm−3)
1.50
1.48
pH
8.1
7.62
organic matter content (g·kg−1)
9.57
5.51
total nitrogen (g·kg−1)
0.53
0.38
alkali-hydrolyzed nitrogen (mg·kg−1)
39.35
49.63
available phosphorus (mg·kg−1)
17.98
8.00
available potassium (mg·kg−1)
111.82
109.47
Experimental design
A randomized block experimental design was employed, with plastic mulch as the main factor and irrigation depth as the sub-factor. The trial utilized four types of plastic mulch, as detailed in Table 2. Additionally, the reference ET (ET0) for the local cotton growing period was calculated to be 495 mm, based on the Food and Agriculture Organization-recommended Penman–Monteith formula (Allen et al., 1998). Consequently, three irrigation depths were established and evaluated in each type of mulch: W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). In total, the experimental design yielded 12 treatments, each replicated 3 times, resulting in a cumulative total of 36 experimental plots. Each plot occupied an area of 64.98 m2 (length 9.50 m, width 6.84 m).
The Penman-Monteith formula is as follows (Allen et al., 1998):
ET0=0.408Δ(Rn−G)+γ900Tα+273μ2(es−ea)Δ+γ(1+0.34μ2)
where Δ is the slope of the saturation vapor pressure function (kPa·°C-1); Rn is net radiation (MJ·m-2·d-1); G is soil heat flux density (MJ·m-2·d-1); Tα is mean air temperature (°C); es and ea are actual and saturation vapor pressure respectively (kPa); μ2is wind speed (m·s-1); γ is psychometric constant (kPa·°C-1).
The tested variety was locally recommended cotton cultivar ‘J206-5’, and a machine-harvested planting pattern of 66 + 10 cm was utilized, with a planting density of 26.50 × 104 plants·ha−1. The basal fertilizer application included nitrogen (N) at 162 kg·ha−1, P2O5 at 180 kg·ha−1, and K2O at 81 kg·ha−1. The initial plastic mulch coverage was set at 80%, and during the cotton growth period, irrigation and fertilization were carried out using a drip system beneath the mulch, with specific arrangements, as outlined in Table 3. Other management practices were consistent with standard field protocols.
Irrigation and fertilization arrangements for Cotton.
Irrigation date
Irrigation depth (mm)
Topdressing quantity (kg·ha-1)
2021
2022
W1
W2
W3
N
P2O5
K2O
June 23
June 15
31.5
40.5
49.5
22.164
7.320
4.500
June 30
June 22
31.5
40.5
49.5
22.164
7.320
4.500
July 07
June 29
31.5
40.5
49.5
29.544
9.720
4.500
July 14
July 06
31.5
40.5
49.5
29.544
9.720
5.600
July 21
July 13
31.5
40.5
49.5
30.264
13.320
5.600
July 28
July 20
31.5
40.5
49.5
37.164
13.320
5.600
August 04
July 27
31.5
40.5
49.5
36.444
9.720
6.700
August 11
August 03
31.5
40.5
49.5
36.444
9.720
6.700
August 18
August 10
31.5
40.5
49.5
29.544
9.720
6.700
August 25
August 17
31.5
40.5
49.5
22.164
7.320
5.600
Total irrigation depth (mm)
315
405
495
Total topdressing quantity (kg·ha-1)
295.440
97.200
56.000
MAP is Monoammonium phosphate; PS is Potassium sulfate.
Data acquisitionMonitoring the rupture area of biodegradable films
To avoid external interference that may cause normal changes in the film, observations were conducted every 7 days following film application. Three observation points were selected in each plot to document biodegradable film degradation through photography. The camera was mounted on a fixed stand, ensuring a vertically downward orientation, as shown in Figure 3. The shooting distance was set at 1.0 m, and the sampling area post-capture measured 0.16 m2 (0.4 × 0.4 m).
Flow chart of plastic film residual recognition.
Flowchart illustrating the image acquisition and plastic film recognition process. On the left, a sketch shows the setup for data collection with a camera on a tripod. In the center, an original image of overlapped plastic films is displayed. On the right, the flowchart outlines steps including median filtering, equalization, manual selection of region of interest, calculation of separability, and classifiers. It also indicates steps for manual labeling and area statistics, ending with the recognition rate.
A method for monitoring the biodegradable film area based on supervised classifiers was employed for film identification, as illustrated in Figure 3. The main steps were as follows. (1) Image processing: The images were normalized and subjected to 3 × 3 median filtering to eliminate anomalies and histogram equalization to enhance the contrast of the objects in the images. (2) Film identification: The primary features within the sampling area included the film, soil, and drip irrigation tape. Regions of interest (ROIs) were delineated utilizing ENVI 5.3 software, and the areas covered by the film were manually selected to extract the reflectance information of the ROI. The reflectance characteristics of the extracted film-covered areas were analyzed using four classifiers based on traditional statistical analysis from the supervised classification module in ENVI (parallelepiped, minimum distance, Mahalanobis distance, and maximum likelihood classifiers), with the maximum likelihood and minimum distance classifiers demonstrating the best classification performance. The reflectance pixel points of the film-covered regions in the images were separated, with different colors used to distinguish between the ROIs and regions that were not of interest, thereby determining the film identification area in the sampling zone. (3) Accuracy verification: The images were imported into AutoCAD 2020 (Autodesk, Inc.) and scaled to dimensions of 0.4 × 0.4 m. The polyline command was then used to outline the damaged areas, forming closed-loop regions complemented by an area statistical command to individually identify the damaged areas in the study zone. The proportion of actual film damage was calculated by dividing the damaged area by the observed area (Chen et al., 2021b). Biodegradable film degradation was determined at different stages, with statistics on the identified area of film, actual area, and identification rate recorded, as shown in Figure 4. The results showed that with prolonged coverage duration, the identification rate of the film gradually diminished due to the film’s color shifting to yellow over time, blending with the soil’s grayscale, and reducing the identification rate.
