<?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.2019.102016</article-id><article-id pub-id-type="publisher-id">AS-90786</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>
 
 
  Effects of Land Use on Greenhouse Gas Flux in Playa Wetlands and Associated Watersheds in the High Plains, USA
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dale</surname><given-names>W. Daniel</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>Loren</surname><given-names>M. Smith</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>Scott</surname><given-names>T. McMurry</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>Brian</surname><given-names>A. Tangen</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Charles</surname><given-names>F. Dahl</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ned</surname><given-names>H. Euliss Jr.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ted</surname><given-names>LaGrange</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Nebraska Game &amp;amp; Parks Commission, Wetlands Program, Lincoln, NE, USA</addr-line></aff><aff id="aff2"><addr-line>U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, ND, USA</addr-line></aff><aff id="aff1"><addr-line>Department of Integrative Biology, Oklahoma State University, Stillwater, OK, USA</addr-line></aff><pub-date pub-type="epub"><day>18</day><month>02</month><year>2019</year></pub-date><volume>10</volume><issue>02</issue><fpage>181</fpage><lpage>201</lpage><history><date date-type="received"><day>24,</day>	<month>September</month>	<year>2018</year></date><date date-type="rev-recd"><day>24,</day>	<month>February</month>	<year>2019</year>	</date><date date-type="accepted"><day>27,</day>	<month>February</month>	<year>2019</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>
 
 
  In the High Plains, U.S., native prairie conversion to cropland agriculture has resulted in a loss of service delivery capabilities from most depressional wetlands as a result of sedimentation. Restoring historic hydrological conditions to affected wetlands may rejuvenate some services, however, there may be tradeoffs due to emissions of CH
  <sub>4</sub> and N
  <sub>2</sub>O. We evaluated the influence of two predominant conservation programs (Wetlands Reserve Program, WRP and Conservation Reserve Program, CRP) on gas emissions (CO
  <sub>2</sub>, CH
  <sub>4</sub>, N
  <sub>2</sub>O) from 42 playas and uplands in the High Plains of Nebraska. Because playa restoration through the WRP is most prevalent in the Rainwater Basin (RWB), we studied 27 playas/uplands among reference condition, cropland, and WRP land uses. We studied 15 playas/uplands within native grassland, cropland, and CRP land uses in the Western High Plains (WHP) of Nebraska. Emissions were collected bi-weekly from April-October of 2012 and 2013 from four landscape positions extending outward from the wetland center into upland. In RWB playas, CH
  <sub>4</sub> and N
  <sub>2</sub>O emissions were similar among land uses but CO
  <sub>2</sub> was 28% higher in cropland than WRP wetlands. Cropland uplands emitted 648% more N
  <sub>2</sub>O than reference and WRP uplands. Overall, net CO
  <sub>2-equiv</sub> emissions were lower in playas/uplands in WRP, suggesting that benefits of playa restoration may include climate mitigation services as well as increased water storage capacity and biodiversity provisioning. In the WHP, cropland and grassland playas emitted 46 and 23 times more CH
  <sub>4</sub>, respectively, than CRP in 2013. Playas in CRP emitted 43% less N
  <sub>2</sub>O than cropland playas. In 2013, net emissions for cropland and native grassland playas were 75% and 39% greater, respectively, than CRP playas. In the WHP, the benefits of lower gas emissions must be appropriately weighted against tradeoffs of ecosystem services related to shorter hydroperiods as a result of reduced runoff into playas in CRP.
 
</p></abstract><kwd-group><kwd>Conservation Reserve Program</kwd><kwd> Depressional Wetlands</kwd><kwd> Ecosystem Services</kwd><kwd> Global Climate Change</kwd><kwd> Wetlands Reserve Program</kwd><kwd> Wetland Restoration</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Land use change has been identified as the most significant human impact to global climate [<xref ref-type="bibr" rid="scirp.90786-ref1">1</xref>]. Converting land from natural vegetative conditions changes the physical properties of the landscape including surface heat fluxes and albedo [<xref ref-type="bibr" rid="scirp.90786-ref1">1</xref>] , which consequently alters biogeochemical functioning [<xref ref-type="bibr" rid="scirp.90786-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref3">3</xref>]. When soils are disturbed, stored carbon molecules become exposed to microbial activity which releases soil bound carbon into the atmosphere [<xref ref-type="bibr" rid="scirp.90786-ref4">4</xref>]. Natural ecosystems that are converted to cropland can have up to 50% - 70% carbon loss from soils [<xref ref-type="bibr" rid="scirp.90786-ref5">5</xref>]. Estimates suggest that land conversion is responsible for approximately 25% of net anthropogenic greenhouse gas (GHG) emissions [<xref ref-type="bibr" rid="scirp.90786-ref2">2</xref>].</p><p>Watershed alterations and conversion of wetland ecosystems to other uses can have a substantial impact on climate [<xref ref-type="bibr" rid="scirp.90786-ref6">6</xref>]. Wetland systems are among the most productive ecosystems in the world and have a large capacity to sequester atmospheric carbon [<xref ref-type="bibr" rid="scirp.90786-ref7">7</xref>]. It is estimated that 771 GtC is still contained within wetland systems, an amount comparable to the carbon concentration of today’s atmosphere [<xref ref-type="bibr" rid="scirp.90786-ref8">8</xref>]. By the 1980s, more than half of U.S. wetlands had been lost to agricultural enterprise and those that were not lost were subject to degradation including nutrient and chemical runoff, sediment erosion, and physical alteration [<xref ref-type="bibr" rid="scirp.90786-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref10">10</xref>]. Wetland loss due to land conversion has resulted in net emissions of carbon into the atmosphere [<xref ref-type="bibr" rid="scirp.90786-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref12">12</xref>].</p><p>By protecting degraded wetlands from further land conversion and restoring hydrology, wetland functional attributes including carbon sequestration may be restored [<xref ref-type="bibr" rid="scirp.90786-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref14">14</xref>]. However, there is debate as to the influence wetland restoration has on climate mitigation potential. [<xref ref-type="bibr" rid="scirp.90786-ref6">6</xref>] suggested that the carbon sink of North American wetlands is counterbalanced by their CH<sub>4</sub> emissions and wetland conversion to other land uses has resulted in a reduction in net radiative forcing in North America. It is often assumed that by restoring wetlands, any increases in carbon sequestration will be offset by subsequent increases in CH<sub>4</sub> [<xref ref-type="bibr" rid="scirp.90786-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref15">15</xref>]. Nitrous-oxide emissions may also be increased in wetland restoration sites that were previously fertilized croplands [<xref ref-type="bibr" rid="scirp.90786-ref16">16</xref>].</p><p>Land conversion for cultivation constitutes the most significant land use change in the U.S. and agriculture was responsible for 9% of total GHG emissions in 2012 [<xref ref-type="bibr" rid="scirp.90786-ref17">17</xref>]. The U.S. Great Plains is among the most heavily cultivated regions in the world and is likely to be a fundamental contributor to present and future climate change [<xref ref-type="bibr" rid="scirp.90786-ref18">18</xref>]. However, little is known about the flux strength of the numerous depressional playa wetlands that occupy the High Plains portion of the Great Plains.