新疆植被总初级生产力对大气水分亏缺的响应

doi:10.12118/j.issn.1000-6060.2023.413

Abstract

Abstract:

Climate change in Xinjiang, China, has been remarkable in recent decades. With a significant shift from warm-wet to warm-dry, regional vegetation productivity, atmospheric drought conditions, and the response relationship between them will inevitably be affected. Based on multisource data such as ground meteorological observations and reanalysis data, considering remote sensing products, vegetation gross primary productivity (GPP), and vapor pressure deficit (VPD) as indicators, this study analyzed the spatial-temporal distribution and evolution patterns of vegetation GPP and VPD in Xinjiang from 1982 to 2018, as well as the influence of VPD changes on GPP. The results are as follows: (1) The annual mean GPP in Xinjiang was higher in the northern region, especially the mountains, than in the southern region. The annual mean GPP in Xinjiang was 256.6 g C·m^-2·a^-1 with a significant upward trend in interannual variability (R²=0.72, P<0.01). Approximately 82.00% of the total vegetation area showed an increasing trend, of which the area with significant increase accounted for 42.81%, mostly distributed in the oasis at the edge of the Tarim Basin in southern Xinjiang and agricultural areas on the north slope of Tianshan Mountains. The area with a decreasing GPP trend accounted for a small percentage, and its distribution was scattered. (2) VPD showed a distinct difference of “low in the mountains and high in the basins”. A nonsignificant fluctuating upward trend was observed in the VPD, with an annual mean value of 0.66 kPa. Significant increases in VPD occurred in approximately 82.02% of the whole territory, predominantly in the Tarim and Junggar Basins. In contrast, decreasing trends occurred sporadically in the high-altitude mountainous areas of the Kunlun Mountains. (3) Overall, the response of GPP to VPD was characterized by a distinct spatial heterogeneity with positive and negative correlations. The negative correlation between GPP and VPD accounted for 54.52% of the total vegetation area, mainly in the grassland at the front edge of the mountain. While the positive correlation was mainly distributed at the edge of the Tarim Basin, the northern slope of the Tianshan Mountains and its eastern section were dominated by cultivated crops and shrubs. Comparative analyses showed that GPP-VPD correlations differed significantly across vegetation types. The study proved that the change in VPD has already affected the vegetation productivity in Xinjiang. Although it has not yet become a major limiting factor, there is still a need to strengthen the tracking of the GPP and VPD response relationship to provide a scientific reference for optimizing ecological restoration and governance.

Key words: gross primary production (GPP), vapor pressure deficit (VPD), spatial-temporal change, correlation analysis, Xinjiang

JIANG Ping, YUAN Ye. Responses of vegetation gross primary production to vapor pressure deficit in Xinjiang[J].Arid Land Geography, 2024, 47(3): 403-412.

