[1]贾语非,王秀荣*.贵阳市花溪区2008—2018年景观生态风险时空动态[J].山地学报,2023,(2):180-191.[doi:10.16089/j.cnki.1008-2786.000740]
　JIA Yufei,WANG Xiurong*.Spatio-Temporal Dynamics of Landscape Ecological Risks in Huaxi District of Guiyang City, Guizhou, China(2008-2018)[J].Mountain Research,2023,(2):180-191.[doi:10.16089/j.cnki.1008-2786.000740]
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贵阳市花溪区2008—2018年景观生态风险时空动态
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2023年第2期
页码:
180-191
栏目:
山地环境
出版日期:
2023-03-20

文章信息/Info

Title:
Spatio-Temporal Dynamics of Landscape Ecological Risks in Huaxi District of Guiyang City, Guizhou, China(2008-2018)
文章编号:
1008-2786-(2023)2-180-12
作者:
贾语非; 王秀荣*
(贵州大学 林学院, 贵阳 550025)
Author(s):
JIA Yufei; WANG Xiurong*
(College of Forestry in Guizhou University, Guiyang 550025, China)
关键词:
景观生态风险;  时空演变;  空间统计分析;  贵州花溪区
Keywords:
landscape ecological risk;  spatio-temporal evolution;  spatial statistical analysis;  Huaxi district;  Guizhou
分类号:
Q149
DOI:
10.16089/j.cnki.1008-2786.000740
文献标志码:
A
摘要:
贵州省贵阳市花溪区是“国家级生态示范区”,具备生态保护典型性及文旅产业代表性。近二十年来,发展文旅产业和快速城镇化给花溪区带来了一系列生态风险。研究花溪区生态风险变化,对合理指导城镇发展意义重大。当前有关花溪区生态风险的相关研究仅阐述了景观类型及生态风险的时空变化情况,对其变化原因分析不足,缺乏实践指导意义。本文基于花溪区景观生态风险评价结果,结合土地利用动态度模型及相关政策,采用空间统计学方法对其2008—2018年景观类型的相互转移、景观生态风险的空间分布及空间自相关特征进行分析,结果表明:(1)花溪区耕地面积显著减少,建设用地面积快速增加。耕地及乔灌地向建设用地转化以及耕地、乔灌地之间的相互转化是景观类型转变的主要模式。人类活动引起的景观转化对总体景观格局的影响不断增强。(2)花溪区高生态风险区域随城市建设向区域西北侧转移,分布更为集中,低生态风险区域稳定分布在东、北及西南侧,较为分散,总体景观生态风险空间分布呈现高建设强度区域生态风险高、山区城郊生态风险低的特征; 低生态风险区域面积先下降后上升,较高、高生态风险等级区域的面积先上升后下降,较低、中等生态风险区域变化相对稳定。(3)花溪区景观生态风险空间自相关性显著,局部自相关模式以高-高及低-低单元聚集为主,同时低-高及高-低聚集单元持续存在,区域空间异质性持续增强,人地矛盾突出。基于以上结论,本研究提出了统筹集约发展、合理推行建设,保护基本农田、支持第一产业,重视水文过程、把控岸线开发等建议。本研究可为贵州花溪区安全合理进行城镇发展提供指导,为后续相关研究提供借鉴。
Abstract:
Huaxi district of Guiyang city, Guizhou province, China is a national ecological demonstration area and also it is selected as the first batch of national tourism demonstration areas. With rapid urbanization, a series of ecological risks emerged in Huaxi, which need a systematic analysis of the ecological risk change mechanisms to rationally guide urban development. Past research tried to interpret the spatial and temporal changes of landscape types and ecological risks in Huaxi; however, it lacked a comprehensive analysis of the underlying reasons for these changes. In this study, it conducted an assessment of landscape ecological risks in Huaxi and statistically analyzed the mutual transformation of landscape types, spatial distribution, and spatial auto-correlation of landscape ecological risks from 2008 to 2018 by application of dynamic degree model and related policies of land use.
