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93 results for “Forest age”
Coarse Woody Debris (CWD) biomass across a compositional gradient of intermediate-aged and mature forest stands within Interior Alaska collected 2008-2011.
This dataset includes coarse woody debris data for intermediate-aged and mature boreal forest stands across interior Alaska.
Fine Woody Debris (FWD) biomass across a compositional gradient of intermediate-aged and mature forest stands within Interior Alaska collected 2008-2011.
This dataset includes fine woody debris data for intermediate-aged and mature boreal forest stands across interior Alaska.
Foliage chemistry across a compositional gradient of intermediate-aged and mature forest stands within Interior Alaska collected 2008-2011.
This dataset includes foliage %C and %N data for intermediate-aged (20-59 yr old) and mature (60+ yr old) boreal forest stands across interior Alaska. Data have not been published.
Snag size and composition across a compositional gradient of intermediate-aged and mature forest stands within Interior Alaska collected 2008-2011.
This dataset includes snag biomass data for intermediate-aged and mature boreal forest stands across interior Alaska.
Size and composition of all live and dead trees and large shrubs across a compositional gradient of intermediate-aged and mature forest stands within Interior Alaska collected 2008-2011.
This dataset includes snag biomass data for intermediate-aged (20-59 yr old) and mature (60+ yr old) boreal forest stands across interior Alaska. Data from intermediate-aged stands was published in Alexander et al. 2012.
Twig chemistry across a compositional gradient of intermediate-aged and mature forest stands within Interior Alaska collected 2008-2011.
This dataset includes twig %C and %N data for intermediate-aged (20-59 yr old) and mature (60+ yr old) boreal forest stands across interior Alaska. Data have not been published.
Benchmark maps of 33 years of secondary forest age for Brazil
<p><strong>Title: </strong>Benchmark maps of 33 years of secondary forest age for Brazil</p> <p><strong>Contact:</strong> Celso H. L. Silva Junior (celsohlsj@gmail.com)</p> <p> </p> <p><strong>Data:</strong> Increment (Product 1), Extent (Product 2), Loss (Product 3), and Age (Product 4) of Brazilian Secondary Vegetation</p> <p><strong>Coverage:</strong> Brazil land</p> <p><strong>Period:</strong> 1986 to 2018 (1987 to 2018 for secondary forest loss)</p> <p><strong>Spatial resolution:</strong> 30-meters</p> <p><strong>Temporal resolution:</strong> Annual</p> <p><strong>Coordinate reference system:</strong> Geographic Coordinate System with Datum WGS84</p> <p><strong>File format:</strong> 131 zip files per year (being 33 for increment, 33 for extent, 33 for age and 32 for loss). Each zip file containing eight tiles in compressed TIFF format.</p> <p><strong>Code:</strong> <a href="https://github.com/celsohlsj/gee_brazil_sv">https://github.com/celsohlsj/gee_brazil_sv</a></p> <p><strong>Dataset usage</strong>: It is free to use, but if you use this dataset in your work, please make sure to cite the repository and our paper properly. We also welcome users to invite us for collaboration.</p> <p><strong>For the use of this dataset, please cite: </strong>Silva Junior, C.H.L., Heinrich, V.H.A., Freire, A.T.G., Broggio, I.S., Rosan, T.M., Doblas, J., Anderson, L.O., Rousseau, G.X., Shimabukuro, Y.E., Silva, C.A., House, J.I., Aragão, L.E.O.C. Benchmark maps of 33 years of secondary forest age for Brazil. Scientific Data (2020). <a href="https://doi.org/10.1038/s41597-020-00600-4">https://doi.org/10.1038/s41597-020-00600-4</a></p>
Data from: Age‐dependent leaf physiology and consequences for crown‐scale carbon uptake during the dry season in an Amazon evergreen forest
* Satellite and tower-based metrics of forest-scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. * We conducted demographic surveys of leaf age composition, and measured age-dependence of leaf physiology in broadleaf canopy trees of abundant species at a central eastern Amazon site. Using a novel leaf-to-branch scaling approach, we used this data to independently test the much-debated hypothesis—arising from satellite and tower-based observations—that leaf phenology could explain the forest-scale pattern of dry season photosynthesis. * Stomatal conductance and biochemical parameters of photosynthesis were higher for recently mature leaves than for old leaves. Most branches had multiple leaf age categories simultaneously present, and the number of recently mature leaves increased as the dry season progressed because old leaves were exchanged for new leaves. * These findings provide the first direct field evidence that branch-scale photosynthetic capacity increases during the dry season, with a magnitude consistent with increases in ecosystem-scale photosynthetic capacity derived from flux towers. Interaction between leaf age-dependent physiology and shifting leaf age-demographic composition are sufficient to explain the dry season photosynthetic capacity pattern at this site, and should be considered in vegetation models of tropical evergreen forests.
