4.4 Article

Cascading extinctions, functional complementarity, and selection in two-trophic-level model communities: A trait-based mechanistic approach

期刊

JOURNAL OF THEORETICAL BIOLOGY
卷 267, 期 3, 页码 375-387

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2010.08.031

关键词

Biodiversity; Functional traits; Ecosystem functioning; Selection effect; Complementarity

资金

  1. Canada Research Chair
  2. Natural Sciences and Engineering Research Council of Canada
  3. French Ministry of Agriculture

向作者/读者索取更多资源

The influence of diversity on ecosystem functioning and ecosystem services is now well established. Yet predictive mechanistic models that link species traits and community-level processes remain scarce, particularly for multitrophic systems. Here we revisit MacArthur's classical consumer resource model and develop a trait-based approach to predict the effects of consumer diversity on cascading extinctions and aggregated ecosystem processes in a two-trophic-level system. We show that functionally redundant efficient consumers generate top-down cascading extinctions. This counterintuitive result reveals the limits of the functional redundancy concept to predict the consequences of species deletion. Our model also predicts that the biodiversity-ecosystem functioning relationship is different for different ecosystem processes and depends on the range of variation of consumer traits in the regional species pool, which determines the sign of selection effects. Lastly, competition among resources and consumer generalism both weaken complementarity effects, which suggests that selection effects may prevail at higher trophic levels. Our work emphasizes the potential of trait-based approaches for transforming biodiversity and ecosystem functioning research into a more predictive science. (C) 2010 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
Article Biology

A framework for relating natural movement to length and quality of life in human and non-human animals

Iain Hunter, Raz Leib

Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

A geometric approach to the evolution of altruism

Andy Gardner

Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

A mathematical framework for the emergence of winners and losers in cell competition

Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker

Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

The eco-evolutionary dynamics of Batesian mimicry

Haruto Tomizuka, Yuuya Tachiki

Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Gene drives for the extinction of wild metapopulations

Jason W. Olejarz, Martin A. Nowak

Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Intelligent phenotype-detection and gene expression profile generation with generative adversarial networks

Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti

Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Network-based uncertainty quantification for mathematical models in epidemiology

Beatrix Rahnsch, Leila Taghizadeh

Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Dynamics of cell-type transition mediated by epigenetic modifications

Rongsheng Huang, Qiaojun Situ, Jinzhi Lei

Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Comparative analysis of kinetic realizations of insulin signaling

Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao

Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Simulating tumor volume dynamics in response to radiotherapy: Implications of model selection

Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid

Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.

JOURNAL OF THEORETICAL BIOLOGY (2024)

Article Biology

Pillars of theoretical biology: Biochemical systems analysis, I, II and III

Armindo Salvador

Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.

JOURNAL OF THEORETICAL BIOLOGY (2024)