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527 results for “Climate Response”
Pushing the limits of C3 intrinsic water use efficiency in Mediterranean semiarid steppes: responses of a drought-avoider perennial grass to climate aridification
<ol> <li>Intrinsic water use efficiency (WUEi) reflects the trade-off between photosynthetic carbon gain and water loss through stomatal conductance and is key for understanding dryland plant responses to climate change. <em>Stipa tenacissima</em> is a perennial tussock C<sub>3</sub> grass with an opportunistic, drought-avoiding water use strategy that dominates arid and semiarid steppes across the western Mediterranean region. However, its ecophysiological responses to aridification and woody shrub encroachment, a major land-use change in drylands worldwide, are not well understood.</li> <li>We investigated the variations in leaf stable isotopes (δ<sup>18</sup>O, δ<sup>13</sup>C, δ<sup>15</sup>N), nutrient concentrations (N, P, K), and culm water content and isotopic composition (δ<sup>18</sup>O, δ<sup>2</sup>H) of paired pure-grass and shrub-encroached <em>S. tenacissima</em> steppes along a 350 km aridity gradient in Spain (10 sites, 160 individuals). </li> <li>Culm water isotopes revealed that <em>S. tenacissima</em> is a shallow-rooted grass that depends heavily on recent rainwater for water uptake, which may render it vulnerable to increasingly irregular rainfall combined with faster topsoil drying under climate warming and aridification. With increasing aridity, <em>S. tenacissima</em> enhanced leaf-level WUEi through more stringent stomatal regulation of plant water flux and carbon assimilation (higher δ<sup>13</sup>C and δ<sup>18</sup>O), reaching exceptionally high δ<sup>13</sup>C values (-23 to -21‰) at the most arid steppes. Foliar N concentration was remarkably low across sites regardless of woody shrub encroachment, evidencing severe water and N co-limitation of photosynthesis and productivity. Shrub encroachment decreased leaf P and K but did not affect <em>S. tenacissima</em> water status. Perennial grass cover decreased markedly with both declining winter rainfall and shrub encroachment suggesting population- rather than individual-level responses of <em>S. tenacissima</em> to these changes.</li> <li>The fundamental physiological constraints of photosynthetic C<sub>3</sub> metabolism combined with low foliar N content may hamper the ability of <em>S. tenacissima</em> and other drought-avoider species with shallow roots to achieve further adaptive improvements in WUEi under increasing climatic stress. A drought-avoiding water use strategy based on early stomatal closure and photosynthesis suppression during prolonged rainless periods may thus compromise the capacity of <em>S. tenacissima</em> steppes to maintain perennial grass cover, sustain productivity and cope with ongoing climate aridification at the drier parts of their current distribution. </li> </ol>
Body size and trophic levels explain global asymmetric response of tetrapod diversity to climate effects
<p><span>Although c</span><span>limate-based hypotheses are widely used to explain large-scale diversity patterns, they fall short of explaining the spatial variation among taxonomic groups. Integrating food web and metabolic theories into macroecology is a promising step forward, as they allow including explicit taxon-specific traits that can potentially mediate the relationship between climate and diversity. Our investigation focuses on the role of body size and trophic structure in mediating the influence of contemporary climate and historical climate change on global tetrapods species richness. We used piecewise structural equation modeling to assess the direct effects of contemporary climate and climate instability of species richness and the indirect effects of climate on tetrapod richness mediated by community-wide species traits. We found that birds and mammals are less sensitive to the direct effect of contemporary climate than amphibians and squamates. Contemporary climate and climate instability favored the species richness in mammals and amphibians. However, for birds and squamates, this link is only associated with contemporary climate. Moreover, we demonstrated that community-wide traits favored the species richness gradients of tetrapod groups, except amphibians, but this link depends on traits and taxonomic groups. Specifically, bird communities with smaller bodies and bottom-heavy structures support higher species richness. Squamates also tend to be more diverse in communities with prevalence of smaller bodies, while mammals are correlated with top-heavy structures. Moreover, we show that higher contemporary climate and climate instability reduce the species richness of birds and mammals through community-wide traits and tend indirectly improve squamate species richness. Thus, we showed the significance of body size and trophic structure effect in driving a global asymmetric response of tetrapod diversity to climate effects highlights the limitations of applying "typical" climate-based hypotheses. Furthermore, by combining multiple theories, our research contributes to a more realistic and mechanistic understanding of diversity patterns across taxonomic groups. </span></p>
