Search Results (13)

Accurate maize yield forecasting under climate uncertainty remains a critical challenge for global food security, yet existing studies predominantly rely on single-model frameworks, limiting generalizability and actionable insights. This study selected three regions, specifically Dali, Lijiang, and Zhaotong, and collected data on 12 agronomic traits of 114 varieties, along with eight sets of meteorological data, covering the period from 2019 to 2023. We employed three machine learning models: Random Forest (RF), Support Vector Machine (SVM), and XGBoost. The results revealed a strong correlation between yield and multiple agronomic traits, particularly grain weight per spike (GWPS) and hundred-kernel weight (HKW). Notably, the XGBoost model emerged as the top performer across all three regions. The model achieved the lowest RMSE (0.22–191.13) and a good R² (0.98–0.99), demonstrating exceptional predictive accuracy for yield-related traits. The comparative analysis revealed that XGBoost exhibited superior accuracy and stability compared to RF and SVM. Through feature importance analysis, four critical determinants of yield were identified: GWPS, shelling percentage (SP), growth period (GP), and plant height (PH). Furthermore, partial dependence plots (PDPs) provided deeper insights into the nonlinear interactive effects between GWPS, SP, GP, PH, and yield, offering a more comprehensive understanding of their complex relationships. This study presents an innovative, data-driven methodology designed to accurately forecast corn yield across diverse locations. This approach offers valuable scientific insights that can significantly enhance precision agricultural practices by enabling the precise tailoring of fertilizer usage and irrigation strategies. The results highlight the importance of integrating agronomic and meteorological data in yield forecasting, paving the way for development of agricultural decision-support systems in the context of future climate change scenarios. This study presents an innovative, data-driven methodology designed to accurately forecast corn yield across diverse locations. This approach offers valuable scientific insights that can significantly enhance precision agricultural practices by enabling the precise tailoring of fertilizer usage and irrigation strategies. Full article

Activating mutations in the epidermal growth factor receptor (EGFR) are key oncogenic drivers across multiple cancers, yet the structural mechanisms by which these mutations promote persistent receptor activation remain elusive. Here, we investigate how three clinically relevant mutations—T790M, L858R, and the T790M_L858R double mutant—reshape EGFR’s conformational ensemble and regulatory network architecture. Using multiscale molecular simulations and kinetic modeling, we show that these mutations, particularly in combination, enhance flexibility in the αC-helix and A-loop, favoring activation-competent states. Markov state modeling reveals a shift in equilibrium toward active macrostates and accelerated transitions between metastable conformations. To resolve the underlying coordination mechanism, we apply neural relational inference to reconstruct time-dependent interaction networks, uncovering the mutation-induced rewiring of allosteric pathways linking distant regulatory regions. This coupling of conformational redistribution with network remodeling provides a mechanistic rationale for sustained EGFR activation and suggests new opportunities for targeting dynamically organized allosteric circuits in therapeutic design. Full article

Forest ecosystems are crucial for terrestrial ecosystem stability, particularly in carbon sequestration, nutrient cycling, and water conservation. With climate change exacerbating, understanding changes in suitable habitats for the main European tree taxa [Norway spruce (Picea abies), pedunculate oak (Quercus robur), and European beech (Fagus sylvatica)] and their drivers is critical for forest conservation in Europe. Here, we analyzed the factors driving the tree taxa distribution and suitable habitats under the current and two future scenarios, namely, optimistic and pessimistic. Based on a species distribution model, climatic, land use, and topographic factors were introduced as variables. This study determined that the main factors driving the tree taxa distributions were temperature, followed by land use. Under the future optimistic scenario, the suitable habitats change for the three tree taxa. Suitable habitats emerge in high-latitude regions and the northern Mediterranean. Meanwhile, suitable habitats are decreasing in Central Europe. Under the pessimistic scenario, more significant changes occurred in these regions. The total suitable habitat area for the three tree taxa did not change consistently under both scenarios. The suitable habitat area for Norway spruce increased, whereas that for pedunculate oak decreased. However, both regions with increasing or decreasing suitable habitats face the potential for forest succession, which will also affect the stability of forest ecosystem functions and should be a key focus. Full article

As symbiotic mycorrhizal associates, species within the genus Laccaria play pivotal roles in forest ecosystems, specifically forming ectomycorrhizal relationships with the root systems of various plants. Some Laccaria species are recognized for their edibility, holding potential as a sustainable food source in the context of future food security and dietary diversification. In this study, the species diversity of Laccaria in Yunnan was investigated, and four novel species were identified. Their taxonomical positions and phylogenetic affinities were confirmed through phylogenetic analysis based on ITS, nrLSU, tef1-α, and rpb2 sequence data. Macro- and micro-morphological characteristics of the new species are also given here. Laccaria brownii sp. nov. has a dark to slightly desaturated orange pileus, stipe context broadly fistulose and soft orange, and relatively smaller cheilocystidia and pleurocystidia. Laccaria orangei sp. nov. has a hemispherical to paraboloid pileus, abundant narrowly clavate, flexuose, and branched cheilocystidia. Laccaria ruber sp. nov. pileus is red on the margin, clearly striate on the pileus surface, basidia clavate, mostly four-spored, rarely two-spored. Laccaria stipalba sp. nov. stipe surface is white, long sterigmata (4–13 μm × 2–3 μm), pleurocystidia narrowly clavate to subclavate, flexuose or mucronate, rarely branch. The descriptions, illustrations, and phylogenetic analysis results of the new taxa are provided. In addition, the new taxa are compared with closely related taxa. Full article

