%0 Journal Article %@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S} %@nexthigherunit 8JMKD3MGPCW/3EU2H28 %@resumeid %@resumeid %@resumeid %@resumeid 8JMKD3MGP5W/3C9JHF6 %@archivingpolicy denypublisher denyfinaldraft24 %3 numata.pdf %X Forest edges in the Amazon are very dynamic with ongoing deforestation adding new edges as older edges are eroded. Rates of edge erosion and the composition of edge ages, together with distance from edges, are very important factors in determining the magnitude of forest degradation such as biomass collapse and carbon flux. However, we lack an understanding of how these factors change through time and over the different stages of deforestation. In this study, we quantify the spatial and temporal structures of forest edge in Rondônia, southwestern Amazon, by analyses of 22 years of annual satellite imagery, and discuss the implications for biomass dynamics and forest degradation caused by edges. Our results from three different stages of deforestation (early, intermediate and advanced) reveal that more than 50% of forest edges were eliminated in the first four years after edge creation and only 20% of edges survived more than 10 years. High edge erosion rates in the first year imply that many edges disappear before going through the process of edge-induced biomass collapse. At the early stage of deforestation, young forest edges are predominant, while at the advanced deforestation stage more than 50% of total edges are >10 years old. Rapid erosion is more prevalent in early stages, when young forest edges dominate the landscape. Edge-related biomass collapse is substantially more advanced in heavily deforested regions where forests are mostly surrounded mostly by older edges, but relatively few edges remain at this point. %8 Nov. %N 11, 10 %T Determining dynamics of spatial and temporal structures of forest edges %@electronicmailaddress %@electronicmailaddress %@electronicmailaddress %@electronicmailaddress vianei@ltid.inpe.br %@secondarytype PRE PI %K Forest fragmentation, Edge dynamics, Edge erosion, Amazon, Remote sensing. %@usergroup administrator %@usergroup lattes %@usergroup marciana %@group %@group %@group %@group OBT-OBT-INPE-MCT-BR %@e-mailaddress vianei@ltid.inpe.br %@secondarykey INPE--PRE/ %@secondarymark A2_CIÊNCIAS_AGRÁRIAS A2_CIÊNCIAS_BIOLÓGICAS_I A2_ECOLOGIA_E_MEIO_AMBIENTE B1_GEOCIÊNCIAS B1_GEOGRAFIA A1_INTERDISCIPLINAR %F lattes: 8375636935011568 4 NumataCochRobeSoar:2009:DeDySp %U http://www.elsevier.com/locate/foreco %@issn 0378-1127 %2 dpi.inpe.br/plutao@80/2009/12.01.11.21.31 %@affiliation %@affiliation %@affiliation %@affiliation Instituto Nacional de Pesquisas Espaciais (INPE) %B Forest Ecology and Management %P 2547-2555 %4 dpi.inpe.br/plutao@80/2009/12.01.11.21 %D 2009 %V 258 %@doi 10.1016/j.foreco.2009.09.011 %A Numata, Izaya, %A Cochrane, Mark A., %A Roberts, Dar A., %A Soares, Joao Vianei, %@dissemination WEBSCI; PORTALCAPES; COMPENDEX. %@area SRE