The impact of climate on the dominant height and climate thresholds for P. elliottii, P. taeda, P. patula, and P. patula x P. tecunumanii plantation forests

Author:

van der Merwe Jaco-Pierre12,Lindner Gerard2345,Ernst Yolandi6,Germishuizen Ilaria7,van Heerden Elane3,Zandberg Hugo3,Sibiya Gabigabi3,Raboho Ndamulelo3,De Waal Lizette25,Ndlovu Thabani25,Mabaso Leonard25,Zondach Niel25,Christie Nanette8,Clarke Charlie9,Mansfield Shawn D.110ORCID

Affiliation:

1. Department of Wood Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

2. Research Division, York Timbers, Sabie, Mpumalanga, South Africa

3. Planning Division, York Timbers, Sabie, Mpumalanga, South Africa

4. Stellenbosch University, Department of Forestry, Stellenbosch, Western Cape, South Africa

5. Tree Breeding Division, York Timbers, Sabie, Mpumalanga, South Africa

6. School of Animal, Plant and Environmental Sciences, Faculty of Science, University of the Witwatersrand, Johannesburg, Gauteng, South Africa

7. Institute for Commercial Forestry Research, Pietermaritzburg, KZN, South Africa

8. Department Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, Gauteng, South Africa

9. CharlieC Consulting, Cheltenham, Gloucestershire GL54 4NU, UK

10. Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

Abstract

Plantation forests were introduced into South Africa to satisfy the regional demand for wood-based products, which are largely found in the Mpumalanga province. To better understand the impacts of climate on the dominant height growth of commercially important plantation species, enumeration data collected from 2012 to 2023 was scrutinised, representing 34740 plots in 2082 plantation compartments. Statistically significant multiple linear regression models were developed to predict dominant heights for Pinus elliottii, Pinus taeda, Pinus patula, and Pinus patula x Pinus tecunumanii hybrids using climate variables as independent factors. Mean annual maximum temperature was statistically significant when modelling dominant height for P. elliottii, while winter maximum temperature was significant for P . taeda, P. patula, and P. patula x P. tecunumanii. Rainfall was found to be significant for P. elliottii and P. taeda, while spring rainfall was found to be more important when modelling dominant height for P. patula. Interestingly, autumn rainfall was found to have a negative impact on dominant height growth of P. taeda and P. patula, while rainfall was not significant in P. patula x P. tecunumanii. The findings imply that the southern pines have water thresholds, while Mexican pines are more temperature limited than water limited.

Funder

York Timbers

Publisher

Canadian Science Publishing

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