Showing papers in "Agricultural and Forest Meteorology in 2022"

TL;DR: In this article , the authors used a water-carbon coupled biophysical model, Penman-Monteith-Leuning Version 2 (PML_V2), to characterize the variations in terrestrial evapotranspiration (ET) across the Tibetan Plateau (TP) during 1982-2016 and its drivers.

TL;DR: In this paper , the authors quantified the biophysical effects of shrub encroachment on regional climate in semi-arid areas of temperate regions of the Northern Hemisphere, and showed that shrub invasion tends to increase the average annual daytime and mean LST in most of the northern temperate semiarid region due to increased bare soil fraction.

TL;DR: In this paper , the authors investigate 21 light use efficiency (LUE) models reported in literatures and conclude their complicated evolutions in the aforementioned four components: 1) the representation of PAR was improved from total PAR to direct and diffuse PARs; 2) representation of FPAR, and 3) the parameterization of the maximum LUE were improved from a constant value of 0.39 gC/MJ to the C3/C4- and sunlit/shaded leaf-specific values.

TL;DR: In this paper , the authors estimated spatiotemporal changes in evapotranspiration and quantified its drivers in the Yellow River Basin (YRB) during the period of 1982-2016 using the modified Penman-Monteith-Leuning (PML) model by simply incorporating land use dynamics.

TL;DR: In this paper , a probabilistic crop yield prediction framework is presented, which employs the Bayesian Model Averaging (BMA) and a set of Copula functions to integrate the outputs of multiple deep neural networks, including the 3DCNN (3D Convolutional Neural Network) and ConvLSTM (Convolutional Long Short-Term Memory).

TL;DR: In this article , satellite-derived solar-induced chlorophyll fluorescence (SIF) data and vegetation indices were used to evaluate the impacts of the 2012 drought on crop productivity in the U.S. Midwest.

TL;DR: In this paper , the authors explored the consistency in phenological metrics derived from both remote sensing approaches (NDVI, EVI, NIRv, and SIF) and flux tower GPP at six plantations (two broadleaf forests (BF) and four coniferous forests (CF)) in eastern China over the period 2006-2020.

TL;DR: Wang et al. as mentioned in this paper evaluated the crop drought stress at a large spatiotemporal scale by using MODIS enhanced vegetation index (MODIS NDVI) and land surface temperature datasets to evaluate maize drought.

TL;DR: In this paper , the authors defined a new resilience indicator using an exponentially fitted curve to characterize the relationship between drought intensity and the corresponding recovery time, and the resilience was quantified by the curve area.

TL;DR: In this paper , the consistency of a set of meteorological and soil moisture drought indices has been analyzed using the linear relationship between them, and different classification methods (i.e., Decision Tree, K-Nearest Neighbors, Naïve Bayesian, Support Vector Machine, and Random Forest) are trained to identify the best representative of SSMI by considering the most consistent meteorological drought index with SSMI as target.

TL;DR: In this paper, the authors used machine learning approaches to identify the prevailing climatic and soil hydrological drivers of spatial and temporal yield variability of four crops, comprising 40 years yield data each from 351 counties in Germany.

TL;DR: In this paper , the authors used machine learning approaches to identify the prevailing climatic and soil hydrological drivers of spatial and temporal yield variability of four crops, comprising 40 years yield data each from 351 counties in Germany.

TL;DR: Wang et al. as discussed by the authors proposed a new detrended combined climatologic deviation index (Detrended-CCDI), and monitor drought over China from 2002 to 2017 on the basis of pixels on pixels.

TL;DR: In this article , a yield prediction approach that combines daily high-resolution CubeSat imagery with the APSIM crop model was explored, where a linear regression that relates simulated yield to simulated leaf area index (LAI) was used to identify the optimal regression date at which the LAI provides the best prediction of yield: in this case, approximately 14 weeks prior to harvest.

TL;DR: In this article, a yield prediction approach that combines daily high-resolution CubeSat imagery with the APSIM crop model was proposed to provide spatially explicit yield prediction early in the season, with good accuracy up to 21 days before the optimal regression date.

TL;DR: In this article , the authors used the Planet Fusion surface reflectance product to calculate daily, 3-m resolution, gap-free maps of the near-infrared radiation reflected from vegetation (NIRvP) for estimating canopy photosynthesis by comparing with data from a flux tower network in Sacramento-San Joaquin Delta, California, USA.

TL;DR: In this paper , the authors developed a hybrid crop modelling approach that coupled a process-based crop model with machine learning and systematically assessed the impacts of climate change on rice productivity for 36 representative cultivars in China.

TL;DR: In this paper , the disparity in unit irrigation water consumption (UIWC) of different cropping systems was quantified and the potential of TIWC reduction was estimated by optimizing the cultivated areas of 17 cropping system in each prefecture.

TL;DR: Random Forest Robust (RFR) as mentioned in this paper can accommodate a wide range of data gap sizes, multiple flux types (i.e. CO2, water and energy fluxes).

TL;DR: In this article, the disparity in unit irrigation water consumption (UIWC) of different cropping systems was quantified and the potential of TIWC reduction was estimated by optimizing the cultivated areas of 17 cropping system in each prefecture.

TL;DR: In this paper , the authors used the Planet Fusion surface reflectance product to calculate daily, 3-m resolution, gap-free maps of the near-infrared radiation reflected from vegetation (NIRvP), and compared with data from a flux tower network in Sacramento-San Joaquin Delta, California, USA.

TL;DR: Based on daily soil freezing/thawing depth data in Heilongjiang Province over the last 60 years, Mann-Kendall trend analysis, Sen's slope and Hurst exponent were performed to analyze the spatiotemporal characteristics of the soil freeze-thaw state.

TL;DR: Based on daily soil freezing/thawing depth data in Heilongjiang Province over the last 60 years, Mann-Kendall trend analysis, Sen's slope and Hurst exponent were performed to analyze the spatiotemporal characteristics of the soil freeze-thaw state, and the effects of nonclimatic factors "land use types" and snow cover on the change in the soil Freeze-Thaw state were discussed as discussed by the authors .

TL;DR: In this paper , the authors collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors.

TL;DR: In this paper, the authors collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors.

TL;DR: In this paper , a simple technique to simultaneously partition ET and CO2 fluxes is proposed, and an intercomparison against two other methods is performed, including Modified Relaxed Eddy Accumulation and Flux-Variance Similarity (FVS) models.

TL;DR: In this paper , the authors used a pairwise comparison approach to examine biophysical effects of rice expansion at different temporal scales (diurnal and seasonal) in northeast China, based on satellite-derived biophysical proxies and a high-resolution crop map in 2017.

TL;DR: Wang et al. as discussed by the authors investigated the response of wheat phenology to recent climate warming, how wheat responded to asymmetric warming, and how different drivers affected wheat phenotype change.

TL;DR: In this article, the effects of three stressors (drought, heat, and drought plus heat) at flowering phase (from tasseling to seed setting completed) on maize kernel filling in field site plots covered with a rainout shelter and under laboratory conditions with kernel in vitro culture were investigated.

TL;DR: In this paper , the water uptake depths and water use-related leaf traits of three dominant canopy tree species at different ages were investigated in a subtropical forest (2018-2019) and found that the δ2H and δ18O of various water pools, such as fog, soil, stream, lake, and groundwater, plotted almost entirely on the local meteoric water lines.