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225 results for “aboveground biomass”
Aboveground biomass from a Spartina patens-dominated salt marsh at Stackyard Rd, Nelson Island, Parker River NWR, Plum Island Ecosystem LTER, Rowley, MA (2019-2025).
Aboveground biomass is determined destructively in a Spartina patens-dominated salt marsh on Nelson Island near Stackyard Rd in the Parker River NWR within the Plum Island Ecosystem (PIE) LTER site, MA.
Parsimonious machine learning for the global mapping of aboveground biomass density
<p>This repository hosts data and code presented in the article "Parsimonious machine learning for the global mapping of aboveground biomass potential". The repository contains a compressed file containing all the code needed to reproduce the methodology that we developed and to analyse its results. We did not upload all the temporary and intermediate data files that are created during the execution of the method. We rather uploaded "milestone" data, i.e. final results or important intermediate ones. This includes the final training dataset, model calibration data, the final trained model, the global data for prediction, the final global map of potential aboveground biomass density (AGBD) at present times (raster files at 1km2 and 10km2 resolution), maps depicting regions where climatic conditions are outside of the training range of positive AGBD instances and maps depicting world regions without trees. </p> <p><strong>Files:</strong></p> <p><a href="../api/records/11580414/draft/files/code.zip/content" target="_blank" rel="noopener noreferrer">code.zip</a> : Compressed directory with all the code needed to reproduce the methodology presented in the manuscript. Contains a README file. Also contains temporary data generated in the process, the training dataset, the trained model, and model calibration data.</p> <p><a href="../api/records/11580414/draft/files/potential_AGBD_Mgha_1km2_contemporary_climate.tif/content" target="_blank" rel="noopener noreferrer">potential_AGBD_Mgha_1km_present_climate_1980_2010.tif</a> : the predicted global potential AGBD under contemporary climate conditions and at a resolution of 1 squared kilometer.</p> <p><a href="../api/records/11580414/draft/files/potential_AGBD_Mgha_1km2_contemporary_climate.tif/content" target="_blank" rel="noopener noreferrer">potential_AGBD_Mgha_10km_</a><a href="../api/records/11580414/draft/files/potential_AGBD_Mgha_1km2_contemporary_climate.tif/content" target="_blank" rel="noopener noreferrer">present_climate_1980_2010.tif</a> : the predicted global potential AGBD under contemporary climate conditions downsampled at a resolution of 10 squared kilometers.</p> <p><a href="../api/records/11580414/draft/files/potential_AGBD_Mgha_1km2_contemporary_climate.tif/content" target="_blank" rel="noopener noreferrer">potential_AGBD_Mgha_10km_model_difference.tif</a> : the difference between our prediction of potential AGBD and the prediction from a complex state-of-the-art model from Walker et al. (2022). </p> <p><a href="../api/records/11580414/draft/files/potential_AGBD_Mgha_1km2_contemporary_climate.tif/content" target="_blank" rel="noopener noreferrer">potential_AGB_Mg_1km_</a><a href="../api/records/11580414/draft/files/potential_AGBD_Mgha_1km2_contemporary_climate.tif/content" target="_blank" rel="noopener noreferrer">present_climate_1980_2010.tif</a> : the predicted global potential pixel-level AGB under contemporary climate conditions downsampled at a resolution of 1 squared kilometers.</p> <p><a href="../api/records/11580414/draft/files/number_predictors_out_of_range.zip/content" target="_blank" rel="noopener noreferrer">number_predictors_out_of_range.zip</a> : tiled maps representing the number of climatic predictors outside of the training range before including 0 AGBD instances in the training dataset. </p> <p><a href="../api/records/11580414/draft/files/tree_absence_map.zip/content" target="_blank" rel="noopener noreferrer">tree_absence_map.zip</a> : tiled maps representing world regions without trees. Based on Crowther et al. (2015) (https://elischolar.library.yale.edu/yale_fes_data/1/).</p> <p><a href="../api/records/11580414/draft/files/potential_agbd_Mgha_climate_envelope.pkl/content" target="_blank" rel="noopener noreferrer">inference_pipeline_potential_agbd_Mgha_climate.pkl</a> : Calibrated model for the prediction of potential AGBD given bioclimatic conditions. </p> <p><a href="../api/records/11580414/draft/files/predictors_data_global.zip/content" target="_blank" rel="noopener noreferrer">predictors_data_global.zip</a> : Global predictors data to apply the model on.</p>
