The nutritive quality in plant organs is related to the different partitioning patterns of nutrient resources among the organs under various environmental conditions.This study examined the relationship between the nu...The nutritive quality in plant organs is related to the different partitioning patterns of nutrient resources among the organs under various environmental conditions.This study examined the relationship between the nutritive quality of pods and seeds in Zanthoxylum and environmental factors, such as temperature and preciptation by using numerous samples collected from Southwest China to the East China of Shandong peninsula. The increasing accumulations of N, P and C in seeds implied that the nutritive quality in seeds was higher at the regions with relative higher mean annual temperature(MAT) and mean annual precipitation(MAP), while that in pods was on the contrary. By contrast, pod nutritive content was relatively high, but seed nutritive content was relatively low at the regions with relative high MAT and MAP. In addition, C:N ratio in pods was significantly and negatively correlated with MAT and MAP, while that in seed was significantly and positively correlated with MAT and MAP. The partitioning patterns of N-compounds between pods and seeds reflected different nitrogen translocations in the plant organs under various climate condition. The N:P ratios were negatively correlated with MAP, implying a higher proportional allocation of P to seeds than that of N in the areas with a relative high MAP. Therefore, the strategies to assess pod nutritional quality should be taken into accountfor nutritive translocation under various environmental conditions.展开更多
Water quality assessment of lakes is important to determine functional zones of water use.Considering the fuzziness during the partitioning process for lake water quality in an arid area,a multiplex model of fuzzy clu...Water quality assessment of lakes is important to determine functional zones of water use.Considering the fuzziness during the partitioning process for lake water quality in an arid area,a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method,ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition.The model was applied to partition the Ulansuhai Lake,a typical shallow lake in arid climate zone in the west part of Inner Mongolia,China and grade the condition of water quality divisions.The results showed that the partition well matched the real conditions of the lake,and the method has been proved accurate in the application.展开更多
We calculated a self-thinning exponent of 1.05 for tree mass using the 3/2 power equation in 93 Cunninghamia lanceolata plots.According to Weller’s allometric model,the self-thinning exponent for tree mass was calcul...We calculated a self-thinning exponent of 1.05 for tree mass using the 3/2 power equation in 93 Cunninghamia lanceolata plots.According to Weller’s allometric model,the self-thinning exponent for tree mass was calculated as 1.28 from the allometric exponents h and d.The both self-thinning exponents were significantly lower than 3/2.The self-thinning exponent of organs was estimated to be 1.42 for stems,0.93 for branches,0.96 for leaves,1.35 for roots and 1.28 for shoots,respectively.The self-thinning exponent of stem mass was not significantly different from 3/2,whereas thinning exponents of trees,branches,leaves and roots were significantly lower than 3/2.The stand leaf mass and stand branch mass were constant regardless of the stand density.The scaling relations among branch,leaf,stem,root and shoot mass（MB,ML,MS,MR and MA,respectively） showed that MB and ML scaled as the3/4 power of MS,whereas MS or MA scaled isometrically with respect to MR.展开更多
Ambient temperature is an important factor affecting metabolic processes in animals,and its effect on energy metabolism is becoming more evident.Yet,integrative analysis of energy metabolism in finishing pigs at diffe...Ambient temperature is an important factor affecting metabolic processes in animals,and its effect on energy metabolism is becoming more evident.Yet,integrative analysis of energy metabolism in finishing pigs at different combinations of ambient temperature,energy density and energy sources,still remain underexplored.In order to determine the special characteristics of energy metabolism of finishing pigs in low-temperature environment,the effects of different combinations of ambient temperature,energy density,and energy source on underlying mechanisms were elucidated by assessing energy metabolism using integrative indirect calorimetry and non-targeted plasma metabolomics analyses.Thirty-two finishing pigs(Duroc×Large White×Landrace)with similar body weight of 85.44±2.04 kg were allotted in a 2×2×2 factorial arrangement(8 treatment groups,4 replicates per group,1 pig per replicate),which included two ambient temperatures(low temperature[10℃]and normal temperature[20℃]),two energy densities(normal energy density[NE,14.02 MJ/kg]and high energe density[HE,15.14 