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58 results for “natural regeneration”
Figure 3 in Natural regeneration in Atlantic Forest Fragments: using ants (Hymenoptera: Formicidae) for monitoring a conservation unit
Figure 3. Non-metric multidimensional scaling (NMDS) Bray-Curtis type for the areas with 1-4 years (grey), 7-12 years (light green), and 14 years (dark green). (Anosim = 0,0001).
Figure 2 in Natural regeneration in Atlantic Forest Fragments: using ants (Hymenoptera: Formicidae) for monitoring a conservation unit
Figure 2. The number of occurrences of trophic guilds along the regeneration gradient in areas of Eucalyptus sp.: 1-4 years (no understory), located in the buffer zone of RPPN Botujuru – Serra do Itapety; 7-12 years (with an understory composed of shrubby vegetation), and 14 years (with an understory displaying both shrubby and arboreal vegetation).
The potential for natural forest regeneration in tropical regions
<p>Extensive forest restoration is a key strategy to meet nature-based sustainable development goals and provide multiple social and environmental benefits. Yet achieving forest restoration at scale requires cost-effective methods. Tree planting in degraded landscapes is a popular but costly forest restoration method, which often results in less biodiverse forests when compared to natural regeneration techniques under similar conditions. Here, we assess the current spatial distribution of pantropical natural forest (from 2000-2016) and use this information to present the first model of the potential for natural regeneration across tropical forested countries and biomes at 30-meter spatial resolution. We estimate that 215 million hectares - an area greater than the entire country of Mexico - have potential for natural forest regeneration, representing an above-ground carbon sequestration potential of 23.4 Gt CO2 (range 21.1-25.7 Gt) over 30 years. Five countries (Brazil, Indonesia, China, Mexico, and Colombia) account for 52% of this estimated potential, showcasing the need for targeting restoration initiatives that leverage natural regeneration potential. Our results facilitate broader equitable decision-making processes that capitalise on the widespread opportunity for natural regeneration to help achieve national and global environmental agendas. </p> <p><em>File descriptions:</em></p> <p><em>pnv_pct_30m - files named with this prefix are the 30m continuous probability predictions of the potential for natural regeneration, stored as integers representing percentages to minimise file sizes </em></p> <p><em>tile_index_number_map.jpg – corresponding locations of the ‘pnv_pct_30m’ tiles </em></p> <p><em>prop pnv v1 1km.tif - for display purposes only (not used in the Williams et al. analysis) the approximately 1km resolution overview raster representing the proportion of the area of each pixel that has the potential for natural regeneration </em></p> <p><em>pnv_bin_30m.zip - this .zip folder contains the 30m resolution binary predictions (where a value of >0.5 is allocated a value of 1, acknowledging users may prefer to use a different threshold for their context) of areas suitable for natural regeneration </em></p> <p><em>The 30m resolution datasets have been tiled into 10 degree latitude/longitude tiles</em></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>
Areas of low natural regeneration potential post-fire in shrublands of southern California (selected years between 2008 and 2020)
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Data from: Demographic costs and benefits of natural regeneration during tropical forest restoration
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Pests and diseases affect the early natural regeneration of the oak (Quercus aliena var. acuteserrata) population
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The natural ‘exclosure effect’ and tree regeneration following post-windstorm salvage logging
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Insect herbivore damages on white spruce growing in plantations and naturally regenerated under-canopy forest stands
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Data from: Edaphic factors, successional status, and functional traits drive habitat associations of trees in naturally regenerating tropical dry forests
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Data from: Seed bank diversity and composition during natural tropical forest regeneration
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Canopy cover and ecological restoration increase natural regeneration of rainforest trees in the Western Ghats, India
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Data from: Structural diversity of naturally regenerating Chinese yew (Taxus wallichiana var. mairei) populations in an ex situ conservation
The Chinese yew (Taxus wallichiana var. mairei) is ranked among the first class of important wild endangered plants in China. However, due to its overexploitation, it now occurs scattered in the forest undergrowth along the Yangtze River Valley. To improve this tree's conservation management, we used structural indices to investigate the structural diversity of naturally regenerating yew populations that have established via ex situ conservation. The results show that most yews had larger non-yew tree neighbors; these were 30–70% larger than their reference trees. Collectively, the average distances between the yews and the three nearest-neighboring trees were short (<3 m). This result suggests that the yews likely face strong interspecific competition from neighbors. In these two forest stands, most of the pole-sized yews are found beneath a single tall neighboring tree (height ≥10 m), and their growth was enhanced under a single neighboring tree but not under two, three or zero neighboring trees. Finally, we recommend simple silvicultural treatments to reduce interspecific competition; specifically, the cutting or pruning of branches of large neighboring trees in tandem with the thinning of canopy trees growing next to the mother yews.
