File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment

TitleAmazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment
Authors
KeywordsLeaf area profiles
Remote sensing of canopy structure
LiDAR
Carbon balance
Biomass growth
Gap fraction
Issue Date2012
Citation
Ecology Letters, 2012, v. 15, n. 12, p. 1406-1414 How to Cite?
AbstractTropical forest structural variation across heterogeneous landscapes may control above-ground carbon dynamics. We tested the hypothesis that canopy structure (leaf area and light availability) - remotely estimated from LiDAR - control variation in above-ground coarse wood production (biomass growth). Using a statistical model, these factors predicted biomass growth across tree size classes in forest near Manaus, Brazil. The same statistical model, with no parameterisation change but driven by different observed canopy structure, predicted the higher productivity of a site 500 km east. Gap fraction and a metric of vegetation vertical extent and evenness also predicted biomass gains and losses for one-hectare plots. Despite significant site differences in canopy structure and carbon dynamics, the relation between biomass growth and light fell on a unifying curve. This supported our hypothesis, suggesting that knowledge of canopy structure can explain variation in biomass growth over tropical landscapes and improve understanding of ecosystem function. © 2012 Blackwell Publishing Ltd/CNRS.
Persistent Identifierhttp://hdl.handle.net/10722/267007
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 4.497
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorStark, Scott C.-
dc.contributor.authorLeitold, Veronika-
dc.contributor.authorWu, Jin L.-
dc.contributor.authorHunter, Maria O.-
dc.contributor.authorde Castilho, Carolina V.-
dc.contributor.authorCosta, Flávia R.C.-
dc.contributor.authorMcmahon, Sean M.-
dc.contributor.authorParker, Geoffrey G.-
dc.contributor.authorShimabukuro, Mônica Takako-
dc.contributor.authorLefsky, Michael A.-
dc.contributor.authorKeller, Michael-
dc.contributor.authorAlves, Luciana F.-
dc.contributor.authorSchietti, Juliana-
dc.contributor.authorShimabukuro, Yosio Edemir-
dc.contributor.authorBrandão, Diego O.-
dc.contributor.authorWoodcock, Tara K.-
dc.contributor.authorHiguchi, Niro-
dc.contributor.authorde Camargo, Plinio B.-
dc.contributor.authorde Oliveira, Raimundo C.-
dc.contributor.authorSaleska, Scott R.-
dc.date.accessioned2019-01-31T07:20:14Z-
dc.date.available2019-01-31T07:20:14Z-
dc.date.issued2012-
dc.identifier.citationEcology Letters, 2012, v. 15, n. 12, p. 1406-1414-
dc.identifier.issn1461-023X-
dc.identifier.urihttp://hdl.handle.net/10722/267007-
dc.description.abstractTropical forest structural variation across heterogeneous landscapes may control above-ground carbon dynamics. We tested the hypothesis that canopy structure (leaf area and light availability) - remotely estimated from LiDAR - control variation in above-ground coarse wood production (biomass growth). Using a statistical model, these factors predicted biomass growth across tree size classes in forest near Manaus, Brazil. The same statistical model, with no parameterisation change but driven by different observed canopy structure, predicted the higher productivity of a site 500 km east. Gap fraction and a metric of vegetation vertical extent and evenness also predicted biomass gains and losses for one-hectare plots. Despite significant site differences in canopy structure and carbon dynamics, the relation between biomass growth and light fell on a unifying curve. This supported our hypothesis, suggesting that knowledge of canopy structure can explain variation in biomass growth over tropical landscapes and improve understanding of ecosystem function. © 2012 Blackwell Publishing Ltd/CNRS.-
dc.languageeng-
dc.relation.ispartofEcology Letters-
dc.subjectLeaf area profiles-
dc.subjectRemote sensing of canopy structure-
dc.subjectLiDAR-
dc.subjectCarbon balance-
dc.subjectBiomass growth-
dc.subjectGap fraction-
dc.titleAmazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1461-0248.2012.01864.x-
dc.identifier.pmid22994288-
dc.identifier.scopuseid_2-s2.0-84931749006-
dc.identifier.volume15-
dc.identifier.issue12-
dc.identifier.spage1406-
dc.identifier.epage1414-
dc.identifier.eissn1461-0248-
dc.identifier.isiWOS:000310250600007-
dc.identifier.issnl1461-023X-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats