[1] 余新晓, 鲁绍伟, 靳芳, 等. 中国森林生态系统服务功能价值评估. 生态学报, 2005, 25(8): 2096-2102 [2] Deardorff JW. Efficient prediction of ground surface-temperature and moisture, with inclusion of a layer of vegetation. Journal of Geophysical Research: Oceans, 1978, 83: 1889-1903 [3] Yang GJ, Pu RL, Zhang JX, et al. Remote sensing of seasonal variability of fractional vegetation cover and its object-based spatial pattern analysis over mountain areas. ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 77: 79-93 [4] Gao L, Wang XF, Johnson BA, et al. Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 159: 364-377 [5] Ge J, Meng BP, Liang TG, et al. Modeling alpine grassland cover based on MODIS data and support vector machine regression in the headwater region of the Huanghe River, China. Remote Sensing Environment, 2018, 218: 162-173 [6] Jing X, Yao WQ, Wang JH, et al. A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing’s mountainous areas during the last 20 years. Mathematical and Computer Modelling, 2011, 54: 1079-1085 [7] Skidmore AN, Pettorelli NC, Coops GN, et al. Agree on biodiversity metrics to track from space. Nature, 2015, 523: 403-405 [8] Ding XY, Wang QM, Yang HX, et al. Reconstruction of 500 m, 8-day Historical MODIS Fractional Vegetation Cover (FVC) Dataset (1982-2000) in China. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 4409619 [9] 韩静, 张国峰, 李伟光, 等. 近20年海南岛植被生态质量变化特征分析. 生态科学, 2022, 41(1): 20-30 [10] Liu H, Li XJ, Mao FJ, et al. Spatiotemporal evolution of fractional vegetation cover and its response to climate change based on MODIS data in the subtropical region of China. Remote Sensing, 2021, 13: 913 [11] Fu BL, Yang WL, Yao H, et al. Evaluation of spatio-temporal variations of FVC and its relationship with climate change using GEE and Landsat images in Ganjiang River Basin. Geocarto International, 2022, 37: 13658-13688 [12] Wang Z, Song DX, He T, et al. Developing spatial and temporal continuous fractional vegetation cover based on Landsat and Sentinel-2 data with a deep learning approach. Remote Sensing, 2023, 15: 2948 [13] 王曦, 张怡雯. 基于Landsat影像的北京植被覆盖度变化趋势分析. 遥感技术与应用, 2021, 36(6): 1388-1397 [14] Mohammadi A, Maajnooni A, Hassanpour R. Analysis of fractional vegetation cover (FVC) status using Landsat satellite images in the Shabstar Plain. Hydrogeology, 2024, 9: 110-120 [15] Xu Z, Shen X, Ge S, et al. An advanced TSMK-FVC approach combined with Landsat 5/8 imagery for assessing the long-term effects of terrain and climate on vegetation growth. Frontiers in Plant Science, 2024, 15: 1363690 [16] Miao Z, Chen J, Wang C, et al. Global dynamics of grassland FVC and LST and spatial distribution of their correlation (2001-2022). Plants, 2025, 14: 439 [17] 张阳阳, 刘铁冬, 龚文峰, 等. 2001—2021年海南岛植被覆盖时空动态变化与驱动力分析. 