FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377201315> ?p ?o ?g. }

• W4377201315 abstract "PDF HTML阅读 XML下载 导出引用 引用提醒 基于“空间形态-破碎化-聚集度”的粤港澳大湾区森林景观格局时空演变 DOI: 10.5846/stxb202203030505 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目(42171089);广东省林业科技创新重点项目(2020KJCX006, 2018KJCX013) Spatiotemporal evolution of forest landscape pattern in Guangdong-Hong Kong-Macao Greater Bay Area based on Spatial Morphology-Fragmentation-Aggregation Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:森林景观格局的时空演变研究能够帮助理解区域森林变化过程。传统的景观指数方法多以均值为计算结果且空间信息表达不足,基于形态学方法能够从空间上直观辨别景观类型,综合破碎化和聚集度的定量分析有助于进一步认识森林景观格局的演变特征。以1990、2000、2010、2020年粤港澳大湾区土地利用数据为基础,建立基于空间形态-破碎化-聚集度的综合研究框架,开展大湾区森林景观格局的时空演变研究。结果表明:(1)近30年大湾区森林形态以核心区为主,森林面积逐渐减少,而2010-2020年减少速率降低,各类型森林斑块均有所恢复;(2)整体破碎化程度较低,中部破碎化地区表现为先上升后下降的变化趋势;(3)聚集度结果表明,距离森林边界500 m内的森林斑块面积最大,约占研究区总面积的30%,而距离大于4.5 km的非森林斑块面积几乎翻倍增加,应重点关注该区域的森林损失。研究有助于全面理解森林景观格局的变化特征,相关结果可为粤港澳大湾区的森林生态修复工程、国土空间规划以及城市可持续发展提供科学依据。 Abstract:The study of spatiotemporal evolution of forest landscape pattern is beneficial for understanding the process of regional forest change. The traditional patch-based metrics suffer from intrinsic limitations, such as they provide a single average value and cannot provide any spatially explicit information. However, the morphological method can visually identify the type of each landscape element. Meanwhile, the quantitative analysis of integrated fragmentation and aggregation helps to further understand the evolution characteristics of forest landscape pattern. Based on the land use data in 1990, 2000, 2010 and 2020, we established a comprehensive research framework focusing on Spatial Morphology-Fragmentation-Aggregation to analyze the evolution characteristics of forest landscape patterns in the Guangdong-Hong Kong-Macao Greater Bay Area. The results showed that, (1) in the past 30 years, the forest core area has been dominated, and the forest area has gradually decreased. However, the decline rate decreased from 2010 to 2020, and all types of forest patches recovered. (2) The overall degree of fragmentation was relatively low, and the central fragmentation area showed a trend of first rising and then falling. (3) The aggregation degree results showed that the forest patches within 500 m from the forest boundary had the largest area, accounting for about 30% of the total area of the study area. The area of non-forest patches with a distance of more than 4.5 km has almost doubled, and forest loss in this area should be a concern. This study contributes to a comprehensive understanding of the changing characteristics of forest landscape patterns. These results can provide a scientific basis for forest ecological restoration projects, territorial spatial planning and sustainable urban development in the Guangdong-Hong Kong-Macao Greater Bay Area. 参考文献 相似文献 引证文献" @default.
• W4377201315 created "2023-05-22" @default.
• W4377201315 creator A5091988294 @default.
• W4377201315 date "2023-01-01" @default.
• W4377201315 modified "2023-09-25" @default.
• W4377201315 title "Spatiotemporal evolution of forest landscape pattern in Guangdong-Hong Kong-Macao Greater Bay Area based on Spatial Morphology-Fragmentation-Aggregation" @default.
• W4377201315 doi "https://doi.org/10.5846/stxb202203030505" @default.
• W4377201315 hasPublicationYear "2023" @default.
• W4377201315 type Work @default.
• W4377201315 citedByCount "0" @default.
• W4377201315 crossrefType "journal-article" @default.
• W4377201315 hasAuthorship W4377201315A5091988294 @default.
• W4377201315 hasBestOaLocation W43772013151 @default.
• W4377201315 hasConcept C100970517 @default.
• W4377201315 hasConcept C115880899 @default.
• W4377201315 hasConcept C130217890 @default.
• W4377201315 hasConcept C166957645 @default.
• W4377201315 hasConcept C173727882 @default.
• W4377201315 hasConcept C18903297 @default.
• W4377201315 hasConcept C191015642 @default.
• W4377201315 hasConcept C198979508 @default.
• W4377201315 hasConcept C205649164 @default.
• W4377201315 hasConcept C86803240 @default.
• W4377201315 hasConceptScore W4377201315C100970517 @default.
• W4377201315 hasConceptScore W4377201315C115880899 @default.
• W4377201315 hasConceptScore W4377201315C130217890 @default.
• W4377201315 hasConceptScore W4377201315C166957645 @default.
• W4377201315 hasConceptScore W4377201315C173727882 @default.
• W4377201315 hasConceptScore W4377201315C18903297 @default.
• W4377201315 hasConceptScore W4377201315C191015642 @default.
• W4377201315 hasConceptScore W4377201315C198979508 @default.
• W4377201315 hasConceptScore W4377201315C205649164 @default.
• W4377201315 hasConceptScore W4377201315C86803240 @default.
• W4377201315 hasIssue "8" @default.
• W4377201315 hasLocation W43772013151 @default.
• W4377201315 hasOpenAccess W4377201315 @default.
• W4377201315 hasPrimaryLocation W43772013151 @default.
• W4377201315 hasRelatedWork W2006694356 @default.
• W4377201315 hasRelatedWork W2022113317 @default.
• W4377201315 hasRelatedWork W2072806265 @default.
• W4377201315 hasRelatedWork W2108588034 @default.
• W4377201315 hasRelatedWork W2136404427 @default.
• W4377201315 hasRelatedWork W2166933571 @default.
• W4377201315 hasRelatedWork W2380977742 @default.
• W4377201315 hasRelatedWork W2773522122 @default.
• W4377201315 hasRelatedWork W2792634821 @default.
• W4377201315 hasRelatedWork W3173920587 @default.
• W4377201315 hasVolume "43" @default.
• W4377201315 isParatext "false" @default.
• W4377201315 isRetracted "false" @default.
• W4377201315 workType "article" @default.