Data from: Impacts of organic matter amendments on urban soil carbon and soil quality: A meta-analysis
Data files
Jun 05, 2024 version files 387.21 KB
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Application_Amount_Mg_per_ha_(1_or_0).xlsx
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Lat_and_Long_Spreadsheet_for_Urban_Amendments_V8_workbook.xlsx
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README.md
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Urban_Amendments_(Y_or_N)_sheet.xlsx
Abstract
Organic matter amendment application is an important avenue of beneficial waste diversion and is used to improve soil quality in agricultural and urban settings. In urban regions, amendments are used to support local food production, maintain vegetation for landscaping and recreational use, and reclaim disturbed soils. Urban regions generate large quantities of wasted organic resources for potential application aiding in creating a circular nutrient economy. There is a growing interest in understanding the effects of amendments such as compost, biosolids, and biochar on soil properties in agricultural settings. Gaps remain, however, in assessing their effects in urban land uses. We conducted a literature review to assess the effects of compost, biochar, and biosolids on soil carbon and soil quality of urban soils managed for gardening, landscaping, recreation, and reclamation. Application of organic matter amendments led to an average increase of 3.6 units of soil organic matter% (SOM%). Compost and biochar improved SOM% the most, by 3.1 and 6.5 units of SOM%, respectively. Biosolids resulted in the smallest increase in SOM% but had greater nutrient benefits than other amendments. Parameters related to chemical and physical soil quality improved with the application of amendments. Gaps in the literature remain, such as assessing urban gardens, soil to depths greater than 30 cm, and the persistence of SOM in amended soils. This meta-analysis proposes that organic matter amendments are a powerful means to improve soil quality in urban regions, provide vital cobenefits to surrounding communities, and increase soil carbon storage.
README: Organic Matter Impacts on Urban Soil Meta-Analysis
https://doi.org/10.5061/dryad.h70rxwdsm
Description of the data and file structure
This dataset (all the excel files) has information from almost 50 papers that research the use of organic matter amendments (compost, biochar, and biosolids) on urban soils until July of 2023. The focus data collected is soil carbon, nitrogen, phosphorus, potassium, bulk density, and pH. Other data includes sample size, sampling depth, years of application, application rate, type of urban environment, plant types, and publication information for each included study.
The file "Urban Amendments (Y or N) sheet" is the main data file. The has an extra column with a "Yes" or "No" depending on if organic matter amendment application occurred. A "No"' indicates the control samples within studies. This includes data for all the soil properties included in the meta-analysis as well. The main data in included in the first tab titled "General Info (C,N,BD) Sheet". Comments are present to give context if unit conversions were made or data pulled from a paper was unclear. The second tab "Heavy Metals Sheet" contains information on the impacts of organic matter amendments on heavy metals in soils. Data in this second tab was not used in the associated paper.
The file "Application Amount Mg per ha (1 or 0)" has all application rates given as %'s converted to Mg/ha of application (if the information needed for the conversion was available. The 1 indicates organic matter application occurred while a 0 indicates a control (no amending) sample. Data from the first excel file above in included in this data set as well.
The file "Spreadsheet Long and Lat for Urban Amendments" has the latitude and longitude values converted for use in GIS software for mapping. Most data from the first two excel files above in included in this data set as well, however, this file contains no comments for context on data.
Missing data code: NA
I welcome any inquiries at my email zmalone@ucmerced.edu .
Sharing/Access information
Data was derived from the following sources:
- Papers found via searches on Google Scholar and Web of Science. African Journals Online and Dialnet were also used for searching.
Methods
This data was collected (up unilt July of 2023) primarily by gathering data from articles accessible via Google Scholar and Web of Science. African Journals Online and Dialnet were also searched. Almost all of the data is directly from the papers in the same form, except where some unit conersions have been made. Any conversions cells still have formulas present to show changes made. Many of these have comments attached to at least the first cells when this occurs to explain if anything unorthodox occured.