Recognition accuracy of biodegradable plastic film at different stages.
Four scatter plots show the correlation between identification area and actual area, taken at 42, 73, 103, and 134 days after mulching. Each plot includes a linear fitting line, alongside 95% confidence and prediction bands. The equations, R-squared values, RMSE, and MAE for each time point are displayed on the graphs, indicating a strong linear relationship in each case.
The biodegradable film coverage rate in the sampling area (F) was calculated as follows (Chen et al., 2021b):
F=S1/S2
The biodegradable film surface coverage rate at the field scale (Fm) was calculated as follows:
Fm=(Sa×F)/Sb
where S1 represents the biodegradable film residual area in the sampling zone; S2 denotes the sampling region area; Sa indicates the total area covered by the biodegradable film prior to degradation; and Sb refers to the total area of the field.
The disintegration fraction (Fd) of biodegradable mulch under field conditions was calculated as follows:
Fd=1−FmMonitoring of soil water content
The soil water content was determined at 0–80 cm depth in each plot throughout the cotton growth period using the TRIME-PICO-IPH TDR profiling soil water measurement system. Each plot was measured at two points: the wide row measurement was taken at the midpoint of the second film in each plot; the narrow row measurement was positioned directly beneath the corresponding narrow-row drip emitter (Figure 5). Measurements were conducted in 10-cm intervals, with 3 repetitions for each layer, and assessments were performed every 7 days and after irrigation and rainfall events.
Cotton planting patterns and soil moisture measurement positioning points.
Diagram showing soil moisture content and evaporation measurement setup. It features plants spaced 76 centimeters apart with a drip line, TDR tubes 38 centimeters deep, and a micro-lysimeter system. Tools include TRIME-PICO IPH 2 TDR and additional apparatus for precise measurements.
The soil water consumption was calculated using the agricultural water balance method (Wang et al., 2025; Fernández et al., 2020):
Soil water storage capacity:W=h×ρ×θ×10/100Water consumption in cotton fields:ΔW=P+I−ET−K−R−D
h: soil layer depth (cm); ρ: soil bulk density (g·cm-3); θ: soil gravimetric moisture content (%); P: precipitation (mm); I: irrigation (mm); ΔW: changes in soil water storage between the beginning and end of the cotton growing season (mm). K is the groundwater recharge amount during the period (mm), which can be neglected when the groundwater table depth is greater than 2.5 m (in this experiment, the groundwater table depth was below 5 m, resulting in no groundwater recharge). D is the deep percolation amount (mm); R is the surface runoff amount (mm). Drip irrigation under mulch was used during irrigation events. This method delivers water directly and slowly to the root zone of the cotton plants via drip tapes. The application rate is low and the water is supplied gradually, allowing sufficient time for soil absorption. Consequently, surface ponding or runoff is virtually non-existent, and water is unlikely to percolate below the root zone into deeper soil layers. Therefore, both D and R are considered negligible and are disregarded.
The simplified equation is as follows:
ΔW=P+I−ET
The calculation method for crop water productivity (WPc) (Fernández et al., 2020):
WPc=Y/ET
Where: Y represents the yield of cotton seed cotton (kg·ha-1); ET denotes the water consumption in the cotton field (mm).
Determination of soil evaporation
This study considered the environmental characteristics and practical requirements of cotton fields, fabricating micro-lysimeters of identical specifications suitable for measuring inter-row evaporation in cotton fields. The structure, placement, and position of the micro-evaporator were the same as described by Ding et al. (2013), Chen et al. (2021b), and Fang et al. (2021). In the bare soil layer of the cotton field, three plots were randomly selected for each treatment, with three miniature evaporators installed in each, resulting in nine micro-evaporators. These evaporators were constructed from PVC pipes, comprising two open-ended inner and outer cylinders. The inner cylinder had a diameter of 11 cm, a wall thickness of 2 mm, and a height of 15 cm, and the outer cylinder had a diameter of 11.5 cm, a wall thickness of 2 mm, and a height of 15 cm, as illustrated in Figure 5. The installation procedure was performed as follows: first, the inner cylinder was vertically inserted into the soil until its edge was level with the ground surface. Then, the soil column was excavated and sealed at the bottom with mesh netting. Finally, it was positioned in the pre-secured outer cylinder, ensuring that both surfaces were flush with the ground. This design prevents soil leakage and facilitates normal moisture exchange with the surrounding soil. The weight of the micro-evaporators and the soil was recorded every afternoon at 19:00 using an electronic balance with an accuracy of 0.01 g, and the difference in mass over 2 consecutive days represented the evaporation volume for 1 day. The undisturbed soil within the micro-evaporators was replaced every 6 days, and soil columns were changed immediately after rainfall or irrigation. The evaporation rate per unit time between the plants was calculated using the following formula:
E=Δm/πr2
where Δm represents the mass difference measured by the micro-lysimeter within a unit time (g); r denotes the radius of the inner cylinder of the micro-lysimeter (mm). A reduction of 9.5 g·d−1 in the soil sample within the micro-lysimeter corresponded to an evaporation rate of 1 mm·d−1.
At the whole cotton field scale, the average soil evaporation (Es) was computed by incorporating the weighted ground cover rate (Fm) (Ding et al., 2013; Qin et al., 2018).
Es=E(1−Fm)Determination of yield
The harvest measurements were recorded on October 5, 2021, and September 20, 2022, when the cotton field exhibited a fiber extrusion rate exceeding 80%. During harvest, three random plots measuring 2.27 × 2.93 m were selected from each experimental area, and the number of cotton rows, the number of plants per row, and the number of bolls were recorded to calculate the average number of bolls per plant. Additionally, 30 cotton plants were randomly sampled from each plot and divided into 3 parts: upper (1–3 fruit branches), middle (4–6 fruit branches), and lower (≥ 7 fruit branches). From each section, 30 bolls were collected, dried to a constant weight, and weighed to calculate the weight per boll. The cotton seed yield per unit area was then calculated based on the effective plant density, average number of bolls per plant, and boll weight (Han et al., 2024).
