RT Journal Article
SR Electronic
T1 Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.04.23.058289
DO 10.1101/2020.04.23.058289
A1 Tassiana Maylla Fontoura Caron
A1 Victor Juan Ulises Rodriguez Chuma
A1 Alexander Arévalo Sandi
A1 Darren Norris
YR 2020
UL http://biorxiv.org/content/early/2020/04/25/2020.04.23.058289.abstract
AB Degraded Amazonian forests can take decades to recover and the ecological results of natural regeneration are still uncertain. Here we use field data collected across 15 lowland Amazon smallholder properties to examine the relationships between forest structure, mammal diversity, regrowth type, regrowth age, topography and hydrography. Forest structure was quantified together with mammal diversity in 30 paired regrowth-control plots. Forest regrowth stage was classified into three groups: late second-regrowth, early second-regrowth and abandoned pasture. Basal area in regrowth plots remained less than half that recorded in control plots even after 20-25 years. Although basal area did increase in sequence from pasture, early to late-regrowth plots, there was a significant decline in basal area of late-regrowth control plots associated with a decline in the proportion of large trees. There was also contrasting support for different non-mutually exclusive hypotheses, with proportion of small trees (DBH <20cm) most strongly supported by topography (altitude and slope) whereas the proportion of large trees (DBH >60cm) supported by plot type and regrowth class. These findings support calls for increased efforts to actively conserve large trees to avoid retrogressive succession around edges of degraded Amazon forests.Competing Interest StatementThe authors have declared no competing interest.