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63 results for “dipterocarp”
Data from: Host preference explains the high endemism of ectomycorrhizal fungi in a dipterocarp rainforest
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Differential nutrient limitation and tree height control leaf physiology, supporting niche partitioning in tropical dipterocarp forests
<p><span>Revealing the mechanisms of environmental niche partitioning within lowland tropical forests is important for understanding the drivers of current species distributions and potential vulnerability to environmental change. Tropical forest structure and species composition change across edaphic gradients in Borneo over short distances. However, our understanding of how edaphic conditions affect tree physiology and whether these relationships drive niche partitioning within Bornean forests remains incomplete. </span></p> <p><span>This study evaluated how leaf physiological function changes with nutrient availability across a fine-scale edaphic gradient and whether these relationships vary according to tree height. Furthermore, we tested whether intraspecific leaf trait variation allows generalist species to populate a wider range of environments.</span></p> <p><span>We measured leaf traits of 218 trees ranging in height from 4 to 66 m from 13 dipterocarp species within four tropical forest types (alluvial, mudstone, sandstone, kerangas) occurring along an < 5km edaphic gradient in North Borneo. The traits measured included saturating photosynthesis (<em>A</em><sub>sat</sub>), maximum photosynthetic capacity (<em>V</em><sub>cmax</sub>), leaf dark respiration (<em>R</em><sub>leaf</sub>), leaf mass per area (LMA), leaf thickness, minimum stomatal conductance (<em>g</em><sub>dark</sub>) and leaf nutrient concentrations (N, P, Ca, K, Mg). </span></p> <p><span>Across all species, leaf traits varied consistently in response to soil nutrient availability across forest types except <em>R</em><sub>leaf_mass</sub>, [<em>Mg</em>]<sub>leaf</sub> and [<em>Ca</em>]<sub>leaf</sub>. Changes in photosynthesis and respiration rates were related to different leaf nutrients across forest types, with greater nutrient-use efficiency in more nutrient-poor environments. Generalist species partially or fully compensated reductions in mass-based photosynthesis through increasing LMA in more nutrient-poor environments. </span></p> <p><span>Leaf traits also varied with tree height, except <em>V</em><sub>cmax_mass</sub>, but only in response to height-related modifications of leaf morphology (LMA and leaf thickness). These height-trait relationships did not vary across the edaphic gradient, except for <em>A</em><sub>sat</sub>, [<em>N</em>]leaf, [<em>P</em>]<sub>leaf</sub> and [<em>K</em>]<sub>leaf</sub>. </span></p> <p><span>Our results highlight that modification of leaf physiological function and morphology act as important adaptations for Bornean dipterocarps in response to edaphic and vertical environmental gradients. Meanwhile, multiple nutrients appear to contribute to niche partitioning and could drive species distributions and high biodiversity within Bornean forest landscapes.</span></p>
Data from: Girth increment changes in response to soil water availability in lowland dipterocarp forest in Borneo: an individualistic time-series analysis
<p><span>Time-series data offer a way of investigating the causes driving ecological processes as phenomena. To test for possible differences in water relations between species of different forest structural guilds at Danum (Sabah, NE Borneo), daily stem girth increments (gthi), of 18 trees across six species were regressed individually on soil moisture potential (SMP) and temperature (TEMP), accounting for temporal autocorrelation (in GLS-arima models), and compared between a wet and a dry period. The best-fitting significant variables were SMP the day before and TEMP the same day. The first resulted in a mix of positive and negative coefficients, the second largely positive ones. An adjustment for dry-period showers was applied. Interactions were stronger in dry than wet period. Negative relationships for overstorey trees can be interpreted in a reversed causal sense: fast transporting stems depleted soil water and lowered SMP. Positive relationships for understorey trees meant they took up most water at high SMP. The unexpected negative relationships for these small trees may have been due to their roots accessing deeper water supplies (if SMP was inversely related to that of the surface layer), and this was influenced by competition with larger neighbour trees. A tree-soil flux dynamics manifold may have been operating. Patterns of mean diurnal girth variation were more consistent among species, and time-series coefficients were negatively related to their maxima. Expected differences in response to SMP in the wet and dry periods did not clearly support a previous hypothesis differentiating drought and non-drought tolerant understorey guilds. Trees within species showed highly individual responses when tree size was standardized. Data on individual root systems and SMP at several depths are needed to get closer to the mechanisms that underlie the tree-soil water phenomena in these tropical forests. Neighborhood stochasticity importantly creates varying local environments experienced by individual trees.</span></p>
