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Plant phenology depends largely on temperature, but temperature alone cannot explain the Northern Hemisphere shifts in the start of the growing season (SOS). The spatio–temporal distribution of SOS sensitivity to climate variability has also changed in recent years. We applied the partial least squares regression (PLSR) method to construct a standardized SOS sensitivity evaluation index and analyzed the combined effects of air temperature (Tem), water balance (Wbi), radiation (Srad), and previous year’s phenology on SOS. The spatial and temporal distributions of SOS sensitivity to Northern Hemisphere climate change from 1982 to 2014 were analyzed using time windows of 33 and 15 years; the dominant biological and environmental drivers were also assessed. The results showed that the combined sensitivity of SOS to climate change (SCom) is most influenced by preseason temperature sensitivity. However, because of the asymmetric response of SOS to daytime/night temperature (Tmax/Tmin) and non-negligible moderating of Wbi and Srad on SOS, SCom was more effective in expressing the effect of climate change on SOS than any single climatic factor. Vegetation cover (or type) was the dominant factor influencing the spatial pattern of SOS sensitivity, followed by spring temperature (Tmin > Tmax), and the weakest was water balance. Forests had the highest SCom absolute values. A significant decrease in the sensitivity of some vegetation (22.2%) led to a decreasing trend in sensitivity in the Northern Hemisphere. Although temperature remains the main climatic factor driving temporal changes in SCom, the temperature effects were asymmetric between spring and winter (Tems/Temw). More moisture might mitigate the asymmetric response of SCom to spring/winter warming. Vegetation adaptation has a greater influence on the temporal variability of SOS sensitivity relative to each climatic factor (Tems, Temw, Wbi, Srad). More moisture might mitigate the asymmetric response of SCom to spring/winter warming. This study provides a basis for vegetation phenology sensitivity assessment and prediction.
Kaiwei Li; Chunyi Wang; Qing Sun; Guangzhi Rong; Zhijun Tong; Xingpeng Liu; Jiquan Zhang. Spring Phenological Sensitivity to Climate Change in the Northern Hemisphere: Comprehensive Evaluation and Driving Force Analysis. Remote Sensing 2021, 13, 1972 .
AMA StyleKaiwei Li, Chunyi Wang, Qing Sun, Guangzhi Rong, Zhijun Tong, Xingpeng Liu, Jiquan Zhang. Spring Phenological Sensitivity to Climate Change in the Northern Hemisphere: Comprehensive Evaluation and Driving Force Analysis. Remote Sensing. 2021; 13 (10):1972.
Chicago/Turabian StyleKaiwei Li; Chunyi Wang; Qing Sun; Guangzhi Rong; Zhijun Tong; Xingpeng Liu; Jiquan Zhang. 2021. "Spring Phenological Sensitivity to Climate Change in the Northern Hemisphere: Comprehensive Evaluation and Driving Force Analysis." Remote Sensing 13, no. 10: 1972.
An important component in improving the quality of forests is to study the interference intensity of forest fires, in order to describe the intensity of the forest fire and the vegetation recovery, and to improve the monitoring ability of the dynamic change of the forest. Using a forest fire event in Bilahe, Inner Monglia in 2017 as a case study, this study extracted the burned area based on the BAIS2 index of Sentinel-2 data for 2016–2018. The leaf area index (LAI) and fractional vegetation cover (FVC), which are more suitable for monitoring vegetation dynamic changes of a burned area, were calculated by comparing the biophysical and spectral indices. The results showed that patterns of change of LAI and FVC of various land cover types were similar post-fire. The LAI and FVC of forest and grassland were high during the pre-fire and post-fire years. During the fire year, from the fire month (May) through the next 4 months (September), the order of areas of different fire severity in terms of values of LAI and FVC was: low > moderate > high severity. During the post fire year, LAI and FVC increased rapidly in areas of different fire severity, and the ranking of areas of different fire severity in terms of values LAI and FVC was consistent with the trend observed during the pre-fire year. The results of this study can improve the understanding of the mechanisms involved in post-fire vegetation change. By using quantitative inversion, the health trajectory of the ecosystem can be rapidly determined, and therefore this method can play an irreplaceable role in the realization of sustainable development in the study area. Therefore, it is of great scientific significance to quantitatively retrieve vegetation variables by remote sensing.
