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724 results for “NPP”
Aspen NPP: average NPP per tree by diameter sizeclass for 4 time periods between 1993 and 2008
This data set is derived from BNZ LTER inventory plots, where DBH of all trees is measured every 3 to 4 years, and increment changes in AG biomass are derived from allometric equations. Data included in this file were obtained from 1993, 1997, 2000, 2004 and 2008 inventories, generating 4 growth increments between 1997 and 2008. Data are reported by diameter sizeclass (10 cm increments), and include NPP increments (averaged across all trees within each landscape and successional stage) for which adequate numbers of trees (typically >5) were present to obtain useful measurements (see N in data file).
Aspen NPP per tree calculated from dendrometer bands annually from 1994 to 2008
This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.
Birch NPP: Tree density and basal area by diameter sizeclass in upland and flooplain mid- and late-successional stands: 1989-2008
This data set is derived from BNZ LTER inventory plots. Stand density and basal area are listed by diameter size class of live Alaskan paper birch trees for each replicate stand within mid- and late- successional upland upland and landscapes by year from 1989-2008.
Birch NPP: average NPP per tree by diameter sizeclass for 4 time periods between 1993 and 2008
This data set is derived from BNZ LTER inventory plots, where DBH of all trees is measured every 3 to 4 years, and increment changes in AG biomass are derived from allometric equations. Data included in this file were obtained from 1993, 1997, 2000, 2004 and 2008 inventories, generating 4 growth increments between 1997 and 2008. Data are reported by diameter sizeclass (10 cm increments), and include NPP increments (averaged across all trees within each landscape and successional stage) for which adequate numbers of trees (typically >5) were present to obtain useful measurements (see N in data file).
Alaska paper birch NPP per tree calculated from dendrometer bands annually from 1994 to 2008
This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.
Balsam Poplar NPP: Tree density and basal area by diameter sizeclass in upland and flooplain mid- and late-successional stands: 1989-2008
This data set is derived from BNZ LTER inventory plots. Stand density and basal area are listed by diameter size class of live balsam poplar trees for each replicate stand within mid- and late-successional upland and floodplain landscapes by year from 1989-2008.
Balsam Poplar NPP: average NPP per tree by diameter sizeclass for 4 time periods between 1993 and 2008
This data set is derived from BNZ LTER inventory plots, where DBH of all trees is measured every 3 to 4 years, and increment changes in AG biomass are derived from allometric equations. Data included in this file were obtained from 1993, 1997, 2000, 2004 and 2008 inventories, generating 4 growth increments between 1997 and 2008. Data are reported by diameter sizeclass (10 cm increments), and include NPP increments (averaged across all trees within each landscape and successional stage) for which adequate numbers of trees (typically >5) were present to obtain useful measurements (see N in data file).
Balsam poplar NPP per tree calculated from dendrometer bands annually from 1994 to 2008
This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.
Alaskan Peatland Experiment: Community structure and productivity data for 2007-2010 V - Moss NPP
This dataset contains net primary productivity (NPP, g/m2/yr) for sphagnum, feather moss, brown moss and dicranum moss types estimated for 2009 and 2010 at both bog and fen sites of the Alaskan peatland experiment. Within the fen site a water table manipulation has been ongiong since 2005, with control, lowered and raised water table treatment plots. Samples at the bog were collected in a plot established within the lowland black spruce permafrost plateau (permafrost), and two plots established within collapse scars embedded within the plateau. One collapse scar formed ~ 45 years ago (old collapse) and the other formed ~ 25 years ago based upon aerial photography provided by the BCEF LTER. The data provided in this data set can be sorted by site and plot.
Alaskan Peatland Experiment: Community structure and productivity data for 2007-2010 VI - Tree Biomass and NPP
This dataset contains both tree biomass and net primary productivity for Picea mariana (living and standing dead) within the bog of the Alaskan Peatland Experiment as measured in the fall of 2010. Plot within the bog include a plot established within the lowland black spruce permafrost plateau (permafrost), and two plots established within collapse scars embedded within the plateau. One collapse scar formed ~ 45 years ago (old collapse) and the other formed ~ 25 years ago based upon aerial photography provided by the BCEF LTER. The data provided in this data set can be sorted by site and plot.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Net Primary Production (NPP) for black spruce (Picea mariana) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes net primary production (NPP) data for black spruce (Picea mariana) in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Net Primary Production (NPP) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes net primary production (NPP) data for dominant tree species in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Soil volumetric water content calculated from neutron hydroprobe data at 15 NPP study sites at the Jornada Basin LTER, 1989-2011 (Deprecated)
This data package contains soil water content data calculated from monthly neutron hydroprobe count measurements made at 15 net primary production (NPP) study locations on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Once a month, neutron probe measurements are made at 10 depths (where possible) at each of 10 access tubes at each of the 15 NPP sites using a neutron probe (CPN Model 503DR Hydroprobe). The raw dataset, also on EDI (knb-lter-jrn.210013001), consists of the count of thermalized neutrons at 30 cm depth intervals to a maximum depth of 300 cm. In this data package, the raw neutron counts have been converted to volumetric water content (VWC) to a maximum depth of 270 cm using calibration equations (deepest probe depths are excluded from VWC calculations). The NPP sites these measurements are made at represent the 5 dominant vegetation types of the Jornada Basin, which consist of 3 shrub (creosotebush, mesquite dune, and tarbush) and 2 grass (upland grassland and playa) types. Three NPP sites are located in each of the types. This data collection is ongoing with new data collected monthly. NOTE: This data package is deprecated and will not be updated in the future. These VWC values were calculated using a now-outdated calibration method. Values of VWC calculated with the improved and fully documented calibration method are available in another EDI data package (knb-lter-jrn.210013003).
