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不同保护关注程度植物种的种群特征比较分析:对农药风险评估的启示。

Comparative Analysis of Plant Demographic Traits Across Species of Different Conservation Concern: Implications for Pesticide Risk Assessment.

机构信息

Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota, USA.

Syngenta Crop Protection, Greensboro, North Carolina, USA.

出版信息

Environ Toxicol Chem. 2019 Sep;38(9):2043-2052. doi: 10.1002/etc.4472. Epub 2019 Aug 19.

Abstract

Pesticide risk assessment for "listed" (threatened and endangered) plant species is hampered by a lack of quantitative demographic information. Demographic information for nonlisted plant species could provide risk-assessment data and inform recovery plans for listed species; however, it is unclear how representative demography of the former would be for the latter. We performed a comparison of plant demographic traits and elasticity metrics to explore how similar these are between listed and nonlisted species. We used transition matrices from the COMPADRE Plant Matrix Database to calculate population growth rate (λ), net reproductive rate (R ), generation time (T ), damping ratio (ρ), and summed elasticities for survival (stasis), growth, fertility (reproduction), and evenness of elasticity (EE). We compared these across species varying in conservation status and population trend. Phylogenetic generalized least squares (PGLS) models were used to evaluate differences between listed and nonlisted plants. Overall, demographic traits were largely overlapping for listed and nonlisted species. Population trends had a significant impact on most demographic traits and elasticity patterns. The influence of T on elasticity metrics was consistent across all data groupings. In contrast, the influence of λ on elasticity metrics was highly variable, and correlated in opposite directions in growing and declining populations. Our results suggested that population models developed for nonlisted plant species may be useful for assessing the risks of pesticides to listed species. Environ Toxicol Chem 2019;38:2043-2052. © 2019 SETAC.

摘要

对“列入名单”(濒危和受威胁)植物物种的农药风险评估受到缺乏定量人口统计信息的阻碍。非列入名单的植物物种的人口统计信息可以为列入名单的物种提供风险评估数据并为其恢复计划提供信息;但是,尚不清楚前者的人口统计代表后者的程度如何。我们进行了植物人口统计特征和弹性指标的比较,以探讨列出的和非列出的物种之间的相似程度。我们使用 COMPADRE 植物矩阵数据库中的转移矩阵来计算种群增长率(λ)、净生殖率(R)、世代时间(T)、衰减比(ρ)以及生存(静止)、生长、生育(繁殖)和弹性均匀性(EE)的总和弹性。我们根据保护状况和种群趋势的不同来比较这些物种。使用系统发育广义最小二乘法(PGLS)模型来评估列出的和非列出的植物之间的差异。总体而言,列出的和非列出的物种的人口统计特征基本重叠。种群趋势对大多数人口统计特征和弹性模式有重大影响。T 对弹性指标的影响在所有数据分组中都是一致的。相比之下,λ对弹性指标的影响差异很大,并且在增长和下降的种群中呈相反方向相关。我们的结果表明,为非列入名单的植物物种开发的种群模型可能有助于评估农药对列入名单的物种的风险。Environ Toxicol Chem 2019;38:2043-2052. © 2019 SETAC。

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