Flipbook-ENA: Towards a dynamic Ecological Network Analysis under changing environmental conditions

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Joel Habedank , Sabine Horn , Dan Baird , Peter Lemke , Jasmin Renz , Vera Sidorenko , Karen H. Wiltshire
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引用次数: 0

Abstract

Changes in abiotic parameters can affect ecosystem structure and function. Network models with subsequent Ecological Network Analysis (ENA) are often used for the quantification of ecosystem-wide properties with descriptive system indices. However, dynamic abiotic alterations of an ecosystem cannot be resolved with the “state of the art” ENA as the methodology of analyses is static in both space and time. In this study, we present a new, almost dynamic ENA “Flipbook-ENA” which allows for the trend analysis of system indices over a defined range of abiotic factors. Flipbook-ENA enables an approximation of the dynamic system response by discretizing the continuous influence of abiotic factors and by calculating the corresponding changes in the model for each discretization step. ENA indices are therefore obtained as a discrete function of the abiotic conditions. We applied this new concept to two aquatic food web models as case studies, using temperature as the influencing abiotic factor. Flipbook-ENA can be considered an enhancement of ENA flexibility, also facilitating the provision of a quantitative assessment basis for socially, economically and ecologically-balanced management of ecosystems in unstable environmental conditions under the pressure of climate change.

Flipbook-ENA: 在不断变化的环境条件下实现动态生态网络分析
非生物参数的变化会影响生态系统结构和功能。带有后续生态网络分析(ENA)的网络模型通常用于通过描述性系统指数量化整个生态系统的属性。然而,"最先进的 "ENA 无法解决生态系统非生物动态变化的问题,因为分析方法在空间和时间上都是静态的。在本研究中,我们提出了一种新的、几乎是动态的ENA "Flipbook-ENA",它允许在确定的非生物因素范围内对系统指数进行趋势分析。通过将非生物因素的连续影响离散化,并计算每个离散化步骤在模型中的相应变化,Flipbook-ENA 可以实现动态系统响应的近似。因此,ENA 指数是非生物条件的离散函数。我们将这一新概念应用于两个水生食物网模型作为案例研究,并将温度作为非生物影响因素。Flipbook-ENA 可被视为ENA 灵活性的增强版,同时也有助于为气候变化压力下不稳定环境条件下生态系统的社会、经济和生态平衡管理提供定量评估依据。
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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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