Managing Forests for Carbon in the Specter of Climate Change

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 1726

Special Issue Editors


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Guest Editor
Ecosystem Function and Health, USDA Forest Service Pacific Southwest Research Station, 3644 Avtech Parkway, Redding, CA 96002-9241, USA
Interests: ecosystem carbon recovery; carbon pools; forest restoration; forest management; forest stand dynamics

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Guest Editor
Ecosystems Northwest, Mount Shasta, CA 96067, USA
Interests: forest ecosystems; detrital carbon; soil carbon cycling; soil CO2 efflux; root respiration

Special Issue Information

Dear Colleagues,

Forest ecosystems are the largest terrestrial C sink on earth and have great potential to reverse increase of CO2. According to the sixth report of International Panel on Climate Change, CO2 is the main greenhouse gas released to atmosphere by human activities that is now warming the earth surface to a critical level. Evidence suggests that managing forests for C is among the most effective strategies for climate change mitigation. Although studies have shown that C sequestration capacity varies with site quality, species, soil type, climate, disturbances, and land-use history, appropriate management treatments can also significantly increase C uptake and storage. In addition, C partitioning varies among forest components and these carbon pools change during stand developmental stages. How accurate are we able to describe C uptake and storage in forests?   In this special issue, we invite you to submit your work on comparing and contrasting carbon sequestration potentials in managed plantations and/or natural stands. These management treatments can be, (but need not be limited to) planting stocks, genotype selection, site preparation, vegetation control, nutrient management, thinning, and so on. In addition, due to large variation among the ways of measurements, method comparison is also encouraged especially the assessments of the accuracy and our ability to close the budgets of forest C.  Under these contents, we welcome any manuscripts as an experimental report, meta-analyses, reviews, or modeling analyses.

Dr. Jianwei Zhang
Dr. Kim Mattson
Guest Editors

Manuscript Submission Information

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Keywords

  • carbon budget
  • carbon partitioning
  • climate change
  • detrital carbon
  • disturbance
  • forest management
  • forest type
  • silvicultural treatments
  • soil carbon
  • understory vegetation
  • woody debris

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Published Papers (1 paper)

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Research

14 pages, 3357 KiB  
Article
Modeling the Dominant Height of Larix principis-rupprechtii in Northern China—A Study for Guandi Mountain, Shanxi Province
by Yunxiang Zhang, Xiao Zhou, Jinping Guo, Ram P. Sharma, Lei Zhang and Huoyan Zhou
Forests 2022, 13(10), 1592; https://doi.org/10.3390/f13101592 - 29 Sep 2022
Viewed by 1212
Abstract
An accurate estimate of the site index is essential for informing decision-making in forestry. In this study, we developed site index (SI) models using stem analysis data to estimate the site index and the dominant height growth for Larix gmelinii var. principis-rupprechtii in [...] Read more.
An accurate estimate of the site index is essential for informing decision-making in forestry. In this study, we developed site index (SI) models using stem analysis data to estimate the site index and the dominant height growth for Larix gmelinii var. principis-rupprechtii in northern China. The data included 5122 height–age pairs from 75 dominant trees in 29 temporary sample plots (TSPs). Nine commonly used growth functions were parameterized using the modeling method, which accounts for heterogeneous variance and autocorrelation in the time-series data and introduces sample plot-level random effects in the model. The results show that the Duplat and Tran-Ha I model with random effects described the largest proportion of the dominant height variation. This model accurately evaluated the site quality and predicted the dominant tree height growth in natural Larix forests in the Guandi Mountain region. As an important supplement in improving methods for site quality evaluation, the model may serve as a fundamental tool in the scientific management of larch forests. The research results can inform an accurate evaluation of the site quality and predict the growth of the dominant height in a larch forest in the Guandi Mountain forest area as well as provide a theoretical basis for forest site quality evaluation at similar sites. Full article
(This article belongs to the Special Issue Managing Forests for Carbon in the Specter of Climate Change)
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