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144 results for “adaptive strategy”
Contrasting plant adaptation strategies to latitude in the native and invasive range of Spartina alterniflora: geographic survey (2014) and Common garden (2015-2017)
We examined trait differences and evolution across geographic clines among continents of the intertidal grass Spartina alterniflora within its invasive and native ranges. Between September and November 2014, we sampled vegetative and reproductive traits in the field at 20 sites over 20° latitude in China (invasive range) and 28 sites over 17° latitude in the US (native range). We grew both Chinese and US plants in a greenhouse common garden for three years (2015 - 2017) to determine if differences in performance of S. alterniflora between the introduced and native ranges were due to genetic differences or differences in abiotic conditions.
Unraveling community adaption and survival strategy of soil microbiome under vanadium stress in nationwide mining environments
<p class="Abstract"><span><span>The vanadium (V) smelters soil harbor wide ranges of microorganisms, whose survival relies on their metabolic activities under stress.</span><span> Nonetheless, the characteristics and functions of soil microbiome in V mining environments have not been recognized at a continental scale. This study investigates microbial diversity, community assembly and metabolic traits of soil microbiome across 90 V smelters in China. A decrease in alpha diversity is observed, along with community variation, which is also jointly explained by other environmental, climatic and geographic factors. Null model shows that V promotes homogeneous selection. V also mediates co-occurrence patterns, with increased positive interspecific associations under higher V concentrations (</span><span>></span><span>559.6 mg/kg)</span><span>, e.g., <em>f_Gemmatimonadaceae</em>, <em>Nocardioides</em>, <em>Micromonospora</em>, <em>Rubrobacter</em>.</span><span> In addition, 67 metagenome assembled genomes are retrieved via metagenomic analysis. The metabolic pathways of keystone taxa are disentangled to reveal their putative involvement in the V(V) reduction process. Nitrate and nitrite reductase (<em>nirK</em>, <em>narG</em>), and <em>mtrABC</em> are found to be taxonomically affiliated with <em>Micromonospora</em>. sp, <em>FEN-1250</em>. sp, <em>Nocardioides</em>. sp, etc. Additionally, reverse citric acid cycle (rTCA) serves the main carbon fixation pathway, synthetizing alternative energy for putative V reducers, highlighting a synergistic relationship between autotrophic and heterotrophic processes to support the microbial survival. Our findings comprehensively reveal the driving forces for soil community variation under V stress, suggesting the robust strategies adopted by indigenous microorganisms to alleviate V impact, which can be exploited for bioremediation application.</span></span></p>
High quality figures of "Assessing Climate Change Impacts on Crop Yields and Exploring Adaptation Strategies in Northeast China"
<p>This repository provides the figures for the publication "Assessing Climate Change Impacts on Crop Yields and Exploring Adaptation Strategies in Northeast China" in their original resolution, ensuring clarity and high-quality visual representations for readers.</p>
Data from: Ruderals naturalize, competitors invade: varying roles of plant adaptive strategies along the invasion continuum
<p>1. It is increasingly recognized that the factors facilitating plant invasions depend on the stage along the introduction-naturalization-invasion continuum. Adaptative strategies, i.e., combinations of functional traits that represent overall fitness in the face of one or more selection pressures, have shown promise in explaining plant invasions. However, whether adaptive strategy patterns change with the stages of plant invasion is not yet known. </p> <p>2. Using the Pladias Database of the Czech Flora and Vegetation, we explored how Grime's adaptive strategies (competitors, stress-tolerators, ruderals; CSR) and introduction pathways (deliberate vs. accidental) relate to plant invasion along the introduction-naturalization-invasion continuum.</p> <p>3. Phylogenetically corrected ANOVAs showed that naturalized species (referring to non-invasive naturalized species in this study) were mostly R-selected, whereas invasive species tended to be C-selected. The results of phylogenetic regression analysis further confirmed that across the deliberately and accidentally introduced species, R- and C-selection were positively related to naturalization and invasion success, respectively. We also found that deliberate introduction was negatively related to naturalization success and grid-cell occupancy of naturalized species, likely due to the different CSR strategies possessed by deliberately and accidentally introduced aliens.</p> <p>4. Our study provides empirical evidence that different adaptive strategies are associated with species that have reached different invasion stages and confirms the usefulness of the CSR strategy framework for understanding plant invasion. It has implications for predicting and preventing potential high-impact invaders. For example, our results show that naturalized C-selected species have a higher probability of becoming invasive than naturalized R-selected species. Therefore, management actions are essential to prevent further introductions and spread of competitors.</p> <p> </p>
Figure 3 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay
Figure 3. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in summer and autumn.
