<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2022.132020</article-id><article-id pub-id-type="publisher-id">AS-115536</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Greenhouse Gas Emission from Inland Open Water Bodies and Their Estimation Process—An Emerging Issue in the Era of Climate Change
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thangjam</surname><given-names>Nirupada Chanu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Subir</surname><given-names>Kumar Nag</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Satish</surname><given-names>Kumar Koushlesh</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Manoharmayum</surname><given-names>Shaya Devi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Basanta</surname><given-names>Kumar Das</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>ICAR-Central Inland Fisheries Research Institute (CIFRI), Barrackpore, India</addr-line></aff><pub-date pub-type="epub"><day>30</day><month>01</month><year>2022</year></pub-date><volume>13</volume><issue>02</issue><fpage>290</fpage><lpage>306</lpage><history><date date-type="received"><day>8,</day>	<month>December</month>	<year>2021</year></date><date date-type="rev-recd"><day>25,</day>	<month>February</month>	<year>2022</year>	</date><date date-type="accepted"><day>28,</day>	<month>February</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The persistent rise in concentrations of greenhouse gases (GHGs) in the earth’s atmosphere is responsible for global warming and climate change. Besides the known source of GHGs emissions like energy, industry, and agriculture, intrinsic emissions from natural inland water bodies like wetland, rivers, reservoirs, estuaries, etc. have also been identified as other hotspots of GHGs emission and gaining the attention of the scientific communities in recent times. Inland fisheries in India are threatened by climate changes such as a change in temperature, precipitation, droughts, storm, sea-level rise, saltwater intrusion, floods that affect mostly the production, productivity and ultimately affect the fishers’ livelihood. There are, however, different mitigation and adaptation strategies to cope with the effects of climate change. Carbon sequestration and other related management interventions are one of the options available minimizing GHGs emissions from inland open waters, particularly the wetlands and coastal mangroves which are well known worldwide for their significant role in the storage of carbon. Assessment of C efflux from exposed sediments in dry streams, reservoirs, lakes, rivers, and ponds into the atmosphere can be considered imperative for a better understanding of their role as a C-sink or as a C-source to the atmosphere.
 
</p></abstract><kwd-group><kwd>Greenhouse Gas</kwd><kwd> Inland Open Water</kwd><kwd> Global Warming Potential</kwd><kwd> Carbon-Dioxide</kwd><kwd> Methane</kwd><kwd> Nitrous Oxide</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Unfavorable and irreversible climatic aberration known to us as climate change is an issue that has marred the possibility of sustainable existence of life forms and healthy biological processes that governs the well-being of the present and the future generations of human being on earth. The effects of climate change are manifested as a steady rise in average sea surface temperature, relatively more frequent extreme weather events, rising sea level, and a range of other impacts. Increasingly convincing scientific evidence is being put forth and validated by various researchers across the world which depicts the existing warming trend on our earth climatic systems and more obviously from record rise in global mean annual sea surface and air temperature driving rapid melting of icy glaciers thus rising mean sea level [<xref ref-type="bibr" rid="scirp.115536-ref1">1</xref>]. The global mean annual sea level rose during the year 2005 to 2015 at the rate of 3.58 &#177; 0.25 mmyr<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.115536-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref3">3</xref>]. Further, most of the simulation studies also suggested that the change in the mean global annual surface temperature between the period 1850 and the end of the 21<sup>st</sup> century is likely to exceed 1.5˚C, and temperature rise of 2˚C is anticipated to be dangerous for sustainability of life forms. It is still uncertain how great climate change would impact the earth. Some major impacts could be shortages of freshwater, alteration in food production ability, loss of habitats for various plants/animals, driving unusual distributional trends in wildlife populations into newer habitats, loss of biodiversity, extinction of species, etc.</p><p>It is suggested that the persistent rise in concentrations of greenhouse gases (GHGs) in the earth’s atmosphere is responsible for global warming and the climate change crisis. The intensification of non-climate friendly activities in the past century aided by fossil fuel burning and emission from industries, urban and vehicular traffic globally has been identified as one of the most significant drivers to the problem of rising GHGs emissions. In addition, intrinsic emissions from natural habitats like wetlands, rivers, and reservoirs have also been identified and gaining the attention of the scientific communities in recent times. There are several scientific studies [<xref ref-type="bibr" rid="scirp.115536-ref4">4</xref>] - [<xref ref-type="bibr" rid="scirp.115536-ref9">9</xref>] on the role of reservoirs in global GHGs emissions particularly more so in the tropical and sub-tropical region.</p><sec id="s1_1"><title>1.1. Greenhouse Gases</title><p>The gaseous constituents of the atmosphere owing to contributions from both natural and anthropogenic sources, absorbing and emitting radiation at certain wavelengths within the infrared spectrum via Earth’s surface, atmosphere, and clouds are called greenhouse gases (GHGs). Primarily these GHGs in the atmosphere consist of water vapor (H<sub>2</sub>O), carbon dioxide (CO<sub>2</sub>), nitrous oxide (N<sub>2</sub>O), methane (CH<sub>4</sub>), and ozone (O<sub>3</sub>). GHGs possessed the property to absorb and release infrared radiation, which facilitates the trapping of the sun’s warmth leading to the “greenhouse effect” [<xref ref-type="bibr" rid="scirp.115536-ref10">10</xref>]. Apart from these, there are several man-made GHGs like, halocarbons, and chlorine or bromine-containing substances which are dealt under the Montreal Protocol. The Kyoto Protocol deals with the greenhouse gases like CO<sub>2</sub>, N<sub>2</sub>O, CH<sub>4</sub>, sulfur hexafluoride (SF<sub>6</sub>), hydrofluorocarbons (HFCs), and perfluorocarbons (PFCs) (As per the definition of WG III, IPCC).</p><p>According to global warming potentials (GWP), the most dangerous GHGs present in the atmosphere consisted of CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O, water vapor, and anthropogenically produced gases like hydrofluorocarbons and perfluorocarbons. The concentrations of primary GHGs, their lifetime, sources, and GWP are presented in <xref ref-type="table" rid="table1">Table 1</xref>. Among other GHGs, CO<sub>2</sub> gained the most attention in popular media due to the contribution from anthropogenic activities. But, according to GWP, CH<sub>4</sub> has 25 times more GWP per molecule and N<sub>2</sub>O is about 300 more potent in GWP per molecule than CO<sub>2</sub> [<xref ref-type="bibr" rid="scirp.115536-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref11">11</xref>]. In 2017, the global concentrations in earth’s atmosphere of these GHGs i.e., CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O were approximately recorded to be 408.0 &#177; 0.1 ppm, 1869 &#177; 2 ppb, and 331.0 &#177; 0.1 ppb respectively, which show an increase of approximately 45% for CO<sub>2</sub>, 160% for CH<sub>4</sub> and 22.63% for N<sub>2</sub>O since 1750 [<xref ref-type="bibr" rid="scirp.115536-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref12">12</xref>].</p></sec><sec id="s1_2"><title>1.2. Need for Assessment of the Emission of GHGs in Inland Open Waters</title><p>Human activity modifies the dynamics of CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O in the aquatic environment. Inland freshwater systems are sources of greenhouse gases (GHGs) to the atmosphere and as such, their importance in global GHG budgets is increasingly recognized. Outgassing of CO<sub>2</sub> and CH<sub>4</sub> from these systems account for an estimated 3.9 PgCyr <sup>−1</sup> of the 5.1 PgCyr<sup>−1</sup> exported globally from the terrestrial environment to freshwaters [<xref ref-type="bibr" rid="scirp.115536-ref14">14</xref>], although considerable uncertainty about the accuracy of these estimated fluxes remains.