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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 |
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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 |
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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. |
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Centro de Investigación y Promoción del Campesinado Norte Amazónico, Riberalta, Bolivia |
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Export Date: 1 September 2016 |
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EcoFoG @ webmaster @ |
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690 |
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Salas-Lopez, A.; Talaga, S.; Lalague, H. |
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The discovery of devil's gardens: An ant-plant mutualism in the cloud forests of the Eastern Amazon |
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Journal Article |
| Year |
2016 |
Publication |
Journal of Tropical Ecology |
Abbreviated Journal |
Journal of Tropical Ecology |
| Volume |
32 |
Issue |
3 |
Pages |
264-268 |
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ant-plant interactions; biogeography; cloud forest; Cordia nodosa; mutualism, Myrmelachista; refuge hypothesis |
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Devil's gardens are one of the most remarkable mutualistic associations between ants and plants. Myrmelachista ants eliminate all vegetation from around their host plants, resulting in wide forest clearings which have intrigued scientists from the start. Despite their noticeability, here we report the discovery of devil's gardens in remote highland cloud forests of the Eastern Amazon, more than 2000 km away from their nearest known analogues in Western Amazonia. We describe the ecological characteristics of these gardens and consider what factors could have produced the geographic isolation of Eastern Amazonian devil's gardens. Three hypotheses are investigated: (1) the host plant distribution restricts the distribution of the mutualism, (2) the ecological tolerances of Myrmelachista explain the isolation, and (3) the devil's gardens of the Eastern Amazon constitute relicts from ancient forest refugia. The distribution of the possible associated myrmecophytes and previously described ecological ranges of devil's gardens cannot explain their ecological restriction to cloud forests in Eastern Amazonia, but our discovery is consistent with the biogeographic refuge hypothesis (i.e. highlands along the Amazon Basin constitute refugia for humid forests that spread during the Cenozoic). Our finding opens exciting perspectives for comparative studies of the origin, ecology and evolutionary history of this ant-plant mutualism. Copyright © Cambridge University Press 2016. |
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INRA, UMR, EcoFoG, Campus Agronomique, BP 316, Kourou Cedex, France |
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Export Date: 1 September 2016 |
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EcoFoG @ webmaster @ |
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691 |
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Remy, C.C.; Fleury, M.; Beauchene, J.; Rivier, M.; Goli, T. |
| Title |
Analysis of PAH Residues and Amounts of Phenols in Fish Smoked with Woods Traditionally Used in French Guiana |
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Journal Article |
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2016 |
Publication |
Journal of Ethnobiology |
Abbreviated Journal |
Journal of Ethnobiology |
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36 |
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2 |
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312-325 |
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French Guiana; phenols; polycyclic aromatic hydrocarbons; smoked fish; traditional knowledge |
