Snow cover is a critical factor controlling plant performance, such as survival, growth, and biomass, and vegetation cover in regions with seasonal snow (e.g., high-latitude and high-elevation regions), due to its influence on the timing and length of the growing season, insulation effect during winter, and biotic and abiotic environmental factors. Therefore, changes in snow cover driven by rising temperatures and shifting precipitation patterns are expected to alter plant performance and vegetation cover. Despite the rapid increase in research on this topic in recent decades, there is still a lack of studies that quantitatively elucidate how plant performance and vegetation cover respond to shifting snow cover across snowy regions. Additionally, no comprehensive study has yet quantitatively examined these responses across regions, ecosystems, and plant functional types. Here, we conducted a meta-analysis synthesizing data from 54 snow cover manipulation studies conducted in both the field and laboratory across snowy regions to detect how plants performance and vegetation cover respond to decreased or increased snow cover. Our results demonstrate that plant survival, aboveground biomass, and belowground biomass exhibited significant decreases in response to decreased snow cover, with rates of survival having the greatest decrease. In response to increased snow cover, plant survival, growth, biomass and vegetation cover tended to increase, except for plant belowground length growth and biomass, which showed significant decreases. Additionally, our quantitative analysis of plant responses to changes in snow cover across regions, ecosystems, and plant functional types revealed that cold regions with thin snow cover, tundra and forest ecosystems, and woody species are particularly vulnerable to snow cover reduction. Overall, this study demonstrates the strong controls that snow cover exerts on plant performance, providing insights into the dynamics of snow-covered ecosystems under changing winter climatic conditions.

