GASEOUS REACTIVE NITROGEN LOSSES FROM ORCHARDS, VEGETABLES AND TEA PLANTATIONS

Jinyang WANG , Pinshang XU , Haiyan LIN , Shumin GUO , Zhaoqiang HAN , Jianwen ZOU

Front. Agr. Sci. Eng. ›› 2023, Vol. 10 ›› Issue (2) : 155 -166.

PDF (2952KB)
Front. Agr. Sci. Eng. ›› 2023, Vol. 10 ›› Issue (2) : 155 -166. DOI: 10.15302/J-FASE-2022477
REVIEW
REVIEW

GASEOUS REACTIVE NITROGEN LOSSES FROM ORCHARDS, VEGETABLES AND TEA PLANTATIONS

Author information +
History +
PDF (2952KB)

Abstract

● Gaseous N emissions from orchards, vegetables and tea plantations (OVT) are reviewed.

● Gaseous N emissions from OVT are greater in China than the rest of the world.

● OVT are hotspots for gaseous N emissions from the agricultural sector in China.

Nitrogen fertilizer application has accelerated the agricultural soil N cycle while ensuring food security. Gaseous reactive N emissions from orchards, vegetables and tea plantations (OVT) are less understood than those from cereal crops. This paper presents a compilation of data on soil ammonia, nitrous oxide, and nitric oxide emissions from 1454 OVT systems at 184 unique experimental locations worldwide aiming to investigate their emission characteristics, emission factors (EF), and contribution to total farmland emissions. NH3 and N2O emissions from orchards and N2O and NO emissions from vegetable production were significantly higher in China than in the rest of the world, regardless of fertilizer application, while N2O emissions from tea plantations were lower than for vegetables. The EF of NH3 for vegetables was close to the global mean value with urea application but significantly higher than that of orchards. The EF of N2O in orchards and vegetables was comparable to the global median value, while in tea plantations, the value was 2.3 times higher than the global median value. Current estimates suggest that direct emissions of NH3, N2O, and NO from OVT systems are equivalent to approximately a quarter, two thirds and a half of the total farmland in China, respectively. Future research needs to strengthen observational field studies in establishing standard sampling methods for gaseous N emissions and implementing knowledge-based management measures to help achieve the green development of agriculture.

Graphical abstract

Keywords

fruit / greenhouse gas / green development / fertilizer management / climate change

Cite this article

Download citation ▾
Jinyang WANG, Pinshang XU, Haiyan LIN, Shumin GUO, Zhaoqiang HAN, Jianwen ZOU. GASEOUS REACTIVE NITROGEN LOSSES FROM ORCHARDS, VEGETABLES AND TEA PLANTATIONS. Front. Agr. Sci. Eng., 2023, 10(2): 155-166 DOI:10.15302/J-FASE-2022477

登录浏览全文

4963

注册一个新账户 忘记密码

1 INTRODUCTION

Increasing anthropogenic-induced reactive N concentrations have accelerated the global N cycle[1]. During the last few decades, anthropogenic processes such as Haber-Bosch industrial processes, biological N fixation from agricultural cultivation and fossil fuel combustion have caused reactive N production comparable to natural processes, such as lightning and biological N fixation[2]. Total reactive N inputs to terrestrial ecosystems have increased significantly over the last century, with synthetic N fertilizer inputs dominating in agroecosystems[3]. The total global production of anthropogenic reactive N is estimated to be 210 Tg·yr−1, of which fertilizer production accounts for about 48%[2,4]. The application of large amounts of chemical fertilizers in agriculture ensures food production but also inevitably has a negative impact on the global environment by increasing reactive N emissions and exacerbating surface source pollution[5].

Gaseous reactive N losses in the form of NH3 volatilization and nitrogen oxide emissions are the main pathways for N losses from agricultural fields. NH3 volatilization is one of the main pathways for N losses from agricultural fields in China[6]. It is estimated that ammonia emissions from agricultural sources in China account for about 90% of the total national emissions, with approximately equal contributions from planting and livestock farming emissions[7]. NH3 volatilization from agricultural soils mainly comes from the ammonification process of urea hydrolysis and nitrate isomerization reduction to ammonium, which is influenced by various factors such as temperature, moisture, crop type, fertilizer application and fertilization practices, and soil properties. Increased ammonia emissions due to excessive or inappropriate application of N fertilizers not only reduce N use efficiency, but also contribute to problems such as haze, dry and wet atmospheric deposition, and indirect greenhouse gas emissions[4]. In addition, as two trace gases of concern, N2O and NO emissions are directly or indirectly involved in global warming with adverse effects on human health and ecosystem function[8,9]. Agricultural soils are the main anthropogenic source of N2O and NO emissions, as N fertilizers applied in agricultural production are essential to increase the substrate for nitrification and denitrification processes[1012]. In 2007–2016, N2O emissions from anthropogenic sources averaged 43% of total emissions (7.3 Tg·yr−1 N), with direct and indirect emissions from N inputs in agriculture accounting for about 52%[13]. NO emissions from N fertilizer application in agriculture are estimated to be 3.7 Tg·yr−1 N, which is about 10% of the global total[9]. Therefore, the use of rational fertilization techniques to improve N use efficiency is a fundamental way to reduce gaseous active N losses from agricultural fields.

