Find research datasets worth reusing

H. J. Andrews Experimental Forest site, station Andrews Watershed 1, study of plant density of trees in units of numberPerHectare on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant density of trees measurements in numberPerHectare units and were aggregated to a yearly timescale.

H. J. Andrews Experimental Forest site, station Andrews Watershed 3, study of plant density of trees in units of numberPerHectare on a yearly timescale

Crossett Experimental Forest site, station R. R. Reynolds Research Natural Area, study of plant density of hardwood trees in units of numberPerHectare on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Crossett Experimental Forest (CRO) contains plant density of hardwood trees measurements in numberPerHectare units and were aggregated to a yearly timescale.

Crossett Experimental Forest site, station R. R. Reynolds Research Natural Area, study of plant density of pine trees in units of numberPerHectare on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Crossett Experimental Forest (CRO) contains plant density of pine trees measurements in numberPerHectare units and were aggregated to a yearly timescale.

H. J. Andrews Experimental Forest site, station Reference Stand 2, study of plant density of tree boles in units of numberPerHectare on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant density of tree boles measurements in numberPerHectare units and were aggregated to a yearly timescale.

H. J. Andrews Experimental Forest site, station Reference Stand 29, study of plant density of tree boles in units of numberPerHectare on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant density of tree boles measurements in numberPerHectare units and were aggregated to a yearly timescale.

openCC0Jan 2018View details →

Soil bulk density: Tree Competition Garden

This experiment was set up adjacent to E055 in the high disturbance, garden area. 1.75 inches of black soil was added to the CCNHA sandy soil to make four 10 feet x 54 feet plots. The soil was rototilled and aluminum flashing was installed to edge the plots and divide them into 48, 5 feet x 9 feet plots. Equal amounts of MgSO4, CaCO3, P2O5 and K2O are added to the plots each year in early May and late June. For a describtion of fertilizer added, see fertilization details. Seeds were planted with 6 replicates of each of the following treatments: 1. Agropyron repens monoculture 2. Schizachyrium scoparium monoculture 3. Pinus strobus monoculture 4. Quercus ellipsoidalis monoculture 5. Agropyron repens + Quercus ellipsoidalis on half 6. Agropyron repens + Pinus strobus on half 7. Schizachyrium scoparium + Quercus ellipsoidalis on half 8. Schizachyrium scoparium + Pinus strobus on half The competition plots were split, with half invaded by seed and half to be invaded by seedling. For treatments 5-8, the right or left sides were chosen at random, to plant the tree seeds. The plots were watered throughout the growing season to keep water from becoming a limiting resource.

opencc-zeroNov 2020View details →

Tree mycorrhizal type mediates the strength of negative density dependence in temperate forests

<p>1. Recent plant-soil feedback experiments suggest that arbuscular mycorrhizal (AM) tree species experience stronger conspecific negative density dependence (CNDD) than ectomycorrhizal (EM) tree species. Yet how these findings inform our understanding of natural systems is limited because the roles of local soil conditions, light environments and tree species abundances in influencing CNDD for AM and EM species are not clear.</p> <p>2. Here we examined seedling and sapling survival in two temperate old-growth forests (broadleaved pine and spruce-fir forests) in Northeast China, to evaluate the effects of both conspecific and heterospecific neighbour density, as well as the soil and light environments, on the survival of AM and EM-dependent trees at early life stages.</p> <p>3. While light availability increased the survival of EM seedlings, soil organic resources increased EM sapling survival in the spruce-fir plot. AM seedlings suffered stronger CNDD than did EM seedlings in both plots. In the spruce-fir plot, soil factors and light availability mediated species CNDD but their effects differed for AM and EM species, and also between seedlings and saplings. For seedlings in both plots, we found that AM species exhibited a positive relationship between species abundance and CNDD strength, whereas this relationship was negative for EM species.</p> <p>4.<i> Synthesis</i>. Our results provide one of the few tests of how fungal symbioses determine species responses to intra- and interspecific interactions and the direct effects of local environmental conditions on seedling and sapling survival. We show that mycorrhizal type mediates the strength of CNDD and its relationship with species abundance. These results suggest that tree mycorrhizal association can determine the strength of CNDD effects on both rare and common species, and these CNDD differences are likely to influence the community composition of temperate forests.</p>

opencc-zeroDec 2014View details →

Data from: Mating system and genetic diversity of progenies before and after logging: a case study of Bagassa guianensis (Moraceae), a low-density dioecious tree of the Amazonian forest

