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Responses of maize with different growth periods to heat stress around flowering and early grain filling Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-03-06 Xin Dong; Ling Guan; Pihui Zhang; Xiaoli Liu; Shujun Li; Zhongjun Fu; Ling Tang; Zhiyun Qi; Zhenggao Qiu; Chuan Jin; Shoubing Huang; Hua Yang
High temperature around flowering and early grain filling greatly reduced maize yield. Hybrids responded differently to high temperature stress, but the underlying mechanisms are unclear, particularly from the perspective of growth season that is widely used to adapt different environments. For this, 162 maize inbred lines with different growing degree days (GDD) were planted at six different environments
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Effects of land-use change and drought on decadal evapotranspiration and water balance of natural and managed forested wetlands along the southeastern US lower coastal plain Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-03-06 Maricar Aguilos; Ge Sun; Asko Noormets; Jean-Christophe Domec; Steve McNulty; Michael Gavazzi; Kevan Minick; Bhaskar Mitra; Prajaya Prajapati; Yun Yang; John King
Forested wetlands are important in regulating regional hydrology and climate. However, long-term studies on the hydrologic impacts of converting natural forested wetlands to pine plantations are rare for the southern US. From 2005-2018, we quantified water cycling in two post-harvest and newly-planted loblolly pine (Pinus taeda) plantations (YP2–7, 2–7 yrs old; YP2–8, 2–8 yrs old), a rotation-age loblolly
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Ground and satellite phenology in alpine forests are becoming more heterogeneous across higher elevations with warming Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-03-06 Gourav Misra; Sarah Asam; Annette Menzel
The role of temperature as a key driver for plant phenology is well established. However, an increasing lack of winter chilling may strongly slow down spring phenological advances in the course of warming. Along elevational gradients in the mountains, differential changes in winter chilling as well as more homogeneous leaf unfolding due to warming have been observed. In this study, we analyzed the
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Estimates of methane emissions from Chinese rice fields using the DNDC model Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-03-02 Zhen Wang; Xiuying Zhang; Lei Liu; Shanqian Wang; Limin Zhao; Xiaodi Wu; Wuting Zhang; Xianjin Huang
Methane (CH4) emissions from rice fields across China were estimated using the DNDC (DeNitrification-DeComposition) model. The results showed that the CH4 emissions from Chinese rice fields in 2012 were estimated to be 8.20 Tg CH4 yr−1 (ranging from 4.80 to 11.40 Tg CH4 yr−1); the values from early, late, and single cropping rice were 1.12, 2.86, and 4.23 Tg CH4 yr−1. Rice fields in AEZ (agricultural
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Rainfall partitioning in the Cerrado and its influence on net rainfall nutrient fluxes Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-27 Kelly Cristina Tonello; Alexandra Guidelli Rosa; Luara Castilho Pereira; Gregorio Nolazco Matus; Manuel Enrique Gamero Guandique; Acacio Aparecido Navarrete
Quantitative studies on the water and nutrient enrichment of throughfall and stemflow in the Cerrado are lacking, especially among tree species. This work tested the hypothesis that the chemistry of rainfall fractions is altered after passing through the canopy and that the chemistry of stemflow can substantially change among tree species. We compared the nutrient concentrations in rainfall, throughfall
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Integrating chlorophyll fluorescence parameters into a crop model improves growth prediction under severe drought Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-25 Shanxiang Yu; Ningyi Zhang; Elias Kaiser; Gang Li; Dongsheng An; Qian Sun; Weiping Chen; Weihu Liu; Weihong Luo
Predicting biomass production is important for assessing yield losses caused by drought. Photosynthesis-driven crop growth models, such as SUCROS97, tend to overestimate crop production under severe drought, as they ignore slow post-drought recovery kinetics of leaf photosynthesis. In this study, Lilium plants (L. auratum × speciosum ‘Sorbonne’) were subjected to mild, intermediate and severe drought
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Evapotranspiration simulation from a sparsely vegetated agricultural field in a semi-arid agro-ecosystem using Penman-Monteith models Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-24 Douglas Nyolei; Jan Diels; Boniface Mbilinyi; Winfred Mbungu; Ann van Griensven