Data from: Large ecosystem service benefits of assisted natural regeneration
China manages the largest monoculture plantations in the world, with 24% being Chinese fir plantations. Maximizing the ecosystem services of Chinese fir plantations has important implications in global carbon cycle and biodiversity protection. Assisted natural regeneration (ANR) is a practice to convert degraded lands into more productive forests with great ecosystems services. However, the quantitative understanding of ANR ecosystem service benefits is very limited. We conducted a comprehensive field manipulation experiment to evaluate the ANR potentials. We quantified and compared key ecosystem services including surface runoff, sediment yield, dissolved organic carbon export, plant diversity, and aboveground carbon accumulation of ANR of secondary forests dominated by Castanopsis carlesii to that of Chinese fir and C. carlesii plantations. Our results showed that ANR of C. carlesii forest reduced surface runoff and sediment yield up to 50% compared with other young plantations in the first 3 years and substantially increased plant diversity. ANR also reduced the export of dissolved organic carbon by 60–90% in the first 2 years. Aboveground biomass of the young ANR forest was approximately 3–4 times of that of other young plantations, while aboveground biomass of mature ANR forests was approximately 1.4 times of that of mature Chinese fir plantations of the same age. If all Chinese fir plantations in China were replaced by ANR forests, potentially 0.7 Pg more carbon will be stored in aboveground in one rotation (25 years). The results indicate that ANR triggers positive feedbacks among soil and water conservation, biodiversity protection, and biomass accumulation and thereby enhances ecosystem services.
Data from: Natural regeneration on seismic lines influences movement behaviour of wolves and grizzly bears
Across the boreal forest of Canada, habitat disturbance is the ultimate cause of caribou (Rangifer tarandus caribou) declines. Habitat restoration is a focus of caribou recovery efforts, with a goal to finding ways to reduce predator use of disturbances, and caribou-predator encounters. One of the most pervasive disturbances within caribou ranges in Alberta, Canada are seismic lines cleared for energy exploration. Seismic lines facilitate predator movement, and although vegetation on some seismic lines is regenerating, it remains unknown whether vegetation regrowth is sufficient to alter predator response. We used Light Detection and Ranging (LiDAR) data, and GPS locations, to understand how vegetation and other attributes of seismic lines influence movements of two predators, wolves (Canis lupus) and grizzly bears (Ursus arctos). During winter, wolves moved towards seismic lines regardless of vegetation height, while during spring wolves moved towards seismic lines with higher vegetation. During summer, wolves moved towards seismic lines with lower vegetation and also moved faster near seismic lines with vegetation <0.7 m. Seismic lines with lower vegetation height were preferred by grizzly bears during spring and summer, but there was no relationship between vegetation height and grizzly bear movement rates. These results suggest that wolves use seismic lines for travel during summer, but during winter wolf movements relative to seismic lines could be influenced by factors additional to movement efficiency; potentially enhanced access to areas frequented by ungulate prey. Grizzly bears may be using seismic lines for movement, but could also be using seismic lines as a source of vegetative food or ungulate prey. To reduce wolf movement rate, restoration could focus on seismic lines with vegetation <1 m in height. However our results revealed that seismic lines continue to influence wolf movement behaviour decades after they were built, and even at later stages of regeneration. Therefore it remains unknown at what stage of natural regeneration, if any, wolves cease to respond to seismic lines. To reduce wolf response to seismic lines, active restoration tactics like blocking seismic lines and tree planting, along with management of alternate prey, could be evaluated.
