C language + Python code example to realize the interactive relationship between climate and species

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The interaction between climate and species is an important research area in ecology, covering how climate affects the distribution, behavior and interactions of organisms. Research in this area is often explored in depth using methods such as food web modeling and ecological network analysis.

Principle explanation:

Climatic factors (such as temperature, precipitation, seasonal changes, etc.) have direct and indirect effects on the interactions between different species. These effects can be studied in one of the following ways:

  1. Ecological network analysis: Researchers construct ecological networks, in which species are represented as nodes and interactions between them (such as food relationships, competition relationships, etc.) are represented as edges. By analyzing the structure and dynamics of ecological networks, it is possible to understand how climate factors influence interaction patterns between different species.

  2. Food web modeling: Use mathematical models to simulate the dynamics of food chains, food webs, and networks of interactions. These models can account for the impact of climate factors on food supply, species distribution, and ecosystem stability.

flow chart:

Here is a simplified flowchart illustrating how to study climate-species interactions:

  1. Data collection: Collect climate data and species distribution data.

  2. Data preprocessing: cleaning and processing data

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Origin blog.csdn.net/feng1790291543/article/details/132499613
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