Chronic anthropogenic disturbance mediates the biodiversity-productivity relationship across stand ages in a large temperate forest region
<div>Temperate forests, especially those in the densely populated regions of the world, are experiencing increasing levels of habitat degradation and biological impoverishment due to subtle but pervasive chronic anthropogenic disturbances including frequent and continuous grazing and extraction of non-timber forest products. However, the effects of these subtle, chronic disturbances on the biodiversity-productivity relationship have rarely been examined especially in forests at different development stages. Accordingly, this study explores how chronic anthropogenic disturbance affects the relationship between tree species diversity and forest productivity at different stand development stages in a large temperate forest region.</div> <div> </div> <div>We used the human footprint index as a proxy for chronic human disturbance. Hierarchical Bayesian models were employed to assess the effects of chronic human disturbance on the relationship between tree diversity and forest productivity across different stand age. Several measures of diversity were employed, including taxonomic, functional and phylogenetic diversity.</div> <div> </div> <div>Forest productivity consistently increased with taxonomic, functional and phylogenetic biodiversity; these biodiversity facets were the main drivers of forest productivity compared to stand age, chronic human disturbance, and climate. However, the magnitude at which productivity increases with the increments of taxonomic and functional diversity diminishes with the increasing chronic disturbance, especially in younger stands. The effects of phylogenetic diversity on productivity did not vary with chronic disturbance, regardless of stand age.</div> <div> </div> <div> <strong>Synthesis and applications:</strong> Chronic human disturbance in a large temperate forest region reduces the increase in community productivity due to different facets of biodiversity, especially in young forests. The evidence suggests that the mitigation of chronic human disturbance and the conservation of biodiversity will be effective in sustaining essential ecosystem functions.</div>
Data for: Elevated inbreeding in Heliconia tortuosa is determined by tropical forest stand age, isolation, and loss of hummingbird functional diversity
<p>Forest conversion and habitat loss are major threats to biological diversity. Forest regeneration can mitigate the negative effects of old growth forest loss on species diversity, but less is known about the extent to which forest loss reduces genetic diversity in remnant populations and whether secondary forests play a role in the maintenance of genetic diversity. We quantified genetic diversity in a tropical hummingbird-pollinated understory herb, <em>Heliconia tortuosa</em>, across a landscape mosaic of primary and secondary forest regrowth. Using microsatellite genotypes from >850 adult and juvenile plants within 33 forest patches and extensive bird surveys, we examined the effect of contemporary and historical landscape features including forest age (primary vs. secondary forest), stand isolation, and pollinator assemblages on genetic diversity and levels of inbreeding in <em>H. tortuosa</em>. We found that inbreeding was up to 3x higher in secondary forest, and this effect was amplified with reductions in primary forest in the surrounding landscape through reduced observed heterozygosity in isolated fragments. Inbreeding in forest patches was negatively correlated with the local frequency of specialist long-distance foraging traplining hummingbirds. Traplining hummingbirds therefore appear to facilitate mating among unrelated plants - an inference we tested using empirically parameterized simulations. Higher levels of inbreeding in <em>H. tortuosa</em> are therefore associated with reduced functional diversity of hummingbirds in secondary forests and forest patches isolated from primary forests. Our findings suggest a cryptic consequence of primary forest loss and secondary forest regeneration through the disruption of mutualistic interactions resulting in the erosion of genetic diversity in a common understory plant.</p>
Raw data for the manuscript entitled "Forest age and topographic position jointly shape the species richness and composition of vascular plants in karstic habitats"
<p>Doline surveys from the Mecsek Mountains, Hungary. Transects were established with north to south orientation across each doline, traversing their deepest point. Transects began and ended on doline rims, and consisted of 1 m  × 1 m plots spaced at 2 m intervals (94, 89, 90 and 99 plots in the different forest age classes, respectively; 372 plots in total). We recorded the presence/absence data of shrubs and herbs in each plot. Fieldwork was carried out between 2007 and 2019 from June to August, at the peak of the growing season.</p>
Figure 1 in Impact of dike age on biodiversity and functional composition of soil macrofaunal communities in poplar forests in a reclaimed coastal area
Figure 1. Distribution of sample sites on the reclaimed coast.