The analysis results are as follows:(1)In Huaxi district, the area of cultivated land decreased significantly, whereas that of construction land increased rapidly. The main pattern of landscape type transformation included the transformation of cultivated land and arbor and shrub lands to construction land, and the mutual transformation between the cultivated land and arbor and shrub lands. The effect of human-induced landscape transformation on the overall landscape pattern strengthened.(2)The area of high ecological risk in Huaxi shifted to the northwest of the region with urban construction and was more concentrated, whereas the area of low ecological risk was steadily distributed in the east, north, and southwest and was more scattered. According to the overall spatial distribution of the landscape ecological risk, the areas of high building intensity had high ecological risk; the outskirts and mountain areas had low ecological risk. The size of the low ecological risk area first decreased and then increased, and that of the high ecological risk area first increased and then decreased. However, the area of low and medium ecological risks remained relatively stable.(3)The spatial auto-correlation of the landscape ecological risk in Huaxi was significant. The local auto-correlation model was dominated by high-high and low-low unit aggregations, although low-high and high-low unit aggregations persisted. The regional spatial heterogeneity continued to increase, with the conflict between human activities and the natural environment being prominent. Based on these findings, it proposed to coordinate intensive development; reasonably implement construction; protect basic farmland; support primary industry; concern hydrological processes, and control shoreline development. This study provides a new insight into a safe and reasonable urban development roadmap in Huaxi as well as study orientation for similar ecological demonstration areas in China.

参考文献/References:

[1] 花溪区人民政府. 花溪区土地利用总体规划(2006—2020)调整方案[EB/OL].(2017.6)[2020.3]. https://max.book118.com/html/2018/1210/5223300331001334.shtm. [Adjustment Plan for the Overall Land Use Plan of Huaxi District(2006-2020)]
[2] 彭建, 党威雄, 刘焱序, 等. 景观生态风险评价研究进展与展望[J]. 地理学报, 2015, 70(4): 664-677. [PENG Jian, DANG Weixiong, LIU Yanxu, et al. Review on landscape ecological risk assessment [J]. Acta Geographica Sinica, 2015, 70(4): 664-677] DOI: 10.11821/ dlxb201504013
[3] 王如松. 转型期城市生态学前沿研究进展[J]. 生态学报, 2000, 20(5): 830-840. [WANG Rusong. The frontiers of urban ecological research in industrial transformation [J]. Acta Ecologica Sinica, 2000, 20(5): 830-840] DOI: 10.3321/j.issn:1000-0933.2000.05.020
[4] 刘焱序, 王仰麟, 彭建, 等. 基于生态适应性循环三维框架的城市景观生态风险评价[J]. 地理学报, 2015, 70(7): 1052-1067. [LIU Yanxu, WANG Yanglin, PENG Jian, et al. Urban landscape ecological risk assessment based on the 3D framework of adaptive cycle [J]. Acta Geographica Sinica, 2015, 70(7): 1052-1067] DOI: 10.11821/dlxb201507003