</p><p>Inputs from agriculture, wastewater discharge from various industries into inland water, amongst other sources may amplify GHG emissions. However, we still lack a crucial “bottom up” understanding developed from field measurements of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Primary GHGs concentrations, its lifetime, sources, and its global warming potential [<xref ref-type="bibr" rid="scirp.115536-ref13">13</xref>].<sub> </sub></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >GHGs</th><th align="center" valign="middle" >Pre-industrial concentrations (ppmv*)</th><th align="center" valign="middle" >Recent concentrations in 2018 (ppmv*)</th><th align="center" valign="middle" >Atmospheric lifetime (years)</th><th align="center" valign="middle" >Main human activity sources</th><th align="center" valign="middle" >GWP**</th></tr></thead><tr><td align="center" valign="middle" >Carbon dioxide (CO<sub>2</sub>)</td><td align="center" valign="middle" >280</td><td align="center" valign="middle" >407.8</td><td align="center" valign="middle" >Variable</td><td align="center" valign="middle" >Fossil fuels, cement production, land-use change</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Methane (CH<sub>4</sub>)</td><td align="center" valign="middle" >0.715</td><td align="center" valign="middle" >1.86</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >Fossil fuels, rice field, waste disposal, livestock</td><td align="center" valign="middle" >21</td></tr><tr><td align="center" valign="middle" >Nitrous (N<sub>2</sub>O)</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >0.3311</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >Fertilizers, combustion, industrial processes</td><td align="center" valign="middle" >310</td></tr><tr><td align="center" valign="middle" >Hydrofluorocarbons (CHF<sub>3</sub>)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >Electronic refrigerants</td><td align="center" valign="middle" >11,700</td></tr><tr><td align="center" valign="middle" >Perfluoromethane (CF<sub>4</sub>)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >50,000</td><td align="center" valign="middle" >Aluminum production</td><td align="center" valign="middle" >6500</td></tr><tr><td align="center" valign="middle" >Perfluoroethane (C<sub>2</sub>F<sub>6</sub>)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >10,000</td><td align="center" valign="middle" >Aluminum production</td><td align="center" valign="middle" >9200</td></tr><tr><td align="center" valign="middle" >Sulfur-hexafluoride (SF<sub>6</sub>)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >3200</td><td align="center" valign="middle" >Dielectric fluid</td><td align="center" valign="middle" >23,900</td></tr></tbody></table></table-wrap><p>ppmv* = parts per million by volume, GWP = 100-year global warming potential.</p><p>the magnitude of these emissions, and how they compare on a catchment scale to emissions from non-anthropogenic GHG sources.</p><p>Due to anthropogenic activities and global warming, the health of wetlands is degrading resulting in the release of more GHGs than the amount absorbed. Many studies have proven that lakes and other inland waters are significant global emitters of CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O [<xref ref-type="bibr" rid="scirp.115536-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref17">17</xref>]. Dams are recognized as the single largest anthropogenic source of methane emission (National Institute of Space Research, Brazil). Methane released from dams contributed 23% of cumulative methane emissions owing to anthropogenic activities. Thus, reservoirs are considered to be a significant source of greenhouse gases emission (GHGs) into the atmosphere [<xref ref-type="bibr" rid="scirp.115536-ref5">5</xref>]. Reservoirs are formed by the construction of dams across the river converting flowing water into a stagnant one submerging terrestrial plants and organic matters. The CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O released are attributable to the microbial decomposition of terrestrial organic matter. Most of the world’s river becomes supersaturated with greenhouse gases (GHGs, i.e., CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O) due to the input of carbon (C) and nitrogen (N) from land to water and thus served as significant sources of GHGs to the atmosphere [<xref ref-type="bibr" rid="scirp.115536-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref20">20</xref>].</p><p>It is, therefore, necessary to accurately estimate the atmospheric dynamics of greenhouse gas (GHG) ﬂuxes to gain an insight into the global carbon (C) budget. Thus, projections on the course of climate change can be prepared.</p></sec></sec><sec id="s2"><title>2. Inland Water Bodies as Sources of Greenhouse Gases Emission</title><p>Inland water bodies such as rivers, estuaries, reservoirs, lakes, wetlands, etc. act as a sink for large quantities of carbon in their sediments and also release CH<sub>4</sub> and CO<sub>2</sub> into the surrounding atmosphere [<xref ref-type="bibr" rid="scirp.115536-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref21">21</xref>]. DelSontro et al. [<xref ref-type="bibr" rid="scirp.115536-ref22">22</xref>] estimated that GHG emissions from lakes and impoundments are equivalent to ~20% of global fossil-fuel CO<sub>2</sub> emission (i.e., 9.3 PgC-CO<sub>2</sub>yr<sup>−1</sup>) and projected that emission will intensify even further with the continued eutrophication of Earth’s lentic ecosystems. The sewage discharge into the aquatic ecosystems like rivers, lakes, oceans, estuary, etc. leads to an increase in carbon and nitrogen. This results in an increase in GHGs emissions from these aquatic ecosystems due to nitrification, denitrification, microorganism respiration, and methanogenesis of the dissolved carbon and nitrogen nutrients. Thus, aquatic ecosystems play a crucial role in global carbon and nitrogen biogeochemical cycles and are considered as concerning sources of GHGs emissions [<xref ref-type="bibr" rid="scirp.115536-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref24">24</xref>]. Hence, studies on GHGs emissions from aquatic ecosystems had drawn significant attention in recent years.</p><p>Emission from dry and dysfunctional inland waters are the blind spots in the global carbon cycle and the addition of emission from these water to CO<sub>2</sub> emissions from inland waters at the global level could result in the rise of 0.22 PgCyear<sup>−1</sup> or ~10% of total fluxes [<xref ref-type="bibr" rid="scirp.115536-ref25">25</xref>].</p><p>India has a diverse range of aquatic resources that comprise an extensive network of 29,000 km rivers; 128,000 km man-made canals, 3.15 million ha of reservoirs; 0.3 million ha of estuaries; 2.36 million ha of pond and tanks; 0.19 million ha backwater, and lagoons; 1.2 million ha of floodplain wetlands and lakes [<xref ref-type="bibr" rid="scirp.115536-ref26">26</xref>]. The role of different types of inland water ecosystems towards GHGs emissions is discussed below.</p><sec id="s2_1"><title>2.1. Reservoirs</title><p>Reservoirs are man-made impoundments created by obstructing surface flow, by erecting a dam of any description across a river, stream, or any course of water with the main objective of irrigation, hydro-electric generation, water supply, and flow balancing. India is blessed with 3.15 million ha of reservoirs having tremendous potential for inland fisheries development in India. Dams are constructed across rivers for many purposes and act as the single largest anthropogenic source of CH<sub>4</sub> which is around 23% (according to the National Institute of Space Research (INPE), Brazil) of the methane emissions due to human activities. According to INPE, maximum gas emission (around 95% of CH<sub>4</sub>) in the reservoir’s surface occurs at turbines and spillways which are several kilometers downstream. It was also reported that hydro-power plants in the tropics with large reservoirs can be more impactful on global warming than power plants run by fossil fuel which generates equivalent amounts of electricity [<xref ref-type="bibr" rid="scirp.115536-ref6">6</xref>]. The GHG emission from reservoirs is highest in tropical and sub-tropical climates. India being a sub-tropical country, the emission of GHG in Indian reservoirs may be high but it is still unknown as hardly any such study has been conducted in the country so far.