Increased competition for water resources for agriculture calls for improved water productivities. Improved water productivities must start with accurate estimation of crop evapotranspiration (ET). Accurate estimation of ET has been a challenge for sparsely vegetated crops especially under varying soil water conditions. In this paper, we aim to improve estimation of ET using the Penman-Monteith (PM)
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Block-level macadamia yield forecasting using spatio-temporal datasets Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-24 James Brinkhoff; Andrew J. Robson
Early crop yield forecasts provide valuable information for growers and industry to base decisions on. This work considers early forecasting of macadamia nut yield at the individual orchard block level with input variables derived from spatio-temporal datasets including remote sensing, weather and elevation. Yield data from 2012–2019, for 101 blocks belonging to 10 orchards, was obtained. We forecast
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Drought limits alpine meadow productivity in northern Tibet Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-23 Mingjie Xu; Tao Zhang; Yangjian Zhang; Ning Chen; Juntao Zhu; Yongtao He; Tingting Zhao; Guirui Yu
Under global climate change, warmer temperatures and changing precipitation patterns will increase the relative importance of soil and atmospheric droughts in limiting productivities across different ecosystems, especially in the fragile and sensitive ecosystem on the Tibetan Plateau. Therefore, the present study examined the effects of atmospheric drought, soil drought and compound drought on alpine
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Estimating ammonia emissions from cropland in China based on the establishment of agro-region-specific models Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-23 Hua Wu; Yunpeng Li; Zihao Xie; Jianfei Sun; Pete Smith; Kun Cheng; Pinhao Fan; Qian Yue; Genxing Pan
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Importance of calibration in determining forest stand transpiration using the thermal dissipation method Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-20 Naoya Fujime; Tomo'omi Kumagai; Tomohiro Egusa; Hiroki Momiyama; Yoshimi Uchiyama
Forest transpiration (Tr) is the major hydrologic flux from terrestrial ecosystems; it dominates the catchment water budget and land surface energy balance and can be used as an index of exchange efficiency between vegetation and the atmosphere. The thermal dissipation method (TDM) is used to obtain the xylem sap flux density (Fd) of individual tree stems; it is among the most powerful tools for estimating
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Modeling the dispersal of wind-borne pests: Sensitivity of infestation forecasts to uncertainty in parameterization of long-distance airborne dispersal Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-19 Tomasz E. Koralewski; Hsiao-Hsuan Wang; William E. Grant; Michael J. Brewer; Norman C. Elliott; John K. Westbrook
Modeling dispersal of wind-borne pests can be a valuable tool in a broader context of areawide integrated pest management. In such models both biotic and abiotic factors play important roles. Many aspects of the life cycle and dispersal of the focal species are typically well studied and represented with robust measures. However, some important assessments may be either lacking or based on difficult
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Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-16 Shangrong Wu; Peng Yang; Zhongxin Chen; Jianqiang Ren; He Li; Liang Sun
To further improve the yield estimation accuracy of regional winter wheat, based on En4DVar algorithm, an anisotropic background error and time window four-dimensional variation (ABT-4DVar) algorithm was constructed by introducing a variation time window. Based on a comparison with the simulated crop yield without data assimilation at a single point scale and in a typical test area, the effectiveness
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Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-14 Housen Chu; Xiangzhong Luo; Zutao Ouyang; W. Stephen Chan; Sigrid Dengel; Sébastien C. Biraud; Margaret S. Torn; Stefan Metzger; Jitendra Kumar; M. Altaf Arain; Tim J. Arkebauer; Dennis Baldocchi; Carl Bernacchi; Dave Billesbach; T. Andrew Black; Peter D. Blanken; Gil Bohrer; Rosvel Bracho; Donatella Zona
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Effects of drought on water use of seven tree species from four genera growing in a bottomland hardwood forest Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-15 Zeima Kassahun; Heidi J. Renninger
