New insights to be gained from a Virtual Ecosystem

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
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Abstract

The myriad interactions among individual plants, animals, microbes and their abiotic environment generate emergent phenomena that will determine the future of life on Earth. Here, we argue that holistic ecosystem models – incorporating key biological domains and feedbacks between biotic and abiotic processes and capable of predicting emergent phenomena – are required if we are to understand the functioning of complex, terrestrial ecosystems in a rapidly changing planet. We argue that holistic ecosystem models will provide a framework for integrating the many approaches used to study ecosystems, including biodiversity science, population and community ecology, soil science, biogeochemistry, hydrology and climate science. Holistic models will provide new insights into the nature and importance of feedbacks that cut across scales of space and time, and that connect ecosystem domains such as microbes with animals or above with below ground. They will allow us to critically examine the origins and maintenance of ecosystem stability, resilience and sustainability through the lens of systems theory, and provide a much-needed boost for conservation and the management of natural environments. We outline our approach to developing a holistic ecosystem model – the Virtual Ecosystem – and argue that while the construction of such complex models is obviously ambitious, it is both feasible and necessary.

从虚拟生态系统中获得新见解
单个植物、动物、微生物及其非生物环境之间的无数相互作用产生了决定地球生命未来的新现象。在这里,我们认为,如果我们要了解地球上瞬息万变的复杂陆地生态系统的功能,就必须建立整体生态系统模型--包括关键生物领域以及生物与非生物过程之间的反馈,并能够预测突发现象。我们认为,整体生态系统模型将为整合用于研究生态系统的多种方法提供一个框架,这些方法包括生物多样性科学、种群和群落生态学、土壤科学、生物地球化学、水文学和气候科学。整体模型将使我们对跨越时空尺度的反馈的性质和重要性有新的认识,并将生态系统领域(如微生物与动物或地上与地下)联系起来。它们将使我们能够通过系统理论的视角,批判性地审视生态系统稳定性、恢复力和可持续性的起源和维持,并为自然环境的保护和管理提供急需的推动力。我们概述了我们开发整体生态系统模型--虚拟生态系统--的方法,并认为尽管构建这种复杂的模型显然是雄心勃勃的,但它既可行又必要。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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