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Fish smoking with local wood species is a traditional practice in French Guiana. We evaluated the carcinogenic risk and the smoky taste in acoupa weakfish (Cynoscion acoupa) smoked by a small Guianese company specializing in fish smoking using local wood species. The goal of this study is to promote regional economic development by encouraging the establishment of small companies offering fish smoked with local wood species in agreement with the European health norms in terms of polycyclic aromatic hydrocarbon (PAH) content in smoked fish. The fish smoked with three species of wood traditionally used in French Guiana, Parinari campestris, Caesaria grandiflora, and Laetia procera, conformed to European standards for PAH content. Their phenol contents (correlated with the smoky taste) were close to smoked salmon, the reference in Europe. Given the low rate of extractable compounds in these woods, other flavors had little chance of predominating on the smoky taste. These three tropical wood species might be used for the production of cold smoked fish in compliance with European standards for PAH residues. The flavor and consumer's acceptance of the smoked fish should now be investigated to characterize the added typicity of local woods in comparison to the commonly used European woods. © 2016 Society of Ethnobiology. |
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4UMR Qualisud, CIRAD Persyst Bât, France |
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Export Date: 1 September 2016 |
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EcoFoG @ webmaster @ |
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692 |
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Fortunel, C.; Paine, C.E.T.; Fine, P.V.A.; Mesones, I.; Goret, J.; Burban, B.; Cazal, J.; Baraloto, C.; Comita, L. |
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There's no place like home: seedling mortality contributes to the habitat specialisation of tree species across Amazonia |
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Journal Article |
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2016 |
Publication |
Ecology Letters |
Abbreviated Journal |
Ecology Letters |
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19 |
Issue |
10 |
Pages |
1256-1266 |
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Amazon basin; forests habitats; habitat association; herbivory; light availability; plant lineages; rainfall temporal variation; seedling performance; soil fertility; tropical trees |
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Understanding the mechanisms generating species distributions remains a challenge, especially in hyperdiverse tropical forests. We evaluated the role of rainfall variation, soil gradients and herbivory on seedling mortality, and how variation in seedling performance along these gradients contributes to habitat specialisation. In a 4-year experiment, replicated at the two extremes of the Amazon basin, we reciprocally transplanted 4638 tree seedlings of 41 habitat-specialist species from seven phylogenetic lineages among the three most important forest habitats of lowland Amazonia. Rainfall variation, flooding and soil gradients strongly influenced seedling mortality, whereas herbivory had negligible impact. Seedling mortality varied strongly among habitats, consistent with predictions for habitat specialists in most lineages. This suggests that seedling performance is a primary determinant of the habitat associations of adult trees across Amazonia. It further suggests that tree diversity, currently mostly harboured in terra firme forests, may be strongly impacted by the predicted climate changes in Amazonia. © 2016 John Wiley & Sons Ltd/CNRS |
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Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, United States |
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Export Date: 27 October 2016 |
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EcoFoG @ webmaster @ |
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698 |
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Fayad, I.; Baghdadi, N.; Guitet, S.; Bailly, J.-S.; Herault, B.; Gond, V.; El Hajj, M.; Tong Minh, D.H. |
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Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data |
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Journal Article |
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2016 |
Publication |
International Journal of Applied Earth Observation and Geoinformation |
Abbreviated Journal |
International Journal of Applied Earth Observation and Geoinformation |