Data from: Long-term climate and hydrologic regimes shape stream invertebrate community responses to a hurricane disturbance
<p>Disturbances can produce a spectrum of short- and long-term ecological consequences that depend on complex interactions of the characteristics of the event, antecedent environmental conditions, and the intrinsic properties of resistance and resilience of the affected biological system. We used Hurricane Harvey's impact on coastal rivers of Texas to examine the roles of storm-related changes in hydrology and long-term precipitation regime on the response of stream invertebrate communities to hurricane disturbance. We detected declines in richness, diversity, and total abundance following the storm, but responses were strongly tied to direct and indirect effects of long-term aridity and short-term changes in stream hydrology. The amount of rainfall a site received drove both flood duration and flood magnitude across sites, but lower annual rainfall amounts (i.e., aridity) increased flood magnitude and decreased flood duration. Across all sites, flood duration was positively related to the time it took for invertebrate communities to return to a long-term baseline and flood magnitude drove larger invertebrate community responses (i.e., changes in diversity and total abundance). However, invertebrate response per unit flood magnitude was lower in sub-humid sites, potentially because of differences in refuge availability or ecological-evolutionary interactions. Interestingly, sub-humid streams had temporary large peaks in invertebrate total abundance and diversity following recovery period that may be indicative of the larger organic matter pulses expected in these systems because of their comparatively well-developed riparian vegetation. Our findings show that hydrology and long-term precipitation regime predictably affected invertebrate community responses and, thus, our work underscores the important influence of local climate to ecosystem sensitivity to disturbances.</p>
Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits
<div> <div>Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters:<br>Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. </div> <div> </div> <div>All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in <em>RCode_xxx</em> files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.</div> </div>
Inter- and intraspecific selection in alien plants: how population growth, functional traits and climate responses change with residence time
<p><strong>Aim: </strong>When alien species are introduced to new ranges, climate or trait mismatches may initially constrain their population growth. However, inter- and intraspecific selection in the new environment should cause population growth rates to increase with residence time. Using a species-for-time approach, we test whether with increasing residence time (a) negative effects of climatic mismatches between the species' new and native range on population growth weaken, and (b) functional traits converge towards values that maximize population growth in the new range.</p> <p><strong>Location:</strong> Germany.</p> <p><strong>Time period: </strong>12,000 years BP to present.</p> <p><strong>Major taxa studied: </strong>46 plant species of the Asteraceae family.</p> <p><strong>Methods:</strong> We set up a common-garden mesocosm-experiment using annual plant species with a wide range of residence times (7-12,000 years) and followed their population dynamics over two years. We calculated climatic distance between the common garden and the species' native range. We also measured key functional traits of each species to analyse trait-demography relationships and test trait convergence with increasing residence time.</p> <p><strong>Results: </strong>We found no support for the hypothesis that negative effects of climatic mismatches on population growth weaken with residence time. However, seed mass had a clear negative effect on population growth. As expected under such strong directional selection between or within species, increasing residence time led seed mass to converge to low values that increase population growth. Accordingly, population growth tended to increase with residence time.</p> <p><strong>Main conclusions: </strong>We identify trait but not climatic mismatches as important constraints on population growth of invaders. Understanding how inter- and intraspecific selection shapes functional traits of alien species should improve the predictability of future invasions and help understanding limits to the population growth and spread of invaders already present. In a broader context, this study contributes to the conceptual integration of invasion biology with community, functional, and population ecology.</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