Seed cotton yield(kg·ha−1)=Effective plant density(Plants·ha−1)×Average number of bolls per plant(Bolls·Plant−1)×Weight per boll(kg·Boll−1)Data analysis
Statistical data analysis was conducted using the least significant difference (LSD) method in SPSS v. 22.0 (SPSS Inc., Chicago, IL, USA) to identify significant differences (P < 0.05). Graphical representations were generated using SigmaPlot (version 12.5, Systat Software, Inc., USA).
ResultsRate of surface damage to biodegradable films
Mulch film degradation and rupture in the field are illustrated in Figure 6. Notably, B2 and B1 exhibited the earliest formation of gaps, occurring at 28 and 42 days, respectively, approximately 7–14 days earlier than that in B3. After film degradation, the degradation rates of the three types of biodegradable film increased with the number of days after sowing, and the degradation rates of B2 and B1 were higher than those of B3 during the reproductive period. In 2021, the degradation rates of B2 and B1 reached 26.02 and 20.53%, respectively, at 60 days after sowing. B3 exhibited a degradation rate of 26.14% at 90 days after sowing, which was significantly lower than that of B2 and B1 by 20.78 and 10.19%, respectively. At 150 days after sowing, the degradation rates of the three films followed the order B2 > B1 > B3, with B2 achieving a degradation rate of 76.02%. Increasing the irrigation quota slowed the rupture speed of the biodegradable mulch. For example, in 2022, the degradation rate under W3 was 61.32% at 154 days after sowing, representing reductions of 9.34 and 14.01% compared to that under W2 and W1, respectively.
Proportion of membrane degradation area of mulch films under differing irrigation depths (2021–2022). W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch.
Six line graphs depict the fraction of disintegrated samples over days after sowing for 2021 and 2022 across three different weeks each. Each graph shows four lines: PE, B1, B2, and B3. B1 and B2 show a higher disintegration rate, while PE remains constant. Graphs compare disintegration trends for different sample types and years.Leaf area index
As shown in Figure 7. the LAI for each treatment exhibited a trend of initial increase, followed by a subsequent decrease, peaking at 90–95 days after sowing in 2021a and 100–110 days in 2022a. Under W1, the peak LAI observed with PE was significantly (P < 0.05) higher than that with B2, B1, and B3, exceeding them by 6.44, 8.09, and 14.13%, respectively, in 2021, and by 7.52, 8.08, and 18.80%, respectively, in 2022. Moreover, the peak LAIs for B2, B1, and B3 were reached later. Increasing the irrigation volume increased the LAI under all four mulch films, and narrowed the gap in LAI among B2, B1, B3, and PE mulch films.
Dynamic changes in the LAI of cotton under different mulching types and irrigation depths in 2021 and 2022. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. Different letters indicate significant differences at the 5% level.
Six line graphs show the leaf area index (LAI) over time for different conditions across 2021 and 2022. Each graph represents different weeks (W1, W2, W3) and uses lines denoted as PE, B1, B2, and B3. The x-axis shows days after sowing, and the y-axis indicates LAI in square meters per square meter. Each series demonstrates a peak in LAI around 100 days after sowing, with variations labeled by letters a, b, and c. Graphs for 2021 and 2022 display similar trends with slight differences in the peaks and labeling.Soil water content
The temporal and spatial variations of the soil moisture content at depths of 0–80 cm during critical cotton growth periods under different biodegradable films and irrigation depths from 2021–2022 are illustrated in Figures 8a, b. The changes observed over the 2 years consistently showed that the average soil moisture content increased with the irrigation depth across various treatments. Throughout the growth period, PE exhibited no degradation; in the 0–80 cm soil layer, the average soil moisture content under W3 was 5.57 and 1.92% higher compared to W1 and W2, respectively. In contrast, B2 demonstrated the most rapid degradation, resulting in a lower average soil moisture content under W1, W2, and W3 by 0.97, 3.34, and 4.39%, respectively, compared to that for PE, with no significant differences observed between B1 and B3. Analysis of the soil moisture content across growth periods showed that irrigation commenced at the budding stage, leading to the gradual downward infiltration of moisture into deeper soil layers. The average soil moisture content for B1, B2, and B3 under W1 was lower than that for PE by 1.59–5.95%. From the flowering to the boll-opening stage, mulch film degradation progressed in tandem with cotton growth, resulting in a gradual reduction of its moisture retention capacity; thus, the values for B1, B2, and B3 were lower than that for PE by 1.24–5.46% under W1–W3. Analyses of the soil moisture content in different soil layers revealed that in the 0–30 cm layer, the soil moisture content for B1, B2, and B3 under W1, W2, and W3 were reduced compared to PE by 3.29–6.78, 2.46–3.80, and 0.68–3.18%. In the 50–80 cm layer, the reductions compared to PE were 12.09–21.07, 10.14–13.05, and 5.31–8.50%.
(a) Spatial and temporal dynamics of the soil moisture content at 0–80 cm under different mulching and irrigation treatments in 2021. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. (b) Spatial and temporal dynamics of the soil moisture content at 0–80 cm under different mulching and irrigation treatments in 2022. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch.