Forests and grasslands often occur side by side in the landscape, forming a complex mosaic system with contrasting environmental conditions, maintained by different fire-vegetation stabilising feedbacks. Woody species that occur along this sharp gradient must adopt viable ecological strategies to deal with the contrasting environments of these ecosystems. For this, plants are challenged to efficiently coordinate the functioning of ecological strategy dimensions above- and below-ground. We tested hypotheses related to structural changes in vegetation and associated shifts in community-level trait patterns and ecological strategies during woody plant encroachment. We surveyed 60 permanent plots in forest-grassland mosaics at two different times (2012-2022) to obtain data on changes in vegetation structure, species composition, abundance and ecological strategies after 10 years without disturbance, capturing a gradient from open and woody plant-encroached grasslands to closed forests. An integrated functional approach was used to assess the different dimensions of plant trait variation, including 10 above- and below-ground traits, representing whole-plant, leaf, stem and root strategies. Woody plant encroachment led to a substantial increase in woody plant density in former grasslands, transforming their structure to resemble that of young forests. Interestingly, we found clear trade-offs between above- and below-ground traits among woody species. On the one hand, the species occurring in grassland had conservative leaves, a strategy for protection against high solar incidence, physical damage and drought, and had roots with a 'do-it-yourself' strategy, which ensures efficiency in the acquisition of nutrients and water in nutrient-limited soils, and had thick bark related to fire resistance. On the other hand, forest species were usually taller and had acquisitive leaves, indicating highly competitive ability in light-limited forests, whereas their roots had an 'outsourcing' strategy of resource uptake to mycorrhizal fungi in the nutrient-rich soils of forests. Synthesis: We advanced the current understanding of woody plant encroachment in grasslands by showing the underlying trait-based trade-offs that enable woody species to occur along the transition between forest and grassland through space and time. Importantly, we have shown how below-ground traits are important in explaining the species strategies, with a negative covariance between above- and below-ground. Our integrative trait-based approach will be helpful in better understanding and managing forest-grassland mosaics in southern Brazil and analogous patchy ecosystems around the world. Florestas e campos frequentemente ocorrem lado a lado na paisagem, formando um sistema mosaico complexo com condiçõ es ambientais contrastantes, mantido por diferentes feedbacks estabilizadores entre fogo e vegetaçã o. Espé cies lenhosas que ocorrem ao longo desse acentuado gradiente devem adotar estraté gias ecoló gicas viá veis para lidar com os ambientes contrastantes desses ecossistemas. Para isso, as plantas precisam coordenar eficientemente o seu funcionamento acima e abaixo do solo. No presente artigo nó s avaliamos mudanç as estruturais na vegetaçã o associadas com mudanç as funcionais na escala de comunidades e nas estraté gias ecoló gicas das espé cies durante o processo de adensamento de espé cies lenhosas. Para isso, realizamos a amostragem de 60 parcelas permanentes localizadas nos mosaicos campo-floresta, em dois perí odos de tempo (2012 e 2022). O objetivo foi de obter dados sobre mudanç as na estrutura da vegetaçã o, composiçã o de espé cies, abundâ ncia e estraté gias ecoló gicas apó s 10 anos sem distú rbios, capturando um gradiente que vai de campos abertos, campo adensado por plantas lenhosas até florestas fechadas. Utilizamos uma abordagem funcional integrada para aavaliar as diferentes dimensõ es funcionais das plantas, incluindo 10 atributos funcionais acima e abaixo do solo (incluindo atributos de folha, caule e raiz). O adensamento de espé cies lenhosas resultou em um aumento substancial na densidade de plantas lenhosas em á reas anteriormente ocupadas por campos, transformando sua estrutura que atualmente se assemelha à de florestas jovens. Curiosamente, identificamos claros trade-offs entre atributos funcionais acima e abaixo do solo em espé cies lenhosas. Por um lado, as espé cies ocorrendo em campos apresentaram folhas conservativas, uma estraté gia para proteçã o contra alta incidê ncia solar, danos fí sicos e seca, alé m de raí zes com uma estraté gia 'faç a você mesmo', garantindo eficiê ncia na aquisiçã o de nutrientes e á gua em solos pobres, e casca espessa relacionada à resistê ncia ao fogo. Por outro lado, espé cies de floresta foram geralmente mais altas e apresentaram folhas aquisitivas, indicando alta competitividade onde existe limitaçã o de luz, enquanto suas raí zes exibiram uma estraté gia de aquisiçã o de recursos mediada por fungos micorrí zicos, no ambiente onde os solos sã o mais ricos. Sí ntese. Avanç amos no entendimento atual sobre o adensamento de espé cies lenhosas sobre os campos ao demonstrar os trade-offs funcionais que permitem a ocorrê ncia de espé cies lenhosas ao longo da transiçã o entre floresta e campo no espaç o e no tempo. Mostramos, especialmente, como atributos funcionais abaixo do solo sã o importantes para explicar as estraté gias das espé cies, com uma covariâ ncia negativa entre atributos funcionais acima e abaixo do solo. Nossa abordagem integrativa baseada em atributos foi ú til para um melhor entendimento e manejo de mosaicos floresta-campo no sul do Brasil e em ecossistemas aná logos ao redor do mundo.

Invasive plants often express above-ground traits, such as higher growth than native plants, which promote their success. This may reflect low levels of invertebrate herbivory and/or high rates of arbuscular mycorrhizal fungi (AMF) association. However, the root traits that contribute to invasive success are less well known. Moreover, the combined roles of above-ground herbivory, AMF, and root traits in the invasion process are poorly understood. We conducted field surveys at 17 sites along a latitudinal gradient in China (22.77 degrees N to 42.48 degrees N) to investigate the relationships among above-ground herbivory, AMF colonization, and root traits for five pairs of closely related invasive and native Asteraceae plant species. We experimentally manipulated above-ground insect feeding for two of these pairs of plant species in a middle latitude (34.79 degrees N) common garden. We measured above-ground invertebrate abundance, leaf damage, AMF colonization, root morphological traits associated with nutrient uptake, and root soluble sugar concentrations. In the field survey, invasive plants had lower leaf damage and Hemiptera abundances plus higher AMF colonization, thinner roots with more surface area and higher concentrations of root soluble sugars than native plants. Leaf damage decreased with increasing latitude for native plants. In the common garden, invasive plants had lower leaf damage and Hemiptera abundances plus higher AMF and greater surface area of fine roots than native plants. Leaf damage and Hemiptera reduced AMF colonization via a phenotypic effect of reduced fine root soluble sugars. Synthesis: Our results indicate that low above-ground invertebrate herbivory on invasive plants contributes to their success directly by increasing their growth and indirectly via root soluble sugars that increase their AMF colonization. Invasive plants appear to benefit from greater root volume and surface area, but this did not vary with latitude or above-ground invertebrate herbivory. These results highlight the importance of considering above- and below-ground processes simultaneously to understand how they interact to determine plant invasion success.

