1970-2015年大别山区生态服务价值尺度响应特征及地理探测机制

doi:10.11821/dlxb201909015

Abstract

Abstract:

Ecosystem services play an important role in regional ecological balance, ecosystem health, land and ecological security, and global climate change. The response characteristics of scale and the spatial differentiation mechanism of the ecological service value are worth discussing. Taking the Dabie Mountain area located in central China as the research object, based on the data of land use classification, this paper applied the methods of spatial statistics, hot spot analysis and geographical detector to examine the dynamic evolution characteristics, scale effect and spatial differentiation mechanism of the ecological service value of Dabie Mountain area from 1970 to 2015. The results show that over the 50 years, the overall value of ecological services in the Dabie Mountain area increased by 951 million yuan, while in recent years it decreased by 395 million yuan, accounting for 41.54% of the total value added. Scale is helpful for understanding the pattern and process of ecosystem. To strengthen the study of scale characteristics in the evaluation of ecosystem service function can improve the objectivity, credibility and practicability of the evaluation results. Therefore, in this paper, we made a comparative analysis through the scale of four types, which includes 9-level amplitude. The results show that the unit scale of township is the characteristic scale of the spatial differentiation of ecological service value in Dabie Mountain area, and the spatial difference information of the ecological service value at the township unit scale is rich, and the type of township unit scale is a more appropriate research scale level in the study area. To strengthen the geographical exploration of the spatial differentiation of ecosystem service value will be helpful to carry out regional ecological planning and ecosystem regulation. In this study, we analyzed the spatial differentiation mechanism of ecosystem service value in Dabie Mountain area by using the geographical detector. The results show that the explanatory power q value of the ecological land use proportion, land use degree and human influence composite index among the 16 influencing factors contributing to the spatial differentiation of ecological service value is nearly 40%, which is the main reason for the spatial differentiation. Elevation and slope factor q value is nearly 30%, which is a secondary factor. There are mainly three categories and 30 types of interaction combinations with an interactive detection q value of more than 50%. The interaction and synergistic effects of natural factors, human disturbance factors and landscape pattern factors enhance the explanatory power of spatial differentiation of ecological service value. Our work may provide a theoretical basis for the precise and diversified regulation of ecosystem functions in Dabie Mountain area.

Key words: ecosystem service value, scale response, spatial differentiation, geographic exploration mechanism, Dabie Mountain area

HUANG Muyi, YUE Wenze, FANG Bin, FENG Shaoru. Scale response characteristics and geographic exploration mechanism of spatial differentiation of ecosystem service values in Dabie Mountain area, central China from 1970 to 2015[J].Acta Geographica Sinica, 2019, 74(9): 1904-1920.

Figures/Tables 10

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服务类型		土地类型
一级类型	二级类型	农田	林地	草地	水域	未利用地
S₁供给服务	S₁₁食物生产	782.01	258.06	336.26	414.47	15.64
	S₁₂原材料生产	304.98	2330.39	281.53	273.70	31.28
	小计	1086.99	2588.45	617.79	688.17	46.92
S₂调节服务	S₂₁气体调节	563.05	3378.28	1173.02	398.83	46.92
	S₂₂气候调节	758.55	3182.78	1219.94	1610.94	101.66
	S₂₃水文调节	602.15	3198.42	1188.65	14678.32	54.74
	S₂₄废物处理	1086.99	1345.06	1032.25	11612.85	203.32
	小计	3010.74	11104.54	4613.86	28300.94	406.64
S₃支持服务	S₃₁保持土壤	1149.55	3143.68	1751.70	320.63	132.94
	S₃₂维持生物多样性	797.65	3526.87	1462.36	2682.29	312.80
	小计	1947.20	6670.55	3214.06	3002.92	445.74
S₄文化服务	S₄₁美学景观	132.95	1626.58	680.35	3472.12	187.68
S₄文化服务	小计	132.95	1626.58	680.35	3472.12	187.68
合计		6177.88	21990.12	9126.06	35464.15	1086.99