<p>1. The study of functional traits offers predictive power for community ecology. Particularly in cases where individual species are difficult to study, known properties of trait spectra, such as the leaf economics spectrum (LES), and trait-environment relationships can provide crucial generalizable information that can contribute to forecasts of distributional shifts in response to the abiotic effects of climate and land use changes.</p> <p>2. Vascular epiphytes have been proposed as indicators of environmental change, but we know little about the ecology of most species. Key functional trait assumptions are based on terrestrial plants; testing these in epiphytes verifies their universality and will inform applying functional traits in predicting epiphyte responses to climate and land use change.</p> <p>3. In this study, we use functional traits from 37 vascular epiphyte species from forests and shade coffee farms at two sites in northern Nicaragua. We compare correlations among traits and intraspecific trait variances with those of terrestrial plants and among epiphyte taxonomic groups. We also test trait responses to environmental differences between sites and land use types, and within zones of the tree.</p> <p>4. We find that epiphyte leaf traits fall toward the slower end of the LES, but with about one-third lower leaf nitrogen per change in specific leaf area (SLA) relative to terrestrial herbaceous plants. Bromeliads show less relationship between these traits than other epiphyte groups and also deviate in other trait interrelationships, suggesting unique leaf construction.</p> <p>5. Trait-environment relationships varied most strongly along vertical gradients within trees, but some traits, including SLA and carbon isotope ratio, also responded to land use and site differences.</p> <p>6. We present evidence that trait relationships established for terrestrial plants appear to translate to epiphytes, but identify some possible caveats. Strong trait response to vertical gradients within trees suggests that within-canopy shifts could provide resilience to climate and land use changes for some epiphyte species.</p>
Adaptive potential of Coffea canephora from Uganda in response to climate change
<p>Understanding vulnerabilities of plant populations to climate change could help preserve their biodiversity and reveal new elite parents for future breeding programs. To this end, landscape genomics is a useful approach for assessing putative adaptations to future climatic conditions, especially in long-lived species such as trees. We conducted a population genomics study of 207 <i>Coffea canephora</i> trees from seven forests along different climate gradients in Uganda. For this, we sequenced 323 candidate genes involved in key metabolic and defense pathways in coffee. Seventy-one SNPs were found to be significantly associated with bioclimatic variables, and were thereby considered as putatively adaptive loci. These SNPs were linked to key candidate genes, including transcription factors, like <i>DREB</i>-like and <i>MYB</i> family genes controlling plant responses to abiotic stresses, as well as other genes of organoleptic interest, like the <i>DXMT</i> gene involved in caffeine biosynthesis and a putative pest repellent. These climate-associated genetic markers were used to compute genetic offsets, predicting population responses to future climatic conditions based on local climate change forecasts. Using these measures of maladaptation to future conditions, substantial levels of genetic differentiation between present and future diversity were estimated for all populations and scenarios considered. The populations from the forests Zoka and Budongo, in the northernmost zone of Uganda, appeared to have the lowest genetic offsets under all predicted climate change patterns, while populations from Kalangala and Mabira, in the Lake Victoria region, exhibited the highest genetic offsets. The potential of these findings in terms of <i>ex-situ</i> conservation strategies are discussed.</p>
Predicted alteration of vertebrate communities in response to climate-induced elevational shifts
<p><strong>Aim</strong></p> <p>Climate change is driving species to migrate to novel areas as current environments become unsuitable. As a result, species distributions have shifted uphill in montane ecosystems globally, leading to projections of severe impacts on upland specialist species. Heterogenous dispersal rate among shifting species could result in complex changes to community assemblages. For example, interspecific differences in dispersal ability could lead to the disruption, or creation, of species interactions and processes within communities, likely amplifying the impact of climate change on ecosystems. Here, we provide a comprehensive assessment of the impacts of climate change on communities and ecosystems by developing a novel spatially explicit approach focussing on changes in local populations.</p> <p><strong>Location</strong></p> <p>The Australian Wet Tropics.</p> <p><strong>Method</strong></p> <p>We used a spatially explicit approach to simulate the elevational shift of 7,613 community assemblages (defined at the patch level) along the elevational gradient, using empirical information about the distribution of 202 vertebrate species. We analysed changes in community structures and species co-occurrence derived from the elevational shift as a proxy for potential changes in species interactions.