PMID- 30907545
OWN - NLM
STAT- MEDLINE
DCOM- 20190717
LR  - 20190717
IS  - 1001-9332 (Print)
IS  - 1001-9332 (Linking)
VI  - 30
IP  - 1
DP  - 2019 Jan 20
TI  - [Influencing factors and their simulation of summer maize land surface-air 
      temperature difference under drought conditions].
PG  - 233-242
LID - 10.13287/j.1001-9332.201901.039 [doi]
AB  - Crop water deficit status characterized by land surface-air temperature 
      difference (T(s)-T(a)) has been widely investigated. However, empirical evidence 
      for characteristics and impact factors of T(s)-T(a) considering the process of 
      crop growth are less yet, which restricts the accurate simulation of T(s)-T(a). 
      Here, the data of T(s)-T(a) during the process of maize growth were obtained from 
      five irrigation water control experiments after the period of summer maize 3-leaf 
      stage in 2014 and jointing stage in 2015. The results showed that T(s)-T(a) of 
      summer maize cropland was significantly affected by soil water content. T(s)-T(a) 
      increased with the deficit of soil water. During summer maize water treatments, 
      the normalized difference vegetation index (NDVI) was the main impact factor of 
      T(s)-T(a), with a significant linear relationship. However, during different 
      growth stages, some additional factors including meteorological, biological and 
      soil factors could also affect T(s)-T(a), including canopy photosynthetic active 
      radiation absorption ratio (f(APAR)) after 3-leaf stage, relative soil water 
      content (RSWC), and air relative humidity (RH) from 3-leaf stage to jointing 
      stage. Then, the growth duration simulation model of T(s)-T(a), vegetative growth 
      simulation model of T(s)-T(a) and reproductive growth simulation model of 
      T(s)-T(a) were established in terms of the data in 2014. Those simulation models 
      were validated based on the experimental data of five irrigation water treatments 
      after summer maize jointing stage in 2015. The results showed that the growth 
      duration simulation mode of T(s)-T(a) could explain 63% variation of T(s)-T(a) in 
      2015. However, 79% variation of T(s)-T(a) could be explained by the simulation 
      results of the vegetative growth simulation model of T(s)-T(a) and the 
      reproductive growth simulation model of T(s)-T(a). The results provided the basis 
      for the quantitative evaluation of crop drought based on T(s)-T(a).
FAU - Liu, Er Hua
AU  - Liu EH
AD  - Chinese Academy of Meteorological Sciences, Beijing 100081, China.
FAU - Zhou, Guang Sheng
AU  - Zhou GS
AD  - Chinese Academy of Meteorological Sciences, Beijing 100081, China.
AD  - Collaborative Innovation Center on Forecast Meteorological Disaster Warning and 
      Assessment, Nanjing University of Information Science & Technology, Nanjing 
      210044, China.
LA  - chi
PT  - Journal Article
TT  - 干旱条件下夏玉米地-气温差的影响因素及其模拟.
PL  - China
TA  - Ying Yong Sheng Tai Xue Bao
JT  - Ying yong sheng tai xue bao = The journal of applied ecology
JID - 9425159
RN  - 0 (Soil)
RN  - 059QF0KO0R (Water)
SB  - IM
MH  - *Droughts
MH  - Journal Impact Factor
MH  - Seasons
MH  - Soil
MH  - Temperature
MH  - Water
MH  - *Zea mays
OTO - NOTNLM
OT  - soil water change
OT  - land surface-air temperature difference
OT  - model.
OT  - summer maize
EDAT- 2019/03/26 06:00
MHDA- 2019/07/18 06:00
CRDT- 2019/03/26 06:00
PHST- 2019/03/26 06:00 [entrez]
PHST- 2019/03/26 06:00 [pubmed]
PHST- 2019/07/18 06:00 [medline]
AID - 10.13287/j.1001-9332.201901.039 [doi]
PST - ppublish
SO  - Ying Yong Sheng Tai Xue Bao. 2019 Jan 20;30(1):233-242. doi: 
      10.13287/j.1001-9332.201901.039.