</p><p>Playa wetlands exist as the dominant surface water feature on the High Plains landscape and their natural functioning provides critical ecosystem services that are not provided elsewhere [<xref ref-type="bibr" rid="scirp.90786-ref19">19</xref>]. Cropland agriculture is the major threat to playa hydrology and concomitant functioning, with impacts from physical modifications to sediment accumulation [<xref ref-type="bibr" rid="scirp.90786-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref21">21</xref>]. [<xref ref-type="bibr" rid="scirp.90786-ref22">22</xref>] estimated that 60% of playa wetlands in the Southern High Plains have been physically lost due to sediment filling and 95.3% of playas have been modified. Increased sediment loads in playas force water to spread over a larger area, thus increasing evaporation loss and water infiltration into porous upland soils [<xref ref-type="bibr" rid="scirp.90786-ref23">23</xref>]. [<xref ref-type="bibr" rid="scirp.90786-ref24">24</xref>] found that water loss rates were higher in playas with highly cultivated upland watersheds compared to native grasslands. Decreased ponding times of playas favor the establishment of more xeric flora that are often less productive than wetland species [<xref ref-type="bibr" rid="scirp.90786-ref25">25</xref>]. Impacts from native grassland conversion to cropland result in diminished playa service capacity [<xref ref-type="bibr" rid="scirp.90786-ref19">19</xref>] and ultimately change the basic biogeochemical drivers mediating influxes and effluxes of GHGs.</p><p>In the High Plains, there are conservation programs and incentives available for landowners that provide playas protection from negative agricultural effects [<xref ref-type="bibr" rid="scirp.90786-ref19">19</xref>]. Some programs such as the U.S. Department of Agriculture’s (USDA) Wetlands Reserve Program (WRP) are designed to restore wetland functioning by implementing practices including sediment removal and wetland buffer establishment. The largest conservation program in the U.S. is the USDA’s Conservation Reserve Program (CRP) which is designed to conserve highly erodible cropland and did not, historically, consider wetlands [<xref ref-type="bibr" rid="scirp.90786-ref19">19</xref>]. The CRP primarily affects wetlands by influencing runoff from their watersheds [<xref ref-type="bibr" rid="scirp.90786-ref26">26</xref>]. Runoff is the largest water contributor to the playa water budget [<xref ref-type="bibr" rid="scirp.90786-ref21">21</xref>]. Because these programs implement differing conservation practices, they may have different contributions to GHG fluxes based upon their influence on playa hydrology.</p><p>As one of the largest contributors to global atmospheric GHGs, the United States has taken steps to reduce its emissions [<xref ref-type="bibr" rid="scirp.90786-ref27">27</xref>]. With a better understanding of not only regional emissions contributions but the contributions from ecosystem interactions within those regions, we can provide better insight into possible mitigation strategies. Though playas only occupy 2% - 5% of the Great Plains landscape [<xref ref-type="bibr" rid="scirp.90786-ref28">28</xref>] , they may be of critical importance to the GHG budget. Their capacity to provide climate mitigation services, however, may be threatened by cropland agriculture. Conservation programs are highly concentrated in the Great Plains but none of these programs implement practices specifically for reducing GHG emissions. These conservation programs have significant influences on playa hydrology and therefore on the relative contribution of playas to GHG emissions. This study evaluated the effects of differing land use types and conservation programs (WRP and CRP) on GHG emissions in playa wetlands and adjacent uplands.</p></sec><sec id="s2"><title>2. Study Area</title><p>Playas were sampled from the western High Plains (WHP) and Rainwater Basin (RWB) regions of Nebraska [<xref ref-type="bibr" rid="scirp.90786-ref29">29</xref>]. Playas in the WHP occupy all or part of 13 counties in the southwest corner of Nebraska, south of the Platte River [<xref ref-type="bibr" rid="scirp.90786-ref29">29</xref>]. They coincide with the short-grass prairie ecoregion which receives low annual rainfall of 40 - 45 cm∙yr<sup>−1</sup> and high annual evapotranspiration of about 165 cm∙yr<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.90786-ref21">21</xref>]. The region is characterized by nearly flat loess soils with the predominant hydric soil being the Lodgepole series [<xref ref-type="bibr" rid="scirp.90786-ref30">30</xref>]. On average, playas in this region are less than 4 ha in size [<xref ref-type="bibr" rid="scirp.90786-ref31">31</xref>]. Croplands typically consist of wheat, corn, and soybeans [<xref ref-type="bibr" rid="scirp.90786-ref30">30</xref>] and playas in this region often dry up early in the year and are planted through [<xref ref-type="bibr" rid="scirp.90786-ref29">29</xref>]. The most common conservation program implemented in this region is the CRP which occupies more than 131,000 ha of that landscape [<xref ref-type="bibr" rid="scirp.90786-ref30">30</xref>].</p><p>The RWB is characterized by gently rolling loess plains historically dominated by mixed-grass and tall-grass prairie [<xref ref-type="bibr" rid="scirp.90786-ref32">32</xref>]. Annual precipitation is greater in the RWB than in WHP playas, receiving on average, 69 cm∙yr<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.90786-ref33">33</xref>]. Hydric soils consist of Fillmore, Scott, and Massie series that differ in their properties based upon their length of inundation and in many cases all three soils may exist within a single playa basin [<xref ref-type="bibr" rid="scirp.90786-ref34">34</xref>]. Playas in this region range from 0.1 to 1000 ha in size and from 1 to 5 m in depth [<xref ref-type="bibr" rid="scirp.90786-ref35">35</xref>] giving them the potential to store large quantities of surface water; however, most of the smaller wetlands have been lost [<xref ref-type="bibr" rid="scirp.90786-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref36">36</xref>]. Estimates of historic wetland numbers in the RWB suggest that approximately 4000 wetlands covering 38,000 ha originally existed, however, agricultural practices in the region have resulted in the functional loss of many of these playas from and by 1983 only 10% of the wetlands and 22% of the area remained [<xref ref-type="bibr" rid="scirp.90786-ref36">36</xref>]. As an area identified by the U.S Fish and Wildlife Service as one of the nine areas of critical concern for wetland loss, conservation programs specifically designed for wetland restoration are of critical importance to the RWB. Thus, over 2600 ha of playa wetlands in this region have been restored by WRP easements (N. Walker pers. comm., 2015).</p></sec><sec id="s3"><title>3. Methods</title><p>GHG emissions were monitored on 42 wetlands in the High Plains; 27 wetlands in the RWB and 15 wetlands in the WHP region. Wetlands included in the RWB were evenly split among reference, WRP restored, and cropland watersheds and the WHP playas were split among native grassland, CRP, and cropland watersheds. Wetland sites were selected at random from RWB Joint Venture (RWBJV) GIS layers (www.rwbjv.org). For the purpose of this study, reference wetlands represent reference standard sites that are determined to be the least altered and most closely resemble historic levels of functioning [<xref ref-type="bibr" rid="scirp.90786-ref32">32</xref>]. Reference playas in the RWB were selected from a list of playas that had been classified as such by Nebraska Games and Parks Commission (NGPC) personnel. Their suitability as reference playas was based on four criteria: 1) very negligible to no hydrologic modifications, 2) a natural vegetative community with little to no invasive or problematic species of plants, 3) a watershed that is unaffected by physical alterations that would prevent runoff from reaching the basin, and 4) the correct water regime for the hydric soils present.