In 2017, the temperature and air relative humidity of open spaces within and around mangrove at Nansha wetland, Guangzhou, and Qi’ao Island, Zhuhai, Guangdong Province were automatic investigated simultaneously every hour for everyday to estimate the ecological effects of mangrove at different habitats. During the whole year, the temperature within the mangrove both at Nansha and Qi’ao were lower than that around it, but the humidity was higher. Within the mangrove at Nansha, the daily maximum decreased temperature was 6.832 ℃ with the mean value of 0.733 ℃ in the average percentage of 3.092%, while the daily maximum increasing humidity was 23.416% with the mean value of 5.528% in the average percentage of 6.345%. Within the mangrove at Qi’ao, the daily maximum decreased temperature was 6.607 ℃ with the mean value of 1.722 ℃ in the average percentage of 7.011%, while the daily maximum increasing humidity was 45.044% with the mean value of 1.681% in the average percentage of 1.942%. For annual mean air temperature within mangrove, there was 0.126 ℃ higher at Nansha than that at Qi’ao, but for open spaces there was 0.862 ℃ higher at Qi’ao than that at Nansha. For annual mean humidity within mangrove, there was 4.427% higher at Nansha than that at Qi’ao, and for open spaces there was 0.581% higher at Nansha than that at Qi’ao. In total, the effects of decreased air temperature and increasing humidity were relative obvious, and much apparent at Qi’ao for decreasing temperature, while much apparent at Nansha for increasing humidity.
[1] Rozainah M Z, Nazri M N, Sofawi A B, Hemati Z, Juliana W A. Estimation of carbon pool in soil, above and below ground vegetation at different types of mangrove forests in Peninsular Malaysia[J]. Marine Pollution Bulletin, 2018,137: 237—245.
[2] Biswas S R, Biswas P L, Limon S H, Yan E R, Xu M S, Khan M S I. Plant invasion in mangrove forests worldwide[J]. Forest Ecology and Management, 2018,429: 480—492.
[3] Menendez P, Losada I J, Beck M W, Torres-Ortega S, Espejo A, Narayan S, Diaz-Simal P, Lange G M. Valuing the protection services of mangroves at national scale: The Philippines[J]. Ecosystem Services: Part A, 2018,34: 24—36.
[4] Jurn K, Lavallee J, King L. Environmental destruction in the new economy: Offshore finance and mangrove forest clearance in Grand Cayman[J]. Geoforum, 2018,97: 155—168.
[5] 卢元平,徐卫华,张志明,张路,谢世林,张晶晶,范馨悦,欧阳志云. 中国红树林生态系统保护空缺分析[J]. 生态学报, 2019,39(2): 684—691.
[6] 周振超,李贺,黄翀,刘庆生,刘高焕,何云,于涵. 红树林遥感动态监测研究进展[J]. 地球信息科学学报, 2018,20(11): 1631—1643.
[7] 沙聪,王木兰,姜玥璐,林光辉. 红树林土壤pH和其他土壤理化性质之间的相互作用[J]. 科学通报, 2018,63(26): 2745—2756.
[8] 邱霓,徐颂军,邱彭华,宋焱,牛安逸,许观嫦. 南沙湿地公园红树林物种多样性与空间分布格局[J]. 生态环境学报, 2017,26(1): 27—35.
[9] 王震,陈卫军,管伟,廖宝文,何克宏,陈蔚,谢敏. 珠海市淇澳岛主要红树林群落特征研究[J]. 中南林业科技大学学报, 2017,37(4): 86—91.
[10] 牛安逸,陈志云,徐颂军,许观嫦,杨倩,马姣娇. 基于LUCC的珠海淇澳岛生态系统服务功能价值动态评估[J]. 华南师范大学学报(自然科学版), 2016,48(2): 81—87.
[11] 陶文琴,缪绅裕,曾庆昌,龙连娣,陈伟霖,陈健辉,陈学梅. 珠江口老鼠簕稳定性碳氮同位素组成分析[J]. 生态学杂志, 2016,35(10): 2637—2642.
[12] Miao S Y, Long L D, Tao W Q, Zeng Q C, Chen J H, Huang J L, Wu Q H, Tang Y J. Composition of stable carbon and nitrogen isotopes in five wetland plants and sediments from the Pearl River estuary, South China[J]. Chemistry and Ecology, 2016,32: 609—623.
[13] 陈伟霖,缪绅裕,陶文琴,龙连娣,戴文坛,刘志群,陈学梅,易祖盛. 珠海淇澳与广州南沙湿地3种植物稳定碳氮同位素组成比较[J]. 海洋环境科学, 2018,37(1): 38—42.
[14] 曾庆昌,黄敏华,缪绅裕,陶文琴,龙连娣,陈伟霖. 广州南沙湿地4种红树植物底泥特性的差异[J]. 华南农业大学学报,2017,38(1): 103—108.
[15] 缪绅裕,龙连娣,陶文琴,曾庆昌,陈伟霖,陈健辉,王厚麟. 珠海淇澳岛不同类型湿地生态化学因子的差异评价[J]. 海洋环境科学, 2016,35(5): 670—677.
[16] 武锋,郑松发,陆钊华,陈燕,李鹤. 珠海淇澳岛红树林的温湿效应与人体舒适度[J]. 森林与环境学报, 2015,35(2): 159—164.
[17] 孙金伟,吴家兵,关德新,王安志,袁凤辉,张新建. 森林与空旷地空气温湿度及土壤温度的长期对比研究[J]. 生态学杂志, 2011,30(12): 2685—2691.
[18] 汪永英,孔令伟,李雯,毛桃义,曹晓飞,荣旭东. 哈尔滨城市森林小气候状况及对人体舒适度的影响[J]. 东北林业大学学报, 2012,40(7): 90—93.
[19] 吴菲,李树华,刘娇妹. 林下广场、无林广场和草坪的温湿度及人体舒适度[J]. 生态学报, 2007,27(7): 2964—2971.
[20] Wang W J, Wang H Y, Xiao L, He X Y, Zhou W, Wang Q, Wei C H. Microclimate regulating functions of urban forests in Changchun City (north-east China) and their associations with different factors[J]. iForest: Biogeosciences and Forestry, 2018,11: 140—147.
[21] Wang W J, Zhan B, Xiao L, Zhou W, Wang H M, He X Y. Decoupling forest characteristics and background conditions to explain urban rural variations of multiple microclimate regulation from urban trees[J]. PeerJ, 2018,6: e5450.