scholarly journals Long-Term Dynamic of Cold Stress during Heading and Flowering Stage and Its Effects on Rice Growth in China

Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 103
Author(s):  
Zhenwang Li ◽  
Zhengchao Qiu ◽  
Haixiao Ge ◽  
Changwen Du
Keyword(s):  
Cold Stress ◽  
Yield Component ◽  
Growth And Yield ◽  
Spatial And Temporal Variability ◽  
Potential Threat ◽  
Study Region ◽  
Growing Period ◽  
Rice Growth ◽  
Extreme Cold ◽  
Increasing Temperature

Short episodes of low-temperature stress during reproductive stages can cause significant crop yield losses, but our understanding of the dynamics of extreme cold events and their impact on rice growth and yield in the past and present climate remains limited. In this study, by analyzing historical climate, phenology and yield component data, the spatial and temporal variability of cold stress during the rice heading and flowering stages and its impact on rice growth and yield in China was characterized. The results showed that cold stress was unevenly distributed throughout the study region, with the most severe events observed in the Yunnan Plateau with altitudes higher than 1800 m. With the increasing temperature, a significant decreasing trend in cold stress was observed across most of the three ecoregions after the 1970s. However, the phenological-shift effects with the prolonged growing period during the heading and flowering stages have slowed down the cold stress decreasing trend and led to an underestimation of the magnitude of cold stress events. Meanwhile, cold stress during heading and flowering will still be a potential threat to rice production. The cold stress-induced yield loss is related to both the intensification of extreme cold stress and the contribution of related components to yield in the three regions.

scholarly journals Winter UTCI variability in Poland in the 21st century

2020 ◽  
Vol 24 (3) ◽  
pp. 128-137
Author(s):  
Sylwester Wereski ◽  
Agnieszka Krzyżewska ◽  
Mateusz Dobek
Keyword(s):  
Cold Stress ◽  
21St Century ◽  
Coastal Region ◽  
Spatial And Temporal Variability ◽  
Mountain Areas ◽  
Mountain Area ◽  
North East ◽  
Carpathian Region ◽  
East Region ◽  
Extreme Cold

AbstractThe study analyses spatial and temporal variability of the UTCI index during winter seasons in Poland in the 21st century. The most frequent UTCI thermal stress category was moderate cold stress with a frequency varying from 45.8% in Łeba (Coastal region) to 66.1% in Zielona Góra (Central region). In mountain areas, this class was less frequent (7.312.3%). The second most frequent class was strong cold stress with values from 11.1% in Zakopane (Carpathian region) to 43.4% in Suwałki (North-East region). In mountain areas, very strong cold stress and extreme cold stress occurred frequently (25.0-35.5% and 17.7-52.0%, respectively). Few cases of extreme cold stress were observed on other Polish stations. Thermoneutral zone was not recorded in the mountain area, although on other Polish stations its frequency ranged from 0.1% in Chojnice, Suwałki and Białystok located in northern part of Poland to 4.3% in Zakopane (Carpathian region).

scholarly journals Effect of mineral and organic amendments on rice growth and yield in saline soils

2021 ◽  
Author(s):  
Reina Concepción Medina Litardo ◽  
Sady Javier García Bendezú ◽  
Manuel Danilo Carrillo Zenteno ◽  
Iris Betzaida Pérez-Almeida ◽  
Laura Lucia Parismoreno ◽  
...  
Keyword(s):  
Organic Amendments ◽  
Growth And Yield ◽  
Saline Soils ◽  
Rice Growth

scholarly journals Phenological Analysis of Sub-Alpine Forest on Jeju Island, South Korea, Using Data Fusion of Landsat and MODIS Products

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 286
Author(s):  
Sang-Jin Park ◽  
Seung-Gyu Jeong ◽  
Yong Park ◽  
Sang-hyuk Kim ◽  
Dong-kun Lee ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Data Fusion ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Fusion Model ◽  
Fusion Algorithm ◽  
Study Region ◽  
Modis Imagery ◽  
Increasing Temperature

Climate change poses a disproportionate risk to alpine ecosystems. Effective monitoring of forest phenological responses to climate change is critical for predicting and managing threats to alpine populations. Remote sensing can be used to monitor forest communities in dynamic landscapes for responses to climate change at the species level. Spatiotemporal fusion technology using remote sensing images is an effective way of detecting gradual phenological changes over time and seasonal responses to climate change. The spatial and temporal adaptive reflectance fusion model (STARFM) is a widely used data fusion algorithm for Landsat and MODIS imagery. This study aims to identify forest phenological characteristics and changes at the species–community level by fusing spatiotemporal data from Landsat and MODIS imagery. We fused 18 images from March to November for 2000, 2010, and 2019. (The resulting STARFM-fused images exhibited accuracies of RMSE = 0.0402 and R2 = 0.795. We found that the normalized difference vegetation index (NDVI) value increased with time, which suggests that increasing temperature due to climate change has affected the start of the growth season in the study region. From this study, we found that increasing temperature affects the phenology of these regions, and forest management strategies like monitoring phenology using remote sensing technique should evaluate the effects of climate change.

