Suppr超能文献

海枣潜在分布建模中CLIMEX参数的敏感性分析

Sensitivity analysis of CLIMEX parameters in modeling potential distribution of Phoenix dactylifera L.

作者信息

Shabani Farzin, Kumar Lalit

机构信息

Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia.

出版信息

PLoS One. 2014 Apr 10;9(4):e94867. doi: 10.1371/journal.pone.0094867. eCollection 2014.

Abstract

Using CLIMEX and the Taguchi Method, a process-based niche model was developed to estimate potential distributions of Phoenix dactylifera L. (date palm), an economically important crop in many counties. Development of the model was based on both its native and invasive distribution and validation was carried out in terms of its extensive distribution in Iran. To identify model parameters having greatest influence on distribution of date palm, a sensitivity analysis was carried out. Changes in suitability were established by mapping of regions where the estimated distribution changed with parameter alterations. This facilitated the assessment of certain areas in Iran where parameter modifications impacted the most, particularly in relation to suitable and highly suitable locations. Parameter sensitivities were also evaluated by the calculation of area changes within the suitable and highly suitable categories. The low temperature limit (DV2), high temperature limit (DV3), upper optimal temperature (SM2) and high soil moisture limit (SM3) had the greatest impact on sensitivity, while other parameters showed relatively less sensitivity or were insensitive to change. For an accurate fit in species distribution models, highly sensitive parameters require more extensive research and data collection methods. Results of this study demonstrate a more cost effective method for developing date palm distribution models, an integral element in species management, and may prove useful for streamlining requirements for data collection in potential distribution modeling for other species as well.

摘要

利用CLIMEX和田口方法,开发了一种基于过程的生态位模型,以估计海枣(Phoenix dactylifera L.)的潜在分布,海枣是许多国家具有重要经济价值的作物。该模型的开发基于其原生分布和入侵分布,并根据其在伊朗的广泛分布进行了验证。为了确定对海枣分布影响最大的模型参数,进行了敏感性分析。通过绘制估计分布随参数变化而改变的区域,确定了适宜性的变化。这有助于评估伊朗某些地区,在这些地区参数修改影响最大,特别是在适宜和高度适宜的地点方面。还通过计算适宜和高度适宜类别内的面积变化来评估参数敏感性。低温极限(DV2)、高温极限(DV3)、最佳高温(SM2)和高土壤湿度极限(SM3)对敏感性影响最大,而其他参数显示出相对较低的敏感性或对变化不敏感。为了在物种分布模型中实现精确拟合,对高度敏感的参数需要更广泛的研究和数据收集方法。本研究结果证明了一种开发海枣分布模型的更具成本效益的方法,这是物种管理中的一个重要组成部分,并且可能也有助于简化其他物种潜在分布建模中的数据收集要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692a/3983247/a2571022a9e8/pone.0094867.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验