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Athermal, Chemically Induced Launch of RNA via Thioester Nucleic Acids.
mosseae could increase the abundance and secretory activity of glandular hairs and promote the synthesis of aroma substances in tobacco leaves.The basin region of nine highland lakes plays an important role in the economic development of Yunnan Province, in which, the basin region of the five lakes (Dianchi, Fuxianhu, Xingyunhu, Qiluhu and Yangzonghai Lake, hereinafter was called Five-lake Basin) locating in the central region of Yunnan Province is the most active economic and social development area of industry, agriculture and tourism, closely related to the eco-environmental quality of the whole basin. In this study, the eco-environmental quality of the Five-lake Basin from 1988 to 2018 was monitored and evaluated based on remote sensing ecological index (RSEI). The results showed that although the eco-environmental quality in this area had a trend of turning better from 1988 to 2018, with the mean value of RSEI increasing from 0.368 to 0.481, whereas the overall eco-environmental quality of the basin was poor. The area with improved eco-environmental quality accounted for 57.6%, which was mainly distributed in the mountains between lakes, while the declining area was mainly the flat area around the lake. The eco-environmental quality of Dianchi Lake, Fuxianhu Lake, and Yangzonghai Lake was improved during the study period, but the eco-environmental quality of Qiluhu Lake and Xingyunhu Lake deteriorated obviously in the last 10 years. The change of eco-environmental quality in each lake was consistent with the change of water quality. click here In the future, the improvement of eco-environmental quality needs more social attention and government investment.The Bailongjiang watershed of Gansu is an important water conservation and ecological barrier area in the upper reaches of Yangtze River. It is necessary to reveal the tradeoffs and synergies of ecosystem services (ESs) for the "win-win" of watershed ecological system and social eco-nomy development. Based on the InVEST model, four typical ESs including soil conservation (SC), water conservation (WC), food supply (FS), and habitat quality (HQ) were assessed, and the multi-scale tradeoffs and synergies of ESs and its drivers were analyzed by correlation and root mean square deviation (RMSD). The results showed that there were significant synergies among SC, WC, and HQ, and a significant tradeoff between FS and HQ, SC, WC, respectively. The areas with high tradeoff intensity between the three pairs of synergistic services (SC-WC, SC-HQ, WC-HQ), and between FS and HQ were mainly concentrated in the steep forest area of middle-high mountain in Wenxian, Diebu and Zhouqu. The high intensity of tradeoffs between FS-SC, FS-WC were mainly concentrated in the gentle apricus farming and pastoral areas of middle-low mountain in Tanchang and Wudu. The spatial variation of land use/cover caused by human activities was an important factor affecting the degree of ES tradeoffs and its scale effect.Habitat quality is an important index to evaluate regional ecological security. Revealing its spatial and temporal responses to urbanization is conducive to the in-depth implementation of new urbanization. Based on land use data, we analyzed the spatio-temporal characteristics of Changchun's landscape pattern, habitat quality and its sample zone from the grid scale with comprehensive utilization of spatial analysis and ecological model analysis. We further discussed the responses of habitat quality during urbanization. The results showed that the low values of patch density (PD), edge density (ED) and Shannon diversity index (SHDI) were distributed in the western plains, while the high aggregation index (AI) showed a patchy distribution in eastern and southern of the city. During 2000-2015, the habitat quality of Changchun showed a trend of degradation and significant spatial heterogeneity, showing a distribution of "high in the east, and low in the west". The expansion of construction land and the transportaecological infrastructure construction.To analyze the climatic characteristics of snow resources and quantitatively evaluate the climatic suitability of skiing, we proposed the concept of theoretical snow period from the perspective of climate based on the synoptic principle. We set threshold values of different suitability degrees of three indices closely related to skiing, including air temperature, wind speed, and precipitation. The conversion function of each index was designed after normalization. Based on grey relational theory and Euclidean distance method, we established evaluation model of ski sports climate suitability index, with Changbai Mountain Ski Resort as an example. The results showed that snow resource in Changbai Mountain area was rich. From 1981 to 2018, the average snowfall during the theoretical snow period was 64.6 mm. Under the background of climate change, the average number of snow days and snowfall decreased slightly over the years, with the starting time of snow season being delayed and the ending time being advanced. The number of snow days in the early winter (from the starting time of snow season to the end of December) was significantly less than that in the later winter (from the next January to the end of snow season). Climate in Changbai Mountain was highly suitable for skiing during the snow period. The most suitable and relatively suitable days with respect to air temperature, wind speed and precipitation accounted for 91.9%, 91.8%, and 94.6% of the total, respectively. The cumulative number of days for ski comprehensive weather suita-bility accounted for 99.7%, indicating that most days were suitable for skiing. The concept of theoretical snow period in this study had made up for the problems caused by the lack of meteorological observation data of the first and last snow event on the study of snow resources. The climate suitabi-lity evaluation model of skiing could help make management