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310 results for “Tree growth”
Variations in tree growth provide limited evidence of species mixture effects in Interior West U.S.A. mixed-conifer forests
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Cross-biome synthesis of source versus sink limits to tree growth
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Data for: Red foxes enhance long-term tree growth near the Arctic treeline
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Trees have similar growth responses to first-entry fires and reburns following long-term fire exclusion
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The trait-mediated trade-off between growth and survival depends on tree sizes and environmental conditions
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Stomatal conductance and tree growth response to multi-year droughts in fire-maintained and fire-excluded forests
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Pantropical tree rings show small effects of drought on stem growth
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Data for: Hardwoods influence effect of climate and intraspecific competition on growth of woodland longleaf pine trees
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Datasets for microsatellite genotype for natural populations and seedlings from six mother trees, and seedling survival and growth records
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Annual tree growth for Red and Sugar Maples in six forest plots distributed around Ann Arbor, MI and around the University of Michigan Biological Station (UMBS), 1999 to 2022
The dataset contains the annual growth, in mm, of over 200 red and sugar maple trees. All trees are located in established study sites in the vicinity of Ann Arbor or UMBS.
Monthly litterfall, monthly tree band, and annual tree growth of a South Carolina coastal wetland forest
In the southern United States, forested wetlands are of special interest because of the extent of these forests. One of the problems in developing management practices for these areas is the difficulty in adequately describing productivity relations and predicting how the structure and function of these communities might be affected by natural or anthropogenic disturbances. Community response to environmental change often occurs over a period of years, and the majority of reported studies are for 1–3 years in duration. This study was initiated in an attempt to examine long-term changes in forest systems in response to drought, flooding, hurricanes, and climate change. This study documents long-term changes in structure, composition, and growth along a gradient of high water table forested sites of an ancient beach ridge landscape in coastal South Carolina. Permanent study plots (20-m x 25-m) were established across a moisture gradient (Xeric, Mesic, and Hydric – 5 plots in each) within a longleaf pine-swamp blackgum forest system on the southern end of the Waccamaw Neck area of Georgetown County, SC in January 2000. Litterfall was measured monthly using five 0.25 m2 litter traps in each plot beginning in February to December 2018. Monthly circumference change was recorded on a subset of trees within each plot using stainless steel dendrometer bands. Diameter of all trees greater than or equal to 10 cm diameter at breast height in each plot was recorded annually at the end of the growing season.
Data and R code for “Tree growth response to shifting soil nutrient economy depends on mycorrhizal associations”, New Phytologist, 2019.
The mycorrhizal-associated nutrient economy hypothesis proposes a strong connection between plant and fungal traits and the dominant form of soil nutrients. If true, then shifting from an organic to an inorganic nutrient economy should benefit arbuscular mycorrhizal (AM) trees because they are more suited to acquiring inorganic forms of nutrients and have limited decomposing capabilities when compared to ectomycorrhizal (ECM) trees. An inorganic nutrient economy was experimentally promoted by applying inorganic phosphorus (P) fertilizer and/or elevating soil pH with lime in three Allegheny Plateau mixed mesophytic forests. Trees were measured over seven growing seasons to determine how growth responded to the treatments based on mycorrhizal association. AM-associated trees showed increased growth in response to increased inorganic nutrients, but ECM tree growth was suppressed when compared to the control. We also observed that understory and mid-story trees responded to the treatments, but large overstory trees showed no significant growth response. Results support the hypothesis that AM trees respond positively to an inorganic nutrient economy. While raising pH in acidic soils can be detrimental to ECM tree growth, the exact mechanism for this response is unclear
Growth and survival of seedlings of 14 species of lowland rainforest trees planted in the La Guaria Annex (Canada Plot) of La Selva Biological Station, Costa Rica, in 1986 and measured every six months or every year until 1992 (Part 1 of 2)
During the 1960s, 1970s, and 1980s, Costa Rica’s old growth forests were being cut to clear land for cattle pastures and large-scale agriculture. Timber concessions were also growing pine, gmelina, and other non-native trees for harvesting. The Costa Rican government was developing plans for a reforestation program and for a Payment for Environmental Services program to combat forest loss. At this time there were no data available on the growth of native trees species. The TRIALS project (starting with the CANADA Plot) was designed by OTS (Organization for Tropical Studies) and the DGF (Dirección General Forestal) to measure the growth and survival of native tree seedlings planted on abandoned pasture lands at the La Selva Biological Station. Data from these seedlings formed the basis of the reforestation law and the Payments of Ecosystem Services (PES) plan and this model was replicated in many other areas of Costa Rica.
Growth and survival of seedlings of 14 species of lowland rainforest trees planted in the La Guaria Annex (Canada Plot) of La Selva Biological Station, Costa Rica, in 1986 and measured every six months or every year until 1992 (Part 2 of 2)
During the 1960s, 1970s, and 1980s, Costa Rica’s old growth forests were being cut to clear land for cattle pastures and large-scale agriculture. Timber concessions were also growing pine, gmelina, and other non-native trees for harvesting. The Costa Rican government was developing plans for a reforestation program and for a Payment for Environmental Services program to combat forest loss. At this time there were no data available on the growth of native trees species. The TRIALS project (starting with the CANADA Plot) was designed by OTS (Organization for Tropical Studies) and the DGF (Dirección General Forestal) to measure the growth and survival of native tree seedlings planted on abandoned pasture lands at the La Selva Biological Station. Data from these seedlings formed the basis of the reforestation law and the Payments of Ecosystem Services (PES) plan and this model was replicated in many other areas of Costa Rica.