Seedling-habitat associations of Dipterocarps across elevation gradients
<b>Description: </b><p>This is a dataset produced during my MRes - Tropical Forest Ecology project and was used to for the analysis for my thesis </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/167"><b>Elevation gradients as microclimate drivers of Dipterocarp dynamics in the face of climate change</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=78">here</a></p><p><b>Data worksheets: </b>There are 1 data worksheets in this dataset:</p><ol><li><p><b>Seedling plot data</b> (Worksheet Data)</p><p>Dimensions: 194 rows by 20 columns</p><p>Description: Seedling community composition in 2x2m subplots. NB: Only seedlings belonging to the family dipterocarpaceae were recorded.</p><p>Fields: </p><ul><li><b>Plot_no</b>: Plot location (Field type: Location)</li><li><b>Sub_Plot</b>: Subplot within Plot_no (Field type: ID)</li><li><b>Topography</b>: Local topography (Field type: Categorical)</li><li><b>Elevation</b>: Plot elevation. Values are the midpoint of 50-m wide elevational bands (i.e. 775 means the plot was between 750-800masl) (Field type: Numeric)</li><li><b>Anisoptera</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Hopea</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Shorea</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Parashorea</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Dryobalanops</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Dipterocarpus</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Cotylelobium</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Vatica</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Vateriopsis</b>: Number of seedlings within plot (Field type: Abundance)</li><li><b>Slope_N</b>: Slope measured in North compass direction (Field type: Numeric)</li><li><b>Slope_E</b>: Slope measured in East compass direction (Field type: Numeric)</li><li><b>P_A</b>: Is a Dipterocarp seedling present? (Field type: Categorical)</li><li><b>Adult_P_A</b>: Is a Dipterocarp adult tree present or absent? (Field type: Categorical)</li><li><b>Forest_type</b>: Forest classification (Field type: Categorical)</li><li><b>Soil_Type</b>: Soil classification (Field type: Categorical)</li></ul><br></li></ol><p><b>Date range: </b>2017-02-06 to 2017-06-06</p><p><b>Latitudinal extent: </b>4.7037 to 4.7773</p><p><b>Longitudinal extent: </b>116.8439 to 116.9837</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Plantae<br> - Tracheophyta<br> -  - Magnoliopsida<br> -  -  - Malvales<br> -  -  -  - Dipterocarpaceae<br> -  -  -  -  - <i>Anisoptera</i><br> -  -  -  -  - <i>Cotylelobium</i><br> -  -  -  -  - <i>Dipterocarpus</i><br> -  -  -  -  - <i>Dryobalanops</i><br> -  -  -  -  - <i>Hopea</i><br> -  -  -  -  - <i>Parashorea</i><br> -  -  -  -  - <i>Shorea</i><br> -  -  -  -  - <i>Vateriopsis</i><br> -  -  -  -  - <i>Vatica</i><br></div><p></p>
Fig. 3 in Stingless Bee (Hymenoptera: Apidae: Meliponini) Diversity In Dipterocarp Forest Reserves In Peninsular Malaysia
Fig. 3. Stingless bee species accumulation at traps in the six Virgin Jungle Reserves.
Fig. 2 in Environmental and geographic factors driving dung beetle (Coleoptera: Scarabaeidae: Scarabaeinae) diversity in the dipterocarp forests of Peninsular Malaysia
Fig. 2. All dung beetle capture data for the eight sampling sites rarefied by trap.
FIGURE 3 in Oribatid Mites (Acari, Oribatida) From Dipterocarp And Polydominant Forests Of The Dong Nai Culture And Nature Reserve (Southern Vietnam), With Description Of A New Species Of Lyroppia (Oppiidae)
FIGURE 3: Lyroppia dongnaiensis n. sp.: A – leg I, without trochanter, left, antiaxial view; B – leg IV, without trochanter, right, paraxial view. Scale bar 20 µm.
FIGURE 2 in Oribatid Mites (Acari, Oribatida) From Dipterocarp And Polydominant Forests Of The Dong Nai Culture And Nature Reserve (Southern Vietnam), With Description Of A New Species Of Lyroppia (Oppiidae)
FIGURE 2: Lyroppia dongnaiensis n. sp.: A – subcapitulum, left half; B – palp; C – chelicera; D – genital plate, left, and aggenital seta; E – anal plate, left, and adanal setae. Scale bar 10 µm.
