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Forests
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Impacts of Climate Change on Forest by Using Growth Modeling
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Impacts of Climate Change on Forest by Using Growth Modeling

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 5 July 2024 | Viewed by 5541

Special Issue Editors

Prof. Dr. Jianfeng Zhang

E-Mail Website
Guest Editor
Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
Interests: silviculture; saline soil amelioration; non-point source pollution ecological control; ecology of human settlement
Dr. Honggang Sun

E-Mail Website
Guest Editor
Center of Silviculture, Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
Interests: forest growth and yield; stand density effect; mixed-species forest management
Dr. Rongjia Wang

E-Mail Website
Guest Editor
College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China
Interests: forest ecology

Special Issue Information

Dear Colleagues,

Climate change is a global issue. Forests are the most important carbon pools in terrestrial ecosystems, accounting for about 30% of the total land area, and are of great significance for alleviating the greenhouse effect. Thus, it is essential that we study the impacts of climate change on forests through growth modeling so that methods of implementing quantitative solutions to forest growth are carried out. This Special Issue will present the most recent research findings in the field of forest growth based on modeling. It aims to provide selected contributions on advances in the methodological innovation of modeling, forest growth and changing environmental factors, forest management to improve forest stability, resistance and resilience, forest structure optimization to enhance ecological services, etc.

Potential topics include, but are not limited to:

  • New methods of modeling;
  • Forest adaption under climate change;
  • Quantitative solution of forest growth process;
  • Ecological function differing with changing environmental factors;
  • Forest management to cope with climate change.

Prof. Dr. Jianfeng Zhang
Dr. Honggang Sun
Dr. Rongjia Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate change
  • forest growth
  • forest management
  • growth model
  • environmental factors
  • ecological function

Published Papers (4 papers)