Two sets of contour plots labeled A and B illustrate soil water content distribution with varying soil depths, days after sowing, and treatments. Each set contains nine plots labeled PEW1, PEW2, PEW3, and so forth. Color gradients from dark to light blue represent increasing water content values, with a color scale on the right. Soil depths are plotted on the y-axis and days after sowing on the x-axis.Water consumption structureWater consumption
Water consumption was significantly influenced by irrigation (I), mulch (M), and year (Y) during each cotton growth stage. However, the interaction of I, M, and Y had no significant effect on water consumption throughout the growth period. The water consumption in cotton fields varied significantly due to differences in mulch coverage and irrigation depth. As shown in Figure 9 and Table 4, as the growth process progressed, the water usage in cotton fields initially increased before subsequently decreasing for all treatments. In 2021, under W1, the water consumption for B2 and B1 increased by 8.75 and 9.66%, respectively, compared to PE, with significant differences observed. Under W2, differences in water consumption during the flowering and boll-opening stages were observed across treatments. During the flowering stage, the water consumption for B1 was the highest at 382.41 mm, significantly exceeding the PE treatment by 27.63 mm, whereas B3 recorded the lowest water usage at 349.58 mm, showing no significant difference from PE. Throughout the growth period, water consumption increased with greater irrigation depths; for instance, for PE, the total water consumption under W3 was higher than that under W1 and W2 by 6.56% (43.52 mm) and 13.07% (93.27 mm), respectively.
Water consumption changes in cotton fields in 2021 and 2022. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. Different letters indicate significant differences at the 5% level. * and ** represent a significant difference at the 5 and 1% levels.
Bar charts comparing cumulative water consumption in millimeters for different mulching treatments over two years, 2021 and 2022. Each chart shows data divided into three sections labeled W1, W2, and W3, with bars for treatment types PE, B1, B2, and B3. Statistical significance is noted, with different letters indicating significant differences among bars.
Changes in water consumption and cotton in 4 growth stages under different mulch and irrigation treatments in 2021 and 2022.
Irrigation
Mulch
Water consumption (mm)
Seedling stage
Budding stage
Flowering-bolling stage
Boll opening stage
2021
2022
2021
2022
2021
2022
2021
2022
W1
PE
32.33a
27.56b
91.16a
66.67b
229.86c
234.41b
40.83c
55.08b
B1
33.26a
30.06a
88.73b
71.65a
249.84a
238.37a
49.01a
73.92a
B2
32.25a
30.58a
89.57ab
70.90a
247.96a
241.80a
49.37a
73.84a
B3
33.30a
29.13a
84.18c
68.86ab
241.02b
240.92a
47.68b
70.73a
W2
PE
35.15a
29.22a
98.43a
69.68c
294.27c
288.71b
46.42c
64.14c
B1
32.69a
30.29a
96.02a
73.07b
307.79a
299.37a
55.46a
75.37a
B2
34.63a
30.80a
97.67a
76.89a
309.08a
302.17a
53.25ab
74.49a
B3
34.00a
29.83a
92.99b
73.86b
299.53b
287.36b
52.51b
70.21b
W3
PE
36.75a
27.49a
96.08b
71.83b
333.27c
319.41c
53.34c
83.08c
B1
37.72a
29.24a
104.97a
76.49a
350.61ab
339.37a
68.02a
98.16a
B2
39.90a
30.94a
105.52a
76.88a
352.80a
341.17a
64.54b
93.47b
B3
33.57b
29.95a
103.55a
72.86b
348.13b
327.14b
63.25b
90.32b
Source of variance
Irrigation (I)
ns
**
**
**
Mulch (M)
ns
**
**
**
Year (Y)
*
**
**
**
I×M
ns
**
**
**
I×Y
ns
**
**
**
M×Y
ns
**
*
**
I×M×Y
ns
**
**
**
W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. Different letters indicate significant differences at the 5% level. * and ** represent a significant difference at the 5 and 1% levels.
In 2022, under W1 during the flowering stage, the water consumption for B2 and B1 increased by 6.06 and 6.02%, respectively, compared to PE. Under W2, significant differences in water consumption were observed during the boll and flowering stages. Furthermore, under W3, B2 and B1 exhibited increases in water consumption of 7.24 and 11.51%, respectively, compared to PE. Water consumption increased with increasing irrigation depth during the reproductive period, with W3 surpassing W1 and W2 by 8.26 and 19.23%, respectively.
The evaporation from the soil and the transpiration from the plants
Variations in soil evaporation and plant transpiration under different film coverings and irrigation depths in cotton fields are shown in Figure 10. Both evaporation and transpiration were significantly influenced by I, M, and Y, as well as their interactions. Over both years, soil evaporation significantly increased under biodegradable film coverage compared to PE coverage, whereas plant transpiration decreased under biodegradable films. For instance, in 2022, under W1, the evaporation and transpiration rates for PE were 99–285 mm, reflecting reductions of 38.15–41.89% and increases of 12.50–16.71%, respectively, compared to the three types of biodegradable films. Increasing the irrigation depth enhanced plant transpiration, although it did not significantly affect soil evaporation. For example, in 2022, for B1, the transpiration rate under W3 increased by 23.37 and 51.01% compared to W2 and W1, respectively.
Changes of soil evaporation and plant transpiration at four main growth stages of cotton under different treatments. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. Different letters indicate significant differences at the 5% level. ** represent a significant at the 1% levels.
Bar charts comparing evaporation and transpiration under different treatments for the years 2021 and 2022. Each treatment (B1, B2, B3, PE) is color-coded. Evaporation and transpiration values are indicated in millimeters. Statistical significance levels for factors like irrigation, mulch, and year interactions are denoted by asterisks.
The impact of different mulch coverings and irrigation depths on inter-row evaporation in cotton fields during various growth stages is depicted in Figure 11. The inter-row soil evaporation throughout the cotton growth period followed a unimodal curve, demonstrating an initial increase, followed by a decrease as growth progressed. B2, B1, and B3 reached their peak values approximately 114 days post-sowing in 2021, and 128 days post-sowing in 2022, lagging behind PE by approximately 7 days. Under biodegradable mulch coverage, the daily soil evaporation increased with the expansion of the cracked area. Between 63–114 days post-sowing, the cracked areas of the biodegradable mulch increased from 9.54, 8.63, and 1.45% to 43.29, 42.80, and 34.54%, respectively. During this phase, the evaporation rates under biodegradable mulch coverage significantly increased, with daily evaporation for B2, B1, and B3 surpassing that for PE by 45.99, 50.76, and 41.18%, respectively.
