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  • 1
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Charcoal; Classical age-modeling approach, CLAM (Blaauw, 2010); DEPTH, sediment/rock; Pacucha; Sample ID; Type of age model; Unit
    Type: Dataset
    Format: text/tab-separated-values, 687 data points
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  • 2
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Acaena/Polylepis; Acalypha; Accumulation model; ACER; Alchornea; Alnus; Alternanthera; Amaranthaceae; Ambrosia; Anacardiaceae; Apiaceae; Asteraceae; Bocconia; Brassicaceae; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Campanulaceae; Caryophyllaceae; Cecropia/Coussapoa; Celtis; Classical age-modeling approach, CLAM (Blaauw, 2010); Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Dodonaea; Ericaceae; Fabaceae; Gomphrena; Hedyosmum; Isoetes; Juglans; Lysipoma; Melastomataceae; Moraceae/Urticaceae; Myricaceae; Myriophyllum; Myrsinaceae; Myrtaceae; Pacucha; Plantago; Poaceae; Podocarpus; Prosopis-type; Rubiaceae; Rumex-type; Sample ID; Solanaceae; Thalictrum; Trema; Type of age model; Valerianaceae; Vallea; Weinmannia
    Type: Dataset
    Format: text/tab-separated-values, 7455 data points
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  • 3
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Acaena/Polylepis; Acalypha; Accumulation model; ACER; Alchornea; Alibertia; Alnus; Amanoa; Anacardiaceae; Aniseia; Annonaceae; Apeiba; Apocynaceae; Ardisia; Arecaceae; Aspidosperma-type; Astronium; Begonia; Bignoniaceae; Bocconia; Bombacaceae; Burseraceae; Byttneria; Caesalpiniaceae; Calandrinia; Calceolaria; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Carapa; Caryophyllaceae; Casearia; Cecropia; Cedrela; Celtis; Cestrum; cf. Heliotropium/Lafoenisia; Chamaesyce; Chrysobalanaceae; Cissus; Citrus; Classical age-modeling approach, CLAM (Blaauw, 2010); Clethra; Clusiaceae; Cochlospermum; Combretaceae/Melastomataceae; Connaraceae; Cordia; Costus; Counting, palynology; Croton; Cucurbitaceae; Cupania; Dalechampia; Daphnopsis; Dendropanax; DEPTH, sediment/rock; Desmodium; Dictyocaryum; Didymopanax; Diploon; Doliocarpus; Duroia; Elaeocarpaceae; Ericaceae; Erythroxylum; Eschweilera; Eugenia; Euphorbiaceae; Euterpe; Fabaceae; Ficus; Flacourtiaceae; Forsteronia-type; Gaiadendron; Genipa; Gentianaceae; Geonoma; Gomphrena; Gordonia; Hedyosmum; Heliocarpus; Hyeronima; Ilex; Inga; Iresine; Iriartea; Juglans; Justicia; Lake_Consuelo_CON1; lecythidaceae; Lepidocaryum-type; Loganiaceae; Loranthaceae; Ludwigia; Luehea; Mabea; Machaerium; Malpighiaceae; Malvaceae; Marcgraviaceae-type; Margaritaria; Mauritia; Meliaceae; Menispermaceae; Mimosa; Monnina; Moraceae/Urticaceae; Muntingia; Myrica; Myristicaceae; Myrsine; Myrtaceae; Ochnaceae; Oenocarpus; Onagraceae; Parahancornia; Paullinia; Phyllanthus; Phytelephas-type; Poaceae; Podocarpus; Polygalaceae; Proteaceae; Protium; Puya; Ranunculus; Rhamnaceae; Rosaceae; Rubiaceae; Salix-type; Sample ID; Sapindaceae; Sapium; Sapotaceae; Scrophulariaceae; Sebastiania; Serjania; Sloanea; Solanaceae; Spermacoce; Spondias; Sterculiaceae; Struthanthus; Symmeria; Symphonia; Symplocos; Tabebuia; Tapirira; Tetrapterys; Thalictrum; Tiliaceae; Tournefortia; Tovomita; Trema; Trichilia-type; Triumfetta; Type of age model; Uncaria; Unknown; Valerianaceae; Vallea; Vantanea; Verbenaceae; Virola; Vismia; Vochysia; Waltheria; Warszewiczia; Weinmannia; Ximenia-type; Zanthoxylum
    Type: Dataset
    Format: text/tab-separated-values, 18036 data points
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  • 4
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Acaena/Polylepis; Acalypha; ACER; Alchornea; Alibertia; Alnus; Amanoa; Anacardiaceae; Aniseia; Annonaceae; Apeiba; Apocynaceae; Ardisia; Arecaceae; Aspidosperma-type; Astronium; Begonia; Bignoniaceae; Bocconia; Bombacaceae; Burseraceae; Byttneria; Caesalpiniaceae; Calandrinia; Calceolaria; Carapa; Caryophyllaceae; Casearia; Cecropia; Cedrela; Celtis; Cestrum; cf. Heliotropium/Lafoenisia; Chamaesyce; Chrysobalanaceae; Cissus; Citrus; Clethra; Clusiaceae; Cochlospermum; Combretaceae/Melastomataceae; Connaraceae; Cordia; Costus; Counting, palynology; Croton; Cucurbitaceae; Cupania; Dalechampia; Daphnopsis; Dendropanax; DEPTH, sediment/rock; Desmodium; Dictyocaryum; Didymopanax; Diploon; Doliocarpus; Duroia; Elaeocarpaceae; Ericaceae; Erythroxylum; Eschweilera; Eugenia; Euphorbiaceae; Euterpe; Fabaceae; Ficus; Flacourtiaceae; Forsteronia-type; Gaiadendron; Genipa; Gentianaceae; Geonoma; Gomphrena; Gordonia; Hedyosmum; Heliocarpus; Hyeronima; Ilex; Inga; Iresine; Iriartea; Juglans; Justicia; Lake_Consuelo_CON2; lecythidaceae; Lepidocaryum-type; Loganiaceae; Loranthaceae; Ludwigia; Luehea; Mabea; Machaerium; Malpighiaceae; Malvaceae; Marcgraviaceae-type; Margaritaria; Mauritia; Meliaceae; Menispermaceae; Mimosa; Monnina; Moraceae/Urticaceae; Muntingia; Myrica; Myristicaceae; Myrsine; Myrtaceae; Ochnaceae; Oenocarpus; Onagraceae; Parahancornia; Paullinia; Phyllanthus; Phytelephas-type; Poaceae; Podocarpus; Polygalaceae; Proteaceae; Protium; Puya; Ranunculus; Rhamnaceae; Rosaceae; Rubiaceae; Salix-type; Sample