Journal of Global Change Data & Discovery2019.3(4):317-325

[PDF] [DATASET]

Citation:Yuan, Y., Dai, X. Q., Wang, H. M.Greenhouse Gas Fluxes Dataset Effected by Land-use Conversion from Double Rice Cropping to Vegetables in Southern China[J]. Journal of Global Change Data & Discovery,2019.3(4):317-325 .DOI: 10.3974/geodp.2018.01.16 .

Greenhouse Gas Fluxes Dataset Effected by Land-use Conversion from Double Rice Cropping to Vegetables in Southern China

Yuan, Y.1  Dai, X. Q.2*  Wang, H. M. 2

1. Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China;

2. Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

 

 

Abstract: The experimental fields are located at the Qianyanzhou Ecological Research Station (26º44′48″N, 115º04′13″E), operated by Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences. We converted a portion of the area under rice which had been continuously cultivated with rice for approximately 10 years to vegetable production. The treatments included rice with (R-F) and without fertilization (R-NF) and vegetable with (V-F) and without fertilization (V-NF). There were four spatial replicates for each treatment. We also set up a sub-treatment for removing vegetation in each plot (-no plant). The static opaque chambers and gas chromatographs (GCs) were used to determine the fluxes of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) in situ for two years. We studied the greenhouse gas fluxes changes at the beginning period of the land-use conversion from double rice cropping to upland vegetables. Besides, the effect of fertilization and the crops on the fluxes of CH4, N2O and CO2 were investigated. This dataset includes: 1) Management information of the paddy and vegetable fields; 2) CH4 fluxes of each treatment from July 2012 to July 2014; 3) N2O fluxes of each treatment from July 2012 to July 2014; 4) CO2 fluxes of each treatment from July 2012 to July 2014; 5) Soil ammonium and nitrate nitrogen content of 0-20 cm of paddy and vegetable fields; 6) Soil pH of 0-10, 10-20 cm of paddy and vegetable fields; 7) Daily air temperature and precipitation of the experimental area; 8) The water depth of paddy fields. The data set is archived at .xls format with the compressed data size of 286 KB. The analysis papers based on this dataset were published at PLoS ONE ( 2016) and Chinese Journal of Applied Ecology (2015).

Keywords: Land-use conversion; CH4; N2O; CO2; China

1 Introduction

Carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) are the most important greenhouse gases[1]. Agricultural lands accounts for 52% and 84% of global anthropogenic CH4 and N2O emissions and may also act as a sink or source for CO2[2]. Rice and vegetables are major crops grown in southern China. Because of the different growing conditions (standing water in rice vs. aerobic condition in vegetables), greenhouse gas (GHG) emissions can be different between the two cropping systems[35]. In standing water or anaerobic condition, CH4 is emitted under rice primarily through aerenchyma, diffusion, and ebullition[6]. Nitrous oxide is emitted through denitrification in water-logged condition under rice[7] and the emissions can be pronounced when flooded fields are drained or N fertilized[8]. Studies indicate that CH4 emissions can be higher and N2O emissions lower under rice than other crops[4,9]. Nishimura et al.[3,4] found that the cumulative CH4 fluxes were 2 to 14 g C m2 yr1 under lowland rice and ranged from -0.02 to -0.07 g C m2 yr1 under upland rice and the double cropping of soybean and wheat. They found that cumulative N2O emissions increased 4.0 to 5.3 times by changing the land-use from lowland rice to upland crops[3].

The static opaque chambers and gas chromatographs (GCs) were used to determine the fluxes of CH4, N2O and CO2 in situ for two years. We studied the greenhouse gas fluxes changes at the beginning period of the land-use conversion from double rice cropping to upland vegetables. Besides, the effect of fertilization and the crops on the fluxes of CH4, N2O and CO2 were investigated.

2 Metadata of Dataset

The metadata of land-use conversion from double rice cropping to vegetables affects greenhouse gas fluxes in southern China dataset is summarized in Table 1. It includes the dataset full name, short name, authors, year of the dataset, temporal resolution, spatial resolution, data format, data size, data files, data publisher, and data sharing policy, etc[10].