Data from: Topsoil removal through scarification improves natural regeneration in high-graded Nothofagus old-growth forests
1.High grading by removing the majority of trees with superior timber quality has led to loss of productivity and biodiversity in forests. Typically, after high grading, little attention is given to tree regeneration. Thus, undesirable understory vegetation often dominates for a long time, leading to stagnation in forest recovery and so-called arrested succession. In such settings, managing understory vegetation using topsoil removal through scarification has been proposed as a restoration tool to encourage tree regeneration. 2.We investigated the effectiveness of topsoil removal as a restoration technique in high-graded Nothofagus old-growth forests in the Chilean Andes. In these forests, high grading often leads to understories being dominated by dense thickets of native bamboo, Chusquea culeou. These understory conditions typically delay succession by preventing tree regeneration. 3.T-tests were used to compare vegetation development in areas with topsoil removal against those without. Non-parametric multiplicative regression (NPMR) was used to investigate which environmental variables were mainly related to regeneration of different plant groups (short and long-lived early and late-seral tree species) and C. culeou abundance in areas with and without topsoil removal. 4.Topsoil removal improved the regeneration of early-seral tree species and constrained C. culeou. In areas without topsoil scarification, higher abundances of C. culeou were reflected in a higher transmitted radiation and litter cover. In these areas, the presence of early-seral tree species was related to higher soil water content and transmitted radiation. However, topsoil removal altered these response patterns for early-seral trees. For instance, the interaction between higher soil water content and more exposed mineral soil was reflected in a higher likelihood of finding early-seral tree seedlings. 5.Synthesis and applications. Topsoil removal was a successful restoration tool for overcoming arrested succession in Nothofagus old-growth forests in the Chilean Andes by encouraging the regeneration of early-seral trees in high-graded forests. Contrasting environmental conditions of pre- and post-topsoil removal allowed insights into the processes and mechanisms responsible for forests with arrested succession and for succession progression. This understanding provides guidance regarding the range of conditions under which topsoil removal can be used as a successful restoration practice.
Genetic divergence in the natural regeneration of black poplar along the Vistula River in Poland
<p><strong>The dataset comprises nuclear microsatellite data (PCR products lengths) used in the paper "Genetic divergence in the natural regeneration of black poplar along the Vistula River in Poland".</strong></p> <p><strong>Abstract: </strong>Many years of land use transformation within river valleys have drastically changed these ecosystems. Black poplar is a tree species characteristic of riparian habitats. Unfortunately, due to specific environmental requirements, its populations have difficulties with natural regeneration. Here, we genotyped 623 black poplar individuals from four populations located along different sections of the Vistula River. This river, which is the largest in Poland, is characterized by the variable degrees of regulation and transformation of its natural environment. Each black poplar population consisted of a group of mature trees and a group of naturally regenerated trees. Our main goal was to assess the differences between the gene pools of mature trees and natural regenerations. The results showed that all populations were characterized by high and comparable values of the parameters of genetic diversity. Despite this, we distinguished 2-3 genetic clusters (depending on the method). The genetic differentiation among the natural regeneration groups was almost twice as high as that among the mature tree groups. The gene pools of most natural regenerations diverged from the gene pools of mature tree groups except for one population. This was also the only population where fully generative regeneration occurred, growing in the least transformed middle section of the river. Our research confirms the need to monitor seedlings and saplings along major rivers and to conduct molecular analyses to assess their gene pools. It can be assumed that due to the lack of suitable areas for seed germination, black poplar will reproduce mainly vegetatively, which may be a way to ensure the survival of the species. However, the adaptive potential of the youngest generations is unknown, especially in the face of progressive climate change. We conclude that to preserve black poplar genetic resources, ex situ protection in the form of local clone archives is necessary.</p>
