Greenhouse Gas Emission, Rainfall and Crop Production Over North-Western India

In South Asian countries, India has a big contribution with agricultural grain and food productions especially rice import (Gaiha and Kulkarni, 2007) followed by other Asian countries. A good portion of the Indian landmass is surrounded by oceans, one of the main sources of CO₂ and moisture during summer monsoon (Gurber et al. 2009). From the time of industrial revolution, the concentration of the tropospheric CO₂ rose from 290 to 403.64 ppm, NO₂ rose from 270 to 326 and CH₄ rose from 722 to 1893 ppm (CDIAC 2015). Water vapor, CO₂ and CH₄ are the three top most greenhouse gases for global warming potential (Daniel 1999). These greenhouse gases keep on increasing in the atmosphere and have an adverse impact on human health and grain production (Horowitz 2006; Avnery et al. 2011). The sources of these greenhouse gases (e.g. CO₂, NO₂, CH₄) are transportation, combustion, fossil-fuel burning, ocean and wetlands. In India, during monsoon season, the possibilities of the production of the greenhouse gases increase, because of the monsoonal winds passing over the ocean surface, and the land becomes wet and soggy and live stocks also get wet. NO_x gases emit due to fertilization scattering in farm lands, wetland and the augmentation of the first rainfall over dry land (Mosier et al. 2003). India is one of the countries known for agriculture and farming tied with monsoonal rainfall (Gadgil and Gadgil 2006). Methane is formed due to microscopic organisms living in falling leaves from the tree and in rice plant’s roots (Groenigen et al. 2011). Ocean stores CO₂ in the form of HCO₃^- (carbonate ion) in the mixed layer and deep water which comes upward on the surface from equatorial and subtropical ocean upwelling where temperature is around 29^oC (Somero et al. 2016).

During summer, farming in India depends on the monsoonal rainfall (Krishna Kumar et al. 2004). Natural rivers, canals, lakes and ponds are not sufficient to fulfill the need of water for farming and bio diversity. Every year, Indian summer monsoon pours copious rainfall over Indian landmass from June to September (Parthasarathy and Mooley 1978). India has 70% (86cm) of its annual rainfall within 4 months of summer. Indian summer monsoon rainfall initiates around June 1, over the coast of Kerala state (Fig. 1) and gradually progresses northward, finally covering all Indian landmass by July 15. In Fig. (1), smooth and curved lines of blue-red are oriented from west to North-East and North, demonstrating five days’ northern limit of accumulated rainfall. These are the climatological dates of the very first summer rainfall across every state over the Indian subcontinent.

Fig. (1). Climatological dates of northern limit of Indian summer monsoon (isochrones) over Indian region (http://www.imd.gov.in).

The isochrones of the onset of monsoon and northern limit of monsoon keep on varying each year (Kumar and Krishnamurti 2013). At the first arrival of monsoonal rain over a region, farmers of that region start to germinate the seeds for the new crop of rice. India is the second leading country after China, which produces the maximum load of rice annually. From south to north, Indian farmers are actively engaged in sowing rice, coffee, tea, rubber, maize, various kind of millets and cotton crops (Prasanna 2014). He further added if the monsoon rainfall is delayed, the growth of the crop cultivation is also halted and affects the production of those crops for the year. It was experienced that the production of crop declined during recent major drought years like 2002, 2004, 2009 and 2014. Next, South Asian countries are known for the polluted air due to aerosol, burning of the crops and dust (Ramanathan et al. 2005). Polluted environment, due to greenhouse gas emission, droughts, food production and societal degradation, directly influences the Gross Domestic Product (GDP) and Food Grain Production (FGP) of India (Kumar et al. 2013). Obviously, FGP shows a decreased trend during drought years (Gadgil and Gadgil 2006; Sinha 2009).

Fig. (2). Optimized air-sea CO2 flux (mole/m2/sec) for the global ocean from APDRC. It is model output. Positive values of CO2 show downward flux while negative values upwards. (a to l) Spatial pattern of CO2 flux (*10-7 mole/m2/sec) for each year (m) CO2 flux (*10-7 mole/m2/sec), area averaged over the small box (shown in a) over Bay of Bengal.

Many studies revealed that extreme rainfall events are increasing over Indian region (Goswami et al. 2005; Rajeevan et al. 2008). During 1980-1990, the monsoonal rainfall used to be very continuous, light to moderate for 3-4 days. Such kind of rainfall can be compared with the drip irrigation for agricultural crops. Nowadays, monsoonal rainfall is very heavy or very light and lasts for a smaller duration and quickly, water makes the way into rivers and ponds. Porous of the soil get clogged due to the bombardment of heavy rainfall thus soil could not absorb water to the deeper layer. There is a mix response from many recent studies on both the increasing and decreasing trends of Indian summer monsoonal rainfall (Goswami et al. 2006; Bollasina et al. 2011).

Fig. (3). (a to q) Wind anomalies from NCEP reanalysis at 850mb (m/sec) for all 17 years (r) Mean wind filed.