</p><p>GHG emissions from each wetland were sampled between 10:00 and 14:00 every two weeks from April 1-October 31 during 2012 and 2013. Samples were collected using the static chamber method [<xref ref-type="bibr" rid="scirp.90786-ref37">37</xref>] following the methods of [<xref ref-type="bibr" rid="scirp.90786-ref38">38</xref>] and [<xref ref-type="bibr" rid="scirp.90786-ref39">39</xref>]. Collection chambers consisted of a polyvinyl chloride chamber lid (20 cm diameter, 20 cm height, 314.16 cm<sup>2</sup>) with a pressure vent and septa for syringe sampling. Chamber lids were sealed to chamber bases that were secured to the soil surface. Each base was situated 5 cm into the soil for the duration of the study. When water levels were &gt;5 cm, chamber lids were attached to floating bases and positioned above the original base on the water surface. Any vegetation within chamber bases remained throughout the duration of the study and chambers with vegetation that exceeded the height of the chamber lid were fitted with chamber extensions. To account for variations in emissions across environmental gradients, a static chamber was established and sampled from at four separate landscape positions at each wetland/upland site; 1) wetland center, 2) mid-distance between wetland center and wetland edge, 3) wetland edge, and 4) upland slope [<xref ref-type="bibr" rid="scirp.90786-ref38">38</xref>].</p><p>A gas volume of 50mL was drawn from each collection chamber after a 30-minute accumulation period determined to be sufficient based on previous studies [<xref ref-type="bibr" rid="scirp.90786-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref40">40</xref>]. The collected gas was transferred and stored over-pressurized in 10 ml pre-evacuated (&lt;10 torr) crimp top serum bottles fitted with gas-impermeable septa.</p><p>Gases were analyzed within one week of collection using a SRI Model 8610 gas chromatograph (SRI Instruments, Torrance, CA, USA) equipped with electron capture (ECD) and flame-ionization (FID) detectors and two 10-port valves to measure N<sub>2</sub>O, CH<sub>4</sub>, and CO<sub>2</sub> with a single injection of sample [<xref ref-type="bibr" rid="scirp.90786-ref38">38</xref>]. The instrument configuration and operating conditions (modified from [<xref ref-type="bibr" rid="scirp.90786-ref41">41</xref>] ) provided minimum detection levels of &lt;3 ppbv N<sub>2</sub>O (ECD), &lt;10 ppbv CH<sub>4</sub> (FID), and &lt;1 ppmv CO<sub>2</sub> (FID). Emissions values (g∙ha<sup>−1</sup>∙day<sup>−1</sup>) for CO<sub>2</sub> and N<sub>2</sub>O and flux values for CH<sub>4</sub> and were calculated for each collection chamber on each sample date using methods described by [<xref ref-type="bibr" rid="scirp.90786-ref42">42</xref>]. Two ambient air samples were also collected at each wetland location during each sampling event and analyzed along with the emissions samples to provide baseline measurements. The average ambient air concentrations were subtracted from the emissions sample concentrations to determine actual emission concentration. To determine the impact of differing land use types on net radiative forcing, N<sub>2</sub>O and CH<sub>4</sub> emissions were standardized into CO<sub>2</sub> equivalents using the Global Warming Potential (GWP) metric over a 100-year time horizon (N<sub>2</sub>O = 296, CH<sub>4</sub> = 23; [<xref ref-type="bibr" rid="scirp.90786-ref43">43</xref>] ).</p><p>Rates of GHG emissions from wetlands depend on multiple interacting factors including land use practice, temperature, water level, and plant properties that influence quantity and quality of organic matter [<xref ref-type="bibr" rid="scirp.90786-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref45">45</xref>]. To better understand the underlying differences in processes driving GHG fluxes in playas and uplands among land use types, we also collected soil moisture, soil temperature, aboveground plant biomass, and plant species richness data at each site. Soil temperature and volumetric water content were measured at each chamber base location during every sampling event using a thermometer and Field Scout 300 TDR soil moisture meter (Spectrum Technologies, Aurora, IL, USA). To determine potential influence of plant communities within and among land use types, we used step-point surveys to estimate plant cover [<xref ref-type="bibr" rid="scirp.90786-ref46">46</xref>] in playas and watersheds during the 2013 sampling season. Transects extended from wetland edge to wetland edge and 100 m into the upland on both sides. Plant surveys were conducted in May and in August to account for cool to warm plant species turnover [<xref ref-type="bibr" rid="scirp.90786-ref25">25</xref>]. At peak growing season (June-July), aboveground biomass was collected from a 50 cm &#215; 50 cm quadrat [<xref ref-type="bibr" rid="scirp.90786-ref47">47</xref>] at each landscape position corresponding to each chamber base location. Quadrats were clipped away from the chamber base as to not affect future sampling events. Clipped biomass was dried at 65˚C until a constant weight was achieved [<xref ref-type="bibr" rid="scirp.90786-ref47">47</xref>].</p></sec><sec id="s4"><title>4. Statistical Analyses</title><p>A general linear mixed model (PROC GLIMMIX; SAS 9.4) was used to assess the factors important in influencing GHG emissions (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O, and net CO<sub>2-equiv</sub> emissions) from playa wetlands and adjacent uplands in the RWB and WHP. Fixed effects included land use type (reference, cropland, WRP in the RWB; native grassland, cropland, CRP in the WHP), landscape position (wetland edge, wetland center, half the distance between edge/center), sampling period, year, land use type * landscape position interaction, and land use type * year interaction for playa wetlands (α = 0.1). For adjacent uplands, landscape position fixed effects were not included because uplands were only sampled at a single point. Repeated measures were taken on each experimental unit (individual sampling points at each wetland/adjacent upland site) resulting in a maximum of 28 observations (bi-weekly sampling periods) within 108 subjects in the RWB and 60 subjects in the WHP. A Gaussian distribution model (identity link function) was selected and restricted maximum likelihood approximations were used to estimate model parameters. Residual denominator degrees of freedom were used and fixed effect standard errors were adjusted using a sandwich estimator. Tukey-Kramer multiple comparison tests on adjusted least square means were performed to determine differences among fixed effect means. Margins for least square means were adjusted to be proportional to the observed margins within each level of fixed effects.</p><p>Soil moisture and soil temperature were also analyzed as dependent variables to determine differences across fixed effects using the same model as described above. Aboveground plant biomass and plant species richness were not included in these analyses because data were only collected during the 2013 sampling season and did not include repeat measures on experimental units.</p><p>Separate one-way analyses of variance (PROC GLM; SAS 9.4) were used to assess the effects of land use on plant species richness and aboveground biomass in playas/uplands in the RWB and WHP in 2013. A protected Duncan’s multiple range test was used to assess specific treatment differences (α = 0.05).