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141 results for “forest regeneration”
Northern red oak regeneration in burned and unburned stands in the White Mountain National Forest, New Hampshire, USA, 2023-2024
This project aimed to determine whether prescribed burning of managed forest stands improves the regeneration of Quercus rubra near its northern range limit in New Hampshire. We measured oak seedling density and growth rates in three pairs of managed stands in which one had received a prescribed burn since 2017. We also measured the density of competing seedlings and shrubs, leaf area index above seedling height, soil nutrients, mycorrhizal colonization, foliar carbon/nitrogen ratio, and stable isotopes of nitrogen and carbon. We found greater oak seedling density and faster oak seedling growth rates in burned stands relative to unburned stands. A subset of these measurements were also collected in additional burned and unburned study stands in the region. A companion mesocosm experiment showed faster growth in oak seedlings grown in soil from burned vs. unburned stands. Together these studies show that the benefits of fire to oak regeneration are mediated both via greater light availability as well as effects mediated via soil.
Data for: Simulated postfire tree regeneration suggests reorganization of Greater Yellowstone forests during the 21st century
Tree regeneration underpins forest resilience, but how postfire tree regeneration will change with future climate and fire regimes is difficult to anticipate. Areas of sparse and failed postfire tree regeneration have been documented in western US forests, but how future recovery pathways will unfold is uncertain. We conducted a simulation study in the Greater Yellowstone Ecosystem (GYE; United States) using a process-based model, iLand, to ask how rates, composition, and spatial patterns of postfire tree regeneration vary with 21st-century climate. Subalpine forest and fire dynamics were simulated through 2100 under four climate scenarios, 2 × 2 factorial of aridity (wet and dry) and temperature (warm and hot), in five GYE landscapes. We tallied postfire tree seedling density by species in simulated fires (> 400 ha) at five years postfire. This data set contains three data sets to reproduce analyses for changes rates of regeneration, proportion of burned cells with regeneration failure, and postfire reorganization pathways. We include the data and R scripts used for these three analyses in the publication associated with these data.
Tree Growth and Coarse Woody Debris in Regenerating Forests at Harvard Forest since 2008
This project is a field-based study to measure sequestration of atmospheric carbon dioxide in a regenerating New England forest. This study established long-term biometric plots suitable for measuring changes in carbon storage through time in three forest stands: an early-20th-century conifer plantation, a naturally regenerating former conifer plantation harvested in the 1990s, and a conifer plantation scheduled for harvest next winter. The first three years of this project determined the initial carbon budget of these forest stands, measured carbon fluxes into and out of these stands, and laid the groundwork for future investigations. Subsequent years will investigate larger-scale questions, such as how successional patterns affect carbon sequestration, and how these patterns change with stand age. The work also addresses how forestry practices influence carbon sequestration, and provide guidance for how forest management could enhance terrestrial carbon uptake in the future.
