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  • 1
    Online Resource
    Online Resource
    Wiley ; 2005
    In:  American Journal of Agricultural Economics Vol. 87, No. 5 ( 2005-12), p. 1113-1127
    In: American Journal of Agricultural Economics, Wiley, Vol. 87, No. 5 ( 2005-12), p. 1113-1127
    Type of Medium: Online Resource
    ISSN: 0002-9092 , 1467-8276
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2005
    detail.hit.zdb_id: 2026345-4
    detail.hit.zdb_id: 218188-5
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2010
    In:  International Journal of Climatology Vol. 30, No. 11 ( 2010-09), p. 1706-1722
    In: International Journal of Climatology, Wiley, Vol. 30, No. 11 ( 2010-09), p. 1706-1722
    Abstract: This study investigates the skill of linear methods for downscaling provincial‐scale precipitation over Indonesia from fields that describe the large‐scale circulation and hydrological cycle. The study is motivated by the strong link between large‐scale variations in the monsoon and the El Niño—Southern Oscillation (ENSO) phenomenon and regional precipitation, and the subsequent impact of regional precipitation on rice production in Indonesia. Three different downscaling methods are tested across five different combinations of large‐scale predictor fields and two different estimates of regional precipitation for Indonesia. Downscaling techniques are most skillful over the southern islands (Java and Bali) during the monsoon onset or transition season (Sep‐Dec). The methods are moderately skillful in the southern islands during the dry season (May‐Aug), and exhibit poor skill during the wet season (Jan‐Apr). In northern Sumatra downscaling methods are most skillful during January to April with little skill during other times of the year. There is little difference between the three different linear methods used to downscale precipitation over Indonesia. Additional analysis indicates that downscaling methods that are trained on the annual cycle of precipitation produce less‐biased estimates of the annual cycle of regional precipitation than raw model output, and also show some skill at reconstructing interannual variations in regional precipitation. Most of the skill of downscaling methods is attributed to year‐to‐year ENSO variations and to the long‐term trend in precipitation and large‐scale fields. While the goal of the present study is to investigate the skill of downscaling methods specifically for Indonesia, results are expected to be more generally applicable. In particular, the downscaling models derived from observations have been effectively used to debias the annual cycle of regional precipitation from global climate models. It is expected that the methods will be generally applicable in other regions where regional precipitation is strongly affected by the large‐scale circulation. Copyright © 2009 Royal Meteorological Society
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 1491204-1
    detail.hit.zdb_id: 1000947-4
    SSG: 14
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  • 3
    Online Resource
    Online Resource
    Wiley ; 1998
    In:  American Journal of Agricultural Economics Vol. 80, No. 5 ( 1998-12), p. 960-968
    In: American Journal of Agricultural Economics, Wiley, Vol. 80, No. 5 ( 1998-12), p. 960-968
    Type of Medium: Online Resource
    ISSN: 0002-9092 , 1467-8276
    Language: English
    Publisher: Wiley
    Publication Date: 1998
    detail.hit.zdb_id: 2026345-4
    detail.hit.zdb_id: 218188-5
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2004
    In:  Crop Science Vol. 44, No. 6 ( 2004-11), p. 1901-1904
    In: Crop Science, Wiley, Vol. 44, No. 6 ( 2004-11), p. 1901-1904
    Type of Medium: Online Resource
    ISSN: 0011-183X , 1435-0653
    Language: English
    Publisher: Wiley
    Publication Date: 2004
    detail.hit.zdb_id: 2375444-8
    detail.hit.zdb_id: 1480918-7
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  • 5
    In: Agronomy Journal, Wiley, Vol. 97, No. 1 ( 2005-01), p. 241-249
    Abstract: Improved understanding of the factors that limit crop yields in farmers’ fields will play an important role in increasing regional food production while minimizing environmental impacts. However, causes of spatial variability in crop yields are poorly known in many regions because of limited data availability and analysis methods. In this study, we assessed sources of between‐field wheat ( Triticum aestivum L.) yield variability for two growing seasons in the Yaqui Valley, Mexico. Field surveys conducted in 2001 and 2003 provided data on management practices for 68 and 80 wheat fields throughout the Valley, respectively, while yields on these fields were estimated using concurrent Landsat satellite imagery. Management–yield relationships were analyzed with t tests, linear regression, and regression trees, all of which revealed significant but year‐dependent impacts of management on yields. In 2001, an unusually cool year that favored high yields, N fertilizer was the most important source of between‐field variability. In 2003, a warmer year with reduced irrigation water allocations, the timing of the first postplanting irrigation was found to be the most important control. Management explained at least 50% of spatial yield variability in both years. Regression tree models, which were able to capture important nonlinearities and interactions, were more appropriate for analyzing yield controls than traditional linear models. The results of this study indicate that adjustments in management can significantly improve wheat production in the Yaqui Valley but that the relevant controls change from year to year.
    Type of Medium: Online Resource
    ISSN: 0002-1962 , 1435-0645
    Language: English
    Publisher: Wiley
    Publication Date: 2005
    detail.hit.zdb_id: 410332-4
    detail.hit.zdb_id: 1471598-3
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2010
    In:  Population and Development Review Vol. 36, No. 4 ( 2010-12), p. 693-723
    In: Population and Development Review, Wiley, Vol. 36, No. 4 ( 2010-12), p. 693-723
    Abstract: This article analyzes international commodity price movements, assesses food policies in response to price fluctuations, and explores the food security implications of price volatility on low‐income groups. It focuses specifically on measurements, causes, and consequences of recent food price trends, variability around those trends, and price spikes. Combining these three components of price dynamics shows that the variation in real prices post‐2000 was substantially greater than that in the 1980s and 1990s, and was approximately equal to the extreme volatility in commodity prices that was experienced in the 1970s. Macro policy, exchange rates, and petroleum prices were important determinants of price variability over 2005–2010, highlighting the new linkages between the agriculture‐energy and agriculture‐finance markets that affect the world food economy today. These linkages contributed in large part to misguided expectations and uncertainty that drove prices to their peak in 2008. The article also argues that there is a long‐lasting effect of price spikes on food policy around the world, often resulting in self‐sufficiency policies that create even more volatility in international markets. The efforts by governments to stabilize prices frequently contribute to even greater food insecurity among poor households, most of which are in rural areas and survive on the margin of net consumption and net production. Events of 2008—and more recently in 2010—underscore the impact of price variability for food security and the need for refocused policy approaches to prevent and mitigate price spikes.
    Type of Medium: Online Resource
    ISSN: 0098-7921 , 1728-4457
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 198595-4
    detail.hit.zdb_id: 2008912-0
    SSG: 3,4
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  • 7
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Population and Development Review Vol. 48, No. 4 ( 2022-12), p. 921-957
    In: Population and Development Review, Wiley, Vol. 48, No. 4 ( 2022-12), p. 921-957
    Abstract: Published estimates of 2050 food demand exhibit an enormous range of values. This paper projects a 50–60 percent increase in total global food demand between 2019 and 2050. Our analysis indicates a substantial slowing of rice demand, a growing share of palm oil in world fats and oils markets, and a continued shift to poultry as the dominant form of meat consumption. In contrast to most existing food models, we integrate fish consumption into the analysis of vegetable and animal protein and highlight the dangers of using commonly cited feed ratios for projecting feed grain demand. More broadly, we demonstrate the value of a commodity by region approach for understanding complexities in the world food system.
    Type of Medium: Online Resource
    ISSN: 0098-7921 , 1728-4457
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 198595-4
    detail.hit.zdb_id: 2008912-0
    SSG: 3,4
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