The logging of large trees in tropical forests causes a decrease in the density of reproductive individuals, which likely affects the pattern of pollen dispersal and the mating system of the remaining trees in the population. Here, we investigate the impact of logging on mating system and genetic diversity of the low-density, thrip-pollinated, dioecious tree Bagassa guianensis within a 500-ha plot at Tapajós National Forest, Pará State, Brazil. Mating system parameters of the logged population were estimated using mixed-mating model. Six microsatellite loci were used to genotype 232 seeds from ten remnant female trees over three seasons (2006, 2007, and 2008). The data were compared with the mating system of the unlogged population of B. guianensis (18 female trees, 488 seeds) in the same plot. The overall number of alleles found in the open-pollinated progenies decreased after logging (K = 71 before logging and K = 57 after logging, considering the three after logging seasons pooled), as well as the average number of alleles per locus (A = 11.8 and 9.5, respectively). Similarly, the number of private alleles, which is defined in the context of this study as the number of alleles observed in the population exclusively before or after logging, also decreased after logging (15 and 1, respectively). However, the average number of alleles per locus and the observed and expected heterozygosities were not significantly higher before logging than after logging. Logging also did not affect the inbreeding of progenies in the population. Somewhat unexpectedly, the effective number of pollen donors was consistently higher after (N ep = 14.5 in 2006, 8.1 in 2007, and 6.3 in 2008) than before logging (N ep = 3.4), suggesting that the loss of alleles in the population was compensated by the higher heterogeneity in the pollen pool after the removal of the largest trees by logging. Potential causes explaining the patterns found here include the maintenance of large patches of forest around the logged plot and the species' ability to perform long-distance pollination by airborne thrips. Maintenance of landscape integrity as logged and unlogged forests around the exploited areas is recommended to enhance pollen migration and to avoid long-term losses in genetic diversity.

opencc-zeroDec 2013View details →

Data from: Loss of animal seed dispersal increases extinction risk in a tropical tree species due to pervasive negative density dependence across life stages

Overhunting in tropical forests reduces populations of vertebrate seed dispersers. If reduced seed dispersal has a negative impact on tree population viability, overhunting could lead to altered forest structure and dynamics, including decreased biodiversity. However, empirical data showing decreased animal-dispersed tree abundance in overhunted forests contradict demographic models which predict minimal sensitivity of tree population growth rate to early life stages. One resolution to this discrepancy is that seed dispersal determines spatial aggregation, which could have demographic consequences for all life stages. We tested the impact of dispersal loss on population viability of a tropical tree species, Miliusa horsfieldii, currently dispersed by an intact community of large mammals in a Thai forest. We evaluated the effect of spatial aggregation for all tree life stages, from seeds to adult trees, and constructed simulation models to compare population viability with and without animal-mediated seed dispersal. In simulated populations, disperser loss increased spatial aggregation by fourfold, leading to increased negative density dependence across the life cycle and a 10-fold increase in the probability of extinction. Given that the majority of tree species in tropical forests are animal-dispersed, overhunting will potentially result in forests that are fundamentally different from those existing now.

opencc-zeroDec 2014View details →

Data from: Density-dependent effects of a widespread invasive herbivore on tree survival and biomass during reforestation

