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Jurnal

Computational Ecology and Software

ISSN 2220-721X · International Academy of Ecology and Environmental Sciences · 248 artikel di indeks

  1. Artikel Jurnal

    AI-driven assessment of animal adaptation to climate change: The web tool based on physiological, morphological, behavioral, and genetic indicators of animal species

    WenJun Zhang

    Computational Ecology and Software, Vol. 16 No. 1 · 2026 · Inggris · DOAJ

    In present study a system of hierarchical indicators to assess animal species' adaptation to climate change was constructed, and the AI-driven assessment tool was developed. It is a single-page web tool that: (1) Collects species and context information from the user. (2) Lets the user choose an AI…

  2. Artikel Jurnal Teks lengkap

    A dynamical model describing how acid rain affects the growth of plants in a habitat

    Niranjan Swaroop; Ram Naresh Tripathi; Shyam Sundar

    Computational Ecology and Software, Vol. 16 No. 1 · 2026 · Inggris · DOAJ

    Acid rain formation in the atmosphere is a serious environmental hazard that causes enormous ecological harm. It is formed by the interaction of air pollutants with vapour clouds. It threatens biodiversity, damages ecosystems, and has a negative effect on plant growth. In this paper, we propose a…

  3. Artikel Jurnal Teks lengkap

    Harnessing RStudio package for ecological insights: Monitoring Diatoms with DiaThor

    Arpita Srivastava; Simoni Singhal; Anuradha Yadav, et al.

    Computational Ecology and Software, Vol. 16 No. 1 · 2026 · Inggris · DOAJ

    This study aims to integrate open-source computational tools with ecological biomonitoring by harnessing the capabilities of RStudio and the DiaThor package. The goal is to simplify the calculation of diatom-based indices and generate insightful visualizations for water quality assessment. Using…

  4. Artikel Jurnal Teks lengkap

    Hybrid physics-informed deep learning with explainable graph neural networks for climate-driven biodiversity forecasting: A multi-scale approach

    Mohamed Mazloum Salem

    Computational Ecology and Software, Vol. 16 No. 2 · 2026 · Inggris · DOAJ

    Climate change poses unprecedented threats to global biodiversity, necessitating advanced computational frameworks for predicting species distributions and ecosystem responses under future climate scenarios. Traditional species distribution models (SDMs) and mechanistic approaches lack the capacity…

  5. Artikel Jurnal Teks lengkap

    Species Distribution Finder: The AI-driven web tool to discover where species live around the world

    WenJun Zhang

    Computational Ecology and Software, Vol. 16 No. 2 · 2026 · Inggris · DOAJ

    Understanding the global distribution of species is crucial for their conservation, utilization, and management of the species. In present study, the AI-driven web tool, Species Distribution Finder, was developed. The Species Distribution Finder is a front-end HTML/JavaScript application that…

  6. Artikel Jurnal Teks lengkap

    Modelling and analysis of the effects of deforestation caused by various developments on the growth of wildlife species

    Shikha Jatav; Shyam Sundar; Alok Malviya

    Computational Ecology and Software, Vol. 16 No. 2 · 2026 · Inggris · DOAJ

    Deforestation, driven by rapid urbanization, industrialization, and other developmental activities, poses a significant threat to wildlife by disrupting natural habitats and forcing various wildlife species to migrate in search of more suitable and safer environments. This uncontrolled and often…

  7. Artikel Jurnal Teks lengkap

    AI-driven assessment of plant adaptation to climate change: The web tool based on physiological, biological, morphological, and genetic indicators of plant species

    WenJun Zhang

    Computational Ecology and Software, Vol. 16 No. 2 · 2026 · Inggris · DOAJ

    A hierarchical indicator system and scoring sytem to assess plant species' adaptation to climate change was constructed in present study. The AI-driven assessment tool based on the systems was developed. It features with (1) Multi-dimensional adaptive capacity analysis. (2) Support for multiple AI…

  8. Artikel Jurnal Teks lengkap

    The Niche-Energy-Time triadic synergy hypothesis (NET Hypothesis): A unified explanatory framework for determinants of species diversity

    WenJun Zhang

    Computational Ecology and Software, Vol. 16 No. 3 · 2026 · Inggris · DOAJ

    The geographical patterning of species diversity, most famously the latitudinal gradient, one of the oldest and most celebrated patterns in ecology, still lacks a unified mechanistic explanation. Existing hypotheses, including the species-energy hypothesis, the environmental heterogeneity…

  9. Artikel Jurnal Teks lengkap

    Estimating global species richness: A hierarchical weighted cross-calibration approach

    WenJun Zhang

    Computational Ecology and Software, Vol. 16 No. 3 · 2026 · Inggris · DOAJ

    The total number of species on Earth is a fundamental metric in ecology and conservation biology, yet after three centuries of taxonomic effort estimates span two orders of magnitude (2 million to over 1 billion), with little sign of convergence. This persistent uncertainty stems from three…

  10. Artikel Jurnal Teks lengkap

    A cellular automaton-agent hybrid model for forest fire spread and intelligent suppression

    Chaoran Chen

    Computational Ecology and Software, Vol. 16 No. 3 · 2026 · Inggris · DOAJ

    Forest fires are complex spatiotemporal phenomena influenced by local interactions, environmental conditions, and human intervention. In this study, we propose a hybrid modeling framework that integrates a probabilistic cellular automaton (CA) for fire propagation with mobile intelligent agents for…