Over the past three decades, the changing cropping structure of arable land in China has been driven by the expanding area under cash crops, including orchards, vegetables and tea plantations (OVT). The area planted with cereals increased by 14%, while the cultivated areas of OVT increased by 1.2, 2.3, and 2.2 times, respectively (Fig.1). Studies based on national research questionnaires showed that the average N fertilizer application rate under farmer practices in Chinese OVT was 592, 439 and 491 kg·ha−1 N, respectively, higher than that of major cereal crops such as rice (224 kg·ha−1 N), wheat (212 kg·ha−1 N) and maize (249 kg·ha−1 N)[1416]. High N inputs for cash crop cultivation result in N surpluses about 4-fold higher than those for cereals[15]. A high N surplus usually means an increased potential loss of N from agricultural soils to the environment, leading to a lower N use efficiency. A growing body of experimental evidence indicates that the intensities of gaseous reactive N emissions, especially N2O and NO, from soils grown in OVT are generally greater than from cereal cropping systems[1724]. Therefore, a better understanding of the characteristics of gaseous reactive N emissions from intensive cash crop cultivation and its contribution to the agricultural sector is an essential step toward the green development of agriculture.

In this analysis, we aimed to systematically analyze the intensity, direct emission factors, and total amount of soil gaseous reactive N emissions from OVT systems and compared their differences between China and other regions of the world. To accomplish this, we extracted observations of gaseous N emissions from OVT systems from the databases of the synthesis and meta-analysis studies and established a data set. We focused on answering the following questions. (1) What is the intensity of gaseous reactive N emissions from OVT systems and how do they differ between regions and crop types? (2) What are the fertilizer-induced direct emission factors (EF) for these systems? (3) What is the contribution of gaseous reactive N emissions from OVT systems to croplands in China and the world? Finally, we also briefly highlight some issues that need to be addressed for future research in OVT systems.

2 MATERIALS AND METHODS

We collected data on NH3, N2O, and NO emissions from OVT systems reported in synthesis and meta-analysis studies. Data on NH3 and N2O emissions from orchards were obtained from two recent synthesis studies[20,25]. Data on NH3 emissions from orchards and vegetables were obtained from a database used for an empirical model analysis[26]. Emissions of N2O from tea plantations and NO from OVT systems were obtained from our own database[27] and a recent synthesis study[18], respectively. Available databases for NH3 emissions from vegetable and tea plantations and NO emissions from orchards and tea plantations are only available from China. In these databases, we extracted the following information for each study: coordinates of the test site, crop type, the amount and type of N fertilizer applied and total gaseous N emissions during the test observation period. We excluded some data containing treatments that affected gaseous N emissions, namely, slow-release fertilizers, urease or nitrification inhibitors, biochar and bioorganic fertilizers. The gaseous N emissions data were divided into emissions from fertilized treatments and background emissions (i.e., unfertilized plots) according to whether N fertilizer was applied. We obtained 1454 observations including 185 for NH3, 913 for N2O and 356 for NO.

To compare the differences in gaseous N emissions due to fertilizer application in OVT systems, we collected EF data reported in the literature. These EF values were divided into two categories corresponding to the Tier 1 and Tier 3 methods in the IPCC guidelines for national GHG inventories. Specifically, the Tier 1 approach is based on the arithmetic mean of EFs from multiple independent studies, while Tier 3 is an empirical model that fits the relationship between N fertilizer inputs as a function of gaseous N emissions. We also collected the results of existing studies on estimating total gaseous N emissions from OVT systems. Data on the area cultivated of OVT systems in China from 1990 to 2020 were obtained from the National Statistical Yearbook[28].

3 STATISTICAL ANALYSIS

We used the non-parametric Wilcoxon signed-rank test to test for differences in gaseous N emissions across regions or between crops. All statistical analyses and plotting were performed in R software[29].

