Spatial-Temporal Changes of NPP and Its Relationship with Climate Change in Karst Areas of Yunnan, Guizhou and Guangxi from 2000 to 2019

doi:10.16258/j.cnki.1674-5906.2021.12.002

Ecology and Environment ›› 2021, Vol. 30 ›› Issue (12): 2285-2293.DOI: 10.16258/j.cnki.1674-5906.2021.12.002

• Research Articles • Previous Articles Next Articles

Spatial-Temporal Changes of NPP and Its Relationship with Climate Change in Karst Areas of Yunnan, Guizhou and Guangxi from 2000 to 2019

MA Bingxin¹(), JING Juanli¹^,², XU Yong¹^,^*(), HE Hongchang¹, LIU Bing¹

1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541006, China

Received:2021-07-22 Online:2021-12-18 Published:2022-01-04
Contact: XU Yong

2000—2019年滇黔桂岩溶区植被NPP时空变化及与气候变化的关系研究

马炳鑫¹(), 靖娟利¹^,², 徐勇¹^,^*(), 何宏昌¹, 刘兵¹

1.桂林理工大学测绘地理信息学院,广西桂林 541006
2.广西空间信息与测绘重点实验室,广西桂林 541006

通讯作者: 徐勇
作者简介:马炳鑫（1996年生）,男,硕士研究生,研究方向为生态遥感。E-mail: 1654397198@qq.com
基金资助:
广西八桂学者专项项目;国家自然科学基金项目(42061059);广西自然科学基金项目(2020GXNSFBA297160);广西空间信息与测绘重点实验室资助课题(191851016)

Abstract

Abstract:

The Yunnan, Guizhou, and Guangxi karst areas belong to the fragile ecological environment. Monitoring the dynamic changes of NPP (Net Primary Production) and exploring the driving mechanism of climate change on NPP is useful for understanding the response characteristics of NPP in karst areas to climate change. Based on the MOD17A3 NPP data from 2000 to 2019, combined with site—based meteorological data during the same period, this paper uses trend analysis, Mann-Kendall significance test, R/S analysis and correlation analysis to study the NPP of vegetation in the karst areas of Yunnan, Guizhou and Guangxi. The characteristics of temporal and spatial changes and future trends of NPP, and the relationship between NPP and climate change in karst areas of Yunnan, Guizhou and Guangxi is discussed. The results of the study show: (1) The average NPP in the Yunnan, Guizhou, and Guizhou karst areas from 2000 to 2019 was 845.49 g∙m^-2∙a^-1, which showed a spatial distribution pattern of high in the south and low in the north region. During the past 20 years, the NPP showed a fluctuating upward trend, with an upward rate of 4.02 g∙m^-2∙a^-1. The area with an upward trend accounted for 80.19% of the total area, and the area with a significant increase accounted for 46.60%; (2) The future NPP in the study area will increase, and the same direction change trend in the future is far greater than the reverse change trend; (3) The temperature in the study area significantly promoted the NPP in the study area, while precipitation, relative humidity and sunshine hours had no significant effect on the vegetation NPP in the study area. The impact of climate change on NPP has obvious spatial heterogeneity. The response of NPP in karst areas to climate change varies greatly; (4) NPP has a higher response to the changes of temperature and sunshine hours in the first 0-1 months, and a higher response to the changes of precipitation and relative humidity in the first 2-3 months.

Key words: Karst areas, NPP, trend analysis, Mann-Kendall test, R/S analysis, correlation analysis

摘要：

滇黔桂岩溶区属于生态环境脆弱区,对其植被NPP（Net Primary Production）动态变化进行监测并探索其与气候变化的关系,对于研究区生态环境治理与保护具有重要意义。基于2000—2019年的MOD17A3 NPP数据,结合同期基于站点的气象数据,采用趋势分析、Mann-Kendall显著性检验、R/S分析及相关分析等方法,研究了滇黔桂岩溶区植被NPP的时空变化特征和未来趋势,并探讨了滇黔桂岩溶区植被NPP与气候变化之间的关系。研究结果表明：（1）2000—2019年滇黔桂岩溶区植被NPP均值为845.49 g∙m^-2∙a^-1（以C计）,空间上呈现南高北低的分布格局,20 a间植被NPP总体呈现波动上升趋势,上升速度为4.02 g∙m^-2∙a^-1,呈上升趋势的面积占总面积的80.19%,其中呈显著上升的区域占46.60%;（2）研究区未来植被NPP以上升趋势为主,且未来同向变化趋势远大于反向变化趋势;（3）研究区气温对研究区植被NPP呈现显著促进作用,而降水、相对湿度和日照时数对研究区植被NPP无明显作用。气候变化对植被NPP的影响有明显的空间异质性,不同地带岩溶区植被NPP对气候变化的响应程度相差较大;（4）植被NPP对前0—1月气温和日照时数变化响应程度较高,而对前2—3月降水及相对湿度变化响应程度较高。