  11. Artikel Jurnal Teks lengkap

    Sensitivity analysis and parameter estimation for evaluating the impact of water pollution on aquatic species

    Christopher David Ngalya; Silas Mirau; Maranya Mayengo

    Computational Ecology and Software, Vol. 15 No. 4 · 2025 · Inggris · DOAJ

    Aquatic ecosystems are highly sensitive to changes in environmental conditions, making it essential to identify the key factors that influence the dynamics of species populations. This study introduced a nonlinear mathematical model, analyzed it, and identified key sensitive parameters that were…

  12. Artikel Jurnal Teks lengkap

    Sequential GP-UCB Bayesian optimization for deep neural network fine-tuning in dissolved oxygen prediction

    Farid Hassanbaki Garabaghi; Semra Benzer; Recep Benzer

    Computational Ecology and Software, Vol. 15 No. 4 · 2025 · Inggris · DOAJ

    Dissolved Oxygen (DO) serves as a crucial measure of water quality, imperative for both aquatic life and human consumption. The application of deep learning, particularly through data-driven predictions, offers a robust tool for estimating DO concentrations. Enhanced precision is achieved by…

  13. Artikel Jurnal Teks lengkap

    Quantifying carbon stock of a community-managed overwashed mangrove forest in Batangas, Philippines

    Mario A. Cudiamat

    Computational Ecology and Software, Vol. 15 No. 4 · 2025 · Inggris · DOAJ

    Mangrove ecosystem plays a crucial role in promoting biodiversity and mitigating climate change impacts. Calatagan, Batangas as a corridor of the Verde Island Passage, Philippines - the center of the center of marine shore fish biodiversity in the world, has a huge potential for carbon storage…

  14. Artikel Jurnal Teks lengkap

    A machine learning model for early detection of sexually transmitted infections

    Juma Shija; Judith Leo; Elizabeth Mkoba

    Computational Ecology and Software, Vol. 15 No. 2 · 2025 · Inggris · DOAJ

    Sexually transmitted infections (STIs) are diseases transmitted mostly through unprotected sex with an infected partner. STIs can be transmitted to an infant before or during childbirth. More than one million sexually transmitted infections (STIs) are acquired every day worldwide. In the most…

  15. Artikel Jurnal Teks lengkap

    The state of drained peatlands in the Middle Urals and prospects of their use for carbon farming

    Seyed Omid Reza Shobairi; Alenakochubei; Olga Cherepanova, et al.

    Computational Ecology and Software, Vol. 15 No. 2 · 2025 · Inggris · DOAJ

    The global change of the planet's climate is associated with increased concentration of greenhouse gases in the atmosphere, which is the result of irrational human economic activity. Wetlands are a natural and efficient store of carbon dioxide. It covers only about 6% of the land surface. Peatlands…

  16. Artikel Jurnal Teks lengkap

    probDistriCal: The online calculator for probability distributions

    WenJun Zhang

    Computational Ecology and Software, Vol. 15 No. 2 · 2025 · Inggris · DOAJ

    In present study, a calculator, probDistriCal, was developed for probability distributions. In the calculator, the probability distributions as normal distribution, t distribution, F distribution, χ2 distribution, exponential distribution, power law distribution, Weibull distribution, Zhang…

  17. Artikel Jurnal Teks lengkap

    From maps to models: Key concepts in Geographic Information Systems

    Yohannes Shifera Daka; Kassaye Hussein; Ashenafi Yimam

    Computational Ecology and Software, Vol. 15 No. 3 · 2025 · Inggris · DOAJ

    Geographic Information Systems (GIS) have dramatically altered the landscape of spatial data analysis, which have allowed practitioners and scholars to gain important insights in a variety of domains, including emergency response, environmental management, and urban planning. Central to the…

  18. Artikel Jurnal Teks lengkap

    Assessing the effect of dynamics of unpredictable locust invasive behavior and its effect on food security and community livelihood

    Mfano Charles Petro

    Computational Ecology and Software, Vol. 15 No. 3 · 2025 · Inggris · DOAJ

    Locusts are a highly destructive type of pest within the grasshopper species worldwide. When there is an invasion at a specific location, they can cause severe damage to crops. This study presents a mathematical model that examines locust invasions in terms of their dynamic behavior in both the…

  19. Artikel Jurnal Teks lengkap

    Eco-Sustainability assessment of Integrated Pest Management (IPM) techniques: Indicator system and calculator

    WenJun Zhang

    Computational Ecology and Software, Vol. 15 No. 3 · 2025 · Inggris · DOAJ

    Integrated Pest Management (IPM) is an ecosystem-based strategy that focuses on sustainable control of pests through a combination of techniques. In present study, an indicator system, which is a hierarchical system, for eco-sustainability assessment of Integrated Pest Management techniques is…

  20. Artikel Jurnal Teks lengkap

    Design of an open-source software system for water temperature monitoring

    Joao E. M. Perea Martins

    Computational Ecology and Software, Vol. 15 No. 3 · 2025 · Inggris · DOAJ

    This article presents the software and hardware components of an open-source system designed for water temperature monitoring. The system can handle measurements from up to eight sensors at user-defined time intervals. It was designed with the waterproof temperature sensor model DS18B20, an Arduino…