Regeneration Following Clearcutting Study at Harvard Forest since 1991
Measurements of regeneration following removal in 1990 of a 64-year old red pine plantation on the Prospect Hill tract were continued for the twelfth year in 2001. Browsing in 2001 remained at very low levels (less than 2% of stems). As mean tree height continues to increase both the amount of browsing and the impact of browsing on future stand characteristics should remain low. Overall, our observations show that browsing has had little long-term impact during the regeneration of this stand. White ash, the most heavily browsed species, remains the most common species in the plots. After remaining quite stable over the past five years, in 2001 the overall stem density of tree species declined to 17,883 stems/ha, compared with 19,464 stems/ha in 2000, 19,414 stems/ha in 1999, 19,958 stems/ha in 1998, 19,414 stems/ha in 1997, and 20,696 stems/ha in 1996. The relative importance of major species has remained the same over the past six years. In 2001, white ash (36.5%) remained the most numerous tree species, followed by red maple (26.9%), sugar maple (14.4%) and black cherry (9.4%). These percentages changed little from 2000. After a slight decrease in 2000, red oak increased slightly to 7.5% of tree stems in 2001, the majority of which were small seedlings. Overall, the percentage of stems that originated as seedlings rather than sprouts decreased to 19.3%, down from 23.1% in 2000, 23.4% in 1999, 25.4% in 1998, and 23.7% in 1997. The majority of these seedlings (55.7%) were white ash, most less than 0.5 m tall. Mean stem height rose to 3.46 m, compared to 3.20 m in 2000, 3.24 m in 1999, 3.01 m in 1998, 2.92 m in 1997, 2.87 m in 1996 and 2.67 m in 1995. The resumption in mean height growth over the past year probably reflects low seedling establishment and mortality of seedlings and young sprouts less than 0.5 m tall along with continued growth of the taller stems. The tallest stems were 20 white ash, 15 red maples, 15 sugar maples, 6 black cherries, 5 pin cherries, 3
Natural Regeneration of Puerto Rican Tropical Dry Forest Sites with Limited Burn History, Guánica Forest, 2012
This dataset documents the natural regeneration of tropical dry forest sites with limited burn history in Guánica Forest, Puerto Rico, following fire disturbance. Featuring a 29-year chronosequence, the dataset encompasses both short-term (2–5 months) and long-term (2–29 years) recovery, alongside mature forest control sites (including forest sites containing native grass). Data collection was conducted between May and August 2012 and focuses on woody tree species only. The dataset includes tree census data from seven sites (chrono_census.csv), recording species identity, stem diameter, aboveground biomass destruction, and resprouting dynamics. Additional data include species mean trait values, such as relative bark thickness and specific leaf area, to examine relationships with post-fire resprouting (chrono_traits.csv), and a species abundance matrix for evaluating community composition shifts over time (chrono_ndmsmatrix.csv). Field data were collected from circular 100 m² plots randomly placed at each site, with all woody plants tagged and identified. Stem diameters (≥1 cm) were measured at breast height (DBH) or ground height (DGH) in new-burn sites. Tree mortality was assessed, and aboveground biomass loss (0–100%) was estimated in new-burn sites. Resprouting was also quantified in short-term regeneration sites in mid-August 2012. In long-term sites, tree height was measured for the five tallest individuals. The dataset is relevant for researchers investigating tropical dry forest dynamics, fire ecology, and regeneration processes in Caribbean forest ecosystems. The dataset is complete and not ongoing.
Data for: Can fire exclusion zones enhance postfire tree regeneration? A simulation study in subalpine conifer forests
Postfire tree regeneration in forests adapted to infrequent, stand-replacing fire is compromised by climate change and novel fire regimes. We used the individual-based forest simulation model iLand to ask whether mimicking spatial patterns of historical fire mosaics can sustain tree regeneration in a warmer future with more fire. We simulated forest and fire dynamics in Grand Teton National Park under four different climate scenarios, and with eight different scenarios (i.e. spatial configurations) of "fire exclusion zones" (Fx zones). Data were simulated for 2020 - 2100 period, and analyzed early (2026-2050) and late (2076-2100) in the simulation. Here, we present these simulated data and R-scripts to reproduce analyses presented in the associated manuscript (Keller et al. 2025, Ecological Applications). Specifically, our data deposit reproduces analyses for 1) differences in regeneration among scenarios at two different times in the simulation, 2) spatial patterns of regeneration in 2100 as a result of the operational fire exclusion zone scenario, and 3) supplemental analyses found in the appendixes.
Tree species, diameter, regeneration, and herbaceous cover from 218 plots in 1985 in Black Rock Forest, NY.
A stand inventory was completed in 1985 in Black Rock Forest, Cornwall, NY across 3112 acres. Trees greater than 2" in diameter at breast height (DBH) were tallied using a 10 basal area factor prism in 218 plots across 71 stands. For each tree, species, DBH, number of eight foot pieces, overall form, crown class, and any special notes were recorded. Regeneration was measured at each location by tallying all trees less than 2" DBH in a 2-m radius plot. Shrub and herbaceous cover at each location were also tallied in a 2-m radius plot.
