[1]王雪然,潘佩佩,王晓旭,等.基于GeoSOS-FLUS模型的河北省土地利用景观格局模拟[J].江苏农业学报,2021,(03):667-675.[doi:doi:10.3969/j.issn.1000-4440.2021.03.015]
 WANG Xue-ran,PAN Pei-pei,WANG Xiao-xu,et al.Simulation of landscape pattern for land use in Hebei province based on GeoSOS-FLUS model[J].,2021,(03):667-675.[doi:doi:10.3969/j.issn.1000-4440.2021.03.015]
点击复制

基于GeoSOS-FLUS模型的河北省土地利用景观格局模拟()
分享到:

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2021年03期
页码:
667-675
栏目:
耕作栽培·资源环境
出版日期:
2021-06-30

文章信息/Info

Title:
Simulation of landscape pattern for land use in Hebei province based on GeoSOS-FLUS model
作者:
王雪然123潘佩佩123王晓旭4王晓萌123
(1.河北师范大学资源与环境科学学院,河北石家庄050024;2.河北省环境变化遥感识别技术创新中心,河北石家庄050024;3.河北省环境演变与生态建设实验室,河北石家庄050024;4.河北雄安新区管理委员会规划建设局,河北雄安071799)
Author(s):
WANG Xue-ran123PAN Pei-pei123WANG Xiao-xu4WANG Xiao-meng123
(1.College of Resources and Environmental Sciences, Hebei Normal University, Shijiazhuang 050024, China;2.Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Shijiazhuang 050024, China;3.Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China;4.Planning and Construction Bureau of Hebei Xiong’an New Area Management Committee,Xiong’an 071799,China)
关键词:
GeoSOS-FLUS模型模拟预测景观格局河北省
Keywords:
GeoSOS-FLUS modelsimulated predictionlandscape patternHebei province
分类号:
K903
DOI:
doi:10.3969/j.issn.1000-4440.2021.03.015
文献标志码:
A
摘要:
揭示土地利用景观格局演变特征,不仅有助于明确其与自然、人类活动影响因素的关系,还可为当前国土空间规划及生态文明建设提供依据。本研究以面临新发展机遇的河北省为研究区,利用GeoSOS-FLUS模型模拟2030年土地利用情况,基于景观生态学软件Fragstats探讨区域景观格局演变态势。结果表明:(1)在模拟结果层面,河北省未来建设用地占比增至11.94%,林地、草地面积略有增加,耕地、水域和未利用地占比降至46.35%、2.62%、0.71%, Kappa系数和FoM系数的计算结果均说明GeoSOS-FLUS模型的模拟结果具有较高可信度。(2)在景观格局层面,耕地平均斑块面积下降明显,林地、建设用地优势度提升,草地、水域被不断分割;区域整体蔓延度指数降低,分裂指数由1990年的9.37增至2020年的12.71,景观格局变化具有空间异质性。在现行土地政策机制下,2030年景观格局虽向良性态势发展,但依然面临建设用地无序扩张,耕地破碎化严重等问题。本研究结果对于合理规划、高效利用土地资源,平衡经济发展和土地利用具有重要的现实意义。
Abstract:
Revealing the evolution characteristics of landscape pattern for land use can not only help to clarify its relationship with the influencing factors of nature and human activities, but can also provide basis for current territorial space planning and ecological civilization construction. This study took Hebei province, which was facing new development opportunities, as the research area, and used GeoSOS-FLUS model to simulate its land use situation in 2030. The research was based on the landscape ecology software Fragstats to discuss the evolution of regional landscape pattern. The results showed that the proportion of future construction land in Hebei province increased to 11.94%, the area of woodland and grassland increased slightly, and the proportion of cultivated land, water area and unused land decreased to 46.35%, 2.62%, 0.71%, respectively. Both Kappa coefficient and FoM coefficient showed that the reliability of GeoSOS-FLUS model simulated results was high. From landscape pattern aspect, the average patch area of cultivated land had dropped significantly, advantages of forest land and construction land were improved, grassland and waters were continuously divided. The overall regional spreading index decreased, and the split index increased from 9.37 in 1990 to 12.71 in 2020. The space difference of landscape pattern changes was significant. Under the current land policy mechanism, although the landscape pattern for 2030 developed in a positive trend, it still faced problems such as disorderly expansion of construction land and serious fragmentation of cultivated land. These results have practical significance for rational planning and efficient use of land resources as well as balancing economic development and land use.

