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印度-西太平洋红树林中[具体物种1]和[具体物种2]的栖息地适宜性建模

Modeling Habitat Suitability for and in Indo-West Pacific Mangroves.

作者信息

Adamu Hussaini O, Hussaini Rahimat O, Mohammed Ebenezer O, Izegaegbe Joshua I

机构信息

University of Bremen Bremen Germany.

City University of Applied Sciences (Hochschule Bremen) Bremen Germany.

出版信息

Ecol Evol. 2024 Sep 30;14(10):e70384. doi: 10.1002/ece3.70384. eCollection 2024 Oct.

Abstract

Mangroves provide habitat for a diverse array of marine species, especially snails. We used a MaxEnt model to predict potential global suitable habitat for and in the family Potamididae. A total of 667 occurrence data were obtained from the Global Biodiversity Information Facility (GBIF) with the following sub-data set contribution, "iNaturalist Research Grade Observations" (85%), "International Barcode of Life project (iBOL)" (7%), "FBIP: SeaKeys_SANBI: Marine images iSpot_2013" (1%), "A dataset of marine macroinvertebrate diversity from Mozambique and São Tomé and Príncipe" (1%), occurrence data of some marine invertebrates and freshwater crabs housed in the natural history collection at the National Museums of Kenya (1%), and Natural History Museum Rotterdam-Specimens (1%). Our results showed that temperature with a contribution of above 80% in the present and future model is the most important driver of the distribution of mangrove snails. In the present and future models, the most potentially suitable habitats for .  and .  were observed along coastal areas with a temperature between 20°C-21°C and 30°C, respectively. Our model predicts that by 2100, high-suitability areas will shrink as a result of global warming. The vulnerability of mangrove snails under future climate conditions is evident in our results. Our findings contribute significant insights into the intricate relationship between mangrove habitats and mangrove snails, offering a valuable foundation for conservation initiatives aimed at safeguarding the biodiversity and ecological functions of these crucial coastal ecosystems in the face of changing global environmental conditions.

摘要

红树林为各种各样的海洋物种提供栖息地,尤其是蜗牛。我们使用最大熵模型(MaxEnt)来预测蜑螺科(Potamididae)中[具体两种蜗牛名称缺失]的潜在全球适宜栖息地。总共从全球生物多样性信息机构(GBIF)获取了667个出现数据,其下数据集贡献如下:“iNaturalist研究级观测”(85%)、“国际生命条形码计划(iBOL)”(7%)、“FBIP:SeaKeys_SANBI:2013年海洋图像iSpot”(1%)、“莫桑比克以及圣多美和普林西比的海洋大型无脊椎动物多样性数据集”(1%)、肯尼亚国家博物馆自然历史藏品中一些海洋无脊椎动物和淡水蟹的出现数据(1%)以及鹿特丹自然历史博物馆标本(1%)。我们的结果表明,在当前和未来模型中贡献超过80%的温度是红树林蜗牛分布的最重要驱动因素。在当前和未来模型中,[具体两种蜗牛名称缺失]最具潜在适宜性的栖息地分别出现在温度为20°C - 21°C和30°C的沿海地区。我们的模型预测,到2100年,由于全球变暖,高适宜性区域将会缩小。我们的结果表明了红树林蜗牛在未来气候条件下的脆弱性。我们的研究结果为红树林栖息地与红树林蜗牛之间的复杂关系提供了重要见解,为旨在面对不断变化的全球环境条件保护这些关键沿海生态系统的生物多样性和生态功能的保护举措提供了宝贵基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7331/11440365/fbee2fcd7a52/ECE3-14-e70384-g002.jpg

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