A new joint 1-km China's forest age dataset
<p>This dataset combines China's forest age data of Xu et al., 2023, Cheng et al., 2024 and Shang et al., 2023 to obtain a more reliable forest age layer. We calculated the average and standard deviation (uncertainty) of these data. Spatial gaps in these data were imputed using the ‘missRanger’ package in R.</p>
Mapping discrete forest age classes of Mediterranean pinelands since the pre-satellite era using historical orthoimage mosaics and machine learning.
<p>Data and sripts for Journal of Forestry Research submitted manuscript. Authors: Vicent Agustí Ribas Costa, Andrew Trlica, & Aitor Gastón González.</p> <p>This data and scripts are part of Vicent's PhD project at Universidad Politécnica de Madrid, supervised by Dr. Aitor. Contact Vicent for any queries at va.ribas@upm.es.</p> <p>The PNOA LiDAR and 1956 and 2021 orthophotos are openly available at the Centro de Descargas of the Instituto Geográfico Nacional (<a href="https://centrodedescargas.cnig.es/CentroDescargas/index.jsp">https://centrodedescargas.cnig.es/CentroDescargas/index.jsp</a>). The 1989 orthophoto is available under request at the Institut Cartogràfic i Geogràfic de les Illes Balears (<a href="https://www.caib.es/webgoib/institut-cartografic-i-geografic-de-les-illes-balears-icgib-">https://www.caib.es/webgoib/institut-cartografic-i-geografic-de-les-illes-balears-icgib-</a>).</p> <p>Forest inventory data is property of the landowners and managed by Terrapi World Ltd.</p>
Landslide age, elevation and residual vegetation determine tropical montane forest canopy recovery and biomass accumulation after landslide disturbances in the Peruvian Andes
<p>Landslides are common natural disturbances in tropical montane forests. While the geomorphic drivers of landslides in the Andes have been studied, factors controlling post-landslide forest recovery across the steep climatic and topographic gradients characteristic of tropical mountains are poorly understood.</p> <p>Here we use a LiDAR-derived canopy height map coupled with a 25-year landslide time series map to examine how landslide, topographic, and biophysical factors, along with residual vegetation, affect canopy height and heterogeneity in regenerating landslides. We also calculate aboveground biomass accumulation rates and estimate the time for landslides to recover to mature forest biomass levels.</p> <p>We find that age and elevation are the biggest determinants of forest recovery, and that the jump-start in regeneration that residual vegetation provides lasts for at least 18 years. Our estimates of time to biomass recovery (31.6-37.1 years) are surprisingly rapid, and as a result we recommend that future research pair LiDAR with hyperspectral imagery to estimate forest aboveground biomass in frequently disturbed landscapes.</p> <p>Synthesis: Using a high-resolution LiDAR dataset and a time-series inventory of 608 landslides distributed across a wide elevational gradient in Andean montane forest, we show that age and elevation are the most influential predictors of forest canopy height and canopy variability. Other features of landslides, in particular the presence of residual vegetation, shape post-landslide regeneration trajectories. LiDAR allows for a detailed analysis of forest structural recovery across large landscapes and numbers of disturbances, and provides a reasonable upper bound on aboveground biomass accumulation rates. However, because this method does not capture the effect of compositional change through succession on aboveground biomass, wherein high-wood density species gradually replace light-wooded pioneer species, it overestimates aboveground biomass. Given previously estimated stem turnover rates along this elevational gradient, we posit that aboveground biomass recovery takes at least three times as long as our recovery time estimates based on LiDAR-derived structure alone.</p>
Aboveground net primary productivity in regenerating seasonally dry tropical forest: contributions of rainfall, forest age, and soil
