Optimal soil carbon sampling designs to achieve cost-effectiveness: a case study in blue carbon ecosystems
AuthorsYoung, Mary A.
Macreadie, Peter I.
Carnell, Paul E.
Duarte, Carlos M.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Marine Science Program
Red Sea Research Center (RSRC)
Online Publication Date2018-09-26
Print Publication Date2018-09
Permanent link to this recordhttp://hdl.handle.net/10754/630571
MetadataShow full item record
AbstractResearchers are increasingly studying carbon (C) storage by natural ecosystems for climate mitigation, including coastal 'blue carbon' ecosystems. Unfortunately, little guidance on how to achieve robust, cost-effective estimates of blue C stocks to inform inventories exists. We use existing data (492 cores) to develop recommendations on the sampling effort required to achieve robust estimates of blue C. Using a broad-scale, spatially explicit dataset from Victoria, Australia, we applied multiple spatial methods to provide guidelines for reducing variability in estimates of soil C stocks over large areas. With a separate dataset collected across Australia, we evaluated how many samples are needed to capture variability within soil cores and the best methods for extrapolating C to 1 m soil depth. We found that 40 core samples are optimal for capturing C variance across 1000's of kilometres but higher density sampling is required across finer scales (100-200 km). Accounting for environmental variation can further decrease required sampling. The within core analyses showed that nine samples within a core capture the majority of the variability and log-linear equations can accurately extrapolate C. These recommendations can help develop standardized methods for sampling programmes to quantify soil C stocks at national scales.
CitationYoung MA, Macreadie PI, Duncan C, Carnell PE, Nicholson E, et al. (2018) Optimal soil carbon sampling designs to achieve cost-effectiveness: a case study in blue carbon ecosystems. Biology Letters 14: 20180416. Available: http://dx.doi.org/10.1098/rsbl.2018.0416.
SponsorsThese works are part of The Nature Conservancy's Great Southern Seascapes programme and supported by The Thomas Foundation, HSBC Australia, the Ian Potter Foundation, and Victorian and New South Wales governments including Parks Victoria, Department of Environment Land Water and Planning, Victorian Fisheries Authority, New South Wales Office of Environment and Heritage, and New South Wales Department of Primary Industries. Funding was also provided by an Australian Research Council Linkage Project (LP160100242).
PublisherThe Royal Society
RelationsIs Supplemented By:
Young, M. A., Macreadie, P. I., Duncan, C., Carnell, P. E., Nicholson, E., Serrano, O., Duarte, C. M., Shiell, G., Baldock, J., & Ierodiaconou, D. (2018). Supplementary material from "Optimal soil carbon sampling designs to achieve cost-effectiveness: a case study in blue carbon ecosystems". Figshare. https://doi.org/10.6084/M9.FIGSHARE.C.4227992.V2. DOI: 10.6084/m9.figshare.c.4227992.v2 Handle: 10754/664275
Young, M. A., Macreadie, P. I., Duncan, C., Carnell, P. E., Nicholson, E., Serrano, O., Duarte, C. M., Shiell, G., Baldock, J., & Ierodiaconou, D. (2018). Data from: Optimal soil carbon sampling designs to achieve cost-effectiveness: a case study in blue carbon ecosystems (Version 1) [Data set]. Dryad. https://doi.org/10.5061/DRYAD.QJ472R2. DOI: 10.5061/dryad.qj472r2 Handle: 10754/665156