</p><p>Due to site selection constraints, some cropland playas in the RWB were clustered at two locations. In order to remove potential sample bias related to proximity, models were analyzed a second time with one playa removed from each clustered location. Raw data were examined for outlying gas values orders of magnitude above other measurements within a sampling period. Each gas value was examined along with corresponding site specific field data to determine validity of the measurement. Rather than removing an entire sample site from the data, gas specific extreme values that could not be explained by corresponding field data were removed individually, thus leaving the remaining gas species for analysis. A total of 6CO<sub>2</sub> and 5CH<sub>4</sub> extreme values could not be explained by corresponding field data and were removed from wetland measurements (RWB = 1CO<sub>2</sub>, WHP = 5CO<sub>2</sub> and 5CH<sub>4</sub>) and 10CH<sub>4</sub> extreme values were removed from upland measurements (RWB = 5CH<sub>4</sub>, WHP = 5CH<sub>4</sub>).</p></sec><sec id="s5"><title>5. Results</title><p>All statistical analyses result tables as well as seasonal net C emissions figures are provided in supporting information section.</p><sec id="s5_1"><title>5.1. Rainwater Basin Wetlands</title><p>Removing the two clustered cropland playas from the analyses did not influence statistical significance at α = 0.1, therefore results are presented for the model including all sample sites in the RWB.</p><p>There were no interactions among fixed effects for any GHG emissions in RWB playas. There was seasonal variation in all GHG emissions with the bulk of emissions occurring during peak growing season. Emissions of CO<sub>2</sub> differed among land use types but not by landscape position or by year. Cropland playas emitted 28% more CO<sub>2</sub> than WRP playas; reference playas did not differ from either cropland or WRP playas (<xref ref-type="table" rid="table1">Table 1</xref>). Methane fluxes differed among landscape positions but did not differ by land use type or by year. As expected, CH<sub>4</sub> emissions were highest in the wetland center and decreased at each landscape position moving outward to the wetland edge (<xref ref-type="table" rid="table2">Table 2</xref>). Emissions of N<sub>2</sub>O did not differ among land use types, landscape positions or by year. Net emissions differed among land use types and landscape positions but not by year. Cropland playas emitted 53% more CO<sub>2-equiv</sub> than WRP playas; reference playas did not differ from either cropland or WRP playas (<xref ref-type="fig" rid="fig1">Figure 1</xref>(a)). The bulk of emissions occurred at the center of the wetland which differed from both the wetland edge and 1/2 distance between center and edge, which did not differ from one another.</p><p>There were no interactions among fixed effects for soil moisture and soil temperature in RWB playas. Seasonal variation existed for soil moisture which</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Mean (&#177;SE) for CO<sub>2</sub>-equiv C emissions (g∙ha<sup>−1</sup>∙day<sup>−1</sup>) of greenhouse gases in rainwater basin and western high plains playas and uplands. data are pooled by land use type</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  ></th><th align="center" valign="middle"  colspan="6"  >Rainwater Basin</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >2012</td><td align="center" valign="middle"  colspan="3"  >2013</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub>-C</td><td align="center" valign="middle" >CH<sub>4</sub>-C</td><td align="center" valign="middle" >N<sub>2</sub>O-C</td><td align="center" valign="middle" >CO<sub>2</sub>-C</td><td align="center" valign="middle" >CH<sub>4</sub>-C</td><td align="center" valign="middle" >N<sub>2</sub>O-C</td></tr><tr><td align="center" valign="middle" >Playa</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >45,031 (3019)</td><td align="center" valign="middle" >32,738 (7992)</td><td align="center" valign="middle" >1062 (241)</td><td align="center" valign="middle" >44,266 (2671)</td><td align="center" valign="middle" >23,986 (9309)</td><td align="center" valign="middle" >1385 (423)</td></tr><tr><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" >41,272 (4105)</td><td align="center" valign="middle" >34,231 (13,141)</td><td align="center" valign="middle" >1313 (388)</td><td align="center" valign="middle" >36,974 (2402)</td><td align="center" valign="middle" >24,960 (8066)</td><td align="center" valign="middle" >1285 (347)</td></tr><tr><td align="center" valign="middle" >WRP</td><td align="center" valign="middle" >36,284 (4302)</td><td align="center" valign="middle" >17,107 (10,885)</td><td align="center" valign="middle" >1006 (393)</td><td align="center" valign="middle" >33,774 (2880)</td><td align="center" valign="middle" >7664 (2722)</td><td align="center" valign="middle" >1365 (509)</td></tr><tr><td align="center" valign="middle" >Upland</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >43,958 (5879)</td><td align="center" valign="middle" >58.6 (40.1)</td><td align="center" valign="middle" >3652 (1109)</td><td align="center" valign="middle" >45,212 (6040)</td><td align="center" valign="middle" >254.0 (187)</td><td align="center" valign="middle" >6796 (1910)</td></tr><tr><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" >42,885 (5314)</td><td align="center" valign="middle" >21.4 (14.7)</td><td align="center" valign="middle" >228 (140.9)</td><td align="center" valign="middle" >46,010 (6871)</td><td align="center" valign="middle" >1611.8 (1452.8)</td><td align="center" valign="middle" >1166 (572)</td></tr><tr><td align="center" valign="middle" >WRP</td><td align="center" valign="middle" >42,138 (4527)</td><td align="center" valign="middle" >−2.6 (11.4)</td><td align="center" valign="middle" >421 (81.4)</td><td align="center" valign="middle" >45,739 (4506)</td><td align="center" valign="middle" >21.7 (17.6)</td><td align="center" valign="middle" >985 (660.9)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="6"  >Western High Plains</td></tr><tr><td align="center" valign="middle" >Playa</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >26,366 (1897)</td><td align="center" valign="middle" >−4.2 (1003.0)</td><td align="center" valign="middle" >327 (71)</td><td align="center" valign="middle" >28,470 (2912)</td><td align="center" valign="middle" >14,172.0 (5015.0)</td><td align="center" valign="middle" >572 (150)</td></tr><tr><td align="center" valign="middle" >Grassland</td><td align="center" valign="middle" >24,377 (1994)</td><td align="center" valign="middle" >1641.2 (942.3)</td><td align="center" valign="middle" >1019 (445)</td><td align="center" valign="middle" >27,010 (3389)</td><td align="center" valign="middle" >7053.0 (3388.3)</td><td align="center" valign="middle" >411 (94)</td></tr><tr><td align="center" valign="middle" >CRP</td><td align="center" valign="middle" >34,561 (4004)</td><td align="center" valign="middle" >−8.5 (49.0)</td><td align="center" valign="middle" >205 (27)</td><td align="center" valign="middle" >24,374 (2535)</td><td align="center" valign="middle" >288.3 (285.2)</td><td align="center" valign="middle" >315 (61)</td></tr><tr><td align="center" valign="middle" >Upland</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >24,119 (2957)</td><td align="center" valign="middle" >1.6 (8.5)</td><td align="center" valign="middle" >202 (33)</td><td align="center" valign="middle" >27,093 (4453)</td><td align="center" valign="middle" >4.1 (12.6)</td><td align="center" valign="middle" >407 (240)</td></tr><tr><td align="center" valign="middle" >Grassland</td><td align="center" valign="middle" >27,578 (3082)</td><td align="center" valign="middle" >−5.3 (2.8)</td><td align="center" valign="middle" >165 (69)</td><td align="center" valign="middle" >37,954 (3407)</td><td align="center" valign="middle" >−49.6 (6.4)</td><td align="center" valign="middle" >437 (153)</td></tr><tr><td align="center" valign="middle" >CRP</td><td align="center" valign="middle" >28,470 (4862)</td><td align="center" valign="middle" >−21.5 (10.0)</td><td align="center" valign="middle" >182 (75)</td><td align="center" valign="middle" >30,582 (1154)</td><td align="center" valign="middle" >−4.7 (8.2)</td><td align="center" valign="middle" >190 (61)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean (&#177;SE) for CO<sub>2</sub>-equiv C emissions (g∙ha<sup>−1</sup>∙day<sup>−1</sup>) of greenhouse gases in Rainwater Basin and Western High Plains playas and uplands. Data are pooled by landscape position (1) wetland center, (2) between wetland center/wetland edge, (3) wetland edge, (4) upland</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Rainwater Basin</th></tr></thead><tr><td align="center" valign="middle" >CO<sub>2</sub>-C</td><td align="center" valign="middle" >CH<sub>4</sub>-C</td><td align="center" valign="middle" >N<sub>2</sub>O-C</td></tr><tr><td align="center" valign="middle" >Landscape Position</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >40,127 (2271)</td><td align="center" valign="middle" >49,072 (10,878)</td><td align="center" valign="middle" >1583 (371)</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >36,760 (2770)</td><td align="center" valign="middle" >17,861 (4394)</td><td align="center" valign="middle" >1030 (265)</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >41,952 (2121)</td><td align="center" valign="middle" >3377 (1393)</td><td align="center" valign="middle" >1097 (313)</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >44,323 (3223)</td><td align="center" valign="middle" >328 (252)</td><td align="center" valign="middle" >2210 (537)</td></tr><tr><td align="center" valign="middle" >Western High Plains</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >24,849 (1960)</td><td align="center" valign="middle" >6140 (2151)</td><td align="center" valign="middle" >510 (94)</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >27,182 (2108)</td><td align="center" valign="middle" >4958 (2298)</td><td align="center" valign="middle" >561 (198)</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >30,903 (2327)</td><td align="center" valign="middle" >756 (456)</td><td align="center" valign="middle" >367 (50)</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >29,546 (2095)</td><td align="center" valign="middle" >−13.5 (4.9)</td><td align="center" valign="middle" >264 (66)</td></tr></tbody></table></table-wrap><p>was generally highest early in the season, coinciding with snow melt and spring rains. Soil moisture also differed among land use types, landscape positions, and by year. Playas in WRP had 19% lower soil moisture than cropland and reference playas, which did not differ (<xref ref-type="table" rid="table3">Table 3</xref>). Soil moisture was also lower at the wetland edge than at either point in the wetland basin; wetland basin landscape positions (positions 1 and 2) did not differ from one another. Finally, there was an 8% increase in soil moisture in 2013 compared to 2012. There was seasonal variation in soil temperature which was obviously highest during summer. Soil temperature also differed among land use types and by year but not among landscape positions. Playas in the WRP were approximately 1.4˚C warmer than reference and cropland playas, which did not differ from one another (<xref ref-type="table" rid="table3">Table 3</xref>). Also, playa soils were approximately 1.6˚C warmer in 2012 than in 2013.</p><p>Plant species richness did not differ among land uses in playas in 2013, however aboveground biomass did. Cropland playas had 30% more aboveground biomass than reference condition playas and 63% more than playas in WRP; reference condition playas had 35% more aboveground biomass than playas in WRP (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Mean (&#177;SE) soil moisture and soil temperature (April through October), aboveground plant biomass (single measurement), and plant species richness (early and late season) in Rainwater Basin and Western High Plains playas and uplands</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="4"  >Rainwater Basin</th></tr></thead><tr><td align="center" valign="middle" >Moisture (%VWC)</td><td align="center" valign="middle" >Temperature (˚C)</td><td align="center" valign="middle" >Biomass (g/m<sup>2</sup>)</td><td align="center" valign="middle" >Richness</td></tr><tr><td align="center" valign="middle" >Playa</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >47.5 (2.0)</td><td align="center" valign="middle" >17.2 (0.1)</td><td align="center" valign="middle" >835 (66)</td><td align="center" valign="middle" >14 (2.2)</td></tr><tr><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" >49.5 (2.4)</td><td align="center" valign="middle" >17.7 (0.2)</td><td align="center" valign="middle" >617 (45)</td><td align="center" valign="middle" >20 (2.5)</td></tr><tr><td align="center" valign="middle" >WRP</td><td align="center" valign="middle" >40.3 (1.7)</td><td align="center" valign="middle" >18.9 (0.2)</td><td align="center" valign="middle" >431 (40)</td><td align="center" valign="middle" >19 (1.9)</td></tr><tr><td align="center" valign="middle" >Upland</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >31.0 (2.4)</td><td align="center" valign="middle" >18.2 (0.3)</td><td align="center" valign="middle" >513 (77)</td><td align="center" valign="middle" >8 (0.7)</td></tr><tr><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" >26.1 (1.4)</td><td align="center" valign="middle" >18.2 (0.3)</td><td align="center" valign="middle" >601 (73)</td><td align="center" valign="middle" >14 (1.4)</td></tr><tr><td align="center" valign="middle" >WRP</td><td align="center" valign="middle" >23.2 (1.4)</td><td align="center" valign="middle" >19.1 (0.2)</td><td align="center" valign="middle" >583 (76)</td><td align="center" valign="middle" >12 (1.5)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >Western High Plains</td></tr><tr><td align="center" valign="middle" >Playa</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >27.8 (1.8)</td><td align="center" valign="middle" >18.4 (0.2)</td><td align="center" valign="middle" >375 (68)</td><td align="center" valign="middle" >9 (2.3)</td></tr><tr><td align="center" valign="middle" >Grassland</td><td align="center" valign="middle" >28.6 (2.5)</td><td align="center" valign="middle" >18.3 (0.2)</td><td align="center" valign="middle" >298 (96)</td><td align="center" valign="middle" >12 (1.4)</td></tr><tr><td align="center" valign="middle" >CRP</td><td align="center" valign="middle" >21.0 (0.5)</td><td align="center" valign="middle" >17.6 (0.2)</td><td align="center" valign="middle" >582 (79)</td><td align="center" valign="middle" >13 (1.2)</td></tr><tr><td align="center" valign="middle" >Upland</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cropland</td><td align="center" valign="middle" >15.2 (1.0)</td><td align="center" valign="middle" >19.1 (0.3)</td><td align="center" valign="middle" >453 (255)</td><td align="center" valign="middle" >6 (1.8)</td></tr><tr><td align="center" valign="middle" >Grassland</td><td align="center" valign="middle" >12.9 (1.4)</td><td align="center" valign="middle" >19.5 (0.2)</td><td align="center" valign="middle" >299 (45)</td><td align="center" valign="middle" >16 (2.0)</td></tr><tr><td align="center" valign="middle" >CRP</td><td align="center" valign="middle" >11.7 (1.2)</td><td align="center" valign="middle" >20.2 (1.6)</td><td align="center" valign="middle" >724 (214)</td><td align="center" valign="middle" >11 (1.1)</td></tr></tbody></table></table-wrap></sec><sec id="s5_2"><title>5.2. Rainwater Basin Uplands</title><p>There was no land use * year interaction for any GHG emissions in RWB uplands. There was seasonal variation in all GHG emissions with the bulk of emissions occurring during peak growing season. Emissions of CO<sub>2</sub> and CH<sub>4</sub> did not differ among land use types or by year. Emissions of N<sub>2</sub>O differed among land use type and by year. Cropland uplands emitted 648% more N<sub>2</sub>O than WRP and reference uplands (<xref ref-type="table" rid="table1">Table 1</xref>). In addition, twice as much N<sub>2</sub>O was emitted in 2013 than 2012. Overall, net CO<sub>2-equiv</sub> emissions did not differ among land use types or by year (<xref ref-type="fig" rid="fig1">Figure 1</xref>(b)).