인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Elucidating the trajectory of landscape ecological risk in Chengdu provides an empirical basis for ecological risk management within the city's jurisdiction, holding important practical value for promoting urban sustainable development. Through five periods of land use data covering the period of 2000-2020, this paper employs the landscape pattern index method to evaluate the landscape ecological risk index for the corresponding years in an effort to delineate the evolving patterns of the risk over time and space. To identify the clustered distribution of landscape ecological risk, we conducted a spatial autocorrelation analysis. Using the MOP-FLUS model, the geographical arrangement of landscape categories under four distinct 2035 scenarios is projected, enabling predictions of future landscape ecological risk trends. The findings reveal the following: (1) From 2000 to 2020, the overall landscape ecological risk in Chengdu showed a declining trend, and the risk level structure continued to optimize; (2) the landscape ecological risk index presented an overall pattern of "lower in the west and higher in the east," with low-risk areas consistently clustered in the western ecological barrier and with high-risk areas persistently concentrated in the central plains; (3) multi-scenario simulations demonstrate that Ecological-Priority Development scenario can effectively control the expansion of high-risk areas, representing the optimal pathway for maintaining regional ecological sustainability.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-095628830