</p> <p><strong>Results</strong></p> <p>Our results showed a consistent pattern of increasing temporal β-dissimilarity between community assemblages along the elevational gradient resulting from local species extinctions. The local extinction rate was especially remarkable at high elevations, suggesting potential mass local extinctions of upland species unable to shift to the isolated mountaintops. Furthermore, the increasing local extinction rate with elevation resulted in a marked decline in species co-occurrence towards mountaintops.</p> <p><strong>Main conclusions</strong></p> <p>Our study highlights the escalating impact of climate change on community assemblages in response to climate-induced elevational shifts in species' ranges, providing a classic example of the "escalator to extinction". Future predictions of the impacts of climate change on ecosystems will benefit from improvements in understanding species interactions and species potential to adapt to a changing environment.</p>
Data and code from: Opposite, but insufficient, phenological responses to climate in two circumpolar seabirds: relative roles of phenotypic plasticity and selection
<p><span>The magnitude of climate change has been greatest in the Arctic, accelerating climate-induced shifts in phenology, but wildlife responses vary. Variation may be due to the relative importance of phenotypic plasticity or phenotypic selection.</span></p> <p><span>Here, we examine and contrast the environmental drivers of plasticity in breeding phenology of two circumpolar seabirds at their receding summer range limit using unique datasets of marked individuals </span><span>covering </span><span>25 and 30</span><span> years</span><span>. Based on prior knowledge of the local ecosystems, we predicted that climate would generate opposing patterns of plasticity in the two populations.</span></p> <p><span>Laying phenology of kittiwakes in the Gulf of Alaska was associated with a large-scale climate oscillation (Pacific Decadal Oscillation) while the Arctic-breeding murres adjusted </span><span>laying to sea-ice conditions. Kittiwakes laid earlier after experiencing colder climate about two years prior and laying dates did not advance over the study, but murres laid earlier when warmer climate led to earlier spring sea-ice break-up, and murre laying dates advanced by one week since 1990. Selection favoured earlier laying in both species.</span></p> <p><span>Both populations adjusted breeding phenology to environmental variation, but we anticipate opposing effects on phenology with continued climate change. Ice-constrained species can likely adapt to some extent because plasticity can provide the necessary shift to this physical barrier, although individuals were only able to adjust by ~one week while ice conditions advanced by over a month</span><span>. </span><span>In more temperate regions</span><span>,</span><span> where phenology is driven by bottom-up effects, plasticity and selection counteract one another leading to limited adaptability. We provide insights into the likely adjustments by Arctic marine animals to an increasingly warmer and ice-less summer.</span></p>
ARISE-SAI-1.5: Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection, with cooling to 1.5C
<p>Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection (ARISE-SAI) is a set of simulations carried out with the Community Earth System Model, version 2 with the Whole Atmosphere Community Climate Model, version 6 (CESM2(WACCM6)) that aims at simulating a plausible deployment of solar climate intervention of stratospheric aerosol injection to enable community assessment of responses of the Earth system. This first set of simulations introduce stratospheric aerosol injection at ~ 21 km in simulated year 2035, called ARISE-SAI-1.5, utilize the middle-of-the-road SSP2-4.5 emission scenario,, and keep global mean surface air temperature near 1.5°C above the pre-industrial value. Sulfur dioxide injections in the ARISE-SAI-1.5 simulations are placed at four injection locations (15°S, 15°N, 30°S, 30°N) into one grid box at 180° longitude, and midpoint altitude of 21.6 km. The injection amount at each latitude is specified annually by a “controller” algorithm. This strategy ensures that the global mean surface temperature (T0), north-south temperature gradient (T1), and equator-to-pole temperature gradient (T2) remain close to ~ 1.5°C above the pre-industrial value throughout the simulation.</p> <p> </p> <p>The files contained here contain output of surface temperature (TREFHT), total precipitation (PRECT), SO4, and controller log files with amounts of SO2 injection. </p>
Evolution in response to climate in the native and introduced ranges of a globally distributed plant
