Loading…
The GrassSyn dataset: Soil organic carbon stocks in Brazilian grassy ecosystems
Although ecosystem management and restoration are known to enhance carbon storage, limited knowledge of ecosystem-specific soil organic carbon (SOC) stocks and processes hinders the development of climate-ready, biodiversity-focused policies. Baseline SOC stocks data for specific ecosystems is essen...
Saved in:
Published in: | Journal of environmental quality 2024-12 |
---|---|
Main Authors: | , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c250t-dc873b14266b7acb2f4f3df0beed0627eaa26f334ab7742eac6ff7fa613a28503 |
container_end_page | |
container_issue | |
container_start_page | |
container_title | Journal of environmental quality |
container_volume | |
creator | Andrade, Bianca Ott Gamboa, Cristhian Hernandez Ferreira, Gabriel William Dias Wiesmeier, Martin Assad, Eduardo Delgado Cerri, Carlos Eduardo Pellegrino Mello, José Márcio Morais, Vinícius Augusto Overbeck, Gerhard E Pinto-Junior, Herval Vieira Scolforo, José Roberto Soares Tornquist, Carlos Gustavo |
description | Although ecosystem management and restoration are known to enhance carbon storage, limited knowledge of ecosystem-specific soil organic carbon (SOC) stocks and processes hinders the development of climate-ready, biodiversity-focused policies. Baseline SOC stocks data for specific ecosystems is essential. This paper aims to: (i) examine SOC stock variability across major grassy ecosystems in Brazil and (ii) discuss data limitations and applications. We compiled the Grassland Synthesis Working Group dataset, which comprehensively aggregates SOC stocks data from published studies on main Brazil's grassy ecosystems. Our dataset results from systematic literature review and regional soil sampling datasets. The dataset provides spatially explicit SOC stocks, physical soil properties, and ancillary information from 182 studies (1996-2021) across 803 sites, spanning 35° latitude and 28° longitude. The dataset, structured in relational tables, reports soil C stocks and ancillary soil parameters at depths up to 100 cm. SOC stocks vary by grassy ecosystem types and sampling depth, with subtropical grasslands (Campos Gerais, South Brazilian highland grasslands, and Pampa) showing the highest SOC stocks across all depth layers (SOC 0-30 cm: 64.5-162.8 Mg C ha
; SOC 0-100 cm: 137.6-224.7 Mg C ha
). The tropical Cerrado and Amazon grassy ecosystems exhibit high SOC stocks, particularly in subsurface layers (SOC 0-30 cm: 53.6 and 38.3 Mg C ha
; SOC 0-100 cm: 109.8 and 121.4 Mg C ha
, respectively). Our data analysis shows high carbon stocks in natural/seminatural ecosystems, but some ecosystems are undersampled. The dataset on SOC stocks in grassy ecosystems could greatly aid Brazil's national greenhouse gas inventory. |
doi_str_mv | 10.1002/jeq2.20665 |
format | article |
fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_DiVA_org_kau_102609</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3149538518</sourcerecordid><originalsourceid>FETCH-LOGICAL-c250t-dc873b14266b7acb2f4f3df0beed0627eaa26f334ab7742eac6ff7fa613a28503</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRS0EglLY8AHIS4SU4kdit-ygPCUkFi1srYljgyGNiycRKl9PSoHNzCzOvRodQo44G3HGxNmb-xAjwZQqtsiAF1Jnoh_bZMBY3t-5KPbIPuIbY1wwrXbJnpxowSe5GJDH-aujtwkQZ6uGVtACuvaczmKoaUwv0ARLLaQyNhTbaN-RhoZeJvgKdYCGvqyTK-psxBW2boEHZMdDje7wdw_J0831fHqXPTze3k8vHjIrCtZmlR1rWfJcKFVqsKXwuZeVZ6VzFVNCOwChvJQ5lFrnwoFV3msPiksQ44LJIck2vfjpll1pliksIK1MhGCuwvOF6Z8379AZzoRik54_2fDLFD86h61ZBLSurqFxsUMjeT4p5Ljg4x493aA2RcTk_H85Z2Yt3KyFmx_hPXz829uVC1f9o3-G5TcePXxa</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3149538518</pqid></control><display><type>article</type><title>The