Environment

FSI scholars approach their research on the environment from regulatory, economic and societal angles. The Center on Food Security and the Environment weighs the connection between climate change and agriculture; the impact of biofuel expansion on land and food supply; how to increase crop yields without expanding agricultural lands; and the trends in aquaculture. FSE’s research spans the globe – from the potential of smallholder irrigation to reduce hunger and improve development in sub-Saharan Africa to the devastation of drought on Iowa farms. David Lobell, a senior fellow at FSI and a recipient of a MacArthur “genius” grant, has looked at the impacts of increasing wheat and corn crops in Africa, South Asia, Mexico and the United States; and has studied the effects of extreme heat on the world’s staple crops.

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Fast, accurate and inexpensive estimates of crop yields at the field scale are useful for many applications. Based on the Google Earth Engine (GEE) platform, we recently developed a Scalable satellite-based Crop Yield Mapper (SCYM) that integrates crop simulations with satellite imagery and gridded weather data to generate 30 m resolution yield estimates for multiple crops in different regions. Existing versions of SCYM typically capture one-third to half of the variation in reported county-scale yields. Using rainfed maize in the US Midwest as an example, this study tested multiple approaches for improving SCYM’s accuracy, including (i) calibrating the phenology parameters of the crop model (APSIM) used to generate training samples for SCYM; (ii) using an ensemble of three crop models (APSIM-Maize, CERES-Maize, and Hybrid-Maize) instead of a single model; (iii) using simulated biomass from the crop models instead of simulated yields to train SCYM, with the former assuming a constant harvest index (HI). Results show substantial improvement in performance, as assessed using reported county yields by USDA-NASS, both from calibrating APSIM phenology parameters and from training SCYM on simulated biomass rather than yields. Using a multi-model ensemble further improves SCYM, although the benefit is limited. The proposed preferred version of SCYM on average captures 75% of the yield variation for 2001–2015 in the 3I states (i.e. Illinois, Indiana and Iowa) where SCYM is trained, with RMSE typically less than 1 t/ha, and explains 41% to 83% of multi-year yield variations when tested across nine Midwestern US states for 2008–2015. This level of accuracy is particularly notable given that only data from 2014 were used to calibrate phenology parameters. The yield estimates for multiple years in multiple states utilized 1184 Landsat tiles, but could be completed in about 2 h per year by using the GEE platform. All approaches tested in this study do not require any site-specific measurements, and thus can be readily extended to other regions and crops.

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Journal Articles
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Agricultural and Forest Meteorology
Authors
George Azzari
David Lobell
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EMERGING ISSUES IN CONTEMPORARY ASIA

A Special Seminar Series


RSVP required by Tuesday, May 7, 2019

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ABSTRACT: Why have the three most salient minority groups in Japan - the politically dormant Ainu, the active but unsuccessful Koreans, and the former outcaste group of Burakumin - all expanded their activism since the late 1970s despite the unfavorable domestic political environment? My investigation into the history of the three groups finds an answer in the galvanizing effects of global human rights on local social movements. Drawing on interviews and archival data, I document the transformative impact of global human rights ideas and institutions on minority activists, which changed the prevalent understanding about their standing in Japanese society and propelled them to new international venues for political claim making. The global forces also changed the public perception and political calculus in Japan over time, catalyzing substantial gains for the minority movements. Having benefited from global human rights, all three groups repaid their debt by contributing to the consolidation and expansion of international human rights principles and instruments. The in-depth historical comparative analysis offers rare windows into local, micro-level impact of global human rights - complementing my other projects on the relationship between international human rights and local politics, which employ cross-national quantitative analyses - and contributes to our understanding of international norms and institutions, social movements, human rights, ethnoracial politics, and Japanese society. 
 
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Kiyoteru Tsutsui
PROFILE:
  Kiyoteru Tsutsui is Professor of Sociology, Director of the Center for Japanese Studies, and Director of the Donia Human Rights Center at the University of Michigan, Ann Arbor. His research on globalization of human rights and its impact on local politics has appeared in American Sociological Review, American Journal of Sociology, Social Forces, Social Problems, Journal of Peace Research, Journal of Conflict Resolution, and other social science journals. His book publications include Rights Make Might: Global Human Rights and Minority Social Movements in Japan (Oxford University Press 2018), and a co-edited volume (with Alwyn Lim) Corporate Social Responsibility in a Globalizing World (Cambridge University Press 2015). He has been a recipient of National Endowment for the Humanities Fellowship, National Science Foundation grants, the SSRC/CGP Abe Fellowship, Stanford Japan Studies Postdoctoral Fellowship, and other grants as well as awards from American Sociological Association sections on Global and Transnational Sociology (2010, 2013), Human Rights (2017), Asia and Asian America (2018), and Collective Behavior and Social Movements (2018).
 