Drought may impact plant-soil biotic interactions in ways that modify aboveground herbivore performance, but the outcomes of such biotic interactions under future climate are not yet clear. We performed a growth chamber experiment to assess how long-term, drought-driven changes in belowground communities influence plant growth and herbivore performance using a plant-soil feedback experimental framework. We focussed on two common pasture legumes-lucerne, Medicago sativa L., and white clover, Trifolium repens L. (both Fabaceae)-and foliar herbivores-cotton bollworm, Helicoverpa armigera (H & uuml;bner) (Lepidoptera: Noctuidae), and two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae). Soil was collected from a field facility where rainfall had been manipulated for 6 years, focussing on treatments representing ambient rainfall and prolonged drought (50% reduction relative to ambient), to consider the effects of biological legacies mediated by the prolonged drought. All soils were sterilized and re-inoculated to establish the respective home (i.e. where a given plant is cultivated in its own soil) and away (i.e. where a given plant is cultivated in another species' soil) treatments in addition to a sterile control. We found that the relative growth rate (RGR) and relative consumption of larvae were significantly lower on lucerne grown in soil with ambient rainfall legacies conditioned by white clover. Conversely, the RGR of insect larvae was lower on white clover grown in soil with prolonged drought legacies conditioned by lucerne. Two-spotted spider mite populations and area damage (mm2) were significantly reduced on white clover grown in lucerne-conditioned soil in drought legacies. The higher number of nodules found on white clover in lucerne-conditioned soil suggests that root-rhizobia associations may have reduced foliar herbivore performance. Our study provides evidence that foliar herbivores are affected by plant-soil biotic interactions and that prolonged drought may influence aboveground-belowground linkages with potential broader ecosystem impacts.

Organic inputs from aboveground litter and underground roots are an important factor affecting nutrient cycling in forest ecosystems. However, we still know little about the seasonal effects of the interaction between aboveground and underground organic inputs on soil organic carbon, nutrients and microorganisms after vegetation restoration in degraded red soil. Therefore, we focused on a mixed forest dominated by Schima superba and Pinus massoniana that had been restored for 27 years on eroded and degraded red soil in a subtropical region. Five treatments were set as follows: retaining aboveground litter + retaining root + retaining mycorrhizae (LRM, control treatment), doubling aboveground litter + retaining root + retaining mycorrhizae (DLRM), removing aboveground litter + retaining root + retaining mycorrhizae (NRM), removing aboveground litter + removing root + retaining mycorrhizae (NNM), and removing aboveground litter + removing root + removing mycorrhizae (NNN). After more than three years of treatment, DLRM, NRM, NNM, and NNN treatments reduced soil moisture content by 32.0-56.8 % in the rainy season compared with the LRM treatment. Soil total nitrogen and ammonium nitrogen concentrations were the highest in the DLRM treatment. Soil ammonium concentration and pH were higher in the rainy season than those in the dry season, while soil nitrate concentration was higher in the dry season. Soil available phosphorus concentration in the dry season decreased by 64.5 % in the DLRM treatment, while they were 2.0-10.7 times of those in the LRM, NRM, NNM, and NNN treatments compared to the rainy season. Soil microbial communities were dominated by bacteria across treatments, accounting for 74.0-75.5 % of the total phospholipid fatty acid (PLFA) of soil microbes, and there was no significant difference among treatments. Except for fungi, the total PLFAs of soil microorganisms and the PLFA content of each microbial taxon were higher in the dry season than those in the rainy season. The F/B value in the rainy season was higher than that in the dry season. The PLFA contents of gram-positive bacteria and actinomyces in the DLRM and NRM treatments were higher than those in the NNM treatment, and PLFA contents of both in the dry season were 1.5 and 1.6 times of those in the rainy season, respectively. Soil total phosphorus and pH had the highest contribution to soil microbial community changes in rainy and dry seasons, respectively. Comprehensive evaluation showed that double aboveground litter addition was more conducive to soil quality improvement. In conclusion, litter, roots and mycorrhiza manipulations affected the PLFA contents of soil microorganisms through the regulation of soil physicochemical properties, rather than the proportions of each microbial taxon in the total PLFAs, which was related to the season. The results can provide a theoretical basis for soil quality improvement as driven by soil microorganisms during the restoration of degraded red soil.

