在河流生态系统模型中量化人类影响的循环分析

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Virág Fábián , István Reguly , Ferenc Jordán
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引用次数: 1

摘要

在生态系统中,多种相互作用将各种成分联系在一起。强和弱以及积极和消极的影响导致复杂的动态和往往是相当不可预测的过程。人类的影响加上了这种复杂性,带来了各种各样的影响。本文以婆罗洲的克里安河生态系统为例进行了研究,该生态系统连接了上游的原始栖息地、靠近中部的金矿和下游的人类住区。对于六个地点,早前已经开发出了不同的食物网模型。在这里,我们首先通过循环分析来分析生态系统,并比较不同地点的结果。其次,我们确定了最关键的人类影响,并在修改的循环分析模型中实现这些影响。我们确定各种影响的标志,并研究人类对不同地点和各种生物体的影响的一致性。在模型中加入人为影响(1)增加了清晰预测的比例,(2)导致三个站点出现“零”预测,(3)降低了沿河可预测性的变异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Loop analysis quantifying human impact in a river ecosystem model

In ecological systems, multiple interactions connect various kinds of components. Strong and weak as well as positive and negative effects cause complex dynamics and often quite unpredictable processes. Human impact is added to this complexity, with all of its diverse effects. In this paper, we present a case study on the Kelian river ecosystem (Borneo), connecting pristine habitats upstream, a gold mine close to the middle section and human settlements downstream. For six locations, separate food web models had been developed earlier. Here we first analyze the ecological system by loop analysis and compare its outcome for different sites. Second, we identify the most crucial human impacts and implement these in modified loop analysis models. We determine the sign of various effects and study the consistency of human impact on different sites and various organisms. Adding human impact to the models (1) increased the ratio of clear predictions, (2) caused the appearance of “zero” predictions in three sites and (3) reduced the variability of predictability along the river.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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