<p><span>The extent to which species can adapt to spatiotemporal climatic variation in their native and introduced ranges remains unresolved. To address this, we examined how clines in cyanogenesis (HCN production—an antiherbivore defense associated with decreased tolerance to freezing) have shifted in response to climatic variation in space and time over a 60-year period in both the native and introduced ranges of <em>Trifolium repens</em>. HCN production is a polymorphic trait controlled by variation at two Mendelian loci (<em>Ac</em> and <em>Li</em>). Using phenotypic assays, we estimated within-population frequencies of HCN production and dominant alleles at both loci (i.e., <em>Ac</em> and <em>Li</em>) from 10,575 plants sampled from 131 populations on 5 continents, and then compared these frequencies to those from historical data collected in the 1950s. There were no clear relationships between changes in the frequency of HCN production, <em>Ac</em>, or <em>Li</em> and changes in temperature between contemporary and historical samples. We did detect evidence of continued evolution to temperature gradients in the introduced range, whereby the slope of contemporary clines for HCN and <em>Ac</em> in relation to winter temperature became steeper than historical clines and more similar to native clines. These results suggest that cyanogenesis clines show no clear changes through time in response to global warming, but introduced populations continue to adapt to their contemporary environments.</span></p>
Riding an escalator: upward range shift and patterns of genetic response to climate change in Acer caudatifolium
<p><strong>Aim </strong></p> <p>Rapid global warming is threatening global biodiversity, and it will likely lead to varying degrees of local adaptation, particularly among plant species. Besides, rising temperatures frequently result in upslope distribution shifts towards climatic optima (i.e., the escalator effect) within a limited dispersal space, such as in insular environments. Here, we integrated ecological and genetic approaches to investigate how climate change will impact the genetic compositions and spatial distributions of Taiwan endemic maple <em>Acer caudatifolium</em>.</p> <p><strong>Location </strong></p> <p>Taiwan</p> <p><strong>Methods </strong></p> <p>We estimate the distribution range shifts of <em>A. caudatifolium</em> under climate change through species distribution modeling (SDM). We also use 368 genotyped samples to infer dispersal and genetic hotspots and quantify the contributions of geography/environments to genetic variations. We further assess the potential risk to <em>A. caudatifolium</em> under different climate warming scenarios.</p> <p><strong>Results </strong></p> <p>We detected three genetic diversity hotspots near mountainous glacial refugia and two dispersal hotspots in northern Taiwan and the central-to-southern Central Mountain Range. Overall range reductions and an altitudinal upslope-shift were observed in SDM. Using both linear and nonlinear regression approaches, we found that genetic variation was significantly associated with geographic distance and elevation-related climatic variables. The potential risk analysis revealed that the northernmost summit-dwelling populations were the most vulnerable. Furthermore, the major risk factor differed among populations: for central populations, temperature and precipitation jointly determined the potential risk, whereas precipitation was the only risk factor for northern and southern populations.</p> <p><strong>Main conclusions</strong></p> <p>This case study demonstrates how various climate factors, mountain height, and the availability of corridors jointly determine the demographic fates and sustainability of island maples in the face of climate change. This study also provided estimates of the implications of global warming, which can be conducive to developing appropriate conservation strategies.</p>
Invasive rodent responses to experimental and natural hurricanes with implications for global climate change
<p>Hurricanes cause dramatic changes to forests by opening the canopy and depositing debris onto the forest floor. How invasive rodent populations respond to hurricanes is not well understood, but shifts in rodent abundance and foraging may result from scarce fruit and seed resources that follow hurricanes. We conducted studies in a wet tropical forest in Puerto Rico to better understand how experimental (Canopy Trimming Experiment) and natural (Hurricane Maria) hurricane effects alter populations of invasive rodents (Rattus rattus [rats] and <em>Mus musculus</em> [mice]) and their foraging behaviors. To monitor rodent populations, we used tracking tunnels (inked and baited cards inside tunnels enabling identification of animal visitors' footprints) within experimental hurricane plots (arborist trimmed in 2014) and reference plots (closed canopy forest). To assess shifts in rodent foraging, we compared seed removal of two tree species (Guarea guidonia and Prestoea acuminata) between vertebrate-excluded and free-access treatments in the same experimental and reference plots, and did so 3 months before and 9 months after Hurricane Maria (2017). Trail cameras were used to identify animals responsible for seed removal. Rat incidences generated from tracking tunnel surveys indicated that rat populations were not significantly affected by experimental or natural hurricanes. Before Hurricane Maria there were no mice in the forest interior, yet mice were present in forest plots closest to the road after the hurricane, and their forest invasion coincided with increased grass cover resulting from open forest canopy. Seed removal of Guarea and Prestoea across all plots was rat dominated (75%-100% rat-removed) and was significantly less after than before Hurricane Maria. However, following Hurricane Maria, the experimental hurricane treatment plots of 2014 had 3.6 times greater seed removal by invasive rats than did the reference plots, which may have resulted from rats selecting post-hurricane forest patches with greater understory cover for foraging. Invasive rodents are resistant to hurricane disturbance in this forest. Predictions of increased hurricane frequency from expected climate change should result in forest with more frequent periods of grassy understories and mouse presence, as well as with heightened rat foraging for fruit and seed in pre-existing areas of disturbance.</p>