Aboveground biomass Davos, Switzerland
<p>Modelled aboveground forest biomass [t/ha], based on a ground-normalized DSM from high-resolution stereo image matching (see Bühler et al, 2012) and forest inventory plots. </p> <p> </p> <p> </p> <p><em>Bühler, Y., Marty, M., Ginzler, C., 2012. High Resolution DEM Generation in High-Alpine Terrain Using Airborne Remote Sensing Techniques. Trans. GIS 16, 635–647. doi:10.1111/j.1467-9671.2012.01331.x</em></p>
EU volume, increment, aboveground biomass and BCEF libraries
<div> <p>This collection includes, for each EU-27 Member State (excluded Malta and Cyprus) the following database:</p> <div><strong>1. Volume and increment database</strong> (<em>Volume_increment_databse</em>) reporting the merchantable standing volume (in m<sup>3</sup> ha<sup>-1 </sup>under bark) and the net merchantable volume increment (in m<sup>3</sup> ha<sup>-1 </sup>yr<sup>-1 </sup>under bark) of the main forest types identified at country level.</div> <div><strong>2.</strong> <strong>Aboveground biomass and BCEF data</strong> (<em>Volume_biomass_bcef_databse</em>) reporting the total aboveground dry biomass (in t ha<sup>-1</sup>) of the main forest types identified at country level. The total aboveground dry biomass is further distinguished between stem (i.e., merchantable wood biomass excluding bark), bark, branches (including both main and small branches) and foliages. The database also reports the Biomass Conversion and Expansion factors (BCEF, adimensional) derived as the ratio between the merchantable volume associated to each record and the corresponding total aboveground biomass.</div> <div><strong>3.</strong> <strong> Ancillary data</strong> (<em>Volume_biomass_selection</em>) reporting detailed information on the parameters defining the allometric equations applicable to each forest type and country specific combinations of classifiers. A second file (<em>vol_to_biomass_best_match</em>) reports the RMSE values and the proportion of stemwood to total aboveground biomass associated to the allometric equation associated to each forest type and group of classifiers.</div> <p>All previous data were further scaled, when possible, at sub-national level, and distinguished between forest types (FT, defined according to the leading species reported by National Forest Inventories), management types (MT, mostly distinguishing high-forests and coppices) and management strategies (MS, eventually distinguishing even-aged and uneven-aged forest stands). All data, derived from countries' National Forest Inventory or other public datasources available at country level, were preliminarily harmonized according to a common definition of volume and increment.</p> </div>
Analysis of aboveground biomass in longleaf pine forests in southeast United States, 2015 to 2019
I obtained inventory data from the USDA Forest Inventory and Analysis (FIA) program, covering 1999 to 2022, focusing on eight southeastern states in the U.S. (Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, and Louisiana). For this study, I filtered the data for 2015-2019, during which the FIA captures 20% of plots in each state annually. Using R, I converted aboveground biomass (AGB) from pounds to kg/ha, tree height from feet to meters, and diameter at breast height (DBH) from inches to centimeters to align with the metric system. Structural diversity of tree height and diameter was calculated using the Shannon diversity index based on tree height and diameter classes. Climate data from PRISM and soil carbon to nitrogen data from the World Soil Database were integrated with the FIA data using the nearest neighbors method in the SF package in R. The combined dataset was standardized for Structural Equation Modeling (SEM) analysis.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Aboveground plant biomass, 2009-2017. (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/275/6, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/501/17. The abstract below was extracted from the Level 0 data package and is included for context: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes aboveground plant biomass from winter warming, summer warming, and control treatment plots at CiPEHR.