</p><p>The dam construction and formation of reservoirs lead to rotting of submerged vegetation and increase of organic matter which act as a source of CH<sub>4</sub> and CO<sub>2</sub> emission. Some other related activities which contributed to GHGs emissions are the fossil fuels and construction materials used during the erection of dam, clearing of land for establishing resettlement sites, essential lines of transmission and roads, and the expansion in irrigated farming (a significant reason for methane emissions).</p></sec><sec id="s2_2"><title>2.2. Wetlands and Lakes</title><p>Wetlands are ecotone between terrestrial and aquatic conditions and the waterlogged soil is the main characteristic of wetlands. Wetlands, as defined by Ramsar convention, include areas of marsh, fen, peatland or water, whether natural or artificial, permanent or temporary, with water that is static or flowing, fresh, brackish or salt, including areas of marine water, the depth of which at low tide does not exceed six meters. India has 1.2 million hectares of floodplain lakes and wetlands where the rural population depends for their livelihood as the activity of traditional fisheries [<xref ref-type="bibr" rid="scirp.115536-ref27">27</xref>]. Wetlands are generally considered as a sink for large amounts of carbon, containing about one-third of the global soil carbon stock [<xref ref-type="bibr" rid="scirp.115536-ref28">28</xref>]. The flooded soils in wetlands retain soil carbon as they have low oxygen levels leading to decrease rates of decomposition [<xref ref-type="bibr" rid="scirp.115536-ref29">29</xref>]. Greenhouse gas emission differs according to the types of wetlands and soil conditions. Wetlands are usually known for mass carbon storage and sequestration in form of biomass [<xref ref-type="bibr" rid="scirp.115536-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref30">30</xref>]; however, they are also a prominent source of GHGs (e.g., CH<sub>4</sub>, N<sub>2</sub>O, etc.). Nutrients and lake size drive aquatic CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O emissions, and CO<sub>2</sub> emission rates declined with size across different levels of productivity [<xref ref-type="bibr" rid="scirp.115536-ref22">22</xref>]. This dual nature of wetlands is a very peculiar property and not so well understood, even though it is noticeably clear that under certain circumstances same wetlands could either be net sink or net source of GHGs [<xref ref-type="bibr" rid="scirp.115536-ref31">31</xref>]. Natural wetlands are very wet regions where the soils emit methane. Further, the soils in wetlands mostly remain in anaerobic conditions under a reduced state which favors the decomposition of organic matter into CH<sub>4</sub>. Thus, under these circumstances, wetlands are aptly considered GHG sinks. Methane emissions are controlled by many variables like water depth, climatic condition, soil biogeochemistry, vegetation, dissolved organic carbon, total phosphorus concentration, and volume of anoxic fraction in lakes [<xref ref-type="bibr" rid="scirp.115536-ref32">32</xref>]. Eutrophication in global lentic aquatic ecosystems could significantly raise CH<sub>4</sub> emissions.</p></sec><sec id="s2_3"><title>2.3. Rivers</title><p>River is any natural stream of water that flows through a channel, usually freshwater flowing towards an ocean, sea, lake, or another river.Indian River system, having a combined length of 29,000 km, which consist of 14 major rivers (catchments &gt; 20,000 km<sup>2</sup>), 44 medium rivers (catchments 2000 to 20,000 km<sup>2</sup>) and innumerable small rivers and streams (catchments area &lt; 2000 km<sup>2</sup>). These resources may act as a significant source of GHGs to the atmosphere as they get inputs of carbon (C) and nitrogen (N) via catchment areas over land resulting in greenhouse gases (GHGs, i.e., CO<sub>2</sub>, CH<sub>4,</sub> and N<sub>2</sub>O) supersaturation. This happens in most of the rivers across the world. Some parts of organic carbon undergo degradation in the aquatic system and contribute to GHGs emissions [<xref ref-type="bibr" rid="scirp.115536-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref34">34</xref>]. Rivers served as an active area for GHGs emissions to the atmosphere as it is a favorable place for aqueous C and N degradation and a higher rate of intrinsic metabolic processes. On other hand, aquatic denitrification and nitrification in rivers would potentially alter the nitrogen pools hence emitting more N<sub>2</sub>O gas in rivers [<xref ref-type="bibr" rid="scirp.115536-ref35">35</xref>].</p></sec><sec id="s2_4"><title>2.4. Estuaries</title><p>Estuaries are partially enclosed, coastal water bodies where freshwater from rivers mixes with saline water from the ocean and are places of transition from land to sea. India is blessed with 0.29 million ha of estuaries. CO<sub>2</sub> and CH<sub>4</sub> emissions in estuaries exhibit a large spatio-temporal variability. There exists an intricate interaction of river carbon inputs, in situ water and sediment induced microbial processes, sedimentation and resuspension processes, tide induced exchanges with marshes and flats, and gaseous diffusion with the atmosphere. High atmospheric CO<sub>2</sub> emissions at the rate of 10 - 1000 mmolm<sup>−2</sup>d<sup>−1</sup> i.e., 440 - 440,000 mgm<sup>−2</sup>d<sup>−1</sup> occur at inshore estuarine waters, tidal flats, and sediments from marshes attributable to the net mineralization of organic carbon derived from land and marsh. Methane emissions to the atmosphere are mostly moderate in estuaries i.e., 0.02 - 0.5 mmolm<sup>−2</sup>d<sup>−1</sup> i.e., 0.32 - 8 mgm<sup>−2</sup>d<sup>−1</sup> while it may be high in densely vegetated tidal flats and marshes, specifically at freshwater sites containing sediments having CH<sub>4</sub>-saturation [<xref ref-type="bibr" rid="scirp.115536-ref4">4</xref>]. The areas with a lack of sufficient oxygen and supersaturations of CO<sub>2</sub> are well-known features in estuaries. Due to the net sink of organic matter in the sediment, tidal marshes served as a net sink of atmospheric CO<sub>2</sub> [<xref ref-type="bibr" rid="scirp.115536-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref37">37</xref>]. High-intensity sedimentary recycling of organic matter, sediments, and deposited soils from tidal flats and marshes occur at wetlands which leads to the emission of a large amount of CO<sub>2</sub> to the atmosphere during low tide events and spread across water column of variable height during submergence. Methane production, as well as emissions from tidal flats and marshes, are particularly high as organic matter inputs are higher at oxygen deficit depths by rooted vegetation in the sediments [<xref ref-type="bibr" rid="scirp.115536-ref38">38</xref>]. As compared to freshwaters, CH<sub>4</sub> emission would be less from the estuaries as salinity in the estuarine water is reported to inhibit the methanogenesis process [<xref ref-type="bibr" rid="scirp.115536-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref40">40</xref>].</p></sec></sec><sec id="s3"><title>3. Recent Emission Rates from Different Inland Waters</title><p>Hu et al. [<xref ref-type="bibr" rid="scirp.115536-ref41">41</xref>] reported the higher rate of GHGs emission (1.20 - 2.41 times and 1.13 - 3.12 times more CO<sub>2</sub> and N<sub>2</sub>O emission fluxes at the interface and the CH<sub>4</sub> emission fluxes was around 3.09 to 10.87 times more) in sewage draining rivers than that of the natural unpolluted river in Tianjin, China. Further, environmental features like the speed of the wind, temperature of water and air were found to influence GHGs concentrations [<xref ref-type="bibr" rid="scirp.115536-ref42">42</xref>].</p><p>It was estimated that inland waters induced CO<sub>2</sub> emission is over 2 PgCyear<sup>−1</sup>, of which 1.8 PgCyear<sup>−1</sup> were emitted from rivers and streams; and 0.32 to 0.50 PgCyear<sup>−1</sup> were emitted from reservoirs and lakes [<xref ref-type="bibr" rid="scirp.115536-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref22">22</xref>].