水稻发育期模型研究进展
Review of Research on Rice Phenology Models
查看参考文献76篇
|
文摘
|
物候是气候变化的重要指示物。随着全球变化研究的开展,已经有越来越多的研究表明,随着气象条件的变化,植物的物候期发生了明显的变化,因此,对物候的精准模拟可以帮助我们准确理解作物对全球变化的响应机制,强大的物候模型已经逐渐成为提高植物对气候变化响应的模拟精度的一个关键工具。同时作物物候的模拟也是作物模型的一个重要组成部分。水稻是最重要的粮食作物之一,水稻发育期模型研究对水稻生长模型有着重要的意义。本文对国内外水稻发育模型的发展进行了综述,并提出了目前水稻发育期模型研究中存在的问题以及发展的方向,以期后续的水稻发育期模型乃至作物模型的研究提供借鉴。 |
|
其他语种文摘
|
Phenology, the study of biological events and how they are influenced by seasonal and interannual variations in climate change, is an important indicator of climate change, as more and more studies suggest that plant phenology goes through dramatic change in response to climate change. Thus an accurate phenology model is needed for us to accurately understand the mechanism of how crops respond to global climate change. Phenological sub-models are being widely used in the models such as ecosystem productivity models, land surface process models and crop simulation models, because phenology provides important data. A good phenology model improves the accuracy of the simulation of energy exchange between the earth and its atmosphere and the accuracy of carbon assessment. A robust phenology model has gradually become a critical tool for improving the accuracy of the simulation of the changes of crops in response to climate change, and the simulation of crop phenology in turn is an important part of crop model. Rice is one of the most important crops in the world and is the major food crop in China. This paper reviews research progress on rice phenology models abroad and at home, discusses the categories of the models and uses several models as examples. The current issues and future trends are suggested as well. This review can serve as a reference for research on rice phenology models and crop models. |
|
来源
|
地理科学进展
,2012,31(11):1485-1491 【核心库】
|
|
关键词
|
水稻
;
物候
;
发育期
;
模型
|
|
地址
|
中国科学院地理科学与资源研究所, 北京, 100101
|
|
语种
|
中文 |
|
ISSN
|
1007-6301 |
|
学科
|
农作物 |
|
基金
|
国家973计划
|
|
文献收藏号
|
CSCD:4700649
|
参考文献 共
76
共4页
|
|
1.
Ahas R. The phenological calendar of Estonia and its correlation with mean air temperature.
International Journal of Biometeorology,2000,44(4):159-166
|
CSCD被引
33
次
|
|
|
|
|
2.
Badeck F W. Responses of spring phenology to climate change.
New Phytologist,2004,162(2):295-309
|
CSCD被引
74
次
|
|
|
|
|
3.
McBratney A B. On digital soil mapping.
Geoderma,2003,117(1/2):3-52
|
CSCD被引
188
次
|
|
|
|
|
4.
Menzel A. European phenological response to climate change matches the warming pattern.
Global Change Biology,2006,12(10):1969-1976
|
CSCD被引
133
次
|
|
|
|
|
5.
White M A. A continental phenology model for monitoring vegetation responses to interannual climatic variability.
Global Biogeochemical Cycles,1997,11(2):217-234
|
CSCD被引
115
次
|
|
|
|
|
6.
Menzel A. Growing season extended in Europe.
Nature,1999,397(6721):659-659
|
CSCD被引
158
次
|
|
|
|
|
7.
Myneni R B. Increased plant growth in the northern high latitudes from 1981 to 1991.
Nature,1997,386(6626):698-702
|
CSCD被引
375
次
|
|
|
|
|
8.
Tao F L. Land surface phenology dynamics and climate variations in the North East China Transect (NECT), 1982-2000.
International Journal of Remote Sensing,2008,29(19):5461-5478
|
CSCD被引
7
次
|
|
|
|
|
9.
White M A. Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006.
Global Change Biology,2009,15(10):2335-2359
|
CSCD被引
71
次
|
|
|
|
|
10.
Zhang X. Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data.
Global Change Biology,2004,10(7):1133-1145
|
CSCD被引
56
次
|
|
|
|
|
11.
Sacks W J. Crop management and phenology trends in the U.S. Corn Belt: Impacts on yields, evapotranspiration and energy balance.
Agricultural and Forest Meteorology,2011,151(7):882-894
|
CSCD被引
29
次
|
|
|
|
|
12.
Shimono H. Earlier rice phenology as a result of climate change can increase the risk of cold damage during reproductive growth in northern Japan.
Agriculture. Ecosystems & Environment,2011,144(1):201-207
|
CSCD被引
7
次
|
|
|
|
|
13.
Siebert S. Spatio-temporal patterns of phenological development in Germany in relation to temperature and day length.
Agricultural and Forest Meteorology,2012,152(15):44-57
|
CSCD被引
8
次
|
|
|
|
|
14.
Vitasse Y. Assessing the effects of climate change on the phenology of European temperate trees.
Agricultural and Forest Meteorology,2011,151(7):969-980
|
CSCD被引
17
次
|
|
|
|
|
15.
Karlsen S R. Growing-season trends in Fennoscandia 1982-2006, determined from satellite and phenology data.
Climate Research,2009,39(3):275-286
|
CSCD被引
7
次
|
|
|
|
|
16.
Morin X. Changes in leaf phenology of three European oak species in response to experimental climate change.
New Phytologist,2010,186(4):900-910
|
CSCD被引
23
次
|
|
|
|
|
17.
Fitter A H. Rapid changes in flowering time in British plants.
Science,2002,296(5573):1689-1691
|
CSCD被引
95
次
|
|
|
|
|
18.
Garcia-Mozo H. Phenological trends in southern Spain: A response to climate change.
Agricultural and Forest Meteorology,2010,150(4):575-580
|
CSCD被引
8
次
|
|
|
|
|
19.
Menzel A. Spatial and temporal variability of the phenological seasons in Germany from 1951 to 1996.
Global Change Biology,2001,7(6):657-666
|
CSCD被引
27
次
|
|
|
|
|
20.
Sparks T H. The responses of species to climate over two centuries: An analysis of the Marsham phenological record, 1736-1947.
Journal of Ecology,1995,83(2):321-329
|
CSCD被引
26
次
|
|
|
|
|
了解气象卫星更多信息，请访问