Olaniyi Oluwatobi E, Martins Chukwuemeka O, Zakaria Mohamed
Department of Forest Science and Biodiversity, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Department of Ecotourism and Wildlife Management, Federal University of Technology, Akure, Nigeria.
Trop Life Sci Res. 2022 Jul;33(2):31-54. doi: 10.21315/tlsr2022.33.2.3. Epub 2022 Jul 15.
It becomes imperative to understand the eco-climatic predictors and know the suitable habitat for and in the urban wetlands to prevent their local extinction. The study explored the habitat suitability for and in Paya Indah wetlands and Putrajaya wetlands of Peninsular Malaysia. and point count technique, and a stratified random design. The maximum entropy modelling (MEM) approach and geographic information systems employed to determine the influence of 17 eco-climatic factors on the suitable habitats for the species. Water at a minimum depth (44.30%) and rainfall (74.20%) contributed to the availability of suitable habitats for in Paya Indah and Putrajaya wetlands. Also, dissolved oxygen (56.60%) and salinity (43.50%) contributed to habitat suitability for in Paya Indah and Putrajaya wetlands. Large portions of the two urban wetlands were unsuitable for the and populations because of several eco-climatic factors. Thus, the models as management tools with a robust population monitoring database and framework would enhance the management effectiveness of the two species and urban wetlands.
为防止城市湿地中的[具体物种1]和[具体物种2]在当地灭绝，了解生态气候预测因素并知晓其适宜栖息地变得至关重要。该研究探索了马来西亚半岛瓜拉因达湿地和布城湿地中[具体物种1]和[具体物种2]的栖息地适宜性。采用了[具体方法1]和[具体方法2]点计数技术以及分层随机设计。运用最大熵建模（MEM）方法和地理信息系统来确定17个生态气候因素对这些物种适宜栖息地的影响。在瓜拉因达和布城湿地中，最小水深（44.30%）和降雨量（74.20%）对[具体物种1]适宜栖息地的可用性有贡献。此外，溶解氧（56.60%）和盐度（43.50%）对瓜拉因达和布城湿地中[具体物种2]的栖息地适宜性有贡献。由于多种生态气候因素，这两个城市湿地的大部分区域对[具体物种1]和[具体物种2]种群而言并不适宜。因此，这些模型作为管理工具，结合强大的种群监测数据库和框架，将提高这两个物种以及城市湿地的管理成效。