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52 |
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502-514 |
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Aboveground biomass mapping; Forests; French Guiana; ICESat GLAS; LiDAR |
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Mapping forest aboveground biomass (AGB) has become an important task, particularly for the reporting of carbon stocks and changes. AGB can be mapped using synthetic aperture radar data (SAR) or passive optical data. However, these data are insensitive to high AGB levels (>150 Mg/ha, and >300 Mg/ha for P-band), which are commonly found in tropical forests. Studies have mapped the rough variations in AGB by combining optical and environmental data at regional and global scales. Nevertheless, these maps cannot represent local variations in AGB in tropical forests. In this paper, we hypothesize that the problem of misrepresenting local variations in AGB and AGB estimation with good precision occurs because of both methodological limits (signal saturation or dilution bias) and a lack of adequate calibration data in this range of AGB values. We test this hypothesis by developing a calibrated regression model to predict variations in high AGB values (mean >300 Mg/ha) in French Guiana by a methodological approach for spatial extrapolation with data from the optical geoscience laser altimeter system (GLAS), forest inventories, radar, optics, and environmental variables for spatial inter- and extrapolation. Given their higher point count, GLAS data allow a wider coverage of AGB values. We find that the metrics from GLAS footprints are correlated with field AGB estimations (R2 = 0.54, RMSE = 48.3 Mg/ha) with no bias for high values. First, predictive models, including remote-sensing, environmental variables and spatial correlation functions, allow us to obtain “wall-to-wall” AGB maps over French Guiana with an RMSE for the in situ AGB estimates of ∼50 Mg/ha and R2 = 0.66 at a 1-km grid size. We conclude that a calibrated regression model based on GLAS with dependent environmental data can produce good AGB predictions even for high AGB values if the calibration data fit the AGB range. We also demonstrate that small temporal and spatial mismatches between field data and GLAS footprints are not a problem for regional and global calibrated regression models because field data aim to predict large and deep tendencies in AGB variations from environmental gradients and do not aim to represent high but stochastic and temporally limited variations from forest dynamics. Thus, we advocate including a greater variety of data, even if less precise and shifted, to better represent high AGB values in global models and to improve the fitting of these models for high values. © 2016 Elsevier B.V. |
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NOVELTIS, 153 rue du Lac, Labège, France |
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Export Date: 9 December 2016 |
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EcoFoG @ webmaster @ |
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699 |
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Alméras, T.; Gronvold, A.; van der Lee, A.; Clair, B.; Montero, C. |
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Contribution of cellulose to the moisture-dependent elastic behaviour of wood |
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Journal Article |
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2017 |
Publication |
Composites Science and Technology |
Abbreviated Journal |
Composites Science and Technology |
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138 |
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151-160 |
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Cellulose; Crystal strain; Micromechanics; Wood; X-ray diffraction |
