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| Author | Garcia-Davila, C.; Aldana Gomero, D.; Renno, J.-F.; Diaz Soria, R.; Hidalgo Pizango, G.; Flores Llampazo, G.; Castro-Ruiz, D.; Mejia de Loayza, E.; Angulo Chavez, C.; Mader, M.; Tysklind, N.; Paredes-Villanueva, K.; del Castillo Torres, D.; Degen, B.; Honorio Coronado, E.N. | ||||
| Title | Molecular evidence for three genetic species of Dipteryx in the Peruvian Amazon | Type | Journal Article | ||
| Year | 2020 | Publication  |
Genetica | Abbreviated Journal | Genetica |
| Volume | 148 | Issue | 1 | Pages | 1-11 |
| Keywords | D. micrantha; Dipteryx charapilla; Genetic diversity; Microsatellites; Sequencing; Shihuahuaco; microsatellite DNA; plant DNA; allele; Dipteryx; DNA sequence; genetic variation; genetics; genotype; haplotype; Peru; phylogeny; plastid; river; species difference; Alleles; Dipteryx; DNA, Plant; Genetic Variation; Genotype; Haplotypes; Microsatellite Repeats; Peru; Phylogeny; Plastids; Rivers; Sequence Analysis, DNA; Species Specificity | ||||
| Abstract | There is a high international demand for timber from the genus Dipteryx, or “shihuahuaco” as it is known in Peru. Developing tools that allow the identification and discrimination of Dipteryx species is therefore important for supporting management of natural populations and to underpin legal trade of its timber. The objective of this study was the molecular characterization of Dipteryx species in the Peruvian Amazonia. Two plastid regions (cpDNA: trnH–psbA and matK) were sequenced and 11 microsatellite markers (nDNA) were genotyped for 32 individuals identified as Dipteryx charapilla, D. micrantha morphotype 1 and D. micrantha morphotype 2. Using the concatenated sequences of the plastid genes, we identified ten haplotypes that were not shared between the species or between the D. micrantha morphotypes. Haplotypic diversity was greater in D. micrantha morphotype 2 and D. charapilla than in D. micrantha morphotype 1, which presented only one haplotype with a wide distribution in Peru. The microsatellites allowed the discrimination of the same three clades and identified diagnostic alleles for each clade. These results allowed us to demonstrate that the two morphotypes of D. micrantha are different at both the plastid and nuclear markers, which supports the existence of three genetically distinct species in Peru. This study provides information for the genetic discrimination of Dipteryx species and emphasises the importance of conserving the genetic variability of this genus in the Peruvian Amazonia. © 2019, Springer Nature Switzerland AG. | ||||
| Address | Carrera de Ingeniería Foresta, Laboratorio de Dendrocronología, Facultad de Ciencias Agrícolas, Universidad Autónoma Gabriel René Moreno, Km 9 carretera al Norte, El Vallecito, Santa Cruz, Bolivia | ||||
| Corporate Author | Thesis | ||||
| Publisher | Springer | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 00166707 (Issn) | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | Approved | no | |||
| Call Number | EcoFoG @ webmaster @ | Serial | 990 | ||
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| Author | Yatabe, Y.; Kane, N.C.; Scotti-Saintagne, C.; Rieseberg, L.H. | ||||
| Title | Rampant gene exchange across a strong reproductive barrier between the annual sunflowers, Helianthus annuus and H-petiolaris | Type | Journal Article | ||
| Year | 2007 | Publication |
Genetics | Abbreviated Journal | Genetics |
| Volume | 175 | Issue | 4 | Pages | 1883-1893 |
| Keywords | |||||
| Abstract | Plant species may remain morphologically distinct despite gene exchange with congeners, yet little is known about the genomewide pattern of introgression among species. Here we analyze the effects of persistent gene flow on genomic differentiation between the sympatric sunflower species Helianthus annuus and H. petiolaris. While the species are strongly isolated in testcrosses, genetic distances at 108 microsatellite loci and 14 sequenced genes are highly variable and much lower (on average) than for more closely related but historically allopatric congeners. Our analyses failed to detect a positive association between levels of genetic differentiation and chromosomal rearrangements (as reported in a prior publication) or proximity to QTL for morphological differences or hybrid sterility. However, a significant increase in differentiation was observed for markers within 5 cM of chromosomal breakpoints. Together, these results suggest that islands of differentiation between these two species are small, except in areas of low recombination. Furthermore, only microsatellites associated with ESTs were identified as outlier loci in tests for selection, which might indicate that the ESTs themselves are the targets of selection rather than linked genes (or that coding regions are not randomly distributed). In general, these results indicate that even strong and genetically complex reproductive barriers cannot prevent widespread introgression. | ||||
