Tropical forest canopies and their relationships with climate and disturbance : results from a global dataset of consistent field-based measurements
| dc.contributor.author | Pfeifer, Marion | |
| dc.contributor.author | Gonsamo, Alemu | |
| dc.contributor.author | Woodgate, William | |
| dc.contributor.author | Cayuela, Luis | |
| dc.contributor.author | Marshall, Andrew R. | |
| dc.contributor.author | Ledo, Alicia | |
| dc.contributor.author | Paine, Timothy C. E. | |
| dc.contributor.author | Marchant, Rob | |
| dc.contributor.author | Burt, Andrew | |
| dc.contributor.author | Calders, Kim | |
| dc.contributor.author | Courtney-Mustaphi, Colin | |
| dc.contributor.author | Cuni-Sanchez, Aida | |
| dc.contributor.author | Deere, Nicolas J. | |
| dc.contributor.author | Denu, Dereje | |
| dc.contributor.author | Gonzalez de Tanago, Jose | |
| dc.contributor.author | Hayward, Robin | |
| dc.contributor.author | Lau, Alvaro | |
| dc.contributor.author | Macia, Manuel J. | |
| dc.contributor.author | Olivier, Pieter Ignatius | |
| dc.contributor.author | Pellikka, Petri | |
| dc.contributor.author | Seki, Hamidu | |
| dc.contributor.author | Shirima, Deo | |
| dc.contributor.author | Trevithick, Rebecca | |
| dc.contributor.author | Wedeux, Beatrice | |
| dc.contributor.author | Wheeler, Charlotte | |
| dc.contributor.author | Munishi, Pantaleo K.T. | |
| dc.contributor.author | Martin, Thomas | |
| dc.contributor.author | Mustari, Abdul | |
| dc.contributor.author | Platts, Philip J. | |
| dc.date.accessioned | 2018-04-11T11:15:00Z | |
| dc.date.available | 2018-04-11T11:15:00Z | |
| dc.date.issued | 2018-01-08 | |
| dc.description | Additional file 1: Table S1. Attributes of each dataset used in the analyses. Locations of each plot are provided as *.pdf file (Additional file 2). N - Number of plots used for the analyses (we excluded plots that measured at less than eight sampling points). Year - Year of field measurements. Researcher - AB, Andrew Burt; ACS, Aida Cuni-Sanchez; AG, Alemu Gonsamo; AL, Alicia Ledo; ARM, Andrew R Marshall; BW, Beatrice Wedeux; DD, Dereje Denu; DS, Deo Shirima; HS, Hamidu Seki; JGT, Jose Gonzalez de Tanago Menaca; KC, Kim Calders; LC, Luis Cayuela; LAS, Lau Alvaro Sarmiento; MJM, Manuel J Macia; MP, Marion Pfeifer; ND, Nicolas Deere; PO, Pieter Olivier; PKEP, Petri Pellikka; PJP, Philip J Platts; RT, Rebecca Trevithick; RH, Robin Hayward; RM, Robert Marchant; TP, Timothy Paine; WW, Woodgate William. Figure S1. Example maps of human population pressure, calculated from human population density grids using a range of sigma values (σ = 5, 15, 25, 50). Colours are graduated on a log base 2 scale (light colours, low pressure; dark colours, high pressure). The maps provide scope for capturing human-driven pressures at a variety of spatial scales (Platts 2012). For example, if σ = 5 then the weight given to remote populations (relative to the local population) halves over a distance of ~4 km, nearing zero by ~15 km, whereas if σ = 25 then the weight halves over a distance of ~20 km, nearing zero by ~60 km. We imposed a maximum distance of 100 km, beyond which no pressure is exerted. Figure S2. Relationships between Annual Moisture Index (AMI) and Mean Annual Precipitation (MAP) and canopy attributes LAI, fAPAR and FCover. We fitted linear, polynomial and nonlinear (nls model 1: y ~ a + b * I(x^z); nls model 2: y~a/(1 + exp.(−(b + c*x))) models. Upper panel: polynomial models fitted to LAI ~ MAP, FCover - MAP and fAPAR - MAP relationships. The polynomial (RSS 1.464) and sigmoidal growth models (RSS 1.464) produced slightly better fits to the LAI data compared to the fits produced by the linear (RSS 1.47) and exponential (RSS 1.467) models. The polynomial model produced the best fit to the FCover (RSS 24.76) and fAPAR (RSS 0.2371) data. Lower panel: nls model 2 fitted to LAI ~ MAP, FCover - MAP and fAPAR - MAP relationships. The logistic growth model produced the best fit to the LAI data (RSS 1.347), the FCover data (RSS 22.95) and the fAPAR data (RSS 0.2191). | en_ZA |
| dc.description | Additional file 2: Locations of each plot. | en_ZA |