</p><p>Globally, CH<sub>4</sub> emission was estimated to be 69 TgCH<sub>4</sub>-Cyr<sup>−1</sup> of or about 0.85 Pg of C as CO<sub>2</sub> emission equivalents (using a 34-times conversion factor for a 100-yr time scale) from lake and impoundment [<xref ref-type="bibr" rid="scirp.115536-ref43">43</xref>]. Richards and Craft [<xref ref-type="bibr" rid="scirp.115536-ref44">44</xref>] measured GHG fluxes from a natural and a restored wetland and the recorded fluxes were 10.1 kg CO<sub>2</sub>-Cha <sup>−1</sup>day<sup>−1</sup>, 0.2 g CH<sub>4</sub>-Cha<sup>−1</sup>day<sup>−1</sup>, and 0.6 g N<sub>2</sub>O-Nha<sup>−1</sup>day<sup>−1</sup> from natural wetlands and 3.8 kg CO<sub>2</sub>-Cha<sup>−1</sup>day<sup>−1</sup>, 0.1 g CH<sub>4</sub>-Cha<sup>−1</sup>day<sup>−1</sup>, and 0.4 g N<sub>2</sub>O-Nha<sup>−1</sup>day<sup>−1</sup> from restored wetlands.</p><p>Deemer et al. [<xref ref-type="bibr" rid="scirp.115536-ref5">5</xref>] estimated the global GHG flux on a CO<sub>2</sub>-equivalent basis (100-year horizon) from reservoirs using the dataset of 267 reservoirs from the six continents (North America, South America, Europe, Africa, Asia, and Australia), and the estimated flux to be 606.5 TgCH<sub>4</sub>-Cyear<sup>−1</sup>, 134.9 TgCO<sub>2</sub>-Cyear<sup>−1</sup>, and 31.7 TgN<sub>2</sub>O-Nyear<sup>−1</sup>.</p>GHG Emission from Inland Water Surface—Few Studies Conducted in India<p>Studies on the estimation of GHG emission from Indian water bodies are very few and little attention has been paid in this subject area. Thus, it is still a virgin area in the country while such studies are quite common in countries like Brazil, the USA, China, etc. since the 1990s. India being a sub-tropical country, the emission of GHG in Indian reservoirs may be high but it is still unknown as hardly any such study has been conducted in the country so far. Only a few reports are available which are summarized in <xref ref-type="table" rid="table2">Table 2</xref>.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> GHG emission from different inland water bodies—Few studies conducted in India</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Authors</th><th align="center" valign="middle" >Area of study</th><th align="center" valign="middle" >Findings</th></tr></thead><tr><td align="center" valign="middle" >Ghosh et al. [<xref ref-type="bibr" rid="scirp.115536-ref45">45</xref>]</td><td align="center" valign="middle" >Saptamukhi creek, Sundarban</td><td align="center" valign="middle" >Recorded CO<sub>2</sub> emission as 56.7 &#177; 37.4 mmolm<sup>−2</sup>day<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >Biswas et al. [<xref ref-type="bibr" rid="scirp.115536-ref46">46</xref>]</td><td align="center" valign="middle" >Estuaries (Muriganga, Saptamukhi, and Thakuran) of the Sundarban mangrove ecosystem</td><td align="center" valign="middle" >Dissolved CH<sub>4</sub> concentrations in the Sundarban estuarine systems ranged between 11.0 and 129.0 nmolL<sup>−1</sup> with emission rates between 1.97 and 134.6 μmol m<sup>2</sup>day<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >Rajkumar et al. [<xref ref-type="bibr" rid="scirp.115536-ref47">47</xref>] <sup> </sup></td><td align="center" valign="middle" >Adyar River and Estuary</td><td align="center" valign="middle" >Emissions fluxes for the whole Adyar system ~2.5 &#215; 10<sup>8</sup> g CH<sub>4</sub>yr<sup>−1</sup> and ~2.4 &#215; 10<sup>6</sup> g N<sub>2</sub>Oyr<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >Datta et al. [<xref ref-type="bibr" rid="scirp.115536-ref48">48</xref>]</td><td align="center" valign="middle" >Integrated rain-fed rice-fish farming system</td><td align="center" valign="middle" >Fish rearing increased CH<sub>4</sub> emission from field plots planted to 2 varieties of rice cultivars with 112% increase in CH<sub>4</sub> emission and 74% respectively in both the varieties. On the contrary, fish stocking reduced N<sub>2</sub>O emission from field plots planted to both the rice varieties.</td></tr><tr><td align="center" valign="middle" >Selvam et al. [<xref ref-type="bibr" rid="scirp.115536-ref49">49</xref>]</td><td align="center" valign="middle" >45 water bodies include seven lakes, 10 ponds, 11 rivers, six open wells, five reservoirs, three springs, and three canals in Tamil Nadu, Kerala, and Andhra Pradesh</td><td align="center" valign="middle" >The total CH<sub>4</sub> flux (including ebullition and diffusion) from the 45 systems ranged from 0.01 to 52.1 mmolm<sup>−2</sup>d<sup>−1</sup>. The mean surface water CH<sub>4</sub> concentration was 3.8 to 14.5 &#181;M CO<sub>2</sub> fluxes ranged from 28.2 to 262.4 mmolm<sup>−2</sup>d<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >Linto et al. [<xref ref-type="bibr" rid="scirp.115536-ref50">50</xref>] <sup> </sup></td><td align="center" valign="middle" >Mangrove-associated waters of the Andaman Islands (Wright Myo; Kalighat)</td><td align="center" valign="middle" >Estimated mean tidal creek emissions were ~23 - 173 mmolm<sup>−2</sup>day<sup>−1</sup> CO<sub>2</sub> and ~0.11 - 0.47 mmolm<sup>−2</sup>day<sup>−1</sup> CH<sub>4 </sub> Total emissions from contiguous inshore waters are ~1.9 &#215; 10<sup>11</sup> molCO<sub>2</sub>yr<sup>−1</sup> and ~3.0 &#215; 10<sup>8</sup> molCH<sub>4</sub>yr<sup>−1</sup> from mangrove-influenced water</td></tr><tr><td align="center" valign="middle" >Attermeyer et al. [<xref ref-type="bibr" rid="scirp.115536-ref51">51</xref>]</td><td align="center" valign="middle" >Small water-harvesting lake in South India</td><td align="center" valign="middle" >Analyzed the effect of floating macrophytes on CO<sub>2</sub> and CH<sub>4</sub> emissions. The CO<sub>2</sub> and CH<sub>4</sub> emissions from areas covered by water hyacinths were found reduced by 57% compared with that of open water.</td></tr><tr><td align="center" valign="middle" >Shaher et al. [<xref ref-type="bibr" rid="scirp.115536-ref52">52</xref>]</td><td align="center" valign="middle" >Sewage-fed aquaculture ponds, East Kolkata Wetlands</td><td align="center" valign="middle" >Observed mean summer air-water CH<sub>4</sub> fluxes in the sewage fed aquaculture ponds having a depth of 1.1 m and 0.6 m were 24.79 &#177; 12.02 mgm<sup>−2</sup>h<sup>−1</sup> and 6.05 &#177; 3.14 mgm<sup>−2</sup>h<sup>−1</sup> respectively and CH<sub>4</sub> fluxes in the ponds were found positively correlated with water temperature</td></tr><tr><td align="center" valign="middle" >Kawade et al. [<xref ref-type="bibr" rid="scirp.115536-ref7">7</xref>] <sup> </sup></td><td align="center" valign="middle" >Tehri hydropower reservoir, India</td><td align="center" valign="middle" >Tehri reservoir is a source of CO<sub>2</sub> with gross CO<sub>2</sub> emission of about 0.30 &#177; 0.15 Gg CO<sub>2</sub>km<sup>−2</sup>yr<sup>−1</sup> and net CO<sub>2</sub> emission of 26.89 Gg CO<sub>2</sub>yr<sup>−1</sup></td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Mitigation Measures for GHGs Emission in Inland Water Bodies</title><p>There are opportunities to mitigate climate change through carbon sequestration and other management interventions minimizing carbon dioxide, nitrous oxide, and methane emission from inland open waters as wetlands and coastal mangroves are well known worldwide for their significant role in the storage of carbon. Globally, the coastal mangrove forests have been known to store relatively far more carbon vis-a-vis other forest-type systems [<xref ref-type="bibr" rid="scirp.115536-ref53">53</xref>]. The presence and prominence of deep organic-rich soils enable the mangrove forests to sequester huge amounts of carbon. Further, on an average per-unit-area basis these mangrove carbon stores are around five times in comparison to tropical terrestrial, temperate and boreal forests [<xref ref-type="bibr" rid="scirp.115536-ref54">54</xref>]. The settlement of organic and inorganic matter at sediment surface is allowed due to the presence of intricate root systems of mangroves which slows down and dissipates the incoming tidal currents. Further, inherent lower oxygenation also reduces the rate of decay thus driving a higher rate of carbon accumulation in the soil. This feature allows mangroves to store more carbon reserves than most tropical terrestrial forests along with their soil. These intriguing features further reaffirm the potential importance of mangroves and their role in the management of climate change issues.</p></sec><sec id="s5"><title>5. Methods of Estimation for Greenhouse Gas Emission from Different Inland Water Bodies</title><p>Global climate change is driven by the efflux of GHGs like CO<sub>2</sub>, CH<sub>4,</sub> and N<sub>2</sub>O. Assessment of the amount of GHGs released is crucial for predicting the status of climate change. Quantification of the concentration and fluxes of GHGs across human-impacted catchments from source to sea is of concern in the present day. The two-layer model of diffusive gas exchange and static headspace gas chromatography method are two common methods used for the quantification of GHGs emissions.