For floodplain forests such as bottomland hardwood forests, large fluctuations in moisture availability can lead to stress from both flooded as well as drought conditions. Likewise, these forests can be diverse in species composition and the water use and drought strategies of co-occurring species will impact surrounding hydrology, nutrient dynamics and productivity. Therefore, the objectives of this
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Comparing NH3 emissions under different cattle housing conditions in cold regions in China with an inverse dispersion technique Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-13 Wenhua Liao; Chunjing Liu; Shuyun Jia; Jianzhi Xie; Zhiling Gao
Accurately assessing ammonia (NH3) emissions from animal farms is necessary for determining the effectiveness of various mitigation practices to minimize related environmental risks and maximize the potential of recycling nitrogen from manure. This study attempted to validate a hypothesis formulated using a mass-flow inventory model, which suggested that "Barn only" housing facilities without open
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Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling Information on the coauthors Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-13 Linlin Zhang; Jiangbo Gao; Ze Tang; Kewei Jiao
Quantifying drought-induced ecosystem vulnerability, e.g. in terms of plant productivity, based on vulnerability curves and coupled processes is a frontier issue and a challenge in the field of climate change risk. Primary productivity vulnerability to drought varies among and within ecosystem types, obscuring generalized patterns of ecological stability. Thus, we constructed drought vulnerability
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Multi-year eddy covariance measurements of net ecosystem exchange in tropical dry deciduous forest of India Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-09 Suraj Reddy Rodda; Kiran Chand Thumaty; MSS Praveen; Chandra Shekhar Jha; Vinay Kumar Dadhwal
Tropical deciduous forests are unique in terms of their geographical distribution, strong seasonality and their contribution to global carbon dynamics, but yet their carbon sequestration potential is poorly sampled. In the current study, we report the carbon balance of 65-year-old tropical dry deciduous forest in central India using the multi-year eddy covariance measurements from November 2011 to
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Influence of disturbances and environmental changes on albedo in tropical peat ecosystems Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-09 Shinjiro Ohkubo; Takashi Hirano; Kitso Kusin
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Disaggregating the effects of nitrogen addition on gross primary production in a boreal Scots pine forest Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-06 Xianglin Tian; Francesco Minunno; Pauliina Schiestl-Aalto; Jinshu Chi; Peng Zhao; Matthias Peichl; John Marshall; Torgny Näsholm; Hyungwoo Lim; Mikko Peltoniemi; Sune Linder; Annikki Mäkelä
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Adaptive versus non-adaptive responses to drought in a non-native riparian tree / shrub, Tamarix spp Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-05 Susan E Bush; Jessica S Guo; Donna Dehn; Kevin C Grady; Julia B Hull; Emily Johnson; Dan F Koepke; Randall W Long; Dan L Potts; Kevin R Hultine
Rapidly colonizing species often thrive in a wide-range of conditions due to a high degree of phenotypic plasticity that results in populations of “general purpose” genotypes. Alternatively, species with high genetic variation could rapidly respond to forces of selection such that a local population evolves traits that provide an advantage in its local environment. We tested this generalist versus
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Characterizing the three-dimensional spatiotemporal variation of forest photosynthetically active radiation using terrestrial laser scanning data Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-07 Lixia Ma; Guang Zheng; Qing Ying; Steven Hancock; Weimin Ju; Dongsheng Yu
The three-dimensional (3-D) spatiotemporal distribution of forest canopy photosynthetically active radiation (PAR) is a major determinant of within-crown variations of leaf photosynthesis and transpiration. However, it remains challenging to map the 3-D spatiotemporal distribution of PAR within and under the forest canopy due to the limited ability to capture the detailed 3-D structures of forest canopies
