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22,549 results for “AND LTER”
LTER-Italy site Bosco Fontana figure
<p>Geographical representation of the LTER-Italy site Bosco Fontana (LTER_EU_IT_037) - DEIMS-ID <a href="https://deims.org/0585b394-faf2-4850-913f-6351aace73e4">https://deims.org/0585b394-faf2-4850-913f-6351aace73e4</a></p>
LTER-Italy site Laguna di Venezia figure
<p>Geographical representation of the LTER-Italy site Laguna di Venezia (LTER_EU_IT_016) - DEIMS-ID <a href="https://deims.org/f7d94927-17be-4d3d-9810-e3c9bc91829c">https://deims.org/f7d94927-17be-4d3d-9810-e3c9bc91829c</a></p>
LTER-Italy site Monte Rufeno LAZ1 figure
<p>Geographical representation of the LTER-Italy site Monte Rufeno LAZ1 (LTER_EU_IT_034) - DEIMS-ID <a href="https://deims.org/05e96829-e64a-48d3-a96d-de2aa4cde146">https://deims.org/05e96829-e64a-48d3-a96d-de2aa4cde146</a></p>
LTER-Italy site Montagna di Torricchio figure
<p>Geographical representation of the LTER-Italy site Montagna di Torricchio (LTER_EU_IT_033) - DEIMS-ID <a href="https://deims.org/6b62feb2-61bf-47e1-b97f-0e909c408db8">https://deims.org/6b62feb2-61bf-47e1-b97f-0e909c408db8</a></p>
LTER-Italy site Ficuzza SIC1 figure
<p>Geographical representation of the LTER-Italy site Ficuzza SIC1 (LTER_EU_IT_036) - DEIMS-ID <a href="https://deims.org/ec2bba9a-365f-45d8-9e0d-229de0f41332">https://deims.org/ec2bba9a-365f-45d8-9e0d-229de0f41332</a></p>
LTER-Italy site Appennino centrale Velino-Duchessa figure
<p>Geographical representation of the LTER-Italy site Appennino centrale Velino-Duchessa (LTER_EU_IT_025) - DEIMS-ID <a href="https://deims.org/12c79ecb-7890-4b75-9655-0883dacd8a29">https://deims.org/12c79ecb-7890-4b75-9655-0883dacd8a29</a></p>
LTER-Italy site Sacca di Goro figure
<p>Geographical representation of the LTER-Italy site Sacca di Goro (LTER_EU_IT_040) - DEIMS-ID <a href="https://deims.org/b7869194-b220-473a-b035-feeadfa21aba">https://deims.org/b7869194-b220-473a-b035-feeadfa21aba</a></p>
LTER-Italy site Valli di Comacchio figure
<p>Geographical representation of the LTER-Italy site Valli di Comacchio (LTER_EU_IT_041) - DEIMS-ID <a href="https://deims.org/70e1bc05-a03d-40fc-993d-0c61e524b177">https://deims.org/70e1bc05-a03d-40fc-993d-0c61e524b177</a></p>
LTER-Italy site Lago di Garda figure
<p>Geographical representation of the LTER-Italy site Lago di Garda (LTER_EU_IT_044) - DEIMS-ID <a href="https://deims.org/c713db56-373c-46cc-8828-ce8cadc4f3bb">https://deims.org/c713db56-373c-46cc-8828-ce8cadc4f3bb</a></p>
LTER-Italy site Lago di Orta figure
<p>Geographical representation of the LTER-Italy site Lago di Orta (LTER_EU_IT_042) - DEIMS-ID <a href="https://deims.org/8bd7d2f8-421a-48bd-b212-04bc1e9f31d5">https://deims.org/8bd7d2f8-421a-48bd-b212-04bc1e9f31d5</a></p>
LTER-Italy site Val Masino LOM1 figure
<p>Geographical representation of the LTER-Italy site Val Masino LOM1 (LTER_EU_IT_028) - DEIMS-ID <a href="https://deims.org/68a5673c-9172-48cc-88e5-b9408b203309">https://deims.org/68a5673c-9172-48cc-88e5-b9408b203309</a></p>
IISD Experimental Lakes Area: Chemistry of LTER Lakes, 1968-2024
The IISD Experimental Lakes Area (IISD-ELA) Chemistry of LTER Lakes data package provides lake chemistry data from five reference lakes in northwestern Ontario, Canada for the years 1968-2024. This data package includes both tabular data and metadata files. The chemistry data includes the analysis of physical, nutrient, biological, inorganic, and organic parameters for long-term ecological research across lakes 114, 224, 239, 373, and 442. The dataset contains a row for each parameter measured at a specific date, lake, and depth (integrated layer or profile level). Metadata in this data package include a table of location coordinates and record counts and a PDF information sheet. The table of coordinates and counts is useful to know where the lakes and specific sampling sites are located and as an overview of data availability per lake (Lake 239 has the longest and most consistent data record). The info sheet provides additional metadata details about the dataset, including background and uses of the datasets, a data dictionary, diagrams, descriptions of methods and instruments, and additional references. The info