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opencc-zeroDec 2014View details →

Data from: Spatial and temporal aridity gradients provide poor proxies for plant-plant interactions under climate change: a large-scale experiment

1. Plant-plant interactions may critically modify the impact of climate change on plant communities. However, the magnitude and even direction of potential future interactions remains highly debated, especially for water limited ecosystems. Predictions range from increasing facilitation to increasing competition with future aridification. 2. The different methodologies used for assessing plant-plant interactions under changing environmental conditions may affect the outcome but they are not equally represented in the literature. Mechanistic experimental manipulations are rare compared to correlative approaches that infer future patterns from current observations along spatial climatic gradients. 3. Here, we utilize a unique climatic gradient in combination with a large-scale, long-term experiment to test whether predictions about plant-plant interactions yield similar results when using experimental manipulations, spatial gradients or temporal variation. We assessed shrub-annual interactions in three different sites along a natural rainfall gradient (spatial) during 9 years of varying rainfall (temporal) and 8 years of dry and wet manipulations of ambient rainfall (experimental) that closely mimicked regional climate scenarios. 4. The results were fundamentally different among all three approaches. Experimental water manipulations hardly altered shrub effects on annual plant communities for the assessed fitness parameters biomass and survival. Along the spatial gradient, shrub effects shifted from clearly negative to mildly facilitative towards drier sites, whereas temporal variation showed the opposite trend: more negative shrub effects in drier years. 5. Based on our experimental approach, we conclude that shrub-annual interaction will remain similar under climate change. In contrast, the commonly applied space-for time approach based on spatial gradients would have suggested increasing facilitative effects with climate change. We discuss potential mechanisms governing the differences among the three approaches. 6. Our study highlights the critical importance of long-term experimental manipulations for evaluating climate change impacts. Correlative approaches, e.g. along spatial or temporal gradients, may be misleading and overestimate the response of plant-plant interactions to climate change.

opencc-zeroDec 2012View details →

Data from: Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing

Though genetic diversity is necessary for population persistence in rapidly changing environments, little is known about how climate-warming influences patterns of intra-population genetic variation. For a pink salmon population experiencing increasing temperatures, we used temporal genetic data (microsatellite = 1993, 2001, 2009; allozyme = 1979, 1981, 1983) to quantify the genetic effective population size (Ne) and genetic divergence due to differences in migration timing and to estimate whether these quantities have changed over time. We predicted that temporal trends toward earlier migration timing and a corresponding loss of phenotypic variation would decrease genetic divergence based on migration timing and Ne. We observed significant genetic divergence based on migration timing and genetic heterogeneity between early- and late-migrating fish. There was also some evidence for divergent selection between early- and late-migrating fish at circadian rhythm genes, but results varied over time. Estimates of Ne from multiple methods were large (>1200) and Ne/Nc generally exceeded 0.2. Despite shifts in migration timing and loss of phenotypic variation, there was no evidence for changes in within-population genetic divergence or Ne over the course of this study. These results suggest that in instances of population stability, genetic diversity may be resistant to climate-induced changes in migration timing.

opencc-zeroDec 2015View details →

Data from: Community-wide changes in inter-taxonomic temporal co-occurrence resulting from phenological shifts

Global climate change is known to affect the assembly of ecological communities by altering species' spatial distribution patterns, but little is known about how climate change may affect community assembly by changing species' temporal co-occurrence patterns, which is highly likely given the widely observed phenological shifts associated with climate change. Here we analyzed a 29-year phenological data set comprising community-level information on the timing and span of temporal occurrence in 11 seasonally occurring animal taxon groups from 329 local meteorological observatories across China. We show that widespread shifts in phenology have resulted in community-wide changes in the temporal overlap between taxa that are dominated by extensions, and that these changes are largely due to taxa's altered span of temporal occurrence rather than the degree of synchrony in phenological shifts. Importantly, our findings also suggest that climate change may have led to less phenological mismatch than generally presumed, and that the context under which to discuss the ecological consequences of phenological shifts should be expanded beyond asynchronous shifts.

opennotspecifiedDec 2000View details →

Fig. 2. Climogram showing average month temperature and rainfall from June 1996 in Aquatic Coleoptera In The Subtropical-Pampasic Ecotone (Argentina, Buenos Aires): Species Composition And Temporal Changes

Fig. 2. Climogram showing average month temperature and rainfall from June 1996 to July 1998 (Data from Estación Meteorológica La Plata, Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata).

