我们对仙人掌的人口模型了解多少?对现有知识的系统回顾

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY Journal of Arid Environments Pub Date : 2024-07-18 DOI:10.1016/j.jaridenv.2024.105226
Graciela Jiménez-Guzmán , Gabriel Arroyo-Cosultchi , Carlos Martorell , Miguel Martínez-Ramos , Ernesto Vicente Vega-Peña
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引用次数: 0

摘要

仙人掌主要受到栖息地丧失和非法贸易的威胁。因此,了解仙人掌的种群特征至关重要。我们系统地查阅了索引期刊、COMPADRE 植物矩阵数据库等数据库以及灰色文献中有关矩阵种群模型(MPM)和积分预测模型(IPM)的出版物。在每篇出版物中,我们都记录了文献特征、种群属性以及用于描述它们的方法和指标。我们审查了 2022 年 4 月之前发表的研究。我们发现有 83 篇出版物应用了人口模型,其中 43 篇为灰色文献。大多数研究都是在北美洲和仙人掌科进行的,南美洲仙人掌的研究很少。与 20 年前的一篇综述相比,我们的研究记录显示,出版物数量增加了 488%,COMPADRE 人口数据库增加了 33.3%。我们发现了 65 个分类群的人口统计数据,而涵盖中长期的研究却寥寥无几。在 2009 年 IPM 开始流行之前,使用最多的是 MPM。种群增长率通常接近单位(λ ≈ 1),但我们发现λ值的范围很广。物种在人口统计学三角形中的位置显示,棘皮动物科(Echinocereae)、谷物科(Cereeae)和圆柱天牛科(Cylindropuntieae)中的种群位于生存轴的末端,而仙人掌科(Cacteae)和欧庞天牛科(Opuntieae)中的种群的位置则较为多变。人口模型的应用主要集中在分析生命史特征(生长和更替),以及利用数值模拟来模拟生命率变化对 λ 的影响。然而,探讨管理和保护的社会经济和政治因素的研究数量有限。最后,尽管仙人掌科是人口统计研究最为广泛的植物类群,但只有 3.5%的物种有相关模型。
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What do we know about the demographic modeling of cacti? A systematic review of current knowledge

Cacti are threatened mainly by loss of habitat and illegal commerce. Because of this, it is essential to know their demographic characteristics. We systematically reviewed the publications with matrix population models (MPM) and integral projection models (IPM) in indexed journals, databases like the COMPADRE Plant Matrix Database and grey literature. In each publication, we recorded the literature characteristics, the population attributes, and the methods and metrics applied to describe them. We reviewed studies published until April 2022. We found 83 publications applied demographic modeling, 43 of which were of grey literature. Most studies were conducted in North America and on the tribe Cacteae, with a scarce representation of South American cactus. Compared to a previous review from 20 years ago, our study recorded a 488% increase in the number of publications and a 33.3% increase in the COMPADRE demographic database. We found demographic data for 65 taxa and very few studies covered a medium-to long-term period. MPMs were the most used until the 2009 when IPMs began to gain popularity. Population growth rates were commonly close to the unit (λ ≈ 1), but we identified a wide range of λ values. Species position in the demographic triangle showed that the populations in the tribes Echinocereae, Cereeae and Cylindropuntieae were located towards the end of the survival axis, while those in the tribes Cacteae, and Opuntieae had a more variable location. Applications of demographic models have focused on the analysis of life history traits (growth and turnover) and employing numerical simulations to simulate the consequences of variations in vital rates on λ. Interactions with the climate and the nurse-protected system are analyzed frequently. Nonetheless, a limited number of research explores the socioeconomic and political components of management and conservation. Finally, even though Cactaceae is the plant group with the most extensive demographic research, models are available for only 3.5% of the species.

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来源期刊
Journal of Arid Environments
Journal of Arid Environments 环境科学-环境科学
CiteScore
5.70
自引率
3.70%
发文量
144
审稿时长
55 days
期刊介绍: The Journal of Arid Environments is an international journal publishing original scientific and technical research articles on physical, biological and cultural aspects of arid, semi-arid, and desert environments. As a forum of multi-disciplinary and interdisciplinary dialogue it addresses research on all aspects of arid environments and their past, present and future use.
期刊最新文献
Valuing drought impact mitigation on ecosystem services in a Mediterranean country Resource allocation below- and above-ground organs and their association to the environment in Mammillaria Haw. (Cactaceae) Think outside the road: Negev connectivity beyond the ‘Nabatean incense route’ Investigating the impacts of climate variations and armed conflict on drought and vegetation cover in Northeast Syria (2000–2023) Corrigendum to “Bringing water values into play in the Atacama desert water crisis” [J. Arid Environ. (2024) 1–12 105256]
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