4-thiosemicarbazono-valeric acid | 145354-41-2

• 分子结构分类: 有机化合物 - 有机氮化合物
• 英文名称: 4-thiosemicarbazono-valeric acid
• 英文别名: 4-Thiosemicarbazono-valeriansaeure；(4E)-4-(carbamothioylhydrazinylidene)pentanoic acid
• CAS: 145354-41-2
• 化学式: C₆H₁₁N₃O₂S
• 分子量: 189.238
• InChiKey: CTPVLOPLMJVGSG-XBXARRHUSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  -0.8
• 重原子数：
  12
• 可旋转键数：
  4
• 环数：
  0.0
• sp3杂化的碳原子比例：
  0.5
• 拓扑面积：
  120
• 氢给体数：
  3
• 氢受体数：
  4

反应信息

• 作为产物：
  描述：

  氨基硫脲 、 乙酰丙酸 在 溶剂黄146 作用下， 生成 4-thiosemicarbazono-valeric acid
  参考文献：
  名称：

  Environmental controls of NDVI and sheep production in the Tierra del Fuego steppe of Argentina

  摘要：

  Abstract. We analysed vegetation dynamics in Tierra del Fuego steppes using Normalized Difference Vegetation Index (NDVI) data provided by advanced very high‐resolution radiometer (AVHRR) on board the National Oceanic and Atmospheric Administration (NOAA) polar satellite. Our objective, at a regional scale, was to analyse the spatial variability of NDVI dynamics in relation to parent material and geographic location, representing the fertility and climate gradients respectively; at a local scale, it was to analyse the inter‐annual variability associated with climate and its relation with sheep production indices. The general pattern of NDVI dynamics was analysed with Principal Component Analysis. We found that the geographic location was more important than landscape type in explaining NDVI dynamics despite the fact that the variation in landscape type reflects a fertility gradient strongly associated with floristic composition and secondary productivity.Discriminant Analysis was performed to identify the variables that better distinguish geographic units. The Northern region (with the lowest precipitation and the highest temperatures) had lower NDVI values over the year. In the Central region, NDVI reached the highest value of the season, surpassing both other regions. The Southern region (the coldest and moistest) had its growth pattern displaced towards the summer. For the Central region we analysed 10 years of monthly NDVI data with PCA. We found that precipitation from August to December and winter temperature are the most important determinants of overall NDVI values. Lamb production was correlated with spring and early summer NDVI values. Sheep mortality is affected by low NDVI values in late summer and high annual amplitude. Satellite information allowed us to characterize the vegetation dynamics of three ecological areas across the Fuegian steppe.

  DOI：

  10.2307/1479004