The production of rice and maize is being affected by climate variability (Ray et al. 2015). Rice produces a significant amount of methane due to stagnant water and rotten substances in the paddy field. Basically, these are microscopic organisms that respire CO₂ and produce methane (CH₄). No doubt, the emission of methane will become all most double fold for per kg of rice production against the projected estimates of CO₂ and atmospheric temperature by the end of this century (Groenigen et al. 2012; Lobell et al. 2013). The model projections seem lower than that expected in the higher CO₂ environment (Long et al. 2006). The land of the northern India is generally very dry before the arrival of monsoon. Jaegle et al. (2004) found the emission of NO_x from dry soil, when it gets wet for the first time. Other sources of the NO_x are nitrogen laced fertilizer for soil, dry forest and grassland-savannas (Ghude et al. 2014). Other main sources of gas emissions (CH₄ and NO_x) are the industrial developments for the economic growth of a country. All around the metro cities, a lot of industrial development has been made for the convenience of transport and utilities, contribute to greenhouse gases (Sahu et al. 2014). Obviously the sink and sources of these gases are located over ocean and land, both (Watson et al. 1992).

Individually, there are plenty of research works explaining the role of various greenhouse gases and their influence on crop production and the impact of rainfall on food production. However, there are not much progress on the research which explains the role of greenhouses gases and summer rainfall on crops production. Understanding the role of greenhouse gases and rainfall on grain production over the northern region is the main objective of this research work. Here, we tried to relate rainfall and greenhouse gases variability against the production of grains over northern Indian region. Average summer rainfall does not seem to show any trend over India but showing an increasing trend over few pockets/cities. From the literature survey, we realized that greenhouse gases have great bearings on the crop yields, like rice and maize. Due to such intriguing facts for rainfall, greenhouse gases and grain production drew our attention for investigation. Are rainfall and greenhouse gases considered the main reasons behind the reduction of rice production? The present manuscript is dealing with the main sources and potential impact of three greenhouse gases (CO₂, CH₄ and NO_x) on the crops of rice and maize over north India. Based on the literature survey and objective of this research work, we do hypothesize that increasing the greenhouse has a more impact on the crop’s production despite increasing trend of rainfall.

We used the trend analysis on rainfall, crop production and greenhouse gases, which facilitates about their increasing and decreasing tendency with time. Another skill matrix was used in this study known as the Pearson correlation among rainfall, crop production and greenhouse gases.

One perspective of this finding may be due to change of farmer’s farming style because these crops require more care such as, protection against insects, heat waves, surface ozone and extreme rainfall events. No doubt, the major impact of the heat waves and the warmer temperature is during the reproductive stage of the crop, consequently, maize production reduces significantly (Hatfield and Prueger 2015). It may be suggested that modified/hybrid breed of rice, maize may tolerate the enhanced greenhouse gases and atmospheric warming which can produce more crop yield and have tolerance against greenhouse gases and rainfall deficiency. Further, the advancement than the regular practice, in the rice crop may reduce methane emission and hence crop yield for the larger population. The decrease in farming production may not be merely due to greenhouse gases emission and surface ozone, but, there may be some other reasons. No doubt the agriculture production may be affected by local factors e.g. extremely high temperature, droughts and prevalence of insects as well. The crop yield may increase through the genetically modified crop, which can sustain with changing climate and global warming in monsoonal Asia’s crop specific modeling or WRF-CHEM may provide a better understanding of how do emission of greenhouse gases, rainfall and crop production influence each other. In future research work, an attempt will be made to work with the inventories of CO₂, NO₂, CH₄ and O₃ on the Indian subcontinent and their impact on crop production.

Fig. (11). Rainfall anomalies from historical data of HadGEM2-ES coupled atmospheric and ocean climate model. For all the selected regions rainfall is showing increasing trend.

Datasets acquired from the model pose the following caveats: coarser resolution, parameterization, resolution of gases in vertical column/layer of the atmosphere etc. After day-1, the model’s results started to deviate from reality. Satellite datasets are based on brightness, temperature or infrared sounders and are finally retrieved by an algorithm. In the presence of dense and towering clouds, satellite datasets experienced error in the measurement of various gases. All the datasets presented in this research work are global, so the general circulation in the chemistry model takes care of the transportation of the pollution and aerosols. Crop production datasets represent a point location in the northern Indian. Thus, the results may not represent and apply to the total region of northern India. Inherently, the results in the manuscript carry the limitation, uncertainties, and caveats of the datasets. The factor of the crop disease is not considered in this research while stating reduction in crop’s yields. To access such, factors, a crop model may provide better results.

The link between three entities rainfall, gas emission and crop yield is being established over selected sites of northwestern India. Over Indian region, the presence of CO₂ seemed to be increased due to natural (ocean surface warming in Bay of Bengal, Arabian sea and Indian ocean; decomposition...etc.) and human sources (deforestation, emission from loads of traffics…etc.). In a separate analysis, it was found that the rainfall and greenhouse gases (e.g. NO₂, CO₂ and CH₄) showed an increasing trend over the selected sites. Furthermore, with the increase of gas emissions (e.g. NO₂, CO₂ and CH₄), there was a decrease in crop yield (production of rice and maize showed decreasing trends). This relationship has been established based on the correlation metric over the site-specific datasets of rainfall, greenhouse gases and crop production. In recent years, it has been found that the northern Indian region witnessed an increase in rainfall, whereas the production of rice and maize has reduced. Eight sites over north-western India showed reduction in the production of rice and maize by 40% together with an increase of CO₂, NO₂ and CH₄ gas emission by 5% from 1998 to 2011.