Figure 2 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay
Figure 2. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in winter and spring
Global perspectives on sand dune patterns: Scale-adaptable classification using Landsat imagery and deep learning strategies
<p><span>Here we generated the global sand dune pattern map at a resolution of 30 m, named GSDP30. The GSDP30 map encompasses 11 types of sand dune patterns (SDPs): simple crescentic dunes, compound-complex crescentic dunes, simple linear dunes, compound-complex linear dunes, dome dunes, star dunes, parabolic dunes, dendritic dunes, network dunes, sand sheets, and others. The map is divided into 331 Tiff tiles, each characterized by a size of 15,360 × 15,360 pixels and named according to the longitude and latitude coordinates of its upper-left corner.</span></p>
Code Appendix: Do Seed Dispersal Strategies Reflect Adaptation to Environmental Variability? Functional Ecology, 2023
<p>This code appendix contains all of the R code and data for the manuscript:<br> <br> Van Den Elzen, C. L., N. Sigman, and N. C. Emery. 2023. Do Seed Dispersal Strategies Reflect Adaptation to Environmental Variability?. Functional Ecology (Manuscript ID: FE-2022-00850).<br> <br> Abstract: </p> <p>1. Dispersal is one of the primary mechanisms by which organisms adapt to spatial and temporal variation in the environment. Theory predicts that increasing spatiotemporal variation drives selection for offspring dispersal away from their natal habitat and one another. However, due to inherent difficulties in measuring dispersal in plant systems, there are few empirical tests of the extent to which this hypothesis can explain variation in seed dispersal strategies.</p> <p>2. In this study, we characterized and compared the dispersal patterns of three closely related plant species that segregate across gradients in spatiotemporal variation in seasonal wetlands.</p> <p>3. We tracked individual seeds as they dispersed in their natural habitats to measure seed dispersal distance (the distance traveled from the maternal plant) and inter-seed spread (distances between dispersed seeds), and to identify the plant traits causing within-species variation in seed dispersal. We also evaluated the seed traits causing within-species variation in seed flight distance and terminal velocity in a wind tunnel and a drop tube, respectively.</p> <p>4. We found that average seed dispersal distance was lowest in the species that occupies the most spatiotemporally variable habitat, contradicting our predictions; however, inter-seed spread was lowest in the species from the least variable habitat, which aligned with our expectations.</p> <p>5. The maternal plant and seed traits explaining intraspecific variation in seed dispersal varied among species as well as the method used to measure dispersal potential. Two traits had non-intuitive effects on dispersal, including pappus size, which reduced seed flight distance in two of the focal taxa.</p> <p>6. Overall, our results indicate that the differences we detected in seed dispersal among three closely related plant taxa can be only partially explained by current patterns of environmental variability in their respective habitats, and that the traits driving within species variation in seed dispersal can evolve rapidly and change with the environmental context in which they are measured.</p>
Unraveling community adaption and survival strategy of soil microbiome under vanadium stress in nationwide mining environments
Open the record for dataset details and reuse information.
Data from: Ruderals naturalize, competitors invade: varying roles of plant adaptive strategies along the invasion continuum
Open the record for dataset details and reuse information.
Data from: Incorporating herders' knowledge and ecosystem-based adaptation strategies in local decision-making
<p class="CxSpFirst"> 1. Ecosystem-based adaptation (EbA) relies upon the capacity of ecosystems to buffer communities against the adverse impacts of climate change. Maintaining ecosystems that deliver critical services to communities can also provide co-benefits beyond adaptation, such as climate mitigation and protection of biological diversity and livelihoods. EbA has to a limited extent drawn upon indigenous-and local knowledge (ILK) for defining critical services and for implementing EbA in decision-making. This is a paradox given that the primary focus of EbA is to enable communities to adapt to climate change.<br> 2. The purpose of this study was to elucidate EbA strategies that take into account the knowledge of Sámi reindeer herders about pastures in tundra regions. We first examined what constitutes critical services as perceived by Sámi reindeer herders through a synthesis of data and literature. We thereafter used content analysis of 91 land use cases from 2010-2018 to investigate to what extent the herders' knowledge and maps over seasonal pastures and migratory routes are used in local decision-making. Finally, we propose EbA strategies of relevance to Sámi communities and pastoral communities elsewhere.<br> 3. Our analysis revealed that reindeer herders and organizations representing their interests perceived threats from green energy development, tourism, recreation, public road construction and powerlines. These threats included the loss of key habitats and the loss of connectivity for migration between seasonal pastures. Herders' knowledge is incorporated through participatory tools to protect the ecosystems and services crucial for herders, but multiple competing land uses result in incremental loss of pastures regardless. <br> 4. Synthesis and application. Pastoralists need access to diverse resources on seasonal pastures and the ability to move between pastures when snow, ice, rainfall and the timing of critical service supplies changes. Drawing on herders' knowledge to elicit EbA strategies is vital for buffering the adverse effects of climate change. EbA that incorporates indigenous perspectives cannot purely rely on co-benefit approaches. Fundamental trade-offs exist between adaptation needs and other land uses, such as infrastructure, tourism and green energy development</p>