4 RESULTS AND DISCUSSION

4.1 Background emissions and fertilization-induced gaseous N emissions

We compiled observational data on gaseous N emissions in OVT systems over the past four decades. Our database contains 1454 observations from 184 unique experimental locations worldwide, of which 70% are from China and the rest from other regions of the world (Fig.1). Among these observations, OVT accounted for 27%, 55% and 18%, respectively. In terms of gas type, the dominant gas type was N2O (63%), followed by NO (24%) and NH3 (13%). Thus, these findings suggest that China is a hotspot for in situ field observations for these cash crop cropping systems. These studies not only help to understand the characteristics and drivers of gaseous N emissions in diverse cropping systems but also provide a basis for understanding the impact of increasing anthropogenic reactive N on climate and air quality and developing abatement strategies.

The magnitude of gaseous N emissions under fertilization conditions varied significantly among gas types, crops and regions (Fig.1). Overall, the magnitude of gaseous N emissions due to fertilizer application was ranked as NH3 > N2O > NO. The median NH3 and N2O emissions from Chinese orchards were 6.7 kg·ha−1 N (mean ± SD: 14.6 ± 15.9 kg·ha−1 N) and 5.0 kg·ha−1 N (9.7 ± 12.9 kg·ha−1 N), respectively, significantly higher than the corresponding emissions of 2.7 kg·ha−1 N (6.2 ± 9.6 kg·ha−1 N; Wilcoxon signed-rank test, P < 0.01) and 0.9 kg·ha−1 N (1.3 ± 1.9 kg·ha−1 N; P < 0.001) in the rest of the world. Similarly, the median N2O and NO emissions from Chinese vegetable fields were 3.6 kg·ha−1 N (5.8 ± 6.3 kg·ha−1 N) and 1.3 kg·ha−1 N (2.4 ± 4.5 kg·ha−1 N), significantly greater than the corresponding emissions of 1.2 kg·ha−1 N (2.9 ± 3.8 kg·ha−1 N; P < 0.001) and 0.65 kg·ha−1 N (1.2 ± 1.3 kg·ha−1 N; P < 0.001) in the rest of the world. These results suggest that Chinese orchards and vegetable cultivation are global hotspots for gaseous N emissions from the agricultural sector[20,30]. This is mainly attributed to the differences in agronomic management practices such as fertilizer application, irrigation, and tillage among different regions. For example, in our data set the average N application to orchards and vegetables in China (median: 393 and 313 kg·ha−1 N, respectively) was significantly higher than in the rest of the world (80 and 220 kg·ha−1 N, respectively; P < 0.001). Water-efficient irrigation (e.g., drip and sprinkler irrigation) can reduce gaseous N emissions from intensive cropping systems compared to furrow and flood irrigation[31]. In contrast, the median and mean values of N2O emissions from tea plantations in China were 7.0 and 9.4 (± 8.0) kg·ha−1 N, respectively, which were significantly lower than those of 14.8 and 20.6 (±21.1) kg·ha−1 N, respectively, in the rest of the world (P < 0.05). We attribute this difference mainly to the fact that N fertilizer application in tea plantations was lower in China than in the rest of the world (450 vs 514 kg·ha−1 N; P < 0.001). In addition, tea plantation soils in other regions of the world were more acidic compared to China and thus tended to emit more N2O[32,33]. For China, NH3 emissions did not differ among the three cropping systems, while N2O emissions showed a pattern of tea plantations > orchards > vegetables (P < 0.05). Importantly, we found that the magnitude of NO emissions was significantly higher in tea plantations than in the other two cropping systems (P < 0.05), which may be due to the acidic soil environment in tea plantations being more conducive to the occurrence of chemodenitrification with NO as a product[34].

Similarly, under unfertilized conditions, gaseous N emissions varied among gas types, crops, and regions (Fig.1). The median background emissions of NH3 and N2O in Chinese orchards were 6.1 kg·ha−1 N (10.9 ± 10.3 kg·ha−1 N) and 2.3 kg·ha−1 N (6.4 ± 10.2 kg·ha−1 N), significantly higher than the corresponding emissions of 0.8 kg·ha−1 N (0.8 ± 0.3 kg·ha−1 N; P < 0.01) and 0.3 kg·ha−1 N (0.4 ± 0.9 kg·ha−1 N; P < 0.001) in the rest of the world. The median background emissions of N2O and NO from Chinese vegetable production were 1.1 kg·ha−1 N (1.8 ± 2.1 kg·ha−1 N) and 0.2 kg·ha−1 N (0.3 ± 0.4 kg·ha−1 N), which were significantly higher than the corresponding emissions of 0.5 kg·ha−1 N (1.5 ± 2.6 kg·ha−1 N; P < 0.05) and 0.04 kg·ha−1 N (0.1 ± 0.2 kg·ha−1 N; P < 0.01) in the rest of the world. However, background N2O emissions from tea plantations did not differ between China and the rest of the world (median: 1.0 vs 1.3 kg·ha−1 N). For China, we found significantly higher NH3 background emissions from orchards and tea plantations than from vegetable fields (P < 0.001). In comparison, N2O background emissions from orchards were significantly higher than from the other two cropping systems (P < 0.01). NO background emissions from tea plantations were significantly higher than those from vegetables (P < 0.01) but not different from those from orchards. Overall, we found that the magnitude of background emissions of gaseous reactive N was generally greater in Chinese OVT systems than in upland cereals[35].

