Jakub Hejtmánek, Jan Stejskal, Daniel Provazník, Jaroslav Čepl
{"title":"Understanding the role of ecotypic factors in the early growth of Pinus sylvestris L.","authors":"Jakub Hejtmánek, Jan Stejskal, Daniel Provazník, Jaroslav Čepl","doi":"10.17221/102/2023-jfs","DOIUrl":"https://doi.org/10.17221/102/2023-jfs","url":null,"abstract":"","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"21 5","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138952752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alina Nasibullina, Marieke van der Maaten-Theunissen, E. van der Maaten, Holger Fischer, Sven Wagner
{"title":"Thinning effects on growth and occurrence of rotting in aspen stands","authors":"Alina Nasibullina, Marieke van der Maaten-Theunissen, E. van der Maaten, Holger Fischer, Sven Wagner","doi":"10.17221/103/2023-jfs","DOIUrl":"https://doi.org/10.17221/103/2023-jfs","url":null,"abstract":"","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"23 3","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Douglas fir merchantable stem volume model in the conditions of the Czech Republic","authors":"Radoslav Hlavica, Zdeněk Adamec","doi":"10.17221/92/2023-jfs","DOIUrl":"https://doi.org/10.17221/92/2023-jfs","url":null,"abstract":"","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"254 5","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139005924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Szabó, K. Rédei, T. Ábri, E. Kovács, Lajos Juhász
{"title":"Stand structure of a juvenile Paulownia Shan Tong plantation grown in the temperate dry climate zone in Hungary - A case study","authors":"F. Szabó, K. Rédei, T. Ábri, E. Kovács, Lajos Juhász","doi":"10.17221/90/2023-jfs","DOIUrl":"https://doi.org/10.17221/90/2023-jfs","url":null,"abstract":"","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"17 3","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138590986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vladimir Tanovski, B. Matović, Mihajlo Risteski, Pande Trajkov
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{"title":"Modelling the tree height-diameter relationship of Macedonian pine (Pinus peuce Gris.) forests in North Macedonia","authors":"Vladimir Tanovski, B. Matović, Mihajlo Risteski, Pande Trajkov","doi":"10.17221/68/2023-jfs","DOIUrl":"https://doi.org/10.17221/68/2023-jfs","url":null,"abstract":".","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"38 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pavel Švagr, Josef Gallo, J. Vítámvás, V. Podrázský, M. Balas
{"title":"Potential of Morus nigra in Central Europe focused on micropropagation: A short review","authors":"Pavel Švagr, Josef Gallo, J. Vítámvás, V. Podrázský, M. Balas","doi":"10.17221/73/2023-jfs","DOIUrl":"https://doi.org/10.17221/73/2023-jfs","url":null,"abstract":"","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"61 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139254628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulating differences between forwarding short and normal-length timber","authors":"Simon Berg","doi":"10.17221/41/2023-jfs","DOIUrl":"https://doi.org/10.17221/41/2023-jfs","url":null,"abstract":"","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"205 ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pavel Brabec, Jakub Brichta, Zdeněk Vacek, Stanislav Vacek, Václav Šimůnek, Vojtěch Hájek
Mixed forests play a key role in terms of stability, production potential, and adaptation to climate change. In addition, the studied Norway spruce [Picea abies (L.) Karst.] and Scots pine (Pinus sylvestris L.) belong to the most economically important tree species in Europe. The objectives were to determine the effect of the species composition of these two tree genera on the production, structure, diversity, and growth of mixed stands at lower elevations in the Czech Republic. Based on dendroecological samples, research was also carried out on the influence of climatic factors and climate change on the radial growth of these trees of interest. Mixed forests showed higher timber production by 29.8% compared to spruce and pine monocultures. The production of mature stands ranged from 328 to 479 m3·ha–1. Spruce achieved higher radial growth, but its growth variability was higher than that of pine. Compared to precipitation, temperatures had a greater influence on the radial growth of both tree species, especially in the growing season. In terms of diversity, mixed stands achieved significantly higher structural differentiation and overall diversity compared to monospecific variants. Mixed stands can achieve higher production potential, diversity, and especially resistance to climatic extremes in the lowland regions of the Czech Republic. The differences between mixed stands and monocultures, i.e. the effect of tree species mixing, depend on the appropriate proportions of tree species and their spatial pattern.
