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- W4385335944 abstract "Different species of plants have different adaptations to dry climates. The number of species may change with time under drought stress. Based on the improved logistic growth model (LGM), the ordinary differential equation was derived to predict the changes of plant community over time. The fourth order Runge Kutta equation was used to solve the solution, and the evolution process of plant community under drought stress was analyzed. First, as for the relationship between drought adaptability and the number of species, considering that the growth of plant community conforms to the law of biostatistics, this paper established the growth differential equation of species biomass by improving the logistic growth curve. In order to verify the feasibility of the model, two plants with competitive relationship, namely Rugondii and Artemisia orhaga, were selected for non-dimensional processing. Using fourth-order Runge-Kutta (ode45 function), the prediction curves of the two competing species with time can be obtained." @default.
- W4385335944 created "2023-07-29" @default.
- W4385335944 creator A5041572888 @default.
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- W4385335944 date "2023-07-28" @default.
- W4385335944 modified "2023-09-24" @default.
- W4385335944 title "Prediction of plant community evolution process based on improved logistic growth model" @default.
- W4385335944 cites W2018411089 @default.
- W4385335944 cites W2019406470 @default.
- W4385335944 doi "https://doi.org/10.1117/12.2686133" @default.
- W4385335944 hasPublicationYear "2023" @default.
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