opencc-by-4.0Dec 2023View details →

Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity

Dataset for the publication: 'Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity ' Rigoni et al. 2023, Neurobiology of Disease, doi: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.nbd.2023.106382" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.nbd.2023.106382</a> Dataset description Data\data2publish\sub- : 50 epochs of raw epicranial EEG data (31 x 8001 x 50, channels x time x n_epochs, Fs=4k Hz). The epochs are available for 29 mice, on different sessions (ses-d0, ses-d28, ses-d29) depending on the animal  Data\data2publish\EA_info.xlsx: number of epileptiform activities automatically detected for each animal at d28 and d29 Data\data2publish\derivatives\eeg_preprocessing: results of the script A_EEG_preprocessing.m, for each animal and session Data\data2publish\derivatives\elec_layout: different layouts used to plot results. Mouse_layout_modif is the one used in Fig 4 Data\data2publish\derivatives\network_metrics_wpli: results of network analyses (script C_network_analyses.m) Data\data2publish\derivatives\wpli: connectivity matrices (30 x 30) obtained with the script B_connectivity_wpli.m for each animal, in each session, for each frequency band wit Code for analyses available here:  <a href="https://github.com/IsottaR/ir_mice_project_Zenodo">https://github.com/IsottaR/ir_mice_project_Zenodo </a> Abbreviations: EEG= electroencephalography

opencc-by-4.0Apr 2024View details →

Supplementary Movie 1 from: A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution

This record contains Supplementary Movie 1 from: A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution Andreas Kaczmarczyk, Simon van Vliet, Roman Peter Jakob, Raphael Dias Teixeira, Inga Scheidat, Alberto Reinders, Alexander Klotz, Timm Maier, Urs Jenal Biozentrum, University of Basel, 4056 Basel, Switzerland Correspondence to: urs.jenal[at]unibas.ch, andreas.kaczmarczyk[at]unibas.ch

opencc-by-4.0Aug 2024View details →

ALCC: Temporally consistent annual land cover maps over China from 1985 to 2022 based on an ensemble change detection method

We develope  a consistent annual land cover product for China (ALCC)  from 1985 to 2022. First, change areas for each year was detected baesd on an ensemble change detection method combing CCDC, BFASTm, and Chow Test. Then, stable training samples were derived from both CLCD and CLUDs. The Random Forest classifier was locally trained and used to classify change areas year by year. Finally, ALCC was generated by updating land cover classification results for change areas and remaining class label the same as the base map forthe unchanged areas. ALCC achieved a mean overall accuracy of 81.11±0.67% nationwide and exceeded 72.00% across seven geographical regions.

opencc-zeroOct 2022View details →

Temporal changes in the potential geographic distribution of Histiotus velatus (Chiroptera, Vespertilionidae), the "decade effect"

Also investigate how the potential distribution of this species changes with the addition of new records over the decades (decade effect). Assuming that (1: hypothesis of the effect of the decade) the addition of new occurrence records over time increases the potential size of the species distribution; and (2: Wallacean distance hypothesis) over the years, the new points added are increasingly distant from the research centers. Considering the geographic knowledge gap of Histiotu velatus, our objective is to report a new record of this species and estimate its potential distribution in South America through ENMs. For this, we compiled records of occurrence of species, selected from 1900 to 2015. We used 19 bioclimatic variables available in the WorldCLim database to estimate the potential distribution of the species and we used three modeling algorithms: Maximum Entropy (MXT) Random Forest (RDF) and Support Vector Machine (SVM). We selected the main bat research centers in Brazil, using the Lattes platform for the Wallacean distance hypothesis, using the Euclidean distance calculation. To test the hypothesis of the decade effect, we used beta regression analysis, taking conservative and non-conservative approaches. The results showed that the predicted area expanded and retracted over the decades, with an improvement in the accuracy of the models with the addition of new data. Most of the records are located in the southeastern region of Brazil, but the algorithms predicted areas in countries where there were no records. Only the conservatism approach has had a positive relationship over the decades. The distance from new points does not increase over the years of research centers.

opencc-by-4.0Apr 2024View details →

Pollination-related plant traits under environmental changes: seasonal and daily mismatches produce temporal constraints

