基于土地利用的江苏省各市生态系统服务价值时空变化研究

doi:10.12302/j.issn.1000-2006.202109012

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南京林业大学学报（自然科学版） ›› 2023, Vol. 47 ›› Issue (4): 200-208.doi: 10.12302/j.issn.1000-2006.202109012

基于土地利用的江苏省各市生态系统服务价值时空变化研究

戚丽萍¹^,²(), 栾兆擎¹^,^*(), 魏勉², 闫丹丹¹, 李静泰¹, 么秀颖¹, 刘垚¹, 谢思荧¹, 盛昱凤¹

1.南京林业大学生物与环境学院,南方现代林业协同创新中心,江苏南京 210037
2.盱眙县城乡规划服务中心,江苏盱眙 211700

收稿日期:2021-09-06 修回日期:2021-12-03 出版日期:2023-07-30 发布日期:2023-07-20
通讯作者: * 栾兆擎(luanzhaoqing@njfu.edu.cn),教授。
作者简介:戚丽萍(2453043157@qq.com)。
基金资助:
国家自然科学基金项目(41871097);国家自然科学基金项目(41471078);江苏高校优势学科建设工程资助项目(PAPD)

Spatial and temporal variations of ecosystem service values in Jiangsu Province based on land-use change

QI Liping¹^,²(), LUAN Zhaoqing¹^,^*(), WEI Mian², YAN Dandan¹, LI Jingtai¹, YAO Xiuying¹, LIU Yao¹, XIE Siying¹, SHENG Yufeng¹

1. College of Biology and the Environment, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
2. Natural Resources and Planning Bureau of Xuyi County, Xuyi 211700, China

Received:2021-09-06 Revised:2021-12-03 Online:2023-07-30 Published:2023-07-20

摘要/Abstract

摘要：

【目的】土地利用变化必然改变生态系统结构进而导致生态系统服务价值产生变化。探究江苏省长时间序列的生态系统服务价值与土地利用变化的关系,为江苏省生态可持续发展与土地利用规划管理提供科学依据。【方法】以江苏省为研究区,基于1980—2020年每隔10 a的各市土地利用数据,建立土地利用转移矩阵,分析江苏省土地利用变化特征。采用单位面积价值当量法计算不同时期江苏省各地级市及不同区域的生态系统服务价值;借助GIS技术进行生态系统服务价值空间插值分析(IDW),分析江苏省生态系统服务价值时空动态;利用弹性系数计算土地利用变化率以及生态系统服务价值变化率比值,揭示土地利用变化对生态系统服务价值的响应规律。【结果】1980—2020年的土地利用转移矩阵结果显示,江苏省土地转出量最大的是耕地,转入量最大的是建设用地,其中土地利用转移最主要的方式是耕地转为建设用地。基于单位面积价值法计算结果表明,研究期内江苏省总生态系统服务价值呈上升趋势,不同生态系统服务类型中,水文调节价值最大,水资源供给价值最小。从不同城市角度来看,苏州、盐城、淮安的总生态系统服务价值较高,空间插值分析结果显示,江苏省总生态系统服务价值在长时间序列中表现出明显的连续性与差异性,总体呈现东高西低、南高北低的特征。弹性系数结果显示,高弹性值的区域相对主要集聚于东部沿海,中弹性值的区域相对广泛呈片状分布,低弹性值的区域分布相对分散。【结论】江苏省土地利用变化显著,生态系统服务高值分布与土地利用类型覆盖面积以及生态系统服务价值系数有重要关系,土地利用变化对生态系统服务价值产生影响,同时决定了生态系统服务价值的弹性变化。生态系统服务价值的系数越高,其对土地利用变化越敏感。

关键词: 土地利用, 生态系统服务价值, 时空动态, 弹性分析

Abstract:

【Objective】Land-use change has an important impact on ecosystem service values. Affected by natural climate change and human activities, land-use in Jiangsu Province has undergone dramatic changes, and changes in the ecosystem structure have led to changes in ecosystem service values. By exploring the relationship between the long-term sequence of ecosystem service values and land-use changes in Jiangsu Province, this study provides a scientific basis for sustainable ecological development and land-use planning and management in Jiangsu Province.【Method】 Taking Jiangsu as the research areas, based on the land-use data of each city from 1980 to 2020, the land use transfer matrix was established to analyze the characteristics of land-use changes in Jiangsu Province. The unit area value equivalent method was used to calculate the ecosystem service values of the prefecture-level cities and regions in Jiangsu Province in different periods. Spatial interpolation analysis of ecosystem service values was conducted using GIS technology to explore the spatiotemporal dynamics of ecosystem service values in Jiangsu Province. The elastic coefficient was used to calculate the ratio of the rate of change in land use to the rate of change in ecosystem service values to explore the response of ecosystem service values to land-use changes. 【Result】The amount of cultivated land transferred out was the largest from 1980 to 2020, and the amount of construction land transferred in was the largest. The conversion of cultivated land to construction land is the most important way of land-use transfer in Jiangsu Province, and wetlands are mainly converted to cultivated land. The calculation results based on the unit area value method show that the total ecosystem service value of Jiangsu Province keeps increasing. During the study period, the hydrological regulation value was the largest and the water supply value was the smallest for different ecosystem service types. From the perspective of different cities, the total ecosystem service values of Suzhou, Yancheng and Huai'an were relatively high. The results of the spatial interpolation analysis showed that the total ecosystem service values of Jiangsu Province had obvious continuity and differences over a long time series, which was generally high in the east and low in the west, and high in the south and low in the north. The elastic coefficient results showed that regions with high elastic values were mainly located in the eastern coastal area, regions with medium elastic values were relatively widely distributed as flakes, and regions with low elastic values were relatively dispersed. 【Conclusion】The land-use change in Jiangsu Province was significant. The distribution of high value ecosystem services has an important relationship with the coverage of land-use types and ecosystem service value coefficients. Land-use changes affect the value of ecosystem services and simultaneously determine the elastic changes in ecosystem service values. The higher the ecosystem service value coefficient, the more sensitive the ecosystem service value is to land-use changes.

Key words: land use, ecosystem service value, spatiotemporal dynamics, elasticity analysis

中图分类号:

X171.1

戚丽萍,栾兆擎,魏勉,等. 基于土地利用的江苏省各市生态系统服务价值时空变化研究[J]. 南京林业大学学报（自然科学版）, 2023, 47(4): 200-208.

QI Liping, LUAN Zhaoqing, WEI Mian, YAN Dandan, LI Jingtai, YAO Xiuying, LIU Yao, XIE Siying, SHENG Yufeng. Spatial and temporal variations of ecosystem service values in Jiangsu Province based on land-use change[J].Journal of Nanjing Forestry University (Natural Science Edition), 2023, 47(4): 200-208.DOI: 10.12302/j.issn.1000-2006.202109012.

图/表 7

图1

表1

Matrix of the change of land use types in the Jiangsu Province from 1980 to 2020单位:hm2"