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Research

20 pages, 5138 KiB  
Article
Tree Ring Width Responses of Pinus densiflora and Robinia pseudoacacia to Climate Variation in the Mount Tai Area of Northern China
by Yuan He, Qinghui Yu, Guifang Wang, Ming Hao, Simin Fan, Dingmeng Hu, Zongtai Li and Peng Gao
Forests 2023, 14(10), 2087; https://doi.org/10.3390/f14102087 - 18 Oct 2023
Viewed by 868
Abstract
To effectively combat climate change and put plans in place to enhance the health and quality of forests, research on the connections between long-term climate change and tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in [...] Read more.
To effectively combat climate change and put plans in place to enhance the health and quality of forests, research on the connections between long-term climate change and tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. and Robinia pseudoacacia L. in the Mount Tai area were studied. Specifically, their tree ring width characteristics were investigated according to the principles of dendrochronology, based on the analysis of multiyear climate data (1972–2022). The results showed that (1) the variation in tree ring width of Pinus densiflora Siebold & Zucc. generally decreased. Its basal area increment sequence presented a “growth-decline” change process. The trend for Robinia pseudoacacia L. was stability at first and then a reduction. Its basal area increment sequence presented a “growth-stabilization” change process. (2) The standard chronologies of both tree species contained more environmental information than the residual chronologies, rendering the former more appropriate for analysis. (3) The tree ring width of Pinus densiflora Siebold & Zucc. was positively correlated with the mean maximum temperature in February, March, and July, the mean temperature in May, and the mean precipitation in December of the previous year and June of the current year. The tree ring width of Robinia pseudoacacia L. was positively correlated with the mean and maximum temperatures in October of the previous year, the mean maximum temperature in May of the current year, and the mean temperature in July of the current year. This variable was positively correlated with the mean precipitation in November of the previous year and July of the current year but negatively correlated with the mean minimum temperature in November of the previous year and the mean temperature in December of the current year. (4) During 1987–1988, 1994–1995, 2005–2006, and 2018–2019, the tree ring width was restricted by rising temperatures and low precipitation, with variations in tree ring width observed in various hydrological periods. (5) The moisture index, followed by the warmth index, precipitation and temperature, was the primary climate factor determining the tree ring width in both tree species. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Forest by Using Growth Modeling)
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14 pages, 5599 KiB  
Article
Relationships between Climate Variability and Radial Growth of Larix potaninii at the Upper Altitudinal Limit in Central Hengduan Mountain, Southwestern China
by Haitao Yue, Jianing Li, Siyu Xie, Hai Chen, Kun Tian, Mei Sun, Dacai Zhang and Yun Zhang
Forests 2023, 14(9), 1790; https://doi.org/10.3390/f14091790 - 01 Sep 2023
Viewed by 686
Abstract
Improved understanding of the responses of stem radial growth to climates is necessary for modeling and predicting the response of forest ecosystems to future climate change. We used dendrochronological methods to study climate effects on the radial growth of a subalpine deciduous conifer, [...] Read more.
Improved understanding of the responses of stem radial growth to climates is necessary for modeling and predicting the response of forest ecosystems to future climate change. We used dendrochronological methods to study climate effects on the radial growth of a subalpine deciduous conifer, Larix potaninii. Tree-ring residual chronologies were developed for five sites at the upper distributional limits in the Central Hengduan Mountains, Southwestern China. Redundancy analysis and response function were used to compare inter-annual variability in growth sensitivity among the chronologies and to identity key climatic factors controlling tree radial growth. The results showed that both precipitation and temperature influenced tree growth, and response patterns were consistent for five chronologies. During the current year’s early growing season (Tmean in May and Tmax in June), temperature positively affected the radial growth of L. potaninii, while September Tmin and October precipitation in the previous year and May and June precipitation in the current year all had negative impacts on its radial growth. L. potaninii growth appeared to be mainly limited by photothermal conditions in May and June. In the context of increasing CO2 concentrations accompanied with warmer temperatures, future climate change would likely stimulate the radial growth of L. potaninii in Central Hengduan Mountain. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Forest by Using Growth Modeling)
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20 pages, 7328 KiB  
Article
Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests
by Mahmoud Bayat, Thomas Knoke, Sahar Heidari, Seyedeh Kosar Hamidi, Harold Burkhart and Abolfazl Jaafari
Forests 2022, 13(11), 1816; https://doi.org/10.3390/f13111816 - 31 Oct 2022
Cited by 6 | Viewed by 1803
Abstract
Climate change has significant effects on forest ecosystems around the world. Since tree diameter increment determines forest volume increment and ultimately forest production, an accurate estimate of this variable under future climate change is of great importance for sustainable forest management. In this [...] Read more.
Climate change has significant effects on forest ecosystems around the world. Since tree diameter increment determines forest volume increment and ultimately forest production, an accurate estimate of this variable under future climate change is of great importance for sustainable forest management. In this study, we modeled tree diameter increment under the effects of current and expected future climate change, using multilayer perceptron (MLP) artificial neural networks and linear mixed-effect model in two sites of the Hyrcanian Forest, northern Iran. Using 573 monitoring fixed-area (0.1 ha) plots, we measured and calculated biotic and abiotic factors (i.e., diameter at breast height (DBH), basal area in the largest trees (BAL), basal area (BA), elevation, aspect, slope, precipitation, and temperature). We investigated the effect of climate change in the year 2070 under two reference scenarios; RCP 4.5 (an intermediate scenario) and RCP 8.5 (an extreme scenario) due to the uncertainty caused by the general circulation models. According to the scenarios of climate change, the amount of annual precipitation and temperature during the study period will increase by 12.18 mm and 1.77 °C, respectively. Further, the results showed that the impact of predicted climate change was not very noticeable and the growth at the end of the period decreased by only about 7% annually. The effect of precipitation and temperature on the growth rate, in fact, neutralize each other, and therefore, the growth rate does not change significantly at the end of the period compared to the beginning. Based on the models’ predictions, the MLP model performed better compared to the linear mixed-effect model in predicting tree diameter increment. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Forest by Using Growth Modeling)
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14 pages, 3537 KiB  
Article
Negative Density Restricts the Coexistence and Spatial Distribution of Dominant Species in Subtropical Evergreen Broad-Leaved Forests in China
by Jiejie Jiao, Chuping Wu, Bo Jiang, Zhigao Wang, Weigao Yuan, Jinru Zhu, Tingting Li, Shaozong Yang and Liangjin Yao
Forests 2022, 13(8), 1227; https://doi.org/10.3390/f13081227 - 02 Aug 2022
Cited by 5 | Viewed by 1438
Abstract
Negative densification affects the spatial distribution of species in secondary evergreen broad-leaved forests and is a key mechanism governing species coexistence. We investigated the effects of habitat heterogeneity and density on the spatial distribution of populations of dominant woody species in a secondary [...] Read more.
Negative densification affects the spatial distribution of species in secondary evergreen broad-leaved forests and is a key mechanism governing species coexistence. We investigated the effects of habitat heterogeneity and density on the spatial distribution of populations of dominant woody species in a secondary evergreen broad-leaved forest in Wuchaoshan using spatial univariate point pattern analyses. This 6 ha forest dynamic monitoring sample area in Hangzhou, China is a typical secondary subtropical evergreen broad-leaved forest. We found (1) a strong effect of habitat heterogeneity that led to the spatial aggregation of dominant species in the plot. Habitat heterogeneity had a strong impact on mature individuals at different life history stages and of different species on a large scale. (2) Negative density dependence (NDD) generally affected spatial distributions of most dominant species and decreased in magnitude with age class. Therefore, different species of subtropical evergreen broad-leaved forests in China have formed unique spatial structures due to their habitat preferences but are generally subjected to density-dependent effects. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Forest by Using Growth Modeling)
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