Natural forest regeneration is projected to reduce local temperatures
<h3>Description of the data and file structure</h3> <p>This repository contains the data related to <strong>Figure 1</strong> and <strong>Figure 2</strong> from the article titled:<br><strong>"Natural Forest Regeneration is Projected to Reduce Local Temperatures"</strong>.</p> <p><strong>Update:</strong><br>All raw data produced in this study will be made available in an upcoming update.</p> <p>For further information or access to the data, please contact:<br><strong>Sara Alibakhshi</strong><br>Email: sara.alibakhshi@gmail.com</p> <h3>Code/software</h3> <p>All code and functions used in this study were executed using the built-in functions and APIs provided by Google Earth Engine (GEE). The random forest model used in this study can be found <a href="https://developers.google.com/earth-engine/apidocs/ee-classifier-smilerandomforest" target="_blank" rel="noopener">here(opens in new window)</a>.</p> <p> </p> <p>***This research was supported by the Finnish Research Impact Foundation.***</p>
Data from: Genetic structure of a naturally regenerating post-fire seedling population: Pinus halepensis as a case study
To study the effects of wildfire on population genetics of a wind pollinated and wind dispersed tree, we have analyzed the genetic structure of a post-fire, naturally regenerating seedling population of Pinus halepensis Miller, on Mt. Carmel, Israel. We tested the existence of spatial genetic structure, which is expected due to the special spatial demographic structure of the post-fire seedling and sapling populations of this species. Explicitly, we asked whether or not seedlings that germinated under large, burned, dead pine trees are also their offspring. The results revealed that the post-fire seedling population is polymorphic, diverse, and reflects the pre-fire random mating system. In contrast to our prediction, we found no division of the post-fire seedling population to distinct sub-populations. Furthermore, as a result of post-fire seed dispersal to longer range than the average pre-fire inter-tree distance, seedlings found under individual burned trees were not necessarily their sole offspring. Although the population as a whole showed a Hardy-Weinberg equilibrium, significant excess of heterozygotes was found within each tallest seedlings group growing under single, large, burned pine trees. Our finding indicates the possible existence of intense natural selection for the most vigorous heterozygous genotypes that are best adapted to the special post-fire regeneration niche, which is the thick ash bed under large, dead, pine trees.
The vegetation composition, structure and regeneration status of Gole Natural Forest, West Arsi Zone, Oromia Regional State, Ethiopia
<p>This study was conducted in Gole natural forest (Dodola) West Arsi Zone of Oromia Regional State, Ethiopia. The study was intended to investigate the vegetation composition, structure, community types and the regeneration status. To collect the vegetation data, systematically 62 plots 20 m × 20 m (400 m<sup>2</sup>) were established at 100 m interval, starting from the top of the mountain. Tree and shrub species were counted and their cover abundance value was estimated. The data for herbaceous species were collected from five 2 m × 2 m sub-plots laid at the four corners each and one at the centre of the main plot. Height and diameter at breast height (DBH) of all woody species taller than 1.5 m and thicker than 2 cm were measured. R package was applied for cluster analysis. Indicator species analysis was performed in R Interpolated species accumulation curves. Estimate S 8.2 Software and Microsoft Excel were used to analyze the data. Rarefaction was applied to compare the species richness of the plant communities in the study area. Sorensen's similarity coefficient was used to detect similarities and dissimilarities among communities.</p> <p>A total of 114 plant species belonging to 57 families and 94 genera were identified. The most dominant families were Asteraceae, followed by Acanthaceae and Lamiaceaae. Out of 114 species 17 were endemic to Ethiopia. The study showed that high density was seen at lower height and DBH classes. Five plant community types were identified. The rarefaction revealed that there is difference in species richness among communities. The Sorensen's similarity index showed that, there was a difference in the distribution of plant species composition among the five plant communities.</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.
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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.