Field survey of mangrove regeneration, porewater variables, and light in mangrove forests in Everglades National Park, Florida, USA, July 2020 - August 2022
This dataset package encompasses measurements from field surveys of mangrove regeneration, porewater variables, and light conditions across six mangrove sites in the coastal Everglades. The goal of this project was to quantify mangrove regeneration of seedlings and saplings in mid- and downstream locations within three estuaries in Everglades National Park, Florida, USA. We assessed the effects of porewater variables and light conditions on the observed regeneration patterns. The package includes seven datasets: FCE1268_Porewater: Contains measurements of porewater salinity, sulfide, ammonia, nitrite, orthophosphate, and nitrate at a 30 cm depth. Porewater surveys were conducted biannually from 09-10-2020 to 05-17-2022. See also similar porewater data for Florida Coastal Everglades (FCE) long-term sites in data packages knb-lter-fce.1169 and knb-lter-fce.1171, which contain data for SRS-5 and SRS-6, available in the FCE LTER website's data catalog or the EDI repository. FCE1268_Foliar_Nutrient_Content dataset, collected in August 2022, includes measurements of foliar nutrient content (total carbon, total nitrogen, and total phosphorus) for three mangrove species (A. germinans, L. racemosa, R. mangle) of two life stages—seedlings (height < 1 m) and saplings (height ≥ 1 m and Diameter at Breast Height (DBH) < 2.5 cm). FCE1268_Light contains light intensity (foot-candle) measurements taken at 1-hour intervals from 09-18-2020 to 08-29-2022 at mangrove sites and converted photosynthetic active radiation values from an outdoor mesocosm experiment. FCE1268_Sapling_Density provides biannual count measurements of individuals at the sapling plot level (4 m^-2) within each site from 07-09-2020 to 08-29-2022. FCE1268_Seedling_Density contains biannual count measurements of individuals at the seedling plot level (m^-2) within each site from 07-07-2020 to 08-29-2022. FCE1268_Sapling_Regeneration contains height, crown area, and stem elongation measurements of tagged sapling indiv
Data for Hunting of sika deer over six decades does not restore forest regeneration, Journal of Applied Ecology
<p>Data used for Hunting of sika deer over six decades does not restore forest regeneration.</p>
Wildfires and climate change push low-elevation forests across a critical climate threshold for tree regeneration
Climate change is increasing fire activity in the western United States, which has the potential to accelerate climate-induced shifts in vegetation communities. Wildfire can catalyze vegetation change by killing adult trees that could otherwise persist in climate conditions no longer suitable for seedling establishment and survival. Recently documented declines in postfire conifer recruitment in the western United States may be an example of this phenomenon. However, the role of annual climate variation and its interaction with long-term climate trends in driving these changes is poorly resolved. Here we examine the relationship between annual climate and postfire tree regeneration of two dominant, low-elevation conifers (ponderosa pine and Douglas-fir) using annually resolved establishment dates from 2,935 destructively sampled trees from 33 wildfires across four regions in the western United States. We show that regeneration had a nonlinear response to annual climate conditions, with distinct thresholds for recruitment based on vapor pressure deficit, soil moisture, and maximum surface temperature. At dry sites across our study region, seasonal to annual climate conditions over the past 20 years have crossed these thresholds, such that conditions have become increasingly unsuitable for regeneration. High fire severity and low seed availability further reduced the probability of postfire regeneration. Together, our results demonstrate that climate change combined with high severity fire is leading to increasingly fewer opportunities for seedlings to establish after wildfires and may lead to ecosystem transitions in low-elevation ponderosa pine and Douglas-fir forests across the western United States.