</p><sec id="s5_1"><title>5.1. Closed-Chamber Method/Two-Layer Model of Diffusive Gas Exchange</title><p>A floating closed compartment is allowed to float at the surface of water and gas accumulation inside the compartment is measured in this method. Open-ended floating chambers are utilized in trapping the GHGs emitting over the water surface [<xref ref-type="bibr" rid="scirp.115536-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref55">55</xref>]. Floating chambers can be coated with paint or aluminum tape to avoid the entry of sunlight and reduce the heating of the sample. The chambers can be made of a chemically inert material like PVC/plastic buckets of around 6.5 L volume with a floating collar to maintain the desired level of water submergence (around 3 cm). Polyethylene is fixed over the chambers of the floating device. Nearly 2 cm of the chamber wall is allowed to submerge ensuring an airtight seal in between the chamber and surface water while reducing natural water turbulence impact below the chamber. The chamber is fitted with transparent PVC tubing having 3-way Luer-lock valves to transfer gas samples into 60 ml plastic syringes. An initial ambient air sample (around 2) is to be collected at the time of setting the chamber. The free-floating of the chamber is allowed over the water and final samples are necessary to collect from the individual chamber at one-hour intervals. At the time of sampling, the gas accumulated in the chamber should be mixed by pumping about 3 times with an attached syringe to the chamber. After this, gas samples should be transferred to a 20 ml glass vial containing saturated sodium chloride (NaCl) solution lacking headspace without any delay. The glass vial must be capped with a stopper and an aluminum seal. The glass vial should be held upside down at the time of sample transferring, allowing the excess NaCl to pass through a separate needle. Thus, undiluted gas sample collection can be done for storage until analysis. A Tedlar bag is an alternate option for the glass vial discussed above. Silicon tubing is used for connecting the air sampling pump with the inlet and outlet chamber and Tedlar bag incorporating a three-way stopcock. To ensure effective mixing of gas samples, the sucked air is discharged from the inlet to the outlet chamber using an air sampling pump. After this, the three-way stopcock is used to transfer the collected GHGs sample into a Tedlar bag. Constant headspace in the icebox is maintained for transporting GHGs fluxes collected at 60 minutes intervals in different Tedlar bags to the laboratory within 72 hours.</p><p>GHGs are analyzed gas chromatograph in two different steps viz., calibration of GC using analytical standard gas and then the estimation of GHGs in samples. Methane is detected in FID (Flame Ionization Detector) and CO<sub>2</sub> in TCD (Thermal Conductivity Detector). Carbon dioxide can also be detected in FID by using a methanizer. ECD (Electron Capture Detector) is used for the detection of N<sub>2</sub>O. The quantification of GHGs is carried out based on the response of standard GHGs in the chromatogram.</p></sec><sec id="s5_2"><title>5.2. Collection and Estimation of Dissolved GHGs</title><sec id="s5_2_1"><title>5.2.1. Static Headspace Gas Chromatography Method or Headspace Equilibration Method [<xref ref-type="bibr" rid="scirp.115536-ref15">15</xref>]</title><p>This method is used to analyze the dissolved GHGs in water samples. This can be done in different ways according to the literature available. Glass bottles of the desired size can be used for the collection of the water sample. Water samples thus collected (40 ml) should be equilibrated with ambient air (20 ml) by shaking underwater [<xref ref-type="bibr" rid="scirp.115536-ref56">56</xref>]. Sub-sampled or whole of equilibrated headspace is stored in airtight Exetainer vials. Sampling is to be done in duplicate or triplicate for quality control. GHGs concentration could be measured using a gas chromatograph with a flame ionization detector and electron capture detector. For DIC measurement, the samples are to be stored in gas-tight brown glass bottles (around 500 ml) with 100 &#181;l HgCl<sub>2</sub> to prevent biological degradation and light. For DOC, the sample is to be stored in 500 ml acid-washed polypropylene bottles. The bottles are to be stored at −18˚C for laboratory measurement. HPLC is used for the detection of Dissolved inorganic nitrogen (DIN: NO 3 − , NH 4 + and NO 2 − ) in water. TOC analyzer is used for detection of DIC (comprising HCO 3 − , CO 3 2 − and CO<sub>2</sub>), DOC.</p><p>100 ml sub-surface water sample (0.2 m in the water column) in triplicate is collected from fixed axial transects using Ruttner water sampler for dissolved CH<sub>4</sub>, N<sub>2</sub>O, and Dissolved Inorganic Nitrogen (DIN) ( NO 3 − , NO 2 − and NH 4 + ) analyses. Samples are then inoculated with 100 &#181;l HgCl<sub>2</sub> to stop any microbial activity and stored in dark at 4˚C for HDPE bottles. Dry ice is used to store the filtrates while transporting to the laboratory within 12 h period and further storage at −40˚C for a maximum period of seven days before analysis. A single-phase equilibration gas chromatography, with electron capture detection (ECD) for N<sub>2</sub>O and flame ionization detection (FID) for CH<sub>4</sub> [<xref ref-type="bibr" rid="scirp.115536-ref57">57</xref>] is then used for analyzing the concentration of dissolved N<sub>2</sub>O and CH<sub>4</sub>.</p></sec></sec><sec id="s5_3"><title>5.3. Recent Approaches to Understanding More about GHGs Emission</title><p>Over the last decade, the significant improvement in the use of statistically more robust designs [<xref ref-type="bibr" rid="scirp.115536-ref58">58</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref59">59</xref>] coupled with improved and newer sensing technologies [<xref ref-type="bibr" rid="scirp.115536-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref60">60</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref61">61</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref62">62</xref>] have paved the way for more accurate GHGs measurement from aquatic systems. This coupled with relatively increasing numbers of observations globally has enabled limnological researchers to identify the variables responsible more clearly for controlling GHGs emission rates at broad spatial scales.</p><sec id="s5_3_1"><title>5.3.1. Eddy Covariance Method</title><p>Eddy covariance method is an advanced technique that directly measures the continuous greenhouse gas emission over a larger area with detailed information on the short-term variation of flux, having high precision with a high sampling rate and short response time [<xref ref-type="bibr" rid="scirp.115536-ref63">63</xref>]. Gas fluxes, emission, and exchange rates are carefully characterized from a single point in situ measurements using permanent or mobile towers, or moving platforms such as automobiles, helicopters, airplanes, etc. Eddy covariance can characterize areas ranging from hundreds of square meters to tens of square kilometers depending on the measurement height and surface conditions. It has 3-dimensional sonic anemometers which measure the wind direction and its speed. It has sensors for N<sub>2</sub>O, CH<sub>4</sub>, CO<sub>2</sub>, and water vapor (H<sub>2</sub>O) along with sensors for measurements of incoming and outgoing, short wave and longwave radiation, and photosynthetically active radiation (PAR). The 3-dimensional wind speeds from the sonic anemometer and other variables, usually gas concentration, temperature, or momentum are decomposed into mean and fluctuating components. By finding the covariance between the vertical wind speed fluctuations with fluctuation in temperature, humidity, carbon dioxide, methane, sensible and latent heat, etc., fluxes of these variables are determined. The covariance is calculated between the fluctuating component of the vertical wind and the fluctuating component of gas concentration. This method is widely used for quantifying GHG emission rates from natural, urban and agricultural ecosystems. However, its application in inland aquatic ecosystems such as lakes and reservoirs is relatively new or limited to only a few mangrove ecosystems [<xref ref-type="bibr" rid="scirp.115536-ref64">64</xref>], marshy wetlands [<xref ref-type="bibr" rid="scirp.115536-ref65">65</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref66">66</xref>] [<xref ref-type="bibr" rid="scirp.115536-ref67">67</xref>], etc. It is always more advantageous than the traditional closed chamber method in the measurement of GHG, but its main disadvantage is its high cost, poor sensor performance during wet conditions, and requirement of a skilled person for its operation and data recording than the closed chamber technique.