</p><p>There was no land use * year interaction for soil moisture or soil temperature in RWB uplands. Soil moisture differed among land use types and by year. Cropland uplands were 34% more moist than WRP uplands; soil moisture in reference uplands did not differ from cropland or WRP uplands (<xref ref-type="table" rid="table3">Table 3</xref>). Similar to wetlands, RWB uplands were 14% more moist in 2013 than 2012. Soil temperature differed among land use types with WRP uplands averaging 1.1˚C warmer than cropland and reference uplands, which did not differ (<xref ref-type="table" rid="table3">Table 3</xref>). In 2012, soils averaged 1.6˚C warmer than in 2013.</p><p>In 2013, plant species richness differed among land uses in adjacent uplands. As expected, upland croplands contained half as many plant species as reference condition and WRP uplands, which did not differ from one another. Aboveground biomass was similar among land uses (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s5_3"><title>5.3. Western High Plains Wetlands</title><p>There was a land use type * year interaction for playa CO<sub>2</sub> emissions. Emissions of CO<sub>2</sub> did not differ within land use types between years for cropland and grassland playas but in CRP playas it was 29% lower in 2013 than 2012 (<xref ref-type="table" rid="table1">Table 1</xref>). Emissions of CO<sub>2</sub> did not differ among landscape positions. Fluxes in CH<sub>4</sub> differed by land use type * landscape position and land use type * year interactions. Wetland center contributed most to CH<sub>4</sub> emissions but only differed from wetland edge, except in CRP playas, where CH<sub>4</sub> emissions were negligible throughout the wetland (<xref ref-type="table" rid="table2">Table 2</xref>). Wetland edge and &#189; distance between center and edge did not differ. There were no differences among land use types in 2012, however, in 2013, cropland and grassland playas emitted 46 and 23 times more CH<sub>4</sub>, respectively, than playas in CRP (<xref ref-type="table" rid="table1">Table 1</xref>). Only cropland playas differed between years, changing from a small sink for CH<sub>4</sub> in 2012 to the greatest contributor of CH<sub>4</sub> emissions among land uses in 2013. There were no interactions among fixed effects for playa N<sub>2</sub>O emissions. Emissions of N<sub>2</sub>O differed among land use types but not among landscape positions or by year. Playas in CRP emitted 43% less N<sub>2</sub>O than cropland playas; grassland playas did not differ from either cropland or CRP playas (<xref ref-type="table" rid="table1">Table 1</xref>). Net emissions did not differ among landscape positions but did have a land use * year interaction. There were no differences among land use types in 2012, however, in 2013, cropland and grassland playas emitted 75% and 39% more CO<sub>2-equiv</sub>, respectively, than playas in CRP (<xref ref-type="table" rid="table1">Table 1</xref>). Cropland and CRP playas differed among years. Cropland playa CO<sub>2-equiv</sub> emissions increased 64% from 2012 to 2013 while emissions from playas in CRP decreased 28% from 2012 to 2013 (<xref ref-type="table" rid="table1">Table 1</xref>; <xref ref-type="fig" rid="fig1">Figure 1</xref>(c)). Seasonal variation existed for all GHG emissions with the bulk of emissions occurring during peak growing season.</p><p>Soil moisture differed among landscape positions and had a land use * year interaction. As expected, the wetland edge was 42% and 30% less moist than the wetland center and 1/2 distance between center and edge positions, respectively. In 2012, grassland playas had about 60% greater soil moisture than CRP and cropland playas. However, in 2013, cropland playas were 73% more moist than CRP playas; grassland playas did not differ from either cropland or CRP playas. Soil moisture in playas differed seasonally and generally declined throughout the season. Soil temperature was similar among landscape positions but had a land use * year interaction. In 2012, soil temperatures in cropland and grassland playas were 1.6˚C warmer than CRP soils. There were no differences in soil temperature among land uses in 2013. Cropland and grassland playa soils were about 0.9˚C warmer in 2012 than in 2013; soil temperatures in CRP playas did not differ between years. There was also seasonal variation in soil temperature which was highest during the summer.</p><p>Plant species richness did not differ among land uses in playas in 2013. Also, aboveground biomass did not differ among land use types in the model, however, land use type differences were evident in the Multiple Range Test. Playas in CRP had 64% greater aboveground biomass than native grassland playas; aboveground biomass in cropland playas were also 23% greater than native grassland playas but did not differ significantly from either land use type (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s5_4"><title>5.4. Western High Plains Uplands</title><p>There was no land use * year interaction for CO<sub>2</sub> emissions in uplands. Emissions of CO<sub>2</sub> did not differ among land use types or by year. There was a significant land use type * year interaction for CH<sub>4</sub> flux. There were no differences in CH<sub>4</sub> flux among land use types in 2012. However, in 2013, grassland uplands were a significantly stronger sink for atmospheric CH<sub>4</sub> than cropland or CRP uplands, which did not differ from one another (<xref ref-type="table" rid="table1">Table 1</xref>). Only grassland uplands differed between years having CH<sub>4</sub> sink strength on average 10 times greater in 2013 than in 2012. There was no land use * year interaction for N<sub>2</sub>O emissions in uplands. Upland N<sub>2</sub>O production did not differ among land use types or by year. There was also no land use * year interaction for net emissions in uplands. Net CO<sub>2-equiv</sub> emissions did not differ among land use type or by year (<xref ref-type="fig" rid="fig1">Figure 1</xref>(d)). Seasonal variation existed for all GHG emissions with the bulk occurring during peak growing season.