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	<title>environmental modeling &#8211; Science</title>
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	<title>environmental modeling &#8211; Science</title>
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		<title>Rethinking the US-China Farm Trade: Food Exports Could Slash Nitrogen and Climate Pollution</title>
		<link>https://scienmag.com/rethinking-the-us-china-farm-trade-food-exports-could-slash-nitrogen-and-climate-pollution/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Wed, 07 Oct 2026 20:07:10 +0000</pubDate>
				<category><![CDATA[Athmospheric]]></category>
		<category><![CDATA[agricultural trade]]></category>
		<category><![CDATA[climate change and greenhouse gas emissions from agriculture]]></category>
		<category><![CDATA[economic and environmental implications of rethinking farm trade patterns]]></category>
		<category><![CDATA[environmental benefits of changing US-China agricultural exports]]></category>
		<category><![CDATA[environmental modeling]]></category>
		<category><![CDATA[feed crops]]></category>
		<category><![CDATA[food exports and environmental impact]]></category>
		<category><![CDATA[food systems]]></category>
		<category><![CDATA[greenhouse gas emissions]]></category>
		<category><![CDATA[impact of feed crop exports on nitrogen and climate pollution]]></category>
		<category><![CDATA[livestock production]]></category>
		<category><![CDATA[manure recycling]]></category>
		<category><![CDATA[modeling studies on agricultural trade and environmental outcomes]]></category>
		<category><![CDATA[nitrogen cycling]]></category>
		<category><![CDATA[nitrogen cycling and pollution in global agriculture]]></category>
		<category><![CDATA[nitrogen pollution]]></category>
		<category><![CDATA[nitrogen pollution from livestock feed imports]]></category>
		<category><![CDATA[reducing nitrogen loss through food trade reorganization]]></category>
		<category><![CDATA[role of animal-derived food exports in reducing pollution]]></category>
		<category><![CDATA[sustainable agriculture]]></category>
		<category><![CDATA[sustainable trade policies for agriculture]]></category>
		<category><![CDATA[trade policy]]></category>
		<category><![CDATA[U.S.-China trade]]></category>
		<category><![CDATA[US-China agricultural trade]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=245465</guid>

					<description><![CDATA[A modeling study finds that shifting U.S. exports to China from feed crops to animal-derived food could cut global nitrogen loss by 38 percent and greenhouse gas emissions by 17 percent.]]></description>
										<content:encoded><![CDATA[<p>America&#8217;s agricultural relationship with China is built on a vast, largely invisible pipeline of animal feed. Every year, enormous quantities of soybeans, maize and other feed crops cross the Pacific, where they are consumed by livestock raised on Chinese farms. A new modeling study published in the journal Nitrogen Cycling on 27 July 2026 suggests that this long-standing arrangement, while beneficial in some respects, leaves a substantial amount of environmental damage on the table. According to the research team led by Xin Zhang of the University of Maryland Center for Environmental Science, replacing feed crop exports with exports of animal-derived food could reduce global nitrogen loss by 38 percent and greenhouse gas emissions by 17 percent compared with the current feed-dominated trade pattern. The finding reframes a debate that has traditionally been argued in terms of commodity volumes and trade balances, adding nutrient pollution, climate impacts and economic returns to the ledger.</p>
<p>The logic behind the result begins with nitrogen, an element that sits at the heart of both agricultural productivity and agricultural pollution. Synthetic fertilizers and manure sustain the world&#8217;s crops, but nitrogen that is not taken up by plants leaks into rivers, coastal waters and the atmosphere, contributing to water-quality degradation and greenhouse gas emissions. The study traced nitrogen through the full chain of feed crops, livestock products and manure, estimating emissions from farming, fertilizer use, livestock and international shipping. By following the element across borders, the researchers could compare not just how much is produced, but where it is produced and what happens to the waste streams that production generates. That geographic dimension, the authors argue, is what most previous trade studies, which focused mainly on crops, have missed.</p>
<p>The United States currently enjoys a genuine environmental advantage in growing feed. According to the study, producing feed crops in the United States causes less global nitrogen loss than producing the same feed entirely within China, which is one reason the existing trade pattern is not the worst-case scenario. Under the current arrangement, production linked to the traded commodities generated an estimated 1.3 million metric tons of nitrogen loss and 57 million metric tons of carbon dioxide equivalent in greenhouse gas emissions. Compared with a hypothetical world in which China produced both the feed and the animal products domestically, the existing trade already reduced global nitrogen loss by 32 percent and emissions by 7 percent. In other words, the trans-Pacific feed trade is already doing some environmental work relative to full domestic production in China.</p>
