Department of Ecology and Evolutionary Biology, Biological Station, University of Michigan, Pellston, Michigan, 49769, USA.
Northern Institute of Applied Climate Science, Michigan Technological University, Houghton, Michigan, 49905, USA.
Ecol Appl. 2021 Sep;31(6):e02356. doi: 10.1002/eap.2356. Epub 2021 May 26.
There is growing need to quantify and communicate how land use and management activities influence soil organic carbon (SOC) at scales relevant to, and in the tangible control of landowners and forest managers. The continued proliferation of publications and growth of data sets, data synthesis and meta-analysis approaches allows the application of powerful tools to such questions at ever finer scales. In this analysis, we combined a literature review and effect-size meta-analysis with two large, independent, observational databases to assess how land use and management impact SOC stocks, primarily with regards to forest land uses. We performed this work for the (Great Lakes) U.S. Lake States, which comprise 6% of the land area, but 7% of the forest and 9% of the forest SOC in the United States, as the second in a series of ecoregional SOC assessments. Most importantly, our analysis indicates that natural factors, such as soil texture and parent material, exert more control over SOC stocks than land use or management. With that for context, our analysis also indicates which natural factors most influence management impacts on SOC storage. We report an overall trend of significantly diminished topsoil SOC stocks with harvesting, consistent across all three data sets, while also demonstrating how certain sites and soils diverge from this pattern, including some that show opposite trends. Impacts of fire grossly mirror those of harvesting, with declines near the top of the profile, but potential gains at depth and no net change when considering the whole profile. Land use changes showing significant SOC impacts are limited to reforestation on barren mining substrates (large and variable gains) and conversion of native forest to cultivation (losses). We describe patterns within the observational data that reveal the physical basis for preferential land use, e.g., cultivation of soils with the most favorable physical properties, and forest plantation establishment on the most marginal soils, and use these patterns to identify management opportunities and considerations. We also qualify our results with ratings of confidence, based on their degree of support across approaches, and offer concise, defensible tactics for adapting management operations to site-specific criteria and SOC vulnerability.
越来越需要量化和传达土地利用和管理活动如何在与土地所有者和森林管理者相关且可实际控制的规模上影响土壤有机碳 (SOC)。不断增加的出版物和数据集的增长,数据综合和荟萃分析方法使人们能够在越来越小的尺度上应用强大的工具来解决这些问题。在这项分析中,我们结合文献综述和效应量荟萃分析以及两个大型独立观测数据库,评估土地利用和管理如何影响 SOC 储量,主要是针对林地利用。我们在美国五大湖州(占美国土地面积的 6%,但占美国森林面积的 7%和森林 SOC 的 9%)进行了这项工作,这是一系列生态区域 SOC 评估中的第二项。最重要的是,我们的分析表明,自然因素(如土壤质地和母质)对 SOC 储量的控制作用大于土地利用或管理。在此背景下,我们的分析还表明哪些自然因素对 SOC 储存的管理影响影响最大。我们报告了一个总体趋势,即在所有三个数据集上,与收获相关的表土 SOC 储量显著减少,同时还展示了某些站点和土壤如何偏离这种模式,包括一些表现出相反趋势的站点和土壤。火灾的影响与收获非常相似,在剖面的顶部附近下降,但在考虑整个剖面时,在深度上有潜在的增加,没有净变化。显示出对 SOC 有重大影响的土地利用变化仅限于在贫瘠的采矿基质上重新造林(大量且可变的增加)和将原生林转换为种植(损失)。我们描述了观测数据中的模式,这些模式揭示了优先土地利用的物理基础,例如,对最有利物理特性的土壤进行耕作,以及在最边缘土壤上建立森林种植园,并利用这些模式来确定管理机会和考虑因素。我们还根据它们在不同方法中的支持程度对结果进行了置信度评级,并提供了简明、合理的策略,以根据特定地点的标准和 SOC 脆弱性调整管理操作。