| dc.description.abstract | BACKGROUND : Canopy structure, defined by leaf area index (LAI), fractional vegetation cover (FCover) and fraction of absorbed photosynthetically active radiation (fAPAR), regulates a wide range of forest functions and ecosystem services. Spatially consistent field-measurements of canopy structure are however lacking, particularly for the tropics. METHODS : Here, we introduce the Global LAI database: a global dataset of field-based canopy structure measurements spanning tropical forests in four continents (Africa, Asia, Australia and the Americas). We use these measurements to test for climate dependencies within and across continents, and to test for the potential of anthropogenic disturbance and forest protection to modulate those dependences. RESULTS : Using data collected from 887 tropical forest plots, we show that maximum water deficit, defined across the most arid months of the year, is an important predictor of canopy structure, with all three canopy attributes declining significantly with increasing water deficit. Canopy attributes also increase with minimum temperature, and with the protection of forests according to both active (within protected areas) and passive measures (through topography). Once protection and continent effects are accounted for, other anthropogenic measures (e.g. human population) do not improve the model. CONCLUSIONS : We conclude that canopy structure in the tropics is primarily a consequence of forest adaptation to the maximum water deficits historically experienced within a given region. Climate change, and in particular changes in drought regimes may thus affect forest structure and function, but forest protection may offer some resilience against this effect. | en_ZA |
| dc.description.department | Zoology and Entomology | en_ZA |
| dc.description.librarian | am2018 | en_ZA |
| dc.description.sponsorship | CCM was supported by the ‘Uncovering the variable roles of fire in savannah ecosystems’ project, funded by Leverhulme Trust under grant IN-2014-022 and ‘Resilience in East African Landscapes’ project funded by European Commission Marie Curie Initial Training Network (FP7-PEOPLE-2013-ITN project number 606879). MP and AM collected data in Tanzania with funding from Australian Research Council, IUCN Sustain / African Wildlife Foundation and University of York Research Pump Priming Fund. MP and PO collected data in South Africa with funding through the European Research Council ERC-2011-StG_20101109 (project number 281986) and the British Ecological Society - Ecologists in Africa programme. MP, PP, ACS and RM collected data in Kenya, Ethiopia and Tanzania with support through the ‘Climate Change Impacts on Ecosystem Services and Food Security in Eastern Africa (CHIESA)’ project (2011–2015), which was funded by the Ministry for Foreign Affairs of Finland, and coordinated by the International Centre of Insect Physiology and Ecology (icipe) in Nairobi, Kenya. WWF-REDD provided funding to ND to collect data in Tanzania. | en_ZA |
| dc.description.uri | https://forestecosyst.springeropen.com | en_ZA |
| dc.identifier.citation | Pfeifer, M., Gonsamo, A., Woodgate, W. et al. 2018, 'Tropical forest canopies and their relationships with climate and disturbance : results from a global dataset of consistent field-based measurements', Forest Ecosystems, vol. 5, art. no. 7, pp. 1-14. | en_ZA |
| dc.identifier.issn | 2095-6355 (print) | |
| dc.identifier.issn | 2197-5620 (online) | |
| dc.identifier.other | 10.1186/s40663-017-0118-7 | |
| dc.identifier.uri | http://hdl.handle.net/2263/64505 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | BioMed Central | en_ZA |
| dc.rights | © The Author(s). 2018 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). | en_ZA |
| dc.subject | Human population pressure | en_ZA |
| dc.subject | Protected areas | en_ZA |
| dc.subject | Drought | en_ZA |
| dc.subject | Climate change | en_ZA |
| dc.subject | Sensitivity | en_ZA |
| dc.subject | Carbon | en_ZA |
| dc.subject | Tree mortality | en_ZA |
| dc.subject | Brazilian Amazon | en_ZA |
| dc.subject | Amazon rain-forest | en_ZA |
| dc.subject | Digital hemispherical photography | en_ZA |
| dc.subject | Leaf area index (LAI) | en_ZA |
| dc.subject | Fractional vegetation cover (FCover) | en_ZA |
| dc.subject | Fraction of absorbed photosynthetically active radiation (fAPAR) | en_ZA |
| dc.title | Tropical forest canopies and their relationships with climate and disturbance : results from a global dataset of consistent field-based measurements | en_ZA |
| dc.type | Article | en_ZA |
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