Stage changes of daily soil evaporation under different treatments. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch.
Six line graphs display daily evaporation capacity in millimeters against days after sowing for six scenarios: 2021 W1, 2021 W2, 2021 W3, 2022 W1, 2022 W2, 2022 W3. Each graph compares four treatments: PE, B1, B2, and B3. Evaporation increases notably between days sixty and one hundred twenty, with varying peaks across treatments.Correlation analysis
The relationship between the measured inter-row evaporation ratio (E/ET) and the coverage area ratio (Fd) is illustrated in Figure 12. As the area covered by the plastic film decreased, E/ET similarly decreased, following a power function trend. When the biodegradable film remained intact, with 0.7 ≤ Fd ≤ 0.8, E/ET decreased more significantly with the decline in Fd, resulting in a steeper slope in the E/ET curve. However, when the Fd fell below 0.7, E/ET decreased more gradually and remained relatively constant, becoming less sensitive to the increase in the area of film rupture. As the irrigation depth increased, the extent of decline in E/ET corresponding to a reduction in Fd became more pronounced, indicating that a deeper irrigation regime diminished the proportion of E to ET. Notably, after the flowering stage, inter-row evaporation was relatively higher under lower irrigation depths. This phenomenon was primarily attributed to the elevated soil moisture content resulting from deeper irrigation, which fosters cotton canopy growth and development, thereby producing an evaporative suppression effect, similar to that of the plastic film and mitigating the increase in soil evaporation due to biodegradable film rupture.
Dynamic relationship between E/ET and Fd (fraction of the disintegrated) under biodegradable mulching. W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. ** represent a significant at the 1% levels.
Scatter plots showcase the relationship between Fd (x-axis) and E/ET (y-axis) for three groups (B1, B2, B3) across six separate panels. Each plot includes trend lines and equations, with R-squared values indicating fit quality. The data points are represented by colored symbols.Yield and water use efficiency
As illustrated in Table 5, biodegradable mulch, irrigation depth, and their interaction had highly significant effects on seed cotton yield. The 2-year data showed that the seed cotton yield under biodegradable mulch cover showed a gradual increase with increasing irrigation depth, reaching a maximum under W3. The highest seed cotton yields for B1 and B2 covers were 5862 and 5872 kg·ha−1 in 2021 and 6789 and 6854 kg·ha−1 in 2022. Notably, these yields were not significantly different compared to the maximum yields obtained under PE cover.
Effects of different degradation films and irrigation depth on yield and yield composition.
Irrigation amount
Film
Effective number of strains/×10−4·Plant
Single plant boll number/Boll·Plant−1
Single boll weight/g
Seed cotton yield/kg·ha−1
WPc/Kg·m−3
2021
2022
2021
2022
2021
2022
2021
2022
2021
2022
W1
PE
19.11a
22.57a
5.71a
4.65a
5.60a
5.91a
6096a
6201a
15.47a
16.16a
B1
18.99a
22.62a
5.16b
4.37b
5.48b
5.72ab
5356b
5645b
12.73b
13.64b
B2
19.76a
22.25a
5.29b
4.41b
5.16c
5.75a
5388b
5632b
12.86b
13.50b
B3
19.34a
22.36a
5.29b
4.27b
5.07c
5.54b
5186c
5284c
12.77b
12.90c
W2
PE
18.59b
21.71b
5.70a
5.33a
5.55a
5.86a
5874a
6772a
12.39a
14.99a
B1
19.20ab
23.12a
5.46ab
4.78b
5.20b
5.75ab
5450b
6345bc
11.08b
13.27b
B2
19.34a
22.73ab
5.35b
4.96ab
5.35b
5.69b
5530ab
6399b
11.18b
13.21b
B3
19.21ab
22.63ab
5.25b
4.74b
5.28b
5.66b
5317b
6068c
11.10b
13.16b
W3
PE
19.01a
21.89a
5.54a
4.93a
5.16c
6.10a
5434b
6575ab
10.46a
13.10a
B1
18.99a
22.29a
5.81a
5.18a
5.32a
5.88b
5862a
6789ab
10.44a
12.50b
B2
19.68a
22.25a
5.68a
5.04a
5.26b
6.11a
5872a
6854a
10.44a
12.64b
B3
19.43a
21.91a
5.66a
4.98a
5.19c
5.97b
5699a
6514b
10.39a
12.52b
Source of variance
Mulch(M)
*
**
**
**
**
Irrigation (I)
ns
**
**
**
**
Year(Y)
**
**
**
**
**
M×I
ns
**
**
**
**
M×Y
ns
ns
*
ns
**
I×Y
ns
**
**
**
**
M×I×Y
ns
ns
**
ns
*
W1: 315 mm (63.6% ET0); W2: 405 mm (81.8% ET0); and W3: 495 mm (100% ET0). PE: polyethylene mulch film; B1: Fully biodegradable mulch; B2: Thermo-oxygen-biodegradable mulch; B3: Fully biodegradable mulch. WPc: crop water productivity. Different letters within a column and experimental year represent significant differences at P <0.05. * and ** represent a significant difference at the 5 and 1% levels. respectively; ns represents no significant difference at the 5% level.
Combining the yield components, the decrease in the number of bolls per plant and boll weight per boll was the main reason for the decrease in seed cotton yield with increasing irrigation under W1 and W2. For instance, in 2021, the number of bolls per plant and the weight of individual bolls for B2 cover under W1 were 5.29 Pro·Plant−1 and 5.16 g, representing reductions of 7.36 and 7.86%, respectively, compared to PE. However, WPc consistently decreased with increasing irrigation. WPc was lowest when the seed cotton yield was highest under B1 and B2.
