Showing papers in "Agricultural and Forest Meteorology in 2013"
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TL;DR: In this paper, the authors discuss the environmental drivers of phenology, and the impacts of climate change on phenology in different biomes, and assess the potential impact on these feedbacks of shifts in phenology driven by climate change.
1,522 citations
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Columbia University1, Goddard Institute for Space Studies2, University of Florida3, United States Department of Agriculture4, Commonwealth Scientific and Industrial Research Organisation5, Oregon State University6, International Food Policy Research Institute7, Wageningen University and Research Centre8, Michigan State University9, University of Bonn10, Institut national de la recherche agronomique11, University of Nebraska–Lincoln12
TL;DR: The Agricultural Model Intercomparison and Improvement Project (AgMIP) as mentioned in this paper is a major international effort linking the climate, crop, and economic modeling communities with cutting-edge information technology to produce improved crop and economic models and the next generation of climate impact projections for the agricultural sector.
803 citations
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TL;DR: In this article, a spatial assessment of heat stress risk at a global level for four key crops, wheat, maize, rice and soybean, using the FAO/IIASA Global Agro-Ecological Zones Model (GAEZ) is presented.
616 citations
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TL;DR: In this article, the authors used data from NASA's MODIS in association with county-level data from the United States Department of Agriculture (USDA) to develop empirical models predicting maize and soybean yield in the Central United States.
530 citations
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Montana State University1, Karlsruhe Institute of Technology2, University of Bayreuth3, Roskilde University4, Technical University of Denmark5, McMaster University6, Lund University7, Finnish Meteorological Institute8, Dresden University of Technology9, National Research Council10, CSIRO Marine and Atmospheric Research11, University College Cork12, University of Göttingen13, Laval University14, Queen's University15, ETH Zurich16, Free University of Bozen-Bolzano17, Tuscia University18, Max Planck Society19, University College Dublin20, Spanish National Research Council21, University of Sassari22, Russian Academy of Sciences23
TL;DR: In this article, the authors explored the relationship between energy balance closure and landscape heterogeneity using MODIS products and GLOBEstat elevation data and found that landscape-level heterogeneity in vegetation and topography cannot be ignored as a contributor to incomplete energy balance closures at the surface-atmosphere exchange measurements.
416 citations
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TL;DR: In this paper, the authors present a comprehensive newly composed strategy emphasising tests on high-frequency raw data, expanding existing tests on statistics, fluxes and corrections, plus quantification of errors.
382 citations
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University of Arizona1, University of Technology, Sydney2, University of São Paulo3, Boston University4, National Institute of Amazonian Research5, Empresa Brasileira de Pesquisa Agropecuária6, Federal University of Tocantins7, Federal University of Pará8, State University of New York System9, University of California, Irvine10, Wageningen University and Research Centre11, University of Oxford12, National Institute for Space Research13, Harvard University14, Federal University of Amazonas15, VU University Amsterdam16
TL;DR: In this paper, the seasonal patterns of Amazonian forest photosynthetic activity, and the effects thereon of variations in climate and land-use, were investigated by integrating data from a network of ground-based eddy flux towers in Brazil established as part of the 'Large-Scale Biosphere Atmosphere Experiment in Ama- zonia' project.
266 citations
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TL;DR: Investigation of drought stress in an analysis of results from 22 experimental data sets found stomatal and non-stomatal limitations to photosynthesis must both be considered for the short-term response to drought and plants adapted to arid climate respond very differently from others.
255 citations
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TL;DR: It is concluded that utilising a variety of calibration methods on output from a wide range of AOGCMs is essential to produce climate data that will ensure robust and reliable crop yield projections.
238 citations
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TL;DR: In this paper, the authors used high-resolution hyperspectral imagery acquired from an UAV to estimate the carotenoid content of the leaves of the vine in the western area of Ribera del Duero Appellation d'Origine.
222 citations
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University of New Hampshire1, United States Forest Service2, University of Toledo3, Nanjing University of Information Science and Technology4, Xiamen University5, Environmental Change Institute6, Shanxi University7, Fudan University8, Northeast Normal University9, Chinese Academy of Sciences10, Japan Agency for Marine-Earth Science and Technology11, Tsinghua University12, Beijing Forestry University13
TL;DR: In this article, the authors synthesized flux and micrometeorological observations from 22 eddy covariance flux sites across China, and examined the carbon fluxes, evapotranspiration (ET), and water use efficiency (WUE) of terrestrial ecosystems at the annual scale.
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TL;DR: In this paper, the authors assess whether the growth rate of crops is affected in the specific shade of solar photovoltaic panels (PVPs) and find that the ratio between crop temperature and incident radiation was higher below the PVPs in the morning.