Table 1  Metadata summary of the Land-use conversion from double rice cropping to vegetables affects greenhouse gas fluxes in southern China

Items

Description

Dataset full name

Greenhouse gas fluxes dataset effected by land-use conversion from double rice cropping to vegetables in Southern China[10]

Dataset short name

GreenhouseGasFluxLUCSChina

Authors

Yuan, Y. G-1444-2018, Anhui Normal University, yuanye_1985@126.com

Dai, X. Q. I-2852-2018, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, daixq@igsnrr.ac.cn

Wang ,H. M. I-3012-2018, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, wanghm@igsnrr.ac.cn

Geographical region

Qianyanzhou Ecological Research Station (26º44′48″N, 115º04′13″E), operated by Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences

Year

July 2012 to July 2014

Observation interval

Data were collected every 3 days, and when fertilizer was applied, we collected data every day for a week, and we collected data every week in winter

Experimental plot

Each plot had an area of 10 m × 12 m, and the distance between adjacent plots is 1.5-3 meters

Data format

.xlsx

Data size

286 KB (after compression)

Data files

1) Management information of the paddy and vegetable fields; 2) CH4 fluxes of each treatment from July 2012 to July 2014; 3) N2O fluxes of each treatment from July 2012 to July 2014; 4) CO2 fluxes of each treatment from July 2012 to July 2014; 5) Soil ammonium and nitrate nitrogen content of 0-20 cm of paddy and vegetable fields; 6) Soil pH of 0-10, 10-20 cm of paddy and vegetable fields; 7) Daily air temperature and precipitation of the experimental area; 8) The water depth of paddy fields

Foundation(s)

Ministry of Science and Technology of P. R. China (2012CB417103) and National Natural Science Foundation of China (31700415)

Data publisher

Global Change Research Data Publishing & Repository, http://www.geodoi.ac.cn

Address

No. 11A, Datun Road, Chaoyang District, Beijing 100101, China

Data sharing policy

Data from the Global Change Research Data Publishing & Repository includes metadata, datasets (data products), and publications (in this case, in the Journal of Global Change Data & Discovery). Data sharing policy includes: (1) Data are openly available and can be free downloaded via the Internet; (2) End users are encouraged to use Data subject to citation; (3) Users, who are by definition also value-added service providers, are welcome to redistribute Data subject to written permission from the GCdataPR Editorial Office and the issuance of a Data redistribution license; and (4) If Data are used to compile new datasets, the ‘ten percent principal’ should be followed such that Data records utilized should not surpass 10% of the new dataset contents, while sources should be clearly noted in suitable places in the new dataset[11]

3 Methods

3.1 Study Area

In July 2012, we converted a portion of the area under rice to vegetable production by draining water from the field while leaving the remaining land under rice. The double-rice system, which is comprised of early rice (transplanted in April and harvested in late July) and late rice (transplanted in late July and harvested in November), was adopted as usual with a fallow in the winter. The converted vegetable areas were planted with three kinds of vegetables a year in turn. Each cropping system had two fertilization levels, e.g., conventional fertilization and no fertilization. Thus, the experiment included four treatments in a split plot arrangement in randomized complete block design with four replications. Land use (or crop type) was the main plot and fertilization was the split-plot treatment. The treatments included vegetable with (V-F) and without fertilization (V-NF) and rice with (R-F) and without fertilization (R-NF). Each plot had an area of 120 m2 (10 m × 12 m). A sub treatment without vegetation (2 m × 2 m) was set up in each plot and had the same agricultural operations as normal treatments. Compound fertilizer (N??P2O5??K2O = 15%??15%??15%) and urea were applied at a rate of 358 kg N ha1 per year to the fertilized plots according to the local typical agricultural management. Conventional tillage was carried out at the beginning of each growing season. Management information of the rice and vegetable fields were shown in Table 2.

3.2 Measurement of the greenhouse gas fluxes

A static chamber was used to simultaneously measure CH4, CO2 and N2O fluxes[12]. The chamber was comprised of two parts: a cylindrical steel anchor and a cover (Figure 1). The internal diameter of the anchor was 50 cm. The anchor was inserted into the soil to a depth of 15 cm for rice and 10 cm for vegetables. The bottom part of the anchor inserted into the soil contained holes for water and nutrient exchange between inside and outside of the anchor. The groove on the upper



part of the anchor was equipped with a sealing strip to ensure that gas does not leak from the joint of the anchor and the cover box when gas samples were collected. The anchor was kept in place throughout the entire study period, except during tillage and planting. The cover had heights of 40 cm (used for vegetables) and 70 cm (used for rice) and internal diameter was 50 cm. Before starting the experiment measurements of greenhouse gas fluxes in the bare soil from the chambers with two different heights showed that the height had no significant effect on gas fluxes. A tin foil reflective coating was used to cover the chamber to minimize solar heating and fluctuations in the headspace temperature. Five seedlings of rice or three seedlings of vegetables were planted inside the anchor. The planting density inside the chamber was similar to that of the crop planted outside.

