Special Issue "Forest and Climate Change Adaptation"

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Ecology and Management".

Deadline for manuscript submissions: 30 November 2023 | Viewed by 692

Special Issue Editors

Graduate Program in Forestry, Universidade Federal do Parana, Curitiba, Brazil
Interests: forest management; forest inventory; statistics; programming languages; modeling
Graduate Program in Forestry, Universidade Federal do Parana, Curitiba, Brazil
Interests: lidar remote sensing; digital aerial photogrammetry; tropical and forest plantations; forest inventory and spatial analysis
Special Issues, Collections and Topics in MDPI journals
Graduate Program in Forestry, Universidade Federal do Parana, Curitiba, Brazil
Interests: forest management; forest inventory; carbon; carbon market; climate change
Dr. Sheri Andrews-Key
E-Mail Website
Guest Editor
Innovative Climate Strategies, Saskatoon, SK, Canada
Interests: climate change

Special Issue Information

Dear Colleagues,

This Special Issue includes contributions to the theme: “Forest and Climate Change Adaptation”. Research articles may focus on any aspect of the theme, including: i) methods to assess forest carbon stocks and dynamics; ii) climate change and carbon markets: challenges and opportunities for forest development; iii) climate vulnerability and adaptation; and iv) the components, role, and status of forest carbon projects. These topics were discussed in the Webinar, “Forest and Climate Change Adaptation” (21 March 2023), sponsored by the University of British Columbia and the Graduate Program in Forestry at the Federal University of Paraná, conducted by Prof. Dr. Carlos Roberto Sanquetta, Prof. Dr. Ana Paula Dalla Corte, Prof. Dr. Sheri Andrews-Key and Prof. Dr. Trevor Gareth Jones.

We would like to receive new insights on the proposed topics. All researchers are encouraged to participate in this Special Issue, not only the participants of the Webinar.

Dr. Alexandre Behling
Dr. Ana Paula Dalla Corte
Dr. Carlos Roberto Sanquetta
Dr. Sheri Andrews-Key
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

  • forest Inventory
  • remote sensing
  • LIDAR
  • modeling
  • biomass
  • carbon evaluation
  • carbon market
  • carbon projects
  • climate change

Published Papers (1 paper)

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Research

Article
Divergent Responses of NPP to Climate Factors among Forest Types at Interannual and Inter-Monthly Scales: An Empirical Study on Four Typical Forest Types in Subtropical China
Forests 2023, 14(7), 1474; https://doi.org/10.3390/f14071474 - 18 Jul 2023
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Abstract
Identifying the main climatic controls of productivity differences in different forest ecosystems is beneficial for revealing the patterns of carbon cycle changes in terrestrial ecosystems. Moreover, exploring the differences in their productivity responses to temperature and precipitation at interannual and inter-monthly scales is [...] Read more.
Identifying the main climatic controls of productivity differences in different forest ecosystems is beneficial for revealing the patterns of carbon cycle changes in terrestrial ecosystems. Moreover, exploring the differences in their productivity responses to temperature and precipitation at interannual and inter-monthly scales is conducive to identifying the mechanisms of carbon cycle changes in forest ecosystems, which can enhance the study of the forest ecosystem carbon cycle. In addition, the effect of climate factor changes on the net primary productivity (NPP) of typical forest types in subtropical areas remains unclear. Here, we simulated the dynamic changes in the NPP of four typical forest types (evergreen needleleaf forest (ENF), evergreen broadleaf forest (EBF), bamboo forest (BF), and evergreen needleleaf–broadleaf mixed forest (ENBMF)) in the Poyang Lake Basin from 1970 to 2021 using the Biome-BGC model where its parameters were adjusted according to the ecophysiological characteristics of forest types in this study. Then, the correlation between the NPP of the four typical forest types and climate factors was examined at interannual and inter-monthly scales; the response of the NPP of four typical forest types to future temperature and precipitation changes was explored. The results revealed that NPP showed a fluctuating downward trend after 2000 in ENF, EBF, and ENBMF. The NPP of the ENF was primarily driven by precipitation at the interannual and inter-monthly levels (p < 0.01). The impact of precipitation and accumulated temperature (AT) on NPP of EBF is not significant interannually; the NPP of BF demonstrated a minor correlation with AT and no significant correlation with precipitation. However, the NPP variation of EBF and BF was significantly affected by the temperature at the inter-monthly scale (p < 0.01), with R2 of 0.85 and 0.92, respectively. At the interannual scale, the NPP of ENBMF was mainly driven by precipitation (p < 0.01); at the inter-monthly scale, it was driven by precipitation (p < 0.01) and AT (p < 0.01), with R2 of 0.74 and 0.62, respectively. Under designed climate scenarios, the precipitation changes will have a greater impact on NPP of ENF; the NPP changes in the EBF, BF, and ENBMF will be mainly controlled by temperature increase, and only a 10% change in precipitation leads to its smaller impact on their NPP changes. Full article
(This article belongs to the Special Issue Forest and Climate Change Adaptation)
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