Reforestation has been widely adopted as a solution to multiple global change issues. However, the role of herbivory by invasive species in the restoration of grassland to forest has received little attention. We conducted a field experiment to investigate the impacts of a widespread invasive mammalian herbivore, the European rabbit (Oryctolagus cuniculus), on trees planted in a landscape-scale reforestation program in south-eastern Australia. Three native tree species were planted inside and outside rabbit-proof exclosures within 10 experimental units, and a random half of the units were subjected to intensive and sustained rabbit control for the remainder of the experiment. Quarterly survival of trees, and total aboveground biomass at the conclusion of the experiment, were estimated using hierarchical Bayesian models. Control substantially reduced rabbit densities on the five treatment units relative to the five non-treatment units. Survival of trees planted outside exclosures was highest at lowest rabbit density and declined non-linearly with increasing rabbit density for all three tree species, but even very low rabbit densities had strong negative effects on the survival of trees outside exclosures. There was a three-way interaction between tree height, being outside an exclosure, and rabbit density. Smaller trees planted outside exclosures always had substantially lower overall survival than trees of the same height planted inside exclosures, and the magnitude of the difference increased with increasing rabbit density. Increasing rabbit densities reduced the overall survival of increasingly taller trees of all three species planted outside exclosures. The aboveground biomass of trees surviving outside exclosures was significantly greater in treatment units compared with non-treatment units for all three species. The combined effects of differential survival and accumulation of aboveground biomass led to higher biomasses inside exclosures relative to outside exclosures just 21 months after planting. The aboveground biomass of trees planted outside exclosures declined with increasing rabbit density, and was effectively zero when rabbit densities exceeded 100 active warren entrances/ha. These results demonstrate that invasive herbivores can rapidly arrest the conversion of grassland to forest. Invasive herbivores such as the European rabbit may need to be completely excluded in order to maximize the benefits of reforestation.

opencc-zeroDec 2010View details →

Data from: Reliability of macrofossils in woodrat (Neotoma) middens for detecting low-density tree populations

Macrofossils from woodrat (Neotoma) middens serve as an important proxy for reconstructing past vegetation in arid and semiarid regions of North America. The presence/absence of plant macrofossils in middens can provide valuable information on temporal and spatial patterns of plant migration and range boundaries. The primary aim of this study was to determine how local plant abundance, distance of plant populations from midden sites, and species population density on the landscape affect the probability of occurrence of macrofossils in middens. The study was designed with the primary intent of determining the reliability of middens in detecting scattered populations of Pinus ponderosa. We analyzed macrofossil assemblages from 42 modern woodrat middens from West Carrizo Canyon in southeastern Colorado, near the current eastern range margin of Pinus ponderosa. We compared midden contents with composition of the surrounding vegetation, measuring distance from the midden to the nearest individual of selected plant species, and the percent cover of each species within 30 m of the midden. We used this information to model the probability of species presence in a midden across a range of population densities on the landscape. Macrofossils of Juniperus spp., Quercus gambelii, and Opuntia spp. were consistently found in middens regardless of their local abundance in vegetation, although populations occurred within 30 m of all middens. Pinus edulis and P. ponderosa occurred in nearly all middens within 20-30 m of individual trees. P. ponderosa was rare in middens >20-30 m away from individual trees. Results of a simple simulation model suggest that middens become absolutely reliable indicators of P. ponderosa presence on the landscape only when average tree density exceeds 50 stems ha-1. Woodrats reliably collected macrofossils of Pinus edulis, P. ponderosa, Juniperus spp., Quercus gambelii, and Opuntia spp. when populations of these taxa occur within 20-30 m of a midden site. Woodrats did not collect P. ponderosa when the nearest individuals were more than 30 m away. Low-density populations of these and other species may be difficult to detect in fossil woodrat-midden series owing to reduced probability that individuals grow within foraging distance of the middens. Data from this and similar studies can be used to construct and parameterize a forward model of macrofossil representation in woodrat middens.

