Spatio-temporal distribution pattern of potential natural vegetation and its response to climate change from Last Interglacial to future 2070s in China

Zheng-chao REN; Hua-zhong ZHU; Hua SHI; Xiao-ni LIU

doi:10.31497/zrzyxb.20200619

Journals >Journal of Natural Resources >Volume 35 >Issue 6 >Page 1484 > Article

Journal of Natural Resources
Vol. 35, Issue 6, 1484 (2020)

Spatio-temporal distribution pattern of potential natural vegetation and its response to climate change from Last Interglacial to future 2070s in China

Zheng-chao REN^1、2、*, Hua-zhong ZHU³, Hua SHI⁴, and Xiao-ni LIU⁵

Author Affiliations

¹College of Finance and Economics, Gansu Agricultural University, Lanzhou 730070, China

²Research Center of Ecological Construction and Environmental Conservation in Gansu Province, Lanzhou 730070, China

³Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China

⁴Earth Resources Observation and Science (EROS) Center, ASRC Federal InuTeq, Contractor to the U.S. Geological Survey (USGS), Sioux Falls 57198, USA

⁵College of Pratacultural Science, Gansu Agricultural University, Lanzhou 730070, China

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DOI: 10.31497/zrzyxb.20200619 Cite this Article

Zheng-chao REN, Hua-zhong ZHU, Hua SHI, Xiao-ni LIU. Spatio-temporal distribution pattern of potential natural vegetation and its response to climate change from Last Interglacial to future 2070s in China[J]. Journal of Natural Resources, 2020, 35(6): 1484 Copy Citation Text

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Spatial distribution pattern and its variation of super-classes for potential natural vegetation from Last Interglacial to future 2070s in China

Fig. 1. Spatial distribution pattern and its variation of super-classes for potential natural vegetation from Last Interglacial to future 2070s in China

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Fig. 2. Spatio-temporal pattern evolution of super-classes for potential natural vegetation from Last Interglacial to future 2070s in China

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Fig. 3. Spatio-temporal distribution pattern of annual accumulated temperature ≥0 ℃ (Σθ) and humidity (K) from Last Interglacial to future 2070s in China

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Fig. 4. Comparison of spatial distribution of super-classes for potential natural vegetation coming from two different data sources during Present-Day in China

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Fig. 5. Geometrical center, shifting distance and direction of super-classes for potential natural vegetation during different periods in China

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k	一致性程度
0~0.05	极差
0.05~0.20	非常差
0.20~0.40	差
0.40~0.55	一般
0.55~0.70	好
0.70~0.85	非常好
0.85~0.99	优秀
0.99~1.00	极好

