Reforestation challenges in Southeast Europe facing climate change

Ivetić, Vladan; Devetaković, Jovana

doi:10.21750/10.21750/refor.1.10.10

Cited by 30 publications

(19 citation statements)

References 210 publications

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“…However, many other projects, perhaps less well-publicized, are also being implemented in several other countries, where they are also expected to contribute to climate change mitigation [41][42][43]. For example, the Cape Verdean government and FAO signed in 2017, a five million euro agreement for the European funding of the project entitled "Strengthening the Capacities and Resilience of the Forest Sector in Cape Verde".…”

Section: Introductionmentioning

confidence: 99%

Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage

Nunes

Meireles

Gomes

et al. 2020

Climate

140

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Today, climate change is assumed by many researchers and scholars as a certainty and is presented as the biggest challenge humanity has ever faced. It is commonly accepted that anthropogenic greenhouse gas emissions are the main cause that is accelerating the process. Therefore, it is urgent to find solutions to mitigate climate change, mainly because the intense effects have already been felt, in many cases in the form of the occurrence of extremely violent weather events. Forests are undoubtedly one of the most effective and easiest ways to provide the function of carbon sinks. However, it is essential and convenient to analyze the permanence time of this carbon in forests, because this permanence time depends directly on the forest management model used. This article aims to analyze forest management models from the perspective of carbon residence time in temperate forests, dividing the models into three types, namely carbon conservation models, carbon storage models, and carbon substitution models, according to their ability to contribute to functioning as carbon sinks, thereby contributing to the mitigation of climate change.

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Section: Introductionmentioning

confidence: 99%

Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage

Nunes

Meireles

Gomes

et al. 2020

Climate

140

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“…Assessment of seedling quality is a vital component of reforestation programs (Rose et al 1990, Ivetić & Devetaković 2016. However, planting high-quality seedlings does not guarantee outplanting success.…”

Section: Introductionmentioning

confidence: 99%

“…Seedling morphology remains the basis for stock type characterization (Thompson 1985, Ivetić & Devetaković 2016, and morphological parameters are the most widely used attributes measured in seedling quality assessment (Thompson 1985, Mexal & Landis 1990). The use of morphological attributes to forecast post-planting survival and growth varies.…”

Section: Introductionmentioning

confidence: 99%

Forecasting the field performance of Austrian pine seedlings using morphological attributes

Ivetić¹,

Grossnickle²,

Škorić³

2017

iForest

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(2) , Mirko Škorić (1) This study examined whether the morphological attributes of Austrian pine (Pinus nigra ssp. nigra var. nigra Arnold) seedlings measured in the nursery could be used to forecast subsequent field performance over an extended time frame. Seedlings from three seed sources were produced in two types of containers and in bareroot seedbeds. These seedlings were measured for an array of morphological attributes (height, HT; root collar diameter, RCD; shoot height/diameter ratio, HD; shoot and root dry weight, SDW and RDW, respectively; shoot:root ratio, S:R; number of the first order lateral roots, FOLR; and Dickson quality index, DQI) and then planted at two sample plots with different soil depth. Seedling attributes were tested against field survival and growth in the first three years and growth in the twelfth year for their ability to forecast field performance. Correlations between morphological attributes and field performance were stronger for the plot with shallower soil, having potentially drier conditions. HT, HD, and S:R were the best attributes for forecasting seedling survival. HD was the most reliable attribute to forecast growth during the first three years after planting, defining the largest proportion of variation for growth (r 2 =0.36 to 0.86). Morphological attributes were better able to forecast field performance in the first three years at the shallow soil site, with FOLR the best single morphological variable. HT, DIA, and RDW were the best attributes to forecast growth during the first three years after planting on both sites. Morphological attributes were not able to forecast growth 12 years after planting.

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“…Yet, seedlings height is easier to measure, and it is widely used in operational forestry. While RCD is positively and significantly correlated with both survival and growth after seedlings planting at the field, seedlings height can have both, positive and negative effect on seedlings field survival and growth, as reviewed by Ivetić and Devetaković [50]. Their combination as the HD (height/RCD) ratio was the most reliable plant attribute to forecast Austrian pine seedlings field performance [4] and there is evidence that initial seedling height and RCD are equally related to the field performance [3].…”

Section: Discussionmentioning

confidence: 95%

Performance of Scots Pine Seedlings from Seeds Graded by Colour

Novikov

Соколов

Drapalyuk

et al. 2019

Forests

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Research Highlights: One of the ways to improve the quality of a seedlot used in the forest nursery is the grading of seed by colour. Background and Objectives: The study is intended for forest’s engineers and owners because it offers an alternative solution for forest seeds improvement before sowing. The success of forest establishment program mainly depends on the quality of Forest Reproductive Material. At this time usual practices during the seed processing is seed grading on size. This causes a lot of controversy about the possible reduction of genetic diversity through directional selection. Materials and Methods: Aiming to study the effect of seed coat colour on seedling performance, a one-year old container seedlings of Pinus sylvestris L. were planted at the post-fire site. Seedlings were produced from three fractions, previously graded in the visible wavelength range on a standard optical separator, plus control obtained without separation by colour. Results: Seedlings from different seed fractions performed differently in the first growing season after planting on the field. Seedlings from light seed fraction grow better in height, but those from dark seed fraction resulted with the highest survival rate. Light-dark seeds, which constitute the largest group in the initial sample by absolute weight, resulted with seedlings of the lowest growth rates and survival. The good results showed by seedlings from the control, for both growth rates and survival, indicate the weak effect of seed colour grading on seedlings field performance, but also the need for the more comprehensive studies in the future.

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Reforestation challenges in Southeast Europe facing climate change

Cited by 30 publications

References 210 publications

Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage

Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage

Forecasting the field performance of Austrian pine seedlings using morphological attributes

Performance of Scots Pine Seedlings from Seeds Graded by Colour

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