4.2 EFs of reactive gaseous N

We summarized and compared the EFs of gaseous N among different cropping systems and between China and the world (Tab.1). Three tier methods are included in the national GHG inventory guidelines prepared by the IPCC[48]. Specifically, the default EFs in the Tier 1 approach is calculated by aggregating a large number of EFs from independent observational studies, which are obtained by dividing the difference in emissions of a given gas between fertilized and unfertilized treatments by the total N input. The EFs used in the Tier 2 approach is more refined EFs, such as region- or country-specific, crop-specific, and fertilizer-specific EF. The EFs in this tier approach are the EFs corresponding to different crops in different regions in our case. EFs in the Tier 3 approach are generally obtained based on empirical models or process-based model simulations, as in this review the EFs for this tier approach are all obtained using empirical models.

The EF of different gaseous N varied significantly across crops and regions (Tab.1). The mean EF of N2O emission in Chinese orchards was 1.2% (range: 0.7%–1.72%), which was slightly lower than the world average of 1.4% (0.84%–1.86%)[20,25,37]. The mean EF of N2O emission from Chinese vegetable fields was 0.85% (0.55%–1.7%), and notably lower than the world average of 1.4% (0.93%–2.4%)[17,35,3842,44,45]. The EF of N2O in orchards and vegetables and its variability were comparable with the global mean (1%, range: 0.1%–1.8%)[48]. In contrast, the respective mean EF values of 2.3% and 2.4% for N2O emission in Chinese and global tea plantations were significantly higher than the other two cropping systems and the global mean values[46,47]. This disparity is mainly due to the fact that tea plantations are generally grown in subtropical and tropical regions, and their optimal soil pH range is 4.5–5.5, which are environmental conditions that favor soils with high N2O emissions[49].

Unlike N2O, the EF data available to date for NO and NH3 emissions are relatively sparse (Tab.1). To the best of our knowledge, only Chinese studies have reported NO emissions from orchards and tea plantations and calculated their EFs, corresponding to mean EF values of 0.42 and 1.5%[18]. The EFs of NO emission from vegetables production in China and the world are very similar (1.1% vs 1.2%), although there are significant differences between studies[17,18,35]. The global EF for NH3 emission from orchards was 4.4%, which was significantly lower than the comparable EFs for Chinese and world vegetables (12.5% and 13.3%)[30,35,36]. The lower EF of NH3 emission from orchards may be associated with fertilization and irrigation practices, such as hole or furrow application and water-saving irrigation that tend to reduce NH3 volatilization[31]. We found that the EF of NH3 emission from vegetables production was comparable to the global mean proportion of NH3 loss due to urea application (14.2%)[48]. Therefore, the higher or comparable EF of OVT systems compared to cereal crops implies the need to estimate emissions due to fertilizer application in these systems, as it is a prerequisite for the development of emission reduction strategies.

4.3 Estimation of gaseous N emissions due to fertilizer application

Existing studies have estimated gaseous N emissions due to fertilizer application in OVT systems in China and globally (Tab.2). The total NH3 emissions due to fertilizer application in Chinese OVT systems were about 1.4 Tg·yr−1 N, of which vegetable fields accounted for more than half and orchards accounted for the least[26,30,35]. The total NH3 emission due to synthetic N fertilizer application in Chinese vegetable fields was estimated to be 0.52 Tg·yr−1 N using a uniform EF[30], which is lower than the empirical model-based estimate of 1.1 Tg·yr−1 N[26]. This discrepancy could be explained because the former included only synthetic N fertilizer application and the latter used high-resolution activity data. The large variation between total NH3 emissions from non-cereal crops other than vegetables is indicative of the relatively small number of observations to date. The estimated annual mean NH3 emission from Chinese farmland was 4.7 ± 2.1 Tg·yr−1 N[26]. Thus, current estimates suggest that direct NH3 emissions from synthetic N fertilizer application in OVT systems account for about 23% of the total farmland in China (Fig.2).