| Address | Indiana Univ, Dept Biol, Bloomington, IN 47405 USA, Email: lriesebe@indiana.edu | ||||
| Corporate Author | Thesis | ||||
| Publisher | GENETICS | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0016-6731 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | ISI:000246448800029 | Approved | no | ||
| Call Number | EcoFoG @ eric.marcon @ | Serial | 216 | ||
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| Author | Scotti-Saintagne, C.; Mariette, S.; Porth, I.; Goicoechea, P.G.; Barreneche, T.; Bodenes, K.; Burg, K.; Kremer, A. | ||||
| Title | Genome scanning for interspecific differentiation between two closely related oak species [Quercus robur L. and Q petraea (Matt.) Liebl.] | Type | Journal Article | ||
| Year | 2004 | Publication |
Genetics | Abbreviated Journal | Genetics |
| Volume | 168 | Issue | 3 | Pages | 1615-1626 |
| Keywords | |||||
| Abstract | Interspecific differentiation values (G(ST)) between two closely related oak species (Quercus petraea and Q. robur) were compiled across different studies with the aim to explore the distribution of differentiation at the genome level. The study was based on a total set of 389 markers (isozymes, AFLPs, SCARs, microsatellites, and SNPs) for which allelic frequencies were estimated in pairs of populations sampled throughout the sympatric distribution of the two species. The overall distribution of GST values followed an L-shaped curve with most markers exhibiting low species differentiation (G(ST) < 0.01) and only a few loci reaching >10% levels. Twelve percent of the loci exhibited significant G(ST) deviations to neutral expectations, suggesting that selection contributed to species divergence. Coding regions expressed higher differentiation than noncoding regions. Among the 389 markers, 158 could be mapped on the 12 linkage groups of the existing Q. robur genetic map. Outlier loci with large G, values were distributed over 9 linkage groups. One cluster of three outlier loci was found within 0.51 cM; but significant autocorrelation of GST was observed at distances <2 cM. The size and distribution of genomic regions involved in species divergence are discussed in reference to hitchhiking effects and disruptive selection. | ||||
| Address | INRA, UMR Biodivers Genes & Ecosyst, F-33612 Cestas, France, Email: kremer@pierronton.inra.fr | ||||
| Corporate Author | Thesis | ||||
| Publisher | GENETICS | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0016-6731 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | ISI:000225767400041 | Approved | no | ||
| Call Number | EcoFoG @ eric.marcon @ | Serial | 258 | ||
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| Author | Woolfit, M.; Iturbe-Ormaetxe, I.; Brownlie, J.C.; Walker, T.; Riegler, M.; Seleznev, A.; Popovici, J.; Rancès, E.; Wee, B.A.; Pavlides, J.; Sullivan, M.J.; Beatson, S.A.; Lane, A.; Sidhu, M.; McMeniman, C.J.; McGraw, E.A.; O'Neill, S.L. | ||||
| Title | Genomic evolution of the pathogenic Wolbachia strain, wMelPop | Type | Journal Article | ||
| Year | 2013 | Publication |
Genome Biology and Evolution | Abbreviated Journal | Genome Biolog. Evol. |
| Volume | 5 | Issue | 11 | Pages | 2189-2204 |
| Keywords | Endosymbiont; Evolution; Genomics; Wolbachia | ||||
| Abstract | Most strains of the widespread endosymbiotic bacterium Wolbachia pipientis are benign or behave as reproductive parasites. The pathogenic strain wMelPop is a striking exception, however: it overreplicates in its insect hosts and causes severe life shortening. The mechanism of this pathogenesis is currently unknown. We have sequenced the genomes of three variants of wMelPop and of the closely related nonpathogenic strain wMelCS. We show that the genomes of wMelCS and wMelPop appear to be identical in the nonrepeat regions of the genome and differ detectably only by the triplication of a 19-kb region that is unlikely to be associated with life shortening, demonstrating that dramatic differences in the host phenotype caused by this endosymbiont may be the result of only minor genetic changes. We also compare the genomes of the original wMelPop strain from Drosophila melanogaster and two sequentialderivatives, wMelPop-CLA and wMelPop-PGYP. To develop wMelPop as a novel biocontrol agent, it was first transinfected into and passaged in mosquito cell lines for approximately 3.5 years, generating wMelPop-CLA. This cell line-passaged strain was then transinfected into Aedesaegypti mosquitoes, creating wMelPop-PGYP,which wassequenced after 4yearsin the insecthost. We observe a rapid burst of genomic changes during cell line passaging, but no further mutations were detected after transinfection into mosquitoes, indicating either that host preadaptation had occurred in cell lines, that cell lines are a more selectively permissive environment than animal hosts, or both. Our results provide valuable data on the rates of genomic and phenotypic change in Wolbachia associated with host shifts over short time scales. © The Author(s) 2013. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. | ||||
