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Almeida DRA, Almeyda Zambrano AM, Broadbent EN, Wendt AL, Foster P, Wilkinson BE, Salk C, Papa DDA, Stark SC, Valbuena R, Gorgens EB, Silva CA, Brancalion PHS, Fagan M, Meli P, Chazdon R. Detecting successional changes in tropical forest structure using GatorEye drone‐borne lidar. Biotropica 2020. [DOI: 10.1111/btp.12814] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Danilo Roberti Alves Almeida
- Department of Forest Sciences, “Luiz de Queiroz” College of Agriculture University of São Paulo (USP/ESALQ) Piracicaba Brazil
- Spatial Ecology and Conservation Lab School of Forest Resources and Conservation University of Florida Gainesville FL USA
| | - Angelica Maria Almeyda Zambrano
- Spatial Ecology and Conservation Lab Department of Tourism, Recreation and Sport Management University of Florida Gainesville FL USA
| | - Eben North Broadbent
- Spatial Ecology and Conservation Lab School of Forest Resources and Conservation University of Florida Gainesville FL USA
| | - Amanda L. Wendt
- Organization for Tropical Studies San Pedro Costa Rica
- EARTH University Guácimo Costa Rica
| | - Paul Foster
- Reserva Ecológica Bijagual Sarapiquí Costa Rica
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor MI USA
| | - Benjamin E. Wilkinson
- Geomatics Program School of Forest Resources and Conservation University of Florida Gainesville FL USA
| | - Carl Salk
- University of Agricultural Sciences Alnarp Sweden
| | | | | | | | - Eric Bastos Gorgens
- Department of Forestry Federal University of Jequitinhonha e Mucuri Valleys (UFVJM) Diamantina Brazil
| | - Carlos Alberto Silva
- School of Forest Resources and Conservation University of Florida Gainesville FL USA
- Department of Geographical Sciences University of Maryland College Park MD USA
| | | | | | - Paula Meli
- Department of Forest Sciences, “Luiz de Queiroz” College of Agriculture University of São Paulo (USP/ESALQ) Piracicaba Brazil
- Department of Forest Sciences Universidad de La Frontera Temuco Chile
| | - Robin Chazdon
- Department of Ecology & Evolutionary Biology University of Connecticut Storrs CT USA
- Tropical Forests and People Research Centre University of the Sunshine Coast Sippy Downs QLD Australia
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Chave J, Piponiot C, Maréchaux I, de Foresta H, Larpin D, Fischer FJ, Derroire G, Vincent G, Hérault B. Slow rate of secondary forest carbon accumulation in the Guianas compared with the rest of the Neotropics. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2020; 30:e02004. [PMID: 31520573 DOI: 10.1002/eap.2004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 06/18/2019] [Accepted: 08/02/2019] [Indexed: 06/10/2023]
Abstract
Secondary forests are a prominent component of tropical landscapes, and they constitute a major atmospheric carbon sink. Rates of carbon accumulation are usually inferred from chronosequence studies, but direct estimates of carbon accumulation based on long-term monitoring of stands are rarely reported. Recent compilations on secondary forest carbon accumulation in the Neotropics are heavily biased geographically as they do not include estimates from the Guiana Shield. We analysed the temporal trajectory of aboveground carbon accumulation and floristic composition at one 25-ha secondary forest site in French Guiana. The site was clear-cut in 1976, abandoned thereafter, and one large plot (6.25 ha) has been monitored continuously since. We used Bayesian modeling to assimilate inventory data and simulate the long-term carbon accumulation trajectory. Canopy change was monitored using two aerial lidar surveys conducted in 2009 and 2017. We compared the dynamics of this site with that of a surrounding old-growth forest. Finally, we compared our results with that from secondary forests in Costa Rica, which is one of the rare long-term monitoring programs reaching a duration comparable to our study. Twenty years after abandonment, aboveground carbon stock was 64.2 (95% credibility interval 46.4, 89.0) Mg C/ha, and this stock increased to 101.3 (78.7, 128.5) Mg C/ha 20 yr later. The time to accumulate one-half of the mean aboveground carbon stored in the nearby old-growth forest (185.6 [155.9, 200.2] Mg C/ha) was estimated at 35.0 [20.9, 55.9] yr. During the first 40 yr, the contribution of the long-lived pioneer species Xylopia nitida, Goupia glabra, and Laetia procera to the aboveground carbon stock increased continuously. Secondary forest mean-canopy height measured by lidar increased by 1.14 m in 8 yr, a canopy-height increase consistent with an aboveground carbon accumulation of 7.1 Mg C/ha (or 0.89 Mg C·ha-1 ·yr-1 ) during this period. Long-term AGC accumulation rate in Costa Rica was almost twice as fast as at our site in French Guiana. This may reflect higher fertility of Central American forest communities or a better adaptation of the forest tree community to intense and frequent disturbances. This finding may have important consequences for scaling-up carbon uptake estimates to continental scales.