<p>Identifying factors controlling forest productivity is critical to understanding forest-climate change feedbacks, modeling vegetation dynamics, and carbon finance schemes. However, little research has focused on productivity in regenerating tropical forest which are expanding in their fraction of global area have an order of magnitude larger carbon uptake rates relative to older forest.</p> <p>We examined aboveground net primary productivity (ANPP) and its components (wood production and litterfall) over ten years in forest plots that vary in successional age, soil characteristics, and species composition using band dendrometers and litterfall traps in regenerating seasonally dry tropical forests in northwestern Costa Rica.</p> <p>We show that the components of ANPP are differentially driven by age and annual rainfall and that local soil variation is important. Total ANPP was explained by a combination of age, annual rainfall, and soil variation. Wood production comprised 35% of ANPP on average across sites and years, and was explained by annual rainfall but not forest age. Conversely, litterfall increased with forest age and soil fertility yet was not affected by annual rainfall. In this region, edaphic variability is highly correlated with plant community composition. Thus, variation in ecosystem processes explained by soil may also be partially explained by species composition.</p> <p>These results suggest that future changes in annual rainfall can alter the secondary forest carbon sink, but that this effect will be buffered by the litterfall flux which varies little among years. In determining the long-term strength of the secondary forest carbon sink, both rainfall and forest age will be critical variables to track. We also conclude that a detailed understanding of local site variation in soils and plant communities may be required to accurately predict the impact of changing rainfall on forest carbon uptake.</p> <p>Synthesis We show that in seasonally dry tropical forests, annual rainfall has a positive relationship with the growth of aboveground woody tissues of trees and that droughts lead to significant reductions in aboveground productivity. These results provide evidence for climate change – carbon cycle feedbacks in the seasonal tropics and highlight the value of longitudinal data on forest regeneration.</p>
Low-severity winds reduce tropical forest structural complexity regardless of climate, topography or forest age
<p>Forests are often exposed to regular, non-severe winds (chronic wind exposure), yet the effect of such winds on canopy structure in tropical forests remains understudied. The height and structural complexity of a forest canopy are strongly and positively correlated with biodiversity and carbon accumulation. Understanding the drivers of canopy structural complexity across broad environmental gradients can therefore improve the mapping and modeling of diversity and carbon dynamics. Here we predict the height and structural complexity of forests in the heterogeneous island of Puerto Rico, with a particular focus on the impacts of chronic wind exposure. To do so, we used remote sensing to randomly sample ~20,000, 0.28 ha forested sites stratified by forest age, and used airborne LiDAR data from 2016 to quantify canopy height and a key metric of structural complexity, rugosity – the standard deviation in canopy height. We then ran random forest models to predict canopy height and rugosity based on chronic wind exposure, forest age, mean annual precipitation, elevation, slope, soil type, soil available water storage, and exposure to two previous hurricanes (in 1989 and 1998). Canopy height was 4 m taller on average (41%) between forests aged 17-25 years and old-growth forests and by 4 m on average (41%) between 1,000 and 2,000 mm<sup>-yr</sup> precipitation, leveling off at 2,000 mm<sup>-yr</sup>. Height was 2.12 m (16%) shorter on average between sites exposed to chronic winds and protected sites after accounting for all other factors. Rugosity was 1 m (32%) greater between the tallest and shortest forests, by 0.5 m (15%) between 1,000 and 2,000 mm<sup>-yr</sup> precipitation, and smaller by 0.5 m (15%) between forests above and below 1,000 m elevation. Rugosity was highest in forests of intermediate age (25-40 years), and lowest in old-growth forests, possibly because of higher elevation and chronic wind exposure in old-growth forests. We found no effect of slope, soil characteristics or previous hurricane exposure on either height or rugosity. Our results suggest that alongside forest age and climate context, chronic wind exposure plays an integral role in shaping the structure and carbon cycle of tropical forests.</p>
Fire severity as a key determinant of aboveground and belowground biological community recovery in managed even-aged boreal forests