Aru Han; Song Qing; Yongbin Bao; Li Na; Yuhai Bao; Xingpeng Liu; Jiquan Zhang; Chunyi Wang. Short-Term Effects of Fire Severity on Vegetation Based on Sentinel-2 Satellite Data. Sustainability 2021, 13, 432 .
AMA StyleAru Han, Song Qing, Yongbin Bao, Li Na, Yuhai Bao, Xingpeng Liu, Jiquan Zhang, Chunyi Wang. Short-Term Effects of Fire Severity on Vegetation Based on Sentinel-2 Satellite Data. Sustainability. 2021; 13 (1):432.
Chicago/Turabian StyleAru Han; Song Qing; Yongbin Bao; Li Na; Yuhai Bao; Xingpeng Liu; Jiquan Zhang; Chunyi Wang. 2021. "Short-Term Effects of Fire Severity on Vegetation Based on Sentinel-2 Satellite Data." Sustainability 13, no. 1: 432.
Climate change has a distinct impact on agriculture in China, particularly in the northeast, a key agriculture area sensitive to extreme hydroclimate events. Using monthly climate and agriculture data, the influence of drought on maize and soybean yields—two of the main crops in the region—in northeast China since 1961 to 2017 were investigated. The results showed that the temperature in the growing season increased by 1.0 °C from the period 1998–2017 to the period 1961–1980, while the annual precipitation decreased slightly. However, precipitation trends varied throughout the growing season (May–September), increasing slightly in May and June, but decreasing in July, August and September, associated with the weakening of the East Asian summer monsoon. Consequently, the annual and growing season drought frequency increased by 15%, and 25%, respectively, in the period 1998–2017 relative to the period 1961–1980. The highest drought frequency (55%) was observed in September. At the same time, the drought intensity during the growing season increased by 7.8%. The increasing frequency and intensity of drought had negative influences on the two crops. During moderate drought years in the period 1961–2017, 3.2% and 10.4% of the provincial maize and soybean yields were lost, respectively. However, during more severe drought years, losses doubled for soybean (21.8%), but increased more than four-fold for maize (14.0%). Moreover, in comparison to the period 1961–1980, a higher proportion of the yields were lost in the period 1998–2017, particularly for maize, which increased by 15% (increase for soybean was 2.4%). This change largely depends on increasing droughts in August and September, when both crops are in their filling stages. The impact of drought on maize and soybean production was different during different growth stages, where a strong relationship was noted between drought and yield loss of soybean in its filling stage. Given the sensitivity of maize and soybean yields in northeast China to drought, and the observed production trends, climate change will likely have significant negative impacts on productivity in the future.
Chunyi Wang; Hans W. Linderholm; Yanling Song; Fang Wang; Yanju Liu; Jinfeng Tian; Jinxia Xu; Yingbo Song; Guoyu Ren. Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades. International Journal of Environmental Research and Public Health 2020, 17, 2459 .
AMA StyleChunyi Wang, Hans W. Linderholm, Yanling Song, Fang Wang, Yanju Liu, Jinfeng Tian, Jinxia Xu, Yingbo Song, Guoyu Ren. Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades. International Journal of Environmental Research and Public Health. 2020; 17 (7):2459.
Chicago/Turabian StyleChunyi Wang; Hans W. Linderholm; Yanling Song; Fang Wang; Yanju Liu; Jinfeng Tian; Jinxia Xu; Yingbo Song; Guoyu Ren. 2020. "Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades." International Journal of Environmental Research and Public Health 17, no. 7: 2459.
