气候变化领域集成服务门户(CCPortal): Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data

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DOI	10.1016/j.foreco.2020.118690
	Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data
	Guerra-Hernández J.; Arellano-Pérez S.; González-Ferreiro E.; Pascual A.; Sandoval Altelarrea V.; Ruiz-González A.D.; Álvarez-González J.G.
发表日期	2021
ISSN	0378-1127
卷号	481
英文摘要	Site index (SI) is a common measure of forest site productivity, serving as a valuable baseline for forest management. The main objective of this study was to develop a SI model for Pinus pinaster Ait. in north-west Spain by combining bi–temporal, low–density airborne laser scanning (ALS) data (acquired in the periods 2009–2011 and 2015–2017) with climatic, edaphic and physiographical data. Site productivity, assessed by site quality curves, was modelled using an age-independent difference equation method based on ALS metrics and environmental variables. For the model development process, we used data from 156 sample plots in pure and even-aged P. pinaster stands distributed throughout Galicia (NW Spain) and measured in the Spanish National Forest Inventory (SNFI). The generalized algebraic difference approach (GADA) formulation was tested by using two different base equations for modelling the dominant height growth (ΔH) from ALS variables. The GADA formulation derived from the Bertalanffy's base model produced the best estimates of dominant height (H) for P. pinaster stands in Galicia. Use of the proposed model to estimate ΔH for a new pine stand requires two ALS data sets for estimating site-specific (local) parameters. To enable use of the model when such information is not available, the relationship between the values of the site-specific parameter and environmental variables was described using Multivariate Adaptive Regression Splines (MARS). Use of the MARS equation enabled us to develop spatially-explicit predictive maps of the site-specific parameter values, which can be used together with the GADA model to derive ΔH curves and SI estimates for P. pinaster stands in the whole study region. © 2020
英文关键词	Forest growth modelling; Forest productivity; LiDAR; Multi-temporal data
语种	英语
scopus关键词	Difference equations; Parameter estimation; Productivity; Airborne Laser scanning; Environmental variables; Generalized algebraic difference approach; Multivariate adaptive regression splines; National forest inventories; Pinus pinaster ait; Site-specific parameters; Spatially explicit; Forestry; airborne survey; coniferous tree; equation; growth response; laser method; multivariate analysis; site index; stand structure; Data; Estimates; Forestry; Height; Productivity; Site Index; Spain; Variables; Galicia [Spain]; Spain; Pinus pinaster
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154807
作者单位	3edata, Centro de iniciativas empresariais, Fundación CEL, O Palomar s/n, Lugo, 27004, Spain; Forest Research Centre, School of Agriculture, University of Lisbon, Instituto Superior de Agronomia, Portugal; Unidad de Gestión Ambiental y Forestal Sostenible (UXAFORES), Departamento de Ingeniería Agroforestal, Escuela Politécnica Superior de Ingeniería, Universidad de Santiago de Compostela, Campus Universitario s/n, Lugo, 27002, Spain; Departamento de Tecnología Minera, Topografía y de Estructuras, Grupo de Investigación en Geomática e Ingeniería Cartográfica GI-202-GEOINCA, Escuela Superior y Técnica de Ingenieros de Minas y Escuela de Ingeniería Agraria y Forestal, Universidad de León, Av. de Astorga s/n, Campus de Ponferrada, Ponferrada, 24401, Spain; Center for Global Discovery and Conservation Science, Arizona State University, Hilo, HA 96720, United States; Servicio de Inventario Forestal, Ministerio de Agricultura, Alimentación y Medio Ambiente, Madrid, 28071, Spain
推荐引用方式 GB/T 7714	Guerra-Hernández J.,Arellano-Pérez S.,González-Ferreiro E.,et al. Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data[J],2021,481.
APA	Guerra-Hernández J..,Arellano-Pérez S..,González-Ferreiro E..,Pascual A..,Sandoval Altelarrea V..,...&Álvarez-González J.G..(2021).Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data.Forest Ecology and Management,481.
MLA	Guerra-Hernández J.,et al."Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data".Forest Ecology and Management 481(2021).