opencc-zeroDec 2015View details →

Data from: Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data

Forests are a major component of the global carbon cycle, and accurate estimation of forest carbon stocks and fluxes is important in the context of anthropogenic global change. Airborne laser scanning (ALS) data sets are increasingly recognized as outstanding data sources for high-fidelity mapping of carbon stocks at regional scales. We develop a tree-centric approach to carbon mapping, based on identifying individual tree crowns (ITCs) and species from airborne remote sensing data, from which individual tree carbon stocks are calculated. We identify ITCs from the laser scanning point cloud using a region-growing algorithm and identifying species from airborne hyperspectral data by machine learning. For each detected tree, we predict stem diameter from its height and crown-width estimate. From that point on, we use well-established approaches developed for field-based inventories: above-ground biomasses of trees are estimated using published allometries and summed within plots to estimate carbon density. We show this approach is highly reliable: tests in the Italian Alps demonstrated a close relationship between field- and ALS-based estimates of carbon stocks (r2 = 0·98). Small trees are invisible from the air, and a correction factor is required to accommodate this effect. An advantage of the tree-centric approach over existing area-based methods is that it can produce maps at any scale and is fundamentally based on field-based inventory methods, making it intuitive and transparent. Airborne laser scanning, hyperspectral sensing and computational power are all advancing rapidly, making it increasingly feasible to use ITC approaches for effective mapping of forest carbon density also inside wider carbon mapping programs like REDD++.

zenodo32/100

Data from: Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944

<p><strong>Paper Abstract:</strong></p> <p>Urban expansion, especially suburbanization, represents a major social, economic and environmental shift that has escalated since the mid-1900s in North America. Suburban development leads to corresponding changes in the treed environment of urban-rural fringes. It is important to understand where, when and why trees change in response to development over many decades, but this is difficult since long-term data are scarce. We used 70+ years (1944–2017) of leaf-off aerial photographs, often representing the only long-term landscape record, to quantify and map spatio-temporal changes in tree density through the entirety of the agricultural-suburban transitional period. Photo-interpretation of individual tree locations, along with recording observable drivers of change, was completed across six different modern landscapes in Mississauga, Ontario, Canada. Results indicate that tree density often recovers, or even increases, post-development. There are differences between landscapes, but most tree density gains are associated with forest expansion and tree planting, while most losses are associated with building and road construction. The influence of these drivers, along with the temporal trajectory of tree density changes, are shaped by a landscape’s socioecological legacy and the length, scope and intensity of development (as decided by decision makers). Processes include initial tree losses followed by recovery from tree planting, and forest succession in abandoned fields after land purchase and nearby development. We assert that the spatio-temporal changes in tree density and related drivers quantified here can be generalized to gain knowledge on how tree density and distribution across agricultural landscapes will change under different development scenarios.</p> <p> </p> <p><strong>Data details:</strong></p> <p>See paper: <a href="https://www.sciencedirect.com/science/article/pii/S0169204619301914?via%3Dihub">Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944 - ScienceDirect</a></p> <p>See code on GitHub: <a href="https://github.com/ZZMitch/SuburbanizingTreeDensity_1944to2017">ZZMitch/SuburbanizingTreeDensity_1944to2017: Code from "Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944" (L&UP, 2019) (github.com)</a></p> <p>- Note: High resolution imagery is not included in this repository. </p> <p> </p> <p><strong>If you use these data, please reference: </strong></p> <p>Bonney, M.T., He, Y., 2019. Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944. Landscape and Urban Planning 192, https://doi.org/10.1016/j.landurbplan.2019.103652. </p>

opencc-by-4.0Jul 2024View details →

zenodo32/100

LiDAR-derived voxel-based leaf area density distribution data of urban trees

<p>This dataset includes 3D tree models and radiative transfer codes used in a paper entitled "Simulating the 3D distribution of absorbed shortwave radiation in a tree crown: comparison of simplified and Monte Carlo models" submitted to the JGR: Atmospheres.</p>

opencc-by-4.0Jan 2023View details →

opencc-zeroAug 2023View details →

Density and characteristics of tree cavities inside and outside Volcanoes National Park, Rwanda