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Only sun-lit leaves of the uppermost canopy exceed both air temperature and photosynthetic thermal optima in a wet tropical forest Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-06 Benjamin D. Miller; Kelsey R. Carter; Sasha C. Reed; Tana E. Wood; Molly A. Cavaleri
Tropical forests have evolved under relatively narrow temperature regimes, and therefore may be more susceptible to climatic change than forests in higher latitudes. Recent evidence shows that lowland tropical forest canopies may already be exceeding thermal maxima for photosynthesis. Height can strongly influence both the microclimate and physiology of forest canopy foliage, yet vertical trends in
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Cold acclimation and deacclimation in wild blueberry: Direct and indirect influence of environmental factors and non-structural carbohydrates Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-06 Annie Deslauriers; Léa Garcia; Guillaume Charrier; Valentinà Buttò; André Pichette; Maxime Paré
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Understanding the non-stationary relationships between corn yields and meteorology via a spatiotemporally varying coefficient model Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-04 Hao Jiang; Hao Hu; Bo Li; Zhe Zhang; Shaowen Wang; Tao Lin
The relationships between crop yields and meteorology are naturally non-stationary because of spatiotemporal heterogeneity. Many studies have examined spatial heterogeneity in the regression model, but only limited research has attempted to account for both spatial autocorrelation and temporal variation. In this article, we develop a novel spatiotemporally varying coefficient (STVC) model to understand
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Process-based analysis of Thinopyrum intermedium phenological development highlights the importance of dual induction for reproductive growth and agronomic performance Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-04 Olivier Duchene; Benjamin Dumont; Douglas J. Cattani; Laura Fagnant; Brandon Schlautman; Lee R. DeHaan; Spencer Barriball; Jacob M. Jungers; Valentin D. Picasso; Christophe David; Florian Celette
Intermediate wheatgrass (Thinopyrum intermedium (Host) Barkworth & D.R. Dewey) is being developed for use as a new perennial grain crop through breeding and agronomic research. However, progress has been hampered by lack of understanding of environmental requirements for flowering and grain production. Therefore, we developed a phenology model for IWG adapted from the STICS soil-crop model. The model
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Age-related water use characteristics of Robinia pseudoacacia on the Loess Plateau Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-03 Jian Wang; Bojie Fu; Lei Jiao; Nan Lu; Jianye Li; Weiliang Chen; Lixin Wang
Understanding water use characteristics of revegetation species is crucial for evaluating plant adaptability and guiding the sustainability of vegetation restoration in semiarid regions. Ecological restoration projects have been implemented for decades in degraded ecosystems, achieving significant changes in vegetation cover. However, water use characteristics of the main tree species at different
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Shifts in the thermal niche of fruit trees under climate change: The case of peach cultivation in France Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-02-01 C. Vanalli; R. Casagrandi; M. Gatto; D. Bevacqua
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Temperature responses of photosynthesis and stomatal conductance in rice and wheat plants Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-28 Guanjun Huang; Yuhan Yang; Lele Zhu; Shaobing Peng; Yong Li
The mechanisms for the different temperature (T) responses of leaf photosynthetic rate (A) and stomatal conductance (gs) have not been thoroughly elucidated, and the uncertainties and limitations facing the optimal-stomata models have not been systematically investigated. In the present study, the temperature responses of A, gs, and mesophyll conductance (gm) were studied in the selected rice and wheat
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Effects of anthropogenic revegetation on the water and carbon cycles of a desert steppe ecosystem Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-29 Lingtong Du; Yijian Zeng; Longlong Ma; Chenglong Qiao; Hongyue Wu; Zhongbo Su; Gang Bao
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Energy partitioning between plant canopy and soil, performance of the two-source energy balance model in a vineyard Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-28 D. Kool; W.P. Kustas; A. Ben-Gal; N. Agam