Figures/Tables 8

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Tab. 1

References 34

[1]	Sun Z Y, Wang X F, Yamamoto H, et al. Spatial pattern of GPP variations in terrestrial ecosystems and its drivers: Climatic factors, CO₂ concentration and land-cover change, 1982—2015[J]. Ecological Informatics, 2018, 46: 156-165. doi: 10.1016/j.ecoinf.2018.06.006
[2]	高振翔, 叶剑, 丁仁惠, 等. 中国植被总初级生产力对气候变化的响应[J]. 水土保持研究, 2022, 29(4): 394-399.
	[Gao Zhenxiang, Ye Jian, Ding Renhui, et al. Response of vegetation gross primary productivity to climate change in China[J]. Research of Soil and Water Conservation, 2022, 29(4): 394-399.]
[3]	邹慧, 高光耀, 傅伯杰. 干旱半干旱草地生态系统与土壤水分关系研究进展[J]. 生态学报, 2016, 36(11): 3127-3136.
	[Zou Hui, Gao Guangyao, Fu Bojie. The relationship between grassland ecosystem and soil water in arid and semi-arid areas: A review[J]. Acta Ecologica Sinica, 2016, 36(11): 3127-3136.]
[4]	Ahlström A, Michael R, Guy S, et al. The dominant role of semi-arid ecosystems in the trend and variability of the land CO₂ sink[J]. Science, 2015, 348: 895-899. doi: 10.1126/science.aaa1668 pmid: 25999504
[5]	毕晓丽, 王辉, 葛剑平. 植被归一化指数(NDVI)及气候因子相关起伏型时间序列变化分析[J]. 应用生态学报, 2005, 16(2): 284-288.
	[Bi Xiaoli, Wang Hui, Ge Jianping. Wave-type time series variation of the correlation between NDVI and climatic factors[J]. Chinese Journal of Applied Ecology, 2005, 16(2): 284-288.] pmid: 15852924
[6]	陈亚宁, 李玉朋, 李稚, 等. 全球气候变化对干旱区影响分析[J]. 地球科学进展, 2022, 37(2): 111-119. doi: 10.11867/j.issn.1001-8166.2022.006
	[Chen Yaning, Li Yupeng, Li Zhi, et al. Analysis of the impact of global climate change on dryland areas[J]. Advances in Earth Science, 2022, 37(2): 111-119.] doi: 10.11867/j.issn.1001-8166.2022.006
[7]	施雅风, 沈永平, 李栋梁, 等. 中国西北气候由暖干向暖湿转型的特征和趋势探讨[J]. 第四纪研究, 2003, 23(2): 152-164.
	[Shi Yafeng, Shen Yongping, Li Dongliang, et al. Discussion on the present climate change from warm-dry to warm-wet in northwest China[J]. Quaternary Sciences, 2003, 23(2): 152-164.]
[8]	赵传成, 王雁, 丁永建, 等. 西北地区近50年气温及降水的时空变化[J]. 高原气象, 2011, 30(2): 385-390.
	[Zhao Chuancheng, Wang Yan, Ding Yongjian, et al. Spatial temporal variations of temperature and precipitation in northern China in recent 50 years[J]. Plateau Meteorology, 2011, 30(2): 385-390.]
[9]	姚俊强, 毛炜峄, 陈静, 等. 新疆气候“湿干转折”的信号和影响探讨[J]. 地理学报, 2021, 76(1): 57-72. doi: 10.11821/dlxb202101005
	[Yao Junqiang, Mao Weiyi, Chen Jing, et al. Signal and impact of wet-to-dry shift over Xinjiang, China[J]. Acta Geographica Sinica, 2021, 76(1): 57-72.]
[10]	高晓宇, 郝海超, 张雪琪, 等. 中国西北干旱区植被水分利用效率变化对气象要素的响应——以新疆为例[J]. 干旱区地理, 2023, 46(7): 1111-1120.
	[Gao Xiaoyu, Hao Haichao, Zhang Xueqi, et al. Variation and driving mechanism of vegetation water use efficiency in arid areas of northwest China: A case of Xinjiang[J]. Arid Land Geography, 2023, 46(7): 1111-1120.]
[11]	张山清, 普宗朝, 伏晓慧, 等. 气候变化对新疆自然植被净第一性生产力的影响[J]. 干旱区研究, 2010, 27(6): 905-914.
	[Zhang Shanqing, Pu Zongchao, Fu Xiaohui, et al. Effect of climate change on NPP of natural vegetation in Xinjiang[J]. Arid Zone Research, 2010, 27(6): 905-914.]
[12]	丹利, 季劲钧, 马柱国. 新疆植被生产力与叶面积指数的变化及其对气候的响应[J]. 生态学报, 2007, 27(9): 3582-3592.