sheet also contains a table that lists chemical parameter names and metadata used in this EDI repository alongside their equivalencies in the DataStream repository to help understand differences in naming conventions between the two parallel repository data packages. This data package is ongoing—updates will be provided as data are collected from these lakes in subsequent years. If data are not present here for a specific IISD-ELA lake that you are interested in, please get in touch with us. The data in this chemistry data package on EDI are also published in parallel at the Lake Winnipeg DataStream repository (https://doi.org/10.25976/fq3n-8207). The differences between the two are: the formatting of data and metadata (particularly how integrated sample information is organized across columns, and the differing chemical parameter names and metadata explai
SBC LTER: Reef: Kelp Forest Community Dynamics: Fish abundance (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/17/35. The abstract below was extracted from the Level 0 data package and is included for context: These data describe the abundance and size of fish species as part of SBCLTER's kelp forest monitoring program to track long-term patterns in species abundance and diversity. This study began in 2000 in the Santa Barbara Channel, California, USA. The abundance and size of all taxa of resident kelp forest fish encountered along permanent transects are recorded at nine reef sites located along the mainland coast of the Santa Barbara Channel and at two sites on the north side of Santa Cruz Island. These sites reflect several oceanographic regimes in the channel and vary in distance from sources of terrestrial runoff. In these surveys, fish were counted in either a 40x2m benthic quadrat, or in the water parcel 0-2m off the bottom over the same area. The two tables in this data package include: 1) The annual benthic fish community survey which was conducted on 11 reefs once a year around late July or early August; and 2) The monthly fish survey which was conducted once a month at a subset of the sites (3 of the annual sites) The time period of data collection for the annual benthic fish community survey varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004. The monthly fish survey at ABUR (Transect 1, 2, and 3), AQUE (Transect1), and MOHK (Transect 1) in 2002. The Transect 2 and 3 at ABUR were discontinued in June 2006. See Method
Zooplankton density for all samples collected from Toolik Lake and lakes near the Toolik Field Station, Arctic LTER 2003 - 2017 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-arc/10272/5. The abstract below was extracted from the Level 0 data package and is included for context: Zooplankton density,were taken with a 30 cm diameter plankton net with 156 um mesh plankton netting, for all samples collected from Toolik Lake and lakes near the Toolik Field Station, Arctic LTER from 2003 - 2017. The Arctic is one of the most rapidly warming regions on Earth. Responses to this warming involve acceleration of processes common to other ecosystems around the world (e.g., shifts in plant community composition) and changes to processes unique to the Arctic (e.g., carbon loss from permafrost thaw). The objectives of the Arctic Long-Term Ecological Research (LTER) Project for 2017-2023 are to use the concepts of biogeochemical and community “openness” and “connectivity” to understand the responses of arctic terrestrial and freshwater ecosystems to climate change and disturbance. These objectives will be met through continued long-term monitoring of changes in undisturbed terrestrial, stream, and lake ecosystems in the vicinity of Toolik Lake, Alaska, observations of the recovery of these ecosystems from natural and imposed disturbances, maintenance of existing long-term experiments, and initiation of new experimental manipulations. Based on these data, carbon and nutrient budgets and indices of species composition will be compiled for each component of the arctic landscape to compare the biogeochemistry and community dynamics of each ecosystem in relation to their responses to climate change and disturbance and to the propagation of those responses across the landscape.
