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假苍耳全球及不丹特定适宜性与不丹农业脆弱性的机制模型与相关模型的比较分析

Comparative Analysis of Mechanistic and Correlative Models for Global and Bhutan-Specific Suitability of Parthenium Weed and Vulnerability of Agriculture in Bhutan.

作者信息

Dorji Sangay, Stewart Stephen, Shabbir Asad, Bajwa Ali, Aziz Ammar, Adkins Steve

机构信息

School of Agriculture and Food Sustainability, The University of Queensland, Gatton, QLD 4343, Australia.

CSIRO Environment, Private Bag No. 5, GPO Box 1700, Hobart, TAS 7005, Australia.

出版信息

Plants (Basel). 2024 Dec 30;14(1):83. doi: 10.3390/plants14010083.

Abstract

Parthenium weed ( L.) is one of the most noxious and fast-spreading invasive alien species, posing a major threat to ecosystems, agriculture, and public health worldwide. Mechanistic and correlative species distribution models are commonly employed to determine the potential habitat suitability of parthenium weed. However, a comparative analysis of these two approaches for parthenium weed is lacking, leaving a gap in understanding their relative effectiveness and ability to describe habitat suitability of parthenium weed. This study compared the mechanistic model CLIMEX with random forest (RF), the best-performing of a suite of correlative models. When compared against occurrence records and pseudo-absences, measured by area under the receiver operating characteristic curve, true skill statistic, sensitivity, and specificity, the results revealed higher performance of RF compared to CLIMEX. Globally, RF predicted 7 million km (2% of the total land mass) as suitable for parthenium weed, while CLIMEX predicted 20 million km (13%). Based on binary maps, RF and CLIMEX identified 67 and 20 countries as suitable, respectively. For Bhutan, globally trained RF predicted 8919 km (23% of the country's total 38,394 km) as currently suitable, with high suitability in the southern, west-central, central, and eastern districts, particularly along major highways. For the future, the 10 general circulation models downscaled to Bhutan showed a decrease in suitability across four scenarios (SSP126, SSP245, SSP370, SSP585) and three periods (2021-2050, 2051-2080, 2071-2100), with a northward shift in suitable habitats ranging from 2 to 76 km. Additionally, 2049 (23%) km of agricultural land is currently at risk of being invaded by parthenium weed. Correlative and mechanistic models are based on different niche concepts (i.e., realized and fundamental, respectively), and therefore combining them can provide a better understanding of actual and potential species distributions. Given the high suitability of parthenium weed under the current climate and its potential negative impacts in Bhutan, early action such as early detection and control of infested areas, regular survey and monitoring, and creating public awareness are proposed as risk mitigation strategies.

摘要

银胶菊(Parthenium hysterophorus L.)是最有害且扩散迅速的外来入侵物种之一,对全球生态系统、农业和公共卫生构成重大威胁。机械模型和相关物种分布模型通常用于确定银胶菊潜在的栖息地适宜性。然而,目前缺乏对银胶菊这两种方法的比较分析,在理解它们描述银胶菊栖息地适宜性的相对有效性和能力方面存在差距。本研究将机械模型CLIMEX与随机森林(RF)进行了比较,随机森林是一系列相关模型中表现最佳的。与通过接受者操作特征曲线下面积、真实技能统计量、敏感性和特异性衡量的出现记录和伪缺失数据进行比较时,结果显示随机森林的性能优于CLIMEX。在全球范围内,随机森林预测适合银胶菊生长的面积为7百万平方千米(占陆地总面积的2%),而CLIMEX预测为20百万平方千米(占13%)。基于二元地图,随机森林和CLIMEX分别确定有67个和20个国家适合银胶菊生长。对于不丹,经过全球训练的随机森林预测目前有8919平方千米(占该国总面积38394平方千米的23%)适合银胶菊生长,在南部、中西部、中部和东部地区,特别是主要公路沿线适宜性较高。对于未来,10个降尺度到不丹的全球环流模型显示,在四种情景(SSP126、SSP245、SSP370、SSP585)和三个时期(2021 - 2050年、2051 - 2080年、2071 - 2100年)下适宜性降低,适宜栖息地向北移动2至76千米。此外,目前有2049平方千米(占23%)的农业用地面临被银胶菊入侵的风险。相关模型和机械模型基于不同的生态位概念(即分别为实际生态位和基础生态位),因此将它们结合可以更好地理解物种的实际和潜在分布。鉴于银胶菊在当前气候条件下的高适宜性及其在不丹可能产生的负面影响,建议采取早期行动,如早期发现和控制受灾地区、定期调查和监测以及提高公众意识等作为风险缓解策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456c/11722948/5500211a920a/plants-14-00083-g001.jpg

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