In the 2010s, the total direct N2O emissions due to fertilizer application in Chinese vegetable cropping systems was about 62 Gg·yr−1 N but estimates varied significantly between studies, ranging from 50.4 to 74.7 Gg·yr−1 N (Tab.2). This estimate is larger than that based on region-specific EFs (55 Gg·yr−1 N)[51], which may be mainly due to the increase in the area under vegetable cultivation over the past 20 years. Direct N2O emissions from fertilizer application in Chinese vegetable production accounts for about two thirds of the global total[44]. Total direct N2O emissions from fertilizer application in Chinese orchards and tea plantations are comparable in the 2010s with a mean value of about 41 Gg·yr−1 N. However, the lower estimate is because the authors estimated only the top two fruits in China, that is, apples and citrus[50]. Similarly, we found that direct N2O emissions from Chinese tea plantations due to fertilizer application accounted for about two thirds of the global total. Overall, N2O emissions from OVT accounted for 18%, 27% and 18% of total farmland emissions in China, respectively (Fig.2).

To date, two studies have estimated direct NO emissions associated with fertilizer application in OVT systems in China and globally[18,35] (Tab.2). Based on the corresponding EFs mentioned above, the direct NO emissions due to fertilizer application in China are 55.7 and 40.2 Gg·yr−1 N for vegetables and other cash crops, respectively, with NO emissions from Chinese vegetable production accounting for about two thirds of the global total. Apart from vegetables, NO emissions from other cash crops in China are equivalent to 40% of the global total emissions from orchards and tea plantations. The total NO emissions from vegetables and other cash crops in China are estimated to be about half of the national total[35]. Therefore, these estimations indicate that the OVT cropping system in China is a significant source of gaseous N emissions not only in China (Fig.2) but also in the global agricultural sector.

5 PERSPECTIVES AND SUMMARY

Over the last three decades, many field observation studies have been conducted globally on gaseous N emissions from OVT systems, especially in China. Their findings have provided a basis for understanding the characteristics, magnitude, and influencing factors of gaseous N emissions from OVT systems. Based on these observations, different studies have also attempted to estimate direct gaseous N emissions due to fertilizer application in these cropping systems, but the differences and uncertainties between the estimates are large. More importantly, OVT systems differ from cereal crops in terms of agronomic management such as fertilizer, water and tillage during cropping, which in turn strongly influence gaseous N emissions. For this reason, to better understand the characteristics of gaseous N emissions from OVT systems and their contribution to emission reduction in the agricultural sector, and thus provide a scientific reference for non-CO2 GHG emission reduction in agriculture, we propose that future research needs to focus on the following aspects.

Firstly, there is an urgent need to develop and establish standard sampling guidelines for active gaseous N emissions from OVT systems. In orchards and tea plantations, fertilizer application is usually applied in strips, holes or furrows, which will directly affect the sampling point layout and representativeness of gas collection using the static chamber method. For example, most previous observations in tea plantations were made at the location of fertilizer application between the rows, which inevitably leads to an overestimation of gaseous N emissions, since the intensity of soil emissions between the rows is remarkably higher than under the canopy. For vegetable production, the observed gaseous N emissions under greenhouse conditions are not necessarily representative of what is eventually released into the atmosphere. In this regard, it is unclear whether the differences between gaseous N losses from open-field and greenhouse cultivation reported in existing studies are indicative of actual differences.

Secondly, research is needed to assess the impact of optimized nutrient management and water efficient use practices on gaseous N emissions from OVT systems. The higher N fertilizer application in OVT systems than in cereal crops in existing studies is the major driver of higher gaseous N losses. Although the OVT cultivation area is smaller than other dryland crops, the higher emissions make them deserve priority for emission reduction. Therefore, future research needs to investigate the effects of optimized fertilization practices (e.g., 4R technology), the application of efficiency-enhancing N fertilizers (slow-release fertilizers, urease or nitrification inhibitors), and soil amendments (biochar and bioorganic fertilizers) on gaseous N emissions from OVT systems. Although available experimental evidence indicates that water-efficient irrigation can reduce soil N2O emissions, this reduction effect is weakly represented for horticultural crops, and it remains to be clarified what effect water-efficient irrigation has on NH3 and NO emissions.

Finally, more in situ observations in OVT systems are needed to improve data coverage globally. Evidently, the existing observational studies, regardless of crop type, have mostly been conducted in China, and only sporadically in other regions of the world, although this is partially attributed to differences in cash crop coverage in different countries. Climate conditions and soil properties are the key control factors affecting soil gaseous N emissions on a global scale. Therefore, it is necessary to conduct studies in other major growing regions of the world, thereby reducing the bias in their estimation based on data synthesis. In China, unlike vegetables, the observations of existing studies on orchards and tea plantations are mainly concentrated in a few provinces, such as the lack of observations on tea plantations in south-western and southern and orchards in north-western China.

In summary, we explored the gaseous N emissions, EF and emission estimates from Chinese and global OVT systems using existing research data sets. Our results show that NH3 and N2O emissions from Chinese orchards are notably higher than those from other regions of the world. NH3 emissions from vegetable production in China accounted for more than half of the global total. Nevertheless, we also found that these estimates are still highly uncertain, which is mainly attributed to the low spatial coverage of available data making them less representative. Therefore, we recommend that more observational studies be conducted with broader coverage focusing on establishing standard sampling methods and assessing knowledge-based management measures. These studies will provide a scientific basis for developing strategies when implementing priority abatement in OVT systems.