Data for: Variability in thermal and phototactic preferences in Drosophila may reflect an adaptive bet-hedging strategy
<p>Data and code for "Variability in thermal and phototactic preferences in <em>Drosophila</em> may reflect an adaptive bet-hedging strategy." </p> <p>.zip file contains .mats with data, a LabView .vi for the acquisition instrument, and Matlab .m analysis and visualization scripts. </p> <p>The included index.html file acts as a readme and contains descriptions of all other files and links.</p>
Climate warming could free cold-adapted trees from C-conservative allocation strategy of storage over growth
<p>Carbon allocation has been fundamental for long-lived trees to survive cold stress at their upper elevation range limit. Although carbon allocation between NSC (non-structural carbohydrate) storage and structural growth is well-documented, it still remains unclear how ongoing climate warming influences these processes, particularly whether these two processes will shift in parallel or respond divergently to warming. Using a combination of an in situ downward-transplant warming experiment and an ex situ chamber warming treatment, we investigated how subalpine fir trees at their upper elevation limit coordinated carbon allocation priority among different sinks (e.g., NSC storage and structural growth) at whole-tree level in response to elevated temperature. We found that transplanted individuals from the upper elevation limit to lower elevations generally induced an increase in specific leaf area, but there was no detected evidence of warming effect on leaf-level saturated photosynthetic rates. Additionally, our results challenged the expectation that climate warming will accelerate structural carbon accumulation while maintaining NSC constant. Instead, individuals favored allocating available carbon to NSC storage over structural growth after one year of warming, despite the amplification in total biomass encouraged by both in situ and ex situ experimental warming. Unexpectedly, continued warming drove a regime shift in carbon allocation priority, which was manifested in the increase of NSC storage in synchrony to structural growth enhancement. These findings imply that climate warming would release trees at their cold edge from C-conservative allocation strategy of storage over structural growth. Thus, understanding the strategical regulation of the carbon allocation priority and the distinctive function of carbon sink components is of great implication for predicting tree fate in the future climate warming.</p>
Climatic adaptation and phylogenetic history shape the intra-specific variation of CSR strategies in a widespread grass
<p>Data and R script for the paper entitled "Climatic adaptation and phylogenetic history shape the intra-specific variation of CSR strategies in a widespread grass".</p>
Integrated irrigation and nitrogen optimization is a resource-efficient adaptation strategy for US maize and soybean production
<p>These datasets were utilized to generate the figures and tables presented in the paper '<strong>Integrated irrigation and nitrogen optimization is a resource-efficient adaptation strategy for US maize and soybean production</strong><strong>'</strong>:</p> <p>(1) Fig.1.html: Code for generating Fig. 1.<br>(2) Fig.2.xlsx: Data for Fig. 2.<br>(3) Fig.3.xlsx: Data for Fig. 3.<br>(4) Fig.4.xlsx: Data for Fig. 4.<br>(5) Fig.5.xlsx: Data for Fig. 5.</p> <p>(6) Other .html files are Python code corresponding to different tables and figures.</p>
Phenotype and QTL mapping data from: Genetic trade-offs underlie divergent life history strategies for local adaptation in white clover
<p>Local adaptation is common in plants, yet characterization of its underlying genetic basis is rare in herbaceous perennials. Moreover, while many plant species exhibit intraspecific chemical defense polymorphisms, their importance for local adaptation remains poorly understood. We examined the genetic architecture of local adaptation in a perennial, obligately-outcrossing herbaceous legume, white clover (<i>Trifolium repens</i>). This widespread species displays a well-studied chemical defense polymorphism for cyanogenesis (HCN release following tissue damage) and has evolved climate-associated cyanogenesis clines throughout its range. Two biparental F<sub>2</sub> mapping populations, derived from three parents collected in environments spanning the U.S. latitudinal species range (Duluth, MN, St. Louis, MO and Gainesville, FL), were grown in triplicate for two years in reciprocal common garden experiments in the parental environments (6,012 total plants). Vegetative growth and reproductive fitness traits displayed trade-offs across reciprocal environments, indicating local adaptation. Genetic mapping of fitness traits revealed a genetic architecture characterized by allelic trade-offs between environments, with 100% and 80% of fitness QTL in the two mapping populations showing significant QTL X E interactions, consistent with antagonistic pleiotropy. Across the genome there were three hotspots of QTL co-localization. Unexpectedly, we found little evidence that the cyanogenesis polymorphism contributes to local adaptation. Instead, divergent life history strategies in reciprocal environments were major fitness determinants: selection favored early investment in flowering at the cost of multi-year survival in the southernmost site vs. delayed flowering and multi-year persistence in the northern environments. Our findings demonstrate that multi-locus genetic tradeoffs contribute to contrasting life history characteristics that allow for local adaptation in this outcrossing herbaceous perennial.</p>
