MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03725nab a22003737a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
65646 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230217172541.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220930s2022 ne |||p|op||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
0168-1923 |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1016/j.agrformet.2022.109187 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MX-TxCIM |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
13647 |
| Personal name |
Huan Liu |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Exploring the uncertainty in projected wheat phenology, growth and yield under climate change in China |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Amsterdam (Netherlands) : |
| Name of publisher, distributor, etc. |
Elsevier, |
| Date of publication, distribution, etc. |
2022. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Exploring and quantifying the uncertainties in climate impact assessment with multiple climate-crop models is crucial to reducing the total uncertainty and guiding adaptation strategies for crop production. Here, we carried out a climate-crop ensemble simulation to measure the uncertainty in estimated climate impacts on China's wheat productivity by the 2050s. The ensemble included the simulations conducted with the three-DSSAT wheat model ensemble. As for the future climate, five Global Climate projections (GCMs) under two Representative Concentration Pathways (RCP4.5 and 8.5) and two CO2 concentrations were selected. Our results indicate that the median of simulated yield change was between 4.5% ∼ 5.5%, and -7.7% ∼ -5.6% respectively under elevated and current CO2 concentrations by 2050s compared to 1981–2010. The median of simulated phenology change was nearly -12 ∼ -10 d In percentage terms, higher uncertainty in national yield change was observed compared to phenology change. The total relative contributions of climate projections, crop models, and RCP scenarios have been more than 70% of the total uncertainty of national phenology and yield change. Crop models have accounted for the largest uncertainty of irrigated yield, while crop models and climate projections almost contributed a similar share of the total uncertainty of rainfed yield. These findings highlight the distribution of uncertainty and sources of uncertainty both at the national and grid scales, which would provide a more comprehensive understanding of uncertainties in future yield prediction. Our results also showed that larger uncertainty has been observed in warmer regions (growing season average temperature > 20 °C) than in cooler regions, while the wet regions (growing season rainfall > 400 mm) would suffer smaller uncertainty than dry regions. These findings emphasize the relationships between uncertainty and climate factors, which offers insights for improving crop models and designing adaptation strategies. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1310 |
| Topical term or geographic name as entry element |
Wheat |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1045 |
| Topical term or geographic name as entry element |
Climate change |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
9439 |
| Topical term or geographic name as entry element |
Growth |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1313 |
| Topical term or geographic name as entry element |
Yields |
| 651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
3990 |
| Geographic name |
China |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
7946 |
| Personal name |
Wei Xiong |
| Field link and sequence number |
001710466 |
| Miscellaneous information |
Sustainable Intensification Program |
| -- |
Sustainable Agrifood Systems |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
6381 |
| Personal name |
Pequeno, D.N.L. |
| Field link and sequence number |
001710201 |
| Miscellaneous information |
Socioeconomics Program |
| -- |
Integrated Development Program |
| -- |
Sustainable Agrifood Systems |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
7945 |
| Personal name |
Hernandez-Ochoa, I.M. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Krupnik, T.J. |
| Miscellaneous information |
Sustainable Intensification Program |
| -- |
Sustainable Agrifood Systems |
| Field link and sequence number |
INT3222 |
| 9 (RLIN) |
906 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
907 |
| Personal name |
Burgueño, J. |
| Field link and sequence number |
INT3239 |
| Miscellaneous information |
Genetic Resources Program |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
11045 |
| Personal name |
Yinlong Xu |
| 773 0# - HOST ITEM ENTRY |
|---|
| Place, publisher, and date of publication |
Amsterdam (Netherlands) : Elsevier, 2022. |
| Related parts |
v. 326, art. 109187 |
| Title |
Agricultural and Forest Meteorology |
| International Standard Serial Number |
0168-1923 |
| Record control number |
u444454 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Article |
| Suppress in OPAC |
No |