The phenological responses of the dominant shrubs Artemisia halodendron and Caragana microphylla in the Horqin Sandy Land to climate change

doi:10.7522/j.issn.1000-694X.2025.00034

Journal of Desert Research ›› 2025, Vol. 45 ›› Issue (4): 305-313.DOI: 10.7522/j.issn.1000-694X.2025.00034

The phenological responses of the dominant shrubs Artemisia halodendron and Caragana microphylla in the Horqin Sandy Land to climate change

Haojiang Bai¹^,⁴(), Yongqing Luo¹^,⁴(), Li Cheng¹^,⁴, Zhengjiaoyi Wang²^,³^,⁴

^1.Naiman Desertification Research Station /, Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China
^2.Urat Desert-Grassland Research Station /, Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China
^3.Gansu Province Key Laboratory of Stress Physiology and Ecology in Cold and Arid Region, Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China
^4.University of Chinese Academy of Sciences，Beijing 100049，China

Received:2024-09-18 Revised:2025-02-25 Online:2025-07-20 Published:2025-08-18
Contact: Yongqing Luo

Abstract

Abstract:

Plant phenology is one of the most sensitive and accurate indicators of climate change， and it can reflect the response and adaptation of ecosystems to environmental changes. In order to explore the meteorological driving factors of dominant shrub phenological change in semi-arid sandy grassland. We collected the phenological observation data and corresponding meteorological data from 2005 to 2019 recorded by Naiman Desertification Research Station. We used the partial least squares regression （PLS） method to analyze the effects of meteorological variables， such as temperature， precipitation and solar radiation on shrub phenology. The results showed that： temperature， precipitation， and solar radiation increased in most months in Horqin Sandy Land during 2005-2019. The leaf unfolding of two dominant shrubs was significantly advanced （P<0.05）， leaf discoloration and senescence was significantly delayed （P<0.05）， the length of growing season was significantly prolonged （P<0.05）. Over the past 15 years， the change of temperature made Artemisia halodendron and Caragana microphylla show a trend of earlier leaf unfolding， later leaf discoloration， later senescence and longer growing season. The change of precipitation made the later senescence and longer growing season of A. halodendron and C. microphylla. With the increase of solar radiation， A. halodendron and C. microphylla showed a trend of later leaf unfolding， earlier leaf discoloration，earlier senescence and shorter growing season. In conclusion， the effects of solar radiation on A. halodendron and C. microphylla were in the opposite direction to the effects of temperature and precipitation. Temperature and precipitation were the key meteorological factor to advance the leaf unfolding， delay the leaf discoloration and senescence， as well as prolong the length of growing season of A. halodendron and C. microphylla in the semi-arid sandy grassland.

Key words: phenology, Horqin Sandy Land, climate change, partial least squares regression, dominant shrubs

CLC Number:

Q948

Haojiang Bai, Yongqing Luo, Li Cheng, Zhengjiaoyi Wang. The phenological responses of the dominant shrubs Artemisia halodendron and Caragana microphylla in the Horqin Sandy Land to climate change[J]. Journal of Desert Research, 2025, 45(4): 305-313.