</p></sec></sec></sec><sec id="s6"><title>6. Future Research Needs and Focus Areas in the Indian Scenario</title><p>Inland fisheries in India are threatened by climate changes such as a change in temperature, precipitation, droughts, storm, floods that affect mostly production, productivity and ultimately affect the fishers’ livelihood. The fisheries are impacted owing to intricate interactions of different physico-chemical environmental variables such as winds, temperature, vertical mixing, salinity, pH, oxygen concentration, and others. The impact on the physiology, development rates, reproduction, behavior, and survival of individuals are associated with direct effects while changes in critical ecosystem processes, food production, abundance, and distribution of predators, competing communities, and pathogen are having indirect association with the impacts of rising GHGs emissions and its impact on climate change. In this scenario, the researchable topic of the C efflux from exposed sediments in dry streams, reservoirs, lakes, rivers, and ponds, into the atmosphere can be considered the need of the hour in biogeochemistry research and for mitigating climate change crisis owing to increasingly higher rates GHGs emission from natural and impacted aquatic ecosystems.</p><p>It is limited, or no studies have been done so far in our country with regards to the levels of greenhouse emission from inland open water bodies and their impact on the inland fisheries. Therefore, one of the most important steps which need to be taken at this point would be the assessment and monitoring of greenhouse gas emissions in inland open water bodies as well as necessary regulations should be made to mitigate this problem. Only after estimating GHG emission in a quantified manner, the carbon storage and sequestration ability of the wetlands and mangroves can be properly understood.</p></sec><sec id="s7"><title>Acknowledgments</title><p>The authors would like to thank The Director, ICAR-Central Inland Fisheries Research Institute, Kolkata, West Bengal, India for facilitating the publication of this review article.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Chanu, T.N., Nag, S.K., Koushlesh, S.K., Devi, M.S. and Das, B.K. (2022) Greenhouse Gas Emission from Inland Open Water Bodies and Their Estimation Process—An Emerging Issue in the Era of Climate Change. Agricultural Sciences, 13, 290-306. https://doi.org/10.4236/as.2022.132020</p></sec></body><back><ref-list><title>References</title><ref id="scirp.115536-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Solomon, S., Manning, M., Marquis, M. and Qin, D. (2007) Climate Change 2007—The Physical Science Basis: Working Group I Contribution to the Fourth Assessment Report of the IPCC (Vol. 4). Cambridge University Press, Cambridge.</mixed-citation></ref><ref id="scirp.115536-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Llovel, W., Purkey, S., Meyssignac, B., Blazquez, A., Kolodziejczyk, N. and Bamber, J. (2019) Global Ocean Freshening, Ocean Mass Increase and Global Mean Sea Level Rise over 2005-2015. Scientific Reports, 9, Article No. 17717. https://doi.org/10.1038/s41598-019-54239-2</mixed-citation></ref><ref id="scirp.115536-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">World Meteorological Organization (2017) WMO Statement on the State of the Global Climate in 2016.</mixed-citation></ref><ref id="scirp.115536-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Abril, G. and Borges, A.V. (2005) Carbon Dioxide and Methane Emissions from Estuaries. In: Greenhouse Gas Emissions—Fluxes and Processes, Springer, Berlin, 187-207. https://doi.org/10.1007/978-3-540-26643-3_8</mixed-citation></ref><ref id="scirp.115536-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Deemer, B.R., Harrison, J.A., Li, S., Beaulieu, J.J., DelSontro, T., Barros, N., Bezerra-Neto, J.F., Powers, S.M., Dos Santos, M.A. and Vonk, J.A. (2016) Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis. BioScience, 66, 949-964. https://doi.org/10.1093/biosci/biw117</mixed-citation></ref><ref id="scirp.115536-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Fearnside, P.M. and Pueyo, S. (2012) Underestimating Greenhouse Gas Emissions from Tropical Dams. Nature Climate Change, 2, 382-384. https://doi.org/10.1038/nclimate1540</mixed-citation></ref><ref id="scirp.115536-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Kawade, S., Kumar, A. and Sharma, M.P. (2018) Carbon Dioxide Emission from a Reservoir in India. International Journal of Lakes and Rivers, 11, 29-46.</mixed-citation></ref><ref id="scirp.115536-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Rodriguez, M. and Casper, P. (2018) Greenhouse Gas Emissions from a Semi-Arid Tropical Reservoir in Northeastern Brazil. Regional Environmental Change, 18, 1901-1912. https://doi.org/10.1007/s10113-018-1289-7</mixed-citation></ref><ref id="scirp.115536-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Gruca-Rokosz, R. (2020) Quantitative Fluxes of the Greenhouse Gases CH4 and CO2 from the Surfaces of Selected Polish Reservoirs. Atmosphere, 11, 286. https://doi.org/10.3390/atmos11030286</mixed-citation></ref><ref id="scirp.115536-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Pachauri, R.K. and Reisinger, A. (2007) IPCC Fourth Assessment Report. IPCC, Geneva.</mixed-citation></ref><ref id="scirp.115536-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Ravishankara, A.R., Daniel, J.S. and Portmann, R.W. (2009) Nitrous Oxide (N2O): The Dominant Ozone-Depleting Substance Emitted in the 21st Century. Science, 326, 123-125. https://doi.org/10.1126/science.1176985</mixed-citation></ref><ref id="scirp.115536-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">World Meteorological Organization (2020) WMO Statement on the State of the Global Climate in 2019. World Meteorological Organization (WMO), Geneva.</mixed-citation></ref><ref id="scirp.115536-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Global Warming Potentials (IPCC Second Assessment Report).https://unfccc.int/process/transparency-and-reporting/greenhouse-gas-data/greenhouse-gas-data-unfccc/global-warming-potentials</mixed-citation></ref><ref id="scirp.115536-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Drake, T.W., Raymond, P.A. and Spencer, R.G.M. (2018) Terrestrial Carbon Inputs to Inland Waters: A Current Synthesis of Estimates and Uncertainty. Limnology and Oceanography Letters, 3, 132-142. https://doi.org/10.1002/lol2.10055</mixed-citation></ref><ref id="scirp.115536-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Cole, J.J., Prairie, Y.T., Caraco, N.F., McDowell, W.H., Tranvik, L.J., Striegl, R.G., Duarte, C.M., Kortelainen, P., Downing, J.A., Middelburg, J.J. and Melack, J. (2007) Plumbing the Global Carbon Cycle: Integrating Inland Waters into the Terrestrial Carbon Budget. Ecosystems, 10, 172-185. https://doi.org/10.1007/s10021-006-9013-8</mixed-citation></ref><ref id="scirp.115536-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bastviken, D., Santoro, A.L., Marotta, H., Pinho, L.Q., Calheiros D.F., Crill, P. and Enrich-Prast, A. (2010) Methane Emissions from Pantanal, South America, during the Low Water Season: Toward More Comprehensive Sampling. Environmental Science &amp; Technology, 44, 5450-5455. https://doi.org/10.1021/es1005048</mixed-citation></ref><ref id="scirp.115536-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Soued, C., del Giorgio, P.A. and Maranger, R. (2016) Nitrous Oxide Sinks and Emissions in Boreal Aquatic Networks in Québec. Nature Geoscience, 9, 116-123. https://doi.org/10.1038/ngeo2611</mixed-citation></ref><ref id="scirp.115536-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Butman, D. and Raymond, P.A. (2011) Significant Efflux of Carbon Dioxide from Streams and Rivers in the United States. Nature Geoscience, 4, 839-842. https://doi.org/10.1038/ngeo1294</mixed-citation></ref><ref id="scirp.115536-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Cole, J.J., Caraco, N.E., Kling, G.W. and Kratz, T.K. (1994) Carbon-Dioxide Supersaturation in the Surface Waters of Lakes. Science, 265, 1568-1570. https://doi.org/10.1126/science.265.5178.1568</mixed-citation></ref><ref