大别山区ESV总量变化特征(亿元)		大别山区整体	安徽省区域	湖北省区域	河南省区域	核心区域
1970年		930.22	447.18	287.87	195.17	169.03
1980年		937.06	452.30	290.08	194.67	169.68
2000年		931.12	452.07	287.65	191.39	168.57
2005年		933.87	451.37	288.79	193.70	169.03
2010年		943.68	450.74	291.41	201.53	168.94
2015年		939.73	449.73	289.42	200.58	168.53
拐点期间变化率(%)	1970-1980年	0.73	1.15	0.77	-0.26	0.38
	1980-2000年	-0.63	-0.05	-0.84	-1.68	-0.65
	2000-2010年	1.35	-0.29	1.31	5.30	0.22
	2010-2015年	-0.42	-0.23	-0.68	-0.47	-0.24
	1970-2015年	1.02	0.57	0.54	2.77	-0.30

因子指标	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈
q统计量	0.2965	0.2490	0.1512	0.1465	0.1844	0.0615	0.0482	0.3895
P值	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0045	0.0000
因子指标	X₉	X₁₀	X₁₁	X₁₂	X₁₃	X₁₄	X₁₅	X₁₆
q统计量	0.3909	0.0654	0.1672	0.1794	0.1665	0.0701	0.1807	0.3953
P值	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000

X_i∩X_j	q(X_i)	q(X_j)	q(X_i∩X_j)	交互类型	X_i∩X_j	q(X_i)	q(X_j)	q(X_i∩X_j)	交互类型
X₉∩X₁₃	0.3909	0.1665	0.6212	非线性增强	X₈∩X₁₅	0.3895	0.1807	0.5157	双因子增强
X₉∩X₂	0.3909	0.2490	0.6005	双因子增强	X₈∩X₇	0.3895	0.0482	0.5026	非线性增强
X₉∩X₆	0.3909	0.0615	0.5946	非线性增强	X₁₆∩X₁₃	0.3953	0.1665	0.5976	非线性增强
X₉∩X₅	0.3909	0.1844	0.5481	双因子增强	X₁₆∩X₁₀	0.3953	0.0654	0.5614	非线性增强
X₉∩X₁₀	0.3909	0.0654	0.5460	非线性增强	X₁₆∩X₆	0.3953	0.0615	0.5417	非线性增强
X₉∩X₄	0.3909	0.1465	0.5368	双因子增强	X₁₆∩X₄	0.3953	0.1465	0.5389	双因子增强
X₉∩X₃	0.3909	0.1512	0.5194	双因子增强	X₁₆∩X₂	0.3953	0.2490	0.5372	双因子增强
X₉∩X₁₅	0.3909	0.1807	0.5034	双因子增强	X₁₆∩X₅	0.3953	0.1844	0.5331	双因子增强
X₈∩X₁₃	0.3895	0.1665	0.5905	非线性增强	X₁₆∩X₃	0.3953	0.1512	0.5088	双因子增强
X₈∩X₂	0.3895	0.2490	0.5701	双因子增强	X₁₆∩X₁₁	0.3953	0.1672	0.5008	双因子增强
X₈∩X₁₀	0.3895	0.0654	0.5538	非线性增强	X₁∩X₉	0.2965	0.3909	0.6133	双因子增强
X₈∩X₃	0.3895	0.1512	0.5327	双因子增强	X₁∩X₁₁	0.2965	0.1672	0.5551	非线性增强
X₈∩X₅	0.3895	0.1844	0.5330	双因子增强	X₁∩X₁₆	0.2965	0.3953	0.5514	双因子增强
X₈∩X₆	0.3895	0.0615	0.5242	非线性增强	X₁∩X₈	0.2965	0.3895	0.5334	双因子增强
X₈∩X₄	0.3895	0.1465	0.5168	双因子增强	X₁∩X₁₄	0.2965	0.0701	0.5012	非线性增强