Five gas samples were collected from each chamber using 100 mL plastic syringes at 10-min interval twice each week between 8:00 AM and 12:00 PM throughout the growing season. Immediately after tillage, fertilization, irrigation or drainage, however, samples were collected daily for one week. The gas samples were analyzed using a gas chromatograph (GC System, 7890A, Agilent Technologies) equipped with an electron capture detector (ECD) and a flame ionization detector (FID). CH4, N2O and CO2 fluxes were calculated from linear or nonlinear changes in the gas concentrations over time[1314]. The lowest accepted correlation coefficient (r) value for the regression of CH4, N2O and CO2 evolutions was 0.87. When the absolute value of r from the nonlinear model minus that from the linear model was equal to or less than 0.000,2, the fluxes from the linear model were adopted and vice versa.

Figure 1  Design of the static chamber used for measuring greenhouse gas fluxes[15]

4 Results and Validation

4.1 Data Composition

We obtained the following data from July 2012 to July 2014.

1) Management information of the paddy and vegetable fields.

2) CH4 fluxes of each treatment from July 2012 to July 2014.

3) N2O fluxes of each treatment from July 2012 to July 2014.

4) CO2 fluxes of each treatment from July 2012 to July 2014.

5) Soil ammonium and nitrate nitrogen content of 0-20 cm of paddy and vegetable fields.

6) Soil pH of 0-10, 10-20 cm of paddy and vegetable fields.

7) Daily air temperature and precipitation of the experimental area.

8) The water depth of paddy fields.

4.2 Data Products

The results indicate that land-use conversion from rice to vegetables significantly reduced CH4 fluxes and significantly increased N2O fluxes. The conversion had inconsistent effects on CO2 fluxes across seasons (Figure 2, Table 3, 4, 5). The total global warming impact of the three greenhouse gases was significantly increased after the land-use conversion from paddy to vegetables. Fertilization had no significant effect on CH4 fluxes, while significantly increased N2O and CO2 fluxes and had an interaction with land-use types. The changes of CH4, N2O and CO2 fluxes with the land-use conversion from paddy to vegetable fields were caused by the changes of soil properties and the changes of crop types together. The authors partially elaborated on the results in “Effects of Land-Use Conversion from Double Rice Cropping to Vegetables on Methane

Figure 2  Seasonal variations of CH4 fluxes and the water depth of paddy fields. The data shown are means of the four replicates for individual treatments

Table 3  Cumulative emissions of CH4 in the observing period and each growing season (kg C ha–1)

Season 1

Season 2

Season 3

Season 4

Season 5

Season 6

Year 1

Year 2

Two years

R-F

206.15±
58.01a

0.34±
0.17a

151.90±
34.73a

42.66±
9.32ab

0.11±
0.49a

136.91±
23.90a

358.39±
91.76a

179.68±
30.96a

538.07±
120.12a

R-NF

167.16±
31.61a

0.85±
0.38a

153.68±
23.02a

88.04±
31.04a

-0.20±
0.27a

86.34±
16.16b

321.69±
50.60a

174.18±
29.68a

495.88±
75.82a

V-F

0.29±
0.29b

-0.02±
0.19a

-0.76±
0.28b

0.15±
0.09b

-0.47±
0.36a

-0.35±
0.19c

-0.48±
0.32b

-0.67±
0.53b

-1.15±
0.68b

V-NF

0.70±
0.74b

0.82±
0.76a

-0.13±
0.14b

-0.44±
0.06b

-0.37±
0.18a

-0.16±
0.14c

1.39±
1.37b

-0.97±
0.10b

0.42±
1.27b

Land use (L)

P<0.01

P= 0.67

P<0.01

P<0.01

P=0.30

P<0.01

P<0.01

P<0.01

P<0.01

Fertilization (F)

P= 0.57

P= 0.15

P= 0.96

P=0.19

P=0.78

P=0.11

P=0.75

P=0.90

P=0.78

L×F

P= 0.56

P= 0.71

P= 0.98

P=0.18

P=0.56

P=0.10

P=0.72

P=0.91

P=0.76

Note: Different letters within the same column represent significant differences among treatments.

and Nitrous Oxide Fluxes in Southern China”[15] and “Effects of land-use conversion from double rice cropping to vegetables on methane and carbon dioxide fluxes in southern China”[16].