ID; Sapindaceae; Sapium; Sapotaceae; Scrophulariaceae; Sebastiania; Serjania; Sloanea; Solanaceae; Spermacoce; Spondias; Sterculiaceae; Struthanthus; Symmeria; Symphonia; Symplocos; Tabebuia; Tapirira; Tetrapterys; Thalictrum; Tiliaceae; Tournefortia; Tovomita; Trema; Trichilia-type; Triumfetta; Uncaria; Unknown; Valerianaceae; Vallea; Vantanea; Verbenaceae; Virola; Vismia; Vochysia; Waltheria; Warszewiczia; Weinmannia; Ximenia-type; Zanthoxylum
    Type: Dataset
    Format: text/tab-separated-values, 3077 data points
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  • 5
    Publication Date: 2024-01-31
    Description: Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we \nmapped tree species-diversity and tree species-richness at 0.1-degree resolution, and \ninvestigated drivers for diversity and richness. Using only location, stratified by forest type, as \npredictor, our spatial model, to the best of our knowledge, provides the most accurate map of \ntree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and \nspecies-richness. Large soil-forest combinations determine a significant percentage of the \nvariation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We \nsuggest that the size and fragmentation of these systems drive their large-scale diversity \npatterns and hence local diversity. A model not using location but cumulative water deficit, \ntree density, and temperature seasonality explains 47% of the tree species-richness in the \nterra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual \nvariation may be local. The Guyana Shield area has consistently negative residuals, showing \nthat this area has lower tree species-richness than expected by our models. We provide \nextensive plot meta-data, including tree density, tree alpha-diversity and tree speciesrichness results and gridded maps at 0.1-degree resolution.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 6
    Publication Date: 2024-03-31
    Description: Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2= 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2= 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (〉66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions.
    Keywords: community assembly ; dispersal limitation ; environmental selection ; evolutionary principal ; component analysis ; indicator lineage analysis ; Moran's eigenvector maps ; neotropics ; Niche ; conservatism ; tropical rain forests
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 7
    Publication Date: 2024-04-05
    Description: Amazonia’s floodplain system is the largest and most biodiverse on Earth. Although forests are crucial to the ecological integrity of floodplains, our understanding of their species composition and how this may differ from surrounding forest types is still far too limited, particularly as changing inundation regimes begin to reshape floodplain tree communities and the critical ecosystem functions they underpin. Here we address this gap by taking a spatially explicit look at Amazonia-wide patterns of tree-species turnover and ecological specialization of the region’s floodplain forests. We show that the majority of Amazonian tree species can inhabit floodplains, and about a sixth of Amazonian tree diversity is ecologically specialized on floodplains. The degree of specialization in floodplain communities is driven by regional flood patterns, with the most compositionally differentiated floodplain forests located centrally within the fluvial network and contingent on the most extraordinary flood magnitudes regionally. Our results provide a spatially explicit view of ecological specialization of floodplain forest communities and expose the need for whole-basin hydrological integrity to protect the Amazon’s tree diversity and its function.
    Keywords: Forests
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 8
    Publication Date: 2024-04-13
    Description: Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.
    Keywords: Multidisciplinary ; ABUNDANCE DISTRIBUTIONS ; ALPHA-DIVERSITY ; PLANT DIVERSITY ; FORESTS ; BIOMASS
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 9
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 103 (1981), S. 2659-2667 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 104 (1982), S. 7306-7309 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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