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TL;DR: In this article, a satellite-driven Priestley-Taylor (PT)-based algorithm constrained by the Normalized Difference Vegetation Index (NDVI) and Apparent Thermal Inertia (ATI) derived from temperature change over time is presented.
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TL;DR: In this paper, the performance of the MTCLIM scheme for estimating downward shortwave (SWdown) radi- ation and surface humidity from daily temperature range (DTR) at 50 baseline solar radiation network stations globally was assessed.
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University of Helsinki1, University of British Columbia2, University of Copenhagen3, Finnish Meteorological Institute4, University College Dublin5, University of California, Davis6, Scottish Agricultural College7, Wageningen University and Research Centre8, Technical University of Lisbon9, University of Lisbon10, University of Antwerp11, Karlsruhe Institute of Technology12
TL;DR: In this paper, the authors applied linear and exponential flux calculation methods to the chamber data and compared these chamber fluxes to the reference fluxes from the calibration tank, and provided correction factors to correct the under- or overestimation of the fluxes by the chambers in the experiment.
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TL;DR: In this article, the importance of region-specific calibration of five important field crops (winter wheat, winter barley, potato, sugar beet and maize) across 25 member countries of the European Union (EU25).
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TL;DR: Tao et al. as discussed by the authors developed a new process-based general crop model, MCWLA-Wheat, to model the impacts of weather and climate variability on crop productivity over a large area.
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TL;DR: In this paper, a modified Priestley-Taylor (PT) model was developed, incorporating the effect of leaf area, soil moisture, mulching fraction and leaf senescence on ET.
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TL;DR: Li et al. as mentioned in this paper developed a two-leaf light use efficiency (TL-LUE) model based on the MOD 17 algorithm to improve the calculation of GPP, which separates the canopy into sunlit and shaded leaf groups with different maximum light use efficiencies.
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TL;DR: Xylem and phloem formation phases were smaller in the second part of the growth season and can be ascribed to similar temperatures at both plots and year to year variability of the observed phases was not statistically significant.
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TL;DR: The response of vegetation growth to current climate change in Inner Asia (35-55°N, 45-120°E) was investigated by analyzing time series of the Normalized Difference Vegetation Index (NDVI) data from the Advanced Very High Resolution Radiometer (AVHRR) from 1982 to 2009 as discussed by the authors.
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TL;DR: In this article, the impact of the SRES-A1B 2030s climate on sorghum climatic suitability was analyzed and negative impacts were predicted by 2030s.
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TL;DR: In this article, the authors quantify the response of radial conifer stem size to environmental fluctuations via a novel assessment of tree circadian cycles, and show that changes in precipitation, temperature and cloud cover have a substantial effect on typical growing season diurnal cycles; amplitudes were nine times smaller on rainy days (>10mm), and daily amplitudes are approximately 40% larger when the mean daily temperature is 15-20°C than when it is 5-10°C.
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Environment Canada1, Harvard University2, United States Forest Service3, McMaster University4, University of British Columbia5, Ohio State University6, Indiana University7, Lawrence Berkeley National Laboratory8, Oak Ridge National Laboratory9, Oregon State University10, Laval University11, Queen's University12, San Diego State University13, Cooperative Institute for Research in Environmental Sciences14
TL;DR: In this article, the authors modified an accepted method for u* Th evaluation by incorporating change point-point-based filters, which can identify and remove the deficit periods using friction-velocity threshold filters.
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TL;DR: In this article, the authors measured an extensive data set of leaf angle distributions for 58 deciduous broadleaf tree species commonly found in temperate and boreal ecoclimatic regions.
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TL;DR: In this paper, the authors examined the uncertainty introduced to a crop impact assessment when 14 GCMs are used to determine future climate and found that the relative magnitude of impacts as simulated by each GCM was not consistent across countries and between crops.
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TL;DR: In this paper, the authors examine the tree-ring responses of Pinus halepensis subsp. brutia trees to a 30-year observation period and conclude that the most likely cause of tree mortality is chronic depletion of deeper moisture pools and hydraulic failure rather than C starvation.
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TL;DR: In this article, the authors investigate how variation in annual total, seasonal distribution and frequency of precipitation affect CO2 fluxes of semi-arid grassland in Inner Mongolia, and combine eddy-covariance measurements with a process-based model (ORCHIDEE).
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TL;DR: This paper outlines a methodology, based on a phenological model, for classifying the timing of flowering and veraison for a substantial number of varieties of the grapevine (Vitis vinifera L.).
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TL;DR: The study concludes that there are three possible main scenarios of changes that may simultaneously occur: the P. operculella damage potential will progressively increase in all regions where the pest already prevails today with an excessive increase in warmer cropping regions of the tropics and subtropics.