GrassSyn dataset: Soil organic carbon stocks in Brazilian grassy ecosystems</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Andrade, Bianca Ott ; Gamboa, Cristhian Hernandez ; Ferreira, Gabriel William Dias ; Wiesmeier, Martin ; Assad, Eduardo Delgado ; Cerri, Carlos Eduardo Pellegrino ; Mello, José Márcio ; Morais, Vinícius Augusto ; Overbeck, Gerhard E ; Pinto-Junior, Herval Vieira ; Scolforo, José Roberto Soares ; Tornquist, Carlos Gustavo</creator><creatorcontrib>Andrade, Bianca Ott ; Gamboa, Cristhian Hernandez ; Ferreira, Gabriel William Dias ; Wiesmeier, Martin ; Assad, Eduardo Delgado ; Cerri, Carlos Eduardo Pellegrino ; Mello, José Márcio ; Morais, Vinícius Augusto ; Overbeck, Gerhard E ; Pinto-Junior, Herval Vieira ; Scolforo, José Roberto Soares ; Tornquist, Carlos Gustavo</creatorcontrib><description>Although ecosystem management and restoration are known to enhance carbon storage, limited knowledge of ecosystem-specific soil organic carbon (SOC) stocks and processes hinders the development of climate-ready, biodiversity-focused policies. Baseline SOC stocks data for specific ecosystems is essential. This paper aims to: (i) examine SOC stock variability across major grassy ecosystems in Brazil and (ii) discuss data limitations and applications. We compiled the Grassland Synthesis Working Group dataset, which comprehensively aggregates SOC stocks data from published studies on main Brazil's grassy ecosystems. Our dataset results from systematic literature review and regional soil sampling datasets. The dataset provides spatially explicit SOC stocks, physical soil properties, and ancillary information from 182 studies (1996-2021) across 803 sites, spanning 35° latitude and 28° longitude. The dataset, structured in relational tables, reports soil C stocks and ancillary soil parameters at depths up to 100 cm. SOC stocks vary by grassy ecosystem types and sampling depth, with subtropical grasslands (Campos Gerais, South Brazilian highland grasslands, and Pampa) showing the highest SOC stocks across all depth layers (SOC 0-30 cm: 64.5-162.8 Mg C ha
; SOC 0-100 cm: 137.6-224.7 Mg C ha
). The tropical Cerrado and Amazon grassy ecosystems exhibit high SOC stocks, particularly in subsurface layers (SOC 0-30 cm: 53.6 and 38.3 Mg C ha
; SOC 0-100 cm: 109.8 and 121.4 Mg C ha
, respectively). Our data analysis shows high carbon stocks in natural/seminatural ecosystems, but some ecosystems are undersampled. The dataset on SOC stocks in grassy ecosystems could greatly aid Brazil's national greenhouse gas inventory.</description><identifier>ISSN: 0047-2425</identifier><identifier>ISSN: 1537-2537</identifier><identifier>EISSN: 1537-2537</identifier><identifier>DOI: 10.1002/jeq2.20665</identifier><identifier>PMID: 39721942</identifier><language>eng</language><publisher>United States</publisher><subject>Biologi ; Biology</subject><ispartof>Journal of environmental quality, 2024-12</ispartof><rights>2024 The Author(s). Journal of Environmental Quality published by Wiley Periodicals LLC on behalf of American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c250t-dc873b14266b7acb2f4f3df0beed0627eaa26f334ab7742eac6ff7fa613a28503</cites><orcidid>0000-0002-6250-5835 ; 0000-0002-2894-5191 ; 0000-0003-2945-1510 ; 0000-0002-0522-5060 ; 0000-0002-5715-0654 ; 0000-0003-1514-5969 ; 0000-0002-8716-5136 ; 0000-0002-5888-6751 ; 0000-0001-8770-063X ; 0000-0002-4374-4056 ; 0000-0003-3981-5461</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39721942$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-102609$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Andrade, Bianca Ott</creatorcontrib><creatorcontrib>Gamboa, Cristhian Hernandez</creatorcontrib><creatorcontrib>Ferreira, Gabriel William Dias</creatorcontrib><creatorcontrib>Wiesmeier, Martin</creatorcontrib><creatorcontrib>Assad, Eduardo Delgado</creatorcontrib><creatorcontrib>Cerri, Carlos Eduardo Pellegrino</creatorcontrib><creatorcontrib>Mello, José Márcio</creatorcontrib><creatorcontrib>Morais, Vinícius Augusto</creatorcontrib><creatorcontrib>Overbeck, Gerhard E</creatorcontrib><creatorcontrib>Pinto-Junior, Herval Vieira</creatorcontrib><creatorcontrib>Scolforo, José Roberto Soares</creatorcontrib><creatorcontrib>Tornquist, Carlos Gustavo</creatorcontrib><title>The GrassSyn dataset: Soil organic carbon stocks in Brazilian grassy ecosystems</title><title>Journal of environmental quality</title><addtitle>J Environ Qual</addtitle><description>Although ecosystem management and restoration are known to enhance carbon storage, limited knowledge of ecosystem-specific soil organic carbon (SOC) stocks and processes hinders the development of climate-ready, biodiversity-focused policies. Baseline SOC stocks data for specific ecosystems is essential. This paper aims to: (i) examine SOC stock variability across major grassy ecosystems in Brazil and (ii) discuss data limitations and applications. We compiled the Grassland Synthesis Working Group dataset, which comprehensively aggregates SOC stocks data from published studies on main Brazil's grassy ecosystems. Our dataset results from systematic literature review and regional soil sampling datasets. The dataset provides spatially explicit SOC stocks, physical soil properties, and ancillary information from 182 studies (1996-2021) across 803 sites, spanning 35° latitude and 28° longitude. The dataset, structured in relational tables, reports soil C stocks and ancillary soil parameters at depths up to 100 cm. SOC stocks vary by grassy ecosystem types and sampling depth, with subtropical grasslands (Campos Gerais, South Brazilian highland grasslands, and Pampa) showing the highest SOC stocks across all depth layers (SOC 0-30 cm: 64.5-162.8 Mg C ha
; SOC 0-100 cm: 137.6-224.7 Mg C ha
). The tropical Cerrado and Amazon grassy ecosystems exhibit high SOC stocks, particularly in subsurface layers (SOC 0-30 cm: 53.6 and 38.3 Mg C ha
; SOC 0-100 cm: 109.8 and 121.4 Mg C ha
, respectively). Our data analysis shows high carbon stocks in natural/seminatural ecosystems, but some ecosystems are undersampled. The dataset on SOC stocks in grassy ecosystems could greatly aid Brazil's national greenhouse gas inventory.</description><subject>Biologi</subject><subject>Biology</subject><issn>0047-2425</issn><issn>1537-2537</issn><issn>1537-2537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo9kMtOwzAQRS0EglLY8AHIS4SU4kdit-ygPCUkFi1srYljgyGNiycRKl9PSoHNzCzOvRodQo44G3HGxNmb-xAjwZQqtsiAF1Jnoh_bZMBY3t-5KPbIPuIbY1wwrXbJnpxowSe5GJDH-aujtwkQZ6uGVtACuvaczmKoaUwv0ARLLaQyNhTbaN-RhoZeJvgKdYCGvqyTK-psxBW2boEHZMdDje7wdw_J0831fHqXPTze3k8vHjIrCtZmlR1rWfJcKFVqsKXwuZeVZ6VzFVNCOwChvJQ5lFrnwoFV3msPiksQ44LJIck2vfjpll1pliksIK1MhGCuwvOF6Z8379AZzoRik54_2fDLFD86h61ZBLSurqFxsUMjeT4p5Ljg4x493aA2RcTk_H85Z2Yt3KyFmx_hPXz829uVC1f9o3-G5TcePXxa</recordid><startdate>20241225</startdate><enddate>20241225</enddate><creator>Andrade, Bianca Ott</creator><creator>Gamboa, Cristhian