DiscussionEvaluation methods to determine the degradation effects of biodegradable films
Currently, our nation primarily addresses agricultural residual film pollution through mechanical recovery and the use of biodegradable mulching films. The degradation performance of biodegradable films is a critical factor determining their potential for widespread application. However, variations in their chemical composition, production processes, and environmental conditions result in differing degradation characteristics, leading to uncertainties in crop yields (Chen et al., 2021a). Therefore, controlling the biodegradable mulch degradation process so that its degradation cycle matches the crop growth cycle has become an important technical challenge.
At present, most scholars rely on visual assessment to monitor biodegradable film degradation (Yin et al., 2019; Yang et al., 2023; Sellami et al., 2024; Wang et al., 2024); however, this method is influenced by subjective biases and has limited precision. Some researchers calculate the weight loss rate of films through manual collection or assess the disappearance area of the films by placing them on graph paper (Zhang et al., 2021), but this approach is time-consuming and labor-intensive, delaying outcomes that do not synchronize with the crop production process. Given its advantages of high spatial resolution, low cost, short cycle time, and high repeatability, unmanned aerial vehicle (UAV) low-altitude remote sensing technology has been widely used for crop growth monitoring (Zhao et al., 2019; Su et al., 2018; Li et al., 2022). In recent years, some scholars have also begun preliminary explorations into detecting agricultural film pollution. Yang et al. (2024) and colleagues evaluated a drone-based image segmentation algorithm for residual film and performed field tests for film identification, finding an R2 for UAV-evaluated film pollution and manual evaluation of 0.966. This study also validated the efficacy of the method, employing a color channel threshold segmentation algorithm to achieve precise identification and coverage detection of agricultural residual films. Using this approach, we successfully obtained data on the rate of degradation film damage every 7 days, with an identification accuracy exceeding 89%, indicating a high detection reliability. However, these results are susceptible to interference from contaminants on the film surface, such as dust and water stains. Research by scholars, such as Ha et al. (2020), based on the fusion of optical remote sensing images and radar imagery, has demonstrated that multi-source data fusion technology significantly improves mulch recognition compared to using a single data source. Therefore, subsequent studies should select more stable color components or other easily distinguishable feature variables. The automatic classification accuracy and anti-interference capability for residual mulch films of different colors can be systematically enhanced by incorporating multi-source data fusion technology.
The impact of biodegradable film coverage on moisture movement in cotton fields
The application of mulching technology effectively preserves soil moisture. A sealed space of 2–5 mm is formed between the film and the surface soil layer, obstructing the direct exchange of soil moisture with the atmosphere (Zhou et al., 2009; Liu et al., 2016). This spatial structure confines the water vapor generated by evaporation to a limited range, significantly enhancing the relative humidity of the air beneath the film and creating an internal moisture circulation system between the film and the soil surface. This fundamentally alters the open movement pattern of soil moisture under traditional uncovered conditions, suppressing moisture evaporation loss and enabling the topsoil to maintain a higher water content (Sharma and Bhardwaj, 2017; Qin et al., 2018). Furthermore, mulching facilitates the upward movement of deep soil moisture to the surface, which improves the utilization efficiency of deep water, significantly enhancing soil water consumption rates during critical periods of crop water demand (Gu et al., 2016). Our results indicate that the moisture-retaining effect of biodegradable films is inferior to that of conventional polyethylene films, with B3 exhibiting the lowest moisture content during the early growth stage. Irrigation begins in the mid-growth stage of cotton, coinciding with increasing temperatures and evaporation. Notably, the soil moisture content across all treatments began to vary significantly, with all three biodegradable films showing a lower soil moisture content under W1 and W2 compared to PE. In the later cotton growth stages, when the irrigation depth increased to W3, the soil moisture content beneath B1 approached that of PE, while the moisture content beneath B2 and B3 increased to varying degrees, but remained lower than that of PE and B1. This is attributed to the increased ineffective evaporation of soil moisture following film degradation, which diminishes their water retention capacity and subsequently reduces the soil moisture content. As the irrigation depth increases, robust plant growth leads to a denser canopy coverage, reducing soil evaporation and enhancing the soil moisture content.
The moisture content of the surface soil significant fluctuates due to the dual influences of plant root absorption and surface evaporation (Liebhard et al., 2022; Fang et al., 2022). During specific growth stages, crops experiencing water stress may benefit from moderate irrigation, which can induce a compensatory growth effect. However, excessive irrigation negates this compensatory effect and leads to adverse phenomena such as delayed maturation and excessive vegetative growth (Cui et al., 2015; Comas et al., 2019). Excessive irrigation may trigger excessive vegetative growth and delay maturity. These findings align with previous research, indicating that biodegradable film degradation begins during the cotton flowering stage, weakening its moisture retention capability and resulting in a lower soil moisture content compared to the control PE film. However, under W3, the soil moisture content in the 0–30 cm layer increased across all treatments, particularly for B1, which exhibited a 3.72% higher moisture content than the control PE film. This suggests that increasing the irrigation depth enhances the lateral movement of soil moisture beneath the biodegradable film, leading to moisture accumulation in the upper soil layers and reducing ineffective water, which facilitates efficient water use. Under PE mulch in 2022, the soil moisture content in the 50–80 cm layer at the W3 irrigation depth registered 33.55%, representing increases of 19.62% and 63.06% compared to W2 and W1, respectively. This may be because the non-degradable PE film enhanced its vertical moisture movement capacity with increased irrigation depth, which results in a higher moisture level in the lower soil layers. Contributing to excessive vegetative growth in cotton bolls and consequently reducing yield.