References

[1]

Fowler D, Coyle M, Skiba U, Sutton M A, Cape J N, Reis S, Sheppard L J, Jenkins A, Grizzetti B, Galloway J N, Vitousek P, Leach A, Bouwman A F, Butterbach-Bahl K, Dentener F, Stevenson D, Amann M, Voss M. The global nitrogen cycle in the twenty-first century. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 2013, 368(1621): 20130164

[2]

Intergovernmental Panel on Climate Change (IPCC). Carbon and Other Biogeochemical Cycles. In: Climate Change 2013—The Physical Science Basis: Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 2014, 465–570

[3]

Bouwman A F, Beusen A H W, Griffioen J, Van Groenigen J W, Hefting M M, Oenema O, Van Puijenbroek P J T M, Seitzinger S, Slomp C P, Stehfest E. Global trends and uncertainties in terrestrial denitrification and N2O emissions. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 2013, 368(1621): 20130112

[4]

Galloway J N, Leach A M, Bleeker A, Erisman J W. A chronology of human understanding of the nitrogen cycle. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 2013, 368(1621): 20130120

[5]

Galloway J N, Townsend A R, Erisman J W, Bekunda M, Cai Z, Freney J R, Martinelli L A, Seitzinger S P, Sutton M A. Transformation of the nitrogen cycle: recent trends, questions, and potential solutions. Science, 2008, 320(5878): 889–892

[6]

Zhu Z, Wen Q, Freney J R. Nitrogen in Soils of China. Dordrecht: Springer, 1997

[7]

Gu B, Ju X, Chang J, Ge Y, Vitousek P M. Integrated reactive nitrogen budgets and future trends in China. Proceedings of the National Academy of Sciences of the United States of America, 2015, 112(28): 8792–8797

[8]

Erisman J W, Galloway J, Seitzinger S, Bleeker A, Butterbach-Bahl K. Reactive nitrogen in the environment and its effect on climate change. Current Opinion in Environmental Sustainability, 2011, 3(5): 281–290

[9]

Intergovernmental Panel on Climate Change (IPCC). Climate Change 2013—The Physical Science Basis. Cambridge University Press, 2014

[10]

Davidson E A. The contribution of manure and fertilizer nitrogen to atmospheric nitrous oxide since 1860. Nature Geoscience, 2009, 2(9): 659–662

[11]

Firestone M K, Davidson E A. Microbiologial Basis of NO and N2O production and consumption in soil. John Wiley and Sons, 1989, 7–21

[12]

Butterbach-Bahl K, Baggs E M, Dannenmann M, Kiese R, Zechmeister-Boltenstern S. Nitrous oxide emissions from soils: how well do we understand the processes and their controls. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 2013, 368(1621): 20130122

[13]

Tian H, Xu R, Canadell J G, Thompson R L, Winiwarter W, Suntharalingam P, Davidson E A, Ciais P, Jackson R B, Janssens-Maenhout G, Prather M J, Regnier P, Pan N, Pan S, Peters G P, Shi H, Tubiello F N, Zaehle S, Zhou F, Arneth A, Battaglia G, Berthet S, Bopp L, Bouwman A F, Buitenhuis E T, Chang J, Chipperfield M P, Dangal S R S, Dlugokencky E, Elkins J W, Eyre B D, Fu B, Hall B, Ito A, Joos F, Krummel P B, Landolfi A, Laruelle G G, Lauerwald R, Li W, Lienert S, Maavara T, MacLeod M, Millet D B, Olin S, Patra P K, Prinn R G, Raymond P A, Ruiz D J, van der Werf G R, Vuichard N, Wang J, Weiss R F, Wells K C, Wilson C, Yang J, Yao Y. A comprehensive quantification of global nitrous oxide sources and sinks. Nature, 2020, 586(7828): 248–256

[14]

Ni K, Liao W, Yi X, Niu S, Ma L, Shi Y, Zhang Q, Liu M, Ma J, Ruan J. Fertilization status and reduction potential in tea gardens of China. Journal of Plant Nutrition and Fertilizers, 2019, 25(3): 421−432 (in Chinese)

[15]

Zhang W F, Dou Z X, He P, Ju X T, Powlson D, Chadwick D, Norse D, Lu Y L, Zhang Y, Wu L, Chen X P, Cassman K G, Zhang F S. New technologies reduce greenhouse gas emissions from nitrogenous fertilizer in China. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110(21): 8375–8380

[16]