Adaptive and non-adaptive plasticity in changing environments: implications for sexual species with different life history strategies
<p>Populations adapt to novel environmental conditions by genetic changes or phenotypic plasticity. Plastic responses are generally faster and can buffer fitness losses under variable conditions. Plasticity is typically modelled as random noise and linear reaction norms that assume simple one-to-one genotype-phenotype maps and no limits to the phenotypic response. Most studies on plasticity have focused on its effect on population viability. However, it is not clear, whether the advantage of plasticity depends solely on environmental fluctuations or also on the genetic and demographic properties (life histories) of populations. Here we present an individual-based model and study the relative importance of adaptive and non-adaptive plasticity for populations of sexual species with different life histories experiencing directional stochastic climate change. Environmental fluctuations were simulated using differentially autocorrelated climatic stochasticity or noise color, and scenarios of directional climate change. Non-adaptive plasticity was simulated as a random environmental effect on trait development, while adaptive plasticity as a linear, saturating, or sinusoidal reaction norm. The last two imposed limits to the plastic response and emphasized flexible interactions of the genotype with the environment. Interestingly, this assumption led to (i) smaller phenotypic than genotypic variance in the population (many-to-one genotype-phenotype map) and the coexistence of polymorphisms, and (ii) the maintenance of higher genetic variation – compared to linear reaction norms and genetic determinism – even when the population was exposed to a constant environment for several generations. Limits to plasticity led to genetic accommodation, when costs were negligible, and to the appearance of cryptic variation when limits were exceeded. We found that adaptive plasticity promoted population persistence under red environmental noise and was particularly important for life histories with low fecundity. Populations producing more offspring could cope with environmental fluctuations solely by genetic changes or random plasticity, unless environmental change was too fast.</p>
Pilot 1 Model-based decision support for testing drought-related adaptation strategies in the Aa of Weerijs river basin, the Netherlands: Hydrological model description, input data sources and model results
<p>This dataset contains: the report with the description of the model structure, the input data sources and the spatial locations within the catchment for which surface and groundwater results data are provided.</p>
Adaptive cross-country optimisation strategies in thermal soaring birds
<p>This dataset contains published and unpublished high-frequency GPS data of 12 soaring birds.</p> <p>Published data are collected from: </p> <p>Griffon Vulture:</p> <p>Harel R, Nathan R. 2018. Data from: The characteristic time scale of perceived information for decision-making: departure from thermal columns in soaring birds. Movebank Data Repository. https://www.doi.org/10.5441/001/1.46t5141d</p> <p>Harel R, Nathan R. 2018. The characteristic time scale of perceived information for decision-making: departure from thermal columns in soaring birds. Funct Ecol. 32(8):2065-2072. https://doi.org/10.1111/1365-2435.13136</p> <p>Verreaux's eagle</p> <p>Murgatroyd, Megan, Theoni Photopoulou, Les G. Underhill, Willem Bouten, and Arjun Amar. 2018. Where eagles soar: Fine‐resolution tracking reveals the spatiotemporal use of differential soaring modes in a large raptor. Ecology and Evolution 8, no. 13: 6788-6799. https://doi.org/10.1002/ece3.4189.</p> <p>Northern Bald Ibis</p> <p>Voelkl B. and Fritz J. 2017. Relation between travel strategy and social organization of migrating birds with special consideration of formation flight in the northern bald ibis. Phil. Trans. R. Soc. B37220160235. http://doi.org/10.1098/rstb.2016.0235</p> <p>Steppe Eagle</p> <p>Reynolds Kate V., Thomas Adrian L. R. and Taylor Graham K. 2014. Wing tucks are a response to atmospheric turbulence in the soaring flight of the steppe eagle Aquila nipalensisJ. R. Soc. Interface.1120140645. http://doi.org/10.1098/rsif.2014.0645</p> <p>Reynolds, K. 2015. “Soaring and Gust Response in the Steppe Eagle.” PhD thesis, University of Oxford.</p> <p>Lesser Kestrel</p> <p>Hernández-Pliego J., Rodríguez C., Bustamante J. 2015. Why Do Kestrels Soar? PLoS ONE 10(12): e0145402. https://doi.org/10.1371/journal.pone.0145402</p> <p>https://datarepository.movebank.org/entities/datapackage/225f9132-72f9-4727-bf0f-cb27fbdc6240</p> <p>The rest of the dataset is collected by Olivier Duriez, Andrea Flack and Mate Nagy. </p> <p> </p>
Experimental data - project: adaptive strategy on part-list cueing and ego-depletion
<p>Experimental data of two experiments on adaptive strategy and its relation to recall performance and task persistence.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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.
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.
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.
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.