[5] 周爽, 刘邵权, 彭立. 基于地理探测器的成都市景观格局与生态系统服务的关联效应[J]. 山地学报, 2021, 39(2): 262-274.[ZHOU Shuang, LIU Shaoquan, PENC Li. Correlation effect in the developing landscape patterns with changes in ecosystem services in Chengdu city, China [J]. Mountain Research, 2021, 39(2): 262-274] DOI: 10.16089/j.cnki.1008-2786.000593
[6] 杨佳, 于志军, 王参, 等. 雄安新区不同土地利用方式土壤性状的空间分布特征——以容城县为例[J]. 生态学报, 2021, 41(17): 6764-6772. [YANG Jia, YU Zhijun, WANG Can, et al. Spatial distribution features of soil properties from Xiong'an New Area: A case study of Rongcheng County [J]. Acta Ecologica Sinica, 2021, 41(17): 6764-6772] DOI: 10.5846/stxb202004090848
[7] JI Yuxin, BAI Zhongke, HUI Jiawei. Landscape ecological risk assessment based on LUCC: A case study of Chaoyang county, China [J]. Forests, 2021, 12(9): 1157. DOI: 10.3390/f12091157
[8] 廖国祥, 刘梦琪, 刘长安, 等. 海洋保护区生态风险综合评价方法初步研究——以滨州贝壳堤岛与湿地国家级自然保护区为例[J]. 海洋开发与管理, 2015, 32(10): 59-65. [LIAO Guoxiang, LIU Mengqi, LIU Changan, et al. Study on the comprehensive evaluation method of ecological risk in marine reserves: A case study of Binzhou Seashell island and Wetland National Nature Reserve [J]. Ocean Development and Management, 2015, 32(10): 59-65] DOI: 10.3969/j.issn. 10059857.2015. 10.013
[9] 姚小兰, 周琳, 吴挺勋, 等. 海南热带雨林国家公园高速公路穿越段景观动态与生态风险评估[J]. 生态学报, 2022, 42(16): 6695-6703. [YAO Xiaolan, ZHOU Lin, WU Tingxun, et al. Landscape dynamics and ecological risk of the expressway crossing section in the Hainan Rainforest National Park [J]. Acta Ecologica Sinica, 2022, 42(16): 6695-6703] DOI: 10.5846/stxb 202006191601
[10] GAO Binpin, WU Yingmei, LI Chen. et al. Multi-scenario prediction of landscape ecological risk in the Sichuan-Yunnan ecological barrier based on terrain gradients [J]. Land, 2022, 11(11): 2079. DOI: 10.3390/land11112079
[11] 徐兰, 罗维, 周宝同. 基于土地利用变化的农牧交错带典型流域生态风险评价——以洋河为例[J]. 自然资源学报, 2015, 30(4): 580-590. [XU Lan, LUO Wei, ZHOU Baotong. Landscape ecological risk assessment of farming-pastoral ecozone based on land use change: A case study of the Yanghe Watershed, China [J]. Journal of Natural Resources, 2015, 30(4): 580-590] DOI: 10.11849/zrzyxb.2015.04.005
[12] 张雪茂, 董廷旭, 杜华明, 等.基于景观生态风险评价的涪江流域景观格局优化[J]. 生态学报, 2021, 41(10): 3940-3951.[Zhang Xuemao, Dong Tingxu, Du Huaming, et al. Optimization of landscape pattern in Fujiang River Basin based on landscape ecological risk assessment [J]. Acta Ecologica Sinica, 2021, 41(10): 3940-3951] DOI: 10.5846/stxb202101040027
[13] BAO Tiantian, WANG Ruifan, SONG Linghan, et al. Spatio-temporal multi-scale analysis of landscape ecological risk in Minjiang River Basin based on adaptive cycle [J]. Remote Sensing, 2022, 14(21): 5540. DOI: 10.3390/rs14215540
[14] 陈晔倩, 李杨帆, 祁新华, 等. 基于栖息地风险评价模型的海岸带滩涂湿地风险评价——以闽三角为例[J]. 生态学报, 2018, 38(12): 4214-4225. [CHEN Yeqian, LI Yangfan, QI Xinhua, et al. Assessing ecosystem risk in coastal wetland of the south Fujian Golden Delta using a habitat risk assessment model based on the land-use effect on tidal flat wetland [J]. Acta Ecologica Sinica, 2018, 38(12): 4214-4225] DOI: 10.5846/stxb201802120366