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Wood has a hierarchical structure involving several levels of organisation. The stiffness of wood relies on its capacity to transfer mechanical stress to its stiffest element at the lowest scale, namely crystalline cellulose. This study aims at quantifying to what extend crystalline cellulose contributes to wood stiffness depending on its moisture content. The crystal strains of cellulose were measured using X-ray diffraction on wet and dry specimens of spruce, based on a previously published methodology. The comparison between crystal strain and macroscopic strain shows that, during elastic loading, cellulose strain is lower than macroscopic strain. The means ratio of crystal/macroscopic strain amounts 0.85 for dry specimens and 0.64 for wet specimens. This strain ratio cannot be explained just by the projection effect due to the difference in orientation between cellulose microfibrils and cell wall, but results from deformation mechanisms in series with cellulose. Analysis shows that this series contribution represents a non-negligible contribution to wood compliance and is strongly moisture-dependent. This contribution amounts 9% for dry specimens and 33% for wet specimens, corresponding to a 4-fold increase in compliance for the series contribution. The origin of these strains is ascribed to mechanisms involving bending or shear strain at different scales, due to the fact that reinforcing element are neither perfectly straight nor infinitely long. © 2016 |
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CNRS, UMR Ecologie des Forêts de Guyane (EcoFoG), AgroParisTech, Cirad, INRA, Université des Antilles, Université de Guyane, Kourou, France |
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Export Date: 26 December 2016 |
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EcoFoG @ webmaster @ |
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701 |
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Liang, J.; Crowther, T.W.; Picard, N.; Wiser, S.; Zhou, M.; Alberti, G.; Schulze, E.-D.; McGuire, A.D.; Bozzato, F.; Pretzsch, H.; de-Miguel, S.; Paquette, A.; Herault, B.; Scherer-Lorenzen, M.; Barrett, C.B.; Glick, H.B.; Hengeveld, G.M.; Nabuurs, G.-J.; Pfautsch, S.; Viana, H.; Vibrans, A.C.; Ammer, C.; Schall, P.; Verbyla, D.; Tchebakova, N.; Fischer, M.; Watson, J.V.; Chen, H.Y.H.; Lei, X.; Schelhaas, M.-J.; Lu, H.; Gianelle, D.; Parfenova, E.I.; Salas, C.; Lee, E.; Lee, B.; Kim, H.S.; Bruelheide, H.; Coomes, D.A.; Piotto, D.; Sunderland, T.; Schmid, B.; Gourlet-Fleury, S.; Sonké, B.; Tavani, R.; Zhu, J.; Brandl, S.; Vayreda, J.; Kitahara, F.; Searle, E.B.; Neldner, V.J.; Ngugi, M.R.; Baraloto, C.; Frizzera, L.; Bałazy, R.; Oleksyn, J.; Zawiła-Niedźwiecki, T.; Bouriaud, O.; Bussotti, F.; Finér, L.; Jaroszewicz, B.; Jucker, T.; Valladares, F.; Jagodzinski, A.M.; Peri, P.L.; Gonmadje, C.; Marthy, W.; O’Brien, T.; Martin, E.H.; Marshall, A.R.; Rovero, F.; Bitariho, R.; Niklaus, P.A.; Alvarez-Loayza, P.; Chamuya, N.; Valencia, R.; Mortier, F.; Wortel, V.; Engone-Obiang, N.L.; Ferreira, L.V.; Odeke, D.E.; Vasquez, R.M.; Lewis, S.L.; Reich, P.B. |
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Positive biodiversity-productivity relationship predominant in global forests |
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Journal Article |
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2016 |
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Science |
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354 |
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6309 |
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The relationship between biodiversity and ecosystem productivity has been explored in detail in herbaceous vegetation, but patterns in forests are far less well understood. Liang et al. have amassed a global forest data set from >770,000 sample plots in 44 countries. A positive and consistent relationship can be discerned between tree diversity and ecosystem productivity at landscape, country, and ecoregion scales. On average, a 10% loss in biodiversity leads to a 3% loss in productivity. This means that the economic value of maintaining biodiversity for the sake of global forest productivity is more than fivefold greater than global conservation costs.Science, this issue p. 196INTRODUCTIONThe biodiversity-productivity relationship (BPR; the effect of biodiversity on ecosystem productivity) is foundational to our understanding of the global extinction crisis and its impacts on the functioning of natural ecosystems. The BPR has been a prominent research topic within ecology in recent decades, but it is only recently that we have begun to develop a global perspective.RATIONALEForests are the most important