The impact of biodegradable film coverage on water consumption and crop water productivity in cotton fields
ET typically comprises soil evaporation and plant transpiration. Studies have shown that increased irrigation leads to a higher crop LAI, which enhances transpiration (Zuo et al., 2023). This indicates that the impact of irrigation on latent heat flux involves changes in soil evaporation and transpiration (Li et al., 2024). In arid and semi-arid regions, where drip irrigation under mulch is predominant, the effects of irrigation and mulching methods on ET changes warrant in-depth investigation. Irrigation influences farmland ET by affecting soil moisture (Guo and Li, 2024). When irrigation is insufficient, the soil moisture in the root zone drops below the crop’s critical threshold. Restricted stomatal conductance strongly suppresses transpiration, decreasing ET. Increasing the irrigation volume improves water conditions, resulting in a higher LAI. This makes transpiration the dominant component of ET and suppresses ineffective evaporation from surface soil through the shading effect of leaves (Zuo et al., 2023; Gong et al., 2024). This creates a synergistic effect of “enhanced transpiration and suppressed evaporation,” which aligns with the findings of this study. The present study observed that as irrigation depth increased, E/ET gradually decreased because additional irrigation compensated for water demand during the cotton flowering and boll stages, increasing plant LAI. However, a higher LAI did not increase soil water consumption. Due to inter-leaf shading, more surface soil was covered, inhibiting ineffective soil evaporation. These results indicate that appropriately increasing the irrigation depth can balance inter-row evaporation under biodegradable mulch, producing a suppression effect similar to that of PE mulch.
The application of mulching significantly enhances soil moisture conditions due to its physical barrier properties. Research has demonstrated that the impermeability of mulch suppresses soil moisture evaporation, maintaining a stable soil water content and exhibiting remarkable water retention effects (Sharma and Bhardwaj, 2017; Burato et al., 2025). During the early stages of coverage, the use of standard PE film can reduce soil evaporation by up to 90%. In a study conducted in the eastern Loess Plateau, Chai et al. (2022) confirmed that mulching significantly increased the soil moisture content, decreased soil evaporation, and enhanced plant transpiration compared to uncovered treatments. This moisture regulation effect displays distinct phase characteristics. In the early coverage stage, when the crop canopy has yet to develop, field water consumption is driven by soil evaporation. The physical barrier of the mulch disrupts vapor exchange between the soil and atmosphere, effectively curbing moisture loss (Deng et al., 2022). In the later coverage stages, as crops develop and canopy coverage increases, the interception of solar radiation by leaves reduces the energy reaching the soil surface, diminishing soil evaporation (Sadras et al., 1991). Despite enhanced transpiration from the crops, the overall reduction in water consumption remains limited. Some studies have shown that the water consumption intensity in mulched fields may surpass that of uncovered treatments (Tan et al., 2022), which is attributed to the warming effect of the mulch, which promotes crop growth. Although soil evaporation continues to be suppressed, vigorous plant transpiration increases water consumption overall. Our study showed that the increase in water consumption in cotton fields utilizing biodegradable films was primarily due to a significant increase in soil evaporation following biodegradable film rupture (increased significantly by 91.06 mm in 2021 and 67.47 mm in 2022), although transpiration under the biodegradable film decreased (with significant decreases of 66.53 mm in 2021 and 38.74 mm in 2022). Furthermore, this study revealed that as the irrigation depth increased, the disparity in the soil moisture content between cotton fields under B1 and those under PE gradually diminished, becoming statistically insignificant. This occurs because the increased irrigation depth compensates for the moisture demands in cotton during the flowering and boll-setting stages, promoting robust growth and maintaining a larger canopy and shaded area, which inhibits ineffective soil evaporation.
The process of vapor transfer and transformation beneath the mulch is relatively complex. Once water vapor condenses under the film, the subsequent diffusion of vapor into the atmosphere through secondary evaporation is difficult to measure using conventional methods. The vapor evaporating from film seams due to damage is also difficult to quantify. To estimate soil evaporation in mulched fields, studies have employed miniature evaporation devices. However, to estimate soil evaporation in agricultural fields, many studies have used a micro-evapotranspiration meter, but the evaporation process of soil under a membrane covering is complicated, as the evaporated water vapor adhering to the membrane forms condensed water, condensed water undergoes secondary evaporation, becoming water vapor, which diffuses through the membrane seam to the atmosphere. The use of a micro-evapotranspiration meter to determine the problem of evaporation in the soil under the membrane needs to be verified in further experiments.
As an efficient water-saving agricultural practice, mulching has been widely adopted in agricultural production. Studies have shown that the use of ground cover increases crop yields by 45.5%, on average, while increasing water use efficiency by 58.0% (Sun et al., 2020). Water is the primary limiting factor for crop growth and yield formation in arid and semi-arid regions (Isaev et al., 2021). Increasing irrigation promotes the accumulation of crop photosynthates and prevents the yield reduction caused by insufficient water supply. Although this enhances crop yield and economic benefits, water productivity does not improve significantly and may even decrease. However, excessive moisture can stimulate vigorous growth of the plant’s aboveground vegetative organs, reducing the root-to-crown ratio, leading to premature canopy closure and severe shedding of buds and fruit, and decreasing light and air permeability in the field, which reduces yield (Li et al., 2024). Appropriate water can coordinate cotton root and crown growth, maintain an appropriate root–crown ratio, improve dry matter accumulation, coordinate reproductive growth, promote the use of photosynthetic products in product organ operation and distribution, create conditions favorable for boll yield, and result in water-savings and high yield, shaping cotton for mechanical harvesting (Wang et al., 2019). The findings of this study align with those of previous research, indicating that B1 under W3 is more advantageous for the transport of photosynthetic assimilates to cotton bolls, increasing the number of bolls per plant and boll weight, which enhances yield. In contrast, under W1 and W2, insufficient water supply decreases the amount of photosynthetic products in cotton covered by B1, B2, and B3, slowing the growth rate of reproductive organs and significantly decreasing yields below those achieved with PE.
