Quantifying effects of socioeconomic development on urban landscape fragmentation

CHE Tong, LUO Yunjian

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2020, Vol. 44 ›› Issue (1) : 154-162.

PDF(4188 KB)
南京林业大学学报（自然科学版）
PDF(4188 KB)
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2020, Vol. 44 ›› Issue (1) : 154-162. DOI: 10.3969/j.issn.1000-2006.201807016

Quantifying effects of socioeconomic development on urban landscape fragmentation

Author information +
History +

Abstract

【Objective】 We analyzed spatial patterns of urban landscape fragmentation by taking Yangzhou City as a case study. Here, we further quantitatively explore the effects of socioeconomic factors on landscape fragmentation.【Method】 Multi data sources (e.g., Landsat-5 TM imagery with 30 m spatial resolution, and the Statistical Yearbook of Yangzhou City) and several data analysis methods (e.g., landscape pattern analysis and the boosted regression trees machine learning technique) were employed. 【Result】 ① Arable land was the dominant land use, covering 54.9% of the total area of the city in 2010, followed by water (22.0%), built-up land (21.9%), and forestland and grassland (1.1%). As the distance from the city center increased, the degree of landscape fragmentation first increased and then decreased, whereby the turning point was at the edge of the city. ② The degree of landscape fragmentation increased with increasing level of urbanization, and reached an extremum at 35%-45% before declining gradually. ③ At the landscape level, social factors (i.e., total population and population density) generally had an inhibiting role on landscape fragmentation, while economic factors (i.e., per capita GDP, per capita revenue, primary and tertiary industries) usually promoted landscape fragmentation. In comparison to landscape level, socioeconomic factors had greater impacts at the class-level, and their relationships with class-level fragmentation indices (patch density, edge density, landscape division index and aggregation index) showed distinct differences. For example, per capita revenue promoted the division of landscape at the landscape level, but inhibited it at class level.【Conclusion】 Socioeconomic development played an important role in landscape fragmentation, not only at different levels (landscape and class levels), but also in terms of different driving roles (inhibition or promotion) of fragmentation indices. Therefore, it is necessary to consider the scale effect, impact intensity, and impact direction of socioeconomic factors in order to effectively alleviate urban landscape fragmentation.

Key words

urbanization / landscape fragmentation / spatial pattern / socioeconomic development / Yangzhou City

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
CHE Tong , LUO Yunjian. Quantifying effects of socioeconomic development on urban landscape fragmentation[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2020, 44(1): 154-162 https://doi.org/10.3969/j.issn.1000-2006.201807016