</p><p>There was a land use type * year interaction for upland soil moisture. There were no land use type differences among uplands for either year but cropland uplands were 71% more moist in 2013 than in 2012; CRP and grassland uplands did not differ between years. There was no land use type * year interaction for upland soil temperature. There were no differences in upland soil temperature among land use types or between years (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>In 2013, plant species richness differed among land uses in adjacent uplands. On average, upland native grasslands contained nearly 3 times as many plant species as croplands; uplands in CRP did not differ significantly from native grasslands or croplands (<xref ref-type="table" rid="table3">Table 3</xref>). Although there was not statistical significance, aboveground biomass in CRP uplands was nearly twice as high as cropland and native grassland uplands (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec></sec><sec id="s6"><title>6. Discussion</title><sec id="s6_1"><title>6.1. Emissions in Rainwater Basin Playas/Uplands</title><p>Ecosystem restoration has been recognized in international climate policy frameworks as a possible mechanism to mitigate climate change [<xref ref-type="bibr" rid="scirp.90786-ref48">48</xref>]. Conservation programs and practices are widely implemented throughout the High Plains of the U.S., and with an understanding of their influence on GHG flux in the region, better-informed conservation strategies can be utilized with consideration to climate mitigation. The focus of this study was on GHG emissions from playas and watersheds, which compliments earlier studies of carbon storage dynamics throughout playas and watersheds in the High Plains [<xref ref-type="bibr" rid="scirp.90786-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref50">50</xref>].</p><p>In playas and their watersheds, CO<sub>2</sub> was the greatest contributor to net emissions and because opaque collection chambers were used, samples included aboveground plant respiration as well as soil respiration. Increased deposits of upland soils and higher nutrient loads from upland runoff encourage establishment of productive, monotypic stands of vegetation that outcompete many native wetland plant species [<xref ref-type="bibr" rid="scirp.90786-ref51">51</xref>]. Inherently invasive plants such as Typha angustifolia (Narrowleaf Cattail) and Scirpus fluviatilis (River Bulrush) flourish under higher nutrient concentrations and produce a substantial amount of root exudates which can be an important contribution to soil C [<xref ref-type="bibr" rid="scirp.90786-ref52">52</xref>] and consequently higher CO<sub>2</sub> output. [<xref ref-type="bibr" rid="scirp.90786-ref53">53</xref>] documented changes in plant community composition in playas in the RWB upon restoration of former cropland and found that playas in active cropland were associated with three species of management concern; T. angustifolia, S. fluviatilis, and Phalaris arundinacea (Reed Canarygrass). The high productivity of these invasive species is likely an important factor in the higher overall CO<sub>2</sub> emissions from cropland playas.</p><p>Methane emissions were variable within and among playas which may be due, in part, to random ebullition events in saturated soils beneath collection chambers [<xref ref-type="bibr" rid="scirp.90786-ref54">54</xref>]. Emergent vegetation within chambers may also provide a route for CH<sub>4</sub> transport into the atmosphere. Transport of CH<sub>4</sub> through plant tissues has been documented in multiple studies [<xref ref-type="bibr" rid="scirp.90786-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref56">56</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref57">57</xref>] and is considered an important component in C cycling between wetlands and the atmosphere [<xref ref-type="bibr" rid="scirp.90786-ref58">58</xref>]. However, emergent vegetation may also provide an aerobic rhizosphere near the soil surface and CH<sub>4</sub> produced in deeper soil layers may be converted back into CO<sub>2</sub> by methanotrophs [<xref ref-type="bibr" rid="scirp.90786-ref59">59</xref>]. Although they were not statistically different, playas restored through the WRP emitted half as much CH<sub>4</sub>, on average (error bars did not overlap), than reference condition or cropland playas which contributed to WRP having the lowest net C emissions.</p><p>Playas in WRP were drier and warmer than playas in other land uses which may be a factor in their lower overall net C emissions. Indeed, some reference condition and cropland playas received water from non-natural sources including, wetland irrigation runoff, whereas no WRP playas received supplemental water. Warmer soil temperatures in WRP playas could also be due to lower plant cover which could have increased surface evaporation rates, consequently lowering soil moisture. Sediment removal from playa basins in WRP may also result in topsoils with a lower water holding capacity due to compaction from heavy equipment and removal of lower bulk density soil organic matter overlying the high density clay pan (Bt layer) beneath playas [<xref ref-type="bibr" rid="scirp.90786-ref50">50</xref>].</p><p>Soil N<sub>2</sub>O emissions are regulated by microbial nitrification/denitrification processes and in wetlands such as playas with erratic hydroperiods, N<sub>2</sub>O emissions can be higher because wetland soils are not typically completely anoxic [<xref ref-type="bibr" rid="scirp.90786-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref60">60</xref>]. Playas restored through the WRP had similar N<sub>2</sub>O emissions compared to cropland and reference condition playas, suggesting playa restoration may not increase N<sub>2</sub>O emissions. Lower aboveground plant detrital inputs due to vegetation management practices such as discing, grazing, burning, and herbicide application may limit N<sub>2</sub>O emissions in WRP playas by limiting the amount of available NO<sub>3</sub> for denitrification. Removing sediments as a restoration practice in WRP playas can also remove excess N from the basin that would otherwise be available for denitrification. Indeed, [<xref ref-type="bibr" rid="scirp.90786-ref50">50</xref>] found that playas restored through sediment removal practices had lower soil N levels in the top 5 cm than reference condition and cropland playas.</p><p>Because there are likely lower levels of microbially available N in WRP playa soils due to sediment removal, the similarity in playa N<sub>2</sub>O emissions among land uses may indicate changes in microbial community structure and biogeochemical functioning in WRP playas. Other studies have found land use changes and restoration activities may alter microbial communities [<xref ref-type="bibr" rid="scirp.90786-ref61">61</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref62">62</xref>]. [<xref ref-type="bibr" rid="scirp.90786-ref63">63</xref>] found that N<sub>2</sub>O emissions increased with plant species richness in wetland microcosms and plant diversity is often considered to be an important factor in soil microbial diversity [<xref ref-type="bibr" rid="scirp.90786-ref64">64</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref65">65</xref>]. Although plant species richness did not differ among land use types in this study, [<xref ref-type="bibr" rid="scirp.90786-ref53">53</xref>] found that plant species richness in WRP playas was higher when sediment had been removed from basins.</p><p>Agricultural soil management activities such as fertilizer application and other cropping practices contribute 69% to U.S. N<sub>2</sub>O emissions [<xref ref-type="bibr" rid="scirp.90786-ref17">17</xref>]. Croplands in the RWB receive fertilizer amendments to increase crop yields and in our study, all cropland uplands were irrigated. Excess soil N and moist soil conditions in cropland uplands made them the highest contributor to N<sub>2</sub>O emissions, producing on average 648% more N<sub>2</sub>O than reference condition and WRP uplands and about 450% more than playas.