<p>Tree cavities, formed by animal excavation or processes of fungal decay and mechanical damage, may provide nesting, roosting, or resting opportunities to many invertebrate and vertebrate species. Although cavity availability has been linked to patterns of biodiversity and ecosystem functioning elsewhere, there have been few such studies in the Afrotropics. Here, we present a baseline survey of cavity availability inside the high elevation (<span>2,200</span>–<span>3,714 </span>m) Afromontane forest ecosystems of Volcanoes National Park (VNP), Rwanda. We aimed to provide such reference data in the form of summary statistics on cavity density and characteristics in a collection of 400 m<sup>2</sup> plots that together cover 8.8 ha inside and 0.68 ha outside VNP. We also explored the relative importance of fungal decay vs. excavators in the formation of cavities, tested for the relative role of standing dead trees and living trees as cavity substrates, considered differences in diameter and height between cavity-bearing trees and trees without cavities, determined the orientation of cavity entrances, and tested whether cavity density varies across elevation. We found 109 cavities in 52 cavity-bearing trees (dominated by <em>Hagenia</em> <em>abyssinica</em>) inside VNP, for a density of 12.4 cavities and 5.9 cavity-bearing trees per hectare, and none outside the park. More cavities were decay-formed (n = 90) than excavated (n = 19) and though most cavities were found in living trees (n = 44) the number of cavities in dead trees (n = 8) was high relative to dead tree substrate availability. We also found that cavity-bearing trees were larger than those without cavities, that excavated cavities were predominantly oriented towards the southeast and decay-formed cavities to the northeast, and that cavity density peaked near ~3,000 m. Our results show that large and dead trees of particular species are important cavity substrates that need to be given attention in conservation and management as is clearly illustrated by the lack of cavities in the highly managed Eucalyptus stands outside VNP.</p>

zenodo32/100

Negative density-regulated contest performance promotes conflict resolution in a tree lizard