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Affiliation(s)
- Jérôme Chave
- Laboratoire Evolution et Diversité Biologique, UMR5174, CNRS-Université Paul Sabatier-IRD, Bâtiment 4R1, 118 route de Narbonne, F-31062, Toulouse Cedex 9, France
| | - Camille Piponiot
- Cirad, UMR 'Ecologie des Forêts de Guyane' (AgroparisTech, CNRS, Inra, Université des Antilles, Université de la Guyane), F-97379, Kourou Cedex, French Guiana
| | - Isabelle Maréchaux
- Laboratoire Evolution et Diversité Biologique, UMR5174, CNRS-Université Paul Sabatier-IRD, Bâtiment 4R1, 118 route de Narbonne, F-31062, Toulouse Cedex 9, France
- AgroParisTech-ENGREF, 19 Avenue du Maine, F-75015, Paris, France
- AMAP, Univ Montpellier, IRD, CIRAD, CNRS, INRA, F-34000, Montpellier, France
| | - Hubert de Foresta
- AMAP, Univ Montpellier, IRD, CIRAD, CNRS, INRA, F-34000, Montpellier, France
| | - Denis Larpin
- Direction Générale Déléguée aux Musées, Jardins et Zoos, Muséum National d'Histoire Naturelle, 57 rue Cuvier, F-75005, Paris, France
| | - Fabian Jörg Fischer
- Laboratoire Evolution et Diversité Biologique, UMR5174, CNRS-Université Paul Sabatier-IRD, Bâtiment 4R1, 118 route de Narbonne, F-31062, Toulouse Cedex 9, France
| | - Géraldine Derroire
- Cirad, UMR 'Ecologie des Forêts de Guyane' (AgroparisTech, CNRS, Inra, Université des Antilles, Université de la Guyane), F-97379, Kourou Cedex, French Guiana
| | - Grégoire Vincent
- AMAP, Univ Montpellier, IRD, CIRAD, CNRS, INRA, F-34000, Montpellier, France
| | - Bruno Hérault
- Cirad, Univ Montpellier, UR Forests & Societies, F-34000, Montpellier, France
- INPHB, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro, Ivory Coast
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Cushman KC, Kellner JR. Prediction of forest aboveground net primary production from high-resolution vertical leaf-area profiles. Ecol Lett 2019; 22:538-546. [PMID: 30632240 DOI: 10.1111/ele.13214] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 08/09/2018] [Accepted: 11/25/2018] [Indexed: 11/30/2022]
Abstract
Temperature and precipitation explain about half the variation in aboveground net primary production (ANPP) among tropical forest sites, but determinants of remaining variation are poorly understood. Here, we test the hypothesis that the amount of leaf area, and its vertical arrangement, predicts ANPP when other variables are held constant. Using measurements from airborne lidar in a lowland Neotropical rain forest, we quantify vertical leaf-area profiles and develop models of ANPP driven by leaf area and other measurements of forest structure. Vertical leaf-area profiles predict 38% of the variation among plots. This number is 4.5 times greater than models using total leaf area (disregarding vertical arrangement) and 2.1 times greater than models using canopy height alone. Furthermore, ANPP predictions from vertical leaf-area profiles were less biased than alternate metrics. Variation in ANPP not attributable to temperature or precipitation can be predicted by the vertical distribution of leaf area in this system.
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Affiliation(s)
- K C Cushman
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, RI, 02912, USA.,Department of Ecology and Evolutionary Biology, Brown University, 80 Waterman Street, Providence, RI, 02912, USA
| | - James R Kellner
- Institute at Brown for Environment and Society, Brown University, 85 Waterman Street, Providence, RI, 02912, USA.,Department of Ecology and Evolutionary Biology, Brown University, 80 Waterman Street, Providence, RI, 02912, USA
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