Chen X, Cui Z, Fan M, Vitousek P, Zhao M, Ma W, Wang Z, Zhang W, Yan X, Yang J, Deng X, Gao Q, Zhang Q, Guo S, Ren J, Li S, Ye Y, Wang Z, Huang J, Tang Q, Sun Y, Peng X, Zhang J, He M, Zhu Y, Xue J, Wang G, Wu L, An N, Wu L, Ma L, Zhang W, Zhang F. Producing more grain with lower environmental costs. Nature, 2014, 514(7523): 486–489

[17]

Liu S, Lin F, Wu S, Ji C, Sun Y, Jin Y, Li S, Li Z, Zou J. A meta-analysis of fertilizer-induced soil NO and combined NO+N2O emissions. Global Change Biology, 2017, 23(6): 2520–2532

[18]

Wang Y, Yao Z, Zheng X, Subramaniam L, Butterbach-Bahl K. A synthesis of nitric oxide emissions across global fertilized croplands from crop-specific emission factors. Global Change Biology, 2022, 28(14): 4395–4408

[19]

Geng Y, Wang J, Sun Z, Ji C, Huang M, Zhang Y, Xu P, Li S, Pawlett M, Zou J. Soil N-oxide emissions decrease from intensive greenhouse vegetable fields by substituting synthetic N fertilizer with organic and bio-organic fertilizers. Geoderma, 2021, 383: 114730

[20]

Xu P, Li Z, Wang J, Zou J. Fertilizer-induced nitrous oxide emissions from global orchards and its estimate of China. Agriculture, Ecosystems & Environment, 2022, 328: 107854

[21]

Han Z, Wang J, Xu P, Sun Z, Ji C, Li S, Wu S, Liu S, Zou J. Greater nitrous and nitric oxide emissions from the soil between rows than under the canopy in subtropical tea plantations. Geoderma, 2021, 398: 115105

[22]

Fan C, Chen H, Li B, Xiong Z. Biochar reduces yield-scaled emissions of reactive nitrogen gases from vegetable soils across China. Biogeosciences, 2017, 14(11): 2851–2863

[23]

Fan C, Li B, Xiong Z. Nitrification inhibitors mitigated reactive gaseous nitrogen intensity in intensive vegetable soils from China. Science of the Total Environment, 2018, 612: 480–489

[24]

Han Z, Wang J, Xu P, Li Z, Liu S, Zou J. Differential responses of soil nitrogen-oxide emissions to organic substitution for synthetic fertilizer and biochar amendment in a subtropical tea plantation. Global Change Biology. Bioenergy, 2021, 13(8): 1260–1274

[25]

Zhao C, Gao B, Wang L, Huang W, Xu S, Cui S. Spatial patterns of net greenhouse gas balance and intensity in Chinese orchard system. Science of the Total Environment, 2021, 779: 146250

[26]

Wang C, Cheng K, Ren C, Liu H, Sun J, Reis S, Yin S, Xu J, Gu B. An empirical model to estimate ammonia emission from cropland fertilization in China. Environmental Pollution, 2021, 288: 117982

[27]

Wang J, Smith P, Hergoualc’h K, Zou J. Direct N2O emissions from global tea plantations and mitigation potential by climate-smart practices. Resources, Conservation and Recycling, 2022, 185: 106501

[28]

National Bureau of Statistics of China (NBSC). China Statistical Yearbook 1981–2021. Beijing, China: China Statistics Press, 2021 (in Chinese)

[29]

R Core Team. R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, 2018

[30]

Ma R, Zou J, Han Z, Yu K, Wu S, Li Z, Liu S, Niu S, Horwath W R, Zhu-Barker X. Global soil-derived ammonia emissions from agricultural nitrogen fertilizer application: a refinement based on regional and crop-specific emission factors. Global Change Biology, 2021, 27(4): 855–867

[31]

Kuang W, Gao X, Tenuta M, Zeng F. A global meta-analysis of nitrous oxide emission from drip-irrigated cropping system. Global Change Biology, 2021, 27(14): 3244–3256

[32]

Yan P, Wu L, Wang D, Fu J, Shen C, Li X, Zhang L, Zhang L, Fan L, Wenyan H. Soil acidification in Chinese tea plantations. Science of the Total Environment, 2020, 715: 136963

[33]

Akiyama H, Yan X, Yagi K. Estimations of emission factors for fertilizer-induced direct N2O emissions from agricultural soils in Japan: summary of available data. Soil Science and Plant Nutrition, 2006, 52(6): 774–787

[34]

Medinets S, Skiba U, Rennenberg H, Butterbach-Bahl K. A review of soil NO transformation: associated processes and possible physiological significance on organisms. Soil Biology & Biochemistry, 2015, 80: 92–117

[35]