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Budburst date of Quercus petraea is delayed in mixed stands with Pinus sylvestris Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-25 Thomas Perot; Philippe Balandier; Camille Couteau; Nicolas Delpierre; Frédéric Jean; Sandrine Perret; Nathalie Korboulewsky
Climate change is impacting temperate tree species phenology, especially the timing of budburst, which is mainly driven by air temperature. However, interactions with biotic or other environmental factors also influence the timing of budburst and are usually overlooked. We studied the influence of forest stand composition on the budburst date of adult trees belonging to two species: sessile oak (Quercus
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Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: Application to a peatland during and after a hot drought Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-27 Julia Kelly; Natascha Kljun; Lars Eklundh; Leif Klemedtsson; Bengt Liljebladh; Per-Ola Olsson; Per Weslien; Xianghua Xie
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Biophysical control on nighttime sap flow in Salix psammophila in a semiarid shrubland ecosystem Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-27 Muhammad Hayat; Sundas Iqbal; Tianshan Zha; Xin Jia; Duo Qian; Charles P.-A. Bourque; Alamgir Khan; Yun Tian; Yujie Bai; Peng Liu; Ruizhi Yang
The impact of extreme desert conditions on long-term nighttime sap flow dynamics in desert-dwelling shrubs is poorly understood. Based on heat-balance measurements in a semiarid area of northwest China, we investigated the nighttime sap flow (transpiration) dynamics in Salix psammophila as affected by changes in site biophysical variables over a six-year period (2012-2017). Nocturnally, sap flow rate
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The effectiveness of a single Tamarix tree in reducing aeolian erosion in an arid region Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-23 Abbas Miri; Robin Davidson-Arnott
Although the effectiveness of windbreaks in reducing wind speed and sediment transport is highly dependent on the efficiency of individual elements, few field studies have evaluated the effectiveness of single plants typical of arid areas such as Tamarix. A series field experiments were conducted in the Niatak area of Sistan to assess the effectiveness of a single Tamarix tree in reducing wind speed
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Carbon budget response of an agriculturally used fen to different soil moisture conditions Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-23 Sonja Paul; Christof Ammann; Christine Alewell; Jens Leifeld
The agricultural use of peatlands usually requires drainage, thereby transforming these organic soils from a net carbon sink into a net source. The Seeland region of Switzerland is characterised by fens that have been intensively used for agriculture for 150 years. Our site is a degraded fen with a remaining peat layer of 60 cm that had been used as cropland until 2009. In connection to a nature protection
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Impacts of deep-rooted fruit trees on recharge of deep soil water using stable and radioactive isotopes Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-23 Peijun Shi; Yannan Huang; Wangjia Ji; Wei Xiang; Jaivime Evaristo; Zhi Li
Deep-rooted fruit trees mine more water from deep soils than their shallow-rooted counterparts. Understanding how deep soil water (DSW) is replenished and subsequently depleted by deep-rooted fruit trees, therefore, are important for informing sustainable water resources management particularly in arid regions. In this study, we collected soil samples from the surface down to 20 m under four land use
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Strong regional influence of climatic forcing datasets on global crop model ensembles Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-22 Alex C. Ruane; Meridel Phillips; Christoph Müller; Joshua Elliott; Jonas Jägermeyr; Almut Arneth; Juraj Balkovic; Delphine Deryng; Christian Folberth; Toshichika Iizumi; Roberto C. Izaurralde; Nikolay Khabarov; Peter Lawrence; Wenfeng Liu; Stefan Olin; Thomas A.M. Pugh; Cynthia Rosenzweig; Gen Sakurai; Hong Yang
We present results from the Agricultural Model Intercomparison and Improvement Project (AgMIP) Global Gridded Crop Model Intercomparison (GGCMI) Phase I, which aligned 14 global gridded crop models (GGCMs) and 11 climatic forcing datasets (CFDs) in order to understand how the selection of climate data affects simulated historical crop productivity of maize, wheat, rice and soybean. Results show that
