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Abstract
Habitat fragmentation could potentially affect tree architecture and allometry. Here, we use ground surveys of terrestrial LiDAR in Central Amazonia to explore the influence of forest edge effects on tree architecture and allometry, as well as forest biomass, 40 years after fragmentation. We find that young trees colonising the forest fragments have thicker branches and architectural traits that optimise for light capture, which result in 50% more woody volume than their counterparts of similar stem size and height in the forest interior. However, we observe a disproportionately lower height in some large trees, leading to a 30% decline in their woody volume. Despite the substantial wood production of colonising trees, the lower height of some large trees has resulted in a net loss of 6.0 Mg ha−1 of aboveground biomass – representing 2.3% of the aboveground biomass of edge forests. Our findings indicate a strong influence of edge effects on tree architecture and allometry, and uncover an overlooked factor that likely exacerbates carbon losses in fragmented forests.
Forest responses can have major effects on tree architecture and community structure near the edges of forest fragments. Here, using terrestrial LiDAR scanning data from long-term forest plots, the authors find a net negative effect of fragmentation on Amazonian Forest aboveground biomass.
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1 University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); University of Maryland, Department of Geographical Sciences, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177)
2 Wilkes University, Institute for Environmental Science and Sustainabilty, Wilkes-Barre, USA (GRID:grid.268256.d) (ISNI:0000 0000 8510 1943)
3 National Institute for Amazonian Research, (INPA), Ecology Graduate Program, Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577); Biological Dynamics of Forest Fragments Project (BDFFP) at National Institute for Amazonian Research (INPA), Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
4 College of Science and Engineering, James Cook University, Centre for Tropical Environmental and Sustainability Science, Cairns, Australia (GRID:grid.1011.1) (ISNI:0000 0004 0474 1797)
5 Biological Dynamics of Forest Fragments Project (BDFFP) at National Institute for Amazonian Research (INPA), Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
6 Biological Dynamics of Forest Fragments Project (BDFFP) at National Institute for Amazonian Research (INPA), Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577); Coordenação de Pesquisas em Ecologia, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brasil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
7 Tampere University, Computing Sciences, Tampere, Finland (GRID:grid.502801.e) (ISNI:0000 0001 2314 6254)
8 University of Cambridge, Plant Sciences and Conservation Research Institute, Cambridge, United Kingdom (GRID:grid.5335.0) (ISNI:0000 0001 2188 5934)
9 University of Turku, Amazon Research Team, Department of Biology, Turku, Finland (GRID:grid.1374.1) (ISNI:0000 0001 2097 1371)
10 The University of Hong Kong, School of Biological Sciences and Institute for Climate and Carbon Neutrality, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000 0001 2174 2757)
11 CREAF, Cerdanyola del Vallès, Barcelona, Spain (GRID:grid.452388.0) (ISNI:0000 0001 0722 403X); CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, Spain (GRID:grid.10403.36) (ISNI:0000000091771775)
12 Laboratoire Evolution et Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France (GRID:grid.462594.8) (ISNI:0000 0004 0383 1272)
13 University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); Finnish Meteorological Institute, FMI, Helsinki, Finland (GRID:grid.8657.c) (ISNI:0000 0001 2253 8678)