Frequent droughts and waterlogging events are a threat to food security. An understanding of the spatial and temporal variations that occur during such events is essential when conducting a regional and/or global drought and waterlogging assessment. The goal of this study is to define a comprehensive index that considers the continuum system of atmosphere, crops, and soil moisture impacts on droughts and waterlogging events, and to analyze the temporal and spatial distribution of such events in the development of maize. The results show that the proposed comprehensive drought and waterlogging index (CDWI) can bring together the advantages of a single drought and waterlogging index and reasonably describe its range. During the study period, the annual trends of the CDWI decreased at different growth stages from 1982 to 2015, whereas the CDWI did not show significant spatial heterogeneity during any particular stage. Increasing trends of CDWI over 0.019/year were found in the northern part of Midwestern Jilin Province from the emergence to tasseling stages. In addition, decreasing trends were observed in the study area from the tasseling to maturation stages. Slight drought and waterlogging events occurred more frequently than moderate and serious drought and waterlogging events.
Rui Wang; Jiquan Zhang; Chunyi Wang; Enliang Guo. Characteristic Analysis of Droughts and Waterlogging Events for Maize Based on a New Comprehensive Index through Coupling of Multisource Data in Midwestern Jilin Province, China. Remote Sensing 2019, 12, 60 .
AMA StyleRui Wang, Jiquan Zhang, Chunyi Wang, Enliang Guo. Characteristic Analysis of Droughts and Waterlogging Events for Maize Based on a New Comprehensive Index through Coupling of Multisource Data in Midwestern Jilin Province, China. Remote Sensing. 2019; 12 (1):60.
Chicago/Turabian StyleRui Wang; Jiquan Zhang; Chunyi Wang; Enliang Guo. 2019. "Characteristic Analysis of Droughts and Waterlogging Events for Maize Based on a New Comprehensive Index through Coupling of Multisource Data in Midwestern Jilin Province, China." Remote Sensing 12, no. 1: 60.
The Tibetan plateau is one of the most sensitive areas in China and has been significantly affected by global warming. From 1961 to 2017, the annual air temperature increased by 0.32 °C/decade over the Tibetan Plateau, which is the highest in the whole of China. Furthermore, this is a trend that is projected to continue by 0.30 °C/decade from 2018 to 2050 due to global warming using the Regional Climate Model version 4 (RegCM4). The increased temperature trend in recent decades has been highest in winter, which has been positive for the safe dormancy of winter wheat. In order to investigate agricultural adaptation to climate change in the Tibetan plateau, we used the World Food Studies (WOFOST) cropping systems model and weather data from the regional climate model RegCM4, to simulate winter wheat production in Guide county between 2018 and 2050. The simulated winter wheat potential yields amounted to 6698.3 kg/ha from 2018 to 2050, which showed the wheat yields would increase by 81%, if winter wheat was planted instead of spring wheat in the Tibetan Plateau with the correct amount of irrigation water. These results indicate that there are not only risks to crop yields from climate change, but also potential benefits. Global warming introduced the possibility to plant winter wheat instead of spring wheat over the Tibetan Plateau. These findings are very important for farmers and government agencies dealing with agricultural adaptation in a warmer climate.
Yanling Song; Chunyi Wang; Hans W. Linderholm; Jinfeng Tian; Ying Shi; Jinxia Xu; Yanju Liu. Agricultural Adaptation to Global Warming in the Tibetan Plateau. International Journal of Environmental Research and Public Health 2019, 16, 3686 .
AMA StyleYanling Song, Chunyi Wang, Hans W. Linderholm, Jinfeng Tian, Ying Shi, Jinxia Xu, Yanju Liu. Agricultural Adaptation to Global Warming in the Tibetan Plateau. International Journal of Environmental Research and Public Health. 2019; 16 (19):3686.
Chicago/Turabian StyleYanling Song; Chunyi Wang; Hans W. Linderholm; Jinfeng Tian; Ying Shi; Jinxia Xu; Yanju Liu. 2019. "Agricultural Adaptation to Global Warming in the Tibetan Plateau." International Journal of Environmental Research and Public Health 16, no. 19: 3686.