[15] HE Sinan, LIN Mengjing, SHI Longyu. et al. Occurrence, distribution and ecological risk assessment of contaminants in Baiyangdian Lake, China [J]. Water, 2022, 14(21): 3352. DOI: 10. 3390/w14213352
[16] 常小燕, 李新举, 李西灿, 等. 矿区土地利用生态风险的时空异质性[J]. 生态学报, 2019, 39(9): 3075-3088. [CHANG Xiaoyan, LI Xinju, LI Xican, et al. Spatial-temporal heterogeneity of ecological risk of land use in mining areas [J]. Acta Ecologica Sinica, 2019, 39(9): 3075-3088] DOI: 10.5846/stxb201803290636
[17] 杨庚, 张振佳, 曹银贵, 等. 晋北大型露天矿区景观生态风险时空异质性[J]. 生态学杂志, 2021, 40(1): 187-198. [YANG Geng, ZHANG Zhenjia, CAO Yingui, et al. Spatio-temporal heterogeneity of landscape ecological risk of large-scale open-pit mining area of north Shanxi [J]. Chinese Journal of Ecology, 2021, 40(1): 187-198] DOI: 10.13292/j.1000-4890.202101.003
[18] 刘迪, 陈海, 史琴琴, 等. 黄土丘陵沟壑区生态风险时空动态及其风险分区——以陕西省米脂县为例[J]. 自然资源学报, 2019, 34(9): 2012-2025. [LIU Di, CHEN Hai, SHI Qinqin, et al. Spatio-temporal variation of ecological risk in the loess hilly-gully region and its precaution partitions: A case study of Mizhi county, Shaanxi province, China [J]. Journal of Natural Resources, 2019, 34(9): 2012-2025] DOI: 10.31497/zrzyxb.20190916
[19] 景培清, 张东海, 艾泽民, 等.基于格局?过程生态适应性循环三维框架的自然景观生态风险评价——以黄土高原为例[J].生态学报, 2021, 41(17): 7026-7036. [JING Peiqing, ZHANG Donghai, AI Zemin, et al. Natural landscape ecological risk assessment based on the three-dimensional framework of pattern-process ecological adaptability cycle: A case in Loess Plateau [J]. Acta Ecologica Sinica, 2021, 41(17): 7026-7036] DOI: 10.5846/stxb202012173213
[20] LIANG Tian, YANG Fei, HUANG Dan, et al. Land-use transformation and landscape ecological risk assessment in the Three Gorges Reservoir region based on the "production-living-ecological space" perspective [J]. Land, 2022, 11(8): 1234. DOI: 10.3390/land11081234
[21] 许妍, 高俊峰, 赵家虎, 等. 流域生态风险评价研究进展[J]. 生态学报, 2012, 32(1): 284-292. [XU Yan, GAO Junfeng, ZHAO Jiahu, et al. The research progress and prospect of watershed ecological risk assessment [J]. Acta Ecologica Sinica, 2012, 32(1): 284-292] DOI: 10.5846/stxb20101110 1615
[22] 陈春丽, 吕永龙, 王铁宇, 等. 区域生态风险评价的关键问题与展望[J]. 生态学报, 2010, 30(3): 808-816. [CHEN Chunli, LYU Yonglong, WANG Tieyu, et al. Emerging issues and prospects for regional ecological risk assessment [J]. Acta Ecologica Sinica, 2010, 30(3): 808-816]
[23] 伍娬, 王志杰, 潘远珍. 基于GIS的安顺市景观格局空间梯度分析[J].西北林学院学报, 2019, 34(6): 214-223. [WU Bin, WANG Zhijie, PAN Yuanzhen. Spatial gradient analysis of urban landscape pattern in Anshun city based on GIS [J]. Journal of Northwest Forestry University, 2019, 34(6): 214-223] DOI: 10.3969/j.issn.1001-7461.2019.06.34
[24] 王洁, 摆万奇, 田国行. 土地利用生态风险评价研究进展[J]. 自然资源学报, 2020, 35(3): 576-585. [WANG Jie, BAI Wanqi, TIAN Guohang. A review on ecological risk assessment of land use [J]. Journal of Natural Resources, 2020, 35(3): 576-585] DOI: 10.31497/zrzyxb.20200306
[25] 李菊. 贵阳市花溪区植被景观格局对地形地貌的响应及其独特性研究[D]. 贵阳: 贵州大学, 2009:1-2. [LI Ju. The response of landscape pattern of vegetation to the topography and its uniqueness in Huaxi district of Guiyang city [D]. Guiyang: Guizhou University, 2009:1-2.