global repositories of terrestrial biodiversity, but deforestation, forest degradation, climate change, and other factors are threatening approximately one half of tree species worldwide. Although there have been substantial efforts to strengthen the preservation and sustainable use of forest biodiversity throughout the globe, the consequences of this diversity loss pose a major uncertainty for ongoing international forest management and conservation efforts. The forest BPR represents a critical missing link for accurate valuation of global biodiversity and successful integration of biological conservation and socioeconomic development. Until now, there have been limited tree-based diversity experiments, and the forest BPR has only been explored within regional-scale observational studies. Thus, the strength and spatial variability of this relationship remains unexplored at a global scale.RESULTSWe explored the effect of tree species richness on tree volume productivity at the global scale using repeated forest inventories from 777,126 permanent sample plots in 44 countries containing more than 30 million trees from 8737 species spanning most of the global terrestrial biomes. Our findings reveal a consistent positive concave-down effect of biodiversity on forest productivity across the world, showing that a continued biodiversity loss would result in an accelerating decline in forest productivity worldwide.The BPR shows considerable geospatial variation across the world. The same percentage of biodiversity loss would lead to a greater relative (that is, percentage) productivity decline in the boreal forests of North America, Northeastern Europe, Central Siberia, East Asia, and scattered regions of South-central Africa and South-central Asia. In the Amazon, West and Southeastern Africa, Southern China, Myanmar, Nepal, and the Malay Archipelago, however, the same percentage of biodiversity loss would lead to greater absolute productivity decline.CONCLUSIONOur findings highlight the negative effect of biodiversity loss on forest productivity and the potential benefits from the transition of monocultures to mixed-species stands in forestry practices. The BPR we discover across forest ecosystems worldwide corresponds well with recent theoretical advances, as well as with experimental and observational studies on forest and nonforest ecosystems. On the basis of this relationship, the ongoing species loss in forest ecosystems worldwide could substantially reduce forest productivity and thereby forest carbon absorption rate to compromise the global forest carbon sink. We further estimate that the economic value of biodiversity in maintaining commercial forest productivity alone is $166 billion to $490 billion per year. Although representing only a small percentage of the total value of biodiversity, this value is two to six times as much as it would cost to effectively implement conservation globally. These results highlight the necessity to reassess biodiversity valuation and the potential benefits of integrating and promoting biological conservation in forest resource management and forestry practices worldwide.Global effect of tree species diversity on forest productivity.Ground-sourced data from 777,126 global forest biodiversity permanent sample plots (dark blue dots, left), which cover a substantial portion of the global forest extent (white), reveal a consistent positive and concave-down biodiversity-productivity relationship across forests worldwide (red line with pink bands representing 95% confidence interval, right).The biodiversity-productivity relationship (BPR) is foundational to our understanding of the global extinction crisis and its impacts on ecosystem functioning. Understanding BPR is critical for the accurate valuation and effective conservation of biodiversity. Using ground-sourced data from 777,126 permanent plots, spanning 44 countries and most terrestrial biomes, we reveal a globally consistent positive concave-down BPR, showing that continued biodiversity loss would result in an accelerating decline in forest productivity worldwide. The value of biodiversity in maintaining commercial forest productivity alone—US$166 billion to 490 billion per year according to our estimation—is more than twice what it would cost to implement effective global conservation. This highlights the need for a worldwide reassessment of biodiversity values, forest management strategies, and conservation priorities. |
