An approach to assessing site index changes of Norway spruce based on spatially and temporally disjunct measurement series

• Published in: Forest ecology and management Vol. 323; pp. 10 - 19
• Main Authors: Yue, Chaofang, Mäkinen, Harri, Klädtke, Joachim, Kohnle, Ulrich
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 01-07-2014; Elsevier
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; Biological and medical sciences; Environmental changes; Forestry; Fundamental and applied biological sciences. Psychology; Mixed effect model; Norway spruce; OLS-based-CUSUM test; Site index; Synecology; Terrestrial ecosystems; Environmental changes; Norway spruce; Site index; OLS-based-CUSUM test; Mixed effect model; Forest ecology; Test; Mixed model; Softwood forest tree; Gymnospermae; Forestry; Environment; Coniferales; Spermatophyta; Picea abies
• ISSN: 0378-1127; 1872-7042
• DOI: 10.1016/j.foreco.2014.03.031

•Method for checking and quantifying site index changes based on rates of change in site index (ROCs).•Applicable for databases with temporally and spatially disjunct measurement series.•Checking and dating site index changes by OLS-CUSUM type empirical fluctuation process test.•Combination of forward and backward ROCs models to assess site index changes in annual resolution.•Norway spruce, Southwest Germany (1872–2010): site indices have increased since the mid 1950s.
Site index is an important characteristic for forest management and growth modelling, especially with regard to the ongoing environmental changes. This study introduces a new methodological approach to detecting and quantifying long-term changes in site index. It consists of: (1) a module to construct a reference site index curve from the data under investigation, (2) an OLS-based-CUSUM test to identify change points in development of site index over time, (3) a composite estimator for quantifying changes of the site index over time. The approach was developed using data from 541 Norway spruce (Picea abies [L.] Karst.) long-term experimental plots in southwest Germany between 1872 and 2010. The method is designed to exploit height measurement series of stands growing at different times and different locations (temporally and spatially disjunct). The approach indicated a change in the trajectory of site indices in the early 1950s. Site indices were stable until the change point and have displayed an almost continuous increase since then.