S-NPP scene from the 11 march 2015, lvl 1b
<p>S-NPP scene from the 11 march 2015, lvl 1b. Covers northern Europe, Scandinavia. Sensing time: from about 11:15 to 11:30 UTC.</p>
S-NPP VIIRS SDR data 2017-01-28 12:29 UTC
<p>Suomi NPP VIIRS SDR data received and processed at the Norrköping Direct Readout station valid 12:29-12:44 UTC 28/1-2017, covering north and western parts of Europe including Scandinavia and surrounding seas.</p> <p> </p>
A Pixel-scale Corrected Nighttime Light Dataset (PCNL, 1992-2024) Combining DMSP-OLS and NPP-VIIRS
<h1><strong>Updated to 2024! Welcome to download!</strong></h1> <p>We proposed a set of DMSP-OLS and NPP-VIIRS inter-correction methods and produced a pixel-scale corrected nighttime light dataset (PCNL).</p> <p>Two sets of reliable global nighttime light datasets were chosen as the basis. CCNL-DMSP (1992-2013) is a consistent and corrected nighttime light dataset produced from DMSP-OLS. CCNL-DMSP mainly solved three problems of DMSP-OLS, namely, interannual inconsistency, saturation and blooming. The annual VNL-VIIRS dataset available on the Earth Observation Group website was also used, and the monthly median masked data of V21/V22 was selected. Using filtering and employing outlier removal, VNL-VIIRS has removed sunlit, moonlit and cloudy pixels, and has discarded biomass burning pixels.</p> <p>PCNL shows a great temporal and spatial consistency at both the pixel scale and the regional scale.</p> <p> </p> <p><strong>Please refer to the paper for detailed information.</strong></p> <div> <div>Li, S., Cao, X*., Zhao, C., Jie, N., Liu, L., Chen, X., Cui, X., (2023). Developing a Pixel-Scale Corrected Nighttime Light Dataset (PCNL, 1992–2021) Combining DMSP-OLS and NPP-VIIRS. <em>Remote Sensing,</em> 15, 3925. <a href="https://doi.org/10.3390/rs15163925" target="_blank" rel="noopener">https://doi.org/10.3390/rs15163925</a></div> </div> <p> </p> <p><strong>Other recent publications using PCNL:</strong></p> <p>Li, S., Cao, X.*, (2024). Monitoring the modes and phases of global human activity development over 30 years: Evidence from county-level nighttime light. <em>International Journal of Applied Earth Observation and Geoinformation</em>, 126, 103627. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jag.2023.103627" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jag.2023.103627</a></p> <div> <div> <div>Li, S., Cao, X.*, Liu, L., Li, A., (2025). Inequality of divided and shared socio-economic resources in 15-minute cities of China. <em>Geography and Sustainability, </em>100337. <a href="https://doi.org/10.1016/j.geosus.2025.100337" target="_blank" rel="noopener">https://doi.org/10.1016/j.geosus.2025.100337</a></div> </div> </div>
Latitudinal gradient, MEND experiment, and BioGen experiment relating species richness and net primary productivity (NPP)
<p>Aboveground net primary productivity and species richness.</p>
Dataset for ozone imacts on NPP in the North China Plain
<p>Ozone pollution led to an average 25% decrease in NPP in the North China Plain (NCP). This decline is consistent with previous estimates that ranged from 10% to 25%. Productivity of forest trees, crops, and grasses declined significantly, ranging from 36.7% to 47.1%. These results have implications for Chinese crops, as lower crop productivity can negatively affect crop yields. Our study highlights the urgent need for action to mitigate the detrimental effects of ozone pollution on ecosystem health and productivity.</p>
Dataset for ozone imacts on NPP in the North China Plain
<p>Ozone pollution led to an average 25% decrease in NPP in the North China Plain (NCP). This decline is consistent with previous estimates that ranged from 10% to 25%. Productivity of forest trees, crops, and grasses declined significantly, ranging from 36.7% to 47.1%. These results have implications for Chinese crops, as lower crop productivity can negatively affect crop yields. Our study highlights the urgent need for action to mitigate the detrimental effects of ozone pollution on ecosystem health and productivity.</p>
Simulated and real NPP annual map
<p>The project is to reconstruct the NPP maps with tree ring data. We can get the simulated NPP maps 80 years ago using our models.</p>
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International Brain Laboratory public data
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OpenNeuro
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