Variability in multicomponent ecological systems: a test of new framework

多组分生态系统的变异性：新框架的测试

• 批准号: RGPIN-2015-04601
• 负责人: Kolasa, Jurek
• 金额: $ 1.53万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=631927
• 关键词: Variability; multicomponent; ecological; systems; test

Recently we discovered that if we measure variation in an ecological variables such as population size, productivity of a forest, frequency of pest a outbreak, species loss over TIME, we can relate it EXACTLY to variation of this variable over SPACE. More precisely, variance over time equals variance across space when sites vary independently, is predictably greater if they vary in concert and predictably less if their variation is consistently different between sites. The discovered relationship offers general PREDICTIVE and DIAGNOSTIC opportunities for assessing variation of ecological factors of interest and, importantly, mechanisms underlying this variation. Through theoretical analyses, experiments with laboratory ecosystems, natural aquatic microcosms, and crop yields we propose to test soundness and utility of this relationship.

最近我们发现，如果我们测量生态变量的变化，如人口规模、森林生产力、虫害爆发频率、物种损失随时间的变化，我们可以准确地将其与该变量在空间上的变化联系起来。更准确地说，当地点独立变化时，随着时间的变化等于跨越空间的变化，如果它们一致变化，可预测的变化会更大，如果它们的变化在地点之间持续不同，可预测的变化会更小。发现的关系为评估感兴趣的生态因素的变化提供了一般的预测和诊断机会，更重要的是，这种变化的机制。通过理论分析、实验室生态系统、天然水生微生物和作物产量的实验，我们建议测试这种关系的合理性和实用性。