年份 year	土地利用类型 land use type	耕地 farmland	林地 forest land	滨海湿地 coastal wetland	湖泊湿地 lake wetland	河流湿地 riverine wetland	建设用地 construction land	未利用地 unused land
1980—1990	耕地farmland	7 371 760	4 931	560	25 493	5 381	37 347	11
	林地forest land	5 183	327 684	16	479	233	1 427	119
	滨海湿地coastal wetland	563	100	233 586	2 853	7 815	21 355	100
	湖泊湿地lake wetland	11 534	2 120	162	794 049	11 091	1 254	7
	河流湿地riverine wetland	8 718	8 741	72	25 205	377 536	1 606	0
	建设用地construction land	34 469	868	193	998	1 122	995 742	4
	未利用地unused land	14	24	0	13	0	7	1 566
	耕地farmland	7 189 618	5 190	474	31 771	6 696	198 486	6
	林地forest land	3 160	336 560	89	1 638	396	2 613	10
	滨海湿地coastal wetland	9 573	58	206 875	8 764	1 037	8 255	26
1990—2000	湖泊湿地lake wetland	7 491	1 052	714	836 785	1 573	1 467	9
	河流湿地riverine wetland	5 311	1 297	4 649	14 013	376 484	1 425	0
	建设用地construction land	32 876	197	423	487	451	1 024 305	0
	未利用地unused land	0	6	0	5	0	0	1 794
	耕地farmland	6 879 010	7 909	480	52 729	7 993	299 896	12
	林地forest land	5 540	326 229	7	5 430	1 269	5847	38
	滨海湿地coastal wetland	4 026	77	190 589	10 265	6 339	1928	0
2000—2010	湖泊湿地lake wetland	15 018	523	556	856 996	12 490	7 826	54
	河流湿地riverine wetland	8 866	143	1 968	16 356	354 462	4 842	0
	建设用地construction land	48 554	1 082	193	2 661	1 481	1 182 573	6
	未利用地unused land	11	132	10	208	0	9	1 475
	耕地farmland	5 629 071	92 695	2 698	179 989	79 897	973 564	3 111
	林地forest land	109 342	166 694	506	10 956	8 323	38 256	2 018
	滨海湿地coastal wetland	10 013	0	114 397	52 458	5 606	9 644	1 685
2010—2020	湖泊湿地lake wetland	158 265	7 887	2 036	695 036	21 592	59 301	528
	河流湿地riverine wetland	96 824	2 465	0	22 698	219 687	41 991	369
	建设用地construction land	699 564	24 870	3 044	93 815	26 355	654 139	1 136
	未利用地unused land	535	256	0	213	0	275	306
	耕地farmland	5 772 045	98 772	2 034	214 698	86 652	1 267 791	3 491
	林地forest land	108 537	165 864	119	10 625	7563	40 387	2 045
	滨海湿地coastal wetland	35 808	5	111 855	85 466	9 839	21 714	1 684
1980—2020	湖泊湿地lake wetland	117 598	7 056	2 998	629 983	17 398	44 686	498
	河流湿地riverine wetland	106 807	5 894	2 563	45 862	220 021	40 425	306
	建设用地construction land	562 306	16 973	3 102	68 343	19 986	361 898	788
	未利用地unused land	512	303	10	187	0	270	341

表1

表2

图2

图3

图4

图5

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一级类型 first-class	二级类型 second-class	耕地 farmland	林地 forest land	滨海湿地 coastal wetland	湖泊湿地 lake wetland	河流湿地 riverine wetland	建设用地 construction land
供给服务 provisioning service	食物生产	12 337.29	5 638.31	9 523.73	7 313.05	470.04	55.82
	原料生产	2 735.42	12 951.36	8 527.99	4 075.21	1 283.97	167.47
	水资源供给	14 570.28	6 698.98	0.00	60 737.40	107 239.48	111.65
调节服务 regulating services	气体调节	9 936.82	42 594.34	3 126.19	61 909.73	6 1965.55	725.72
	气候调节	5 191.71	127 448.06	0.00	32 880.82	12 783.88	558.25
	净化环境	1 507.27	37 346.80	4 354.34	31 931.80	7 625.67	2 288.82
	水文调节	16 691.62	83 402.28	174 005.96	570 752.96	135 263.54	1 339.80
支持服务 supporting services	土壤保持	5 805.78	51 861.26	512 354.61	1 8087.24	5 191.71	837.37
	养分循环	1 730.57	3 963.56	242 046.87	1 395.62	390.77	55.82
	生物多样性	1 898.04	47 227.80	5 025.91	58 169.46	24 004.67	781.55
文化服务 cultural services	美学景观	837.37	20 711.01	4 703.30	36 956.03	2 634.93	334.95
合计total		44 101.61	439 843.76	963 668.90	884 209.32	358 854.22	7 257.23

基于土地利用的江苏省各市生态系统服务价值时空变化研究

Spatial and temporal variations of ecosystem service values in Jiangsu Province based on land-use change

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