Predicting Ecological Consequences of Invasive Alien Plants in Kashmir Himalayas With Artificial Intelligence

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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2026
Pages: 28
Source title: Impact of Invasive Grasses and Plants on Biodiversity
Source Author(s)/Editor(s): Sana Basharat (Hainan University, China)
DOI: 10.4018/979-8-3693-8724-5.ch010

Keywords: Biodiversity / Botany and Plant Biology / Engineering Science Reference / Knowledge Management and Library Science

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Abstract

Invasive alien species (IAS) of plants are one of the key drivers of loss of ecosystem diversity, especially in ecologically sensitive regions like the Kashmir Himalayas. The present paper discusses the impact of IAS plants on native biodiversity and ecosystem functions in terraced farming fields and natural ecosystems of the region. The data were collected during 2024 Kharif season from Majhkhet Village, Uttarakhand, such as climatic conditions, distribution of species, and ecosystem factors. After preprocessing, Particle Swarm Optimization (PSO) was applied to determine the most important features influencing invasion dynamics. An Artificial Neural Network (ANN) model was then built to predict the effect of invasive species on ecosystem diversity. The ANN showed good predictive performance, recovering intricate nonlinear interactions and offering valuable insights into patterns of invasion under varying environmental conditions.

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Predicting Ecological Consequences of Invasive Alien Plants in Kashmir Himalayas With Artificial Intelligence

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