MJ/kg]),and two energy sources(low-oil source and high-oil source).The experiment period lasted 11 days.Increasing the energy density of the diet by adding oil changed the energy source in a low-temperature environment,improved crude fat digestibility(P<0.001),and reduced the feed/gain ratio of pigs(P=0.004),with a tendency for higher average daily gain(P=0.098),which would increase energy utilization.Adding oil to the diet altered energy sources at low temperature,reducing carbon dioxide emission by 3.10%,increasing energy retention and fat oxidation(P<0.05).Further,optimizing energy sources by adding oil significantly improved serum glucose(GLU)content(P<0.001)and reduced urea nitrogen(UN)content at normal temperature(P<0.001),with the same trend observed at low temperature.The metabolites in the eight groups were mainly enriched in the sphingolipid signaling pathway,insulin resistance,and glycerophospholipid metabolism(P<0.05).Energy metabolism in finishing pigs was not only affected by ambient temperature and energy density,but also by energy source,leading to variations in metabolic pathways for different energy substances.Increasing the dietary energy density by increasing oil supplementation at low temperature is an effective way to improve the growth performance of finishing pigs while reducing pollutant emissions.The study provides a new solution for optimizing energy nutrition for finishing pigs in low-temperature environment.展开更多
We propose the construction of cross and joint ordinal pattern transition networks from multivariate time series for two coupled systems, where synchronizations are often present. In particular, we focus on phase sync...We propose the construction of cross and joint ordinal pattern transition networks from multivariate time series for two coupled systems, where synchronizations are often present. In particular, we focus on phase synchronization, which is a prototypical scenario in dynamical systems. We systematically show that cross and joint ordinal pattern transition networks are sensitive to phase synchronization. Furthermore, we find that some particular missing ordinal patterns play crucial roles in forming the detailed structures in the parameter space, whereas the calculations of permutation entropy measures often do not. We conclude that cross and joint ordinal partition transition network approaches provide complementary insights into the traditional symbolic analysis of synchronization transitions.展开更多
基金supported by the National Key R&D Program of China Grant 2016YFA0601002National Natural Science Foundation of China(Grant Nos.41571130072)(S-L Li)
文摘The nutritive quality in plant organs is related to the different partitioning patterns of nutrient resources among the organs under various environmental conditions.This study examined the relationship between the nutritive quality of pods and seeds in Zanthoxylum and environmental factors, such as temperature and preciptation by using numerous samples collected from Southwest China to the East China of Shandong peninsula. The increasing accumulations of N, P and C in seeds implied that the nutritive quality in seeds was higher at the regions with relative higher mean annual temperature(MAT) and mean annual precipitation(MAP), while that in pods was on the contrary. By contrast, pod nutritive content was relatively high, but seed nutritive content was relatively low at the regions with relative high MAT and MAP. In addition, C:N ratio in pods was significantly and negatively correlated with MAT and MAP, while that in seed was significantly and positively correlated with MAT and MAP. The partitioning patterns of N-compounds between pods and seeds reflected different nitrogen translocations in the plant organs under various climate condition. The N:P ratios were negatively correlated with MAP, implying a higher proportional allocation of P to seeds than that of N in the areas with a relative high MAP. Therefore, the strategies to assess pod nutritional quality should be taken into accountfor nutritive translocation under various environmental conditions.
基金Supported by the National Natural Science Foundation of China (No.50269001, 50569002, 50669004)Natural Science Foundation of Inner Mongolia (No.200208020512, 200711020604)The Key Scientific and Technologic Project of the 10th Five-Year Plan of Inner Mongolia (No.20010103)
文摘Water quality assessment of lakes is important to determine functional zones of water use.Considering the fuzziness during the partitioning process for lake water quality in an arid area,a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method,ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition.The model was applied to partition the Ulansuhai Lake,a typical shallow lake in arid climate zone in the west part of Inner Mongolia,China and grade the condition of water quality divisions.The results showed that the partition well matched the real conditions of the lake,and the method has been proved accurate in the application.