甘肃农业大学学报, 2023, 58(2): 145-154 [18] Wen C, Long T, He G, et al. Temporally enhanced RSEI and nighttime lights reveal long-term ecological changes and effective protection in China’s inaugural national parks. Ecological Indicators, 2025, 170: 112981 [19] 任雨航, 冯毅, 陈文凯, 等. 成都龙泉山城市森林公园植被覆盖度变化特征及驱动因素. 应用生态学报, 2025 , 36 (7) : 2103-2113 [20] 唐小平, 欧阳志云, 蒋亚芳, 等. 中国国家公园空间布局研究. 国家公园(中英文), 2023, 1(1): 1-10 [21] Jiang YF, Tian J, Zhao JB, et al. The connotation and assessment framework of national park ecosystem integrity: A case study of the Amur Tiger and Leopard National Park. Biodiversity Science, 2021, 29: 1279 [22] 刘钊军. 海南热带雨林国家公园保护价值及高质量建设计划. 国家公园(中英文), 2023, 1(4): 250-254 [23] Estrada A, Garber PA, Rylands AB, et al. Impending extinction crisis of the world’s primates: Why primates matter. Science Advances, 2017, 3: e1600946 [24] 臧振华, 王楠, 赵磊, 等. 加强海南热带雨林国家公园有效管理与绿色发展的建议. 国家公园(中英文), 2023, 1(4): 232-237 [25] 方精云, 李意德, 朱彪, 等. 海南岛尖峰岭山地雨林的群落结构、物种多样性以及在世界雨林中的地位. 生物多样性, 2004, 12(1): 29-43 [26] 黄耀, 梁彩群, 莫燕妮, 等. 长期干扰对海南热带雨林国家公园森林群落木本植物特征的影响. 国家公园(中英文), 2024, 2(4): 235-245 [27] Yang LQ, Guan QY, Lin JK, et al. Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics. Remote Sensing of Environment, 2021, 254: 112247 [28] Gahtan J, Knapp KR, Schreck CJ, et al. International Best Track Archive for Climate Stewardship (IBTrACS) Project, Version 4r01. Asheville, NC, USA: NOAA National Centers for Environmental Information, 2024 [29] 李苗苗, 吴炳方, 颜长珍, 等. 密云水库上游植被覆盖度的遥感估算. 资源科学, 2004(4): 153-159 [30] Cleveland WS. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 1979, 74: 829-836 [31] Kovács GM, Horion S, Fensholt R. Characterizing ecosystem change in wetlands using dense earth observation time series. Remote Sensing of Environment, 2022, 281: 113267 [32] 白云逸, 于君宝, 栗云召, 等. 1986—2023年黄河口湿地景观格局演变对水文连通的影响. 生态学杂志, 2025, 44(8): 2696-2705 [33] 刘瑞雪, 李佳轩, 李云. 水库消落带植物多样性空间格局预测模型及环境解释:基于XGBoost-SHAP 模型框架. 生态学报, 2024, 44(21): 9652-9669 [34] 许向春. 强台风“达维”经过海南岛过程结构演变研究. 博士论文. 兰州: 兰州大学, 2009 [35] 新华社. 海南:百万亩天然林为何不见了踪影. (2007-06-07) [2025-08-08]. http://www.xinhuanet.com [36] 央视国际. 海南一百多万亩天然林被毁 省人大开展执法检查. (2007-07-04) [2025-08-08]. https://news.cctv.com/china/20070704/101947.shtml [37] 海南史志网. 建设生态省. (2024-05-31) [2025-08-08]. https://www.hnszw.org.cn/index/News/info.html?id=64693 [38] 张晓莹, 何毅, 赵蕾. 2000—2020年我国五大国家公园植被覆盖时空变化特征. 自然保护地, 2023, 3(3): 11-27 [39] 胡江. 人类足迹对生态系统服务价值的影响研究. 博士论文. 武汉: 湖北大学, 2023 [40] 吴虹蓉, 朱岚巍, 余恒, 等. 基于遥感的海南本岛植被覆盖度时空变化及其地形效应研究. 遥感技术与应用, 2023, 38(5): 1062-1070 [41] 许向春, 于玉斌, 王式功, 等. 2005年“达维”台风两次登陆过程的物理量演变特征分析. 热带农业科学, 2011, 31(3): 30-37 [42] 刘少军, 张京红, 蔡大鑫, 等. 台风对植被变化的影响研究. 中国气象学会. 第27届中国气象学会年会现代农业气象防灾减灾与粮食安全分会场论文集, 北京, 2010: 707-711 [43] 董浩天, 陶韬, 杜晓庆. 沿海复杂地形台风登陆过程风场多尺度数值模拟. 空气动力学学报, 2021, 39(4): 147-152 [44] 李伟光, 吕润, 李海亮, 等. 台风“摩羯”影响海南岛植被变化的关键因子及阈值研究. 热带作物学报, 2025, 46(9): 2250-2258 |