Plant aboveground biomass data: BAC: Biodiversity and Climate (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/124/5, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cdr/386/8. The abstract below was extracted from the Level 0 data package and is included for context: Climate changes forecast for our region by GCM???s and shifts in biodiversity and composition each have the potential to alter ecosystem functioning; their interactive effects are unknown. The "BAC" experiment is designed to determine the direct and interactive effects of plant species numbers, plant community composition, temperature, and precipitation on 11 productivity, C and N dynamics, stability, and plant, microbe, and insect species abundances in CDR grassland ecosystems.
Aboveground Live Biomass (2008), Andrews Experimental Forest
The biomass raster was developed by equations in (Seidl, et al 2012). Lidar variables used to create the raster include 95th percentile height, bare earth elevation, and the standard deviation of height in a 35m moving window. Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data from HJ Andrews and the Willamette National Forest (NF) on August 10th and 11th 2008. Total area for this AOI is 17,705 acres. The total area of delivered LiDAR including 100 m buffer is 19,493 acres.
Aboveground plant and belowground stem biomass were measured in moist acidic and moist non-acidic tussock tundra experimental plots, Toolik Field Station, Alaska, Arctic LTER 2000.
Aboveground plant and belowground stem biomass were measured in moist acidic and moist non-acidic tussock tundra experimental plots. Treatments at the acidic site include control and nitrogen (N) plus phosphorus (P) amendments; treatments at the non-acidic site include N, P, N+P, greenhouse warming, and greenhouse+N+P. Note: Version 8 corrected an error where Carex vaginata was listed twice under treatment of "Nitrogen Phosphorus". The tissues with 8 quadrats were "Greenhouse" treatment.
Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Aboveground biomass
This dataset includes aboveground biomass data collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.
Mycorrhizal colonization, age, and aboveground biomass (g) of Nothofagus pumilio seedlings harvested from Variable Retention treatments at Los Cerros Ranch, Tierra del Fuego, Argentina.
This dataset contains data on Nothofagus pumilio seedlings sampled from a Variable Retention (VR) managed forest in Tierra del Fuego, Argentina seven years after harvesting. We evaluated the effects of a VR timber management system on the EMF community associated with N. pumilio seedlings. We quantified the abundance, composition, and diversity of EMF across aggregate (AR) and dispersed retention (DR) sites within a VR managed area and compared them to primary forest (PF) stands. EMF assemblage and taxonomic identities were determined by ITS-rDNA sequencing of individual root tips sampled from 280 seedlings across three landscape replicates of each VR treatment. To better understand seedling performance, we tested the relationships between fungal colonization, fungal taxonomic composition, seedling biomass, and VR treatment across our study sites. This data was collected as a comparative component to a larger project understanding the effect of mycorrizhae on seedling success after various disturbances such as logging and fire that was ongoing at the Bonanza Creek LTER and other arctic locations.
Plant aboveground biomass data: Long-Term Nitrogen Deposition: Population, Community, and Ecosystem Consequences
The purpose of this experiment is to measure how adding nitrogen over a long time will affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. The experiment is being conducted within fields (A, B, C, and D) which were initially low in soil nutrients. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. There are 6 replicates of the 9 treatments in fields A, B, and C and 5 replicates in field D. The treatments were randomly assigned to the plots. In fields A, B, and C the plots are in 6 by 9 grids and are 4 by 4 meters in size with 1 meter aisles between plots. In field D the plots are 1.5 by 4 meters and are placed in a 3 by 17 grid. The plots are enclosed by a fence to keep out mammalian herbivores. Gophers are trapped and removed as they appear. Nitrogenfertilizer (NH4NO3) is applied twice per year, once in early May and once in late June. This experiment was begun in 1982 by David Tilman.