| Address | Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 17596653 (Issn) | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | Export Date: 9 February 2014; Source: Scopus; Language of Original Document: English; Correspondence Address: O'Neill, S.L.; School of Biological Sciences, Monash University, Clayton, VIC, Australia; email: scott.oneill@monash.edu; Funding Details: NIH, National Institutes of Health | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 527 | ||
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| Author | Fromin, N.; Saby, N.P.A.; Lensi, R.; Brunet, D.; Porte, B.; Domenach, A.-M.; Roggy, J.-C. | ||||
| Title | Spatial variability of soil microbial functioning in a tropical rainforest of French Guiana using nested sampling | Type | Journal Article | ||
| Year | 2013 | Publication |
Geoderma | Abbreviated Journal | |
| Volume | 197-198 | Issue | Pages | 98-107 | |
| Keywords | Denitrification; Respiration; Scale dependent process; Soil microbial processes; Soil organic matter; Tree influence potential | ||||
| Abstract | Understanding the pattern in spatial distribution of soil microbial processes is critical to understand the environmental factors that regulate them as well as to scale up these processes to ecosystem. Soil samples from a 1. ha tropical rainforest plot (Paracou, French Guiana) were analyzed according a nested sampling approach using different separation distances ranging from 0.4 to 40. m. The variability of substrate induced respiration (SIR) and of denitrification enzyme activity (DEA) was characterized in relation to various soil properties (total C and N contents, NIRS related index of soil organic matter quality, SOMQ, and index of tree influence potential, IP). The variability of SIR and DEA was higher than that of environmental properties. The patterns of accumulated variance as a function of distance varied among the soil properties. The variability of SIR and DEA mainly occurred at small (1. m) scale (and at the 10-40. m-scales for SIR), probably reflecting the quality of litter input that results of the influence of local assemblage of different tree species, though changes in the soil N and C contents. Indeed, total soil C and N contents explained the microbial properties at every scale. Coefficients of codispersion showed that neither SOMQ nor IP did correlate with SIR and DEA, and confirmed that total C and N contents explained microbial properties in a scale dependent and complex manner. Such spatial dependency underlines the importance of soil heterogeneity in this tropical forest with implications for sampling strategies when studying the microbial processes and their response to disturbances. © 2012 Elsevier B.V. | ||||
| Address | UMR EcoFoG, BP 709, 97387 Kourou, GUF, France | ||||
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| Notes | Export Date: 13 February 2013; Source: Scopus | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 466 | ||
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| Author | De Weirdt, M.; Verbeeck, H.; Maignan, F.; Peylin, P.; Poulter, B.; Bonal, D.; Ciais, P.; Steppe, K. | ||||
| Title | Seasonal leaf dynamics for tropical evergreen forests in a process-based global ecosystem model | Type | Journal Article | ||
| Year | 2012 | Publication |
Geoscientific Model Development | Abbreviated Journal | Geoscientific Model Dev. |
| Volume | 5 | Issue | 5 | Pages | 1091-1108 |
| Keywords | |||||
| Abstract | The influence of seasonal phenology on canopy photosynthesis in tropical evergreen forests remains poorly understood, and its representation in global ecosystem models is highly simplified, typically with no seasonal variation of canopy leaf properties taken into account. Including seasonal variation in leaf age and photosynthetic capacity could improve the correspondence of global vegetation model outputs with the wet-dry season CO2 patterns measured at flux tower sites in these forests. We introduced a leaf litterfall dynamics scheme in the global terrestrial ecosystem model ORCHIDEE based on seasonal variations in net primary production (NPP), resulting in higher leaf turnover in periods of high productivity. The modifications in the leaf litterfall scheme induce seasonal variation in leaf age distribution and photosynthetic capacity. We evaluated the results of the modification against seasonal