STICS crop model and Sentinel-2 images for monitoring rice growth and yield in the Camargue region

2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Dominique Courault ◽  
Laure Hossard ◽  
Valérie Demarez ◽  
Hélène Dechatre ◽  
Kamran Irfan ◽  
...  
Keyword(s):  
Crop Model ◽  
Growth And Yield ◽  
Rice Growth ◽  
Sentinel 2

Modeling the Effects of Water Temperature on Rice Growth and Yield under a Cool Climate: I. Model Development

2007 ◽  
Vol 99 (5) ◽  
pp. 1327-1337 ◽  
Author(s):  
Hiroyuki Shimono ◽  
Toshihiro Hasegawa ◽  
Kazuto Iwama
Keyword(s):  
Water Temperature ◽  
Model Development ◽  
Growth And Yield ◽  
Rice Growth ◽  
Cool Climate

scholarly journals Review on Effects of Sowing Methods and Types of Inorganic Fertilizers on Growth Yield and Yield Component of TEFF [Eragrostis TEF (ZUCC.)

2021 ◽  
Vol 1 (3) ◽  
pp. 229-236
Author(s):  
Damte Balcha Gadana
Keyword(s):  
Soil Fertility ◽  
Yield Components ◽  
Growth Yield ◽  
Yield Component ◽  
Growth And Yield ◽  
Eragrostis Tef ◽  
Total Biomass ◽  
Inorganic Fertilizers ◽  
Biomass Yields ◽  
Planting Method

Most farmers’ practices broadcast sowing methods and productivity is less. Soil fertility maintenance is a major concern in tropical Africa which needs to tackle soil fertility depletion as a fundamental constraint. Similarly, the traditional way of planting tef reduces the amount of grain production, promotes competition for inputs, and causes severe lodging. This paper aimed to review the interaction effects between seed sowing methods and different types of inorganic fertilizers on the growth and yield of teff. In Ethiopia, recent research indicates planting method (row planting and broadcasting) affects the yield and yield components of teff. The review indicates the yield components include heading and maturity, plant height, first growth rate, number of tiller and panicle, thousand seed weight, grain, straw, and total biomass yields and harvest index high in Method of Row sowing compared to broadcast in Ethiopia but Days to emergence and panicle length were more affected by broadcasting. In economical acceptance, Row sowing was found to be economically acceptable with more income from grain yield than broadcasting.

scholarly journals Bioclimatic Conditions of Paris, Rome and Budapest on the Basis of the Universal Thermal Climate Index

2010 ◽  
Vol 14 (1) ◽  
pp. 103-109 ◽  
Author(s):  
Danuta Idzikowska
Keyword(s):  
Thermal Stress ◽  
Cold Stress ◽  
Extreme Values ◽  
Climate Index ◽  
Universal Thermal Climate Index ◽  
European Cities ◽  
Thermal Climate ◽  
Extreme Cold ◽  
Bioclimatic Conditions ◽  
One Way Anova

Abstract The aim of this study was to examine the main features of the bioclimatic conditions of three European cities using a new Universal Thermal Climate Index. Daily values of meteorological variables for 12 UTC for the cities for 1990-2001 were used in the study. Using the frequency of UTCI and one-way Anova, the results showed that in all the three cities “no thermal stress” dominated throughout the year. “Extreme” values of heat as well as “cold stress” were observed but in none of the cities “extreme cold stress” occurred. The values of UTCI differed for all the three cities in each studied year. The cities differed from each other in each month during the whole year with the exception of spring - March and April.

Integrating remote sensing and climate data with process-based models to map forest productivity within west-central Alberta's boreal forest: Ecoleap-West

2006 ◽  
Vol 82 (2) ◽  
pp. 159-176 ◽  
Author(s):  
R J Hall ◽  
F. Raulier ◽  
D T Price ◽  
E. Arsenault ◽  
P Y Bernier ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Management Practices ◽  
Forest Productivity ◽  
Process Models ◽  
Growth And Yield ◽  
Area Index ◽  
Study Region

Forest yield forecasting typically employs statistically derived growth and yield (G&Y) functions that will yield biased growth estimates if changes in climate seriously influence future site conditions. Significant climate warming anticipated for the Prairie Provinces may result in increased moisture deficits, reductions in average site productivity and changes to natural species composition. Process-based stand growth models that respond realistically to simulated changes in climate can be used to assess the potential impacts of climate change on forest productivity, and hence can provide information for adapting forest management practices. We present an application of such a model, StandLEAP, to estimate stand-level net primary productivity (NPP) within a 2700 km2 study region in western Alberta. StandLEAP requires satellite remote-sensing derived estimates of canopy light absorption or leaf area index, in addition to spatial data on climate, topography and soil physical characteristics. The model was applied to some 80 000 stand-level inventory polygons across the study region. The resulting estimates of NPP correlate well with timber productivity values based on stand-level site index (height in metres at 50 years). This agreement demonstrates the potential to make site-based G&Y estimates using process models and to further investigate possible effects of climate change on future timber supply. Key words: forest productivity, NPP, climate change, process-based model, StandLEAP, leaf area index, above-ground biomass

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