Plant aboveground biomass data: Old-Field Chronosequence: Plant Productivity
The goal of this research is to study the change in plant growth and species distribution during succession. Annual plant growth above ground is annually sampled in more than 20 fields from 4 permanently marked 3m x 4m plots in each field. These fields were previously cultivated, but then abandoned from agriculture at various times in the past. The fields were left undisturbed for plants to develop from seeds within the soil or brought into the fields by wind or animals. The fields included in this study are 4, 5, 10, 24, 26, 28, 35, 39, 41, 45, 53, 70, 72, 77 and the Lawrence strip that was abandoned in 1988. This experiment was started in 1987 by lead investigators David Tilman and Johannes Knops. Past work at CDR and elsewhere has demonstrated an overriding influence of fire frequency in maintaining prairie openings and oak savanna at the prairie-forest border. Fire regimes harm some types of species while favoring others and drive light and nutrient dynamics, which in turn drive community functional attributes and diversity levels. Ultimately, fire frequency interacts with climate, N deposition, land use, and biotic invasion to determine the outcomes of tree-grass interactions and the dynamics of vegetation at ecotones such as the prairie-forest border in Minnesota. In 2006 each field was divided in half, and one half randomly chosen for periodic prescribed burning (a fire every other year). We anticipate that the burned half will continue succession to prairie grassland while the unburned half will become white pine stands if seed sources are nearby, or will otherwise undergo extremely slow succession to oaks.
Plant aboveground biomass data: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
Plant aboveground biomass data: BioCON : Biodiversity, Elevated CO2, and N Enrichment
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Plant aboveground biomass data: Natural Enemies, Plant Diversity and Plant Community Composition
The purpose of this experiment is to determine the influences of natural enemies, including plant pathogenic fungi and insect pests, influence plant community composition, productivity, and diversity over time. The experiment is being conducted in a subset of plots within the Big Biodiversity field, including monoculture, 2-species, 4-species, 8-species, 16-species, and 32-species plots. There are 5 different treatments: foliar fungicide, soil drench fungicide, foliar insecticide, the combination of all pesticides, and nontreated control. The pesticides are applied repeatedly throughout the growing season. Within the plots, community productivity, species composition, percent cover, and pest damage are being quantified over time.
Plant aboveground biomass data: The influence of natural enemies on plant community composition and productivity
The purpose of this experiment is to determine the influences of natural enemies, including plant pathogenic fungi and insect pests, influence plant community composition, productivity, and diversity over time. The experiment is being conducted in an old field that is burned every other year. Within the old field, there are 8 blocks, and within each block there are 6 treatments: foliar fungicide, soil drench fungicide, foliar insecticide, mammal exclosure, the combination of all enemy suppression tactics (pesticides and mammal exclosure), and a nontreated control. The pesticides are applied repeatedly throughout the growing season. Within the plots, community productivity, species composition, percent cover, and pest damage are being quantified over time.
Plant aboveground biomass data: The influence of natural enemies on plant community composition and productivity
The purpose of this experiment is to determine the influences of natural enemies, including plant pathogenic fungi and insect pests, influence plant community composition, productivity, and diversity over time. The experiment is being conducted in an old field that is burned every other year. Within the old field, there are 8 blocks, and within each block there are 6 treatments: foliar fungicide, soil drench fungicide, foliar insecticide, mammal exclosure, the combination of all enemy suppression tactics (pesticides and mammal exclosure), and a nontreated control. The pesticides are applied repeatedly throughout the growing season. Within the plots, community productivity, species composition, percent cover, and pest damage are being quantified over time.
DroughtNet: Establishing the International Drought Experiment at Cedar Creek sIDE (savanna IDE) : Aboveground Biomass
Abstract: Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The sIDE (savanna IDE) study will be established in Field D, an oak savanna, and will consist of 3 precipitation treatments (precipitation reduction shelter, inverted shelter as an infrastructure control, no shelter), fully crossed with two fertilization treatments (unamended control or NutNet NPK treatment), and with 5 replicate plots for each of the six treatment combinations, for a total of 30 plots, each 3 by 3 m (2 by 2 m inner area sampled), covered by 3 by 3 m shelters. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many
DroughtNet: Establishing the International Drought Experiment at Cedar Creek tIDE (trait IDE): Aboveground Biomass
Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The tIDE (trait IDE) study will be established in e248 plots in the Big Biodiversity experiment field. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many sites will also measure light availability, root biomass, soil moisture, and decomposition rates of tea bags and tongue depressors. Pre-treatment data will be collected during 2016. The experiment is expected to have minimal impacts on Cedar Creek and on other projects.
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