International Scientific Journal on Reforestation, Afforestation and Tree Reproduction
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Issue 21, 2026

Online ISSN: 2466-4367

, Issue 21, (2026)

Published: 22.01.2026.

Open Access

This Special Issue of Reforesta, International Practices for Regenerating and Restoring Forest Trees by Seeding, brings together regional practice and research from North America, South America, Europe, Asia, and Oceania on using broadcast and direct seeding to create forest cover. It presents a significant range of seeding activities inclusive of species, forests, sites, and climates. Seeding has regained interest because of its scalability and cost-effectiveness, particularly for remote or inaccessible areas, sites with low productivity where planting seedling costs are prohibitive, or when aiming for a more natural forest structure. Technological innovations, particularly in seed treatments, automation, and precision seeding improve success of large-scale seed dispersal.

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01.12.2018.

Research paper

TREND-RUN model application of surface temperature and its implications for South African forestry and reforestation using local weather services data
Temperature can directly and indirectly impact the livelihood of inhabitants of a country and the natural environment as a whole. The surface temperature trend approximations for South Africa (SA) were calculated using a linear-regression fitting model. The model was adapted at The University of Reunion Island and was referred to as the Trend-Run model. The geophysical signal of the model was split into a sum of oscillations, which was used to clarify most of its variability. The trend values were calculated from the residual terms as a linear function. The model used atmospheric oscillations, which included Annual (AO), Semi-Annual (SAO), Quasi-Biennial Oscillations (QBO), El Niño-Southern Oscillation (ENSO), the 11-years solar cycle-Sun Spot Number (SSN) and Indian Ocean Dipole (IOD). The South African Weather Service (SAWS) data were used for the study. Data sets over a 31-year period, from March 1980 to December 2011, were used to measure the validity of the Trend-Run model, to determine the contribution and effect of this particular oscillation, and the validity of the model. The Trend-Run model showed very high applicability to the surface temperatures in all provinces across the SA region under investigation. High coefficient of determination values between (0.70-0.91) were recorded for surface temperatures across all provinces in the country with minor variations. The AO, ENSO and SAO were the highest contributing forcings in the model, thereby showing their high relevance to the success of this model in the study area. The temperature increases are expected to negatively impact on the biomes of SA, including the forest biome. Selected tree species of Acacia, Eucalyptus and Pinus could be impacted negatively with rising temperatures, which would negatively impact on the forestry industry in SA. As expected, the model did obtain a high success rate that ranged from 70% to 91% in the areas under study, however, there was still room for improvement by the possible inclusion of additional atmospheric forcings to the model that maybe be applicable to the weather and forestry distribution in SA.

Raven Jimmy, Pramanathan Govender, Hassan Bencherif, Matthew Moodley