Global agricultural land use scenarios for estimating the potential of forest regeneration for climate mitigation to 2050
<p>The dataset includes 90 global food system and land use scenarios developed with the model BioBaM-GHG 2.0. The scenarios have been developed for assessing the global potential of forest regeneration for climate mitigation to 2050 under various food system pathways, i.e. diets, crop yield developments, land requirements for energy crops, and two variants of grassland use.</p> <p>The scenarios include the following data on country level: Land use and land-use change, cropland area by crop group, grazing area by quality classes, crop production by crop groups, crop consumption by crop groups and use types, crop wastes (losses), net imports/exports, production and consumption of animal products, grass supply and demand, GHG emissions from land-use change, GHG emissions from agricultural activities, and total cumulated GHG emissions.</p> <p>The main model result in this context, cumulative carbon sequestration from forest regeneration until 2050, is calculated as difference between the parameters "GHG emissions from land use change (cumulative) (Mt CO2e)" and "GHG emissions from land use change excluding C stock changes from natural succession (cumulative) (Mt CO2e)".</p> <p>Please refer to the related publication "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0" (Kalt et al., 2021 - currently under review at Ecological Modelling) for further information.</p> <p>This work was funded by the Austrian Science Fund (FWF) within project P29130-G27 GELUC.</p>
Data from: Thinning and prescribed burning increase shade-tolerant conifer regeneration in a fire excluded mixed-conifer forest
<p>Fire exclusion and past management have altered the composition, structure, and function of frequent-fire forests throughout western North America. In mixed-conifer forests of the California Sierra Nevada, fire exclusion has exacerbated the effects of drought and endemic bark beetles, resulting in extensive mortality of fire-adapted pine species. Thinning and prescribed fire are widely used in these forests to reduce fuels, moderate fire behavior, and restore ecosystems. Tree regeneration influences future forest composition and structure, and therefore future resilience to disturbances, but long-term effects of thinning and prescribed burning on tree regeneration after prolonged fire exclusion are poorly understood. We measured tree regeneration one year prior to, and periodically for 16 years following thinning and prescribed burning in a mixed-conifer forest in the Sierra Nevada, California, USA. We asked three questions. How did the composition and density of tree regeneration change after thinning and prescribed burning? Did pretreatment vegetation types influence conifer regeneration density after treatments? Did planting after overstory thinning increase regeneration density of native pine species?</p> <p>Sixteen years after treatments, combined natural regeneration of shade-tolerant white fir (Abies concolor) and incense-cedar (<em>Calocedrus</em> <em>decurrens</em>) averaged 2,032 trees per hectare (tph) after understory thinning, and 7,745 tph after understory thinning combined with prescribed burning, increases of 37% and 146% from pretreatment densities. In contrast, combined natural regeneration of white fir and incense-cedar averaged 497 tph after overstory thinning, 780 tph after overstory thinning with prescribed burning, 113 tph after prescribed burning alone, and 807 tph in untreated controls, all of which were declines from pretreatment densities. Natural regeneration of white fir and incense-cedar was consistently an order of magnitude greater than Jeffrey pine (<em>Pinus</em> <em>jeffreyi</em>) and sugar pine (<em>Pinus</em> <em>lambertiana</em>), whose combined densities 16 years after treatments averaged 37 tph across treatments and did not significantly respond to thinning and/or prescribed burning. Natural conifer regeneration after treatments varied by pre-treatment vegetation type (closed canopy, <em>Ceanothus</em> <em>cordulatus</em> shrub-dominated, and open sparse), with large increases of natural regeneration after understory thinning in closed canopy and <em>Ceanothus</em> shrub vegetation types. Planting increased sugar pine regeneration density after overstory thinning, marginally increased Jeffrey pine regeneration after overstory thinning combined with prescribed burning, and increased white fir regeneration after overstory thinning with and without burning. No treatments reduced white fir and incense-cedar natural regeneration while simultaneously increasing natural pine regeneration, suggesting new thinning, burning, and planting approaches may be required to meet regeneration restoration objectives.</p>
Sapling regeneration within canopy gaps in a temperate montane riparian forest.
