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學(xué)術(shù)快訊 | 景遙參與上海交通大學(xué)《追蹤城市群時(shí)空演變軌跡,,刻畫區(qū)域景觀格局動(dòng)態(tài)》

返回列表日期:2024-02-26閱讀:521

摘  要

     城市群是區(qū)域和國(guó)家經(jīng)濟(jì)增長(zhǎng)的引擎,,但同時(shí)導(dǎo)致用地類型的劇烈變化,從而引發(fā)諸多生態(tài)環(huán)境問(wèn)題,。本研究量化了珠三角城市群的時(shí)空演變,,并評(píng)估了其對(duì)城市和區(qū)域景觀格局的影響,。研究結(jié)果表明,1985-2015年間,,珠三角城市群經(jīng)歷了快速城市化,,城市群面積呈線性增長(zhǎng),從1819.8 km2增加到7092.2 km2,。城市用地年均增長(zhǎng)率隨時(shí)間呈現(xiàn)雙峰型波浪形模式,,表明該區(qū)域城市群經(jīng)歷了兩輪城市化進(jìn)程。在城市化過(guò)程中,,城市群的三種增長(zhǎng)模式(飛地模式,、邊緣擴(kuò)張模式、內(nèi)填模式)呈現(xiàn)出相互并存交替的主導(dǎo)格局,,表明珠三角城市群擴(kuò)張的時(shí)空演變遵循了“螺旋式擴(kuò)散-聚合”假說(shuō),,城市群形態(tài)在時(shí)間上呈現(xiàn)出“分散-緊湊”的交替模式。隨著時(shí)間的推移,,城市水平和區(qū)域水平的景觀格局與珠三角城市群的時(shí)空演變同步變化,。珠三角城市群的城市化既增加了景觀的復(fù)雜性和聚集度,也導(dǎo)致珠三角城市群自然景觀的破碎化程度增加和連通性降低,。這些發(fā)現(xiàn)有助于更好地理解城市群的演變過(guò)程,,并為區(qū)域的城市規(guī)劃和可持續(xù)土地管理提供參考。

關(guān)鍵詞:城市群,,城市增長(zhǎng),,景觀擴(kuò)張指數(shù),擴(kuò)散-聚合假說(shuō),,時(shí)空演變,,珠江三角洲,珠三角城市群

An urban agglomeration is the engine of regional and national economic growth, but also causes many ecological and environmental issues that emerge from massive land changes. In this study, the spatiotemporal evolution of an urban agglomeration was quantified and its impacts on the urban and regional landscape patterns were evaluated. It showed that the urbanized land area of the Pearl River Delta Urban Agglomeration (PRDUA) in China nearly quadrupled, having linearly increased from 1819.8 km2 to 7092.2 km2 between 1985 and 2015. The average annual growth rate presented a bimodal wave-like pattern through time, indicating that the PRDUA has witnessed two rounds of the urbanization process. The growth modes (e.g., leapfrog, edge-expansion, infilling) were detected and they exhibited co-existing but alternating dominating patterns during urbanization, demonstrating that the spatiotemporal evolution of the urban development of the PRDUA follows the “spiral diffusion-coalescence” hypothesis. The morphology of the PRDUA presented an alternating dispersal-compact pattern over time. The city-level and regional-level landscape patterns changed synchronously with the spatiotemporal evolution of the PRDUA over time. The urbanization of the PRDUA increased both the complexity and aggregation of the landscape, but also resulted in an increasing fragmentation and decreasing connectivity of the natural landscape in the Pearl River Delta region. These findings are helpful for better understanding how urban agglomerations evolve and in providing insights for regional urban planning and sustainable land management.

Key words: urban agglomeration; urban growth; landscape expansion index; diffusion and coalescence hypothesis; spatiotemporal evolution; Pearl River Delta; PRD

圖1. 珠三角城市群(a)及其九個(gè)主要城市(b)的城市用地面積隨時(shí)間變化軌跡

圖2. 1985-2015年珠三角城市群城市用地的空間格局

圖3. 1985-2015年珠三角城市群城市用地面積年均增長(zhǎng)率變化

圖4. 1985-2015年珠三角城市群三種增長(zhǎng)模式(內(nèi)填,、邊緣擴(kuò)張和飛地)的空間格局

圖5. 1985-2015年珠三角城市群三種增長(zhǎng)模式的斑塊面積(a)和斑塊數(shù)量(b)所占比例的時(shí)間變化格局

圖6. 1985-2015年珠三角城市群平均景觀擴(kuò)張指數(shù)(MEI)和面積加權(quán)平均景觀擴(kuò)張指數(shù)(AWMEI)的時(shí)間變化格局

圖7. 1985-2015年珠三角城市群城市水平景觀指標(biāo)的時(shí)間變化趨勢(shì):a-邊緣密度(ED),,b-最大斑塊指數(shù)(LPI),c-面積加權(quán)平均斑塊分形維度(FRAC_AM),d-蔓延指數(shù)(CONTAG),,e-斑塊密度(PD),,f-聚集指數(shù)(AI),g-景觀形狀指數(shù)(LSI).

圖8. 1985-2015年珠三角城市群景觀水平景觀指標(biāo)的時(shí)間變化趨勢(shì),。a-邊緣密度(ED),,b-最大斑塊指數(shù)(LPI),c-面積加權(quán)平均斑塊分形維度(FRAC_AM),,d-蔓延指數(shù)(CONTAG),,e-斑塊密度(PD),f-面積加權(quán)平均鄰接指數(shù)(CONTIG_AM),,g-景觀形狀指數(shù)(LSI),,h-聚集指數(shù)(AI)

上海交通大學(xué)設(shè)計(jì)學(xué)院已畢業(yè)碩士生吳炯(現(xiàn)為本院在讀博士生)和博士后武彩燕為論文共同第一作者,李俊祥教授為論文通訊作者,。論文合作者還包括北卡羅來(lái)納大學(xué)張琦博士,、宋從和教授,上海交通大學(xué)已畢業(yè)碩士生莊銘?zhàn)?、肖慧蓉,、吳暉,上海人工智能?shí)驗(yàn)室歐陽(yáng)霖柯博士,,華東師范大學(xué)博士生劉宇晗,、孟陳,柏林洪堡大學(xué)教授Dagmar Haase,。本研究獲得國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2022YFF1301105),、國(guó)家自然科學(xué)基金(32001162、31971485),、博士后面上項(xiàng)目(2021M702131),,以及上海交通大學(xué)-墨爾本大學(xué)博士生聯(lián)培基金共同支持。

引用格式:

Wu, J., C. Wu, Q. Zhang, M. Zhuang, H. Xiao, H. Wu, L. Ouyang, Y. Liu, C. Meng, C. Song, D. Haase, and J. Li. 2023. Spatiotemporal evolution of urban agglomeration and its impact on landscape patterns in the Pearl River Delta, China. Remote Sensing 15:2520. https://doi.org/10.3390/rs15102520

素材來(lái)源:上海交通大學(xué)設(shè)計(jì)學(xué)院風(fēng)景園林系

撰文:吳炯

審核:李俊祥 常湘琦

編輯:徐晨萱,、徐暢