DOI: 10.1016/j.foreco.2016.03.057
Scopus记录号: 2-s2.0-84962185133
论文题名: Fast natural regeneration in abandoned pastures in southern Amazonia
作者: Rocha G.P.E. ; Vieira D.L.M. ; Simon M.F.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 370 起始页码: 93
结束页码: 101
语种: 英语
英文关键词: Chronosequence
; Ecological restoration
; Forest succession
; Land use
; Rondônia
; Vismia
Scopus关键词: Agriculture
; Conservation
; Forestry
; Land use
; Restoration
; Satellite imagery
; Chronosequences
; Ecological restoration
; Forest succession
; Land cover classification
; LANDSAT satellite images
; Model selection procedures
; Secondary forest succession
; Vismia
; Reforestation
; abandoned land
; buffer zone
; chronosequence
; forest cover
; Landsat
; pasture
; regeneration
; restoration ecology
; satellite imagery
; secondary forest
; secondary succession
; shrub
; Amazonia
; Brazil
; Madeira River
; Nia
; Vismia
; Vismia guianensis
英文摘要: Abandoned pastureland provides a prime opportunity for forest recovery of these degraded areas in the Amazon. Many factors impact forest regeneration, including time and intensity of pasture use before abandonment, and proximity of a source of propagules. Given these conditions, it is necessary to better investigate the effect of such factors on the natural regeneration of abandoned pastureland. Here we employed chronosequences to study secondary forest succession in abandoned pastures along the Madeira River, Rondônia, Brazil. We installed 314 m2 plots in 36 abandoned pastures previously subjected to long-term use (average of 9 years), but now at different stages of natural regeneration. All tree species stems ≥30 cm in height were identified, and their diameter was measured at ground level. Using a historical series of Landsat satellite images, time of pasture encroachment ("encapoeiramento"), time of pasture use, and time since last use were all calculated. The percentage of forest cover adjacent to each plot was calculated using a circular buffer (120 m radius) overlaid on a land-cover classification. Model selection procedure was used to access the importance of four predictors on natural regeneration variables (species density, basal area, stem density). We sampled 6380 stems belonging to 202 morphospecies grouped into 138 genera and 51 families. The two most important species were Vismia guianensis and Vismia gracilis that together represented 40% of abundance, 70% of frequency, and 101% of IVI (Importance Value Index) of the plants sampled. Most species (164) were recorded in a maximum of four out of 36 plots sampled. Species density increased by ca. five species per year after pasture encroachment. Occurrence of rare species increased with time following encroachment, while relative abundance and basal area of the main pioneer species decreased with the advance of forest succession. Time of pasture encroachment, time of pasture use, and time since last use had significant effect on natural regeneration, whereas cover of surrounding forest had limited influence. Although constrained by long-term use, natural regeneration in abandoned pastures occurred relatively rapidly based on the high occurrence of resprouting pioneer species, which formed secondary sites during the first years of succession. Afterwards, regeneration was incremented by the establishment of a number of late succession species. We conclude that forest restoration of abandoned pastures in the Amazon should use the natural potential of forest regeneration, considering both the speed and intensity of the process. © 2016 Elsevier B.V.. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64941
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Departamento de Botânica, Universidade de Brasília, Caixa Postal 4457, Brasília, DF, Brazil; Embrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brazil
Recommended Citation:
Rocha G.P.E.,Vieira D.L.M.,Simon M.F.. Fast natural regeneration in abandoned pastures in southern Amazonia[J]. Forest Ecology and Management,2016-01-01,370