Explicit predictions of species richness from net primary productivity: setting and discussion

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2025-06-01 Epub Date: 2025-04-13 DOI:10.1016/j.ecolmodel.2025.111111
Allen G. Hunt
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Abstract

Critical problems in ecology, such as plant species richness and net primary productivity, NPP, are linked with the principal water fluxes of hydrologic sciences, evapotranspiration (plant growth), and run-off (chemical weathering and soil formation). Each of these links is established using modern physics approaches based on percolation theory from complexity studies with the resulting spatio-temporal scaling functions ultimately derived from renormalization-based methods. Approaching such problems from the perspective of the hydrologic fluxes, rather than, e.g., soil moisture content, and using such methods of physics allows application of a direct ecological optimality hypothesis (Darwin-based) regarding maximization of NPP with respect to the fluxes. This procedure opens up possibilities for a wide range of (verified) predictions in (eco-)hydrology as well as a range of discussions on Darwinian and Newtonian perspectives, the value of generalizations from thermodynamics vs. statistical mechanics, simplifications arising from focus on fluxes, rather than state variables, etc., and may provide a foundation for advancing species richness theory as well.
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净初级生产力对物种丰富度的明确预测:设定与讨论
生态学中的关键问题,如植物物种丰富度和净初级生产力(NPP),与水文科学的主要水通量、蒸散发(植物生长)和径流(化学风化和土壤形成)有关。这些联系中的每一个都是使用基于复杂性研究的渗透理论的现代物理方法建立的,最终得到的时空尺度函数来源于基于重整化的方法。从水文通量的角度,而不是从土壤含水量等角度来处理这类问题,并使用这类物理方法,可以应用关于通量方面NPP最大化的直接生态最优假设(以达尔文为基础)。这一过程为(生态)水文学中广泛的(经过验证的)预测开辟了可能性,也为达尔文和牛顿的观点、热力学与统计力学的概括价值、关注通量而不是状态变量所产生的简化等一系列讨论开辟了可能性,并可能为推进物种丰富度理论提供基础。
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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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