patterns of three long-term in-situ leaf litterfall datasets of evergreen tropical forests in Panama, French Guiana and Brazil. In addition, we evaluated the impact of the model improvements on simulated latent heat (LE) and gross primary productivity (GPP) fluxes for the flux tower sites Guyaflux (French Guiana) and TapajÃ3s (km 67, Brazil). The results show that the introduced seasonal leaf litterfall corresponds well with field inventory leaf litter data and times with its seasonality. Although the simulated litterfall improved substantially by the model modifications, the impact on the modelled fluxes remained limited. The seasonal pattern of GPP improved clearly for the Guyaflux site, but no significant improvement was obtained for the TapajÃ3s site. The seasonal pattern of the modelled latent heat fluxes was hardly changed and remained consistent with the observed fluxes. We conclude that we introduced a realistic and generic litterfall dynamics scheme, but that other processes need to be improved in the model to achieve better simulations of GPP seasonal patterns for tropical evergreen forests. © Author(s) 2012. CC Attribution 3.0 License. | ||||
| Address | INRA Nancy, UMR INRA-UHP1137 Ecologie et Ecophysiologie Forestière, 54280 Champenoux, France | ||||
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| Language | Summary Language | Original Title | |||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1991959x (Issn) | ISBN | Medium | ||
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| Notes | Export Date: 4 October 2012; Source: Scopus; doi: 10.5194/gmd-5-1091-2012; Language of Original Document: English; Correspondence Address: De Weirdt, M.; Laboratory of Plant Ecology, Department of Applied Ecology and Environmental Biology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; email: marjolein.deweirdt@ugent.be | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 437 | ||
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| Author | Longo, M.; Knox, R.G.; Levine, N.M.; Swann, A.L.S.; Medvigy, D.M.; Dietze, M.C.; Kim, Y.; Zhang, K.; Bonal, D.; Burban, B.; Camargo, P.B.; Hayek, M.N.; Saleska, S.R.; Da Silva, R.; Bras, R.L.; Wofsy, S.C.; Moorcroft, P.R. | ||||
| Title | The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: The Ecosystem Demography model, version 2.2-Part 2: Model evaluation for tropical South America | Type | Journal Article | ||
| Year | 2019 | Publication |
Geoscientific Model Development | Abbreviated Journal | Geoscientific Model Dev. |
| Volume | 12 | Issue | 10 | Pages | 4347-4374 |
| Keywords | |||||
| Abstract | The Ecosystem Demography model version 2.2 (ED-2.2) is a terrestrial biosphere model that simulates the biophysical, ecological, and biogeochemical dynamics of vertically and horizontally heterogeneous terrestrial ecosystems. In a companion paper (Longo et al., 2019a), we described how the model solves the energy, water, and carbon cycles, and verified the high degree of conservation of these properties in long-term simulations that include long-term (multi-decadal) vegetation dynamics. Here, we present a detailed assessment of the model's ability to represent multiple processes associated with the biophysical and biogeochemical cycles in Amazon forests. We use multiple measurements from eddy covariance towers, forest inventory plots, and regional remote-sensing products to assess the model's ability to represent biophysical, physiological, and ecological processes at multiple timescales, ranging from subdaily to century long. The ED-2.2 model accurately describes the vertical distribution of light, water fluxes, and the storage of water, energy, and carbon in the canopy air space, the regional distribution of biomass in tropical South America, and the variability of biomass as a function of environmental drivers. In addition, ED-2.2 qualitatively captures several emergent properties of the ecosystem found in observations, specifically observed relationships between aboveground biomass, mortality rates, and wood density; however, the slopes of these relationships were not accurately captured. We also identified several limitations, including the model's tendency to overestimate the magnitude and seasonality of heterotrophic respiration and to overestimate growth rates in a nutrient-poor tropical site. The evaluation presented here highlights the potential of incorporating structural and functional heterogeneity within biomes in Earth system models (ESMs) and to realistically represent their impacts on energy, water, and carbon cycles. We also identify several priorities for further model development. | ||||
| Address | Georgia Institute of Technology, Atlanta, GA, United States | ||||
| Corporate Author | Thesis | ||||
| Publisher | Copernicus GmbH | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