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis
[1]
KUANG W H, CHI W F, LU D S, et al. A comparative analysis of megacity expansions in China and the U.S.: patterns, rates and driving forces[J]. Landscape and Urban Planning, 2014, 132:121-135. DOI: 10.1016/j.landurbplan.2014.08.015.
https://doi.org/10.1016/j.landurbplan.2014.08.015
https://linkinghub.elsevier.com/retrieve/pii/S0169204614002102
Cited in this article [3]
[2]
REYNOLDS R, LIANG L, LI X, et al. Monitoring annual urban changes in a rapidly growing portion of Northwest Arkansas with a 20-year Landsat record[J]. Remote Sense, 2017, 9:71. DOI: 10.3390/rs9010071.
https://doi.org/10.3390/rs9010071
http://www.mdpi.com/2072-4292/9/1/71
Cited in this article [1]
[3]
KADISH J, NETUSIL N R. Valuing vegetation in an urban watershed[J]. Landscape and Urban Planning, 2012, 104:59-65. DOI: 10.1016/j.landurbplan.2011.09.004.
https://doi.org/10.1016/j.landurbplan.2011.09.004
Cited in this article [1]
[4]
陈利顶, 孙然好, 刘海莲. 城市景观格局演变的生态环境效应研究进展[J]. 生态学报, 2013, 33(4):1042-1050.
CHEN L D, SUN R H, LIU H L. Eco-environmental effects of urban landscape pattern changes: progresses, problems, and perspectives[J]. Acta Ecologica Sinica, 2013, 33(4):1042-1050.DOI: 10.5846/stxb201205070659.
https://doi.org/10.5846/stxb201205070659
Cited in this article [1]
[5]
WENG Y C. Spatiotemporal changes of landscape pattern in response to urbanization[J]. Landscape and Urban Planning, 2007, 81(4):341-353. DOI: 10.1016/j.landurbplan.2007.01.009.
https://doi.org/10.1016/j.landurbplan.2007.01.009
https://linkinghub.elsevier.com/retrieve/pii/S0169204607000187
Cited in this article [2]
[6]
仇江啸, 王效科, 逯非, 等. 城市景观破碎化与城市化及社会经济发展水平的关系——以北京城区为例[J]. 生态学报, 2012, 32(9):2659-2669.
QIU J X, WANG X K, LU F, et al. The spatial pattern of landscape fragmentation and its relations with urbanization and socio-economic developments: a case study of Beijing[J]. Acta Ecologica Sinica, 2012, 32(9):2659-2669. DOI: 10.5846/stxb201104010426.
https://doi.org/10.5846/stxb201104010426
Cited in this article [6]
[7]
阳文锐. 北京城市景观格局时空变化及驱动力[J]. 生态学报, 2015, 35(13):4357-4366.
YANG W R. Spatiotemporal change and driving forces of urban landscape pattern in Beijing[J]. Acta Ecologica Sinica, 2015, 35(13):4357-4366. DOI: 10.5846/stxb201409231882.
https://doi.org/10.5846/stxb201409231882
Cited in this article [3]
[8]
MATTHEW L, WU J G. A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA[J]. Landscape Ecology, 2002, 17:327-339. DOI: 10.1023/A:102051272.
https://doi.org/10.1023/A:102051272
http://link.springer.com/10.1023/A:1020512723753
Cited in this article [3]
[9]
HEROLD M, SCEPAN J, CLARKE K C. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses[J]. Environment and Planning A: Economy and Space, 2002, 34(8):1443-1458. DOI: 10.1068/a3496.
https://doi.org/10.1068/a3496
http://journals.sagepub.com/doi/10.1068/a3496
Cited in this article [1]
[10]
臧淑英, 王凌云, 那晓东, 等. 基于经济驱动因子的土地利用结构变化区域差异分析——以哈大齐工业走廊为例[J]. 地理研究, 2011, 30(2):224-232.
ZANG S Y, WANG L Y, NA X D, et al. Regional disparities analysis of land-use structure based on economic driving factor: taking Ha-Da-Qi Industrial Corridor as a case[J]. Geographical Research, 2011, 30(2):224-232. DOI: 1000-0585(2011)02-0224-09.
https://doi.org/1000-0585(2011)02-0224-09
Cited in this article [2]
[11]
潘竟虎, 苏有才, 黄永生, 等. 近30年玉门市土地利用与景观格局变化及其驱动力[J]. 地理研究, 2012, 31(9):1631-1639.
PAN J H, SU Y C, HUANG Y S, et al. Land use & landscape pattern change and its driving forces in Yumen City[J]. Geographical Research, 2012, 31(9):1631-1639. DOI: 1000-0585(2012)09-1631-09.
https://doi.org/1000-0585(2012)09-1631-09
Cited in this article [3]
[12]
FAN Q D, DING S Y. Landscape pattern changes at a county scale: a case study in Fengqiu, Henan Province, China from 1990 to 2013[J]. CATENA, 2016, 137:152-160. DOI: 10.1016/j.catena.2015.09.012.
https://doi.org/10.1016/j.catena.2015.09.012
https://linkinghub.elsevier.com/retrieve/pii/S0341816215301120
Cited in this article [2]
[13]