关键词: 岩溶区, NPP, 趋势分析, Mann-Kendall检验, R/S分析, 相关性分析

CLC Number:

Q948
X17

MA Bingxin, JING Juanli, XU Yong, HE Hongchang, LIU Bing. Spatial-Temporal Changes of NPP and Its Relationship with Climate Change in Karst Areas of Yunnan, Guizhou and Guangxi from 2000 to 2019[J]. Ecology and Environment, 2021, 30(12): 2285-2293.

马炳鑫, 靖娟利, 徐勇, 何宏昌, 刘兵. 2000—2019年滇黔桂岩溶区植被NPP时空变化及与气候变化的关系研究[J]. 生态环境学报, 2021, 30(12): 2285-2293.

Figures/Tables 9

References 37

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变化类型 Change type	判断依据 Judgment based	面积占比 Area proportion/%
显著增加	S>0, \|Z\|>1.96	46.61
不显著增加	S>0, \|Z\|<1.96	33.58
显著减少	S<0, \|Z\|>1.96	15.13
不显著减少	S<0, \|Z\|<1.96	4.68

变化类型 Change type	判断依据 Judgment based	面积占比 Area proportion/%
显著增加	S>0, \|Z\|>1.96	46.61
不显著增加	S>0, \|Z\|<1.96	33.58
显著减少	S<0, \|Z\|>1.96	15.13
不显著减少	S<0, \|Z\|<1.96	4.68

变化类型 Change type	判断依据 Judgment based	面积占比 Area proportion/%
1. 强持续显著增加	S>0, \|Z\|>1.96, H>0.75	33.03
2. 强持续不显著增加	S>0, \|Z\|<1.96, H>0.75	8.20
3. 弱持续显著增加	S>0, \|Z\|>1.96, 0.5<H<0.75	13.27
4. 弱持续不显著增加	S>0, \|Z\|<1.96, 0.5<H<0.75	22.86
5. 反持续显著减少	S<0, \|Z\|>1.96, H<0.5	0.01
6. 反持续不显著减少	S<0, \|Z\|<1.96, H<0.5	1.16
7. 反持续不显著增加	S>0, \|Z\|<1.96, H<0.5	2.65
8. 反持续显著增加	S>0, \|Z\|>1.96, H<0.5	0.09
9. 弱持续不显著减少	S<0, \|Z\|<1.96, 0.5<H<0.75	8.27
10. 弱持续显著减少	S<0, \|Z\|>1.96, 0.5<H<0.75	0.72
11. 强持续不显著减少	S<0, \|Z\|<1.96, H>0.75	5.77
12. 强持续显著减少	S<0, \|Z\|>1.96, H>0.75	3.97

变化类型 Change type	判断依据 Judgment based	面积占比 Area proportion/%
1. 强持续显著增加	S>0, \|Z\|>1.96, H>0.75	33.03
2. 强持续不显著增加	S>0, \|Z\|<1.96, H>0.75	8.20
3. 弱持续显著增加	S>0, \|Z\|>1.96, 0.5<H<0.75	13.27
4. 弱持续不显著增加	S>0, \|Z\|<1.96, 0.5<H<0.75	22.86
5. 反持续显著减少	S<0, \|Z\|>1.96, H<0.5	0.01
6. 反持续不显著减少	S<0, \|Z\|<1.96, H<0.5	1.16
7. 反持续不显著增加	S>0, \|Z\|<1.96, H<0.5	2.65
8. 反持续显著增加	S>0, \|Z\|>1.96, H<0.5	0.09
9. 弱持续不显著减少	S<0, \|Z\|<1.96, 0.5<H<0.75	8.27
10. 弱持续显著减少	S<0, \|Z\|>1.96, 0.5<H<0.75	0.72
11. 强持续不显著减少	S<0, \|Z\|<1.96, H>0.75	5.77
12. 强持续显著减少	S<0, \|Z\|>1.96, H>0.75	3.97

Spatial-Temporal Changes of NPP and Its Relationship with Climate Change in Karst Areas of Yunnan, Guizhou and Guangxi from 2000 to 2019

