•Journal•ISSN: 1748-9326
Environmental Research Letters
IOP Publishing
About: Environmental Research Letters is an academic journal published by IOP Publishing. The journal publishes majorly in the area(s): Climate change & Environmental science. It has an ISSN identifier of 1748-9326. It is also open access. Over the lifetime, 6946 publications have been published receiving 277361 citations. The journal is also known as: ERL.
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TL;DR: The authors showed that simple measures of growing season temperatures and precipitation (spatial averages based on the locations of each crop) explain ∼30% or more of year-to-year variations in global average yields for the world's six most widely grown crops.
Abstract: Changes in the global production of major crops are important drivers of food prices, food security and land use decisions. Average global yields for these commodities are determined by the performance of crops in millions of fields distributed across a range of management, soil and climate regimes. Despite the complexity of global food supply, here we show that simple measures of growing season temperatures and precipitation—spatial averages based on the locations of each crop—explain ∼30% or more of year-to-year variations in global average yields for the world’s six most widely grown crops. For wheat, maize and barley, there is a clearly negative response of global yields to increased temperatures. Based on these sensitivities and observed climate trends, we estimate that warming since 1981 has resulted in annual combined losses of these three crops representing roughly 40 Mt or $5 billion per year, as of 2002. While these impacts are small relative to the technological yield gains over the same period, the results demonstrate already occurring negative impacts of climate trends on crop yields at the global scale.
1,808 citations
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TL;DR: In this article, a range of methods available to estimate national-level forest carbon stocks in developing countries are reviewed, including ground-based and remote-sensing measurements of forest attributes using allometric relationships.
Abstract: Reducing carbon emissions from deforestation and degradation in developing countries is of central importance in efforts to combat climate change. Key scientific challenges must be addressed to prevent any policy roadblocks. Foremost among the challenges is quantifying nations' carbon emissions from deforestation and forest degradation, which requires information on forest clearing and carbon storage. Here we review a range of methods available to estimate national-level forest carbon stocks in developing countries. While there are no practical methods to directly measure all forest carbon stocks across a country, both ground-based and remote-sensing measurements of forest attributes can be converted into estimates of national carbon stocks using allometric relationships. Here we synthesize, map and update prominent forest biomass carbon databases to create the first complete set of national-level forest carbon stock estimates. These forest carbon estimates expand on the default values recommended by the Intergovernmental Panel on Climate Change's National Greenhouse Gas Inventory Guidelines and provide a range of globally consistent estimates.
1,499 citations
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TL;DR: In this article, the authors show that by combining historical crop production and weather data into a panel analysis, a robust model of yield response to climate change emerges for several key African crops, including maize, sorghum, millet, groundnut, and cassava.
Abstract: There is widespread interest in the impacts of climate change on agriculture in Sub-Saharan Africa (SSA), and on the most effective investments to assist adaptation to these changes, yet the scientific basis for estimating production risks and prioritizing investments has been quite limited. Here we show that by combining historical crop production and weather data into a panel analysis, a robust model of yield response to climate change emerges for several key African crops. By mid-century, the mean estimates of aggregate production changes in SSA under our preferred model specification are − 22, − 17, − 17, − 18, and − 8% for maize, sorghum, millet, groundnut, and cassava, respectively. In all cases except cassava, there is a 95% probability that damages exceed 7%, and a 5% probability that they exceed 27%. Moreover, countries with the highest average yields have the largest projected yield losses, suggesting that well-fertilized modern seed varieties are more susceptible to heat related losses.
1,274 citations
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Université de Sherbrooke1, University of Alberta2, University of Lapland3, University of Victoria4, Wageningen University and Research Centre5, University of Alaska Fairbanks6, University of Oxford7, Université du Québec à Trois-Rivières8, Laval University9, St. John's University10, University of Amsterdam11, University of Vermont12, Aarhus University13, University of Zurich14, Swiss Federal Institute for Forest, Snow and Landscape Research15, University of Edinburgh16, La Trobe University17, Woods Hole Oceanographic Institution18, Lamont–Doherty Earth Observatory19, University of British Columbia20, University of Tromsø21, University of Alaska Anchorage22, Queen's University23, University of Virginia24
TL;DR: This article used repeat photography, long-term ecological monitoring and dendrochronology to document shrub expansion in arctic, high-latitude and alpine tundra.
Abstract: Recent research using repeat photography, long-term ecological monitoring and dendrochronology has documented shrub expansion in arctic, high-latitude and alpine tundra
1,153 citations
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TL;DR: This study estimates historical electricity use by data centers worldwide and regionally on the basis of more detailed data than were available for previous assessments, including electricity used by servers, data center communications, and storage equipment.
Abstract: The direct electricity used by data centers has become an important issue in recent years as demands for new Internet services (such as search, music downloads, video-on-demand, social networking, and telephony) have become more widespread. This study estimates historical electricity used by data centers worldwide and regionally on the basis of more detailed data than were available for previous assessments, including electricity used by servers, data center communications, and storage equipment. Aggregate electricity use for data centers doubled worldwide from 2000 to 2005. Three quarters of this growth was the result of growth in the number of the least expensive (volume) servers. Data center communications and storage equipment each contributed about 10% of the growth. Total electricity use grew at an average annual rate of 16.7% per year, with the Asia Pacific region (without Japan) being the only major world region with growth significantly exceeding that average. Direct electricity used by information technology equipment in data centers represented about 0.5% of total world electricity consumption in 2005. When electricity for cooling and power distribution is included, that figure is about 1%. Worldwide data center power demand in 2005 was equivalent (in capacity terms) to about seventeen 1000 MW power plants.
1,014 citations