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| ISSN | 1991959x (Issn) | ISBN | Medium | ||
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| Notes | Cited By :1; Export Date: 27 October 2019; Correspondence Address: Longo, M.; Harvard UniversityUnited States; email: mdplongo@gmail.com | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 890 | ||
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| Author | Harper, Anna B. ; Williams, Karina E. ; McGuire, Patrick ; Duran Rojas, Maria Carolina ; Hemming, Debbie ; Verhoef, Anne ; Huntingford, Chris ; Rowland, Lucy ; Marthews, Toby ; Breder Eller, Cleiton ; Mathison, Camilla ; Nobrega, Rodolfo L.B. ; Gedney, Nicola ; Vidale, Pier Luigi ; Otu-Larbi, Fred ; Pandey, Divya | ||||
| Title | Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements | Type | Journal Article | ||
| Year | 2021 | Publication |
Geoscientific Model Development | Abbreviated Journal | |
| Volume | 14 | Issue | 6 | Pages | 3269-3294 |
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| Abstract | Drought is predicted to increase in the future due to climate change, bringing with it myriad impacts on ecosystems. Plants respond to drier soils by reducing stomatal conductance in order to conserve water and avoid hydraulic damage. Despite the importance of plant drought responses for the global carbon cycle and local and regional climate feedbacks, land surface models are unable to capture observed plant responses to soil moisture stress. We assessed the impact of soil moisture stress on simulated gross primary productivity (GPP) and latent energy flux (LE) in the Joint UK Land Environment Simulator (JULES) vn4.9 on seasonal and annual timescales and evaluated 10 different representations of soil moisture stress in the model. For the default configuration, GPP was more realistic in temperate biome sites than in the tropics or high-latitude (cold-region) sites, while LE was best simulated in temperate and high-latitude (cold) sites. Errors that were not due to soil moisture stress, possibly linked to phenology, contributed to model biases for GPP in tropical savanna and deciduous forest sites. We found that three alternative approaches to calculating soil moisture stress produced more realistic results than the default parameterization for most biomes and climates. All of these involved increasing the number of soil layers from 4 to 14 and the soil depth from 3.0 to 10.8 m. In addition, we found improvements when soil matric potential replaced volumetric water content in the stress equation (the “soil14psi” experiments), when the critical threshold value for inducing soil moisture stress was reduced (“soil14p0”), and when plants were able to access soil moisture in deeper soil layers (“soil14_dr*2”). For LE, the biases were highest in the default configuration in temperate mixed forests, with overestimation occurring during most of the year. At these sites, reducing soil moisture stress (with the new parameterizations mentioned above) increased LE and increased model biases but improved the simulated seasonal cycle and brought the monthly variance closer to the measured variance of LE. Further evaluation of the reason for the high bias in LE at many of the sites would enable improvements in both carbon and energy fluxes with new parameterizations for soil moisture stress. Increasing the soil depth and plant access to deep soil moisture improved many aspects of the simulations, and we recommend these settings in future work using JULES or as a general way to improve land surface carbon and water fluxes in other models. In addition, using soil matric potential presents the opportunity to include plant functional type-specific parameters to further improve modeled fluxes. | ||||
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| Publisher | European Geosciences Union | Place of Publication | Editor | ||
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| Notes | Approved | no | |||
| Call Number | EcoFoG @ webmaster @ | Serial | 1057 | ||
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| Author | Feldpausch, T.R.; Phillips, O.L.; Brienen, R.J.W.; Gloor, E.; Lloyd, J.; Lopez-Gonzalez, G.; Monteagudo-Mendoza, A.; Malhi, Y.; Alarcón, A.; Álvarez Dávila, E.; Alvarez-Loayza, P.; Andrade, A.; Aragao, L.E.O.C.; Arroyo, L.; Aymard C., G.A.; Baker, T.R.; Baraloto, C.; Barroso, J.; Bonal, D.; Castro, W.; Chama, V.; Chave, J.; Domingues, T.F.; Fauset, S.; Groot, N.; Honorio Coronado, E.; Laurance, S.; Laurance, W.F.; Lewis, S.L.; Licona, J.C.; Marimon, B.S.; Marimon-Junior, B.H.; Mendoza Bautista, C.; Neill, D.A.; Oliveira, E.A.; Oliveira dos Santos, C.; Pallqui Camacho, N.C.; Pardo-Molina, G.; Prieto, A.; Quesada, C.A.; Ramírez, F.; Ramírez-Angulo, H.; Réjou-Méchain, M.; Rudas, A.; Saiz, G.; Salomão, R.P.; Silva-Espejo, J.E.; Silveira, M.; ter Steege, H.; Stropp, J.; Terborgh, J.; Thomas-Caesar, R.; van der Heijden, G.M.F.; Vásquez Martinez, R.; Vilanova, E.; Vos, V.A. | ||||