{"title":"Potential of mixed Picea abies (L.) Karst. and Pinus sylvestris L. forests in lowland areas of Central Bohemia","authors":"Pavel Brabec, Jakub Brichta, Zdeněk Vacek, Stanislav Vacek, Václav Šimůnek, Vojtěch Hájek","doi":"10.17221/76/2023-jfs","DOIUrl":"https://doi.org/10.17221/76/2023-jfs","url":null,"abstract":"Mixed forests play a key role in terms of stability, production potential, and adaptation to climate change. In addition, the studied Norway spruce [<i>Picea abies</i> (L.) Karst.] and Scots pine (<i>Pinus sylvestris</i> L.) belong to the most economically important tree species in Europe. The objectives were to determine the effect of the species composition of these two tree genera on the production, structure, diversity, and growth of mixed stands at lower elevations in the Czech Republic. Based on dendroecological samples, research was also carried out on the influence of climatic factors and climate change on the radial growth of these trees of interest. Mixed forests showed higher timber production by 29.8% compared to spruce and pine monocultures. The production of mature stands ranged from 328 to 479 m<sup>3</sup>·ha<sup>–1</sup>. Spruce achieved higher radial growth, but its growth variability was higher than that of pine. Compared to precipitation, temperatures had a greater influence on the radial growth of both tree species, especially in the growing season. In terms of diversity, mixed stands achieved significantly higher structural differentiation and overall diversity compared to monospecific variants. Mixed stands can achieve higher production potential, diversity, and especially resistance to climatic extremes in the lowland regions of the Czech Republic. The differences between mixed stands and monocultures, i.e. the effect of tree species mixing, depend on the appropriate proportions of tree species and their spatial pattern.","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"4 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136348010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Rasoul Nazari Sendi, Iraj Hassanzad Navroodi, Aman Mohammad Kalteh
Tree height is one of the most important variables in describing forest stand structure. However, due to difficulty in height measurement, especially in dense and mountainous forests, the common approach is to invoke the height-diameter (H-D) models. The oriental beech (Fagus orientalis Lipsky) is one of the most important species of Hyrcanian forests, over the mid to high-altitudes (400–1 800 m a.s.l.), in northern Iran. In this study, the H-D relationship of beech trees was investigated separately for mid-altitude and high-altitude in Shafaroud forests of Guilan using 14 nonlinear H-D models and an artificial neural network model (ANN). To collect data, a systematic random sampling method within a 100 Ă 100 m regular randomized grid was applied. In total, 3 243 individual trees in 255 circular plots with 0.1 ha were measured. For comparing the results, performance criteria including root mean square error (RMSE), R2adj, Akaike's information criterion (AIC), and mean absolute error (MAE) were used. In high and mid altitudes, Meyer (1940) and Bates and Watts (1980) models had the best performance, while Watts (1983) model and Burkhart-Strub (1974) model had the worst performance in high-altitude and in mid-altitude, respectively. On the other hand, the ANN model had the best accuracy and performance in both sites. Since the performance of the ANN model is superior and consistent compared to the common nonlinear models, here it is preferred for both regions.
树高isÂ一ofÂ最重要的变量inÂ描述森林林分结构。然而，由于toÂ高度测量困难inÂ，特别是inÂ茂密的山地森林，常用的方法is toÂ调用高径(H-D)模型。东方山毛榉(Fagus orientalis Lipsky) isÂ是ofÂ海卡尼亚森林中最重要的一种ofÂ，位于toÂ高海拔地区中部(400-1 800 m a.s.l.)， inÂ伊朗北部。InÂ本研究分别利用14Â非线性H-DÂ模型和anÂ人工神经网络模型(ANN)研究了中海拔和高海拔inÂ桂兰沙木林的H-DÂ关系ofÂ。ToÂ采集数据，aÂ系统随机抽样方法在a 100 Ă—100 m范围内采用规则随机网格。InÂ共测量了3 243棵树in 255个0.1 ha的圆形样地。采用均方根误差(RMSE)、R2adj、赤池信息准则(AIC)和平均绝对误差(MAE)等性能标准对结果进行比较。InÂ高、中海拔，Meyer(1940)和Bates and Watts(1980)模型表现最好，Watts(1983)模型和Burkhart-Strub(1974)模型表现最差inÂ高海拔和inÂ中海拔。OnÂ另一方面，人工神经网络模型具有最好的精度和性能inÂ两个站点。由于性能ofÂ人工神经网络模型isÂ优于和一致toÂ与常见的非线性模型相比，这里it isÂ优先用于两个区域。
