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Forskningsartikel2022Vetenskapligt granskadÖppen tillgång

Species Mixing Proportion and Aridity Influence in the Height-Diameter Relationship for Different Species Mixtures in Mediterranean Forests

Rodriguez de Prado, Diego; Riofrio, Jose; Aldea, Jorge; McDermott, James; Bravo, Felipe; Herrero de Aza, Celia

Sammanfattning

Estimating tree height is essential for modelling and managing both pure and mixed forest stands. Although height-diameter (H-D) relationships have been traditionally fitted for pure stands, attention must be paid when analyzing this relationship behavior in stands composed of more than one species. The present context of global change makes also necessary to analyze how this relationship is influenced by climate conditions. This study tends to cope these gaps, by fitting new H-D models for 13 different Mediterranean species in mixed forest stands under different mixing proportions along an aridity gradient in Spain. Using Spanish National Forest Inventory data, a total of 14 height-diameter equations were initially fitted in order to select the best base models for each pair species-mixture. Then, the best models were expanded including species proportion by area (m(i)) and the De Martonne Aridity Index (M). A general trend was found for coniferous species, with taller trees for the same diameter size in pure than in mixed stands, being this trend inverse for broadleaved species. Regarding aridity influence on H-D relationships, humid conditions seem to beneficiate tree height for almost all the analyzed species and species mixtures. These results may have a relevant importance for Mediterranean coppice stands, suggesting that introducing conifers in broadleaves forests could enhance height for coppice species. However, this practice only should be carried out in places with a low probability of drought. Models presented in our study can be used to predict height both in different pure and mixed forests at different spatio-temporal scales to take better sustainable management decisions under future climate change scenarios.

Nyckelord

mixed forests performance; species mixing proportions; climate-smart forestry; height-diameter relationship; adaptive silviculture; national forest inventory data; NLMM; programming; machine learning

Publicerad i

Forests
2022, Volym: 13, nummer: 1, artikelnummer: 119
Utgivare: MDPI

    Associerade SLU-program

    SLU Skogsskadecentrum

    Globala målen

    Skydda, återställa och främja ett hållbart nyttjande av landbaserade ekosystem, hållbart bruka skogar, bekämpa ökenspridning, hejda och vrida tillbaka markförstöringen samt hejda förlusten av biologisk mångfald
    Vidta omedelbara åtgärder för att bekämpa klimatförändringarna och dess konsekvenser

    UKÄ forskningsämne

    Skogsvetenskap

    Publikationens identifierare

    DOI: https://doi.org/10.3390/f13010119

    Permanent länk till denna sida (URI)

    https://res.slu.se/id/publ/115895