<p>Yet the current system carries a structural flaw: the feed and the animals that eat it are separated across two countries. That separation limits opportunities to return livestock manure to the fields where the feed is grown, breaking one of agriculture&#8217;s oldest nutrient loops. The consequences are quantified in the study, which found that more than 40 percent of the nitrogen in imported feed is lost as manure in China. Manure that cannot be recycled onto cropland becomes a pollutant rather than a resource, driving nitrogen losses that the model captures in its global totals. The researchers suggest that closing this loop, either by moving livestock closer to feed production or by improving manure management, is central to reducing the environmental footprint of the two countries&#8217; intertwined food systems.</p>
<p>To test alternatives, the team constructed three scenarios using 2022 trade data: a baseline with no bilateral feed or food trade, the existing pattern of predominantly feed exports, and a hypothetical shift in which the United States produces the animal products that those feed exports currently support and ships the food itself to China. The modeled switch to food exports produced striking results. Estimated emissions fell to 48 million metric tons of carbon dioxide equivalent, while environmental damage costs dropped by 32 percent relative to current trade. The economic picture improved as well: the shift increased estimated U.S. agricultural trade revenue by 10.5 billion dollars, with a reported uncertainty of 2.4 billion dollars. Exporting finished animal products, in this model, captures more value per unit of environmental impact than exporting the raw feed.</p>
<p>The efficiency story behind these numbers is geographic. The study estimated that feed is converted into animal products more efficiently in the United States than in China, which means that producing a given quantity of pork, poultry or other animal-derived food requires less feed, and therefore less fertilizer and fewer associated nitrogen losses, when the livestock are raised in America. Moving livestock production to the United States would also place animals near the feed fields, making more manure available for use on U.S. cropland and partially restoring the nutrient recycling that the current trade pattern severs. The researchers&#8217; model placed projected production changes across U.S. counties, allowing them to see not only national totals but where the new burdens would actually land.</p>
<p>Those local impacts are the study&#8217;s most important caveat. The global gains come with a geographic trade-off: shifting livestock production to the United States increases its estimated emissions and nitrogen pollution, particularly in major livestock-producing areas, even as the corresponding impacts decline in China. Pollution, in other words, does not simply disappear when trade patterns change; it moves. The authors are explicit that their figures are outcomes of modeled scenarios, not predictions that trade will change, and they emphasize that the shift would require additional environmental safeguards in the regions that absorb new production. Their additional scenarios found that combining food waste recovery with improved manure recycling could cut nitrogen loss further and reduce the added U.S. environmental burden, suggesting that policy and technology choices within the importing country shape how large the local cost of the transition would be.</p>
<p>The analytical framework the study offers may prove as consequential as any single number. By accounting for nutrient pollution, climate impacts, environmental damage costs and trade revenue within a single model, the researchers provide a way to assess trade choices that goes beyond commodity flows. The central finding is that the products traded, and where crops and livestock are produced, shape both global environmental totals and local pollution. That insight applies well beyond the U.S.-China corridor, since feed-and-livestock separation is a feature of many international agricultural supply chains. Policymakers weighing trade agreements, tariff structures or sustainability standards could, in principle, use this kind of coupled nitrogen-and-emissions accounting to compare options that look equivalent in purely economic terms but diverge sharply in environmental ones.</p>
<p>The research was supported by the project INFEWS: U.S.-China: Managing agricultural nitrogen to achieve sustainable Food-Energy-Water Nexus in China and the U.S., jointly funded by the U.S. National Science Foundation and the National Natural Science Foundation of China, with additional support to Zhang from the U.S. National Science Foundation. The authors declare no competing interests. As global demand for animal protein continues to rise, the study suggests that the question of what crosses the border, feed or food, is not a trivial detail of logistics but a decision with measurable consequences for nitrogen pollution, greenhouse gas emissions and the communities that bear them. Whether real-world trade evolves toward the modeled scenario remains uncertain, but the analysis makes clear that the environmental stakes of that choice are far larger than the feed trade&#8217;s familiar commodity statistics have suggested.</p>
<p><strong>Subject of Research:</strong> Environmental impacts of shifting U.S.-China agricultural trade from feed crops to animal-derived food products</p>
<p><strong>Article Title:</strong> Trading food instead of feed could cut agricultural pollution</p>
<p><strong>Article References:</strong> Trading food instead of feed could cut agricultural pollution. (n.d.). <a href="https://www.eurekalert.org/news-releases/1146814" rel="noopener noreferrer">Original publication</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> Not provided</p>