2000—2019年滇黔桂岩溶区植被NPP时空变化及与气候变化的关系研究

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[1]	WU Chenyu, XU Fanfan, WEI Shibo, FAN Jingjing, LIU Guanpeng, WANG Kun. Study on Response of Surface Vegetation Cover to Climate Change in Weihe River Basin [J]. Ecology and Environment, 2023, 32(5): 835-844.
[2]	LIU Ziwei, GE Jiwen, WANG Yuehuan, YANG Shiyu, YAO Dong, XIE Jinlin. Variation Pattern and Influential Factors of Methane Flux in the Dajiuhu Peatland [J]. Ecology and Environment, 2023, 32(4): 706-714.
[3]	WANG Jiali, FENG Jingke, YANG Yuanzheng, ZU Jiaxing, CAI Wenhua, YANG Jian. Research on Spatial Relations between Impervious Surfaces and the Urban Thermal Environment in the Central Metropolitan Area of Nanning City [J]. Ecology and Environment, 2023, 32(3): 525-534.
[4]	RUAN Huihua, XU Jianhui, ZHANG Feifei. Spatiotemporal Changes of Vegetation and Land Surface Temperature during 2001 and 2020 in the Guangdong-Hong Kong-Macao Greater Bay Area of China [J]. Ecology and Environment, 2022, 31(8): 1510-1520.
[5]	CHEN Wenyu, XIA Lihua, XU Guoliang, YU Shiqin, CHEN Hang, CHEN Jinfeng. Dynamic Variation of NDVI and Its Influencing Factors in the Pearl River Basin from 2000 to 2020 [J]. Ecology and Environment, 2022, 31(7): 1306-1316.
[6]	LI Menghua, HAN Yingjuan, ZHAO Hui, WANG Yunxia. Analysis on Spatial-temporal Variation Characteristics and Driving Factors of Fractional Vegetation Cover in Ningxia Based on Geographical Detector [J]. Ecology and Environment, 2022, 31(7): 1317-1325.
[7]	LI Dengke, WANG Zhao. Quantitative Analysis of the Impact of Climate Change and Human Activities on Vegetation NPP in Shaanxi Province [J]. Ecology and Environment, 2022, 31(6): 1071-1079.
[8]	SUN Jianbo, CHANG Wenjun, LI Wenbin, ZHANG Shiqing, LI Chunqiang, PENG Ming. Dynamics of Soil Microbial Biomass and Enzyme Activities in Rhizosphere Soil at Different Growing Stages of Banana [J]. Ecology and Environment, 2022, 31(6): 1169-1174.
[9]	FU Yuhong, ZHANG Daijie, XIANG Jiao, ZHOU Yan, HUANG Zongsheng, YU Lifei. Topological Structure of Plant Roots of Different Underground Habitat Profiles in Karst Areas [J]. Ecology and Environment, 2022, 31(5): 865-874.
[10]	YANG Yuanyuan, SHE Zhipeng, SONG Jinxi, ZHU Dawei. Study on Vegetation Variation Characteristics and Influencing Factors in Different Geomorphic Zones in the Chanbahe River Basin since 2000 [J]. Ecology and Environment, 2022, 31(2): 224-230.
[11]	YANG Yan, ZHOU Decheng, GONG Zhaoning, LIU Ziyuan, ZHANG Liangxia. Ecological Vulnerability and Its Drivers of the Loess Plateau Based on Vegetation Productivity [J]. Ecology and Environment, 2022, 31(10): 1951-1958.
[12]	HE Rui, JIANG Ran, YANG Fang, ZHANG Xinfeng, LIN Jianluan, ZHU Xiaoping, PENG Songyao. Characteristics of Meso-zooplankton Community and Its Relationship with Environmental Factors in Sea Water near Maoming [J]. Ecology and Environment, 2022, 31(1): 142-150.
[13]	YUAN Weihao, WANG Hua, XIA Yubao, ZENG Yichuan, DENG Yanqing, LI Yuanyuan, ZHANG Xinyue. Relationship of Chlorophyll A and Water Quality Factors in Poyang Lake Based on GAM Model [J]. Ecology and Environment, 2021, 30(8): 1716-1723.
[14]	DENG Huiying, CHEN Lixin, YU Yongjiang, WANG Hong. Characteristics of Ozone Pollution Distribution and Its Correlation Analysis with Meteorological Factors in Wuyishan [J]. Ecology and Environment, 2021, 30(7): 1428-1435.
[15]	WANG Jinjie, ZHAO Anzhou, HU Xiaofeng. Spatiotemporal Distribution of Vegetation Net Primary Productivity in Beijing-Tianjin-Hebei and Natural Driving Factors [J]. Ecology and Environment, 2021, 30(6): 1158-1167.