Ma R, Yu K, Xiao S, Liu S, Ciais P, Zou J. Data-driven estimates of fertilizer-induced soil NH3, NO and N2 O emissions from croplands in China and their climate change impacts. Global Change Biology, 2022, 28(3): 1008–1022

[36]

Zhao H, Lakshmanan P, Wang X, Xiong H, Yang L, Liu B, Shi X, Chen X, Wang J, Zhang Y, Zhang F. Global reactive nitrogen loss in orchard systems: a review. Science of the Total Environment, 2022, 821: 153462

[37]

Gu J, Nie H, Guo H, Xu H, Gunnathorn T. Nitrous oxide emissions from fruit orchards: a review. Atmospheric Environment, 2019, 201: 166–172

[38]

Wang J, Xiong Z, Yan X. Fertilizer-induced emission factors and background emissions of N2O from vegetable fields in China. Atmospheric Environment, 2011, 45(38): 6923–6929

[39]

Liu Q, Qin Y, Zou J, Guo Y, Gao Z. Annual nitrous oxide emissions from open-air and greenhouse vegetable cropping systems in China. Plant and Soil, 2013, 370(1–2): 223–233

[40]

Aliyu G, Luo J, Di H J, Lindsey S, Liu D, Yuan J, Chen Z, Lin Y, He T, Zaman M, Ding W. Nitrous oxide emissions from China’s croplands based on regional and crop-specific emission factors deviate from IPCC 2006 estimates. Science of the Total Environment, 2019, 669: 547–558

[41]

Wang X, Zou C, Gao X, Guan X, Zhang W, Zhang Y, Shi X, Chen X. Nitrous oxide emissions in Chinese vegetable systems: A meta-analysis. Environmental Pollution, 2018, 239: 375–383

[42]

Gu J, Wu Y, Tian Z, Xu H. Nitrogen use efficiency, crop water productivity and nitrous oxide emissions from Chinese greenhouse vegetables: a meta-analysis. Science of the Total Environment, 2020, 743: 140696

[43]

Gerber J S, Carlson K M, Makowski D, Mueller N D, Garcia de Cortazar-Atauri I, Havlík P, Herrero M, Launay M, O’Connell C S, Smith P, West P C. Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management. Global Change Biology, 2016, 22(10): 3383–3394

[44]

Rezaei Rashti M, Wang W, Moody P, Chen C, Ghadiri H. Fertiliser-induced nitrous oxide emissions from vegetable production in the world and the regulating factors: a review. Atmospheric Environment, 2015, 112: 225–233

[45]

Yang T, Li F, Zhou X, Xu C C, Feng J, Fang F. Impact of nitrogen fertilizer, greenhouse, and crop species on yield-scaled nitrous oxide emission from vegetable crops: a meta-analysis. Ecological Indicators, 2019, 105: 717–726

[46]

Li Y, Zheng X, Fu X, Wu Y. Is green tea still ‘green’. Geo: Geography and Environment, 2016, 3(2): e00021

[47]

Wang Y, Yao Z, Pan Z, Wang R, Yan G, Liu C, Su Y, Zheng X, Butterbach-Bahl K. Tea-planted soils as global hotspots for N2O emissions from croplands. Environmental Research Letters, 2020, 15(10): 104018

[48]

Hergoualc’hK, AkiyamaH, Bernoux M, ChirindaN, del PradoA, Kasimir Å, MacDonaldJ D, OgleS M, ReginaK, van der WeerdenT J N. . O2 Emissions from managed soils, and CO2 emissions from lime and urea application. In: Calvo Buendia E, Tanabe K, Kranjc A, Baasansuren J, Fukuda M, Ngarize S, Osako A, Pyrozhenko Y, Shermanau P, Federici S, eds. 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. IPCC, 2019, 1–48

[49]

Hergoualc’h K, Mueller N, Bernoux M, Kasimir Ä van der Weerden T J, Ogle S M. Improved accuracy and reduced uncertainty in greenhouse gas inventories by refining the IPCC emission factor for direct N2O emissions from nitrogen inputs to managed soils. Global Change Biology, 2021, 27(24): 6536–6550

[50]

Yue Q, Wu H, Sun J, Cheng K, Smith P, Hillier J, Xu X, Pan G. Deriving emission factors and estimating direct nitrous oxide emissions for crop cultivation in China. Environmental Science & Technology, 2019, 53(17): 10246–10257

[51]

Zheng X, Han S, Huang Y, Wang Y, Wang M. Re-quantifying the emission factors based on field measurements and estimating the direct N2O emission from Chinese croplands. Global Biogeochemical Cycles, 2004, 18(2): GB2018

RIGHTS & PERMISSIONS

The Author(s) 2022. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)

AI Summary AI Mindmap
PDF (2952KB)

10636

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/