Hernandez</creator><creator>Ferreira, Gabriel William Dias</creator><creator>Wiesmeier, Martin</creator><creator>Assad, Eduardo Delgado</creator><creator>Cerri, Carlos Eduardo Pellegrino</creator><creator>Mello, José Márcio</creator><creator>Morais, Vinícius Augusto</creator><creator>Overbeck, Gerhard E</creator><creator>Pinto-Junior, Herval Vieira</creator><creator>Scolforo, José Roberto Soares</creator><creator>Tornquist, Carlos Gustavo</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>AAMOE</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DG3</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-6250-5835</orcidid><orcidid>https://orcid.org/0000-0002-2894-5191</orcidid><orcidid>https://orcid.org/0000-0003-2945-1510</orcidid><orcidid>https://orcid.org/0000-0002-0522-5060</orcidid><orcidid>https://orcid.org/0000-0002-5715-0654</orcidid><orcidid>https://orcid.org/0000-0003-1514-5969</orcidid><orcidid>https://orcid.org/0000-0002-8716-5136</orcidid><orcidid>https://orcid.org/0000-0002-5888-6751</orcidid><orcidid>https://orcid.org/0000-0001-8770-063X</orcidid><orcidid>https://orcid.org/0000-0002-4374-4056</orcidid><orcidid>https://orcid.org/0000-0003-3981-5461</orcidid></search><sort><creationdate>20241225</creationdate><title>The GrassSyn dataset: Soil organic carbon stocks in Brazilian grassy ecosystems</title><author>Andrade, Bianca Ott ; Gamboa, Cristhian Hernandez ; Ferreira, Gabriel William Dias ; Wiesmeier, Martin ; Assad, Eduardo Delgado ; Cerri, Carlos Eduardo Pellegrino ; Mello, José Márcio ; Morais, Vinícius Augusto ; Overbeck, Gerhard E ; Pinto-Junior, Herval Vieira ; Scolforo, José Roberto Soares ; Tornquist, Carlos Gustavo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c250t-dc873b14266b7acb2f4f3df0beed0627eaa26f334ab7742eac6ff7fa613a28503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biologi</topic><topic>Biology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andrade, Bianca Ott</creatorcontrib><creatorcontrib>Gamboa, Cristhian Hernandez</creatorcontrib><creatorcontrib>Ferreira, Gabriel William Dias</creatorcontrib><creatorcontrib>Wiesmeier, Martin</creatorcontrib><creatorcontrib>Assad, Eduardo Delgado</creatorcontrib><creatorcontrib>Cerri, Carlos Eduardo Pellegrino</creatorcontrib><creatorcontrib>Mello, José Márcio</creatorcontrib><creatorcontrib>Morais, Vinícius Augusto</creatorcontrib><creatorcontrib>Overbeck, Gerhard E</creatorcontrib><creatorcontrib>Pinto-Junior, Herval Vieira</creatorcontrib><creatorcontrib>Scolforo, José Roberto Soares</creatorcontrib><creatorcontrib>Tornquist, Carlos Gustavo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>SWEPUB Karlstads universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Karlstads universitet</collection><collection>SwePub Articles full text</collection><jtitle>Journal of environmental quality</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andrade, Bianca Ott</au><au>Gamboa, Cristhian Hernandez</au><au>Ferreira, Gabriel William Dias</au><au>Wiesmeier, Martin</au><au>Assad, Eduardo Delgado</au><au>Cerri, Carlos Eduardo Pellegrino</au><au>Mello, José Márcio</au><au>Morais, Vinícius Augusto</au><au>Overbeck, Gerhard E</au><au>Pinto-Junior, Herval Vieira</au><au>Scolforo, José Roberto Soares</au><au>Tornquist, Carlos Gustavo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The GrassSyn dataset: Soil organic carbon stocks in Brazilian grassy ecosystems</atitle><jtitle>Journal of environmental quality</jtitle><addtitle>J Environ Qual</addtitle><date>2024-12-25</date><risdate>2024</risdate><issn>0047-2425</issn><issn>1537-2537</issn><eissn>1537-2537</eissn><abstract>Although