Response of distribution patterns of two closely related species in Taxus genus to climate change since last inter-glacial
<p>Climate change affects species' spatio-temporal distribution deeply. However, how climate affects the spatio-temporal distribution pattern of related species on the large scale remains largely unclear. Here, we selected two closely related species in the <em>Taxus</em> genus, <em>Taxus chinensis</em> and <em>Taxus mairei,</em> to explore their distribution pattern. Four environmental variables were employed to simulate the distribution patterns using the optimized Maxent model. The results showed that the highly suitable area of <em>T. chinensis</em> and <em>T. mairei</em> in the current period was 1.616 × 10<sup>5</sup> km<sup>2</sup> and 3.093 × 10<sup>5</sup> km<sup>2</sup>, respectively. The distribution area of <em>T. chinensis</em> was smaller than that of <em>T. mairei</em> in different periods. Comparison of different periods shows that the distribution area of the two species was almost in stasis from LIG to the future periods. Temperature and precipitation were the main climate factors that determined the potential distribution of the two species. The centroids of <em>T. chinensis</em> and <em>T. mairei</em> were in Sichuan and Hunan provinces in current period, respectively. In the future, the centroid migration direction of the two species would shift towards the northeast. Our results revealed that the average elevation distribution of <em>T. chinensis</em> was higher than that of <em>T. mairei</em>. This study sheds new insights into the habitat preference and limiting environmental factors of the two related species and provides a valuable reference for the conservation of these two threatened species.</p>
Climate mitigation potential and soil microbial response of cyanobacteria-fertilized bioenergy crops in a cool semi-arid cropland
<p>Bioenergy carbon capture and storage (BECCS) systems can serve as decarbonization pathways for climate mitigation. Perennial grasses are a promising second-generation lignocellulosic bioenergy feedstock, but optimizing their sustainability, productivity, and climate mitigation potential requires an evaluation of how nitrogen (N) fertilizer strategies interact with greenhouse gas (GHG) and soil organic carbon (SOC) dynamics. Further, crop and fertilizer choice can affect the soil microbiome which is critical to soil organic matter turnover, nutrient cycling, and sustaining crop productivity but these feedbacks are poorly understood due to the paucity of data from agroecosystems. Here, we examine the climate mitigation potential and soil microbiome response to establishing two functionally different perennial grasses, switchgrass (Panicum virgatum, C4), and tall wheatgrass (Thinopyrum ponticum, C3), in a cool semi-arid agroecosystem under two fertilizer applications, a novel cyanobacterial biofertilizer (CBF) and urea. Finally, we examine shifts in soil microbial composition resulting from crop establishment and fertilizer regime. We find that in contrast to the C4 crop, the C3 crop achieved 98% greater productivity and had a higher N use efficiency when fertilized and the CBF produced the same biomass enhancement as urea. Non-CO2 greenhouse gas fluxes across all treatments were low and we observed a three-year net loss of SOC under the C4 crop and a net increase under the C3 crop at a 0-30 cm soil depth regardless of fertilization. Further, we detected crop-specific changes in the soil microbiome, including an increased relative abundance of arbuscular mycorrhizal fungi under the C3, and potentially pathogenic fungi in the C4 grass. Taken together, these findings highlight the potential of CBF-fertilized C3 crops as a second-generation bioenergy feedstock in semiarid regions as a part of a climate mitigation strategy.</p>
Plant secondary metabolic responses to global climate change: A meta-analysis in medicinal and aromatic plants
<p><span>Plant secondary metabolites (SMs) play crucial roles in plant-environment interactions and contribute greatly to human health. Global climate changes are expected to dramatically affect plant secondary metabolism, yet a systematic understanding of such influences is still lacking. Here, we employed medicinal and aromatic plants (MAAPs) as model plant taxa and performed a meta-analysis from 360 publications using 1828 paired observations to assess the responses of different SMs levels and the accompanying plant traits to elevated carbon dioxide (eCO<sub>2</sub>), elevated temperature (eT), elevated nitrogen deposition (eN), and decreased precipitation (dP). The overall results showed that phenolic and terpenoid levels generally respond positively to eCO<sub>2</sub> but negatively to eN, while