[DEPRECATED] MCR LTER: Coral Reef: Long-term Population Dynamics of Acanthaster planci, ongoing since 2005 (Reformatted to ecocomDP Design Pattern)
This ecocomDP formatted dataset is deprecated due to the fact that the focus of the original L0 dataset is population ecology, not community ecology. This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org. This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-mcr&identifier=1039&revision=9 The abstract below was extracted from the Level 0 data package and is included for context: These data describe the abundance of Acanthaster planci, Crown of Thorns Sea stars, surveyed as part of MCR LTER's annual reef fish monitoring program. This study began in 2005 and the dataset is updated annually. The abundances of A. planci observed on a five by fifty meter transect are recorded by a diver using SCUBA. Surveys are conducted between 0900 and 1600 hours (Moorea time) during late July or early August each year. Four replicate transects are surveyed in each of three habitats (forereef, backreef and fringing reef) at six locations, two on each of Moorea's three sides, on the forereef, six locations on the backreef (two on each of Moorea's three sides for a total of 72 individual transects. Transects are permanently marked using a series of small, stainless steel posts affixed to the reef. Transects on the forereef are located at a depth of approximately 12m, those on the backreef are located at a depth of approximately 1.5m and those on the fringing reef are located at a depth of approximately 10m. This monitoring program is consistent with the protocols adopted by the Global Coral Reef Monitoring Network and the Australian Institute of Marine Science for use with the Great Barrier Reef Long-term Monitoring Program. Thes
SBC LTER: Reef: Long-term experiment: biomass of kelp forest species, ongoing since 2008 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/119/7. The abstract below was extracted from the Level 0 data package and is included for context: These data represent values of biomass density for more than 200 species of macroalgae, invertebrates and fish measured in fixed plots at five reefs as part of a long-term experiment designed to evaluate the effects of disturbance to giant kelp on the structure and productivity of the benthic community. Taxon-specific relationships between size and mass were applied to field measurements of species abundance to estimate biomass density of each species. The five reefs (Arroyo Quemado 34°28.048’N, 120°07.031’W; Carpinteria 34°23.474’N, 119°32.510’W; Isla Vista 34°23.275’N, 119°32.792’W; Mohawk 34°23.649’N, 119°43.762’W; and Naples 34° 25.342’N, 119° 57.102’W) ranged in depth from 5.8 m to 8.9 m (MLLW) and were chosen to represent a range of physical and biological characteristics known to influence subtidal macroalgal assemblages in the region. A common (but not always persistent) feature on these reefs was the presence of the giant kelp, which forms a dense canopy at the sea surface that suppresses recruitment and growth of understory algae below it. See Methods for more information. The primary research objective of the Santa Barbara Coastal LTER is to investigate the importance of land and ocean processes in structuring giant kelp (Macrocystis pyrifera ) forest ecosystems. As in many temperate regions, the shallow rocky reefs in the Santa Barbara Channel, California, are dominated by giant kelp forests. Because of their close proximity to shore, kelp forests are influenced by physical and biological processes occurring on land as well as in the open ocean. SBC LTER research foc
SBC LTER: Reef: Annual time series of biomass for kelp forest species, ongoing since 2000 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/50/10. The abstract below was extracted from the Level 0 data package and is included for context: These data are annual estimates of biomass of approximately 225 taxa of reef algae, invertebrates and fish in permanent transects at 11 kelp forest sites in the Santa Barbara Channel (2-8 transects per site). Abundance is measured annually (as percent cover or density, by size) and converted to biomass (i.e., wet mass, dry mass, decalcified dry mass, ash free dry mass) using published taxon-specific algorithms. Data collection began in summer 2000 and continues annually in summer to provide information on community structure, population dynamics and species change. The time period of data collection varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004. See Methods for more information. See Methods for more information. The primary research objective of the Santa Barbara Coastal LTER is to investigate the importance of land and ocean processes in structuring giant kelp (Macrocystis pyrifera ) forest ecosystems. As in many temperate regions, the shallow rocky reefs in the Santa Barbara Channel, California, are dominated by giant kelp forests. Because of their close proximity to shore, kelp forests are influenced by physical and biological processes occurring on land as well as in the open ocean. SBC LTER research focuses on measuring and modeling the patterns, transport, and processing of material constituents (e.g., nutrients