	[Dan Li, Ji Jinjun, Ma Zhuguo. The variation of net primary production and leaf area index over Xinjiang Autonomous Region and its response to climate change[J]. Acta Ecologica Sinica, 2007, 27(9): 3582-3592.]
[13]	慈晖, 张强. 新疆NDVI时空特征及气候变化影响研究[J]. 地球信息科学学报, 2017, 19(5): 662-671. doi: 10.3724/SP.J.1047.2017.00662
	[Ci Hui, Zhang Qiang. Spatio-temporal patterns of NDVI variations and possible relations with climate changes in Xinjiang Province[J]. Journal of Geo-information Science, 2017, 19(5): 662-671.]
[14]	杜加强, 赵晨曦, 房世峰, 等. 近30 a新疆月NDVI动态变化及其驱动因子分析[J]. 农业工程学报, 2016, 32(5): 172-180.
	[Du Jiaqiang, Zhao Chenxi, Fang Shifeng, et al. Analysis on spatio-temporal trends and drivers in monthly NDVI during recent decades in Xinjiang, China based two datasets[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(5): 172-180.]
[15]	何宝忠, 丁建丽, 张喆, 等. 新疆植被覆盖度趋势演变实验性分析[J]. 地理学报, 2016, 71(11): 1948-1966. doi: 10.11821/dlxb201611007
	[He Baozhong, Ding Jianli, Zhang Zhe, et al. Experimental analysis of spatial and temporal dynamics of fractional vegetation cover in Xinjiang[J]. Acta Geographica Sinica, 2016, 71(11): 1948-1966.] doi: 10.11821/dlxb201611007
[16]	袁先雷, 彭志潮, 刘雪宁. 新疆地区植被对多时间尺度干旱的响应研究[J]. 沙漠与绿洲气象, 2021, 15(3): 129-136.
	[Yuan Xianlei, Peng Zhichao, Liu Xuening. Different time-scale responses of vegetation to the SPEI drought index in Xinjiang[J]. Desert and Oasis Meteorology, 2021, 15(3): 129-136.]
[17]	Sulman B N, Roman D T, Yi K, et al. High atmospheric demand for water can limit forest carbon uptake and transpiration as severely as dry soil[J]. Geophysical Research Letters, 2016, 43(18): 9686-9695. doi: 10.1002/grl.v43.18
[18]	He B, Chen C, Lin S R, et al. Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks[J]. National Science Review, 2022, 9(4): nwab150, doi: 10.1093/nsr/nwab150.
[19]	姜萍, 胡列群, 许婷婷. 近60 a新疆大气水分亏缺的时空变化特征[J]. 干旱区地理, 2023, 46(1): 1-10.
	[Jiang Ping, Hu Liequn, Xu Tingting. Spatiotemporal variations of vapor pressure deficit in Xinjiang in recent 60 years[J]. Arid Land Geography, 2023, 46(1): 1-10.]
[20]	Yuan W P, Zheng Y, Piao S L, et al. Increased atmospheric vapor pressure deficit reduces global vegetation growth[J]. Science Advances, 2019, 5: eaax1396, doi: 10.1126/sciadv.aax1396.
[21]	张继平, 刘春兰, 郝海广, 等. 基于MODIS GPP/NPP数据的三江源地区草地生态系统碳储量及碳汇量时空变化研究[J]. 生态环境学报, 2015, 24(1): 8-13. doi: 10.16258/j.cnki.1674-5906.2015.01.002
	[Zhang Jiping, Liu Chunlan, Hao Haiguang, et al. Spatial-temporal change of carbon storage and carbon sink of grassland ecosystem in the Three-River headwaters region based on MODIS GPP/NPP data[J]. Ecology and Environmental Sciences, 2015, 24(1): 8-13.]
[22]	He P X, Han Z M, He M Z, et al. Atmospheric dryness thresholds of grassland productivity decline in China[J]. Journal of Environmental Management, 2023, 338: 117780, doi: 10.1016/j.jenvman.2023.117780.
[23]	Christina M, Restaino D L, et al. Increased water deficit decreases Douglas fir growth throughout western US forests[J]. Proceedings of the National Academy of Sciences of the United States of America, 2016, 113(34): 9557-9562. doi: 10.1073/pnas.1602384113 pmid: 27503880