Table 1. Degree of agreement represented by Kappa statistics

时期	已划分类型	未划分类型	数量/个
LIG	IIA2、IIIA3、IVA4、VA5、IB8、IIB9、IIIB10、IVB11、VB12、VIB13、VIIB14、IC15、IIC16、IIIC17、IVC18、VC19、VIC20、VIIC21、ID22、IID23、IIID24、IVD25、VD26、VID27、VIID28、IE29、IIE30、IIIE31、IVE32、VE33、VIE34、VIIE35、IF36、IIF37、IIIF38、IVF39、VF40、VIF41、VIIF42	IA1、VIA6、VIIA7	39
LGM	IA1、IIA2、IIIA3、IVA4、IB8、IIB9、IIIB10、IVB11、VIB13、IC15、IIC16、IIIC17、IVC18、VC19、VIC20、VIIC21、ID22、IID23、IIID24、IVD25、VD26、VID27、VIID28、IE29、IIE30、IIIE31、IVE32、VE33、VIE34、VIIE35、IF36、IIF37、IIIF38、IVF39、VF40、VIF41、VIIF42	VA5、VIA6、VIIA7、VB12、VIIB14	37
MH	IIA2、IIIA3、IVA4、VA5、IB8、IIB9、IIIB10、IVB11、VB12、VIIB14、IC15、IIC16、IIIC17、IVC18、VC19、VIC20、VIIC21、ID22、IID23、IIID24、IVD25、VD26、VID27、VIID28、IE29、IIE30、IIIE31、IVE32、VE33、VIE34、VIIE35、IF36、IIF37、IIIF38、IVF39、VF40、VIF41、VIIF42	IA1、VIA6、VIIA7、VIB13	38
PD	IA1、IIA2、IIIA3、IVA4、VA5、IB8、IIB9、IIIB10、IVB11、VB12、VIB13、VIIB14、IC15、IIC16、IIIC17、IVC18、VC19、VIC20、VIIC21、ID22、IID23、IIID24、IVD25、VD26、VID27、VIID28、IE29、IIE30、IIIE31、IVE32、VE33、VIE34、VIIE35、IF36、IIF37、IIIF38、IVF39、VF40、VIF41、VIIF42	VIA6、VIIA7	40
2050s	IIA2、IIIA3、IVA4、VA5、VIA6、IB8、IIB9、IIIB10、IVB11、VB12、VIB13、VIIB14、IC15、IIC16、IIIC17、IVC18、VC19、VIC20、VIIC21、ID22、IID23、IIID24、IVD25、VD26、VID27、VIID28、IE29、IIE30、IIIE31、IVE32、VE33、VIE34、VIIE35、IF36、IIF37、IIIF38、IVF39、VF40、VIF41、VIIF42	IA1、VIIA7	40
2070s	IIA2、IIIA3、IVA4、VA5、VIA6、IB8、IIB9、IIIB10、IVB11、VB12、VIB13、VIIB14、IC15、IIC16、IIIC17、IVC18、VC19、VIC20、VIIC21、ID22、IID23、IIID24、IVD25、VD26、VID27、VIID28、IE29、IIE30、IIIE31、IVE32、VE33、VIE34、VIIE35、IF36、IIF37、IIIF38、IVF39、VF40、VIF41、VIIF42	IA1、VIIA7	40

Table 2. Temporal pattern and its variation of potential natural vegetation classes in China

类组	LIG		LGM		MH		PD		2050s		2070s
类组	面积/ 万km²	比例/ %	面积/ 万km²	比例/ %	面积/ 万km²	比例/ %	面积/ 万km²	比例/ %	面积/ 万km²	比例/ %	面积/ 万km²	比例/ %
冻原和高山草地	142.4	14.8	269.0	27.9	183.6	19.1	207.7	21.6	121.4	12.6	124.1	12.9
冷荒漠	140.2	14.6	133.1	13.8	128.9	13.4	130.3	13.5	94.3	9.8	94.1	9.8
半荒漠	177.6	18.4	78.5	8.1	84.6	8.8	78.8	8.2	91.4	9.5	93.1	9.7
斯泰普	73.4	7.6	53.8	5.6	41.9	4.3	53.1	5.5	74.0	7.7	76.2	7.9
温带湿润草地	41.2	4.3	74.9	7.8	62.5	6.5	58.1	6.0	59.4	6.2	61.5	6.4
温带森林草地	233.4	24.2	284.8	29.6	270.7	28.1	218.7	22.7	233.4	24.2	227.1	23.6
热荒漠	4.0	0.4	N/A	N/A	1.5	0.2	0.8	0.1	45.8	4.8	45.3	4.7
亚热带森林草地	146.4	15.2	67.9	7.0	183.7	19.1	196.6	20.4	208.8	21.7	207.5	21.5
萨王纳	1.4	0.1	0.4	0.0	0.6	0.1	1.3	0.1	2.0	0.2	2.0	0.2
热带森林草地	3.4	0.4	1	0.1	5.4	0.6	18.0	1.9	32.9	3.4	32.5	3.4
总计	963.4	100.0	963.4	100.0	963.4	100.0	963.4	100.0	963.4	100.0	963.4	100.0

Table 3. The distribution area and ratio of super-classes for potential natural vegetation from Last Interglacial to future 2070s in China

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