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Marcon, E.; Puech, F. |
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A typology of distance-based measures of spatial concentration |
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2017 |
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Regional Science and Urban Economics |
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Regional Science and Urban Economics |
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62 |
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56-67 |
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Agglomeration; Aggregation; Economic geography; Point patterns; Spatial concentration |
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Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework. © 2016 Elsevier B.V. |
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RITM, Univ. Paris-Sud, CREST, Université Paris-Saclay, Sceaux, France |
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Export Date: 17 January 2017 |
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Hudson, L.N.; Newbold, T.; Contu, S.; Hill, S.L.L.; Lysenko, I.; De Palma, A.; Phillips, H.R.P.; Alhusseini, T.I.; Bedford, F.E.; Bennett, D.J.; Booth, H.; Burton, V.J.; Chng, C.W.T.; Choimes, A.; Correia, D.L.P.; Day, J.; Echeverría-Londoño, S.; Emerson, S.R.; Gao, D.; Garon, M.; Harrison, M.L.K.; Ingram, D.J.; Jung, M.; Kemp, V.; Kirkpatrick, L.; Martin, C.D.; Pan, Y.; Pask-Hale, G.D.; Pynegar, E.L.; Robinson, A.N.; Sanchez-Ortiz, K.; Senior, R.A.; Simmons, B.I.; White, H.J.; Zhang, H.; Aben, J.; Abrahamczyk, S.; Adum, G.B.; Aguilar-Barquero, V.; Aizen, M.A.; Albertos, B.; Alcala, E.L.; del Mar Alguacil, M.; Alignier, A.; Ancrenaz, M.; Andersen, A.N.; Arbeláez-Cortés, E.; Armbrecht, I.; Arroyo-Rodríguez, V.; Aumann, T.; Axmacher, J.C.; Azhar, B.; Azpiroz, A.B.; Baeten, L.; Bakayoko, A.; Báldi, A.; Banks, J.E.; Baral, S.K.; Barlow, J.; Barratt, B.I.P.; Barrico, L.; Bartolommei, P.; Barton, D.M.; Basset, Y.; Batáry, P.; Bates, A.J.; Baur, B.; Bayne, E.M.; Beja, P.; Benedick, S.; Berg, Å.; Bernard, H.; Berry, N.J.; Bhatt, D.; Bicknell, J.E.; Bihn, J.H.; Blake, R.J.; Bobo, K.S.; Bóçon, R.; Boekhout, T.; Böhning-Gaese, K.; Bonham, K.J.; Borges, P.A.V.; Borges, S.H.; Boutin, C.; Bouyer, J.; Bragagnolo, C.; Brandt, J.S.; Brearley, F.Q.; Brito, I.; Bros, V.; Brunet, J.; Buczkowski, G.; Buddle, C.M.; Bugter, R.; Buscardo, E.; Buse, J.; Cabra-García, J.; Cáceres, N.C.; Cagle, N.L.; Calviño-Cancela, M.; Cameron, S.A.; Cancello, E.M.; Caparrós, R.; Cardoso, P.; Carpenter, D.; Carrijo, T.F.; Carvalho, A.L.; Cassano, C.R.; Castro, H.; Castro-Luna, A.A.; Rolando, C.B.; Cerezo, A.; Chapman, K.A.; Chauvat, M.; Christensen, M.; Clarke, F.M.; Cleary, D.F.R.; Colombo, G.; Connop, S.P.; Craig, M.D.; Cruz-López, L.; Cunningham, S.A.; D'Aniello, B.; D'Cruze, N.; da Silva, P.G.; Dallimer, M.; Danquah, E.; Darvill, B.; Dauber, J.; Davis, A.L.V.; Dawson, J.; de Sassi, C.; de Thoisy, B.; Deheuvels, O.; Dejean, A.; Devineau, J.-L.; Diekötter, T.; Dolia, J.V.; Domínguez, E.; Dominguez-Haydar, Y.; Dorn, S.; Draper, I.; Dreber, N.; Dumont, B.; Dures, S.G.; Dynesius, M.; Edenius, L.; Eggleton, P.; Eigenbrod, F.; Elek, Z.; Entling, M.H.; Esler, K.J.; de Lima, R.F.; Faruk, A.; Farwig, N.; Fayle, T.M.; Felicioli, A.; Felton, A.M.; Fensham, R.J.; Fernandez, I.C.; Ferreira, C.C.; Ficetola, G.F.; Fiera, C.; Filgueiras, B.K.C.; Fırıncıoğlu, H.K.; Flaspohler, D.; Floren, A.; Fonte, S.J.; Fournier, A.; Fowler, R.E.; Franzén, M.; Fraser, L.H.; Fredriksson, G.M.; Freire, G.B., Jr.; Frizzo, T.L.M.; Fukuda, D.; Furlani, D.; Gaigher, R.; Ganzhorn, J.U.; García, K.P.; Garcia-R, J.C.; Garden, J.G.; Garilleti, R.; Ge, B.-M.; Gendreau-Berthiaume, B.; Gerard, P.J.; Gheler-Costa, C.; Gilbert, B.; Giordani, P.; Giordano, S.; Golodets, C.; Gomes, L.G.L.; Gould, R.K.; Goulson, D.; Gove, A.D.; Granjon, L.; Grass, I.; Gray, C.L.; Grogan, J.; Gu, W.; Guardiola, M.; Gunawardene, N.R.; Gutierrez, A.G.; Gutiérrez-Lamus, D.L.; Haarmeyer, D.H.; Hanley, M.E.; Hanson, T.; Hashim, N.R.; Hassan, S.N.; Hatfield, R.G.; Hawes, J.E.; Hayward, M.W.; Hébert, C.; Helden, A.J.; Henden, J.