id="scirp.115536-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Raymond, P.A., Hartmann, J., Lauerwald, R., Sobek, S., McDonald, C., Hoover, M., Butman, D., Striegl, R., Mayorga, E., Humborg, C. and Kortelainen, P. (2013) Global Carbon Dioxide Emissions from Inland Waters. Nature, 503, 355-359. https://doi.org/10.1038/nature12760</mixed-citation></ref><ref id="scirp.115536-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Stanley, E.H., Casson, N.J., Christel, S.T., Crawford, J.T., Loken, L.C. and Oliver, S.K. (2016) The Ecology of Methane in Streams and Rivers: Patterns, Controls, and Global Significance. Ecological Monographs, 86, 146-171. https://doi.org/10.1890/15-1027</mixed-citation></ref><ref id="scirp.115536-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">DelSontro, T., Beaulieu, J.J. and Downing, J.A. (2018) Greenhouse Gas Emissions from Lakes and Impoundments: Upscaling in the Face of Global Change. Limnology and Oceanography Letters, 3, 64-75. https://doi.org/10.1002/lol2.10073</mixed-citation></ref><ref id="scirp.115536-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Natchimuthu, S., Selvam, B.P. and Bastviken, D. (2014) Influence of Weather Variables on Methane and Carbon Dioxide Flux from a Shallow Pond. Biogeochemistry, 119, 403-413. https://doi.org/10.1007/s10533-014-9976-z</mixed-citation></ref><ref id="scirp.115536-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Yang, P., He, Q., Huang, J. and Tong, C. (2015) Fluxes of Greenhouse Gases at Two Different Aquaculture Ponds in the Coastal Zone of Southeastern China. Atmospheric Environment, 115, 269-277. https://doi.org/10.1016/j.atmosenv.2015.05.067</mixed-citation></ref><ref id="scirp.115536-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Marce, R., Obrador, B., Gomez-Gener, L., Catalan, N., Koschorreck, M., Arce, M.I., Singer, G. and von Schiller, D. (2019) Emissions from Dry Inland Waters Are a Blind Spot in the Global Carbon Cycle. Earth-Science Reviews, 188, 240-248. https://doi.org/10.1016/j.earscirev.2018.11.012</mixed-citation></ref><ref id="scirp.115536-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">ICAR (2011) Handbook of Fisheries and Aquaculture.</mixed-citation></ref><ref id="scirp.115536-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Department of Fisheries, Government of India, Inland Fisheries. http://dof.gov.in/inland-fisheries</mixed-citation></ref><ref id="scirp.115536-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Dusek, J., Darenova, E., Pavelka, M. and Marek, M.V. (2020) Methane and Carbon Dioxide Release from Wetland Ecosystems. In: Climate Change and Soil Interactions, Elsevier, Amsterdam, 509-553. https://doi.org/10.1016/B978-0-12-818032-7.00019-9</mixed-citation></ref><ref id="scirp.115536-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Foster, J., Evans, L., Curtin, A. and Hill, B. (2012) The Role of Wetlands in the Carbon Cycle. Issues Paper the Role of Wetlands in the Carbon Cycle. Department of Environment. Australian Government.</mixed-citation></ref><ref id="scirp.115536-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Dignac, M.F., Derrien, D., Barre, P., Barot, S., Cécillon, L., Chenu, C., Chevallier, T., Freschet, G.T., Garnier, P., Guenet, B. and Hedde, M. (2017) Increasing Soil Carbon Storage: Mechanisms, Effects of Agricultural Practices and Proxies. A Review. Agronomy for Sustainable Development, 37, 14. https://doi.org/10.1007/s13593-017-0421-2</mixed-citation></ref><ref id="scirp.115536-ref31"><label>31</label><mixed-citation publication-type="book" xlink:type="simple">Nag, S.K. (2016) Wetlands: Gaseous Emissions. In: Lal, R., Ed., Encyclopedia of Soil Science, CRC Press, Taylor &amp; Francis, Boca Raton, Vol. 3, 2589-2595. https://doi.org/10.1081/E-ESS3-120052907</mixed-citation></ref><ref id="scirp.115536-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Bastviken, D., Cole, J., Pace, M. and Tranvik, L. (2004) Methane Emissions from Lakes: Dependence of Lake Characteristics, Two Regional Assessments, and a Global Estimate. Global Biogeochemical Cycles, 18, GB4009. https://doi.org/10.1029/2004GB002238</mixed-citation></ref><ref id="scirp.115536-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Lapierre, J.F. and Del Giorgio, P.A. (2014) Partial Coupling and Differential Regulation of Biologically and Photochemically Labile Dissolved Organic Carbon across Boreal Aquatic Networks. Biogeosciences, 11, 5969-5985. https://doi.org/10.5194/bg-11-5969-2014</mixed-citation></ref><ref id="scirp.115536-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Holgerson, M.A. and Raymond, P.A. (2016) Large Contribution to Inland Water CO2 and CH4 Emissions from Very Small Ponds. Nature Geoscience, 9, 222-226. https://doi.org/10.1038/ngeo2654</mixed-citation></ref><ref id="scirp.115536-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Seitzinger, S.P. and Kroeze, C. (1998) Global Distribution of Nitrous Oxide Production and N Inputs in Freshwater and Coastal Marine Ecosystems. Global Biogeochemical Cycles, 12, 93-113. https://doi.org/10.1029/97GB03657</mixed-citation></ref><ref id="scirp.115536-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Gattuso, J.P., Frankignoulle, M. and Wollast, R. (1998) Carbon and Carbonate Metabolism in Coastal Aquatic Ecosystems. Annual Review of Ecology and Systematics, 29, 405-434. https://doi.org/10.1146/annurev.ecolsys.29.1.405</mixed-citation></ref><ref id="scirp.115536-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">DeLaune, R.D. and Pezeshki, S.R. (2003) The Role of Soil Organic Carbon in Maintaining Surface Elevation in Rapidly Subsiding US Gulf of Mexico Coastal Marshes. Water, Air and Soil Pollution: Focus, 3, 167-179. https://doi.org/10.1023/A:1022136328105</mixed-citation></ref><ref id="scirp.115536-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Kelley, C.A., Martens, C.S. and Ussler III, W. (1995) Methane Dynamics across a Tidally Flooded Riverbank Margin. Limnology and Oceanography, 40, 1112-1129. https://doi.org/10.4319/lo.1995.40.6.1112</mixed-citation></ref><ref id="scirp.115536-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Magenheimer, J.F., Moore T.R., Chmura, G.L. and Daoust, R.J. (1996) Methane and Carbon Dioxide Flux from a Macrotidal Salt Marsh, Bay of Fundy, New Brunswick. Estuaries, 19, 139-145. https://doi.org/10.2307/1352658</mixed-citation></ref><ref id="scirp.115536-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Chmura, G.L., Kellman, L. and Guntenspergen, G.R. (2011) The Greenhouse Gas Flux and Potential Global Warming Feedbacks of a Northern Macrotidal and Microtidal Salt Marsh. Environmental Research Letters, 6, Article ID: 044016. https://doi.org/10.1088/1748-9326/6/4/044016</mixed-citation></ref><ref id="scirp.115536-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Hu, B., Wang, D., Zhou, J., Meng, W., Li, C., Sun, Z., Guo, X. and Wang, Z. (2018) Greenhouse Gases Emission from the Sewage Draining Rivers. Science of the Total Environment, 612, 1454-1462. https://doi.org/10.1016/j.scitotenv.2017.08.055</mixed-citation></ref><ref id="scirp.115536-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Gonzalez-Valencia, R., Magana-Rodriguez, F., Gerardo-Nieto, O., Sepulveda-Jauregui, A., Martinez-Cruz, K., Anthony, K.W., Baer, D. and Thalasso, F. (2014) In Situ Measurement of Dissolved Methane and Carbon Dioxide in Freshwater Ecosystems by Off-Axis Integrated Cavity Output Spectroscopy-Supporting Information. Environmental Science and Technology, 48, 11421-11428. https://doi.org/10.1021/es500987j</mixed-citation></ref><ref id="scirp.115536-ref43"><label>43</label><mixed-citation publication-type="book" xlink:type="simple">Myhre, G., Shindell, D. and Pongratz, J. (2014) Anthropogenic and Natural Radioactive Forcing, In: Stocker, T., et al., Eds., Climate Change: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Univ. Press. Cambridge, 659-740.</mixed-citation></ref><ref id="scirp.115536-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Richards, B. and Craft, C.B. (2015) Greenhouse Gas Fluxes from Restored Agricultural Wetlands and Natural Wetlands, Northwestern Indiana. In: The Role of Natural and Constructed Wetlands in Nutrient Cycling and Retention on the Landscape, Springer, Cham, 17-32. https://doi.org/10.1007/978-3-319-08177-9_2</mixed-citation></ref><ref id="scirp.115536-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Ghosh, S., Jana. T.K., Singh, B.N. and Choudhury, A. (1987) Comparative Study of Carbon Dioxide System in Virgin and Reclaimed Mangrove Waters of Sundarbans during Freshet. Mahasagar Bulletin, National Institute of Oceanography, 20, 155-161.