Bonanza Creek LTER: Shrub, Seedling and Sapling Density from 1975 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/530/11. The abstract below was extracted from the Level 0 data package and is included for context: This study is a survey of the density of tall shrubs, saplings, and seedlings at Bonanza Creek LTER Control Plots. Densities have been measured at some sites since 1975 while others began in the mid 1980's. In 2006 methodology was changed in attempt to better capture the spatial variability of shrub and tree species within the research sites. The current method, presented here, uses a 2 meter wide transect along two site boundaries covering 220m2. All seedlings, saplings, and tall shrubs >1m (regardless of species) are counted by species and size class along the transect. The previous method used 4m2 circular plots at 20 points on a 10mx10m grid within the control plot for an area of 80m2. The circular method measured all seedlings, saplings, and a certain set of "tall shrubs", regardless of height. The height requirement creates an issue when comparing the old and new methods for early successional stands. For Alnus and Salix this is likely only a problem in the FP0 sites as they are the only sites with a high density of shrubs shorter than 1m. Shrub community changes at these early successional sites should be analyzed using percent cover data. At the later successional sites most Alnus and Salix shrubs are greater than 1m so the transect method likely does not underrepresent density. The metadata and raw data from the circular method can be found in <a href="http://www.lter.uaf.edu/data/data-detail/id/175"> Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Count (1975 - 2004) </a>.
[DEPRECATED] Aboveground biomass at control and fertilized plots in a Spartina patens-dominated marsh, Rowley River, Plum Island Ecosystem LTER, MA. (Reformatted to ecocomDP Design Pattern)
This ecocomDP data package is about populations rather than communities, and has therefore been deprecated. This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org. This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-pie&identifier=33&revision=16 The abstract below was extracted from the Level 0 data package and is included for context:
PIE LTER surveys of salt marsh breeding birds using point counts in Rowley and Newbury, Massachusetts (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-pie/175/8. The abstract below was extracted from the Level 0 data package and is included for context: This data set contains the results of point count surveys of breeding birds in the salt marshes of the Plum Island Estuary. Surveys have been carried out each year in June beginning in 2004 and are ongoing. Currently six circles of 100 m radius are being surveyed. Three of the circles are in plots that had been regularly hayed and three in unhayed plots. Currently only one of the plots is regularly hayed. 85 species recorded as of 2020. Most frequently encountered are Agelaius phoeniceus, Ammospiza caudacuta, Tringa semipalmata. The Plum Island Ecosystems (PIE) LTER is developing a predictive understanding of the response of a linked watershed-marsh-estuarine system in northeastern Massachusetts to rapid environmental change. Over the last 30 years, surface sea water temperatures in the adjacent Gulf of Maine have risen at 3 times the global average, rates of sea-level rise have accelerated, and precipitation has increased. Coupled with these changes in climate and sea level are substantial changes within the rapidly urbanizing watersheds that influence water, sediment, and nutrient delivery to the marsh and estuary. In PIE IV our focus is on: Dynamics of coastal ecosystems in a region of rapid climate change, sea-level rise, and human impacts. NSF OCE LTER-Plum Island Ecosystems: Dynamics of coastal ecosystems in a region of rapid climate change, sea-level rise, and human impacts.
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Allen Brain Atlas
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