[26] 任红玉, 周旭, 张迪, 等. 快速城市化过程中喀斯特山区城镇生态风险变化——以贵阳市花溪区为例[J]. 贵州师范大学学报(自然科学版), 2018, 36(5): 16-23. [REN Hongyu, ZHOU Xu, ZHANG Di, et al. Changes of ecological risk in Karst mountain city during rapid urbanization: A case study in Huaxi distinct, Guiyang [J]. Journal of Guizhou Normal University(Natural Sciences), 2018, 36(5): 16-23] DOI: 10.16614/j.gznuj.zrb.2018.05.003
[27] 贵阳市城乡规划局. 贵阳市城市总体规划(2011—2020)(2017年修订)[EB/OL](2017.12)[2020.3]. https://wendang.xuehi.cn/doc/bi5oypcrvk4acuk0d5d6wj1fcte8b31d.html. [Guiyang City Master Plan(2011-2020)(Revised in 2017)]
[28] 朱会义, 李秀彬. 关于区域土地利用变化指数模型方法的讨论[J]. 地理学报, 2003, 58(5): 643-650. [ZHU Huiyi, LI Xiubin. Discussion on the index method of regional land use change [J]. Acta Geographica Sinica, 2003, 58(5): 643-650] DOI: 10.3321/j.issn:0375-5444.2003.05.001
[29] 肖琳, 田光进. 天津市土地利用生态风险评价[J]. 生态学杂志, 2014, 33(2): 469-476. [XIAO Lin, TIAN Guangjin. Eco-risk assessment of land use in Tianjin city [J]. Chinese Journal of Ecology, 2014, 33(2): 469-476] DOI: 10.13292/j.1000-4890.2014.0031
[30] 曾辉, 刘国军. 基于景观结构的区域生态风险分析[J]. 中国环境科学, 1999, 19(5): 454-457. [ZENG Hui, LIU Guojun. Analysis of regional ecological risk based on landscape structure [J]. China Environmental Science, 1999, 19(5): 454-457] DOI: 10.3321/j.issn:1000-6923.1999.05. 017
[31] 谢花林. 基于景观结构和空间统计学的区域生态风险分析[J]. 生态学报, 2008, 28(10): 5020-5026. [XIE Hualin. Regional eco-risk analysis of based on landscape structure and spatial statistics [J]. Acta Ecologica Sinica, 2008, 28(10): 5020-5026] DOI: 10.3321/j.issn:1000-0933.2008.10. 048
[32] 刘世梁, 刘琦, 张兆苓, 等. 云南省红河流域景观生态风险及驱动力分析[J]. 生态学报, 2014, 34(13): 3728-3734. [LIU Shiliang, LIU Qi, ZHANG Zhaoling, et al. Landscape ecological risk and driving force analysis in Red River basin [J]. Acta Ecologica Sinica, 2014, 34(13): 3728-3734] DOI: 10.5846/stxb201306121681
[33] 郑杰, 王志杰, 喻理飞, 等. 基于景观格局的草海流域生态风险评价[J]. 环境化学, 2019, 38(4): 784-792. [ZHENG Jie, WANG Zhijie, YU Lifei, et al. Ecological risk assessment of Caohai watershed based on landscape pattern [J]. Environmental Chemistry, 2019, 38(4): 784-792] DOI: 10.7524/j.issn.0254-6108.2018061401
[34] 李哈滨, 王政权, 王庆成. 空间异质性定量研究理论与方法[J]. 应用生态学报, 1998, 9(6): 651-657. [LI Habin, WANG Zhengquan, WANG Qingcheng. Theory and methodology of spatial heterogeneity quantification [J]. Chinese Journal of Applied Ecology, 1998, 9(6): 651-657]
[35] 贾语非, 王秀荣. 基于CA-Markov模型的贵阳市花溪区景观格局预测及优化[J]. 西部林业科学, 2020, 49(6): 118-127. [JIA Yufei, WANG Xiurong. Prediction and optimization of landscape pattern in Huaxi district of Guiyang city based on CA-Markov model [J]. Journal of West China Forestry Science, 2020, 49(6): 118-127] DOI: 10.16473/j.cnki.xblykx1972.2020.06.017

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备注/Memo

备注/Memo:
收稿日期(Received date): 2020-05-06; 改回日期(Accepted date):2023-04-08
基金项目(Foundation item): 国家自然科学基金(31760228)。[National Natural Science Foundation of China(31760228)]
作者简介(Biography): 贾语非(1994-),男,贵州贵阳人,硕士研究生,主要研究方向:地景规划与生态修复。[JIA Yufei(1994-),male,born in Guiyang,Guizhou province.M.Sc. candidate,research on landscape planning and ecological restoration]E-mail:jyf881986@163.com
*通讯作者(Corresponding author): 王秀荣(1972-),女,河南人,博士,教授,主要研究方向:园林植物、景观规划与生态修复。[WANG Xiurong(1972-),female, born in Henan. Ph.D., professor, research on landscape plants, landscape planning and ecological restoration]E-mail:wxr7211@126.com
更新日期/Last Update: 2023-03-30