ForestScope: Comprehensive tool for analysing soil, climate, and stand data in forest ecosystems

IF 3.2 3区环境科学与生态学 Q2 ECOLOGY

Ecological Modelling Pub Date : 2025-06-28 DOI:10.1016/j.ecolmodel.2025.111251

Mahdi (André) Nakhavali , Andrey Lessa Derci Augustynczik , Anna Repo , Elia Vangi , Petr Havlík

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引用次数: 0

Abstract

In environmental conservation and management, analysing soil, climate, and stand data within forest ecosystems is crucial for understanding ecological dynamics, projecting changes, and developing sustainable forestry practices. Often, these data are scattered and unintegrated, complicating their use in modelling and analysis. Current tools lack modular integration of soil, climate, and stand data at large and diverse NFI datasets like International Co-operative Programme (ICP) scale (12,000+ sites). ForestScope bridges this gap by automating harmonization of ICP’s Level I/II datasets, together with soil and climate data, which is essential for informed decision-making in forest management.

ForestScope introduces an open-source framework designed to systematically organize, extract, and harmonize fragmented soil, climate, and stand data from ICP datasets. It includes comparative analyses of International Soil Reference and Information Centre (ISRIC) and Harmonized World Soil Database (HWSD) soil datasets, and assessments of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) climate models and Climatologies at High resolution for the Earth’s Land Surface Areas (CHELSA) against observational data, selecting HWSD v2.0 and CHELSA as optimal for ICP data gaps.

Additionally, ForestScope integrates a vegetation model enhancing National Forest Inventory (NFI) data processing, thus improving forest ecosystem modelling. This advancement deepens our understanding of forest dynamics and supports more effective management strategies.

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ForestScope：用于分析森林生态系统中土壤、气候和林分数据的综合工具

在环境保护和管理方面，分析森林生态系统内的土壤、气候和林分数据对于了解生态动态、预测变化和发展可持续林业实践至关重要。通常，这些数据是分散和不整合的，使它们在建模和分析中的使用变得复杂。目前的工具缺乏对大型和不同的NFI数据集(如国际合作计划（ICP）规模（12,000多个站点）的土壤、气候和林分数据的模块化集成。ForestScope通过自动协调ICP的I/II级数据集以及土壤和气候数据弥补了这一差距，这对森林管理中的知情决策至关重要。ForestScope引入了一个开源框架，旨在系统地组织、提取和协调ICP数据集中的破碎土壤、气候和林分数据。它包括对国际土壤参考和信息中心（ISRIC）和世界土壤统一数据库（HWSD）土壤数据集的比较分析，以及对观测数据的跨部门影响模型比对项目（ISIMIP）气候模型和高分辨率地球地表气候（CHELSA）的评估，选择HWSD v2.0和CHELSA作为ICP数据缺口的最佳选择。此外，ForestScope集成了一个植被模型，增强了国家森林清查（NFI）数据处理，从而改进了森林生态系统建模。这一进展加深了我们对森林动态的理解，并支持更有效的管理战略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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/).