Figures/Tables 5

References 47

[1]	翟佳，袁凤辉，吴家兵.植物物候变化研究进展［J］.生态学杂志，2015，34（11）：257-263.
[2]	杨扬，罗贤，李荣平，等.气象要素对植物物候影响及其驱动机制研究进展［J］.气象与环境学报，2016，32（5）：154-159.
[3]	王连喜，陈怀亮，李琪，等.植物物候与气候研究进展［J］.生态学报，2010，20（2）：447-454.
[4]	Gonsamo A， Chen J M， Price D T，et al.Land surface phenology from optical satellite measurement and CO₂ eddy covariance technique［J］.Journal of Geophysical Research Biogeosciences，2015，117（G3）：1-12.
[5]	张德露，刘芳，武倩，等.气候变化下草原植物物候响应规律研究进展［J］.内蒙古林业调查设计，2018，41（6）：102-104.
[6]	Fenner M.The phenology of growth and reproduction in plants［J］.Perspectives in Plant Ecology，Evolution and Systematics，1998，1（1）：78-91.
[7]	刘志民，蒋德明，高红瑛，等.植物生活史繁殖对策与干扰关系的研究［J］.应用生态学报，2003，14（3）：418-422.
[8]	俎佳星，杨健.东北地区植物物候时序变化［J］.生态学报，2016，36（7）：2015-2023.
[9]	Beaubien E G， Freeland H J.Spring phenology trends in Alberta，Canada：links to ocean temperature［J］.International Journal of Biometeorology，2000，44（2）：53-59.
[10]	徐佳.气候变化对我国植被影响的观测证据集成分析［D］.浙江金华：浙江师范大学，2019.
[11]	Piao S L， Fang J Y， Zhou L M，et al.Variations in satellite-derived phenology in China's temperate vegetation［J］.Global Change Biology，2006，12（4）：672-685.
[12]	包晓影，崔树娟，王奇，等.草地植物物候研究进展及其存在的问题［J］.生态学杂志，2017，36（8）：2321-2326.
[13]	丁抗抗，高庆先，李辑.我国植物物候变化及对气候变化的响应综述［J］.安徽农业科学，2010，38（14）：7414-7417.
[14]	莫非，赵鸿，王建永，等.全球变化下植物物候研究的关键问题［J］.生态学报，2011，31（9）：2593-2601.
[15]	Wolkovich E M， Cook B I， Davies T J.Progress towards an interdisciplinary science of plant phenology：building predictions across space，time and species diversity［J］.New Phytologists，2014，201（4）：1156-1162.
[16]	代武君，金慧颖，张玉红，等.植物物候学研究进展［J］.生态学报，2020，40 （19）：6705-6719.
[17]	穆少杰，李建龙，陈奕兆，等.2001-2010年内蒙古植被覆盖度时空变化特征［J］.地理学报，2012，67（9）：1255-1268.
[18]	Wang S， Wang C， Duan J，et al.Timing and duration of phenological sequences of alpine plants along an elevation gradient on the Tibetan Plateau［J］.Agricultural and Forest Meteorology，2014，189：220-228.
[19]	Jiang L L， Wang S P， Meng F D，et al.Relatively stable response of fruiting stage to warming and cooling relative to other phenological events［J］.Ecology，2016，97（8）：1961.
[20]	李玉霖，崔建垣，苏永中.不同沙丘生境主要植物比叶面积和叶干物质含量的比较［J］.生态学报，2005，25（2）：304-311.
[21]	Zuo X， Yue X， Lv P，et al.Contrasting effects of plant inter‐ and intraspecific variation on community trait responses to restoration of a sandy grassland ecosystem［J］.Ecology & Evolution，2017，7（4）：1125-1134.
[22]	宁志英，李玉霖，杨红玲，等.科尔沁沙地主要植物细根和叶片碳，氮，磷化学计量特征［J］.植物生态学报，2017，41（10）：1069-1081.
[23]	马赟花，张铜会，刘新平.半干旱区沙地芦苇对浅水位变化的生理生态响应［J］.生态学报，2013，33（21）：6984-6991.
[24]	王青宁，衣学慧，王晗生，等.水分胁迫对几种固沙灌木幼苗生物量的影响［J］.甘肃农业大学学报，2014，49（3）：93-100.
[25]	宛敏渭，刘秀珍.中国物候观测方法［M］.北京：科学出版社，1979.
[26]	Luedeling E， Gassner A.Partial least squares regression for analyzing walnut phenology in California［J］.Agricultural & Forest Meteorology，2012，158：43-52.
[27]	Guo L， Dai J， Ranjitkar S，et al.Response of chestnut phenology in China to climate variation and change［J］.Agricultural & Forest Meteorology，2013，180：164-172.
[28]	张文奇，李丹，李浩，等.克里雅河流域植被物候时空变化及影响因素［J］.水土保持通报，2020，40（5）：291-298.
[29]	孙丕苓，许月卿，王数.环京津贫困带土地利用变化的地形梯度效应分析［J］.农业工程学报，2014，30（14）：277-288.
[30]	程建刚，解明恩.近50年云南区域气候变化特征分析［J］.地理科学进展，2008，27（5）：19-26.
[31]	Zhang Q， Kong D， Shi P，et al.Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change （1982-2013）［J］.Agricultural And Forest Meteorology，2018，248：408-417.
[32]	李荣平，周广胜.1980-2005年中国东北木本植物物候特征及其对气温的响应［J］.生态学杂志，2010，29（12）：2317-2326.
[33]	Fracheboud Y， Björkén L， Sjödin A，et al.The control of autumn senescence in European aspens［J］.Plant Physiology，2009，149（4）：1982-1991.
[34]	Shi C， Sun G， Zhang H，et al.Effects of warming on chlorophyll degradation and carbohydrate accumulation of alpine herbaceous species during plant senescence on the Tibetan Plateau［J］.Plos One，2014，9（9）：e107874.
[35]	Schwartz M.Phenology：An Integrative Environmental Science［M］.Netherlands：Springer，2013.
[36]	Liu Q， Fu Y H， Zeng Z，et al.Temperature，precipitation，and insolation effects on autumn vegetation phenology in temperate China［J］.Global Change Biology，2016，22（2）：644-655.
[37]	符瑜，潘学标.草本植物物候及其物候模拟模型的研究进展［J］.中国农业气象，2011，32（3）：319-325.
[38]	李荣平，周广胜，张慧玲.植物物候研究进展［J］.应用生态学报，2006，17（3）：541-544.
[39]	Menzel A， Sparks T H， Estrella N，et al.European phenological response to climate change matches the warming pattern［J］.Global Change Biology，2006，12（10）：1969-1976.
[40]	Schwartz M D， Ahas R， Aasa A.Onset of spring starting earlier across the Northern Hemisphere［J］.Global Change Biology，2006，12（2）：343-351.
[41]	Fu Y H， Piao S， Opdebeeck M，et al.Recent spring phenology shifts in western Central Europe based on multiscale observations［J］.Global Ecology and Biogeography，2014，23（11）：1255-1263.
[42]	刘秀梅，郑红玉，李小锋.天山北坡荒漠草原主要植物物候特征对气候变化的响应［J］.草学，2022，39（3）：51-57.
[43]	张仁平，郭靖，冯琦胜，等.新疆地区草地植被物候时空变化［J］.草业学报，2018，27（10）：66-75.
[44]	范德芹，赵学胜，郑周涛.内蒙古羊草草原物候及其对气候变化的响应［J］.地理与地理信息科学，2016，32（6）：81-86.
[45]	张玉静，杨秀春，郭剑，等.呼伦贝尔草原物候变化及其与气象因子的关系［J］.干旱区地理，2019，42（1）：144-153.
[46]	秦格霞，吴静，李纯斌，等.中国北方草地植被物候变化及其对气候变化的响应［J］.应用生态学报，2019，30（12）：4099-4107.
[47]	李杭燕，颉耀文，马明国.时序NDVI数据集重建方法评价与实例研究［J］.遥感技术与应用，2009，24（5）：596-602.

