Spatiotemporal variations in productivity and water use efficiency across a temperate forest landscape of Northeast China

Abstract:
BackgroundForests are increasingly valued for non-timber ecosystem services in place of conventional wood fiber production. Biomass carbon sequestration is one of the key ecosystem services forests are relied upon for mitigating global climate change. However, planning for large-scale tree planting and managing established forest stands for carbon sequestration require careful consideration of the gain in biomass production and tradeoff for other regulatory services. How a tradeoff between forest production and conservation of water resources is shaped by the condition of forest stand and environmental factors remains a question of broad interest in sustainable forest ecosystem management.MethodsWe studied the spatiotemporal patterns of net primary productivity (NPP), evapotranspiration (ET), and water use efficiency (WUE), and their relationships with local climatic and forest stand factors over a temperate forest landscape in Changbai Mountain, Northeast China. The time series of spatial data on NPP and ET were extracted from the global remote sensing datasets for the MOD16A3 and MOD17A3 products for the period 2000–2014. The time series of spatial patterns of annual precipitation and annual mean temperature were obtained as grid maps for regional meteorological variables. Stand patches were categorized into the types of conifers, broadleaves, and mixed-wood, as well as age-classes of young, mid-age, near mature, mature, and old-growth stands, and by establishment into natural and planted. Information on stands and selective site variables were compiled from the Forest Inventory Datasets of China. Analyses were performed with Arc-GIS.ResultsOver the study period of 2000–2014, the landscape-level annual NPP varied between 311.7 and 573.6 gC∙m−\u20092∙a−\u20091, ET between 559.9 and 603.0\u2009mm∙a−\u20091, and WUE between 0.54 and 1.01 gC∙m−\u20092∙mm−\u20091. Across the forest landscape, the mean annual NPP varied between 205.0 and 639.4 gC∙m−\u20092∙a−\u20091, ET between 441.5 and 784.0\u2009mm∙a−\u20091, and WUE in the range of 0.46–1.10 gC∙m−\u20092∙mm−\u20091. The spatial variations in NPP, ET, and WUE were commonly attributable to forest type, stand age class and density, establishment mode, and temperature variables, with some effects of other selective factors on ET and WUE. The three forest types were significantly (p\u2009<\u2009\xa00.05) differentiated in the mean annual NPP, ET, and WUE: the coniferous forests were highest in NPP (505.3\u2009±\u20091.4 gC∙m−\u20092∙a−\u20091; n\u2009=\u20091041) and WUE (0.872\u2009±\u20090.004 gC∙m−\u20092∙mm−\u20091; n\u2009=\u20091041), and lowest in ET (584.1\u2009±\u20091.6\u2009mm∙a−\u20091; n\u2009=\u20091041), followed by the mixed-wood forests (NPP: 500.5\u2009±\u20090.8 gC∙m−\u20092∙a−\u20091; WUE: 0.856\u2009±\u20090.02 gC∙m−\u20092∙mm−\u20091; ET: 589.3\u2009±\u20090.9\u2009mm∙a−\u20091; n\u2009=\u20092156); whereas the broadleaved forests were lowest in NPP (491.6\u2009±\u20090.6 gC∙m−\u20092∙a−\u20091; n\u2009=\u20094428) and WUE (0.832\u2009±\u20090.02 gC∙m−\u20092∙mm−\u20091; n\u2009=\u20094428), and highest in ET (594.7\u2009±\u20090.6\u2009mm∙a−\u20091; n\u2009=\u20094428). The mean annual NPP, ET and WUE increased with stand age typically in coniferous forests, and weakly in mixed-wood forests. The natural stands had significantly (p\u2009<\u2009\xa00.001) greater NPP and WUE than planted stands in conifers and mixed-woods.ConclusionsForest type and stand-age class are factors of key consideration in planning and managing forest landscape for achieving the compromise between regional carbon balance and water usage. Facilitating the establishment of coniferous trees and conservation of mature forest stands, and near-natural management of planted forests, can be favorable options for delivering ecosystem services of carbon sequestration and water conservation in temperate regions.
Author Listing: Xuhua Li;Tanzeel Javaid Aini Farooqi;Chao Jiang;Shirong Liu;Osbert Jianxin Sun
Volume: 6
Pages: 1-13
DOI: 10.1186/S40663-019-0179-X
Language: English
Journal: Forest Ecosystems