<p><strong>Keywords:</strong> agricultural trade, nitrogen pollution, greenhouse gas emissions, U.S.-China trade, livestock production, feed crops, manure recycling, food systems, nitrogen cycling, environmental modeling, sustainable agriculture, trade policy</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">245465</post-id>	</item>
		<item>
		<title>NOAA Bets $100 Million on Mississippi State for New Gulf Research Powerhouse</title>
		<link>https://scienmag.com/noaa-bets-100-million-on-mississippi-state-for-new-gulf-research-powerhouse/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Wed, 23 Sep 2026 22:27:51 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[coastal resilience]]></category>
		<category><![CDATA[coastal resource management]]></category>
		<category><![CDATA[Cooperative Institute]]></category>
		<category><![CDATA[Cooperative Institute for Gulf Research]]></category>
		<category><![CDATA[environmental modeling]]></category>
		<category><![CDATA[environmental research]]></category>
		<category><![CDATA[federal-university research partnerships]]></category>
		<category><![CDATA[fisheries]]></category>
		<category><![CDATA[Gulf Coast resilience]]></category>
		<category><![CDATA[Gulf of Mexico]]></category>
		<category><![CDATA[Gulf of Mexico forecasting]]></category>
		<category><![CDATA[hurricane and storm research]]></category>
		<category><![CDATA[hurricane forecasting]]></category>
		<category><![CDATA[marine and atmospheric science]]></category>
		<category><![CDATA[Mississippi State University]]></category>
		<category><![CDATA[NOAA]]></category>
		<category><![CDATA[NOAA research collaboration]]></category>
		<category><![CDATA[Northern Gulf Institute]]></category>
		<category><![CDATA[supercomputing]]></category>
		<category><![CDATA[uncrewed aircraft systems]]></category>
		<category><![CDATA[Workforce development]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=210814</guid>

					<description><![CDATA[NOAA has chosen Mississippi State University to host its new Cooperative Institute in the Northern Gulf of America, a consortium of nine Gulf-region institutions backed by up to $100 million over five years.]]></description>
										<content:encoded><![CDATA[<p>The National Oceanic and Atmospheric Administration has selected Mississippi State University to host its newest Cooperative Institute in the Northern Gulf of America, an award valued at up to $100 million over five years. The new institute, known as CINGA, will serve as a hub for environmental research, forecasting, coastal resilience and sustainable resource management across the Gulf Coast, and it builds directly on two decades of collaboration between the university and the federal science agency through the Northern Gulf Institute, which Mississippi State has led for 20 years.</p>
<p>The announcement positions Mississippi State at the center of one of the most consequential research enterprises in the region. Cooperative Institutes are NOAA&#8217;s mechanism for extending its scientific reach into the academic community, pairing federal mission priorities with university expertise in modeling, observations and workforce training. CINGA joins a national network of 16 such institutes, which together encompass 80 universities and research institutions across 33 states and the District of Columbia. Within that network, the new institute will be affiliated with NOAA&#8217;s Atlantic Oceanographic and Meteorological Laboratory in Miami, Florida, a facility best known for hurricane research and atmospheric field campaigns.</p>
<p>Steve Thur, NOAA&#8217;s assistant administrator for Oceanic and Atmospheric Research, framed the award as a continuation of a proven partnership. &#8220;This collaboration builds on the 20-year partnership between NOAA and Mississippi State University through the Northern Gulf Institute,&#8221; Thur said. &#8220;CINGA will advance and support NOAA&#8217;s mission to apply science-based decision-making to the northern Gulf region.&#8221; The language reflects the institute&#8217;s core mandate: translating research into tools that resource managers, emergency officials and coastal policymakers can actually use when storms, oil spills, harmful algal blooms or shifting fish stocks threaten Gulf communities.</p>
<p>Mississippi State President Mark E. Keenum said the designation reinforces the university&#8217;s standing as a national leader in coastal and ocean research while opening new opportunities for Mississippi scientists, students and communities. &#8220;Mississippi State University is honored by NOAA&#8217;s selection and grateful for the opportunity to continue and expand this important partnership,&#8221; Keenum said. &#8220;This designation recognizes the world-class expertise of our faculty, researchers and staff, as well as the strength of the partnerships we have built throughout the Gulf region.&#8221; He added that the institute&#8217;s work is expected to generate discoveries that benefit coastal communities, strengthen economic opportunity and support the long-term sustainability of what he described as one of America&#8217;s most important natural resources.</p>
