Latest trends in modelling forest ecosystems: new approaches or just new methods?
Fecha
2023Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
10.1007/s40725-023-00189-y
Resumen
Purpose of Review: Forest models are becoming essential tools in forest research, management, and policymaking but currently are under deep transformation. In this review of the most recent literature (2018–2022), we aim to provide an updated general view of the main topics currently attracting the eforts of forest modelers, the trends already in place, and some of the current and future challeng ...
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Purpose of Review: Forest models are becoming essential tools in forest research, management, and policymaking but currently are under deep transformation. In this review of the most recent literature (2018–2022), we aim to provide an updated general view of the main topics currently attracting the eforts of forest modelers, the trends already in place, and some of the current and future challenges that the feld will face. Recent Findings: Four major topics attracting most of on current modelling eforts: data acquisition, productivity estimation, ecological pattern predictions, and forest management related to ecosystem services. Although the topics may seem diferent, they all are converging towards integrated modelling approaches by the pressure of climate change as the major coalescent force, pushing current research eforts into integrated mechanistic, cross-scale simulations of forest functioning and structure. Summary: We conclude that forest modelling is experiencing an exciting but challenging time, due to the combination of new methods to easily acquire massive amounts of data, new techniques to statistically process such data, and refnements in mechanistic modelling that are incorporating higher levels of ecological complexity and breaking traditional barriers in spatial and temporal scales. However, new available data and techniques are also creating new challenges. In any case, forest modelling is increasingly acknowledged as a community and interdisciplinary efort. As such, ways to deliver simplifed versions or easy entry points to models should be encouraged to integrate non-modelers stakeholders into the modelling process since its inception. This should be considered particularly as academic forest modelers may be increasing the ecological and mathematical complexity of forest models [--]
Materias
Forest modelling,
Forests,
Methods
Editor
Springer
Publicado en
Current Forestry Reports (2023), 9
Departamento
Universidad Pública de Navarra. Departamento de Ciencias /
Nafarroako Unibertsitate Publikoa. Zientziak Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute for Multidisciplinary Research in Applied Biology - IMAB
Versión del editor
Entidades Financiadoras
Open Access funding provided by Universidad Pública de Navarra