decision for the development and operation of ski resorts and scientific support for skiing enthusiasts.Taiwan green jujube (Ziziphus mauritiana) is a new fruit variety, with remarkable economic benefit. To achieve high quality and high yield of jujube in Fujian Province, we quantified the climate suitability model parameters of the jujube in main production areas of Fujian, and analyzed climate suitability characteristics and change trend of main production areas, based on the yield and meteorological data, combined with literature and phenological observation data and agricultural climate suitability model. The results showed that the model based on the equal weight summation method had the highest reliability. The climate suitability of jujube in main production areas of Fujian was higher, with most years being suitable or much suitable. From 1996 to 2013, the influence of climate conditions on jujube growth was generally in a good trend, which was conducive to the development of jujube production. The suitability of the main production areas in the whole growing season was ranked as temperature suitability>comprehensive climate suitability>sunshine suitability>precipitation suitability. September and October are the key period of water management. Our results are important in guiding production management and long-term planning of Taiwan green jujube in Fujian Province.To explore the impacts of future climate change on spring phenology stages (first leaf storey expansion stage, spring flowering stage) of rubber tree in Hainan Island, we established a rubber tree spring phenology simulation model based on the crop clock model and developed a computer software RubberSP. The model simulation accuracy was examined with experimental observed phenology data. Five global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5) were integrated using Bayesian Model averaging method (BMA) to predict the impacts of climate change on the spring phenology of rubber tree in 2020-2099 (relative to 1986-2017) under climate scenarios of RCP2.6, RCP4.5 and RCP8.5, respectively. The results showed that the RubberSP model had good simulation accuracy, with the determination coefficient (R2) values ranging between 0.73-0.87, the root mean square error (RMSE) ranging from 3.26 to 4.15 d, and the normalized root mean square error (NRMSE) of 3.4%-7.4% between measured and simulated phenology stages. The uncertainty of a single GCM could be avoided by BMA method, which could better reflect the change trend of temperature. Temperature of Hainan Island in the end of 21 century, under the scenarios of RCP2.6, RCP4.5 and RCP8.5, would increase by more than 0.3, 1.0 and 2.5 ℃ compared with the baseline, respectively. The spring phenology stages would appear earlier and yield would increase in the future climate scenario. The time isoline of spring phenology stages would move forward to northwest, which indicated that most suitable area for rubber tree plantation in Hainan Island would expand to the northwest. The spatial difference of the first leaf storey expansion stage would be more evident, but not for spring flowering stage. The amplitude of rubber tree spring phenology variations was closely related to the increases of temperature under different RCP scenarios, with the most apparent change under RCP8.5 scenario and most mild change under RCP2.6 scenario.Grassland is an important type of terrestrial ecosystem. Using remote sensing technology to study the change and driving force of native grassland productivity at large scale is an important way to understand the ecological status of grassland. In this study, potential and actual net primary productivity (NPP) of Xilingol steppe from 2000 to 2018 were examined based on climatic model and light-use efficiency model, respectively. NPP damage value driven by human activities was calculated from the difference between potential and actual NPP. The least square method was used to analyze the temporal and spatial variation of NPP in Xilingol and the driving role of climate and human activities on NPP. The results showed that NPP in Xilingol increased from west to east, with mean annual NPP being 271.54 g C·m-2·a-1, the area with increased NPP (grassland restoration) being 36500 km2, and the area with decreased NPP (grassland degradation) being 59900 km2. The potential NPP tended to rise under the driving force of temperature and precipitation, with an average annual increase of 6.5 g C·m-2·a-1, which indicated that regional climate played a positive role in the improvement of NPP in Xilingol steppe, and that human activities were the main driving force for grassland degradation. The value of NPP damage driven by human activities decreased from east to west and from south to north, with the highest value in Wuzhumuqin meadow and southern steppe. Human activities, such as mining and reclamation, had the most obvious negative impact on grassland NPP.Under the background of climate change, the spatial-temporal distribution of precipita-tion in Heilongjiang Province is uneven, and drought and flood frequently change, which is not conducive to the safety of soybean production for the province. To clarify the influence mechanism of drought and flood in the growing season on soybean yield in Heilongjiang Province, we analyzed the time-series characteristics of drought and flood in soybean growing season and its effect on soybean yield in different growth stages, based on data of daily precipitation from 60 meteorological stations during 1961 to 2018 and soybean yield in the same period, with the standardized precipitation index (SPI) as the drought and flood evaluation index. The results showed that, from 1961 to 2018, the influence range of drought in soybean growing season in Heilongjiang Province showed a weak decreasing trend, while that of flood showed a weak increasing trend. In the same period, the intensity of both drought and flood showed a weak increasing trend, with slightly stronger role of flood intensity.
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