Data set for "Landscape-variability of the carbon balance across managed boreal forests"

This data set is a compilation of biometric- and chamber-based annual CO2 flux estimates obtained during the period 2016–2018. Data were collected in 50 main forest stands within the Krycklan Catchment Study (KCS, https://www.slu.se/Krycklan), a multi-scale long-term monitored boreal catchment spanning 68 km2 in northern Sweden. Seven additional old forest stands were also included with the aim to reconcile our CO2 flux estimates for the old age class. Selected forest stands encompassed different landscape attributes: 1) soil type (i.e., sediment and till), 2) dominant tree species (i.e., pine and spruce), and 3) stand age class (i.e., initiation, young, middle-aged, mature, and old stands). Annual CO2 fluxes included are the following: net ecosystem production (NEP), net primary production (NPP), net primary production of trees (NPPt), net primary production of understory (NPPu) as well as total heterotrophic respiration (RH) and its soil and dead wood components (RHs and RHdw, respectively). All component CO2 fluxes are presented as positive terms, whereas positive and negative NEP refers to net C sink and source, respectively. It also includes a set of potential abiotic and biotic drivers controlling NEP and its component fluxes at the landscape-scale. This data set is composed of three Microsoft Excel worksheets: readme, metadata, and data. More details can be found in Peichl et al. (2022) Landscape-variability of the carbon balance across managed boreal forests. Global Change Biology, 00, 1–14. https://doi.org/10.1111/gcb.16534. Contact information: Professor Matthias Peichl ([e-mail]) Ph.D. Eduardo Martínez García ([e-mail], [e-mail]) Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd 17, SE-901 83, Umeå, Sweden

本数据集汇编了2016—2018年间基于生物计量法与箱式法获取的年度二氧化碳（CO₂）通量估算结果。数据采集于瑞典北部面积68平方千米的多尺度长期监测寒带流域——克里克兰流域研究站（Krycklan Catchment Study, KCS, https://www.slu.se/Krycklan）内的50处主要林分，另纳入7处老龄林分，旨在校正老龄林组的CO₂通量估算结果。

所选林分涵盖三类不同的景观属性：1）土壤类型（沉积物与耕作土）；2）优势树种（松与云杉）；3）林分年龄组（起始阶段、幼龄、中龄、成熟及老龄林分）。

本数据集涵盖的年度CO₂通量包括：生态系统净生产（net ecosystem production, NEP）、净初级生产（net primary production, NPP）、树木净初级生产（NPPt）、林下植被净初级生产（NPPu），以及总异养呼吸（total heterotrophic respiration, R_H）及其土壤组分（R_Hs）与枯木组分（R_Hdw）。所有组分的CO₂通量均以正值表征，而NEP的正负值分别对应碳汇与碳源。

数据集还包含一系列控制景观尺度下NEP及其组分通量的潜在非生物与生物驱动因子。

本数据集由三个Microsoft Excel工作表构成：readme、metadata与data。更多详细信息可参见Peichl等人（2022）发表于《全球变化生物学（Global Change Biology）》的论文《Landscape-variability of the carbon balance across managed boreal forests》，该文刊载于该刊00卷，1–14页，DOI链接：https://doi.org/10.1111/gcb.16534。

联系方式：马蒂亚斯·佩奇教授（[e-mail]）、爱德华多·马丁内斯·加西亚博士（[e-mail], [e-mail]），瑞典农业科学大学（Swedish University of Agricultural Sciences, SLU）森林生态与管理系，地址：Skogsmarksgränd 17, SE-901 83 于默奥，瑞典。