ecosystem management and restoration are known to enhance carbon storage, limited knowledge of ecosystem-specific soil organic carbon (SOC) stocks and processes hinders the development of climate-ready, biodiversity-focused policies. Baseline SOC stocks data for specific ecosystems is essential. This paper aims to: (i) examine SOC stock variability across major grassy ecosystems in Brazil and (ii) discuss data limitations and applications. We compiled the Grassland Synthesis Working Group dataset, which comprehensively aggregates SOC stocks data from published studies on main Brazil's grassy ecosystems. Our dataset results from systematic literature review and regional soil sampling datasets. The dataset provides spatially explicit SOC stocks, physical soil properties, and ancillary information from 182 studies (1996-2021) across 803 sites, spanning 35° latitude and 28° longitude. The dataset, structured in relational tables, reports soil C stocks and ancillary soil parameters at depths up to 100 cm. SOC stocks vary by grassy ecosystem types and sampling depth, with subtropical grasslands (Campos Gerais, South Brazilian highland grasslands, and Pampa) showing the highest SOC stocks across all depth layers (SOC 0-30 cm: 64.5-162.8 Mg C ha
; SOC 0-100 cm: 137.6-224.7 Mg C ha
). The tropical Cerrado and Amazon grassy ecosystems exhibit high SOC stocks, particularly in subsurface layers (SOC 0-30 cm: 53.6 and 38.3 Mg C ha
; SOC 0-100 cm: 109.8 and 121.4 Mg C ha
, respectively). Our data analysis shows high carbon stocks in natural/seminatural ecosystems, but some ecosystems are undersampled. The dataset on SOC stocks in grassy ecosystems could greatly aid Brazil's national greenhouse gas inventory.</abstract><cop>United States</cop><pmid>39721942</pmid><doi>10.1002/jeq2.20665</doi><orcidid>https://orcid.org/0000-0002-6250-5835</orcidid><orcidid>https://orcid.org/0000-0002-2894-5191</orcidid><orcidid>https://orcid.org/0000-0003-2945-1510</orcidid><orcidid>https://orcid.org/0000-0002-0522-5060</orcidid><orcidid>https://orcid.org/0000-0002-5715-0654</orcidid><orcidid>https://orcid.org/0000-0003-1514-5969</orcidid><orcidid>https://orcid.org/0000-0002-8716-5136</orcidid><orcidid>https://orcid.org/0000-0002-5888-6751</orcidid><orcidid>https://orcid.org/0000-0001-8770-063X</orcidid><orcidid>https://orcid.org/0000-0002-4374-4056</orcidid><orcidid>https://orcid.org/0000-0003-3981-5461</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0047-2425 |
ispartof | Journal of environmental quality, 2024-12 |
issn | 0047-2425 1537-2537 1537-2537 |
language | eng |
recordid | cdi_swepub_primary_oai_DiVA_org_kau_102609 |
source | Wiley-Blackwell Read & Publish Collection |
subjects | Biologi Biology |
title | The GrassSyn dataset: Soil organic carbon stocks in Brazilian grassy ecosystems |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T02%3A00%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20GrassSyn%20dataset:%20Soil%20organic%20carbon%20stocks%20in%20Brazilian%20grassy%20ecosystems&rft.jtitle=Journal%20of%20environmental%20quality&rft.au=Andrade,%20Bianca%20Ott&rft.date=2024-12-25&rft.issn=0047-2425&rft.eissn=1537-2537&rft_id=info:doi/10.1002/jeq2.20665&rft_dat=%3Cproquest_swepu%3E3149538518%3C/proquest_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c250t-dc873b14266b7acb2f4f3df0beed0627eaa26f334ab7742eac6ff7fa613a28503%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3149538518&rft_id=info:pmid/39721942&rfr_iscdi=true |