HASTIE T, TIBSHIRANI R, FRIEDMAN J. The Elements of Statistical Learning[M]. New York: Springer, 2009.
Cited in this article [2]
[14]
高晓俊. 基于情景规划的中小城市空间发展规划研究[D]. 合肥: 合肥工业大学, 2016.
GAO X J. Based on the Scenario analysis of small and medium-sized city space development planning study[D]. Hefei: Hefei University of Technology, 2016.
Cited in this article [1]
[15]
齐杨, 邬建国, 李建龙, 等. 中国东西部中小城市景观格局及其驱动力[J]. 生态学报, 2013, 33(1):275-285.
QI Y, WU J G, LI J L, et al. Landscape dynamics of medium-and small-sized cities in eastern and western China: a comparative study of pattern and driving forces[J]. Acta Ecologica Sinica, 2013, 33(1):275-285. DOI: 10.5846/stxb201111091694.
https://doi.org/10.5846/stxb201111091694
Cited in this article [1]
[16]
蔡春菊, 贾宝全, 王成. 扬州地区土地利用与景观格局分析[J]. 东北林业大学学报, 2010, 38(4):42-48.
CAI C J, JIA B Q, WANG C. Land use and landscape patterns of Yangzhou City[J]. Journal of Northeast Forestry University, 2010, 38(4):42-48.DOI: 10.13759/j.cnki.dlxb.2010.04.039.
https://doi.org/10.13759/j.cnki.dlxb.2010.04.039
Cited in this article [1]
[17]
徐连芳, 叶亚平. 扬州市湿地景观格局演变及驱动力研究[J]. 水生态学杂志, 2015, 36(3):44-50.
XU L F, YE Y P. Evolution of the wetland landscape pattern and its driving forces in Yangzhou[J]. Journal of Hydroecology, 2015, 36(3):44-50.DOI: 10.15928/j.1674-3075.2015.03.007.
https://doi.org/10.15928/j.1674-3075.2015.03.007
Cited in this article [1]
[18]
李栋科, 丁圣彦, 梁国付, 等. 基于移动窗口法的豫西山地丘陵地区景观异质性分析[J]. 生态学报, 2014, 34(12):3414-3424.
LI D K, DING S Y, LIANG G F, et al. Landscape heterogeneity of mountainous and hilly area in the western Henan Province based on moving window method[J]. Acta Ecologica Sinica, 2014, 34(12):3414-3424.DOI: 10.5846/stxb201310282595.
https://doi.org/10.5846/stxb201310282595
Cited in this article [1]
[19]
王润, 丁圣彦, 卢训令, 等. 黄河中下游农业景观异质性对传粉昆虫多样性的多尺度效应——以巩义市为例[J]. 应用生态学报, 2016, 27(7):2145-2153.
WANG R, DING S Y, LU X L, et al. Multi-scale effects of landscape heterogeneity on pollinators’ diversity in the middle and lower reaches of the Yellow River: a case in Gongyi, Henan, China[J]. Chinese Journal of Applied Ecology, 2016, 27(7):2145-2153.DOI: 10.13287/j.1001-9332.201607.020.
https://doi.org/10.13287/j.1001-9332.201607.020
Cited in this article [1]
[20]
MCGARIGAL K, MARKS B J. Fragstats: spatial pattern analysis program for quantifying landscape structure[R]. Portland, U.S: Gen/Tech/Report PNW-GTR-351, USDA Forest Service, Pacific Northwest Research Station, Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1995, 122. DOI: 10.2737/PNW-GTR-351.
https://doi.org/10.2737/PNW-GTR-351
Cited in this article [1]
[21]
MCGARIGAL K, CUSHMAN S A, NEEL M C, et al. Fragstats: spatial pattern analysis program for categorical maps[CP/EB]. 2002. http://www.umass.edu/landeco/research/fragstats/fragstats.html.
http://www.umass.edu/landeco/research/fragstats/fragstats.html
Cited in this article [1]
[22]
PICKETT S T, CADENASSO M L, GROVE J M, et al. Urban ecological systems: linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas[J]. Annual Review of Ecology and Systematics, 2001, 32:127-157. DOI: 10.1146/annurev.ecolsys.32.081501.114012.
https://doi.org/10.1146/annurev.ecolsys.32.081501.114012
http://www.annualreviews.org/doi/10.1146/annurev.ecolsys.32.081501.114012
Cited in this article [1]
[23]
欧强新, 李海奎, 雷相东, 等. 基于清查数据的福建省马尾松生物量转换和扩展因子估算差异解析——3种集成学习决策树模型的比较[J]. 应用生态学报, 2018, 29(6):2007-2016.
OU Q X, LI H K, LEI X D, et al. Difference analysis in estimating biomass conversion and expansion factors of masson pine in Fujian Province, China based on national forest inventory data: a comparison of three decision tree models of ensemble learning[J]. Chinese Journal of Applied Ecology, 2018, 29(6):2007-2016.DOI: 10.13287/j.1001-9332.201806.019.
https://doi.org/10.13287/j.1001-9332.201806.019
Cited in this article [2]
[24]
MARTIN M P, WATTENBACH M, SMITH P, et al. Spatial distribution of soil organic carbon stocks in France[J]. Biogeosciences, 2011, 8:1053-1065. DOI: 10.5194/bg-8-1053-2011.
https://doi.org/10.5194/bg-8-1053-2011