<p>The physical and computational infrastructure underpinning the partnership is substantial. Mississippi State and NOAA share a building at NASA&#8217;s Stennis Space Center on the Mississippi Gulf Coast, a site designed to keep federal and academic researchers working side by side rather than across institutional boundaries. NOAA has also invested in supercomputing systems managed by the university, and two of those systems have been ranked among the most powerful in the world. That computing capacity matters enormously for the institute&#8217;s scientific agenda, because modern environmental prediction depends on high-resolution numerical models of the atmosphere and ocean that demand enormous processing power to run at operational speeds.</p>
<p>The research portfolio already produced by the partnership illustrates the range of that capability. Among its most visible achievements is the advancement of large uncrewed aircraft systems, or drones, for storm response. These platforms can fly into and around severe weather in ways that are too dangerous or expensive for crewed aircraft, gathering data that helps NOAA and emergency officials better understand which areas face the greatest risk of flooding during weather events. That kind of observational technology feeds directly into the forecasting improvements that CINGA is designed to pursue, closing the gap between raw measurements and actionable warnings for people in the path of a storm.</p>
<p>Through the new institute, Mississippi State researchers and their partners will advance work supporting fisheries, coastal economies, maritime industries, hurricane and weather forecasting, ecosystem health and community resilience across the Gulf Coast, with particular attention to Mississippi&#8217;s coastal communities and industries. The institute&#8217;s major research themes include advancing environmental modeling and analysis technologies, improving forecasting capabilities for weather, ocean conditions and environmental hazards, promoting sustainable development of marine and coastal resources, and enhancing data stewardship and accessibility across the Gulf ecosystem. The data theme is increasingly central to modern environmental science: observations gathered by satellites, buoys, aircraft and ships are only useful if they can be quality-controlled, archived and delivered to modelers and decision-makers in near real time.</p>
<p>CINGA is structured as a consortium rather than a single-campus operation, bringing together researchers from nine institutions across the Gulf region. In addition to Mississippi State, the partners include Florida A&amp;M University, Florida State University, Jackson State University, Louisiana State University and Texas A&amp;M University, along with the University of Alabama in Huntsville, the University of Southern Mississippi and the Dauphin Island Sea Lab. That geographic and institutional spread matters for a system as large as the Gulf of Mexico, where ocean currents, river plumes, hurricane tracks and fishery stocks ignore state lines. It also embeds historically underrepresented institutions, including two historically Black universities, into the fabric of federally funded ocean and atmospheric research.</p>
<p>Beyond the science itself, the institute carries an explicit workforce mission. CINGA will provide hands-on research experiences and workforce development opportunities for students preparing for careers in science, technology and natural resource management, a pipeline function that NOAA considers central to the Cooperative Institute model. The agency describes its institutes as centers of excellence that leverage university research and educational expertise to support NOAA priorities while developing the next generation of scientists and professionals. For a region whose economy depends heavily on fisheries, shipping, tourism and energy, cultivating homegrown technical talent is arguably as consequential as any individual research finding.</p>
<p>Leadership of the new institute falls to Jamie Dyer, a Mississippi State geosciences professor who was recently named director of the Northern Gulf Institute, the predecessor organization on which CINGA is built. &#8220;This award reflects the extraordinary work of our researchers and partner institutions and the confidence NOAA has in our collective ability to serve the Gulf region,&#8221; Dyer said. &#8220;CINGA creates tremendous opportunities to deepen scientific collaboration, develop future workforce talent and provide actionable research that helps communities, resource managers and policymakers make informed decisions about the Gulf&#8217;s future.&#8221; The award carries the potential for a five-year renewal based on successful performance, meaning the institute&#8217;s trajectory, and its impact on the Gulf Coast, will be judged against the same standard it was created to meet: science that communities can use.</p>
<p><strong>Subject of Research:</strong> NOAA&#x27;s selection of Mississippi State University to host a new Gulf Coast cooperative environmental research institute</p>
<p><strong>Article Title:</strong> NOAA selects Mississippi State to host new Northern Gulf research institute with up to $100 million in funding</p>
<p><strong>Article References:</strong> NOAA selects Mississippi State to host new Northern Gulf research institute with up to $100 million in funding. (n.d.). <a href="https://www.eurekalert.org/news-releases/1145218" rel="noopener noreferrer">Original publication</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> Not provided</p>
<p><strong>Keywords:</strong> NOAA, Mississippi State University, Cooperative Institute, Gulf of Mexico, coastal resilience, hurricane forecasting, environmental modeling, uncrewed aircraft systems, supercomputing, fisheries, workforce development, Northern Gulf Institute</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">210814</post-id>	</item>
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