 

McClatchy Hall, Building 120, Studio 40
450 Serra Mall
Stanford University

Kiyoteru Tsutsui Professor of Sociology, University of Michigan
Seminars
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Massive changes in the global food sector over the next few decades – driven by climate change and other environmental stresses, growing population and income, advances in technology, and shifts in policies and trade patterns – will have profound implications for the oceans. Roz Naylor, Senior Fellow and Founding Director of Stanford’s Center on Food Security and the Environment,  will discuss the interplay between terrestrial and marine food systems, highlighting the rising role of aquaculture in helping to meet the nutritional demands of 9-10 billion people by 2050. As a platform for her talk, she will introduce a new research initiative at Stanford on “Oceans and the Future of Food”, co-led by the Center for Oceans Solutions (COS) and the Center on Food Security and the Environment (FSE).

Free Admission is by reservation only. Please call 831-655-6200 between 8:30AM – 5:00PM, Mon-Fri, or RSVP at the Friends of Hopkins web page.

Contact:
Amanda Whitmire
831-655-6200
thalassa@stanford.edu

Boat Works Lecture Hall, Hopkins Marine Station

Lectures
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Abstract: In efforts to halt the Syrian government’s use of chemical weapons (CW) in that country’s civil war the United States and other outside powers applied coercive strategies, in both a deterrent and compellent mode. Outcomes varied: compellence achieved a partial success in getting Syria to give up much of its chemical stockpile, but there were multiple deterrence failures. This paper examines this record to draw lessons about factors associated with the effectiveness of coercion. Its analysis points to the interplay of three factors: credibility, motivation, and assurance. Regarding credibility, the case demonstrates that threats fulfilling many of the traditional criteria for establishing credibility can still fail. In Syria, this is partly because there were ambiguities in the scope of what was covered by deterrent warnings and partly because other factors also affect coercive outcomes. In the Syria case two additional factors were especially important. First, the domestic political motivations of the target affect whether external threats provide coercive leverage. In this case Syrian President Assad’s concern with regime survival led him to perceive the value of CW use as outweighing the likely costs even if outside powers followed through on retaliatory threats. Second, where regime survival is a concern, it is vital to pair coercive threats with appropriate assurances. Here, the case suggests that it is possible not only to provide too little assurance, but also too much. Whereas the Obama administration found it hard to offer credible assurances to Assad, the Trump administration initially conveyed assurances that were too robust, creating a sense that Syria could use CW with impunity. This analysis suggests there may have been a potentially viable path to effective coercion of the Assad regime, but the path would have involved intense tradeoffs that largely prevented decision makers from embracing it. Decision makers and outside commentators alike turned instead to a familiar schema that implies credibility is established by demonstrating a willingness to impose costs using airpower – a script that can be labeled the “resolve plus bombs” formula. Despite the frequent tendency to equate coercion with the threat or limited use of air strikes, this approach was not sufficient to change Syria’s calculations regarding chemical arms.

 

Speaker's Biography: Jeff Knopf is a professor at the Middlebury Institute of International Studies (MIIS) in Monterey, California, where he serves as chair of the M.A. program in Nonproliferation and Terrorism Studies and a senior research associate with the Center for Nonproliferation Studies (CNS). He is on sabbatical for the 2018-19 academic year and is spending the year as a visiting scholar at CISAC. This is his second stint at CISAC. Dr. Knopf received his Ph.D. in Political Science from Stanford and was previously a pre-doctoral fellow at CISAC in the days when it was still located in the old Galvez House. His most recently completed project is a forthcoming book volume he co-edited on Behavioral Economics and Nuclear Weapons. While at CISAC, Dr. Knopf will primarily be working on a project titled “Coercing Syria on Chemical Weapons.” This project examines efforts by the United States and other countries to apply deterrent and compellent strategies in attempts to stop the Syrian government from using chemical weapons and to dismantle its chemical arsenal. Dr. Knopf will also be working on a paper that explores cognitive aspects of the nuclear taboo.