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Solar energy dominates and soil water modulates net ecosystem productivity and evapotranspiration across multiple timescales in a subtropical coniferous plantation Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-21 Yakun Tang; Chang Jia; Lina Wang; Xuefa Wen; Huimin Wang
The timescale dependence of environmental factors’ influence on net ecosystem productivity (NEP), evapotranspiration (ET), and the effect of high and cool air temperature (Ta) across multiple timescales need to be quantified to identify the response mechanisms of forest ecosystems. We analyzed NEP and ET over 11 years in a subtropical coniferous plantation, and wavelet analysis was used to determine
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Contrasting adaptive strategies by Caragana korshinskii and Salix psammophila in a semiarid revegetated ecosystem Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-21 Ying Zhao; Li Wang; James Knighton; Jaivime Evaristo; Martin Wassen
Salix psammophila and Caragana korshinskii are pioneer species used for revegetating farmlands on the Loess Plateau. Understanding the water-use strategies and physiological characteristics of these two species are important for evaluating their adaptability in water-limited ecosystems. We used stable isotopes (D and 18O), physiological parameters (e.g. midday and predawn leaf water potential and stomatal
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Scaling Phenocam GCC, NDVI, and EVI2 with Harmonized Landsat-Sentinel using Gaussian Processes Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-19 Morgen W.V. Burke; Bradley C. Rundquist
The use of near-surface remote sensing for monitoring vegetation phenology has advanced greatly over the past decade. The Phenocam Network has deployed more than 500 web-enabled cameras across the globe that use digital repeat photography to capture color information and measure changes in vegetation phenology across diverse ecosystems. Vegetation indices (VIs) such as the Green Chromatic Coordinate
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Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-16 Diego Gómez; Pablo Salvador; Julia Sanz; José Luis Casanova
Wheat is one of the most important cereal crops in the world, and its demand is expected to increase about 60% by 2050. Thus, appropriate and reliable yield forecasts are fundamental to ensure price stability and food security around the globe. In this study, we developed a Machine Learning (ML) approach to combine satellite and climate data with antecedent wheat yield information (YieldBaseLine) from
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Biophysical models and meta-modelling to reduce the basis risk in index-based insurance: A case study on winter cereals in Italy Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-16 Sofia Tartarini; Fosco Vesely; Ermes Movedi; Luca Radegonda; Andrea Pietrasanta; Gianluca Recchi; Roberto Confalonieri
Agricultural insurance is crucial for transferring a significant portion of the risk due to unfavourable weather conditions outside the farm. Index-based insurances were proposed as an alternative to traditional products based on direct damage assessment because of their potential to reduce insurance costs while being unaffected by subjectivity during damage quantification. However, they may be affected
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Darker, cooler, wetter: forest understories influence surface fuel moisture Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-17 Bianca J Pickering; Thomas J Duff; Craig Baillie; Jane G Cawson
The moisture content of dead leaves, twigs and bark on the forest floor is a key determinant of fire behaviour. The microclimate inside forests, which drive the moisture content of these dead fuel components, is typically measured at screen height (150 cm). However, in some forest types, the surface fuel at ground level may be subject to additional sheltering from low shrubs, ferns and grasses, which
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Improving the global MODIS GPP model by optimizing parameters with FLUXNET data Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-14 Xiaojuan Huang; Jingfeng Xiao; Xufeng Wang; Mingguo Ma
The global gross primary productivity (GPP) product derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) is perhaps the most widely used GPP product. However, there is still a large uncertainty associated with the MODIS GPP product partly due to the uncertainty in the default Biome specified Parameters Look-Up Table (BPLUT) of the MODIS photosynthesis (PSN) model. Here, we used the