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →

Data from: Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944

Paper Abstract: Urban expansion, especially suburbanization, represents a major social, economic and environmental shift that has escalated since the mid-1900s in North America. Suburban development leads to corresponding changes in the treed environment of urban-rural fringes. It is important to understand where, when and why trees change in response to development over many decades, but this is difficult since long-term data are scarce. We used 70+ years (1944–2017) of leaf-off aerial photographs, often representing the only long-term landscape record, to quantify and map spatio-temporal changes in tree density through the entirety of the agricultural-suburban transitional period. Photo-interpretation of individual tree locations, along with recording observable drivers of change, was completed across six different modern landscapes in Mississauga, Ontario, Canada. Results indicate that tree density often recovers, or even increases, post-development. There are differences between landscapes, but most tree density gains are associated with forest expansion and tree planting, while most losses are associated with building and road construction. The influence of these drivers, along with the temporal trajectory of tree density changes, are shaped by a landscape’s socioecological legacy and the length, scope and intensity of development (as decided by decision makers). Processes include initial tree losses followed by recovery from tree planting, and forest succession in abandoned fields after land purchase and nearby development. We assert that the spatio-temporal changes in tree density and related drivers quantified here can be generalized to gain knowledge on how tree density and distribution across agricultural landscapes will change under different development scenarios.   Data details: See paper: <a href="https://www.sciencedirect.com/science/article/pii/S0169204619301914?via%3Dihub">Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944 - ScienceDirect</a> See code on GitHub: <a href="https://github.com/ZZMitch/SuburbanizingTreeDensity_1944to2017">ZZMitch/SuburbanizingTreeDensity_1944to2017: Code from "Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944" (L&UP, 2019) (github.com)</a> - Note: High resolution imagery is not included in this repository.    If you use these data, please reference:  Bonney, M.T., He, Y., 2019. Attributing drivers to spatio-temporal changes in tree density across a suburbanizing landscape since 1944. Landscape and Urban Planning 192, https://doi.org/10.1016/j.landurbplan.2019.103652.

opencc-zeroJul 2021View details →

Data for spatial and temporal refugia for an insect population declining due to climate change

Insect declines have been reported worldwide, although the particular causes of the declines may be complex and are poorly understood. Meadow spittlebugs were one of the most abundant insects in the coastal prairie along the California coast 40 years ago but have largely disappeared. Evidence links this decline to changing climatic conditions, which have reduced survival of eggs and neonates. We identified several refugia where meadow spittlebug populations have persisted amidst unfavorable conditions. Protection from desiccating winds was the common attribute of these refugia. Following a wet year, adult meadow spittlebugs were able to disperse from one refuge that we studied to recolonize coastal prairie habitats, although populations declined over the next two drier years. Because of their previous high abundance, loss of meadow spittlebugs is likely to affect the functioning of this widespread habitat, including energy transfer, their host plants, and their predators. In addition, meadow spittlebugs are unusual in having been the subject of extensive physiological and long-term ecological data, so they can serve as a bellwether species, indicating the effects of climate change.

Figure 2 in Temporal changes in burrow structure of the thalassinidean ghost shrimps Trypaea australiensis and Biffarius arenosus

Figure 2. Diagram showing the significant cast dimensions that were measured (representation only, not to scale). The dimensions are as follows: (A) burrow opening; (B) distance between openings; (C) U/Y depth; (D) maximum depth; (E) diameter of turning chamber; (F) diameter of tunnel; (G) peripheral chamber; (H) maximum width.

Figure 3 in Temporal changes in burrow structure of the thalassinidean ghost shrimps Trypaea australiensis and Biffarius arenosus

Figure 3. Casts of juvenile (A) and adult (B) Trypaea australiensis burrows, and casts of adult (C) and juvenile (D) Biffarius arenosus burrows.

Figure 1 in Temporal changes in burrow structure of the thalassinidean ghost shrimps Trypaea australiensis and Biffarius arenosus

Figure 1. Map of Western Port, Victoria, showing its relative position in south-eastern Australia and the study site, Warneet.

Figure 5 in Temporal changes in burrow structure of the thalassinidean ghost shrimps Trypaea australiensis and Biffarius arenosus

Figure 5. Dendrogram showing how casts of Trypaea australiensis burrows cluster together based on overall morphological similarities (W denotes casts made in winter, P are casts made in spring, S are casts made in summer and A are casts made in autumn). The horizontal dashed line shows 85% similarity with two main groups of casts, each containing a representative of each season.

Figure 4 in Temporal changes in burrow structure of the thalassinidean ghost shrimps Trypaea australiensis and Biffarius arenosus

Figure 4. Dendrogram showing how casts of Biffarius arenosus burrows cluster together based on overall morphological similarities (W denotes casts made in winter, P are casts made in spring, S are casts made in summer and A are casts made in autumn). The horizontal dashed line shows 80% similarity with two main groups of casts, each containing representatives of each season.

opencc-by-4.0Mar 2023View details →

Monitoring temporal changes of velocity and attenuation from ultrashort diffuse records

This repository contains the raw field data in the manuscript entitled "Monitoring temporal changes of velocity and attenuation from ultrashort diffuse records" by Ning Gu, Haoran Meng, Bo Yang, Xin Liu, Yehuda Ben-Zion, Junxin Guo, Bin Luo, Zhen Guo, Shuye Huang, Shichuan Yuan, Xiaofei Chen.

opencc-by-4.0May 2023View details →

Carbonate record of temporal change in oxygen fugacity and gaseous species in asteroid Ryugu

Supplementary Table 1. Carbon- and oxygen-isotope data of carbonates obtained with SIMS. Supplementary Table 2. Chemical compositions of carbonates measured with EDS.