印度鸟类潜在范围地图数据集

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Data Pub Date : 2023-09-21 DOI:10.3390/data8090144
Arpit Deomurari, Ajay Sharma, Dipankar Ghose, Randeep Singh
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引用次数: 0

摘要

保护管理严重依赖于准确的物种分布数据。然而,大多数物种的分布信息仅限于分布范围图,其分辨率不足以采取保护行动和了解当前的分布状况。在许多情况下,很难以适当的数据格式访问分布图,以便对物种进行分析和保护规划。在这项研究中,我们通过开发物种分布模型(SDMs)来解决这个问题,该模型整合了来自各种公民科学计划的物种存在数据。这使我们能够系统地构建印度1091种鸟类的当前分布图。为了创建这些sdm,我们使用MaxEnt 3.4.4 (Maximum Entropy)作为物种分布建模的基础,并将其与包含物种发生信息和29个环境变量的多个公民科学数据集相结合。利用该方法,我们能够在国家尺度和1 km2的高空间分辨率上估计物种分布图。因此,我们的研究结果提供了印度968种鸟类的物种现状分布图。这些地图大大提高了我们对印度约75%鸟类地理分布的认识,对于解决保护问题的空间知识差距至关重要。此外,通过叠加不同物种的分布图,我们可以定位鸟类多样性的热点,并调整保护行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential Range Map Dataset of Indian Birds
Conservation management heavily relies on accurate species distribution data. However, distributional information for most species is limited to distributional range maps, which could not have enough resolution to take conservation action and know current distribution status. In many cases, distribution maps are difficult to access in proper data formats for analysis and conservation planning of species. In this study, we addressed this issue by developing Species Distribution Models (SDMs) that integrate species presence data from various citizen science initiatives. This allowed us to systematically construct current distribution maps for 1091 bird species across India. To create these SDMs, we used MaxEnt 3.4.4 (Maximum Entropy) as the base for species distribution modelling and combined it with multiple citizen science datasets containing information on species occurrence and 29 environmental variables. Using this method, we were able to estimate species distribution maps at both a national scale and a high spatial resolution of 1 km2. Thus, the results of our study provide species current species distribution maps for 968 bird species found in India. These maps significantly improve our knowledge of the geographic distribution of about 75% of India’s bird species and are essential for addressing spatial knowledge gaps for conservation issues. Additionally, by superimposing the distribution maps of different species, we can locate hotspots for bird diversity and align conservation action.
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来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
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