Lv Changchun, Zhang Ye, Lei Yulin, Yuan Ziwei, Duan Dongli
School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710311, China.
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Entropy (Basel). 2025 Feb 24;27(3):231. doi: 10.3390/e27030231.
Identifying the relation between biodiversity and mutualistic ecosystem function has been a longstanding concern. In this study, we present an interpretive model to evaluate the impact of each species on mutualistic ecosystem functions. By analyzing network resilience, we derive the average abundance and tipping point of the ecosystem to represent ecosystem functions. Based on the order of species collapse, each species is classified according to the -core. The model quantitatively evaluates the influence of species on mutualistic ecosystem functions in scenarios where species are removed from ecosystems. We propose a criterion for identifying redundant species: a species is considered redundant if its removal negatively impacts average abundance without affecting the tipping point. To validate the model, we introduce twenty-four mutualistic ecosystems. Our numerical simulations and analytical analyses reveal two distinct patterns: one indicating the presence of redundancy and the other suggesting that each species is essential. Additionally, in mutualistic ecosystems characterized by redundancy, specialist species are more likely to be identified as redundant.
确定生物多样性与互利共生生态系统功能之间的关系一直是人们长期关注的问题。在本研究中，我们提出了一个解释性模型，以评估每个物种对互利共生生态系统功能的影响。通过分析网络弹性，我们得出生态系统的平均丰度和临界点来代表生态系统功能。根据物种崩溃的顺序，每个物种按照-核心进行分类。该模型定量评估了在物种从生态系统中被移除的情况下，物种对互利共生生态系统功能的影响。我们提出了一个识别冗余物种的标准：如果一个物种的移除对平均丰度产生负面影响而不影响临界点，那么该物种被认为是冗余的。为了验证该模型，我们引入了24个互利共生生态系统。我们的数值模拟和分析揭示了两种不同的模式：一种表明存在冗余，另一种表明每个物种都是必不可少的。此外，在以冗余为特征的互利共生生态系统中，专家物种更有可能被识别为冗余。