[24]	孟莹, 姜鹏, 方缘. 大气水分亏缺对中国两种典型草地生态系统总初级生产力的影响[J]. 生态学杂志, 2020, 39(11): 3633-3642.
	[Meng Ying, Jiang Peng, Fang Yuan. Contrasting impacts of vapor pressure deficit on gross primary productivity in two typical grassland ecosystems in China[J]. Chinese Journal of Ecology, 2020, 39(11): 3633-3642.] doi: 10.13292/j.1000-4890.202011.011
[25]	Wang S H, Zhang Y G, Ju W M, et al. Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data[J]. Science of the Total Environment, 2020, 755: 142569, doi: 10.1016/j.scitotenv.2020.142569.
[26]	Hamed K H. Trend detection in hydrologic data: The Mann-Kendall trend test under the scaling hypothesis[J]. Journal of Hydrology, 2008, 349(3-4): 350-363. doi: 10.1016/j.jhydrol.2007.11.009
[27]	崔亚婷, 李嬛, 郑龙啸, 等. 基于RSEI的黄河上游流域生态环境质量变化分析[J]. 中国沙漠, 2023, 43(3): 107-118. doi: 10.7522/j.issn.1000-694X.2022.00148
	[Cui Yating, Li Huan, Zheng Longxiao, et al. Study of ecological environmental quality changes in the upper Yellow River Basin based on remote sensing ecological index[J]. Journal of Desert Research, 2023, 43(3): 107-118.] doi: 10.7522/j.issn.1000-694X.2022.00148
[28]	王鹤松, 贾根锁, 冯锦明, 等. 我国北方地区植被总初级生产力的空间分布与季节变化[J]. 大气科学, 2010, 34(5): 882-890.
	[Wang Hesong, Jia Gensuo, Feng Jinming, et al. Spatial distribution and seasonality of gross primary production in northern China[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(5): 882-890.]
[29]	秦景秀, 郝兴明, 张颖, 等. 气候变化和人类活动对干旱区植被生产力的影响[J]. 干旱区地理, 2020, 43(1): 117-125.
	[Qin Jingxiu, Hao Xingming, Zhang Ying, et al. Effects of climate change and human activities on vegetation productivity in arid areas[J]. Arid Land Geography, 2020, 43(1): 117-125.]
[30]	苏冰倩, 王茵茵, 上官周平. 西北地区新一轮退耕还林还草规模分析[J]. 水土保持研究, 2017, 24(4): 59-65.
	[Su Bingqian, Wang Yinyin, Shangguan Zhouping. Analysis on the scale of a new period of returning farmland to forestland and grassland in northwest China[J]. Research of Soil and Water Conservation, 2017, 24(4): 59-65.]
[31]	张雪琪, 夏倩倩, 陈亚宁, 等. 近20a塔里木河生态输水对植被总初级生产力变化的影响[J]. 干旱区地理, 2021, 44(3): 718-728.
	[Zhang Xueqi, Xia Qianqian, Chen Yaning, et al. Effects of ecological water conveyance on gross primary productivity of vegetation in Tarim River in recent 20 years[J]. Arid Land Geography, 2021, 44(3): 718-728.]
[32]	程丹妮, 王颖琪, 程勇翔, 等. 新疆典型沙漠和绿洲植被-水汽-地表温度相关性分析[J]. 干旱区地理, 2022, 45(2): 456-466.
	[Cheng Danni, Wang Yingqi, Cheng Yongxiang, et al. Vegetation-water vapor-land surface temperature correlation analysis of typical deserts and oases in Xinjiang[J]. Arid Land Geography, 2022, 45(2): 456-466.]
[33]	沈永平, 苏宏超, 王国亚, 等. 新疆冰川, 积雪对气候变化的响应(I): 水文效应[J]. 冰川冻土, 2013, 35(3): 513-527. doi: 10.7522/j.issn.1000-0240.2013.0061
	[Shen Yongping, Su Hongchao, Wang Guoya, et al. The responses of glaciers and snow cover to climate change in Xinjiang (I): Hydrological effect[J]. Journal of Glaciology and Geocryology, 2013, 35(3): 513-527.] doi: 10.7522/j.issn.1000-0240.2013.0061
[34]	王伟, 阿里木·赛买提, 马龙, 等. 1986—2019年新疆湖泊变化时空特征及趋势分析[J]. 生态学报, 2022, 42(4): 1300-1314.
	[Wang Wei, Samat Alim, Ma Long, et al. Spatio-temporal variations and trend analysis of lake area in Xinjiang in 1986—2019[J]. Acta Ecologica Sinica, 2022, 42(4): 1300-1314.]