参考文献/References:

[1]陈佑启,杨鹏. 国际上土地利用/土地覆盖变化研究的新进展[J].经济地理,2001,21(1):95-100.
[2]刘纪远,张增祥,庄大方,等. 20世纪90年代中国土地利用变化时空特征及其成因分析[J].地理研究,2003,22(1):1-12.
[3]邬建国. 景观生态学-格局、过程、尺度与等级 [M].2版.北京:高等教育出版社,2007:106-124.
[4]吴健生,王仰麟,张小飞,等. 景观生态学在国土空间治理中的应用[J].自然资源学报,2020,35(1):14-25.
[5]HU S, CHEN L Q, LI L, et al. Simulation of land use change and ecosystem service value dynamics under ecological constraints in Anhui province[J]. International Journal of Environmental Research and Public Health,2020,17(12):4228.
[6]DADASHPOOR H, AZIZI P, MOGHADASI M. Land use change, urbanization, and change in landscape pattern in a metropolitan area[J]. Science of the Total Environment,2019,655:707-719.
[7]何华春,周汝佳. 基于景观格局的盐城海岸带土地利用时空变化分析[J].长江流域资源与环境,2016,25(8):1191-1199.
[8]SMIRAGLIA D, CECCARELLI T, BAJOCCO S, et al. Unraveling landscape complexity: land use/land cover changes and landscape pattern dynamics (1954-2008) in contrasting peri-urban and agro-forest regions of northern Italy[J]. Environmental Management, 2015, 56:916-932.
[9]吴金华,房世峰,刘宝军,等. 乌裕尔河-双阳河流域湿地景观格局演变及其驱动机制[J].生态学报,2020,40(13):4279-4290.
[10]车通,李成,罗云建. 城市扩张过程中建设用地景观格局演变特征及其驱动力[J].生态学报,2020,40(10):3283-3294.
[11]张剑,许鑫,隋艳晖. 海洋经济驱动下的海岸带土地利用景观格局演变研究——基于CA -Markov模型的模拟预测[J].经济问题,2020(3):100-104,129.
[12]王明常,牛雪峰,杨毅恒,等. 长白山地区景观格局过程模拟预测研究[J].吉林大学学报(地球科学版),2009,39(5):947-952.
[13]VERBURG P H, SOEPBOER W, VELDKAMP A, et al. Modeling the spatial dynamics of regional land use: The CLUE-S model[J]. Environmental Management, 2002,30(3):391-405.
[14]LIU X, LIANG X, LI X, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape & Urban Planning, 2017, 168:94-116.
[15]王旭,马伯文,李丹,等. 基于FLUS模型的湖北省生态空间多情景模拟预测[J].自然资源学报,2020,35(1):230-242.
[16]赵林峰,刘小平,刘鹏华,等. 基于地理分区与FLUS模型的城市扩张模拟与预警[J].地球信息科学学报,2020,22(3):517-530.
[17]杨浩,卢新海. 基于“三生空间”演化模拟的村庄类型识别研究——以湖南省常宁市为例[J].中国土地科学,2020,34(6):18-27.
[18]许文宁,王鹏新,韩萍,等. Kappa系数在干旱预测模型精度评价中的应用——以关中平原的干旱预测为例[J].自然灾害学报,2011,20(6):81-86.
[19]PONTIUS R G, BOERSMA W, CASTELLA J C, et al. Comparing the input, output, and validation maps for several models of land change[J]. Annals of Regional Science,2008,42(1):11-37.
[20]GONG J Z, LIU Y S, XIA B C. Spatial heterogeneity of urban land-cover landscape in Guangzhou from 1990 to 2005[J]. Journal of Geographical Sciences, 2009, 19(2):213-224.
[21]LI Y R, LI Y, FAN P C, et al. Land use and landscape change driven by gully land consolidation project : A case study of a typical watershed in the Loess Plateau[J]. Journal of Geographical Sciences,2019,29(5):719-729.
[22]廖冰,阮若卉. 林业促进抑或制约生态文明建设?[J]. 江苏农业科学,2019,47(9):329-333.
[23]张小有,王绮雯,万梦书. 生态文明视角信息渠道与规模农户低碳技术应用选择——基于江西的调研数据[J].江苏农业科学,2019,47(6):315-320.
[24]李和平,刘志. 中国城市密度时空演变与高密度发展分析——从1981年到2014年[J].城市发展研究,2019,26(4):46-54.
[25]葛玉娟,赵宇鸾,李秀彬. 山区耕地细碎化对土地利用集约度影响——以贵州省亚鱼村为例[J].地理科学进展,2020,39(7):1095-1105.
[26]闫慧慧,耿其明,李航,等. 河北沽源县未利用地宜耕、宜建及生态风险综合评价[J].水土保持研究,2019,26(1):360-367.
[27]李孝永,匡文慧. 京津冀1980-2015年城市土地利用变化时空轨迹及未来情景模拟[J].经济地理,2019,39(3):187-194,200.

备注/Memo

备注/Memo:
收稿日期:2020-11-01基金项目:河北省自然科学基金项目(D2020205009);河北师范大学基金项目(L2019Z09、L2021B22);国家自然科学基金项目(41401646);河北师范大学在读研究生创新能力培养资助项目(CXZZSS2020066)作者简介:王雪然(1994-),女,河北邯郸人,硕士研究生,主要从事土地利用变化研究。(E-mail)augxueran@163.com通讯作者:潘佩佩,(E-mail)panpeipei626@163.com
更新日期/Last Update: 2021-07-05