Forest Ecosystems

FOR ECOSYST

影响因子:3.8 是否综述期刊:否 是否OA:是 是否预警:不在预警名单内 发行时间:2014 ISSN:2095-6355 发刊频率:- 收录数据库:SCIE/Scopus收录/DOAJ开放期刊 出版国家/地区:United Kingdom 出版社:Springer Singapore

期刊介绍

Forest Ecosystems is an open access, peer-reviewed journal publishing scientific communications from any discipline that can provide interesting contributions about the structure and dynamics of "natural" and "domesticated" forest ecosystems, and their services to people. The journal welcomes innovative science as well as application oriented work that will enhance understanding of woody plant communities. Very specific studies are welcome if they are part of a thematic series that provides some holistic perspective that is of general interest.

森林生态系统是一种开放获取的,经过同行评审的期刊,出版任何学科的科学传播,可以为 “自然” 和 “驯化” 森林生态系统的结构和动态及其对人们的服务提供有趣的贡献。该杂志欢迎创新科学以及面向应用的工作,这些工作将增进对木本植物群落的了解。非常具体的研究是受欢迎的,如果它们是一个主题系列的一部分,提供了一些普遍感兴趣的整体观点。

年发文量 71
国人发稿量 41
国人发文占比 57.75%
自引率 2.6%
平均录取率 -
平均审稿周期 12 Weeks
版面费 -
偏重研究方向 Environmental Science-Nature and Landscape Conservation
期刊官网 https://www.springer.com/journal/40663
投稿链接 https://www.editorialmanager.com/FECS

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00% 99.11% 0.00% 1.59%

相关指数

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期刊预警不是论文评价,更不是否定预警期刊发表的每项成果。《国际期刊预警名单(试行)》旨在提醒科研人员审慎选择成果发表平台、提示出版机构强化期刊质量管理。

预警期刊的识别采用定性与定量相结合的方法。通过专家咨询确立分析维度及评价指标,而后基于指标客观数据产生具体名单。

具体而言,就是通过综合评判期刊载文量、作者国际化程度、拒稿率、论文处理费(APC)、期刊超越指数、自引率、撤稿信息等,找出那些具备风险特征、具有潜在质量问题的学术期刊。最后,依据各刊数据差异,将预警级别分为高、中、低三档,风险指数依次减弱。

《国际期刊预警名单(试行)》确定原则是客观、审慎、开放。期刊分区表团队期待与科研界、学术出版机构一起,夯实科学精神,打造气正风清的学术诚信环境!真诚欢迎各界就预警名单的分析维度、使用方案、值得关切的期刊等提出建议!

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2024年02月发布的2024版 不在预警名单中
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JCR分区 WOS分区等级:Q1区

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WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
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关于2019年中科院分区升级版(试行)

分区表升级版(试行)旨在解决期刊学科体系划分与学科发展以及融合趋势的不相容问题。由于学科交叉在当代科研活动的趋势愈发显著,学科体系构建容易引发争议。为了打破学科体系给期刊评价带来的桎梏,“升级版方案”首先构建了论文层级的主题体系,然后分别计算每篇论文在所属主题的影响力,最后汇总各期刊每篇论文分值,得到“期刊超越指数”,作为分区依据。

分区表升级版(试行)的优势:一是论文层级的主题体系既能体现学科交叉特点,又可以精准揭示期刊载文的多学科性;二是采用“期刊超越指数”替代影响因子指标,解决了影响因子数学性质缺陷对评价结果的干扰。整体而言,分区表升级版(试行)突破了期刊评价中学科体系构建、评价指标选择等瓶颈问题,能够更为全面地揭示学术期刊的影响力,为科研评价“去四唯”提供解决思路。相关研究成果经过国际同行的认可,已经发表在科学计量学领域国际重要期刊。

《2019年中国科学院文献情报中心期刊分区表升级版(试行)》首次将社会科学引文数据库(SSCI)期刊纳入到分区评估中。升级版分区表(试行)设置了包括自然科学和社会科学在内的18个大类学科。基础版和升级版(试行)将过渡共存三年时间,推测在此期间各大高校和科研院所仍可能会以基础版为考核参考标准。 提示:中科院分区官方微信公众号“fenqubiao”仅提供基础版数据查询,暂无升级版数据,请注意区分。

中科院分区 查看说明

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