Average Tree Growth (DBH,Circumfrance,and BasalArea) at LTTG Sites, 1969-Present: Yearly
This data set is a collection of tree growth measurements from a large number of research plots. Each plot is either a stand control plot or has a treantment aplied to it (Fertilization, Thinning, or combination).
Tree Growth data taken at LTTG sites, 1969-Present: Reported Yearly
This data set contains tree growth data from factoral fertilized treatment plots set up as part of the Long Term Tree Growth research study. Selected trees were measured with diameter tapes each fall.
Tree growth (height and average basal area increment) and herbivory measurements 20 years after the 1994 Hajdukovich Creek burn
This dataset contains height, diameter at breast height, and average basal area increment of aspen and black spruce from historical sites established in the Hajdukovich Creek burn. 12 pre-established sites were used, 6 from both low and high fire severity. Sites were sampled in 2014, 20 years after the fire. Furthermore, for each individual the distance from sampling point (plotless density), levels of past herbivory, health, basal age (number of tree rings visible from basal disk), age of the tree at 3 meters height, and age and height of some collected twig clusters (evidence of past herbivory) is included.
Growth-mortality relationships for southern Appalachian trees from the Coweeta Hydrologic Laboratory in 1995
Ecologists and foresters have long noted a link between tree growth rate and mortality, and recent work suggests that interspecific differences in low growth tolerance is a key force shaping forest structure. Little information is available, however, on the growth-mortality relationship for most species. We present three methods for estimating growth-mortality functions from readily obtainable field data. All use annual mortality rates and the recent growth rates of living and dead individuals. Annual mortality rates are estimated using both survival analysis and a Bayesian approach. Growth rates are obtained from increment cores. Growth-mortality functions are fitted using two parametric approaches and a non-parametric approach. The three methods are compared using bootstrapped confidence intervals and likelihood ratio tests. For two example species, Acer rubrum and Cornus florida, growth-mortality functions indicate a substantial difference in the two species abilities to withstand slow growth. Both survival analysis and Bayesian estimates of mortality rates lead to similar growth-mortality functions, with the Bayesian approach providing a means to overcome the absence of long-term census data. In fitting growth-mortality functions, the non-parametric approach reveals that inflexibility in parametric methods can lead to errors in estimating mortality risk at low growth. We thus suggest that non-parametric fits be used as a tool for assessing parametric models.
Data from: Intra-specific variation in tree growth responses to neighborhood composition and seasonal drought in a tropical forest
<p>1. Functional traits are expected to provide insights into the abiotic and biotic drivers of plant demography. However, successfully linking traits to plant demographic performance likely requires the consideration of important contextual and individual-level information that is often ignored in trait-based ecology.</p> <p>2. Here, we modeled 8 years of growth from 1,138 individual trees from 36 tropical rain forest species. We compared models of tree growth parameterized using individual-level versus species mean trait data. We also compared models that considered regional climatic, local biotic and whole-plant allocation contexts to those that do not.</p> <p>3. Our analyses show that growth models parameterized using individual-level trait information outperformed those that used species mean trait information and that these models often contradicted one another indicating that the common practice of using species mean trait data requires more scrutiny. Additionally, we found that models including climatic, biotic and allocation contexts outperformed those that did not and provide nuanced insights into the drivers of tree growth in a tropical forest.</p> <p>4. Synthesis. Here, we have shown that the development of models of tree demographic performance upon the basis of traits can be improved through a consideration of individual-level trait variation as well as phenotypic and climatic contexts. We highlight that our ability to understand the drivers of tree population and community structure and dynamics in current and in future climates will be limited if contextual and individual-level data remains understudied.</p>
Spatial heterogeneity in soil pyrogenic carbon mediates tree growth and physiology following wildfire
<table> <tbody> <tr> <td>Pyrogenic carbon (PyC) is a ubiquitous legacy of wildfire in terrestrial soils, yet how it affects the growth and function of regenerating plants has received little research attention.<br> <br> We examined responses to a natural gradient of PyC deposition five years following a severe fire in a northern boreal forest, based on measurements of growth (height, basal area increment, and leader extension), physiological performance (Fv/Fm), and foliar nutrition (foliar C, N, P, K, Mg) of Pinus banksiana Lamb. We determined the concentration of PyC, expressed as a dosage (t·ha-1), in mineral soils collected from the rhizospheres of each sapling and used it as an independent factor to model trait responses to increasing PyC levels, in conjunction with measurements of soil physio-chemical properties (pH, EC, VOC, Ash, N, P, K, Ca, and Mg).<br> <br> Quantification and spatial analysis of PyC reveals heterogeneous deposition across the landscape with fine-grained patchiness at scales <0.5 m. In response to this heterogeneity, phenotypic and nutritional adjustments followed dose-dependent response patterns. Beneficial effects of PyC on sapling growth occurred to an optimum point of ~30-60 t·ha-1, while declining patterns were found for trees in dosages exceeding 100 t·ha-1. Some traits were positively and negatively related to soil K and N, respectively, and shared strong negative associations with soil pH and volatile matter.<br> <br> Synthesis. This study supports the longstanding hypothesis that soil PyC enhances growth and physiological function of fire-adapted plants, but indicates that responses are highly dosage-dependent, with natural levels of PyC deposition commonly exceeding an optimum point. These results also suggest that the main mechanisms for observed responses to PyC include: i) enhanced supply of base cations, ii) immobilization of N, and iii) pronounced liming. Future changes in climate are expected to increase fire frequency, particularly in circumpolar boreal forests. We predict shifts in PyC to frequently exceed the threshold resulting in reduced plant growth and ultimately ecosystem productivity.</td> <td> </td> <td> </td> </tr> </tbody> </table>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.