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117 results for “desert plant”

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dryad36/100

High water use in desert plants exposed to extreme heat

<p>Many plant water use models predict leaves maximize carbon assimilation while minimizing water loss via transpiration. Alternate scenarios may occur at high temperature, including heat avoidance, where leaves increase water loss to evaporatively cool regardless of carbon uptake; or heat failure, where leaves non-adaptively lose water also regardless of carbon uptake. We hypothesized that these alternative scenarios are common in species exposed to hot environments, with heat avoidance more common in species with high construction-cost leaves. Diurnal measurements of leaf gas exchange and temperature for 11 Sonoran Desert species revealed 37% of these species increased transpiration in the absence of increased carbon uptake. High leaf mass per area partially predicted this behavior (<i>r</i><sup>2</sup>=0.39). These data are consistent with heat avoidance and heat failure, but failure is less likely given the ecological dominance of the focal species. These behaviors are not yet captured in any extant plant water use model.</p> <p> </p>

opencc-zeroApr 2021View details →
dryad36/100

Depicting the phenotypic space of the annual plant Diplotaxis acris in hyper-arid deserts

<p class="CxSpFirst">The phenotypic space encompasses the assemblage of trait combinations yielding well-suited integrated phenotypes. At the population level, understanding phenotypic space structure requires the quantification of among- and within-population variation in traits and the correlation pattern among them. Here, we studied the phenotypic space of the annual plant <i>Diplotaxis acris</i> occurring in hyper-arid deserts. Given the advance of warming and aridity in vast regions occupied by drylands, <i>D. acris</i> can indicate the successful evolutionary trajectory that many other annual plant species may follow in expanding drylands. To this end, we conducted a greenhouse experiment with 176 <i>D. acris</i> individuals from five Saudi populations to quantify the genetic component of variation in architectural and life-history traits. We found low among-population divergence but high among-individual variation in all traits. In addition, all traits showed a high degree of genetic determination in our study experimental conditions. We did not find significant effects of recruitment and fecundity on fitness. Finally, all architectural traits exhibited a strong correlation pattern among them, whereas for life-history traits, only higher seed germination implied earlier flowering. Seed weight appeared to be an important trait in <i>D. acris</i>, as individuals with heavier seeds tended to advance flowering and have a more vigorous branching pattern, which led to higher fecundity. Population divergence in <i>D. acris</i> might be constrained by the severity of the hyper-arid environment, but populations maintain high among-individual genetic variation in all traits. Furthermore, <i>D. acris</i> showed phenotypic integration for architectural traits and, to a lesser extent, for life-history traits. Overall, we hypothesize that <i>D. acris</i> may be fine-tuned to its demanding extreme environments. Evolutionary speaking, annual plants facing increasing warming, aridity and environmental seasonality might modify their phenotypic spaces towards new phenotypic configurations strongly dominated by correlated architectural traits enhancing fecundity and seed-related traits advancing flowering time.</p>

opencc-zeroOct 2022View details →
dryad36/100

Data for the article: Coupling of leaf elemental traits with root fungal community composition reveals a plant resource acquisition strategy in a desert ecosystem

<p><em>Purpose</em>: Plant-associated microbes enhance nutrient access and stress tolerance of the host species, and therefore, are crucial for plant traits and resource strategies. However, the links between aboveground plant traits and belowground microbes related to plant resource strategies under stressful conditions remain poorly understood.</p> <p><em>Methods</em>: We tested the relationships between leaf traits linked to water (carbon isotopic composition, δ<sup>13</sup>C) and nutrient use (elemental concentrations and stoichiometry) with microbial compositions in roots and rhizospheres of two dominant species (<em>Artemisia ordosica</em> and <em>Leymus secalinus</em>) in the Mu Us Desert, northern China.</p> <p><em>Results</em>: <em>L. secalinus</em> exhibited higher Mg and Mn concentrations, N:P ratios, stoichiometric flexibility, and root fungi:bacteria ratios, but lower foliar K and Ca concentrations and δ<sup>13</sup>C values than <em>A. ordosica</em>. The leaf N:P of <em>L. secalinus</em> increased with the root fungi:bacteria ratios, whereas the leaf N:P of <em>A. ordosica</em> decreased with the root fungi:bacteria ratios. The plant elemental levels (P, N, K, Ca, Mn, and δ<sup>13</sup>C) of <em>L. secalinus</em> but not <em>A. ordosica</em> were significantly related to their root fungal composition. Additionally, the random forest model identified four key fungal families in predicting leaf elemental traits for both plant species.</p> <p><em>Conclusion</em>: The results suggested tight coupling and coordination between leaf elemental traits and root microbial compositions (especially fungal communities) related to plant resource acquisition strategies. By regulating aboveground and belowground feedback loops through trait flexibility and root microbial compositions, the studied plant species can sustain their resource strategies under stressful environmental conditions.</p>

opencc-zeroNov 2022View details →
dryad36/100

Variation and association of leaf traits for desert plants in the arid area, northwest China