-A.; Henschel, P.; Hernández, L.; Herrera, J.P.; Herrmann, F.; Herzog, F.; Higuera-Diaz, D.; Hilje, B.; Höfer, H.; Hoffmann, A.; Horgan, F.G.; Hornung, E.; Horváth, R.; Hylander, K.; Isaacs-Cubides, P.; Ishida, H.; Ishitani, M.; Jacobs, C.T.; Jaramillo, V.J.; Jauker, B.; Hernández, F.J.; Johnson, M.F.; Jolli, V.; Jonsell, M.; Juliani, S.N.; Jung, T.S.; Kapoor, V.; Kappes, H.; Kati, V.; Katovai, E.; Kellner, K.; Kessler, M.; Kirby, K.R.; Kittle, A.M.; Knight, M.E.; Knop, E.; Kohler, F.; Koivula, M.; Kolb, A.; Kone, M.; Kőrösi, Á.; Krauss, J.; Kumar, A.; Kumar, R.; Kurz, D.J.; Kutt, A.S.; Lachat, T.; Lantschner, V.; Lara, F.; Lasky, J.R.; Latta, S.C.; Laurance, W.F.; Lavelle, P.; Le Féon, V.; LeBuhn, G.; Légaré, J.-P.; Lehouck, V.; Lencinas, M.V.; Lentini, P.E.; Letcher, S.G.; Li, Q.; Litchwark, S.A.; Littlewood, N.A.; Liu, Y.; Lo-Man-Hung, N.; López-Quintero, C.A.; Louhaichi, M.; Lövei, G.L.; Lucas-Borja, M.E.; Luja, V.H.; Luskin, M.S.; MacSwiney G, M.C.; Maeto, K.; Magura, T.; Mallari, N.A.; Malone, L.A.; Malonza, P.K.; Malumbres-Olarte, J.; Mandujano, S.; Måren, I.E.; Marin-Spiotta, E.; Marsh, C.J.; Marshall, E.J.P.; Martínez, E.; Martínez Pastur, G.; Moreno Mateos, D.; Mayfield, M.M.; Mazimpaka, V.; McCarthy, J.L.; McCarthy, K.P.; McFrederick, Q.S.; McNamara, S.; Medina, N.G.; Medina, R.; Mena, J.L.; Mico, E.; Mikusinski, G.; Milder, J.C.; Miller, J.R.; Miranda-Esquivel, D.R.; Moir, M.L.; Morales, C.L.; Muchane, M.N.; Muchane, M.; Mudri-Stojnic, S.; Munira, A.N.; Muoñz-Alonso, A.; Munyekenye, B.F.; Naidoo, R.; Naithani, A.; Nakagawa, M.; Nakamura, A.; Nakashima, Y.; Naoe, S.; Nates-Parra, G.; Navarrete Gutierrez, D.A.; Navarro-Iriarte, L.; Ndang'ang'a, P.K.; Neuschulz, E.L.; Ngai, J.T.; Nicolas, V.; Nilsson, S.G.; Noreika, N.; Norfolk, O.; Noriega, J.A.; Norton, D.A.; Nöske, N.M.; Nowakowski, A.J.; Numa, C.; O'Dea, N.; O'Farrell, P.J.; Oduro, W.; Oertli, S.; Ofori-Boateng, C.; Oke, C.O.; Oostra, V.; Osgathorpe, L.M.; Otavo, S.E.; Page, N.V.; Paritsis, J.; Parra-H, A.; Parry, L.; Pe'er, G.; Pearman, P.B.; Pelegrin, N.; Pélissier, R.; Peres, C.A.; Peri, P.L.; Persson, A.S.; Petanidou, T.; Peters, M.K.; Pethiyagoda, R.S.; Phalan, B.; Philips, T.K.; Pillsbury, F.C.; Pincheira-Ulbrich, J.; Pineda, E.; Pino, J.; Pizarro-Araya, J.; Plumptre, A.J.; Poggio, S.L.; Politi, N.; Pons, P.; Poveda, K.; Power, E.F.; Presley, S.J.; Proença, V.; Quaranta, M.; Quintero, C.; Rader, R.; Ramesh, B.R.; Ramirez-Pinilla, M.P.; Ranganathan, J.; Rasmussen, C.; Redpath-Downing, N.A.; Reid, J.L.; Reis, Y.T.; Rey Benayas, J.M.; Rey-Velasco, J.C.; Reynolds, C.; Ribeiro, D.B.; Richards, M.H.; Richardson, B.A.; Richardson, M.J.; Ríos, R.M.; Robinson, R.; Robles, C.A.; Römbke, J.; Romero-Duque, L.P.; Rös, M.; Rosselli, L.; Rossiter, S.J.; Roth, D.S.; Roulston, T.H.; Rousseau, L.; Rubio, A.V.; Ruel, J.-C.; Sadler, J.P.; Sáfián, S.; Saldaña-Vázquez, R.A.; Sam, K.; Samnegård, U.; Santana, J.; Santos, X.; Savage, J.; Schellhorn, N.A.; Schilthuizen, M.; Schmiedel, U.; Schmitt, C.B.; Schon, N.L.; Schüepp, C.; Schumann, K.; Schweiger, O.; Scott, D.M.; Scott, K.A.; Sedlock, J.L.; Seefeldt, S.S.; Shahabuddin, G.; Shannon, G.; Sheil, D.; Sheldon, F.H.; Shochat, E.; Siebert, S.J.; Silva, F.A.B.; Simonetti, J.A.; Slade, E.M.; Smith, J.; Smith-Pardo, A.H.; Sodhi, N.S.; Somarriba, E.J.; Sosa, R.A.; Soto Quiroga, G.; St-Laurent, M.-H.; Starzomski, B.M.; Stefanescu, C.; Steffan-Dewenter, I.; Stouffer, P.C.; Stout, J.C.; Strauch, A.M.; Struebig, M.J.; Su, Z.; Suarez-Rubio, M.; Sugiura, S.; Summerville, K.S.; Sung, Y.-H.; Sutrisno, H.; Svenning, J.-C.; Teder, T.; Threlfall, C.G.; Tiitsaar, A.; Todd, J.H.; Tonietto, R.K.; Torre, I.; Tóthmérész, B.; Tscharntke, T.; Turner, E.C.; Tylianakis, J.M.; Uehara-Prado, M.; Urbina-Cardona, N.; Vallan, D.; Vanbergen, A.J.; Vasconcelos, H.L.; Vassilev, K.; Verboven, H.A.F.; Verdasca, M.J.; Verdú, J.R.; Vergara, C.H.; Vergara, P.M.; Verhulst, J.; Virgilio, M.; Vu, L.V.; Waite, E.M.; Walker, T.R.; Wang, H.-F.; Wang, Y.; Watling, J.I.; Weller, B.; Wells, K.; Westphal, C.; Wiafe, E.D.; Williams, C.D.; Willig, M.R.; Woinarski, J.C.Z.; Wolf, J.H.D.; Wolters, V.; Woodcock, B.A.; Wu, J.; Wunderle, J.M., Jr.; Yamaura, Y.; Yoshikura, S.; Yu, D.W.; Zaitsev, A.S.; Zeidler, J.; Zou, F.; Collen, B.; Ewers, R.M.; Mace, G.M.; Purves, D.W.; Scharlemann, J.P.W.; Purvis, A. |
| Title |
The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project |