<p><span>Changes in fire regime of boreal forests in response to climate warming are expected to impact post-fire recovery. However, quantitative data on how managed forests sustain and recover from recent fire disturbance are limited. </span></p> <p><span>Two years after a large wildfire in managed even-aged boreal forests in Sweden,</span><span> we investigated how recovery of aboveground and belowground communities, i.e., understory vegetation and soil microbial and faunal communities, responded to variation in the severity of soil (i.e., consumption of soil organic matter) and canopy fires (i.e., tree mortality). </span></p> <p><span>While fire overall enhanced diversity of understory vegetation through colonization of fire adapted plant species, it reduced the abundance and diversity of soil biota. We observed contrasting effects of tree- and soil-related fire severity on survival and recovery of understory vegetation and soil biological communities. </span><span>Severe fires that killed overstory <em>Pinus sylvestris</em> promoted a successional stage dominated by the mosses <em>Ceratodon purpureus</em> and <em>Polytrichum juniperum</em>, but reduced regeneration of tree seedlings and disfavoured the ericaceous dwarf-shrub<em> Vaccinium vitis-idaea</em> and the grass<em> Deschampsia flexuos</em>a. Moreover, high tree mortality from fire reduced fungal biomass and changed fungal community composition, in particular that of ectomycorrhizal fungi, and reduced the fungivorous soil Oribatida. In contrast, soil-related fire severity had little impact on vegetation composition, fungal communities and soil animals. Bacterial communities responded to both tree- and soil-related fire severity. </span></p> <p><span>Synthesis: Our results two years post-fire suggest that a change in fire regime from a historically low-severity ground-fire regime, with fires that mainly burns into the soil organic layer, to a </span><span>stand-replacing </span><span>fire regime with a high degree of tree mortality, as may be expected with climate change, is likely to impact the short-term recovery of stand structure and above- and belowground species composition of even-aged <em>P. sylvestris</em> </span><span>boreal forests.</span></p>
Data from: Forest age drives saproxylic beetle biodiversity in the southeastern United States
<p><strong>Data from: Forest age drives saproxylic beetle biodiversity in the southeastern United States </strong></p> <p>Clayton R. Traylor, Michael D. Ulyshen, Joseph V. McHugh</p> <p><em>Biological Conservation </em>285: 110238.</p> <p><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biocon.2023.110238" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.biocon.2023.110238</span></a></p> <p> </p> <p>Abstract from paper:</p> <p>Old forests are valuable for biodiversity conservation because they provide uninterrupted forest cover over time<br>and late-successional habitat, promoting low-mobility and late-successional species. However, forest age may be<br>less important in highly forested landscapes because dispersal limitation is reduced. We investigated how species<br>richness and community composition of saproxylic beetles (Coleoptera) are influenced by forest age and the surrounding<br>landscape in the southeastern United States (Georgia). Forests in this region are highly fragmented and<br>dominated by early-successional stands. We sampled beetles in 20 old forests (mature in 1938) and 20 young<br>forests (originating after 1938), located along a landscape forest cover (LFC) gradient. Old and young forests<br>were structurally similar but tree communities differed along a Quercus (old) to Pinus (young) gradient. Regional<br>diversity of saproxylic beetles was higher in old forests, and high species turnover between forest age groups suggests<br>they both help to maintain regional biodiversity. Two models of local richness had near equal merit: one<br>showed higher richness in old forests regardless of LFC, while the other showed higher richness in old forests at<br>high LFC. Contrary to expectations, neither model supports old forests losing importance in highly forested landscapes.<br>Higher richness in old forests is likely due to temporal stability and late-successional habitat, promoting<br>low-mobility and specialist species. Because the land area of young forests exceeds that of old forests, old forests<br>are disproportionately important for saproxylic biodiversity in the region.</p>
Amazon natural regenerating forest age
<p><strong> We access the land use and land cover time series product available for the Amazon for the year 1985-2019 (MapBiomass collection 6). The MapBiomas is based on the classification of Landsat images, map of annual land use and land cover at 30 m spatial resolution. We initially classified each pixel in each plot within site following MapBiomaClass and we reclassified in Forest, Secondary-forest, deforestation and others for each year in a temporal series 1985-2019.We classified the land cover maps into two categories: forest (including forest and secondary forests) and non-forest (including agriculture and pasture classes).</strong></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.