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Biophysical drivers of net ecosystem and methane exchange across phenological phases in a tidal salt marsh Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-12 Alma Vázquez-Lule; Rodrigo Vargas
Salt marshes are large carbon reservoirs as part of blue carbon ecosystems. Unfortunately, there is limited information about the net ecosystem (NEE) and methane (CH4) exchange between salt marshes and the atmosphere to fully understand their carbon dynamics. We tested the influence of biophysical drivers by plant phenological phases (i.e., Greenup, Maturity, Senescence and Dormancy) on NEE and CH4
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Precipitation rather than evapotranspiration determines the warm-season water supply in an alpine shrub and an alpine meadow Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-11 Hongqin Li; Fawei Zhang; Jingbin Zhu; Xiaowei Guo; Yikang Li; Li Lin; Leiming Zhang; Yongsheng Yang; Yingnian Li; Guangmin Cao; Huakun Zhou; Mingyuan Du
Alpine regions are generally referred to as water towers for the lowlands, yet the water balance has not been quantified for alpine catchments with different vegetation types. This paper presented a multi-year time series of evapotranspiration (ET) and water supply (precipitation minus ET) during the warm-season (June to September), measured using eddy covariance techniques for an upper alpine shrub
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Increasingly favourable winter temperature conditions for major crop and forest insect pest species in Switzerland Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-07 Léonard Schneider; Valentin Comte; Martine Rebetez
With global warming, recent winters in Switzerland have been milder than in previous decades, and this trend is predicted to continue. Survival during the cold season could increase for insect species sensitive to winter cold events. Forest pests, such as the pine processionary moth (Thaumetopoea pityocampa) and green spruce aphid (Elatobium abietinum), as well as some crop pests, such as the southern
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Spatial and temporal variations in the distribution of birch trees and airborne Betula pollen in Ireland Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-05 J.M. Maya-Manzano; C.A. Skjøth; M. Smith; P. Dowding; R. Sarda-Estève; D. Baisnée; E. McGillicuddy; G. Sewell; D.J. O'Connor
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An improved method to estimate actual vapor pressure without relative humidity data Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-05 Rangjian Qiu; Longan Li; Shaozhong Kang; Chunwei Liu; Zhenchang Wang; Edward P. Cajucom; Baozhong Zhang; Evgenios Agathokleous
Estimating actual vapor pressure (ea) without relative humidity (RH) data continues to draw research attention. One of the accurate ways to estimate ea is through estimation of dew point temperature (Tdew) from minimum (Tmin) or mean temperature (Tmean). Two existing methods have been largely used to estimate ea. The first method (method I) assumes that Tdew is close to Tmin. The other one (method
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Autumn Phenology and Its Covariation with Climate, Spring Phenology and Annual Peak Growth on the Mongolian Plateau Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-05 Gang Bao; Hugejiletu Jin; Siqin Tong; Jiquan Chen; Xiaojun Huang; Yuhai Bao; Changliang Shao; Urtnasan Mandakh; Mark Chopping; Lingtong Du
Using the normalized difference vegetation index (NDVI) and climate data, we calculated the end of the growing season (EOS; unit: day-of-year (DOY)) on the Mongolian Plateau and explored the effects of the climate, the start of the growing season (SOS), and the annual peak growth (APG, unit: NDVI) of vegetation and its timing (peak growth time, PGT) on the EOS for the period of 1982-2013. The spatial
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Responses of vegetation greenness and carbon cycle to extreme droughts in China Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-05 Ying Deng; Xuhui Wang; Kai Wang; Philippe Ciais; Shuchang Tang; Lei Jin; Lili Li; Shilong Piao
Increasing drought stress under climate change exerting large impacts on vegetation has aroused growing concern, yet how vegetation greenness and carbon cycle respond to extreme drought is not well understood. In this paper, we studied this issue with various data sources including satellite observation, flux sites upscaling estimation, atmospheric inversion, and Dynamic Global Vegetation Model (DGVM)