| Title | Amazon forest response to repeated droughts | Type | Journal Article | ||
| Year | 2016 | Publication |
Global Biogeochemical Cycles | Abbreviated Journal | Global Biogeochemical Cycles |
| Volume | 30 | Issue | 7 | Pages | 964-982 |
| Keywords | carbon; forest productivity; precipitation; tree mortality; vegetation dynamics; water deficit | ||||
| Abstract | The Amazon Basin has experienced more variable climate over the last decade, with a severe and widespread drought in 2005 causing large basin-wide losses of biomass. A drought of similar climatological magnitude occurred again in 2010; however, there has been no basin-wide ground-based evaluation of effects on vegetation. We examine to what extent the 2010 drought affected forest dynamics using ground-based observations of mortality and growth from an extensive forest plot network. We find that during the 2010 drought interval, forests did not gain biomass (net change: −0.43 Mg ha−1, confidence interval (CI): −1.11, 0.19, n = 97), regardless of whether forests experienced precipitation deficit anomalies. This contrasted with a long-term biomass sink during the baseline pre-2010 drought period (1998 to pre-2010) of 1.33 Mg ha−1 yr−1 (CI: 0.90, 1.74, p < 0.01). The resulting net impact of the 2010 drought (i.e., reversal of the baseline net sink) was −1.95 Mg ha−1 yr−1 (CI:−2.77, −1.18; p < 0.001). This net biomass impact was driven by an increase in biomass mortality (1.45 Mg ha−1 yr−1 CI: 0.66, 2.25, p < 0.001) and a decline in biomass productivity (−0.50 Mg ha−1 yr−1, CI:−0.78, −0.31; p < 0.001). Surprisingly, the magnitude of the losses through tree mortality was unrelated to estimated local precipitation anomalies and was independent of estimated local pre-2010 drought history. Thus, there was no evidence that pre-2010 droughts compounded the effects of the 2010 drought. We detected a systematic basin-wide impact of the 2010 drought on tree growth rates across Amazonia, which was related to the strength of the moisture deficit. This impact differed from the drought event in 2005 which did not affect productivity. Based on these ground data, live biomass in trees and corresponding estimates of live biomass in lianas and roots, we estimate that intact forests in Amazonia were carbon neutral in 2010 (−0.07 Pg C yr−1 CI:−0.42, 0.23), consistent with results from an independent analysis of airborne estimates of land-atmospheric fluxes during 2010. Relative to the long-term mean, the 2010 drought resulted in a reduction in biomass carbon uptake of 1.1 Pg C, compared to 1.6 Pg C for the 2005 event. ©2016. American Geophysical Union. All Rights Reserved. | ||||
| Address | Centro de Investigación y Promoción del Campesinado Norte Amazónico, Riberalta, Bolivia | ||||
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| Notes | Export Date: 1 September 2016 | Approved | no | ||
| Call Number | EcoFoG @ webmaster @ | Serial | 690 | ||
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| Author | Kattge, J.; Bönisch, G.; Díaz, S.; Lavorel, S.; Prentice, I.C.; Leadley, P.; Tautenhahn, S.; Werner, G.D.A.; Aakala, T.; Abedi, M.; Acosta, A.T.R.; Adamidis, G.C.; Adamson, K.; Aiba, M.; Albert, C.H.; Alcántara, J.M.; Alcázar C, C.; Aleixo, I.; Ali, H.; Amiaud, B.; Ammer, C.; Amoroso, M.M.; Anand, M.; Anderson, C.; Anten, N.; Antos, J.; Apgaua, D.M.G.; Ashman, T.-L.; Asmara, D.H.; Asner, G.P.; Aspinwall, M.; Atkin, O.; Aubin, I.; Baastrup-Spohr, L.; Bahalkeh, K.; Bahn, M.; Baker, T.; Baker, W.J.; Bakker, J.P.; Baldocchi, D.; Baltzer, J.; Banerjee, A.; Baranger, A.; Barlow, J.; Barneche, D.R.; Baruch, Z.; Bastianelli, D.; Battles, J.; Bauerle, W.; Bauters, M.; Bazzato, E.; Beckmann, M.; Beeckman, H.; Beierkuhnlein, C.; Bekker, R.; Belfry, G.; Belluau, M.; Beloiu, M.; Benavides, R.; Benomar, L.; Berdugo-Lattke, M.L.; Berenguer, E.; Bergamin, R.; Bergmann, J.; Bergmann Carlucci, M.; Berner, L.; Bernhardt-Römermann, M.; Bigler, C.; Bjorkman, A.D.; Blackman, C.; Blanco, C.; Blonder, B.; Blumenthal, D.; Bocanegra-González, K.T.; Boeckx, P.; Bohlman, S.; Böhning-Gaese, K.; Boisvert-Marsh, L.; Bond, W.; Bond-Lamberty, B.; Boom, A.; Boonman, C.C.F.; Bordin, K.; Boughton, E.H.; Boukili, V.; Bowman, D.M.J.S.; Bravo, S.; Brendel, M.R.; Broadley, M.R.; Brown, K.A.; Bruelheide, H.; Brumnich, F.; Bruun, H.H.; Bruy, D.; Buchanan, S.W.; Bucher, S.F.; Buchmann, N.; Buitenwerf, R.; Bunker, D.E.; Bürger, J.; Burrascano, S.; Burslem, D.F.R.P.; Butterfield, B.J.; Byun, C.; Marques, M.; Scalon, M.C.; Caccianiga, M.; Cadotte, M.; Cailleret, M.; Camac, J.; Camarero, J.J.; Campany, C.; Campetella, G.; Campos, J.A.; Cano-Arboleda, L.; Canullo, R.; Carbognani, M.; Carvalho, F.; Casanoves, F.; Castagneyrol, B.; Catford, J.A.; Cavender-Bares, J.; Cerabolini, B.E.L.; Cervellini, M.; Chacón-Madrigal, E.; Chapin, K.; Chapin, F.S.; Chelli, S.; Chen, S.