因子		1月	2月	3月	4月	5月	6月	7月	8月	9月	10月	11月	12月
平均气温	年变化速率/℃	0.160	-0.120	0.172	0.193	0.100	-0.005	0.100	-0.034	-0.002	-0.096	-0.067	0.090
	R²	0.081	0.058	0.142	0.124	0.135	0.001	0.376^**	0.063	0.001	0.200^*	0.030	0.039
最高气温	年变化速率/℃	0.183	-0.156	0.238	0.320	0.137	-0.003	0.125	-0.063	-0.027	-0.097	-0.053	0.107
	R²	0.084	0.061	0.186	0.189	0.139	0.001	0.405^**	0.084	0.017	0.119	0.013	0.043
最低气温	年变化速率/℃	0.115	-0.106	0.086	0.071	0.054	-0.064	0.081	0.049	0.031	-0.026	-0.071	0.032
	R²	0.045	0.045	0.044	0.028	0.087	0.135	0.135	0.073	0.022	0.028	0.043	0.006
降水量	年变化速率/mm	0.012	0.032	0.055	-1.107	0.532	0.256	-0.512	4.344	1.095	-0.024	0.091	0.080
	R²	0.034	0.008	0.002	0.079	0.013	0.001	0.004	0.208^*	0.019	0.001	0.027	0.270^**
太阳辐射	年变化速率/(MJ·m^-2)	7.470	9.259	18.598	20.675	23.694	32.556	32.365	23.841	24.095	18.543	13.538	11.222
	R²	0.191	0.172	0.328^**	0.298^**	0.289^**	0.374^**	0.400^**	0.251^*	0.364^**	0.375^**	0.442^**	0.393^**

因子		1月	2月	3月	4月	5月	6月	7月	8月	9月	10月	11月	12月
平均气温	年变化速率/℃	0.160	-0.120	0.172	0.193	0.100	-0.005	0.100	-0.034	-0.002	-0.096	-0.067	0.090
	R²	0.081	0.058	0.142	0.124	0.135	0.001	0.376^**	0.063	0.001	0.200^*	0.030	0.039
最高气温	年变化速率/℃	0.183	-0.156	0.238	0.320	0.137	-0.003	0.125	-0.063	-0.027	-0.097	-0.053	0.107
	R²	0.084	0.061	0.186	0.189	0.139	0.001	0.405^**	0.084	0.017	0.119	0.013	0.043
最低气温	年变化速率/℃	0.115	-0.106	0.086	0.071	0.054	-0.064	0.081	0.049	0.031	-0.026	-0.071	0.032
	R²	0.045	0.045	0.044	0.028	0.087	0.135	0.135	0.073	0.022	0.028	0.043	0.006
降水量	年变化速率/mm	0.012	0.032	0.055	-1.107	0.532	0.256	-0.512	4.344	1.095	-0.024	0.091	0.080
	R²	0.034	0.008	0.002	0.079	0.013	0.001	0.004	0.208^*	0.019	0.001	0.027	0.270^**
太阳辐射	年变化速率/(MJ·m^-2)	7.470	9.259	18.598	20.675	23.694	32.556	32.365	23.841	24.095	18.543	13.538	11.222
	R²	0.191	0.172	0.328^**	0.298^**	0.289^**	0.374^**	0.400^**	0.251^*	0.364^**	0.375^**	0.442^**	0.393^**

The phenological responses of the dominant shrubs Artemisia halodendron and Caragana microphylla in the Horqin Sandy Land to climate change

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