首页> 外文期刊>Ecological Modelling >Modeling fecundity in birds: Conceptual overview, current models, and considerations for future developments
【24h】

Modeling fecundity in birds: Conceptual overview, current models, and considerations for future developments

机译:鸟类繁殖力建模:概念概述,当前模型以及对未来发展的考虑

获取原文
获取原文并翻译 | 示例
           

摘要

Fecundity is fundamental to the fitness, population dynamics, conservation, and management of birds. For all the efforts made to measure fecundity or its surrogates over the past century of avian research, it is still mismeasured, misrepresented, and misunderstood. Fundamentally, these problems arise because of partial observability of underlying processes such as renesting, multiple brooding, and temporary emigration. Over the last several decades, various analytical approaches have been developed to estimate fecundity from incomplete and biased data. These, include scalar arithmetic formulae, partial differential equations, individual-based simulations, and Markov chain methodology. In this paper, we: (1) identify component processes of avian reproduction; (2) review existing methods for modeling fecundity; (3) place these diverse models under a common conceptual framework; (4) describe the parameterization, validation, and limitations of such models; and (5) point out future considerations and challenges in the application of fecundity models. We hope this synthesis of existing literature will help direct researchers toward the most appropriate methods to assess avian reproductive success for answering questions in evolutionary ecology, natural history, population dynamics, reproductive toxicology, and management.
机译:繁殖力是鸟类健康,种群动态,保护和管理的基础。尽管在过去的一个世纪的鸟类研究中为测量生殖力或其代孕所做的所有努力,它仍然被错误地测量,错误地陈述和被误解。从根本上说,这些问题的出现是由于对底层过程的部分可观察性,例如重新嵌套,多次育雏和临时移民。在过去的几十年中,已经开发出各种分析方法来从不完整和有偏见的数据中估计繁殖力。这些包括标量算术公式,偏微分方程,基于个体的模拟和马尔可夫链方法。在本文中,我们:(1)确定鸟类繁殖的组成过程; (2)审查现有的生育力建模方法; (3)将这些不同的模型置于一个共同的概念框架下; (4)描述此类模型的参数化,验证和局限性; (5)指出了生育力模型应用中的未来考虑因素和挑战。我们希望现有文献的综合将有助于指导研究人员找到最合适的方法来评估禽类繁殖成功率,以回答进化生态学,自然历史,种群动态,生殖毒理学和管理方面的问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号