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12 results for “global environmental change”
Observed phenological indicators and environmental drivers at global change experiments at the Jornada Basin LTER site, 2014-2020
This dataset contains plant phenological data extracted from phenocams installed at a global exchange experiment involving Chihuahuan desert plant communities at the Jornada Basin LTER site in southern New Mexico, U.S.A. Cycles of plant growth, termed phenology, are tightly linked to environmental controls, and our overarching objective in this study is to determine if temperature or precipitation are relatively more important for determining shrub and grass greenup date (start of season) and senescence date (end of season). At these camera locations, we experimentally manipulated incoming precipitation at the Jornada Basin LTER for over a decade and recorded plant leaf phenology at the daily scale for seven years using phenocams. The data here are derived from raw "phenocam" camera data collected at two ongoing studies at the Jornada Basin LTER site, one studying ecosystem responses to long term changes in water and nitrogen availability, and one studying plant productivity and partitioning responses to water availability and herbivory (studies 349 and 456, respectively). Phenocams at the sites have collected images since 2014, and basic color and greenness data extracted from those images are available in a companion dataset on EDI (knb-lter-jrn.210574001). This dataset includes the derived annual and quarterly phenological indices and greenness indices for each plot monitored by phenocams, and temperature and precipitation variables aggregated to the same frequency. The dataset also includes R code and input files used to generate these derived data. See Currier and Sala 2022 for more details. This study is ongoing.
Environmental behavior of novel "smart" anti-corrosion nanomaterials in a global change scenario
<div>The present dataset contains dynamic light scattering data and quantification of anions (corrosion inhibitors) and target metals (Zn and Al) in saltwater dispersions aiming to assess and compare the environmental behavior of four anti-corrosion nanomaterials in the following conditions: “temperate seawater” (T=20 ºC, pH=8.0, without HA); “tropical seawater” (T=30 ºC, pH=8.0, without HA), “acidified temperate seawater” (T=20 ºC, pH=7.6, without HA), “acidified tropical seawater” (T=30 ºC, pH 7.6, without HA); “temperate seawater enriched with natural organic matter (NOM)” (T=20 ºC, pH=8.0, with HA); “tropical seawater enriched NOM” (T=30 ºC, pH=8.0, with HA).</div> <div> </div> <div> </div>
Data from: Projected loss of brown macroalgae and seagrasses with global environmental change
<p>Data associated with the paper "Projected loss of brown macroalgae and seagrasses with global environmental change" by Federica Manca, Lisandro Benedetti-Cecchi, Corey J. A. Bradshaw, Mar Cabeza, Camilla Gustafsson, Alf M. Norkko, Tomas V. Roslin, David N. Thomas, Lydia White, Giovanni Strona</p>
Net effect of environmental fluctuations in multiple global-change drivers across the tree of life
<p>This dataset contains the raw data presented in the article and supplementary material by M. J. Cabrerizo and E. Marañón entitled: "<strong>Net effect of environmental fluctuations in multiple global-change drivers across the tree of life"</strong></p>
Impacts of global environmental change drivers on non-structural carbohydrates in terrestrial plants
Open the record for dataset details and reuse information.
Data from: Plant functional diversity modulates global environmental change effects on grassland productivity
1. Although much research has explored changes in ecosystem functions associated with global environmental changes, the mechanistic pathways behind the observed changes remain poorly understood. 2. Using an 11-year experiment that increased growing season precipitation and nitrogen deposition in a temperate steppe, we explored the relative importance of direct and indirect environmental change effects on plant primary productivity. 3. We show that increases in water and nitrogen availability influenced plant productivity via both direct and indirect pathways. While both treatments stimulated plant productivity, changes in plant productivity cannot be explained by observed changes in species or phylogenetic diversity. Instead, the indirect effects of water and nitrogen addition were through their positive effects on plant functional diversity. Importantly, while the increase in one component of functional diversity (community-level weighted mean of plant stature) resulted in increased productivity, the increase in another component of functional diversity (functional dispersion) resulted in decreased productivity. 4. Synthesis. Our study provides the first evidence for the opposite effects of community weighted means and functional dispersion of plant functional traits on grassland productivity, and highlights the importance of both traits of dominant species and trait distribution among species in modulating the effects of global changes on ecosystem functions.
Replication data for Chen and Khanna. (Global Environmental Change Advances, 2024), "Heterogeneous and Long-Term Effects of a Changing Climate on Bird Biodiversity"
<p>This dataset contains code and data to replicate the results for "Heterogeneous and Long-Term Effects of a Changing Climate on Bird Biodiversity" by Luoye Chen and Madhu Khanna.</p>
Data from: A general-purpose spatial survey design for collaborative science and monitoring of global environmental change: the global grid
Recent guidance on environmental modeling and global land-cover validation stresses the need for a probability-based design. Additionally, spatial balance has also been recommended as it ensures more efficient sampling, which is particularly relevant for understanding land use change. In this paper I describe a global sample design and database called the Global Grid (GG) that has both of these statistical characteristics, as well as being flexible, multi-scale, and globally comprehensive. The GG is intended to facilitate collaborative science and monitoring of land changes among local, regional, and national groups of scientists and citizens, and it is provided in a variety of open source formats to promote collaborative and citizen science. Since the GG sample grid is provided at multiple scales and is globally comprehensive, it provides a universal, readily-available sample. It also supports uneven probability sample designs through filtering sample locations by user-defined strata. The GG is not appropriate for use at locations above ±85° because the shape and topological distortion of quadrants becomes extreme near the poles. Additionally, the file sizes of the GG datasets are very large at fine scale (resolution ~600 m × 600 m) and require a 64-bit integer representation.