FIGURE 1 in Oribatid Mites (Acari, Oribatida) From Dipterocarp And Polydominant Forests Of The Dong Nai Culture And Nature Reserve (Southern Vietnam), With Description Of A New Species Of Lyroppia (Oppiidae)
FIGURE 1: Lyroppia dongnaiensis n. sp.: A – dorsal view; B – ventral view, legs, palps and subcapitular setae not shown; C – lateral view of rostrum and rostral seta; D – sensillus; E – exobothridial seta and medio-posterior part of bothridium (bo). Scale bar (A+B) 50 µm, scale bar (C+D+E) 10 µm.
Large contribution of recent photosynthate to soil respiration in tropical dipterocarp forest revealed by girdling
<b>Description: </b><p>The research site is one of the existing intensive carbon plots (Tower Plot) at the SAFE Project Experimental area. The area where the plot is located will be converted into oil palm plantation during 2015-2017 (for commercial purposes, not for research). The overarching aim of the project is to assess how the termination of the transport of sugars and defoliation alter forest ecosystem functioning and structure.The aim of the project is:<br>1. To quantify the contribution of photosynthate supply to soil respiration: via the contribution of roots and soil microbial communities utilising root-derived carbon.<br>2. To assess whether there is a relationship between root respiration and tree species.<br>To address these aims, we girdled trees in one half of the plot (0.5 ha), leaving the other half (0.5 ha) as a control. In girdling, a strip of bark (including cambium and phloem) was removed from around the trunk, with the aim of stopping the transport of sugars from the foliage into the roots and soil. The transport of sugars stop immediately, allowing us to quantify their role in the root and soil processes. The girdled trees will gradually defoliate and die due to the carbon starvation of the roots. We wish to emphasise that these trees would have been felled anyway during the conversion to oil palm - this project is not causing any additional deforestation.<br>The processes measured are:<br>- CO2 fluxes from soil measured with portable chambers from which a gas sample is drawn and analysed in the field with a portable instrument (CO2) <br>- Changes in tree circumference monitored with automatic dendrometer bands.<br>- Terrestrial laser scanning (T-lidar), non-destructive method to quantify the 3D structure of the forest stand.Pre-girdling data of all processes will be collected, starting at least two months before the girdling. The girdling took place in early 2016, and the monitoring continued for twelve months afterwards.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/28"><b>Tree girdling - BALI project</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC, the Ministry of Education, Youth and Sports of the Czech Republic (Grant, NE/K01627X/1, NE/G018278/1, INTER-TRANSFER LTT19018)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence JKM/MBS.1000-2/2 JLD.4 (3))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5519572">here</a></p><p><b>Files: </b>This consists of 1 file: BALI_Nottingham_Girdling_Data_2021_rev.xlsx</p><p><b>BALI_Nottingham_Girdling_Data_2021_rev.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>CO2 and H2O data</b> (described in worksheet CO2_H2O_data)</p><p>Description: Tree identity and mortality collected taken January 2016- January 2017; Soil respiration, soil temperature and January moisture measurements taken January- March 2016 in a girdled tropical forest using a LiCor 8100a </p><p>Number of fields: 12</p><p>Number of data rows: 12548</p><p>Fields: </p><ul><li><b>PlotName</b>: reference to the experiment location within the SAFE plot network (experiment took place in the 'Tower plot / SAF-05'') (Field type: location)</li><li><b>daynight</b>: defined by 6pm to 6am (Field type: categorical)</li><li><b>date</b>: date of measurement (Field type: date)</li><li><b>plot</b>: subplot' in manuscript (Field type: id)</li><li><b>Rday</b>: relative data to the start of girdling (girdling day = 0) (Field type: id)</li><li><b>CO2</b>: soil CO2 efflux (Field type: numeric)</li><li><b>H2O</b>: soil volumetric moisture (Field type: numeric)</li><li><b>T</b>: soil temperature (Field type: numeric)</li><li><b>port</b>: refers to soil