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This dataset is the largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling >3800 observations representing 27 temperature manipulation studies, spanning nine biomes and nearly two decades of warming experiments. Data for this study were obtained from a combination of unpublished data and published literature values. We find that although warming increases soil respiration rates, there is limited evidence for a shifting respiration response with experimental warming. We also note a universal decline in the temperature sensitivity of respiration at soil temperatures >25°C. This dataset includes 3817 observations, from control (n=1812), first (i.e., lowest or sole) level...
Concern over global environmental change and associated uncertainty has given rise to greater emphasis on fostering resilience through forest management. We examined the impact of standard silvicultural systems (including clearcutting, shelterwood, and selection) compared with unharvested controls on tree functional identity and functional diversity in three forest types distributed across the northeastern United States. Sites included the Argonne, Bartlett, and Penobscot Experimental Forests located in Wisconsin, New Hampshire, and Maine, respectively. We quantified functional trait means for leaf mass per area, specific gravity, maximum height, height achieved at 20 years, seed mass, drought tolerance, shade tolerance,...
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This dataset records mortality-- including involvement of bark beetles-- and burn severity information for trees in long term forest dynamics plots in Sequoia National Park and Yosemite National Park that experienced fire. These data support the following publication: Furniss, T.J., Das, A.J., van Mantgem, P.J., Stephenson, N.L. and Lutz, J.A., 2021. Crowding, climate, and the case for social distancing among trees. Ecological Applications, p.e2507, https://doi.org/10.1002/eap.2507
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These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices, terrain characteristics, and-- for the calibration data-- tree size and growth rates. Calibration data (mixedconifervulnerability_calibrationdataset.csv) were collected in long term research plots where trees are visited annually to check for mortality and periodically re-measured for diameter to capture growth. Validation data (mixedconifervulnerability_validationdataset.csv) were collected as part of a randomized sample located within a remote sensing 'flight box'. Remote sensing indices and terrain variables for both datasets were extracted from National...
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This volume's release consists of 281258 media files captured by autonomous wildlife monitoring devices under the project, SiMPL Wildlife Magnet Project. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files. Some of the media files may have been "tagged" or "annotated" by either...
Categories: Data; Tags: Aegolius acadicus, Alces americanus americanus, Canis latrans, Canis lupus, Catharus guttatus, All tags...
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These data describe tree mortality and the factors associated with tree mortality for a variety of plots in Sequoia National Park. Most of the data were collected between 2014 and 2017 (during an extremely severe drought), along with some comparison data from 2004 to 2007. These data support the following publication: Stephenson, N.L., Das, A.J., Ampersee, N.J., Bulaon, B.M., and Yee, J.L., In review. Which trees die during drought? The key role of insect host-tree selection, Journal of Ecology
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This volume's release consists of 46576 media files captured by autonomous wildlife monitoring devices under the project, Dartmouth College Woodlands Wildlife Monitoring Project. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields in other CSV files. Some of the media files may have been "tagged"...
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This dataset was used as part of a continent-wide analysis of tree fecundity and its association with climate and tree size. This dataset consists of: plotinfo.csv, which contains basic attribute information for the field plots where the data were collected; seeddata.csv, which contains the data for seeds collected (how many, what type, etc.); trapxycoord.csv, which contains location and identification information for the seed traps used to collect the seeds; treexycoord.csv, which contains location and attribute information for the standing trees in the plot where the seeds were collected; and treedata.csv, which contains data on the size and species of standing trees in the plot where the seeds were collected.


    map background search result map search result map Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017 Seed and Associated Tree Data from Long Term Research Plots in Sequoia and Yosemite National Parks (ver. 2.0, December 2024) Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019 SiMPL Wildlife Magnet Project Data Release Volume 1 (2019 - 2023) Dartmouth College Woodlands Wildlife Monitoring Project Volume 1 (2014 - 2024) Dartmouth College Woodlands Wildlife Monitoring Project Volume 1 (2014 - 2024) Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017 Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019 SiMPL Wildlife Magnet Project Data Release Volume 1 (2019 - 2023) Seed and Associated Tree Data from Long Term Research Plots in Sequoia and Yosemite National Parks (ver. 2.0, December 2024) Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis