| 引用本文： |
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朱辉,张小海,王奕文,郭曦语,王凤霞.基于多时相Landsat-8 OLI遥感影像的清澜港红树林种群时空演变研究[J].广西科学,2025,32(4):677-686. [点击复制]
- ZHU Hui,ZHANG Xiaohai,WANG Yiwen,GUO Xiyu,WANG Fengxia.Spatio-temporal Evolution of Mangrove Populations in Qinglan Port Based on Multi-temporal Landsat-8 OLI Remote Sensing Image[J].Guangxi Sciences,2025,32(4):677-686. [点击复制]
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| 摘要: |
| 海南清澜红树林省级自然保护区作为中国典型热带滨海湿地，曾因围塘养殖遭受严重破坏。本研究以海南清澜红树林省级自然保护区八门湾片区为研究对象，基于2018-2024年多时相Landsat-8 OLI遥感影像，利用随机森林分类算法提取红树林分布数据，并结合土地利用动态度模型和土地利用转移矩阵，系统分析了修复工程实施以来八门湾片区红树林的时空演变规律。研究结果表明，(1)红树林修复整体态势良好，退塘还林工程有效遏制了红树林的退化趋势，2019-2021年红树林面积快速增加。在人工干预和自然扰动的双重影响下，2018-2024年红树林面积净增0.357 km2，自然灾害因素的扰动也同时暴露出红树林生态系统脆弱性。(2)原始优势种正红树(Rhizophora apiculata)占比从29.73%剧降至8.24%，早期先锋种群杯萼海桑(Sonneratia alba)面积显著减少，人工优选种角果木(Ceriops tagal)跃居第一优势种，体现红树林种群从先锋种向中生代种群过渡的演替过程，形成“耐盐人工种+乡土种”新群落分布格局。(3)通过引种角果木耐盐碱物种与保育木榄(Bruguiera gymnorrhiza)乡土种，2018-2024年角果木替代了正红树生态位，“人工优选种扩张-原始优势种衰退”演替模式突破自然恢复速率限制。(4)北部潮沟区形成角果木连续分布带，中西部高盐区正红树修复滞后，表明分区治理在红树林修复中的重要作用。本研究探究了人工修复和自然干扰对八门湾片区红树林修复的短期影响，揭示了八门湾片区红树林时空演变过程研究，以期为红树林综合治理和生态修复提供重要参考价值。 |
| 关键词: 红树林 清澜港 随机森林分类 时空演变 Landsat-8 OLI |
| DOI：10.13656/j.cnki.gxkx.20251114.006 |
| 投稿时间：2025-06-25修订日期：2025-07-15 |
| 基金项目:国家自然科学基金项目(42261064)和海南省自然科学基金项目(424MS116)资助。 |
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| Spatio-temporal Evolution of Mangrove Populations in Qinglan Port Based on Multi-temporal Landsat-8 OLI Remote Sensing Image |
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ZHU Hui1, ZHANG Xiaohai2, WANG Yiwen1, GUO Xiyu1, WANG Fengxia1
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| (1.College of International Tourism and Public Administration, Hainan University, Haikou, Hainan, 570228, China;2.Haikou Marine Geological Survey Center, China Geological Survey, Haikou, Hainan, 571127, China) |
| Abstract: |
| As a typical tropical coastal wetland in China,Hainan Qinglan Mangrove Provincial Nature Reserve once suffered severe damage due to pond aquaculture.This study focused on the Bamen Bay area of Hainan Qinglan Mangrove Provincial Nature Reserve.From multi-temporal Landsat-8 OLI remote sensing imagery from 2018 to 2024,mangrove distribution data were extracted by the Random Forest classification algorithm.The land use dynamic degree model and land use transfer matrix were then employed to systematically analyze the restoration project-driving spatiotemporal evolution patterns of mangroves in Bamen Bay area.The research results showed that:(1) The overall mangrove restoration trend was positive.The project of returning aquaculture ponds to mangrove forests had effectively curbed the degradation trend of mangroves,with a rapid increase in mangrove area from 2019 to 2021.Under the combined effects of human intervention and natural disturbances,the net increase in mangrove area from 2018 to 2024 was 0.357 km2,while the impact of natural disasters revealed the vulnerability of the mangrove ecosystem.(2) The proportion of the original dominant species Rhizophora apiculata had sharply declined from 29.73% to 8.24%.The area of the early pioneer species Sonneratia alba had also significantly decreased.The artificially selected species Ceriops tagal had risen to become the dominant species,reflecting the succession characteristic of the community transitioning from pioneer species to mesophase.This had formed a new community distribution pattern of salt-tolerant artificial species+native species.(3) Through introduction of the salt-tolerant species C.tagal and conserving the native species Bruguiera gymnorrhiza,C.tagal replaced ecological niche of R.apiculata from 2018 to 2024.This successional pattern of “artificially selected species expansion-native dominant species decline” had broken the limit of natural recovery rate.(4) A continuous distribution belt of C.tagal had formed in the northern tidal creek area,while the restoration of R.apiculata lagged in the high-salinity areas of the central and western regions,indicating the important role of zonal management in mangrove restoration.This study utilized multi-temporal remote sensing images to explore the short-term impacts of artificial restoration and natural disturbances on mangrove restoration in the Bamen Bay area,revealing the spatio-temporal evolution process of mangroves in this region.The findings are expected to provide significant practical reference for the comprehensive management and ecological restoration of mangroves. |
| Key words: mangroves Qinglan Port random forest classification spatiotemporal evolution Landsat-8 OLI |
