Abstract
Forest landscape models (FLMs) simulate forest dynamics by integrating stand- and landscape-scale processes. Thus, evaluating FLMs simulations necessitates including both processes. Thus far, stand-scale processes were evaluated in some FLMs, whereas landscape-scale processes were rarely evaluated. This study presents a framework that evaluates both stand- and landscape-scale processes. For the stand-scale processes, we proposed using stand density management diagrams to evaluate the simulated stand development trajectories that encapsulate the interplay of tree growth, competition, and mortality. For the landscape-scale processes, we evaluated seed dispersal, the basic spatial process driving forest landscape dynamics and not evaluated previously, through comparing simulated tree species colonization pattern against tree age distribution data from inventory data. We demonstrated the applicability of the framework to a 300-year historical forest landscape reconstructed using LANDIS. Given the common features, the framework is applicable to other FLMs or terrestrial ecosystem models operating at large scales.
| Original language | English |
|---|---|
| Article number | 106327 |
| Journal | Environmental Modelling and Software |
| Volume | 185 |
| DOIs | |
| State | Published - Feb 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
Funding
This work was supported by the National Natural Science Foundation of China (42301121, 32371651, 32171562, 32301379), the Fund of CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences No. KLFES-2031, the Open Fund of Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, and the Natural Science Foundation from Department of Science & Technology of Liaoning province (2023-BS-023). HH's funding support is from the University of Missouri GIS Mission Enhancement Program. This work was supported by the National Key Research and Development Program of China (2024YFD1501701-2), the National Natural Science Foundation of China (42301121, 32371651, 32171562), the Fund of CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences No.KLFES-2031, the Open Fund of Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, and the Natural Science Foundation from Department of Science & Technology of Liaoning province (2023-BS-023). HH\u2019s funding support is from the University of Missouri GIS Mission Enhancement Program.
| Funders | Funder number |
|---|---|
| Ministry of Education China | |
| CAS Key Laboratory of Forest Ecology and Silviculture | |
| University of Missouri – St. Louis | |
| Natural Science Foundation from Department of Science & Technology of Liaoning province | 2023-BS-023 |
| National Natural Science Foundation of China (NSFC) | 32301379, 32171562, 32371651, 42301121 |
| National Natural Science Foundation of China (NSFC) | |
| Institute of Applied Ecology, Chinese Academy of Sciences | KLFES-2031 |
| Institute of Applied Ecology, Chinese Academy of Sciences | |
| National Key Basic Research and Development Program of China | 2024YFD1501701-2 |
| National Key Basic Research and Development Program of China |
Keywords
- Historical forest landscape dynamics
- LANDIS PRO
- Landscape-scale process
- Stand-scale process
- Validation
ASJC Scopus subject areas
- Software
- Environmental Engineering
- Ecological Modeling