Table 4  Cumulative emissions of N2O in the observing period and each growing season (kg C ha–1)

Season 1

Season 2

Season 3

Season 4

Season 5

Season 6

Year 1

Year 2

Two years

R-F

0.32±
0.10c

0.51±
0.14c

0.41±
0.03b

2.65±
0.87a

0.38±
0.16a

0.19±
0.05b

1.24±
0.18c

3.22±
1.01bc

4.46±
0.89c

R-NF

0.21±
0.09c

0.14±
0.04c

0.19±
0.02b

0.35±
0.01b

0.35±
0.18a

0.18±
0.10b

0.54±
10.15c

0.88±
0.20c

1.41±
0.22c

V-F

3.99±
0.16a

7.56±
0.63a

7.67±
1.67a

1.36±
0.35ab

0.64±
0.17a

5.19±
1.79a

19.21±
2.10a

7.19±
1.98a

26.40±
3.37a

V-NF

1.84±
0.42b

2.03±
0.53b

4.55±
1.15a

1.98±
0.52ab

0.87±
0.36a

2.41±
0.28ab

8.42±
1.80b

5.25±
0.96ab

13.67±
1.18b

Land use (L)

P<0.01

P<0.01

P<0.01

P=0.76

P=0.12

P<0.01

P<0.01

P<0.01

P<0.01

Fertilization (F)

P<0.01

P<0.01

P=0.13

P=0.14

P=0.66

P=0.15

P<0.01

P=0.10

P<0.01

L×F

P<0.01

P<0.01

P=0.18

P<0.05

P=0.59

P=0.15

P<0.01

P=0.87

P<0.05

Note: Different letters within the same column represent significant differences among treatments.

Table 5  Cumulative emissions of CO2 by ecosystem respiration in the observing period and each growing season (kg C ha–1)

Season 1

Season 2

Season 3

Season 4

Season 5

Season 6

Year 1

Year 2

Two years

R-F

5,346.01±
145.21bc

2,492.47±
178.95a

4,307.28±
257.77a

3,196.60±
245.60a

2,486.75±
369.84a

3,523.25±
164.38a

12,145.76±
358.36a

9,206.60±
694.64a

21,352.36±
1,013.00a

R-NF

3,654.73±
313.10c

2,231.48±
298.86a

3,146.98±
390.71b

2,613.04±
236.72a

2,221.52±
199.88ab

2,476.20±
311.75b

9,033.19±
584.24b

7,310.76±
505.46b

16,343.95±
1,069.88b

V-F

7,223.02±
576.56a

2,718.48±
365.69a

2,018.84±
280.26c

963.21±
156.77b

1,626.36±
100.30b

1,868.03±
356.04bc

11,960.34±
1,025.26a

4,457.59±
329.33c

16,417.94±
1,308.90b

V-NF

5,854.97±
931.50ab

2,274.26±
283.39a

2,859.25±
272.39bc

1,094.23±
258.74b

1,989.74±
182.40ab

1,330.31±
204.78c

10,988.48±
1,324.47ab

4,414.27±
260.35c

15,402.75±
1,415.45b

Land use (L)

P<0.01

P=0.65

P<0.01

P<0.01

P<0.05

P<0.01

P=0.35

P <0.01

P<0.05

Fertilization (F)

P<0.05

P=0.25

P=0.61

P=0.34

P=0.84

P<0.05

P<0.05

P=0.07

P<0.05

L×F

P=0.78

P=0.76

P<0.01

P=0.14

P=0.21

P=0.37

P=0.26

P=0.08

P=0.13

Note: Different letters within the same column represent significant differences among treatments.

5 Discussion and Conclusion

Previous studies about greenhouse gas emissions from paddy and vegetable fields were only comparison between rice paddy fields and vegetable fields that have been planted for several years, ignoring the differences in the initial conditions of the plots[17]. And most of the studies did not consider the effect of transition time[18]. In this research, we converted part of the paddy which had been continuously cultivated with rice to vegetable production to ensure that the initial conditions were the same between the two land-use types. Both the changes of soil properties and the changes of crop types have effect on greenhouse gas emissions. However, most of the previous studies did not differentiate their influence. In the present study, sub treatments without vegetation were set up to differentiate the effect of soil properties and crop types on greenhouse gas fluxes.

Author Contributions

Dai, X. Q. and Wang, H. M. designed the algorithms of dataset; Dai, X. Q. and Yuan, Y. contributed to the data processing and analysis; Yuan, Y. wrote the data paper.

Acknowledgements

We thank Li, B., Xie, Y., Liu, C. H. for their substantial assistance in the field measurements.

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