Jeffrey Knopf Professor Middlebury Institute of International Studies (MIIS)
Seminars
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Abstract:

The recent surge in nationalism and tribalism brings renewed salience to questions of identity within and across borders. Notably, it exposes the tension between bounded social identities, on the one hand, and universalist yearnings and commitments, on the other. Liberal democracy—and the ostensible universalism on which it is based—is struggling to resolve this tension. I turn instead to the cosmopolitan tradition. I argue that cosmopolitanism—and a genuinely cosmopolitan (i.e., unbounded) social identity, in particular—represents not just an extension of scope from the national to the global, but a qualitative shift that permeates all identities, and serves to fundamentally protect and liberate particularist attachments from their otherwise inherent instabilities and contradictions. On this view, the promise of cosmopolitanism does not rest exclusively in what it can deliver beyond our borders, but also in its potential to fundamentally recast social identities within boundaries, resolving crises of identity at all levels of society.

 

Speaker Bio:

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sabet headshot
Shahrzad Sabet's research spans politics, economics, psychology, and philosophy. She is a Fellow at the University of Maryland’s Bahá’í Chair for World Peace Program. Previously, she was a Senior Research Fellow at Princeton University’s Niehaus Center for Globalization and Governance and a Postdoctoral Fellow at Harvard, where she recently received her PhD in Government. Her work has been featured in outlets such as The Washington Post and The New York Times.

Shahrzad Sabet Fellow at the University of Maryland’s Bahá’í Chair for World Peace Program
Seminars
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Accurate prediction of crop yields in developing countries in advance of harvest time is central to preventing famine, improving food security, and sustainable development of agriculture. Existing techniques are expensive and difficult to scale as they require locally collected survey data. Approaches utilizing remotely sensed data, such as satellite imagery, potentially provide a cheap, equally effective alternative. Our work shows promising results in predicting soybean crop yields in Argentina using deep learning techniques. We also achieve satisfactory results with a transfer learning approach to predict Brazil soybean harvests with a smaller amount of data. The motivation for transfer learning is that the success of deep learning models is largely dependent on abundant ground truth training data. Successful crop yield prediction with deep learning in regions with little training data relies on the ability to fine-tune pre-trained models.

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Working Papers
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COMPASS '18 Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
Authors
David Lobell
Stefano Ermon
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We assess scientific evidence that has emerged since the U.S. Environmental Protection Agency’s 2009 Endangerment Finding for six well-mixed greenhouse gases and find that this new evidence lends increased support to the conclusion that these gases pose a danger to public health and welfare. Newly available evidence about a wide range of observed and projected impacts strengthens the association between the risk of some of these impacts and anthropogenic climate change, indicates that some impacts or combinations of impacts have the potential to be more severe than previously understood, and identifies substantial risk of additional impacts through processes and pathways not considered in the Endangerment Finding.

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Journal Articles
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Science
Authors
Christopher B. Field
Noah Diffenbaugh
David Lobell
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We assess scientific evidence that has emerged since the U.S. Environmental Protection Agency’s 2009 Endangerment Finding for six well-mixed greenhouse gases and find that this new evidence lends increased support to the conclusion that these gases pose a danger to public health and welfare. Newly available evidence about a wide range of observed and projected impacts strengthens the association between the risk of some of these impacts and anthropogenic climate change, indicates that some impacts or combinations of impacts have the potential to be more severe than previously understood, and identifies substantial risk of additional impacts through processes and pathways not considered in the Endangerment Finding.

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Publication Type
Commentary
Publication Date
Journal Publisher
Science
Authors
Christopher B. Field
Noah Diffenbaugh
David Lobell
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Millions of people worldwide are absent from their country’s census. Accurate, current, and granular population metrics are critical to improving government allocation of resources, to measuring disease control, to responding to natural disasters, and to studying any aspect of human life in these communities. Satellite imagery can provide sufficient information to build a population map without the cost and time of a government census. We present two Convolutional Neural Network (CNN) architectures which efficiently and effectively combine satellite imagery inputs from multiple sources to accurately predict the population density of a region. In this paper, we use satellite imagery from rural villages in India and population labels from the 2011 SECC census. Our best model achieves better performance than previous papers as well as LandScan, a community standard for global population distribution.

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Publication Type
Working Papers
Publication Date
Journal Publisher
AAAI/ACM Conference
Authors
David Lobell
Stefano Ermon
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