We conducted a systematic meta-analysis of soil bulk, mineral-associated, and particulate organic carbon (SOC, MAOC, and POC) responses to global environmental changes using two databases, the Web of Science Core Collection and the ProQuest Agricultural and Environmental Science Database. Search terms used Boolean combinations of SOC terms and global change terms to target studies that employed both a global change experiment and SOC fractionation. Studies were limited to those in English. We considered nitrogen (N) fertilization, warming, elevated carbon dioxide (CO2), increased precipitation, and drought as global environmental changes. Studies that addressed multiple global change factors were retrieved from searches for individual global change factors. We included any soil depth, study environment (greenhouse, field, laboratory), and land cover type (cropland, grasslands, forests) to maximize the amount of data. We acknowledge that N fertilization is often integral to cropland management. However, we refer to N fertilization as a global change also in croplands since we evaluate SOC pool responses with and without N fertilization, such that the premise is the same, regardless of the system. With this search criteria, we retrieved 3,378 studies, which we then filtered in two ways. First, we analyzed abstracts of all studies and kept those that met the following criteria: (1) they were primary literature (not reviews, meta-analyses, or book chapters), (2) they appeared to measure SOC fractions that were physically separated as, or could be combined to, MAOC and POC, as explained below, (3) they measured the response of POC and/or MAOC and SOC to a global change factor with a control that was not treated with that global change factor, and (4) they were not duplicate studies. Following this initial study filtering we were left with 168 total studies which included data for 216 individual global change experiments (since some studies addressed multiple global change factors).
Following initial filtering of the abstracts, we downloaded full PDFs for all studies and performed a second filtering based on whether they met our quality criteria and MAOC and POC definitions, as follows. To be included in this study, SOC, MAOC, and/or POC needed to be measured for at least three replicates, to provide quality and robustness to our dataset. Soil had to be sieved to 2 mm or less and dispersed using either sonication, sodium hexametaphosphate, or shaking with glass beads such that aggregates would be adequately broken down. To be considered MAOC, the dispersed soil fraction had to be smaller than 50-63 μm, if separated by size, or heavier than 1.6-1.85 g cm-3, if separated by density. POC was defined as the complement to MAOC, such that dispersed soil fractions larger than 50-63 μm and lighter than 1.6-1.85 g cm-3 were considered POC. For more complex fractionations that still employed cutoffs for size and density defined above, fractions were summed to total MAOC and POC pools based on the above definitions. Heavy, coarse SOC fractions (i.e. greater than 1.6 g cm-3 and greater than 50-63 microm; typically less than 10% of total SOC) were added to the POC pool, due to their relatively fast turnover times that suggest lack of stabilization via mineral association.
We extracted data from tables using Tabula software (https://tabula.technology/) or from figures using the metaDigitize package in R. If crucial data were missing, we contacted authors and if no response was provided by May 2020 (after 2-3 attempts at contact) papers were removed from the analysis. If error type (standard deviation versus standard error) was not presented with the data, and the author did not respond, we assumed error type to be standard error, for more conservative error estimates. Following the second filtering, we were left with a final count of 605 observations from 98 total studies across the world ranging in publication years from 1994 to 2019, with 428 observations and 52 studies focusing on N fertilization, 42 observations and 15 studies on warming, 42 observations and 24 studies on elevated CO2, 18 observations and 5 studies on increased precipitation, and 57 observations and 17 studies that addressed multiple global change factors. For these final studies, we extracted data on soil organic matter C (SOC, MAOC, and POC; g C kg soil-1), global change factors (years under factor, level of factor, etc.), and environmental variables (soil type and depth, plant biomass, climate, etc.). Some data of interest, notably data for microbial activity and biomass, were not reported frequently enough to extract. Where only total soil C was reported and soil pH was below 7, we assumed inorganic carbon was negligible, and thus recorded total soil C as SOC. Two studies with soil pH above 7 did not clearly indicate separation of inorganic and organic C but these were not influential in our study, according to the sensitivity analysis. We only included reported fraction data and did not calculate fractions by difference (e.g. SOC-POC = MAOC), as this could produce errors due to incomplete or over-recovery during fractionation. Using only reported data led to different samples sizes for SOC, MAOC, and POC.
Data sources:
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