Furthermore, preliminary findings of this study demonstrate that although biodegradable mulch films involve higher production costs, they eliminate subsequent expenses associated with retrieval and disposal (Zhang et al., 2025). By applying an optimized irrigation depth of 495 mm, the yield risks potentially induced by premature degradation can be fully mitigated, thereby establishing economic feasibility. More importantly, from an environmental perspective, fully biodegradable mulch film (B1) fundamentally eliminates the long-term adverse effects of plastic residues on soil structure, microbial activity, and crop root development, thereby preventing irreversible damage to farmland ecosystems caused by “white pollution”. Hence, under the optimized W3 irrigation regime, the adoption of biodegradable mulch film represents a strategic approach that harmonizes short-term economic benefits with long-term environmental sustainability. However, the implementation of this strategy must take into account local water resources and their utilization efficiency. To that end, our subsequent research will focus on employing more precise irrigation scheduling to target limited water resources specifically during the mid-to-late growth stages, when cotton is most sensitive to water availability. The objective is to further reduce irrigation depth without compromising yield in cotton fields using biodegradable mulch, thereby addressing severe water scarcity challenges.
The perspectives and limitations of this study
As a novel agricultural covering material, biodegradable film possesses the advantages of traditional plastic mulches and mitigates the issue of residual pollution, establishing a foundation for its application in the agricultural sector (Wang et al., 2022). However, current information on the impacts of biodegradable mulch films and their derived microplastics and additives on agricultural ecosystems remains limited (Xiong et al., 2024). Many related mechanisms and conclusions remain uncertain. Its uncontrollable degradation characteristics pose a significant barrier to its widespread use (Liu et al., 2022). To address this challenge, researchers are investigating methods to regulate the degradation rate. For instance, by adjusting the formulation, structure, and processing techniques of the film, controllable degradation rates can be achieved under varying environmental conditions. This adaptability enables the selection of biodegradable films with suitable degradation rates tailored to different crop growth cycles and regional climatic characteristics, enhancing their efficacy and environmental compatibility. This approach necessitates extensive research and experimentation and requires substantial investment of time, resources, and manpower, which results in high development costs and poses commercial limitations on its application in agricultural production. Furthermore, the uncontrollable degradation process of biodegradable mulch results in a time gap between the physiological needs of crops and field management, reducing crop yields, which explains why it has not been popularized on a large scale.
Image segmentation involves the separation of distinct regions within an image based on specific criteria, enabling the extraction of ROIs. It serves as a critical preprocessing step for such tasks as image recognition, scene analysis, and object detection. Researchers have applied image processing techniques to mulch film identification. Ha et al. (2020) developed a robust remote sensing methodology for monitoring plastic mulch-covered croplands, utilizing spectral and textural features from Landsat-8 OLI imagery and various pixel-based classifiers, and enhanced this approach by integrating fully polarimetric synthetic aperture radar data, resulting in more accurate mapping of these agricultural fields. Building on this, the present study conducted field experiments from 2021 to 2022, utilizing a method based on supervised classifiers to monitor the degradation area of biodegradable mulch film. This approach is impervious to external interferences, enabling accurate identification of the biodegradable mulch film rupture area. Under these conditions, we can precisely determine the evaporation and transpiration processes in cotton fields under varying biodegradable mulch film coverage areas, effectively guiding irrigation practices and preventing the disconnect between biodegradable mulch application and cotton production. Moreover, it reveals the compensatory mechanisms by which increased irrigation depth mitigates decreases in the soil moisture and cotton yield under biodegradable mulch film coverage. At an irrigation depth of 495 mm, biodegradable mulch film can effectively replace traditional plastic mulch, providing a theoretical foundation for the green and sustainable development of cotton production in arid regions of Northwest China.
Conclusion
This study employed the color channel threshold segmentation method to realize the accurate and quantitative monitoring of the process of biodegradable mulch film damage, and overcame the limitations of the traditional visual method, which is highly subjective and the serious lag of the weight loss method. Under the coverage of biodegradable mulch film, for every 1% increase in the damage rate, soil evaporation increased by 0.34 mm·d−1 (R2 = 0.6027, n = 1613, and p = 0.028), revealing the direct driving mechanism of degradation processes on water loss. More importantly, the study demonstrates that under typical arid and semi-arid ecological conditions, implementing an optimized irrigation regime of 495 mm can effectively compensate for water stress caused by plastic mulch degradation. This approach increases soil moisture content by 5.29–15.37% and significantly elevates the proportion of crop water use dominated by transpiration efficiency. Ultimately, it drives cotton yield increases of 5.50–14.55%. This achievement provides a systematic solution combining precise monitoring methods with quantitative irrigation strategies, addressing the dual challenges of agricultural white pollution and efficient water resource utilization in arid and semi-arid regions.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author contributions
HZ: Writing – original draft, Data curation, Funding acquisition, Writing – review & editing. DW: Data curation, Investigation, Resources, Writing – original draft, Project administration. XZ: Investigation, Project administration, Data curation, Writing – original draft. ZL: Writing – review & editing, Data curation. TJ: Data curation, Writing – original draft. HL: Formal Analysis, Data curation, Writing – original draft. YW: Data curation, Writing – original draft. TL: Validation, Supervision, Methodology, Project administration, Funding acquisition, Writing – review & editing, Investigation, Resources, Visualization. QT: Writing – review & editing, Funding acquisition, Resources, Formal Analysis, Project administration, Supervision, Validation, Methodology, Data curation.
Acknowledgments
Thanks to my tutors and classmates for contributions. Thanks to everyone who helped me finish the experiment. Thanks to the journal editor and all experts for their suggestions.
Conflict of interest
Authors DW was employed by Xinjiang Jinfengyuan Seed Industry Co., LTD.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
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Edited by: Qi Wu, Shenyang Agricultural University, China
Reviewed by: Yonghui Liang, Shihezi University, China