</mixed-citation></ref><ref id="scirp.115536-ref46"><label>46</label><mixed-citation publication-type="other" xlink:type="simple">Biswas, H., Mukhopadhyay, S.K., Sen, S. and Jana, T.K. (2007) Spatial and Temporal Patterns of Methane Dynamics in the Tropical Mangrove-Dominated Estuary, NE Coast of Bay of Bengal, India. Journal of Marine Systems, 68, 55-64. https://doi.org/10.1016/j.jmarsys.2006.11.001</mixed-citation></ref><ref id="scirp.115536-ref47"><label>47</label><mixed-citation publication-type="other" xlink:type="simple">Rajkumar, A.N., Barnes, J., Ramesh, R., Purvaja, R. and Upstill-Goddard, R.C. (2008) Methane and Nitrous Oxide Fluxes in the Polluted Adyar River and Estuary, SE India. Marine Pollution Bulletin, 56, 2043-2051. https://doi.org/10.1016/j.marpolbul.2008.08.005</mixed-citation></ref><ref id="scirp.115536-ref48"><label>48</label><mixed-citation publication-type="other" xlink:type="simple">Datta, A., Nayak, D.R., Sinhababu, D.P. and Adhya, T.K. (2009) Methane and Nitrous Oxide Emissions from an Integrated Rain-Fed Rice-Fish Farming System of Eastern India. Agriculture, Ecosystems &amp; Environment, 129, 228-237. https://doi.org/10.1016/j.agee.2008.09.003</mixed-citation></ref><ref id="scirp.115536-ref49"><label>49</label><mixed-citation publication-type="other" xlink:type="simple">Panneer Selvam, B., Natchimuthu, S., Arunachalam, L. and Bastviken, D. (2014) Methane and Carbon Dioxide Emissions from Inland Waters in India-Implications for Large Scale Greenhouse Gas Balances. Global Change Biology, 20, 3397-3407. https://doi.org/10.1111/gcb.12575</mixed-citation></ref><ref id="scirp.115536-ref50"><label>50</label><mixed-citation publication-type="other" xlink:type="simple">Linto, N., Barnes, J., Ramachandran, R., Divia, J., Ramachandran, P. and Upstill-Goddard, R.C. (2014) Carbon Dioxide and Methane Emissions from Mangrove-Associated Waters of the Andaman Islands, Bay of Bengal. Estuaries and Coasts, 37, 381-398. https://doi.org/10.1007/s12237-013-9674-4</mixed-citation></ref><ref id="scirp.115536-ref51"><label>51</label><mixed-citation publication-type="other" xlink:type="simple">Attermeyer, K., Flury, S., Jayakumar, R., Fiener, P., Steger, K., Arya, V., Wilken, F., Van Geldern, R. and Premke, K. (2016) Invasive Floating Macrophytes Reduce Greenhouse Gas Emissions from a Small Tropical Lake. Scientific Reports, 6, Article No. 20424. https://doi.org/10.1038/srep20424</mixed-citation></ref><ref id="scirp.115536-ref52"><label>52</label><mixed-citation publication-type="other" xlink:type="simple">Shaher, S., Chanda, A., Das, S., Das, I., Giri, S., Samanta, S., Hazra, S. and Mukherjee, A.D. (2020) Summer Methane Emissions from Sewage Water-Fed Tropical Shallow Aquaculture Ponds Characterized by Different Water Depths. Environmental Science and Pollution Research, 27, 18182-18195. https://doi.org/10.1007/s11356-020-08296-0</mixed-citation></ref><ref id="scirp.115536-ref53"><label>53</label><mixed-citation publication-type="other" xlink:type="simple">Donato D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M. and Kanninen, M. (2011) Mangroves among the Most Carbon-Rich Forests in the Tropics. Nature Geoscience, 4, 293-297. https://doi.org/10.1038/ngeo1123</mixed-citation></ref><ref id="scirp.115536-ref54"><label>54</label><mixed-citation publication-type="other" xlink:type="simple">USDA Forest Service, Pacific Southwest Research Station (2011) Mangroves among the Most Carbon-Rich Forests in the Tropics; Coastal Trees Key to Lowering Greenhouse Gases. Science Daily.https://www.sciencedaily.com/releases/2011/04/110404173247.htm</mixed-citation></ref><ref id="scirp.115536-ref55"><label>55</label><mixed-citation publication-type="other" xlink:type="simple">McGinnis, D.F., Kirillin, G., Tang, K.W., Flury, S., Bodmer, P., Engelhardt, C., Casper, P. and Grossart, H.P. (2015) Enhancing Surface Methane Fluxes from an Oligotrophic Lake: Exploring the Microbubble Hypothesis. Environmental Science &amp; Technology, 49, 873-880. https://doi.org/10.1021/es503385d</mixed-citation></ref><ref id="scirp.115536-ref56"><label>56</label><mixed-citation publication-type="other" xlink:type="simple">Qu, B., Aho, K.S., Li, C., Kang, S., Sillanp&amp;#228;&amp;#228;, M., Yan, F. and Raymond, P.A. (2017) Greenhouse Gases Emissions in Rivers of the Tibetan Plateau. Scientific Reports, 7, Article No. 16573. https://doi.org/10.1038/s41598-017-16552-6</mixed-citation></ref><ref id="scirp.115536-ref57"><label>57</label><mixed-citation publication-type="other" xlink:type="simple">Upstill-Goddard, R.C., Rees, A.P. and Owens, N.J.P. (1996) Simultaneous High-Precision Measurements of Methane and Nitrous Oxide in Water and Seawater by Single-Phase Equilibration Gas Chromatography. Deep-Sea Research Part I: Oceanographic Research Papers, 430, 1669-1682. https://doi.org/10.1016/S0967-0637(96)00074-X</mixed-citation></ref><ref id="scirp.115536-ref58"><label>58</label><mixed-citation publication-type="other" xlink:type="simple">Beaulieu, J.J., McManus, M.G. and Nietch, C.T. (2016) Estimates of Reservoir Methane Emissions Based on a Spatially Balanced Probabilistic Survey. Limnology and Oceanography, 61, S27-S40. https://doi.org/10.1002/lno.10284</mixed-citation></ref><ref id="scirp.115536-ref59"><label>59</label><mixed-citation publication-type="other" xlink:type="simple">Wik, M., Thornton, B.F., Bastviken, D., Uhlb&amp;#228;ck, J. and Crill, P.M. (2016) Biased Sampling of Methane Release from Northern Lakes: A Problem for Extrapolation. Geophysical Research Letters, 43, 1256-1262. https://doi.org/10.1002/2015GL066501</mixed-citation></ref><ref id="scirp.115536-ref60"><label>60</label><mixed-citation publication-type="other" xlink:type="simple">Eugster, W., DelSontro, T. and Sobek, S. (2011) Eddy Covariance Flux Measurements Confirm Extreme CH4 Emissions from a Swiss Hydropower Reservoir and Resolve Their Short-Term Variability. Biogeosciences, 8, 5019-5055. https://doi.org/10.5194/bg-8-2815-2011</mixed-citation></ref><ref id="scirp.115536-ref61"><label>61</label><mixed-citation publication-type="other" xlink:type="simple">Maeck, A., Hofmann, H. and Lorke, A. (2014) Pumping Methane out of Aquatic Sediments—Ebullition Forcing Mechanisms in an Impounded River. Biogeosciences, 11, 2925-2938. https://doi.org/10.5194/bg-11-2925-2014</mixed-citation></ref><ref id="scirp.115536-ref62"><label>62</label><mixed-citation publication-type="other" xlink:type="simple">Delwiche, K., Senft-Grupp, S. and Hemond, H. (2015) A Novel Optical Sensor Designed to Measure Methane Bubble Sizes in Situ. Limnology and Oceanography: Methods, 13, 712-721. https://doi.org/10.1002/lom3.10060</mixed-citation></ref><ref id="scirp.115536-ref63"><label>63</label><mixed-citation publication-type="other" xlink:type="simple">Kumar, A., Bhatia, A, Fagodiya, R.K., Malyan, S.K. and Meena, B.L. (2017) Eddy Covariance Flux Tower: A Promising Technique for Greenhouse Gases Measurement. Advances in Plants &amp; Agriculture Research, 7, 337-340. https://doi.org/10.15406/apar.2017.07.00263</mixed-citation></ref><ref id="scirp.115536-ref64"><label>64</label><mixed-citation publication-type="other" xlink:type="simple">Jha, C.S., Rodda, S.R., Thumaty, K.C., Raha, A.K. and Dadhwal, V.K. (2014) Eddy Covariance-Based Methane Flux in Sundarbans Mangroves, India. Journal of Earth System Science, 123, 1089-1096. https://doi.org/10.1007/s12040-014-0451-y</mixed-citation></ref><ref id="scirp.115536-ref65"><label>65</label><mixed-citation publication-type="other" xlink:type="simple">Schubert, M., Paschke, A., Lieberman, E. and Burnett, W.C. (2012) Air-Water Partitioning of 222Rn and Its Dependence on Water Temperature and Salinity. Environmental Science &amp; Technology, 46, 3905-3911. https://doi.org/10.1021/es204680n</mixed-citation></ref><ref id="scirp.115536-ref66"><label>66</label><mixed-citation publication-type="other" xlink:type="simple">Podgrajsek, E., Sahlée, E., Bastviken, D., Holst, J., Lindroth, A., Tranvik, L. and Rutgersson, A. (2014) Comparison of Floating Chamber and Eddy Covariance Measurements of Lake Greenhouse Gas Fluxes. Biogeosciences, 11, 4225-4233. https://doi.org/10.5194/bg-11-4225-2014</mixed-citation></ref><ref id="scirp.115536-ref67"><label>67</label><mixed-citation publication-type="other" xlink:type="simple">Erkkila, K.M., Ojala, A., Bastviken, D., Biermann, T., Heiskanen, J.J., Lindroth, A., Peltola, O., Rantakari, M., Vesala, T. and Mammarella, I. (2018) Methane and Carbon Dioxide Fluxes over a Lake: Comparison between Eddy Covariance, Floating Chambers and Boundary Layer Method. Biogeosciences, 15, 429-445. https://doi.org/10.5194/bg-15-429-2018</mixed-citation></ref></ref-list></back></article>