Type |
Journal Article |
| Year |
2017 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
Ecology and Evolution |
| Volume |
7 |
Issue |
1 |
Pages |
145-188 |
| Keywords |
data sharing; global biodiversity modeling; global change; habitat destruction; land use |
| Abstract |
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity. © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. |
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Computational Ecology and Environmental Science, Microsoft Research, Cambridge, United Kingdom |
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Export Date: 17 January 2017 |
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EcoFoG @ webmaster @ |
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705 |
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De Souza, F.C.; Dexter, K.G.; Phillips, O.L.; Brienen, R.J.W.; Chave, J.; Galbraith, D.R.; Gonzalez, G.L.; Mendoza, A.M.; Toby Pennington, R.; Poorter, L.; Alexiades, M.; Álvarez-Dávila, E.; Andrade, A.; Aragão, L.E.O.C.; Araujo-Murakami, A.; Arets, E.J.M.M.; Aymard C., G.A.; Baraloto, C.; Barroso, J.G.; Bonal, D.; Boot, R.G.A.; Camargo, J.L.C.; Comiskey, J.A.; Valverde, F.C.; De Camargo, P.B.; Di Fiore, A.; Elias, F.; Erwin, T.L.; Feldpausch, T.R.; Ferreira, L.; Fyllas, N.M.; Gloor, E.; Herault, B.; Herrera, R.; Higuchi, N.; Coronado, E.N.H.; Killeen, T.J.; Laurance, W.F.; Laurance, S.; Lloyd, J.; Lovejoy, T.E.; Malhi, Y.; Maracahipes, L.; Marimon, B.S.; Marimon-Junior, B.H.; Mendoza, C.; Morandi, P.; Neill, D.A.; Vargas, P.N.; Oliveira, E.A.; Lenza, E.; Palacios, W.A.; Peñuela-Mora, M.C.; Pipoly, J.J., III; Pitman, N.C.A.; Prieto, A.; Quesada, C.A.; Ramirez-Angulo, H.; Rudas, A.; Ruokolainen, K.; Salomão, R.P.; Silveira, M.; Stropp, J.; Steege, H.T.; Thomas-Caesar, R.; Van Der Hout, P.; Van Der Heijden, G.M.F.; Van Der Meer, P.J.; Vasquez, R.V.; Vieira, S.A.; Vilanova, E.; Vos, V.A.; Wang, O.; Young, K.R.; Zagt, R.J.; Baker, T.R. |
| Title |
Evolutionary heritage influences amazon tree ecology |
Type |
Journal Article |
| Year |
2016 |
Publication |
Proceedings of the Royal Society B: Biological Sciences |
Abbreviated Journal |
Proceedings of the Royal Society B: Biological Sciences |
| Volume |
283 |
Issue |
20161587 |
Pages |
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| Keywords |
Convergent evolution; Divergent selection; Phylogenetic signal; Trait; Tropical tree |
| Abstract |
Lineages tend to retain ecological characteristics of their ancestors through time. However, for some traits, selection during evolutionary history may have also played a role in determining trait values. To address the relative importance of these processes requires large-scale quantification of traits and evolutionary relationships among species. The Amazonian tree flora comprises a high diversity of angiosperm lineages and species with widely differing life-history characteristics, providing an excellent system to investigate the combined influences of evolutionary heritage and selection in determining trait variation. We used trait data related to the major axes of life-history variation among tropical trees (e.g. growth and mortality rates) from 577 inventory plots in closed-canopy forest, mapped onto a phylogenetic hypothesis spanning more than 300 genera including all major angiosperm clades to test for evolutionary constraints on traits. We found significant phylogenetic signal (PS) for all traits, consistent with evolutionarily related genera having more similar characteristics than expected by chance. Although there is also evidence for repeated evolution of pioneer and shade tolerant lifehistory strategies within independent lineages, the existence of significant PS allows clearer predictions of the links between evolutionary diversity, ecosystem function and the response of tropical forests to global change. © 2016 The Authors. |
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Department of Geography and the Environment, University of Texas at Austin, Austin, TX, United States |
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Export Date: 17 January 2017 |
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EcoFoG @ webmaster @ |
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706 |
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