the total alkaloid concentration was increased remarkably by eN. By contrast, dP promotes the levels of all SMs, while eT exclusively exerts a positive influence on the levels of phenolic compounds. Further analysis highlighted the dependence of SM responses on different moderators such as plant functional types, climate change levels or exposure durations, mean annual temperature and mean annual precipitation. Moreover, plant phenolic and terpenoid responses to climate changes could be attributed to the variations in C/N ratio and total soluble sugar levels, while the <em>trade-off</em> supposition contributed to SM responses to climate changes other than eCO<sub>2</sub>. Taken together, our results predicted the distinctive SM responses to diverse climate changes in MAAPs, and allowed us to define potential moderators responsible for these variations. Further, linking SM responses to C-N metabolism and growth-defence balance provided biological understandings in terms of plant secondary metabolic regulation.</span></p>
Hydrologic Response of the Columbia River System to Climate Change
<p>Hydrologic projections for the Columbia River Basin and coastal drainages in the Pacific Northwest, United States.</p> <p>See http://www.hydro.washington.edu/CRCC/ for more information.</p> <p> </p>
Data from: Data for habitat quality or quantity? Niche marginality across 21 plants and animals suggests differential responses between highland and lowland species to past climatic changes
<p>Climatic changes can affect species distributions, population abundance, and evolution. Such organismal responses could be determined by the amount and quality of available habitats, which can vary independently. In this study, we assessed changes in habitat quantity and quality independently to generate explicit predictions of the species' responses to climatic changes between Last Glacial Maximum (LGM) and present day. We built ecological niche models and distribution models for 21 reptile, mammal, and plant taxa from the Baja California peninsula inhabiting lowland or highland environments. Geological data suggests the CCSM global circulation model is a better representation of LGM climate for the Baja California peninsula. Significant niche divergence was detected for all clades within species, along with significant differences in the niche breadth and area of distribution between northern and southern clades. Most clades showed a reduction in distribution area towards LGM. Further, niche marginality (used as a measure of habitat quality) was higher during LGM for most clades, except for northern highland species. Our results suggest that changes in habitat quantity and quality can affect organismal response independently. This allows the prediction of genomic signatures associated with changes in effective population size and selection pressure that could be explicitly tested to support our models.</p>
Dataset used in publication titled " Dependence of climate and carbon cycle response in net zero emission pathways on the magnitude and duration of positive and negative emission pulses"
<p>Essential model data use to produce figures and tables for the publication titled " Dependence of climate and carbon cycle response in net zero emission pathways on the magnitude and duration of positive and negative emission pulses"</p>
Data from: Leaf morphological traits show greater responses to changes in climate than leaf physiological traits and gas exchange variables
<p>Adaptation to changing conditions is one of the strategies plants use to survive climate change. Here, we ask whether plants' leaf morphological and physiological traits/gas exchange variables have changed in response to recent, anthropogenic climate change. We grew seedlings from resurrected historic seeds from <em>ex-situ </em>seed banks and paired modern seeds in a common-garden experiment. Species pairs were collected from regions that had undergone differing levels of climate change using an emerging framework – Climate Contrast Resurrection Ecology, allowing us to hypothesise that regions with greater changes in climate (including temperature, precipitation, climate variability and climatic extremes) there would be greater trait responses in leaf morphology and physiology over time. Our found that in regions where there were greater changes in climate, there were greater changes in average leaf area, leaf margin complexity, leaf thickness and leaf intrinsic water use efficiency. Changes in leaf roundness, photosynthetic rate, stomatal density and the leaf economic strategy of our species were not correlated with changes in the climate. Our results show that leaves do have the ability to respond to changes in climate, however, there are greater inherited responses in morphological leaf traits than in physiological traits/variables, and greater responses to extreme measures of climate than gradual changes in climatic means. It is vital for accurate predictions of species' responses to impending climate change to ensure that future climate change ecology studies utilise knowledge about the difference in both leaf trait and gas exchange responses, and the climate variables that they respond to.</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.