Scale response characteristics and geographic exploration mechanism of spatial differentiation of ecosystem service values in Dabie Mountain area, central China from 1970 to 2015

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[1]	SONG Weixuan, CHEN Yanru, SUN Jie, HE Miao. Spatial differentiation of urban housing prices in integrated region of Yangtze River Delta [J]. Acta Geographica Sinica, 2020, 75(10): 2109-2125.
[2]	LIU Licheng, LIU Chunfang, WANG Chuan, LI Pengjie. Supply and demand matching of ecosystem services in loess hilly region: A case study of Lanzhou [J]. Acta Geographica Sinica, 2019, 74(9): 1921-1937.
[3]	YANG Ren. Spatial differentiation and mechanisms of typical rural areas in the suburbs of a metropolis: A case study of Beicun Village, Baiyun District, Guangzhou [J]. Acta Geographica Sinica, 2019, 74(8): 1622-1636.
[4]	WANG Qun, YIN Mahua, YANG Xingzhu, YAO Zhaozhao. Spatio-temporal evolution and impact mechanism of socio-ecological system vulnerability in poor mountainous tourist distinations: Taking Dabie Mountain Area as example [J]. Acta Geographica Sinica, 2019, 74(8): 1663-1679.
[5]	ZHAO Meifeng,QI Wei,LIU Shenghe. Spatial differentiation and formation mechanism of floating population communities in Beijing [J]. Acta Geographica Sinica, 2018, 73(8): 1494-1512.
[6]	LIU Yanjun,YU Huisheng,LIU Degang,ZHU Liyuan. Spatial differentiation mechanisms of the pattern evolution of construction land development intensity in Northeast China [J]. Acta Geographica Sinica, 2018, 73(5): 818-831.
[7]	FENG Jian,ZHONG Yichun. Restructuring of social space in Beijing from 2000 to 2010 [J]. Acta Geographica Sinica, 2018, 73(4): 711-737.
[8]	SONG Weixuan,MA Yuzhu,LI Xiaoli,CHEN Yanru. Housing price growth in different residences in urban Nanjing: Spatiotemporal pattern and social spatial effect [J]. Acta Geographica Sinica, 2018, 73(10): 1880-1895.
[9]	Guoqi LI, Fengjun JIN, Yu CHEN, Jingjuan JIAO, Sijing LIU. Location characteristics and differentiation mechanism of logistics industry based on points of interest:A case study of Beijing [J]. Acta Geographica Sinica, 2017, 72(6): 1091-1103.
[10]	Shaojian WANG, Yang WANG, Xueqin LIN, Hong'ou ZHANG. Spatial differentiation patterns and influencing mechanism of housing prices in China: Based on data of 2872 counties [J]. Acta Geographica Sinica, 2016, 71(8): 1329-1342.
[11]	Fang LIU, Huimin YAN, Jiyuan LIU, Xiangming XIAO, Yuanwei QIN. Spatial pattern of land use intensity in China in 2000 [J]. Acta Geographica Sinica, 2016, 71(7): 1130-1143.
[12]	Chunshan ZHOU, Yan BIAN, Guojun ZHANG, Jincan HU. Spatial differentiation and the formation mechanism of the middle class areas in Guangzhou [J]. Acta Geographica Sinica, 2016, 71(12): 2089-2102.
[13]	WANG Wei,WANG Chengjin. Spatial evolution of coal transportation of coastal ports in China [J]. Acta Geographica Sinica, 2016, 71(10): 1752-1766.
[14]	Chuanglin FANG, Yan WANG. A comprehensive assessment of urban vulnerability and its spatial differentiation in China [J]. Acta Geographica Sinica, 2015, 70(2): 234-247.
[15]	LI Pingxing, CHEN Wen, SUN Wei. Spatial differentiation and influencing factors of rural territorial multifunctions in developed regions：A case study of Jiangsu Province [J]. Acta Geographica Sinica, 2014, 69(6): 797-807.