<p>This is a dataset of sapling regeneration within canopy gaps in a temperate montane riparian forest.</p> <p>The followings are details of each file.</p> <p><strong>GapSeedlings_v1.0.0.csv</strong></p> <ul> <li><code>Plot</code> Integer. The ID of plots, some plots include more than one gap.</li> <li><code>Gap</code> Factor. The ID of gaps.</li> <li><code>Quadrat</code> Integer. The ID of quadrats within a gap.</li> <li><code>stemID</code> Character. The ID of stems.</li> <li><code>Sp.</code> Factor. The species names.</li> <li><code>Family</code> Factor. The family name of the species.</li> <li><code>Substrate</code> Factor. Established substrates. NA means that it was not recorded.</li> <li><code>Heightyyyy</code> Numeric. Vertical heights of trees (cm) in yyyy. The individuals with <code>CensusIn2020</code> = 0, their <code>Height2020</code> is NA because they had not been censused in 2020.</li> <li><code>Lengthyyyy</code> Numeric. Length of trees (cm) in yyyy. The individuals with <code>CensusIn2020</code> = 0, their <code>Length2020</code> is NA because they had not been censused in 2020.</li> <li><code>DBH1_yyyy</code>, <code>DBH2_yyyy</code> Numeric. Diameter at breast height (mm) in yyyy. DBH1 and DBH2 were measured to cross at right angles. The individuals with <code>CensusIn2020</code> = 0, their <code>DBH2020_1</code> and <code>DBH2020_2</code> are NA because they had not been censused in 2020.</li> <li><code>Cmtyyyy</code> Character. Comments in yyyy.</li> <li><code>CensusIn2020</code> Factor. 1 means that the plot was censused in 2020, 0 does not.<br> </li> </ul> <p><strong>Map_Gaps.pdf</strong><br> <code>p. 1</code>: The overall picture of the positional relations between each gap.<br> <code>pp. 2-19</code>: The details of gaps.</p> <p> </p> <p><strong>Metadata_GapSeedlings.txt</strong><br> Metadata of "<strong>GapSeedlings_v0.1.0.csv</strong>".<br> It is the same as this description.</p>
Figs. 4 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 4 A, B. Effects of Japanese raisintree control method on stem number and survival regarding control, base cut and root removal treatments at different evaluation times (0, 60, 120, and 180 days). The study was conducted in an Araucaria Forest in São João do Triunfo, Paraná.
Figs. 7 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 7 A, B. Effects of Japanese raisintree control method on sapling numbers regarding control, base cut and root removal treatments at different evaluation periods (0, 60, 120, and 180 days after the application of the control method) in an Araucaria Forest in São João do Triunfo, Paraná.
Figs. 3 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 3 A, B. Effects of Japanese raisintree control method on seedling number and percent survival for control, base cut and root removal treatments at different evaluation periods (0, 60, 120, and 180 days). Experiment conducted in an Araucaria Forest in São João do Triunfo, Paraná.
Fig. 2 in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Fig. 2. Spatial distribution of the three tested methods for controlling Japanese raisintree: control (z), root removal () and base cut (), in an Araucaria Forest in the São João do Triunfo municipality, Paraná.
Figs. 5 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 5 A, B. Effects of Japanese raisintree control method on stem height regarding control, base cut and root removal in treatments at different evaluation times (0, 60, 120, and 180 days). The study was conducted in an Araucaria Forest in São João do Triunfo, Paraná.
Figs. 1A-C in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 1A-C. Application of three methods to control the natural regeneration of Japanese raisintrees. A. control; B. root removal; C. base cut in an Araucaria Forest in São João do Triunfo, Paraná.
Fig. 7 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests
Fig. 7. CCA ordination of carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V. Abbreviations of the environmental variables: N – nitrogen content of soil, C – carbon content of soil, C.N – C/N ratio of soil, Dyf – soil CO 2 efflux rate. (For full names of species, see Table 1).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.