<p>This project includes the raw data of the research article 'Negative density-regulated contest performance promotes conflict resolution in a tree lizard' by Hsu et al.</p> <p>Data are in the file <code>negative-density-regulated-contest-performance.ods</code> (a OpenDocument spreadsheet). Download and open it by using spreadsheet software (e.g. Microsoft Office Excel, Libreoffice Calc)</p> <p>Sheet <code>covariates by population</code></p> <table> <thead> <tr> <th>Column</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>Site</td> <td>Lizard population</td> </tr> <tr> <td>log.female.over.male.ratio</td> <td>Natural logarithm of sex ratio (famel over male)</td> </tr> <tr> <td>n.injured</td> <td>Number of injured males</td> </tr> <tr> <td>n.not.injured</td> <td>Number of not injured males</td> </tr> <tr> <td>injury.ave</td> <td>Injury ratio</td> </tr> <tr> <td>selectDiff</td> <td>Standardized selection differential of male snout-vent length</td> </tr> <tr> <td>Comp.1</td> <td>1st principle component of habitat composition</td> </tr> <tr> <td>Comp.2</td> <td>2nd principle component of habitat composition</td> </tr> <tr> <td>Comp.3</td> <td>3rd principle component of habitat composition</td> </tr> <tr> <td>Comp.4</td> <td>4th principle component of habitat composition</td> </tr> <tr> <td>invSimpsonTrapAbundance</td> <td>Food items (inverse Simpson index) in item abundance from pitfall trap</td> </tr> <tr> <td>invSimpsonTrapWeight</td> <td>Food items (inverse Simpson index) in item dry mass from pitfall trap</td> </tr> <tr> <td>totalTrapWeight</td> <td>Total dry mass of food in pitfall trap (g)</td> </tr> <tr> <td>invSimpsonStomachAbundance</td> <td>Dietary breadth (inverse Simpson index) in abundance from stomach items</td> </tr> <tr> <td>invSimpsonStomachWeight</td> <td>Dietary breadth (inverse Simpson index) in dry mass from stomach items</td> </tr> <tr> <td>totalStomachWeight</td> <td>Total dry mass of items in stomach (g)</td> </tr> </tbody> </table> <p>Sheet <code>covariates by population and sex</code></p> <table> <thead> <tr> <th>Column</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>Site</td> <td>Lizard population</td> </tr> <tr> <td>Sex</td> <td>Sex</td> </tr> <tr> <td>density</td> <td>Number of lizard in 1250 m^2</td> </tr> </tbody> </table> <p>Sheet <code>stage fight</code></p> <table> <thead> <tr> <th>Column</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>Site</td> <td>Lizard population</td> </tr> <tr> <td>resident (SVL)</td> <td>Snout-vent length of resident lizard</td> </tr> <tr> <td>intruder (SVL)</td> <td>Snout-vent length of intruder lizard</td> </tr> <tr> <td>max.aggresive</td> <td>Resident highest agressive behavior</td> </tr> <tr> <td>is.R.win</td> <td>Resident as winner</td> </tr> <tr> <td>rScore</td> <td>Rank level of resident highest agressive behavior</td> </tr> </tbody> </table> <p>Sheet <code>bite force</code></p> <table> <thead> <tr> <th>Column</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>Site</td> <td>Lizard population</td> </tr> <tr> <td>Sex</td> <td>Sex</td> </tr> <tr> <td>Body weight</td> <td>Lizard body weight (g)</td> </tr> <tr> <td>Head length</td> <td>Lizard head length (mm)</td> </tr> <tr> <td>Head width</td> <td>Lizard head width (mm)</td> </tr> <tr> <td>Head height</td> <td>Lizard head height (mm)</td> </tr> <tr> <td>SVL</td> <td>Lizard snout-vent length (mm)</td> </tr> <tr> <td>Bite Force</td> <td>Lizard bite force (N)</td> </tr> </tbody> </table> <p>Abstract</p> <ol> <li>Territoriality is a behavioral adaptation resulting from intraspecific competition and reflects the strategy of how individuals share limited resources in the environment. As a consequence, territorial contests and levels of aggressiveness are strongly influenced by population density.</li> <li>The positive relationship between population density and the intensity of intraspecific competition may appear straightforward. However, empirical evidence regarding this association remains inconclusive. This ambiguity may be attributed to studies that have predominantly focused on specific fight-associated traits while overlooking the comprehensive assessment of multiple phenotypic characteristics.</li> <li>To examine the effects of population density and other ecological factors on the variation in fight behavior as well as fight-associated morphology and performance. We conducted population surveys and behavioral experiments using the Swinhoe’s tree lizard across eight populations.</li> <li>Our findings revealed that males from higher-density populations tended to engage in less intense fights and exhibited a weaker resident advantage in fights, which coincided with our findings on lower rates of injuries, weaker bite forces, and smaller body sizes (and vice versa). Male-specific plasticity in fight behavior, morphology, and performance along a density gradient suggests different evolutionary equilibria in territoriality influenced by local costs and benefits.</li> <li>Our study supports the significant role of negative density dependence as a fundamental regulator of eco-evolutionary dynamics. The observed phenotypic plasticity emphasizes the importance of ecological and social factors in shaping ontogenetic growth and life-history strategies. Our findings provide a basis for future investigations into pace-of-life syndromes and shed light on how phenotypic adaptation may shape population structure.</li> </ol>

opencc-by-4.0Sep 2023View details →

publicApr 2017View details →

Data from: Wood density of trees in savannas of the northern Brazilian Amazon

Open the record for dataset details and reuse information.

publicMay 2011View details →

Data from: Reliability of macrofossils in woodrat (Neotoma) middens for detecting low-density tree populations

Open the record for dataset details and reuse information.