</p></sec><sec id="s6_2"><title>6.2. Emissions in Western High Plains Playas/Uplands</title><p>Playas embedded in CRP in the WHP have 18% higher levels of C in the top 50 cm of soil than playas in cropland [<xref ref-type="bibr" rid="scirp.90786-ref49">49</xref>]. In our study, playas and uplands in CRP had higher aboveground biomass than playas and uplands in other land uses. However, CO<sub>2</sub> emissions from playas and uplands did not differ among land uses, likely due to microbial respiration being limited by soil moisture, especially in 2012. [<xref ref-type="bibr" rid="scirp.90786-ref54">54</xref>] found that microbial activity was inhibited when soil moisture fell below 20% VWC. On average, soil moisture in 2012 was 23% VWC in playas and 11% VWC in adjacent uplands. In 2013, rainfall totals were similar to historic averages and likely a major contributor to higher CH<sub>4</sub> and N<sub>2</sub>O emissions in cropland and native grassland playas. Due to dense, exotic vegetation associated with CRP, playas embedded in CRP receive less water runoff and are inundated less frequently than playas in other land uses [<xref ref-type="bibr" rid="scirp.90786-ref26">26</xref>] , leading them to be smaller contributors to CH<sub>4</sub> emissions in 2013. Emissions of N<sub>2</sub>O were also lower in CRP playas due to less frequent flooding, however, N<sub>2</sub>O did not differ among land uses in uplands as they did in the RWB. In this study, only one cropland site was influenced by irrigation in the WHP; in the RWB all cropland sites were irrigated.</p><p>Native grassland uplands were the greatest atmospheric sink for CH<sub>4</sub> which is consistent with other studies highlighting the importance of grassland ecosystems in CH<sub>4</sub> oxidation [<xref ref-type="bibr" rid="scirp.90786-ref66">66</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref67">67</xref>]. [<xref ref-type="bibr" rid="scirp.90786-ref68">68</xref>] found that microbial oxidation of CH<sub>4</sub> tended to be slightly higher with higher plant species diversity. Upland native grasslands had higher plant species richness than croplands which may promote CH<sub>4</sub> oxidation in native grassland soils in the WHP.</p></sec><sec id="s6_3"><title>6.3. Regional Differences</title><p>Our study builds on previous investigations on GHG fluxes from cropland and restored wetlands in the Prairie Pothole Region, PPR [<xref ref-type="bibr" rid="scirp.90786-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref40">40</xref>]. Within the Wetland Continuum Concept, ecological processes including those associated with GHG emissions, are driven by hydrogeomorphology and climate [<xref ref-type="bibr" rid="scirp.90786-ref69">69</xref>]. Because wetlands evaluated in [<xref ref-type="bibr" rid="scirp.90786-ref38">38</xref>] are likely similar to playas in basin morphology and water budget, differences in GHG emissions among these Great Plains regions may be primarily due to climate. Emissions of CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O were higher, on average, in RWB playas compared to PPR wetlands. It is likely that higher daily soil temperatures and extended growing seasons contributed to net emissions in RWB playas which were 34% higher than in PPR wetlands. However, wetlands in comparatively lower latitudes than the PPR, such as the RWB, also have higher evapotranspiration rates and regions receiving less annual rainfall such as the WHP, warmer soils may not lead to higher GHG emissions due to soil moisture restrictions. Emissions from WHP playas were about 33% and 50% lower than PPR and RWB wetlands, respectively. Other localized factors including soils, floral/faunal composition, and management practices could also have contributed to regional differences in emissions.</p></sec><sec id="s6_4"><title>6.4. Conservation Implications</title><p>Although wetlands continue to be degraded and an estimated 50% of all wetlands have been lost worldwide, the services afforded by these ecosystems are highly valued [<xref ref-type="bibr" rid="scirp.90786-ref70">70</xref>]. Wetland restoration efforts and “no net loss” policy goals are in place to prevent further wetland loss and restore ecosystem services in the U.S. However, in some cases, such efforts may have a negative influence on climate [<xref ref-type="bibr" rid="scirp.90786-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref16">16</xref>].</p><p>In the RWB, wetland restorations through the WRP have restored about 2600 ha of wetlands and uplands in a region that has lost 90% of its historic wetland area [<xref ref-type="bibr" rid="scirp.90786-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref71">71</xref>]. A primary goal for wetland restoration in the RWB is to provide adequate forage habitat for migrating waterfowl [<xref ref-type="bibr" rid="scirp.90786-ref72">72</xref>]. Managing vegetation in playas in WRP to prevent dense perennials such as T. angustifolia, S. fluviatilis, and P. arundinacea through discing, grazing, burning, and herbicide application likely limits the spread of these invasives resulting in lower aboveground plant biomass and a higher diversity of plant species [<xref ref-type="bibr" rid="scirp.90786-ref53">53</xref>]. Restoration practices such as sediment removal can also change plant species composition as well as lower excess nutrients in playas [<xref ref-type="bibr" rid="scirp.90786-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.90786-ref73">73</xref>]. Practices associated with WRP in the RWB effectively reduce GHG emissions from playas, thus climate mitigation is an ecosystem service that may be enhanced through playa restoration in the RWB.</p><p>Due to its extent in the High Plains, CRP has a greater influence on playas than any other conservation program [<xref ref-type="bibr" rid="scirp.90786-ref19">19</xref>]. Playas embedded in CRP produced less net CO<sub>2-equiv</sub> emissions than native grassland and cropland playas. Because they are inundated less frequently as a result of exotic grasses in the upland, however, their capacity to provide other services such as wildlife habitat and aquifer recharge may be reduced [<xref ref-type="bibr" rid="scirp.90786-ref19">19</xref>]. The benefits of lower gas emissions must be appropriately weighted against loss of services related to shorter hydroperiods in playas in CRP. Furthermore, native grassland watersheds in the WHP should be maintained in order to maximize atmospheric CH<sub>4</sub> oxidation and climate mitigation services.</p></sec></sec><sec id="s7"><title>Acknowledgements</title><p>We thank Randy Stutheit of Nebraska Games and Parks Commission who assisted in locating study playas and landowner information. We also thank the U.S. Fish and Wildlife Service for providing accommodations during field stay. Thanks to Alex Sazama and Raju Katwal for assisting with data collection. We also thank private landowners that allowed us access to their playas. This research was funded by the EPA through the 2011 Wetland Program Development Grant Program: Project CD-97731401. Funding for this project was also provided by the U.S. Geological Survey Climate and Land Use Change R &amp; D Program. This research was also partially supported through the Natural Resource Conservation Service-CEAP Wetlands Program. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</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>Daniel, D.W., Smith, L.M., McMurry, S.T., Tangen, B.A., Dahl, C.F., Euliss Jr., N.H. and LaGrange, T. (2019) Effects of Land Use on Greenhouse Gas Flux in Playa Wetlands and Associated Watersheds in the High Plains, USA. Agricultural Sciences, 10, 181-201. https://doi.org/10.4236/as.2019.102016</p></sec></body><back><ref-list><title>References</title><ref id="scirp.90786-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Pielke, R.A., Marland, G., Betts, R.A., Chase, T.N., Eastman, J.L., Niles, J.O., Niyogi, D.D.S. and Running, S.W. (2002) The Influence of Landuse Change and Landscape Dynamics on the Climate System: Relevance to Climate-Change Policy beyond the Radiative Effect of Greenhouse Gases. Philosophical Transactions of the Royal Society of London, Series A, 360, 1705-1719.</mixed-citation></ref><ref id="scirp.90786-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Houghton, R.A. (1990) The Global Effects of Tropical Deforestation. 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