collar location (we allocated chamber port to soil collar location) (Field type: id)</li><li><b>portplot</b>: soil collar location nested within plot (Field type: id)</li><li><b>time</b>: time of measurement (24h) (Field type: numeric)</li><li><b>phase</b>: measurement period (see manuscript for phase definitions) (Field type: categorical)</li></ul></li><li><p><b>Tree mortality data</b> (described in worksheet Mortality_data)</p><p>Description: Tree census of trees surroudings the points where Licor 8100a measurements were taken</p><p>Number of fields: 20</p><p>Number of data rows: 259</p><p>Fields: </p><ul><li><b>PlotName</b>: reference to the experiment location within the SAFE plot network (experiment took place in the 'Tower plot / SAF-05'') (Field type: location)</li><li><b>ForestPlotsCode</b>: reference to the experiment location within the SAFE plot network (experiment took place in the 'Tower plot / SAF-05'') (Field type: id)</li><li><b>Subplot</b>: subplots 1-12 included in the manuscript (Field type: id)</li><li><b>CensusDate</b>: date when trees were originally measured (Field type: date)</li><li><b>TagNumber</b>: tree tag identity (Field type: id)</li><li><b>Height_m</b>: tree height (Field type: numeric)</li><li><b>Comments</b>: comments about the tree (Field type: comments)</li><li><b>Family</b>: tree family (Field type: taxa)</li><li><b>Genus</b>: tree genus (Field type: taxa)</li><li><b>SpeciesName</b>: tree species (Field type: comments)</li><li><b>WoodDensity</b>: wood density (Field type: numeric)</li><li><b>CrownProjection_Area_m2_in2016</b>: Crown Projection Area in 2016 (Field type: numeric)</li><li><b>X_m</b>: coordinates (Latitude) (Field type: numeric)</li><li><b>Y_m</b>: coordinates (Longitude) (Field type: numeric)</li><li><b>GirdlingDeathDate</b>: girdling tree death date (Field type: date)</li><li><b>Biomass_kgPerStem</b>: Biomass_kgPerStem (Field type: numeric)</li><li><b>Carbon_kgCperStem</b>: Carbon_kgCperStem (Field type: numeric)</li><li><b>mortality</b>: mortality (Field type: categorical)</li><li><b>DBHgrowth_cm_year</b>: DBHgrowth_cm_year (Field type: numeric)</li><li><b>DBHAnnualGrowthRate</b>: DBHAnnualGrowthRate (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2015-08-04 to 2017-02-07</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Lamiales <br> -  -  -  -  -  Lamiaceae <br> -  -  -  -  -  -  <i>Callicarpa</i> <br> -  -  -  -  Rosales <br> -  -  -  -  -  Urticaceae <br> -  -  -  -  -  -  <i>Pipturus</i> <br> -  -  -  -  -  -  <i>Dendrocnide</i> <br> -  -  -  -  -  -  <i>Oreocnide</i> <br> -  -  -  -  -  Moraceae <br> -  -  -  -  -  -  <i>Ficus</i> <br> -  -  -  -  Malpighiales <br> -  -  -  -  -  Achariaceae <br> -  -  -  -  -  -  <i>Hydnocarpus</i> <br> -  -  -  -  -  Euphorbiaceae <br> -  -  -  -  -  -  <i>Macaranga</i> <br> -  -  -  -  -  -  <i>Cephalomappa</i> <br> -  -  -  -  -  -  <i>Mallotus</i> <br> -  -  -  -  -  Phyllanthaceae <br> -  -  -  -  -  -  <i>Aporosa</i> <br> -  -  -  -  -  Ixonanthaceae <br> -  -  -  -  -  -  <i>Ixonanthes</i> <br> -  -  -  -  -  Calophyllaceae <br> -  -  -  -  -  -  <i>Calophyllum</i> <br> -  -  -  -  -  Violaceae <br> -  -  -  -  -  -  <i>Rinorea</i> <br> -  -  -  -  Ericales <br> -  -  -  -  -  Pentaphylacaceae <br> -  -  -  -  -  -  <i>Adinandra</i> <br> -  -  -  -  -  Sapotaceae <br> -  -  -  -  -  -  <i>Palaquium</i> <br> -  -  -  -  -  Symplocaceae <br> -  -  -  -  -  -  <i>Symplocos</i> <br> -  -  -  -  -  Ebenaceae <br> -  -  -  -  -  -  <i>Diospyros</i> <br> -  -  -  -  Malvales <br> -  -  -  -  -  Dipterocarpaceae <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  <i>Dipterocarpus</i> <br> -  -  -  -  -  -  <i>Dryobalanops</i> <br> -  -  -  -  -  -  <i>Parashorea</i> <br> -  -  -  -  -  Malvaceae <br> -  -  -  -  -  -  <i>Pterospermum</i> <br> -  -  -  -  -  -  <i>Scaphium</i> <br> -  -  -  -  -  -  <i>Brownlowia</i> <br> -  -  -  -  -  -  <i>Sterculia</i> <br> -  -  -  -  -  -  <i>Microcos</i> <br> -  -  -  -  -  -  <i>Neesia</i> <br> -  -  -  -  -  -  <i>Diplodiscus</i> <br> -  -  -  -  Laurales <br> -  -  -  -  -  Lauraceae <br> -  -  -  -  -  -  <i>Actinodaphne</i> <br> -  -  -  -  -  -  <i>Litsea</i> <br> -  -  -  -  -  -  <i>Eusideroxylon</i> <br> -  -  -  -  Celastrales <br> -  -  -  -  -  Celastraceae <br> -  -  -  -  -  -  <i>Lophopetalum</i> <br> -  -  -  -  Magnoliales <br> -  -  -  -  -  Myristicaceae <br> -  -  -  -  -  -  <i>Knema</i> <br> -  -  -  -  -  Annonaceae <br> -  -  -  -  -  -  <i>Goniothalamus</i> <br> -  -  -  -  -  -  <i>Polyalthia</i> <br> -  -  -  -  -  -  <i>Maasia</i> <br> -  -  -  -  Vitales <br> -  -  -  -  -  Vitaceae <br> -  -  -  -  -  -  <i>Leea</i> <br> -  -  -  -  Myrtales <br> -  -  -  -  -  Myrtaceae <br> -  -  -  -  -  -  <i>Syzygium</i> <br> -  -  -  -  -  Lythraceae <br> -  -  -  -  -  -  <i>Duabanga</i> <br> -  -  -  -  Cornales <br> -  -  -  -  -  Cornaceae <br> -  -  -  -  -  -  <i>Alangium</i> <br> -  -  -  -  Gentianales <br> -  -  -  -  -  Rubiaceae <br> -  -  -  -  -  -  <i>Neolamarckia</i> <br> -  -  -  -  -  -  <i>Neonauclea</i> <br> -  -  -  -  -  -  <i>Urophyllum</i> <br> -  -  -  -  -  -  <i>Pleiocarpidia</i> <br> -  -  -  -  Fabales <br> -  -  -  -  -  Fabaceae <br> -  -  -  -  -  -  <i>Saraca</i> <br> -  -  -  -  -  Polygalaceae <br> -  -  -  -  -  -  <i>Xanthophyllum</i> <br> -  -  -  -  Cucurbitales <br> -  -  -  -  -  Tetramelaceae <br> -  -  -  -  -  -  <i>Octomeles</i> <br> -  -  -  -  Fagales <br> -  -  -  -  -  Fagaceae <br> -  -  -  -  -  -  <i>Lithocarpus</i> <br> -  -  -  -  -  -  <i>Castanopsis</i> <br> -  -  -  -  Sapindales <br> -  -  -  -  -  Sapindaceae <br> -  -  -  -  -  -  <i>Nephelium</i> <br> -  -  -  -  -  -  <i>Dimocarpus</i> <br> -  -  -  -  -  -  <i>Pometia</i> <br> -  -  -  -  -  Meliaceae <br> -  -  -  -  -  -  <i>Dysoxylum</i> <br> -  -  -  -  -  -  <i>Aglaia</i> <br> -  -  -  -  -  Burseraceae <br> -  -  -  -  -  -  <i>Canarium</i> <br> -  -  -  -  -  Anacardiaceae <br> -  -  -  -  -  -  <i>Buchanania</i> <br></div><p></p>
Ectomycorrhizal (Dipterocarp) and arbuscular mycorrhizal (non-dipterocarp) tree
<p>The type of mycorrhizal associations (i.e. ecto- or arbuscular mycorrhizal) formed by trees is of fundamental importance for a range of soil properties and processes in forest ecosystems, yet their importance for the distribution of other important soil biota such as bacteria is still largely unknown. This is especially so in diverse tropical forests where trees of different mycorrhizal types are intermingled in a highly heterogeneous biotic and abiotic environment. Here we used an experimental common garden that helped us to assess how abiotic and biotic variation differentially influenced bacterial communities associated with trees planted in a secondary tropical forest of Borneo. We used high-throughput amplicon sequencing to characterize rhizosphere bacterial communities of 13 climax tree species (8 ectomycorrhizal and 5 arbuscular mycorrhizal) in relation to plant traits, plant neighborhood, and abiotic environment. Rhizosphere bacterial (RB) communities differed significantly between EM and AM trees but not among EM species and only marginally among AM species. Foliar nutrients, especially potassium, showed relationships with RB community composition. Rhizosphere bacterial communities were related to the density and size of neighboring ectomycorrhizal but not arbuscular mycorrhizal trees. Diversity of RB on AM trees responded positively to AM neighbors and negatively to EM neighbors but RB diversity associated with EM trees was unaffected by neighborhood. Rhizosphere bacterial communities of AM trees were more responsive to environmental variation such as light availability and position on a slope. Plant-growth-promoting taxa of RB assorted similarly to total RB but more strongly.</p> <p><strong>Synthesis</strong>: Our results suggest that the distribution of rhizosphere bacterial communities is linked to plant functional group and plant neighborhood. Because rhizosphere bacteria play important roles in nutrient cycling that influence plant species composition, it is likely that their distributional patterns are important for understanding ecosystem processes and plant demographics.</p>
Data for: Distance and density dependence in two native Bornean dipterocarp species