{"title":"Estimation of Fagus orientalis Lipsky height using nonlinear models in Hyrcanian forests, Iran","authors":"Mohammad Rasoul Nazari Sendi, Iraj Hassanzad Navroodi, Aman Mohammad Kalteh","doi":"10.17221/93/2022-jfs","DOIUrl":"https://doi.org/10.17221/93/2022-jfs","url":null,"abstract":"Tree height is one of the most important variables in describing forest stand structure. However, due to difficulty in height measurement, especially in dense and mountainous forests, the common approach is to invoke the height-diameter (H-D) models. The oriental beech (<i>Fagus orientalis</i> Lipsky) is one of the most important species of Hyrcanian forests, over the mid to high-altitudes (400–1 800 m a.s.l.), in northern Iran. In this study, the H-D relationship of beech trees was investigated separately for mid-altitude and high-altitude in Shafaroud forests of Guilan using 14 nonlinear H-D models and an artificial neural network model (ANN). To collect data, a systematic random sampling method within a 100 Ă 100 m regular randomized grid was applied. In total, 3 243 individual trees in 255 circular plots with 0.1 ha were measured. For comparing the results, performance criteria including root mean square error (<i>RMSE</i>), <i>R</i><sup>2</sup><i><sub>adj</sub></i>, Akaike's information criterion (<i>AIC</i>)<i>,</i> and mean absolute error (<i>MAE</i>) were used. In high and mid altitudes, Meyer (1940) and Bates and Watts (1980) models had the best performance, while Watts (1983) model and Burkhart-Strub (1974) model had the worst performance in high-altitude and in mid-altitude, respectively. On the other hand, the ANN model had the best accuracy and performance in both sites. Since the performance of the ANN model is superior and consistent compared to the common nonlinear models, here it is preferred for both regions.","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"144 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136018143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Land abandonment and the emergence of new forest areas create novel dynamics for forest ecosystems and landscapes. Modelling is often used to forecast tree species composition, age group distribution and spatial patterns in the future. The aim of this study was to develop three scenarios for changes in tree species composition, stand age distribution and spatial patterns of new forest areas and permanent forests using Latvia as a case study. We selected 19 study areas of the size 10 km Ă 10 km to sample the variety of forest cover patterns, tree species, and stand age. Using GIS tools, we developed three scenarios: baseline, commercial and conservation. Results showed that the conservation scenario resulted in the most even-aged group distribution. Scenarios predicted the increase of Picea abies area (reaching 29.3% in permanent forests and even 45.7% in new forests) and the reduction of Pinus sylvestris in most cases. Changes in the median patch area were the best indicator for evaluation of different scenarios with the largest patches of new forest areas for the conservation scenario (1.92 ±Â 1.23 ha). The existing structural and compositional integrity of sampled forest landscapes was best retained under the baseline and conservation scenarios, while the commercial scenario indicated more fragmented forest landscapes in the future.
{"title":"Three scenarios for tree species composition and stand age in new and permanent forest areas: A case study of Latvia","authors":"Zigmārs Rendenieks, Līga Liepa","doi":"10.17221/25/2023-jfs","DOIUrl":"https://doi.org/10.17221/25/2023-jfs","url":null,"abstract":"Land abandonment and the emergence of new forest areas create novel dynamics for forest ecosystems and landscapes. Modelling is often used to forecast tree species composition, age group distribution and spatial patterns in the future. The aim of this study was to develop three scenarios for changes in tree species composition, stand age distribution and spatial patterns of new forest areas and permanent forests using Latvia as a case study. We selected 19 study areas of the size 10 km Ă 10 km to sample the variety of forest cover patterns, tree species, and stand age. Using GIS tools, we developed three scenarios: baseline, commercial and conservation. Results showed that the conservation scenario resulted in the most even-aged group distribution. Scenarios predicted the increase of <i>Picea abies</i> area (reaching 29.3% in permanent forests and even 45.7% in new forests) and the reduction of <i>Pinus sylvestris</i> in most cases. Changes in the median patch area were the best indicator for evaluation of different scenarios with the largest patches of new forest areas for the conservation scenario (1.92 ±Â 1.23 ha). The existing structural and compositional integrity of sampled forest landscapes was best retained under the baseline and conservation scenarios, while the commercial scenario indicated more fragmented forest landscapes in the future.","PeriodicalId":16011,"journal":{"name":"Journal of forest science","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136018691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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