Data from: Plant functional diversity modulates global environmental change effects on grassland productivity
Open the record for dataset details and reuse information.
Data from: A general-purpose spatial survey design for collaborative science and monitoring of global environmental change: the global grid
Open the record for dataset details and reuse information.
South African global environmental change literature 2000-2018
<p>These data were used to assess how much research has been directed towards biological invasions in South Africa relative to other elements of global change and form part of a published book chapter. Using Web of Science, we systematically reviewed literature relevant to South African ecosystems published between 2000 and 2018 and relating to biological invasions, climate change, overharvesting, habitat change, pollution, and/or atmospheric CO<sub>2</sub> (search term details are provided below). We identified 1149 relevant papers, which appear in this dataset. These were scored in terms of their coverage of drivers and driver interactions that affect biodiversity or ecosystem services.</p> <p> </p> <p><em>Search terms used to identify relevant global change literature in South Africa</em></p> <p>We used an advanced search in the ISI Web of Science to identify potentially relevant research in South Africa. We constrained the search to use only the Science Citation index Expanded and Book Citation Index - Science, using a Timespan of 2000-2018. We performed six separate searches for each of the drivers and combined the results, removing any duplicate studies that were identified. The search terms used were:</p> <p> </p> <p>For Alien species</p> <p>TS = ((Invasiv* OR alien* OR exotic* OR non-native OR "non native" OR non-indigenous OR "non-indigenous" AND species) AND "South Africa*" AND (ecosystem* OR biodiversity) AND (impact* OR effect* OR trend*))</p> <p> </p> <p>For Climate change</p> <p>TS = (“climate change” AND “South Africa*” AND (ecosystem* OR biodiversity) AND (impact* OR effect* OR trend*))</p> <p><br> For CO<sub>2</sub></p> <p>TS = ((CO2 OR "carbon dioxide") AND "South Africa*" AND (ecosystem* OR biodiversity) AND (impact* OR effect* OR trend*))</p> <p><br> For Overharvesting</p> <p>TS = ((*harvesting OR *exploitation OR "resource use" OR "resource-use" OR hunting OR fishing OR extract*) AND "South Africa*" AND (ecosystem* OR biodiversity) AND (impact* OR effect* OR trend*))<br> </p> <p>For Pollution</p> <p>TS = (((pollut* OR *toxic* OR chemic* OR nitro* OR nitr* OR N2 OR phosph* OR sewage OR sewerage OR *plastic* OR acid*) AND "South Africa*" AND (ecosystem* OR biodiversity) AND (impact* OR effect* OR trend*)))</p> <p><br> For Habitat change</p> <p>TS = (("habitat change" OR "land cover" OR "land transformation" OR "land use" OR landuse OR land-use OR land-cover OR agriculture OR forestry OR mining OR ploughing OR erosion OR *fire OR disturbance* OR desertification OR aridification OR degradation OR "habitat alteration" OR fragmentation OR *trawling) AND "South Africa*" AND (ecosystem* OR biodiversity) AND (impact* OR effect* OR trend*))</p> <p> </p> <p>For each unique publication identified, we read the title and abstract and removed any studies that took place outside of South Africa (including those conducted in neighbouring countries such as Namibia, Swaziland and Lesotho) as well as those deemed to be beyond the study scope. The latter category included experimental studies with no clear link to a future time period (e.g. impacts of very high carbon dioxide concentrations), studies that valued ecosystem services as well as those that described restoration efforts, purely ecological studies, with no direct consideration of change drivers, studies that detailed management options for biodiversity and ecosystem services (including studies on biological control of invasive species) and descriptions of new alien species or their establishment. The final dataset that was scored consisted of 1149 papers.</p> <p> </p> <p>For each paper, we read the title and abstract and recorded (binary 0 or 1) as many direct driver effects on biodiversity and ecosystem services (out of the possible 6) or interactions of drivers. For example, a paper that demonstrated the impacts of drought on pollutant concentrations, with subsequent eutrophication and algal blooms would be counted as a direct effect of pollution on biodiversity and ecosystem services as well as an interaction of “Climate on pollution” and “Pollution on habitat”. We also recorded the environment (terrestrial, freshwater or marine and estuarine) in which the study took place.</p>
Global gene expression analysis of green spotted puffer fish gills in response to environmental calcium changes
GEO Series GSE19854. Tetraodon nigroviridis. 5 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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