Carbon sequestration potential of plantation forests in New Zealand - no single tree species is universally best

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Carbon Balance and Management Pub Date : 2024-04-05 DOI:10.1186/s13021-024-00257-1
Serajis Salekin, Yvette L. Dickinson, Mark Bloomberg, Dean F. Meason
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Abstract

Background

Plantation forests are a nature-based solution to sequester atmospheric carbon and, therefore, mitigate anthropogenic climate change. The choice of tree species for afforestation is subject to debate within New Zealand. Two key issues are whether to use (1) exotic plantation species versus indigenous forest species and (2) fast growing short-rotation species versus slower growing species. In addition, there is a lack of scientific knowledge about the carbon sequestration capabilities of different plantation tree species, which hinders the choice of species for optimal carbon sequestration. We contribute to this discussion by simulating carbon sequestration of five plantation forest species, Pinus radiata, Pseudotsuga menziesii, Eucalyptus fastigata, Sequoia sempervirens and Podocarpus totara, across three sites and two silvicultural regimes by using the 3-PG an ecophysiological model.

Results

The model simulations showed that carbon sequestration potential varies among the species, sites and silvicultural regimes. Indigenous Podocarpus totara or exotic Sequoia sempervirens can provide plausible options for long-term carbon sequestration. In contrast, short term rapid carbon sequestration can be obtained by planting exotic Pinus radiata, Pseudotsuga menziesii and Eucalyptus fastigata.

Conclusion

No single species was universally better at sequestering carbon on all sites we tested. In general, the results of this study suggest a robust framework for ranking and testing candidate afforestation species with regard to carbon sequestration potential at a given site. Hence, this study could help towards more efficient decision-making for carbon forestry.

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新西兰人工林的碳螯合潜力--没有一种树种是万能的最佳树种
背景植树造林是一种基于自然的解决方案,可以固存大气中的碳,从而减缓人为气候变化。新西兰国内对植树造林的树种选择存在争议。两个关键问题是:(1) 使用外来的人工林树种还是本地的森林树种;(2) 使用生长速度快的短期树种还是生长速度慢的树种。此外,人们对不同人工林树种的固碳能力缺乏科学认识,这阻碍了人们选择最佳固碳树种。我们利用 3-PG 生态生理学模型模拟了五种人工林树种(黑松、红松、速生桉、红豆杉和荚果)在三个地点和两种造林制度下的碳封存情况,为这方面的讨论做出了贡献。结果模型模拟显示,碳封存潜力因树种、地点和造林制度而异。本土的荚果树或外来的红杉可为长期固碳提供合理的选择。与此相反,种植外来的欧洲赤松、红豆杉和速生桉则可实现短期快速固碳。总体而言,本研究的结果为在特定地点对候选造林树种的固碳潜力进行排序和测试提供了一个稳健的框架。因此,这项研究有助于提高碳汇林业决策的效率。
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来源期刊
Carbon Balance and Management
Carbon Balance and Management Environmental Science-Management, Monitoring, Policy and Law
CiteScore
7.60
自引率
0.00%
发文量
17
审稿时长
14 weeks
期刊介绍: Carbon Balance and Management is an open access, peer-reviewed online journal that encompasses all aspects of research aimed at developing a comprehensive policy relevant to the understanding of the global carbon cycle. The global carbon cycle involves important couplings between climate, atmospheric CO2 and the terrestrial and oceanic biospheres. The current transformation of the carbon cycle due to changes in climate and atmospheric composition is widely recognized as potentially dangerous for the biosphere and for the well-being of humankind, and therefore monitoring, understanding and predicting the evolution of the carbon cycle in the context of the whole biosphere (both terrestrial and marine) is a challenge to the scientific community. This demands interdisciplinary research and new approaches for studying geographical and temporal distributions of carbon pools and fluxes, control and feedback mechanisms of the carbon-climate system, points of intervention and windows of opportunity for managing the carbon-climate-human system. Carbon Balance and Management is a medium for researchers in the field to convey the results of their research across disciplinary boundaries. Through this dissemination of research, the journal aims to support the work of the Intergovernmental Panel for Climate Change (IPCC) and to provide governmental and non-governmental organizations with instantaneous access to continually emerging knowledge, including paradigm shifts and consensual views.
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