Within the transit-oriented development framework, aboveground structure-connected underground structures (ASUS) have been widely constructed in urban areas; however, abrupt stiffness changes and complex soil-structure interactions could cause structural damage or business disruption after earthquakes. In this study, to address these challenges, a novel approach is proposed that employs negative stiffness, damping elements, and friction pendulum bearings to enhance the overall performance of ASUS. An interaction-performance-driven design procedure and parameter selection methodology are developed to simultaneously upgrade multiple performance aspects of ASUS. A mechanical model of the negative stiffness amplification systemenabled friction pendulum system (NSAS-FPS) is constructed. The theoretical basis of the equivalent negative stiffness and enhanced energy dissipation effects is elucidated, and a finite element model of the NSAS-FPS-incorporated soil-ASUS interaction system is established. Extensive parametric, robustness, and correlation analyses against short/long-period ground motions are conducted to provide a comprehensive performance assessment framework. Then, an interaction-performance-driven design principle aimed at multiperformance upgrading of aboveground and underground structures is developed with proposed parameter selections and applied in a case study. These results indicate a significant improvement in vibration control for both aboveground and underground structures when utilizing NSAS-FPS compared to utilizing conventional FPSs with the same design. By following the proposed design procedure and parameters, the NSAS-FPS demonstrates enhanced efficiency in isolating energy dissipation and robustness in seismic isolation, as well as resistance against overturning, irrespective of variations in structural masses and functionalities. While the advantages of the NSAS-FPS include its ability to mitigate the effects of stochastic earthquakes, the extent of the performance improvement may decrease during long-period earthquakes. Therefore, the velocity characteristics of seismic excitations need to be carefully incorporated into the NSAS-FPS design, particularly when targeting specific demands for the isolation-layer performance within ASUS.

Aboveground biomass (AGB) serves as a crucial measure of ecosystem productivity and carbon storage in alpine grasslands, playing a pivotal role in understanding the dynamics of the carbon cycle and the impacts of climate change on the Qinghai-Xizang Plateau. This study utilized Google Earth Engine to amalgamate Landsat 8 and Sentinel-2 satellite imagery and applied the Random Forest algorithm to estimate the spatial distribution of AGB in the alpine grasslands of the Beiliu River Basin in the Qinghai-Xizang Plateau permafrost zone during the 2022 growing season. Additionally, the geodetector technique was employed to identify the primary drivers of AGB distribution. The results indicated that the random forest model, which incorporated the normalized vegetation index (NDVI), the enhanced vegetation index (EVI), the soil-adjusted vegetation index (SAVI), and the normalized burn ratio index (NBR2), demonstrated robust performance in regards to AGB estimation, achieving an average coefficient of determination (R2) of 0.76 and a root mean square error (RMSE) of 70 g/m2. The average AGB for alpine meadows was determined to be 285 g/m2, while for alpine steppes, it was 204 g/m2, both surpassing the regional averages in the Qinghai-Xizang Plateau. The spatial pattern of AGB was primarily driven by grassland type and soil moisture, with q-values of 0.63 and 0.52, and the active layer thickness (ALT) also played a important role in AGB change, with a q-value of 0.38, demonstrating that the influences of ALT should not be neglected in regards to grassland change.

Seasonal grazing is a common alternative to the rest-rotation grazing management regime. Although that research has been extensive on the impacts of grazing on soil organic carbon (SOC) and nitrogen (N) sequestration, there is limited understanding of the regulatory mechanisms of plant productivity and species on SOC and N sequestration under seasonal grazing. To address this problem, the response of plant properties was quantified in five different seasonal grazing regimes (no grazing control, continuous grazing, early summer and late summer grazing, mid summer and early autumn grazing, late summer and mid autumn grazing) in a semi-arid grassland of North China between 2012 and 2018. The results indicated that early summer and late summer grazing had little damage to the plant communities but reduced the SOC and N sequestration in the 10-20 cm layer, while mid summer and early autumn grazing maintained a relatively high plant productivity but resulted in the losses of SOC and N sequestration in the 0-20 cm layer. The late summer and mid autumn grazing regime enhanced SOC and N sequestration in the 0-20 cm layer by producing higher yields of Stipa krylovii and root biomass. The improved biomass of S. krylovii and roots is an indicator of soil quality evolution in the context of grazing management. It is therefore proposed that the late summer and mid autumn grazing regime, including a two-month rest period, is likely to be a beneficial strategy to conserve both plant communities and soil nutrients for sustainable management of the studied grassland.

Soil arthropods can affect plant growth and aboveground interactions directly via root herbivory and indirectly through nutrient cycling and interactions with soil microorganisms. Research on these effects of soil arthropods has focused on a few taxa within natural systems, largely neglecting agroecosystems and arthropod community-level effects. This study investigated the effects of soil arthropod communities from cereal-based agroecosystems on wheat plant growth and above-belowground interactions. Nutrient cycling and wheat growth were measured in a greenhouse microcosm experiment using field-collected agricultural soils from two rotational schemes with and without their soil arthropod communities. The effects of soil arthropods on aboveground phytohormones and colony growth of an aphid [Metopolophium festucae cerealium (Stroyan)] infesting the plants were measured. Wheat grown in soils with arthropod communities had significantly greater root (+ Arth mean: 0.15 +/- 0.01 g; - Arth mean: 0.06 +/- 0.01 g; F-1,F-54 = 72.34, p 0.05), was significantly greater on wheat grown in soils with arthropods. Aphids, in turn, modified the effects of soil arthropods on root architecture and increased the abundance of soil arthropods. Wheat grown in soils with arthropods had increased levels of stress- and defense-related phytohormones in response to aphid herbivory, while phytohormones of wheat plants grown in soils without arthropods did not differ with aphid presence. Soil arthropod communities may help plants defend against herbivores aboveground by facilitating phytohormone induction while offsetting costs by increasing soil nutrients and modifying plant growth. By using taxonomically diverse field-collected soil arthropod communities from agroecosystems, this study showed that community-level effects on plant growth are more complex and dynamic than the effects of any single taxon, such as Collembola, illustrating that interactions within communities can produce emergent properties that alter the net effect of soil arthropods on plant growth. The results indicate that community-level effects of soil organisms should be considered as part of sustainable plant production and protection strategies.

Extensive, detailed information on the spatial distribution of active layer thickness (ALT) in northern Alaska and how it evolves over time could greatly aid efforts to assess the effects of climate change on the region and also help to quantify greenhouse gas emissions generated due to permafrost thaw. For this reason, we have been developing high-resolution maps of ALT throughout northern Alaska. The maps are produced by upscaling from high-resolution swaths of estimated ALT retrieved from airborne P-band synthetic aperture radar (SAR) images collected for three different years. The upscaling was accomplished by using hundreds of thousands of randomly selected samples from the SAR-derived swaths of ALT to train a machine learning regression algorithm supported by numerous spatial data layers. In order to validate the maps, thousands of randomly selected samples of SAR-derived ALT were excluded from the training in order to serve as validation pixels; error performance calculations relative to these samples yielded root-mean-square errors (RMSEs) of 7.5-9.1 cm, with bias errors of magnitude under 0.1 cm. The maps were also compared to ALT measurements collected at a number of in situ test sites; error performance relative to the site measurements yielded RMSEs of approximately 11-12 cm and bias of 2.7-6.5 cm. These data are being used to investigate regional patterns and underlying physical controls affecting permafrost degradation in the tundra biome.