-C.; Chen, A.; Cherubini, P.; Chianucci, F.; Choat, B.; Chung, K.-S.; Chytrý, M.; Ciccarelli, D.; Coll, L.; Collins, C.G.; Conti, L.; Coomes, D.; Cornelissen, J.H.C.; Cornwell, W.K.; Corona, P.; Coyea, M.; Craine, J.; Craven, D.; Cromsigt, J.P.G.M.; Csecserits, A.; Cufar, K.; Cuntz, M.; da Silva, A.C.; Dahlin, K.M.; Dainese, M.; Dalke, I.; Dalle Fratte, M.; Dang-Le, A.T.; Danihelka, J.; Dannoura, M.; Dawson, S.; de Beer, A.J.; De Frutos, A.; De Long, J.R.; Dechant, B.; Delagrange, S.; Delpierre, N.; Derroire, G.; Dias, A.S.; Diaz-Toribio, M.H.; Dimitrakopoulos, P.G.; Dobrowolski, M.; Doktor, D.; Dřevojan, P.; Dong, N.; Dransfield, J.; Dressler, S.; Duarte, L.; Ducouret, E.; Dullinger, S.; Durka, W.; Duursma, R.; Dymova, O.; E-Vojtkó, A.; Eckstein, R.L.; Ejtehadi, H.; Elser, J.; Emilio, T.; Engemann, K.; Erfanian, M.B.; Erfmeier, A.; Esquivel-Muelbert, A.; Esser, G.; Estiarte, M.; Domingues, T.F.; Fagan, W.F.; Fagúndez, J.; Falster, D.S.; Fan, Y.; Fang, J.; Farris, E.; Fazlioglu, F.; Feng, Y.; Fernandez-Mendez, F.; Ferrara, C.; Ferreira, J.; Fidelis, A.; Finegan, B.; Firn, J.; Flowers, T.J.; Flynn, D.F.B.; Fontana, V.; Forey, E.; Forgiarini, C.; François, L.; Frangipani, M.; Frank, D.; Frenette-Dussault, C.; Freschet, G.T.; Fry, E.L.; Fyllas, N.M.; Mazzochini, G.G.; Gachet, S.; Gallagher, R.; Ganade, G.; Ganga, F.; García-Palacios, P.; Gargaglione, V.; Garnier, E.; Garrido, J.L.; de Gasper, A.L.; Gea-Izquierdo, G.; Gibson, D.; Gillison, A.N.; Giroldo, A.; Glasenhardt, M.-C.; Gleason, S.; Gliesch, M.; Goldberg, E.; Göldel, B.; Gonzalez-Akre, E.; Gonzalez-Andujar, J.L.; González-Melo, A.; González-Robles, A.; Graae, B.J.; Granda, E.; Graves, S.; Green, W.A.; Gregor, T.; Gross, N.; Guerin, G.R.; Günther, A.; Gutiérrez, A.G.; Haddock, L.; Haines, A.; Hall, J.; Hambuckers, A.; Han, W.; Harrison, S.P.; Hattingh, W.; Hawes, J.E.; He, T.; He, P.; Heberling, J.M.; Helm, A.; Hempel, S.; Hentschel, J.; Hérault, B.; Hereş, A.-M.; Herz, K.; Heuertz, M.; Hickler, T.; Hietz, P.; Higuchi, P.; Hipp, A.L.; Hirons, A.; Hock, M.; Hogan, J.A.; Holl, K.; Honnay, O.; Hornstein, D.; Hou, E.; Hough-Snee, N.; Hovstad, K.A.; Ichie, T.; Igić, B.; Illa, E.; Isaac, M.; Ishihara, M.; Ivanov, L.; Ivanova, L.; Iversen, C.M.; Izquierdo, J.; Jackson, R.B.; Jackson, B.; Jactel, H.; Jagodzinski, A.M.; Jandt, U.; Jansen, S.; Jenkins, T.; Jentsch, A.; Jespersen, J.R.P.; Jiang, G.-F.; Johansen, J.L.; Johnson, D.; Jokela, E.J.; Joly, C.A.; Jordan, G.J.; Joseph, G.S.; Junaedi, D.; Junker, R.R.; Justes, E.; Kabzems, R.; Kane, J.; Kaplan, Z.; Kattenborn, T.; Kavelenova, L.; Kearsley, E.; Kempel, A.; Kenzo, T.; Kerkhoff, A.; Khalil, M.I.; Kinlock, N.L.; Kissling, W.D.; Kitajima, K.; Kitzberger, T.; Kjøller, R.; Klein, T.; Kleyer, M.; Klimešová, J.; Klipel, J.; Kloeppel, B.; Klotz, S.; Knops, J.M.H.; Kohyama, T.; Koike, F.; Kollmann, J.; Komac, B.; Komatsu, K.; König, C.; Kraft, N.J.B.; Kramer, K.; Kreft, H.; Kühn, I.; Kumarathunge, D.; Kuppler, J.; Kurokawa, H.; Kurosawa, Y.; Kuyah, S.; Laclau, J.-P.; Lafleur, B.; Lallai, E.; Lamb, E.; Lamprecht, A.; Larkin, D.J.; Laughlin, D.; Le Bagousse-Pinguet, Y.; le Maire, G.; le Roux, P.C.; le Roux, E.; Lee, T.; Lens, F.; Lewis, S.L.; Lhotsky, B.; Li, Y.; Li, X.; Lichstein, J.W.; Liebergesell, M.; Lim, J.Y.; Lin, Y.-S.; Linares, J.C.; Liu, C.; Liu, D.; Liu, U.; Livingstone, S.; Llusià, J.; Lohbeck, M.; López-García, Á.; Lopez-Gonzalez, G.; Lososová, Z.; Louault, F.; Lukács, B.A.; Lukeš, P.; Luo, Y.; Lussu, M.; Ma, S.; Maciel Rabelo Pereira, C.; Mack, M.; Maire, V.; Mäkelä, A.; Mäkinen, H.; Malhado, A.C.M.; Mallik, A.; Manning, P.; Manzoni, S.; Marchetti, Z.; Marchino, L.; Marcilio-Silva, V.; Marcon, E.; Marignani, M.; Markesteijn, L.; Martin, A.; Martínez-Garza, C.; Martínez-Vilalta, J.; Mašková, T.; Mason, K.; Mason, N.; Massad, T.J.; Masse, J.; Mayrose, I.; McCarthy, J.; McCormack, M.L.; McCulloh, K.; McFadden, I.R.; McGill, B.J.; McPartland, M.Y.; Medeiros, J.S.; Medlyn, B.; Meerts, P.; Mehrabi, Z.; Meir, P.; Melo, F.P.L.; Mencuccini, M.; Meredieu, C.; Messier, J.; Mészáros, I.; Metsaranta, J.; Michaletz, S.T.; Michelaki, C.; Migalina, S.; Milla, R.; Miller, J.E.D.; Minden, V.; Ming, R.; Mokany, K.; Moles, A.T.; Molnár, A., V; Molofsky, J.; Molz, M.; Montgomery, R.A.; Monty, A.; Moravcová, L.; Moreno-Martínez, A.; Moretti, M.; Mori, A.S.; Mori, S.; Morris, D.; Morrison, J.; Mucina, L.; Mueller, S.; Muir, C.D.; Müller, S.C.; Munoz, F.; Myers-Smith, I.H.; Myster, R.W.; Nagano, M.; Naidu, S.; Narayanan, A.; Natesan, B.; Negoita, L.; Nelson, A.S.; Neuschulz, E.L.; Ni, J.; Niedrist, G.; Nieto, J.; Niinemets, Ü.; Nolan, R.; Nottebrock, H.; Nouvellon, Y.; Novakovskiy, A.; Nystuen, K.O.; O'Grady, A.; O'Hara, K.; O'Reilly-Nugent, A.; Oakley, S.; Oberhuber, W.; Ohtsuka, T.; Oliveira, R.; Öllerer, K.; Olson, M.E.; Onipchenko, V.; Onoda, Y.; Onstein, R.E.; Ordonez, J.C.; Osada, N.; Ostonen, I.; Ottaviani, G.; Otto, S.; Overbeck, G.E.; Ozinga, W.A.; Pahl, A.T.; Paine, C.E.T.; Pakeman, R.J.; Papageorgiou, A.C.; Parfionova, E.; Pärtel, M.; Patacca, M.; Paula, S.; Paule, J.; Pauli, H.; Pausas, J.G.; Peco, B.; Penuelas, J.; Perea, A.; Peri, P.L.; Petisco-Souza, A.C.; Petraglia, A.; Petritan, A.M.; Phillips, O.L.; Pierce, S.; Pillar, V.D.; Pisek, J.; Pomogaybin, A.; Poorter, H.; Portsmuth, A.; Poschlod, P.; Potvin, C.; Pounds, D.; Powell, A.S.; Power, S.A.; Prinzing, A.; Puglielli, G.; Pyšek, P.; Raevel, V.; Rammig, A.; Ransijn, J.; Ray, C.A.; Reich, P.B.; Reichstein, M.; Reid, D.E.B.; Réjou-Méchain, M.; de Dios, V.R.; Ribeiro, S.; Richardson, S.; Riibak, K.; Rillig, M.C.; Riviera, F.; Robert, E.M.R.; Roberts, S.; Robroek, B.; Roddy, A.; Rodrigues, A.V.; Rogers, A.; Rollinson, E.; Rolo, V.; Römermann, C.; Ronzhina, D.; Roscher, C.; Rosell, J.A.; Rosenfield, M.F.; Rossi, C.; Roy, D.B.; Royer-Tardif, S.; Rüger, N.; Ruiz-Peinado, R.; Rumpf, S.B.; Rusch, G.M.; Ryo, M.; Sack, L.; Saldaña, A.; Salgado-Negret, B.; Salguero-Gomez, R.; Santa-Regina, I.; Santacruz-García, A.C.; Santos, J.; Sardans, J.; Schamp, B.; Scherer-Lorenzen, M.; Schleuning, M.; Schmid, B.; Schmidt, M.; Schmitt, S.; Schneider, J.V.; Schowanek, S.D.; Schrader, J.; Schrodt, F.; Schuldt, B.; Schurr, F.; Selaya Garvizu, G.; Semchenko, M.; Seymour, C.; Sfair, J.C.; Sharpe, J.M.; Sheppard, C.S.; Sheremetiev, S.; Shiodera, S.; Shipley, B.; Shovon, T.A.; Siebenkäs, A.; Sierra, C.; Silva, V.; Silva, M.; Sitzia, T.; Sjöman, H.; Slot, M.; Smith, N.G.; Sodhi, D.; Soltis, P.; Soltis, D.; Somers, B.; Sonnier, G.; Sørensen, M.V.; Sosinski, E.E., Jr.; Soudzilovskaia, N.A.; Souza, A.F.; Spasojevic, M.; Sperandii, M.G.; Stan, A.B.; Stegen, J.; Steinbauer, K.; Stephan, J.G.; Sterck, F.; Stojanovic, D.B.; Strydom, T.; Suarez, M.L.; Svenning, J.-C.; Svitková, I.; Svitok, M.; Svoboda, M.; Swaine, E.; Swenson, N.; Tabarelli, M.; Takagi, K.; Tappeiner, U.; Tarifa, R.; Tauugourdeau, S.; Tavsanoglu, C.; te Beest, M.; Tedersoo, L.; Thiffault, N.; Thom, D.; Thomas, E.; Thompson, K.; Thornton, P.E.; Thuiller, W.; Tichý, L.; Tissue, D.; Tjoelker, M.G.; Tng, D.Y.P.; Tobias, J.; Török, P.; Tarin, T.; Torres-Ruiz, J.M.; Tóthmérész, B.; Treurnicht, M.; Trivellone, V.; Trolliet, F.; Trotsiuk, V.; Tsakalos, J.L.; Tsiripidis, I.; Tysklind, N.; Umehara, T.; Usoltsev, V.; Vadeboncoeur, M.; Vaezi, J.; Valladares, F.; Vamosi, J.; van Bodegom, P.M.; van Breugel, M.; Van Cleemput, E.; van de Weg, M.; van der Merwe, S.; van der Plas, F.; van der Sande, M.T.; van Kleunen, M.; Van Meerbeek, K.; Vanderwel, M.; Vanselow, K.A.; Vårhammar, A.; Varone, L.; Vasquez Valderrama, M.Y.; Vassilev, K.; Vellend, M.; Veneklaas, E.J.; Verbeeck, H.; Verheyen, K.; Vibrans, A.; Vieira, I.; Villacís, J.; Violle, C.; Vivek, P.; Wagner, K.; Waldram, M.; Waldron, A.; Walker, A.P.; Waller, M.; Walther, G.; Wang, H.; Wang, F.; Wang, W.; Watkins, H.; Watkins, J.; Weber, U.; Weedon, J.T.; Wei, L.; Weigelt, P.; Weiher, E.; Wells, A.W.; Wellstein, C.; Wenk, E.; Westoby, M.; Westwood, A.; White, P.J.; Whitten, M.; Williams, M.; Winkler, D.E.; Winter, K.; Womack, C.; Wright, I.J.; Wright, S.J.; Wright, J.; Pinho, B.X.; Ximenes, F.; Yamada, T.; Yamaji, K.; Yanai, R.; Yankov, N.; Yguel, B.; Zanini, K.J.; Zanne, A.E.; Zelený, D.; Zhao, Y.-P.; Zheng, J.; Zheng, J.; Ziemińska, K.; Zirbel, C.R.; Zizka, G.; Zo-Bi, I.C.; Zotz, G.; Wirth, C.; The Nutrient Network | ||||
| Title | TRY plant trait database – enhanced coverage and open access | Type | Journal Article | ||
| Year | 2020 | Publication |
Global Change Biol. | Abbreviated Journal | Global Change Biol. |
| Volume | 26 | Issue | 1 | Pages | 119-188 |
| Keywords | data coverage; data integration; data representativeness; functional diversity; plant traits; TRY plant trait database; biodiversity; data processing; database; ecological modeling; environmental factor; growth; intraspecific competition; access to information; biodiversity; ecology; ecosystem; plant; Access to Information; Biodiversity; Ecology; Ecosystem; Plants | ||||
| Abstract | Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives. | ||||
| Address | Institute for Biology and Environmental Sciences, University Oldenburg, Oldenburg, Germany | ||||
| Corporate Author | Thesis | ||||
| Publisher | Blackwell Publishing Ltd | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 13541013 (Issn) | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | Approved | no | |||
| Call Number | EcoFoG @ webmaster @ | Serial | 918 | ||
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