植被类型	占比类别	相关性
植被类型	占比类别	显著正相关	弱正相关	显著负相关	弱负相关
针叶林	植被区总占比	0.05	1.07	0.24	1.63
针叶林	类内占比	-1.65	-35.81	-8.13	-54.41
阔叶林	植被区总占比	0.10	0.78	0.07	0.93
阔叶林	类内占比	-5.48	-41.45	-3.51	-49.56
草甸	植被区总占比	0.15	0.65	0.11	0.78
草甸	类内占比	-9.07	-38.48	-6.37	-46.08
草地	植被区总占比	0.87	10.59	4.61	18.23
草地	类内占比	-2.52	-30.88	-13.45	-53.15
灌丛	植被区总占比	4.04	11.35	1.65	11.73
灌丛	类内占比	-14.05	-39.44	-5.75	-40.76
高山植被	植被区总占比	0.62	6.94	0.30	11.33
高山植被	类内占比	-3.20	-36.19	-1.55	-59.06
栽培植被	植被区总占比	2.57	5.70	0.27	2.64
栽培植被	类内占比	-22.99	-50.96	-2.43	-23.62
全疆植被覆盖区占比		8.40	37.08	7.25	47.27

Responses of vegetation gross primary production to vapor pressure deficit in Xinjiang

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 34

Related Articles 15

Metrics

Comments

Recommended 0

[1]	BAI Yang,HU Jingxuan,CHEN Chunyan,LU Wen. Regional differences and influencing factors of efficiency of tourism aid for Xinjiang: Based on three-stage DEA and Tobit model [J]. Arid Land Geography, 2023, 46(8): 1366-1375.
[2]	HUANG Xin, JIAO Li, MA Xiaofei, WANG Yonghui, Aerman ABULA. Change characteristics of extreme precipitation events in Central Asia in recent 60 years based on RClimDex model [J]. Arid Land Geography, 2023, 46(7): 1039-1051.
[3]	XIA Wenhao, WANG Mingyang, JIANG Lei. Spatiotemporal variation trends and convergence analysis of agricultural carbon emission intensity in Xinjiang [J]. Arid Land Geography, 2023, 46(7): 1145-1154.
[4]	YAO Lanbo, YE Jianming, WANG Yun, ZHU Xianwei. Spatiotemporal evolution and mechanism of coupling coordination of human settlements system in arid area: A case of Xinjiang [J]. Arid Land Geography, 2023, 46(6): 1013-1023.
[5]	YANG Rui, LI Jianyong, WANG Ninglian, CHEN Xiaojun, DU Jianfeng, LIU Jianbo, HAN Yueting. Holocene sediment element geochemical records and their paleoenvironmental significance in Wenquan area of western Tianshan Mountains [J]. Arid Land Geography, 2023, 46(6): 900-910.
[6]	ZHANG Lieqin, LU Yi’nong, LONG Zhen, LI Qinglei, WANG Tao. Spatial distribution pattern of cultural tourism in Xinjiang [J]. Arid Land Geography, 2023, 46(5): 823-833.
[7]	YAN Xinjie, SUN Hui, XIN Long. Spatial distribution and location choice of resource-based enterprises in Xinjiang [J]. Arid Land Geography, 2023, 46(4): 678-687.
[8]	ZHANG Ning,WANG Zichen,YANG Xiao,CHEN Tong,XING Fei. Coupling coordination and spatiotemporal differences between water resources and agriculture cropping system in Xinjiang: A case of grain and cotton cropping systems [J]. Arid Land Geography, 2023, 46(3): 349-359.
[9]	MA Li’na, ZHANG Feiyun, ZHAI Yuxin, TENG Lun, KANG Jianguo. Temporal and spatial evolution of ecosystem service value under land use change in Xinjiang from 1980 to 2020 [J]. Arid Land Geography, 2023, 46(2): 253-263.
[10]	YU Qiying, HU Caihong, BAI Yungang, LU Zhenlin, CAO Biao, LIU Fuyu, LIU Chengshuai. Application of snowmelt runoff model in flood forecasting and warning in Xinjiang [J]. Arid Land Geography, 2023, 46(12): 1951-1962.
[11]	WANG Zhiqiang, JIANG Wenhuan, LU Shiyue. Characteristics of “water-energy-carbon” coupling system in Xinjiang based on the ecological network analysis [J]. Arid Land Geography, 2023, 46(12): 2005-2016.
[12]	SUN Yu, LIU Weizhong, SHENG Yang. Spatiotemporal differences and influencing factors of economic and ecological resilience of water resources in Xinjiang based on the PSR model [J]. Arid Land Geography, 2023, 46(12): 2017-2028.
[13]	MA Wenjiang, BAI Miaoqin, Adili AIHEMAITI, ZHANG Deping, YANG Zhongna. Spatial-temporal differentiation and driving factors analysis of green total factor productivity of Xinjiang grain under the carbon peaking and carbon neutrality goals [J]. Arid Land Geography, 2023, 46(12): 2029-2041.
[14]	BAI Yang, WU Jian, DOU Kailong, LU Wen, TAN Li’na, Halidan BAKE. Network structure and symbiotic development of tourism economy in Xinjiang Production and Construction Corps and local government [J]. Arid Land Geography, 2023, 46(12): 2086-2097.
[15]	JIANG Lei, LIU Xiaolong, GUO Shuai, HE Liang, XING Jianlei, GUO Junjie. Evaluation of soil salinization susceptibility based on Logistic regression analysis: A case of Tarim irrigation area in southern Xinjiang [J]. Arid Land Geography, 2023, 46(11): 1858-1867.