https://bg.copernicus.org/articles/8/1053/2011/
Cited in this article [1]
[25]
DANIEL M, PEDRO J L, THOMAS S. Comparing the determinants of cropland abandonment in Albania and Romania using boosted regression trees[J]. Agricultural Systems, 2013, 117:66-77. DOI: 10.1016/j.agsy.2012.12.010.
https://doi.org/10.1016/j.agsy.2012.12.010
https://linkinghub.elsevier.com/retrieve/pii/S0308521X12001795
Cited in this article [1]
[26]
李春林, 刘淼, 胡远满, 等. 基于增强回归树和Logistic回归的城市扩展驱动力分析[J]. 生态学报, 2014, 34(3):727-737.
LI C L, LIU M, HU Y M, et al. Driving forces analysis of urban expansion based on boosted regression trees and Logistic regression[J]. Acta Ecologica Sinica, 2014, 34(3):727-737.DOI: 10.5846/stxb201212121790.
https://doi.org/10.5846/stxb201212121790
Cited in this article [1]
[27]
ELITH J, LEATHWICK J R, HASTIE T. A working guide to boosted regression trees[J]. Journal of Animal Ecology, 2008, 77:802-813. DOI: 10.1111/j.1365-2656.2008.01390.x.
https://doi.org/10.1111/j.1365-2656.2008.01390.x
https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2656.2008.01390.x
Cited in this article [1]
[28]
GAROUANI A E, MULLA D J, GAROUANI S E, et al. Analysis of urban growth and sprawl from remote sensing data: case of Fez, Morocco[J]. International Journal of Sustainable Built Environment, 2017, 6(1):160-169. DOI: 10.1016/j.ijsbe.2017.02.003.
https://doi.org/10.1016/j.ijsbe.2017.02.003
https://linkinghub.elsevier.com/retrieve/pii/S2212609016300668
Cited in this article [1]
[29]
王蓉, 周宝同, 甘雪坤. 西南山地景观破碎化与城镇化及社会经济发展水平的关系研究——以重庆市渝北区为例[J]. 长江流域资源与环境, 2018, 27(3):624-631.
WANG R, ZHOU B T, GAN X K. Relationships between spatial pattern of landscape fragmentation and urbanization and socio-economic developmental level in Southwest Mountainous Region: a case study of Yubei District in Chongqing[J]. Resources and Environment in the Yangtze Basin, 2018, 27(3):624-631. DOI: 10.11870/cjlyzyyhj201803018.
https://doi.org/10.11870/cjlyzyyhj201803018
Cited in this article [2]
[30]
PENG J, WANG Y L, ZHANG Y, et al. Evaluating the effectiveness of landscape metrics in quantifying spatial patterns[J]. Ecological Indicators, 2010, 10(2):217-223. DOI: 10.1016/j.ecolind.2009.04.017.
https://doi.org/10.1016/j.ecolind.2009.04.017
https://linkinghub.elsevier.com/retrieve/pii/S1470160X09000843
Cited in this article [1]
[31]
胡冬雪, 唐立娜, 邱全毅, 等. 海峡西岸经济区景观格局10年变化及驱动力[J]. 生态学报, 2015, 35(18):6138-6147.
HU D X, TANG L N, QIU Q Y, et al. Decadal temporal changes in landscapes and their driving forces for West-bank Economic Zone of Taiwan Straits[J]. Acta Ecologica Sinica, 2015, 35(18):6138-6147. DOI: 10.5846/stxb201401180141.
https://doi.org/10.5846/stxb201401180141
Cited in this article [1]
[32]
向英奇, 刘淼, 胡远满, 等. 辽宁省沿海地区景观格局时空变化及其驱动力[J]. 生态学杂志, 2015, 34(9):2628-2635.
XIANG Y Q, LIU M, HU Y M, et al. Spatial and temporal change of landscape pattern and its driving force in Liaoning coastal regions[J]. Chinese Journal of Ecology, 2015, 34(9):2628-2635. DOI: 1000-4890(2015)9-2628-08.
https://doi.org/1000-4890(2015)9-2628-08
Cited in this article [1]
[33]
LI C, LI J X, WU J G. What drives urban growth in China? A multi-scale comparative analysis[J]. Applied Geography, 2018, 98:43-51. DOI: 10.1016/j.apgeog.2018.07.002.
https://doi.org/10.1016/j.apgeog.2018.07.002
https://linkinghub.elsevier.com/retrieve/pii/S0143622817308056
Cited in this article [1]

RIGHTS & PERMISSIONS

Copyright reserved © 2020
PDF(4188 KB)

Accesses

Citation

Detail
Sections
Recommended
The full text is translated into English by AI, aiming to facilitate reading and comprehension. The core content is subject to the explanation in Chinese.

Author

Reader

Reviewer

www.nldxb.njfu.edu.cn

Edited ＆ Published by Editorial Department of Nanjing Forestry University(Natural Sciences Edition)
Address： No.159 Longpan Road,Nanjing 210037 Jiangsu,P.R.China
E-mail ：xuebao@njfu.edu.cn , xuebao@njfu.com.cn
Telephone +86-25-85428247,85427076
Distributed by China International Book Trading Corporation P.O. Box 399, Beijing ,P.R. China

/

〈 〉