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Solar position confounds the relationship between ecosystem function and vegetation indices derived from solar and photosynthetically active radiation fluxes Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-01 Adrian V. Rocha; Rose Appel; M. Syndonia Bret-Harte; Eugenié S. Euskirchen; Verity Salmon; Gaius Shaver
Vegetation indices derived from solar and photosynthetically active radiation (PAR) sensors (i.e. radiation derived) have been under-utilized in inferring ecosystem function, despite measurement capability at hundreds of sites. This under-utilization may be attributed to reported mismatches among the seasonality of radiation- and satellite-derived vegetation indices and canopy photosynthesis; herein
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Radial growth responses of two dominant conifers to climate in the Altai Mountains, Central Asia Agric. For. Meteorol. (IF 4.651) Pub Date : 2021-01-01 Jian Kang; Shaowei Jiang; Jacques C. Tardif; Hanxue Liang; Shaokang Zhang; Jingye Li; Biyun Yu; Yves Bergeron; Sergio Rossi; Zhou Wang; Peng Zhou; Jian-Guo Huang
The boreal forests of Central Asia play a vital role in biodiversity protection and regional economic development. It is important to study potential changes in the growth dynamics of boreal species in a context of global change. In this study, we developed a network of 34 tree-ring chronologies for two tree species, Siberian larch (Larix sibirica Ledeb.) and Siberian pine (Pinus sibirica Du Tour)
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The chilling requirement of subtropical trees is fulfilled by high temperatures: A generalized hypothesis for tree endodormancy release and a method for testing it Agric. For. Meteorol. (IF 4.651) Pub Date : 2020-12-31 Rui Zhang; Jianhong Lin; Fucheng Wang; Sitian Shen; Xaiobin Wang; Ying Rao; Jiasheng Wu; Heikki Hänninen
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Differential response of rice evapotranspiration to varying patterns of warming Agric. For. Meteorol. (IF 4.651) Pub Date : 2020-12-31 Rangjian Qiu; Gabriel G. Katul; Jintao Wang; Junzeng Xu; Shaozhong Kang; Chunwei Liu; Baozhong Zhang; Longan Li; Edward P. Cajucom
Rice is a staple food crop that provides more calories to the global population than any other crop. Rice production is also a major consumer of fresh-water resources. Hence, changes in rice evapotranspiration (ETc) due to projected warming patterns is becoming necessary in any management of water resources and food security assessments. Here, air temperature (Ta) measurements from 1003 meteorological
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Disentangling the interactive effects of climate change and Phytophthora cinnamomi on coexisting Mediterranean tree species Agric. For. Meteorol. (IF 4.651) Pub Date : 2020-12-29 María Socorro Serrano; Francisco José Pérez; Lorena Gómez-Aparicio
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Optimal design for vegetative windbreaks using 3D numerical simulations Agric. For. Meteorol. (IF 4.651) Pub Date : 2020-12-25 Zhiyi Guo; Xiaofan Yang; Xiaoxu Wu; Xueyong Zou; Chunlai Zhang; Hui Fang; Hongxu Xiang
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Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America Agric. For. Meteorol. (IF 4.651) Pub Date : 2020-12-25 Wei He; Weimin Ju; Fei Jiang; Nicholas Parazoo; Pierre Gentine; Xiaocui Wu; Chunhua Zhang; Jiawen Zhu; Nicolas Viovy; Atul K. Jain; Stephen Sitch; Pierre Friedlingstein
Representations of the seasonal peak uptake of CO2 and climate extremes effects have important implications for accurately estimating annual magnitude and inter-annual variations of terrestrial carbon fluxes, however the consistency of such representations among different satellite models and process-based (PB) models remain poorly known. Here we investigated these issues over North America based on
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A Study on the Hydrothermal Regime of Aeolian Sand and the Underlying Soil in the Frozen Soil Zone on the Qinghai-Tibetan Plateau Agric. For. Meteorol. (IF 4.651) Pub Date : 2020-12-24 Luyang Wang; Guanli Jiang; Ziteng Fu; Yali Liu; Siru Gao; Hongting Zhao; Qingbai Wu
The hydrothermal process within the aeolian sand layer on the Qinghai-Tibetan Plateau (QTP) plays a key role in understanding the interaction between desertification and underlying frozen soil. However, little is known about the hydrothermal dynamics of aeolian sand and underling soil layer in the frozen soil zone on the QTP. In this study, a sparse vegetation cover site and three aeolian sand cover
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