Analysis of the Spatio-temporal Evolution of Land Intensive Use and Land Ecological Security in Tianjin from 1980 to 2019

doi:10.5814/j.issn.1674-764x.2021.03.006

Abstract

Abstract:

The problem of land ecological security directly threatens the sustainable development of many regions, and exploring the spatio-temporal characteristics of land ecological security is helpful for analyzing the land ecological patterns between regions and over time. Based on the interpretation of remote sensing image data for Tianjin in 1980, 2000, 2010 and 2019, supported by software such as ArcGIS and GeoDa, the changes of land use in the study area are calculated by using the land use dynamic degree. Then, the land ecological security index and spatial autocorrelation analysis methods are used to study the spatial correlations and internal heterogeneity of land ecological security in each district in Tianjin. The results show that: (1) The land use of Tianjin has changed dramatically in the past 40 years: the building land has been expanding, while the farmland and barren have been shrinking continuously. (2) The overall level of land ecological security is in the high security area, and Jizhou District is the highest, while the Central areas and Binhai are low. (3) The spatial heterogeneity of land ecological security is not obvious, but the spatial agglomeration is strong.

Key words: land use change, ecological safety level, spatial heterogeneity, Tianjin City

LI Xuemei, LIU Qian, HAN Jie, YUAN Ping, LI Yamin. Analysis of the Spatio-temporal Evolution of Land Intensive Use and Land Ecological Security in Tianjin from 1980 to 2019[J]. Journal of Resources and Ecology, 2021, 12(3): 367-375.

Figures/Tables 8

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Grass land	Farmland	Building	Forest	Water	Barren	Salt pan	Data sources
0.0493	0.1425	0.6137	0.0258	0.0552	0.1135	0.0000	Xiao and Tian, 2014
0.1290	0.1691	0.3112	0.0708	0.0961	0.2238	0.0000	Wang et al., 2018
0.1600	0.3200	0.8500	0.1200	0.5300	0.8200	0.0000	Bai et al., 2019
0.0004	0.0276	0.0109	0.0059	0.0481	0.0025	0.0000	He et al., 2019
0.1500	0.9500	0.7200	0.1200	0.1600	0.0000	0.0000	Zhao et al., 2013
0.1600	0.3200	0.8500	0.1200	0.5300	0.8200	0.0000	Xu et al., 2016
0.0726	0.1916	0.3934	0.0427	0.1425	0.1572	0.0000	Hu et al., 2017
0.1600	0.3200	0.7200	0.1200	0.5300	0.8200	0.0000	Yang et al., 2010
0.0000	0.2156	0.3141	0.1518	0.1983	0.0000	0.0000	An et al., 2010
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0952	Mo et al., 2017
0.0726	0.1797	0.4903	0.0464	0.0664	0.1648	0.0952	This study

Grass land	Farmland	Building	Forest	Water	Barren	Salt pan	Data sources
0.0493	0.1425	0.6137	0.0258	0.0552	0.1135	0.0000	Xiao and Tian, 2014
0.1290	0.1691	0.3112	0.0708	0.0961	0.2238	0.0000	Wang et al., 2018
0.1600	0.3200	0.8500	0.1200	0.5300	0.8200	0.0000	Bai et al., 2019
0.0004	0.0276	0.0109	0.0059	0.0481	0.0025	0.0000	He et al., 2019
0.1500	0.9500	0.7200	0.1200	0.1600	0.0000	0.0000	Zhao et al., 2013
0.1600	0.3200	0.8500	0.1200	0.5300	0.8200	0.0000	Xu et al., 2016
0.0726	0.1916	0.3934	0.0427	0.1425	0.1572	0.0000	Hu et al., 2017
0.1600	0.3200	0.7200	0.1200	0.5300	0.8200	0.0000	Yang et al., 2010
0.0000	0.2156	0.3141	0.1518	0.1983	0.0000	0.0000	An et al., 2010
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0952	Mo et al., 2017
0.0726	0.1797	0.4903	0.0464	0.0664	0.1648	0.0952	This study

Land use type	1980		2000		2010		2019
Land use type	Area (ha)	Proportion (%)	Area (ha)	Proportion (%)	Area (ha)	Proportion (%)	Area (ha)	Proportion (%)
Grass land	13830.87	1.19	13328.76	1.14	13095.85	1.12	22033.59	1.89
Farmland	730818.61	62.75	676615.04	58.10	612309.14	52.58	566705.41	48.66
Building	158861.08	13.64	207869.66	17.85	276577.89	23.75	332985.14	28.59
Forest	42236.13	3.63	43419.37	3.73	43419.37	3.73	62396.20	5.36
Water	155709.61	13.37	164014.71	14.08	163056.45	14.00	137980.16	11.85
Barren	20526.58	1.76	17244.86	1.48	15033.68	1.29	8040.64	0.69
Salt pan	42574.56	3.66	42084.97	3.61	41084.97	3.53	35084.97	3.01

Land use type	1980		2000		2010		2019
Land use type	Area (ha)	Proportion (%)	Area (ha)	Proportion (%)	Area (ha)	Proportion (%)	Area (ha)	Proportion (%)
Grass land	13830.87	1.19	13328.76	1.14	13095.85	1.12	22033.59	1.89
Farmland	730818.61	62.75	676615.04	58.10	612309.14	52.58	566705.41	48.66
Building	158861.08	13.64	207869.66	17.85	276577.89	23.75	332985.14	28.59
Forest	42236.13	3.63	43419.37	3.73	43419.37	3.73	62396.20	5.36
Water	155709.61	13.37	164014.71	14.08	163056.45	14.00	137980.16	11.85
Barren	20526.58	1.76	17244.86	1.48	15033.68	1.29	8040.64	0.69
Salt pan	42574.56	3.66	42084.97	3.61	41084.97	3.53	35084.97	3.01

District	Grass land	Farmland	Building	Forest	Water	Barren	Salt pan
Jizhou	1.43	-0.67	1.10	1.24	0.05	0.00	0.00
Baodi	-1.43	-0.34	0.85	2.68	1.33	-0.29	0.00
Wuqing	-0.75	-0.44	1.13	3.83	1.78	7.23	0.00
Ninghe	-0.89	-0.15	2.84	-1.60	-0.62	8.07	0.00
Beichen	-1.84	-0.88	5.04	-1.82	-0.48	36.41	0.00
Xiqing	11.43	-1.17	6.40	0.76	-0.92	0.00	0.00
Dongli	2.93	-1.62	5.47	2.54	-0.26	0.00	0.00
Jinnan	11.56	-1.34	5.13	0.66	0.34	0.00	0.00
Central areas	0.00	-2.56	0.54	-0.30	4.23	0.00	0.00
Jinghai	0.39	-0.43	4.34	5.50	0.25	2.29	0.00
Binhai	1.42	-0.74	4.38	-1.67	-0.86	-1.87	-0.45