基金supported by Foundation of Guangdong Forestry Bureau (Nos.4400-F11031,4400-F11055)
文摘We calculated a self-thinning exponent of 1.05 for tree mass using the 3/2 power equation in 93 Cunninghamia lanceolata plots.According to Weller’s allometric model,the self-thinning exponent for tree mass was calculated as 1.28 from the allometric exponents h and d.The both self-thinning exponents were significantly lower than 3/2.The self-thinning exponent of organs was estimated to be 1.42 for stems,0.93 for branches,0.96 for leaves,1.35 for roots and 1.28 for shoots,respectively.The self-thinning exponent of stem mass was not significantly different from 3/2,whereas thinning exponents of trees,branches,leaves and roots were significantly lower than 3/2.The stand leaf mass and stand branch mass were constant regardless of the stand density.The scaling relations among branch,leaf,stem,root and shoot mass（MB,ML,MS,MR and MA,respectively） showed that MB and ML scaled as the3/4 power of MS,whereas MS or MA scaled isometrically with respect to MR.
基金supported by the National Natural Science Foundation of China(U21A20254)the Jilin Provincial Scientific and Technological Development Program(20230202078NC).
文摘Ambient temperature is an important factor affecting metabolic processes in animals,and its effect on energy metabolism is becoming more evident.Yet,integrative analysis of energy metabolism in finishing pigs at different combinations of ambient temperature,energy density and energy sources,still remain underexplored.In order to determine the special characteristics of energy metabolism of finishing pigs in low-temperature environment,the effects of different combinations of ambient temperature,energy density,and energy source on underlying mechanisms were elucidated by assessing energy metabolism using integrative indirect calorimetry and non-targeted plasma metabolomics analyses.Thirty-two finishing pigs(Duroc×Large White×Landrace)with similar body weight of 85.44±2.04 kg were allotted in a 2×2×2 factorial arrangement(8 treatment groups,4 replicates per group,1 pig per replicate),which included two ambient temperatures(low temperature[10℃]and normal temperature[20℃]),two energy densities(normal energy density[NE,14.02 MJ/kg]and high energe density[HE,15.14 MJ/kg]),and two energy sources(low-oil source and high-oil source).The experiment period lasted 11 days.Increasing the energy density of the diet by adding oil changed the energy source in a low-temperature environment,improved crude fat digestibility(P<0.001),and reduced the feed/gain ratio of pigs(P=0.004),with a tendency for higher average daily gain(P=0.098),which would increase energy utilization.Adding oil to the diet altered energy sources at low temperature,reducing carbon dioxide emission by 3.10%,increasing energy retention and fat oxidation(P<0.05).Further,optimizing energy sources by adding oil significantly improved serum glucose(GLU)content(P<0.001)and reduced urea nitrogen(UN)content at normal temperature(P<0.001),with the same trend observed at low temperature.The metabolites in the eight groups were mainly enriched in the sphingolipid signaling pathway,insulin resistance,and glycerophospholipid metabolism(P<0.05).Energy metabolism in finishing pigs was not only affected by ambient temperature and energy density,but also by energy source,leading to variations in metabolic pathways for different energy substances.Increasing the dietary energy density by increasing oil supplementation at low temperature is an effective way to improve the growth performance of finishing pigs while reducing pollutant emissions.The study provides a new solution for optimizing energy nutrition for finishing pigs in low-temperature environment.
基金This work was in part financially spon- sored by the Natural Science Foundation of Shanghai （Grant No. 17ZR1444800 and 18ZR1411800）.
文摘We propose the construction of cross and joint ordinal pattern transition networks from multivariate time series for two coupled systems, where synchronizations are often present. In particular, we focus on phase synchronization, which is a prototypical scenario in dynamical systems. We systematically show that cross and joint ordinal pattern transition networks are sensitive to phase synchronization. Furthermore, we find that some particular missing ordinal patterns play crucial roles in forming the detailed structures in the parameter space, whereas the calculations of permutation entropy measures often do not. We conclude that cross and joint ordinal partition transition network approaches provide complementary insights into the traditional symbolic analysis of synchronization transitions.