<p>The Janzen-Connell hypothesis proposes that density and distance-dependent mortality generated by specialist natural enemies prevent competitive dominance. Much literature on Janzen Connell mechanisms comes from the neotropics, and evidence of the role of distance and density-dependence is still relatively sparse. We tested the predictions of the J-C hypothesis in a South-East Asian system dominated by mast fruiting species. We hypothesized that seedling survival would decrease with distance and density, seedling growth would increase, and herbivory would decrease, according to the predictions of the Janzen-Connell hypothesis. Experiments were conducted to determine the strength of the Janzen Connell mechanism by manipulating the density and identity of tree species as a function of the distance from parent trees. Survival of conspecific seedlings was reduced near adult trees of one species, but not another. High densities of seedlings decreased the growth of conspecific seedlings of both species. In both species, herbivory rates decreased with distance in low-density areas. This study indicates that dipterocarp species experienced weak Janzen-Connell effects of distance and density dependence at the growth stage studied. Future studies in this system might focus on earlier life-history stages such as seeds and small seedlings, as well as studying mortality during mast-seeding events.</p>
Data from: Density-dependent reproductive success among sympatric dipterocarps during a major mast fruiting event
<p><span>The files hold the data for the paper entitled "</span>Density-dependent reproductive success among sympatric dipterocarps during a major mast fruiting event", which includes <span>(i) the weight and status of seeds collected with seed traps in a Bornean tropical forest during a mast fruiting event, and (ii) the results of a seed sowing experiment in primary and secondary forests. Study site was t</span>he Deramakot and Tangkulap Forest Reserves, Sabah, Malaysia (5°14– 30'N, 117°11–36'E)<span>.</span></p>
Long-term ecological responses of a lowland dipterocarp forest to climate changes and nutrient availability at Bulusan Lake
<p>This data publication encompasses the datasets generated in a study focusing on reconstructing ecological responses to climatic and nutrient availability changes during the late Holocene in northern Philippines. The data comes from samples taken from sediment cores retrieved from Bulusan Lake, located on Luzon Island, Philippines, in March 2013. In these samples, we analyzed fossil pollen and spores (a proxy for plant taxa abundance), charcoal (a proxy for fire activity), stable carbon isotopic composition of terrestrial-lipid biomarkers (a proxy for vegetation cover), stable nitrogen and phosphate isotope composition of bulk sediments, and elemental composition of sediment cores at a high resolution (proxies for nutrient availability and volcanic activity). The dataset also includes links to records generated in a previous study on the same sediments (Prohaska <em>et al.</em> 2023), where we measured the stable hydrogen isotopic composition of terrestrial-lipid biomarkers to reconstruct past hydrological conditions, as well as the magnetic susceptibility record and AMS dates of plant macrofossils to calculate sediment accumulation ages. The data generation spanned the period from April 2013 to September 2020, and the data files are provided in Excel spreadsheet format.</p>
Long-term ecological responses of a lowland dipterocarp forest to climate changes and nutrient availability at Bulusan Lake
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Data from: Genetic Diversity and Demographic History of an Upper Hill Dipterocarp (Shorea platyclados): Implications for Conservation
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Data for: Distance and density dependence in two native Bornean dipterocarp species
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Data from: Predicting climatic limits along a rainfall gradient of dipterocarp species based on leaf turgor loss point
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Data from: Girth increment changes in response to soil water availability in lowland dipterocarp forest in Borneo: an individualistic time-series analysis
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Photosynthetic and functional traits of tree seedlings from dry dipterocarp forest
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