<p><span>Characterizing variation and association of plant traits is critical for understanding plant adaptation strategies and community assembly mechanisms. However, little is known about the leaf trait variations of desert plants and their association with different life forms. We used principal component analysis, Pearson's correlation, phylogenetic independent contrasts, linear mixed model, and variance decomposition to explore the variation and association of 10 leaf traits in 22 desert plants in the arid area of northwest China. We found that: (1) the contribution of interspecific variation to the overall variation was greater than the intraspecific variation of all the studied leaf traits; (2) intraspecific and interspecific variation in leaf traits differed among life forms. Some leaf traits, such as tissue density of shrubs and specific leaf area of herbs, exhibited greater intraspecific than interspecific variation, while other traits exhibited the inverse; (3) desert shrubs corroborate the leaf economic spectrum hypothesis and had a fast acquisitive resource strategy, but herbs may not conform to this hypothesis; (4) there were trade‐offs between leaf traits, which were mediated by phylogeny. Overall, our results suggest that interspecific variation of leaf traits significantly contributes to the total leaf traits variation in desert plants. However, intraspecific variation should not be overlooked. There are contrasts in the resource acquisition strategies between plants life forms. Our results support understanding of the mechanisms underlying community assembly in arid regions and suggest that future works may focus on the variation and association of plant traits at both intra‐ and interspecific scales.</span></p>

opencc-zeroMar 2023View details →
zenodo36/100

Traditional knowledge of wild plant species used in the southern part of Wadi Araba desert in South-West Jordan

<p>This data set provides&nbsp;documentation of traditional knowledge of using native plants in the Wadi Araba desert. The uses for grazing, firewood, food, and medicine. The information was obtained using a survey.&nbsp;</p>

opencc-by-4.0May 2023View details →
dryad36/100

Activity of tjakura (great desert skinks) at burrows in relation to plant cover and predators

<p>Increased predation where ground cover is reduced after severe wildfire is increasingly implicated as a factor causing decline of vulnerable prey populations. In arid central Australia, one species detrimentally affected by repeated wildfire is the great desert skink or <em>tjaku<span>r</span>a</em> (<em>Liopholis</em> <em>kintorei</em>), a distinctive lizard of the central Australian arid zone that constructs and inhabits multi-entranced communal burrows. We aimed to test whether <em>tjaku<span>r</span>a</em> or predator activity at burrow entrances varied with cover and how <em>tjaku<span>r</span>a</em> respond to predator presence. Using time-lapse photography, we monitored <em>tjaku<span>r</span>a</em> and predator activity at the largest entrance of 12 burrows ranging from high (&gt;70 %) to low (&lt;50 %) cover and at multiple entrances of two other burrows. Overall activity did not vary between burrows with high and low cover. Within burrow systems, <em>tjaku<span>r</span>a</em> were more active at sparsely vegetated entrances, often sitting wholly or partly inside the burrow. However, consistent between and within burrow systems, skinks spent proportionally more time fully outside where cover was higher. Predators – mostly native – were detected at most burrows, with no apparent relationship between predator activity and cover. Skinks also did not appear to modify their activity in response to predator visits. Our results indicate that <em>tjaku<span>r</span>a</em> may spend more time outside burrow entrances when cover is higher, but there was no direct evidence that this related to perceived or real predation risk. Differences in food availability, thermoregulatory opportunities, and opportunities for ambush foraging associated with differences in vegetation cover or composition are other factors likely to be important in determining the activity of <em>tjaku<span>r</span>a</em> at burrows.  Our research demonstrates the usefulness of camera traps for behavioural studies of ectothermic burrowing animals. The complex relationships between <em>tjaku<span>r</span>a</em> activity and vegetation cover were thereby revealed, suggesting outcomes of fire-mediated habitat change on predator-prey interactions are not easily predictable.</p>

opencc-zeroJul 2023View details →
dryad36/100

Data for the article: Coupling of leaf elemental traits with root fungal community composition reveals a plant resource acquisition strategy in a desert ecosystem

Open the record for dataset details and reuse information.

publicNov 2022View details →
dryad36/100

Data from: Diversity and structural variability of bacterial microbial communities in rhizocompartments of desert leguminous plants

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publicApr 2020View details →
dryad36/100

Depicting the phenotypic space of the annual plant Diplotaxis acris in hyper-arid deserts

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publicAug 2022View details →
dryad36/100

Data from: Separate and synergistic anti-herbivore effects of non-glandular trichomes and leaf chemistry in a desert plant

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publicDec 2025View details →
dryad36/100

High water use in desert plants exposed to extreme heat

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publicMay 2020View details →
dryad36/100

Variation and association of leaf traits for desert plants in the arid area, northwest China

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publicMar 2023View details →
dryad36/100

Plant responses to anomalous heat and drought events in the Sonoran Desert

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publicMay 2025View details →
dryad36/100

Activity of tjakura (great desert skinks) at burrows in relation to plant cover and predators

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publicJul 2023View details →
edi36/100

Sevilleta site, station Deep Well, study of plant cover of Baileya multiradiata(desert marigold) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Sevilleta (SEV) contains plant cover of Baileya multiradiata(desert marigold) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Sevilleta site, station Five Points, study of plant cover of Baileya multiradiata(desert marigold) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Sevilleta (SEV) contains plant cover of Baileya multiradiata(desert marigold) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Rita Experimental Range site, station Pasture 5N at Santa Rita Experimental Range, study of plant cover of Lycium (desert-thorn) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Lycium (desert-thorn) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Rita Experimental Range site, station Pasture 5N at Santa Rita Experimental Range, study of plant cover of Lycium pallidum (pale desert-thorn) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Lycium pallidum (pale desert-thorn) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Rita Experimental Range site, station Pasture 6A at Santa Rita Experimental Range, study of plant cover of Lycium pallidum (pale desert-thorn) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Lycium pallidum (pale desert-thorn) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Rita Experimental Range site, station Pasture 6B at Santa Rita Experimental Range, study of plant cover of Lycium (desert-thorn) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Lycium (desert-thorn) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record