Rapid urbanization leads to fragmentation and reduced connectivity of urban landscapes, endangering regional biodiversity conservation and sustainable development. Constructing a red, green, and blue spatial ecological network is an effective way to alleviate ecological pressure and promote economic development. Using circuit theory, hydrological analysis, and suitability analysis, this study constructs a composite ecological network under urban–rural integration. The results show the following: (1) A total of 22 ecological corridors with a length of 349.20 km, 22 ecological pinch points, and 22 ecological barrier points are identified in the municipal area, mainly distributed in Haidong Town. There are 504 stormwater corridors, which are more evenly distributed, 502 riverfront landscape corridors, and 130 slow-moving landscape corridors. (2) A total of 20 ecological corridors, with a length of 99.23 km, 19 ecological pinch points, and 25 barrier points were identified in the main urban area, and most of them are located in the ecological corridors. There are 71 stormwater corridors, mainly located in the northwestern forest area, 71 riverfront recreation corridors, and 50 slow-moving recreation corridors. (3) Two scales of superimposed ecological source area of 3.65 km², and eleven ecological corridors, are primarily distributed between Erhai Lake and Xiaguan Town. There are two superimposed stormwater corridors and fourteen recreational corridors. The eco-nodes are mostly distributed in the east and south of Dali City; wetland nodes are mainly situated in the eighteen streams of Cangshan Mountain; and landscape nodes are more balanced in spatial distribution. The study results can provide a reference for composite ecological network construction. Full article

This study explores the impact of anthropogenic land use changes on the macroinvertebrate community structure in the streams of the Cangshan Mountains. Through field collections of macroinvertebrates, measurement of water environments, and delineation of riparian zone land use in eight streams, we analyzed the relationship between land use types, stream water environments, and macroinvertebrate diversities. The results demonstrate urban land use type and water temperature are the key environmental factors driving the differences in macroinvertebrate communities up-, mid-, and downstream. The disturbed streams had lower aquatic biodiversity than those in their natural state, showing a decrease in disturbance-sensitive aquatic insect taxa and a more similar community structure. In the natural woodland area, species distributions may be constrained by watershed segmentation and present more complex community characteristics. Full article

Both spotted-wing drosophila (SWD, Drosophila suzukii) and American black cherry (ABC, Prunus serotina) are invasive species with major deleterious effects on forest ecosystems in Europe. ABC, a host of SWD, can sustain large populations of SWD, and SWD in turn can constrain the regeneration of its host. Here, we examined the range shifts of SWD, ABC, and their range overlap under future scenarios using range shift models. In the current–future scenarios, both SWD and ABC were predicted to undergo potential range expansions in Europe, suggesting that their invasion risks might increase in the future. Climate change might be the major driver of range shifts of both the pest and host, followed by land-use and host availability changes; therefore, mitigating future climate change might be key for controlling their future invasions in Europe. The relative contribution of climate and host availability to shaping the potential ranges of invasive species might not only vary with their feeding habitats (polyphagy/oligophagy) but also with the relative abundance of hosts among available host reservoirs. Range overlap under current and future scenarios was mainly observed in the UK, Germany, France, Switzerland, Italy, and Eastern Europe; this area is of high and low priority for the control of SWD and ABC, respectively. Full article

Conspecific negative density dependence (CNDD) is an important mechanism for species coexistence and community dynamics. Phylogenetic negative density dependence (PNDD) and functional negative density dependence (FNDD) are extensions of CNDD, and many studies have shown that they have become powerful and reliable methods for exploring the mechanisms of species coexistence. However, most studies have focused on only one or two of these mechanisms and have not considered whether and how habitat variables affect the detection of these density dependences. To investigate the relative importance of these mechanisms, we set up three 0.09 ha dynamic plots at Cangshan Mountain in southwest China, and used generalized linear mixed models to analyze how the survival of 546 woody plant seedlings was affected by neighborhood density and habitat variables. Our results showed that heterospecific seedling density dependence and functional trait density dependence played key roles in seedling survival. Habitat factors, phylogenetic densities, and adult neighbors had no significant effect on seedling survival in the three plots. However, habitat filtering covered the detection of density dependence and functional trait density dependence. Our study demonstrates that failure to control for habitat variables may obscure the importance of density dependence and functional trait density dependence on seedling survival. Full article

The desert locust Schistocerca gregagia (Forskål, 1775) is one of the most harmful migratory pests in the world, posing a major threat to agricultural production, livelihoods, and food security. Climate, land use, and topography influence the distribution of desert locusts, but few studies have integrated all the factors on a global scale to explore the suitable areas for desert locusts and the paths through which this species could potentially spread. In this study, we established ensemble distribution models to investigate the distribution patterns and driving factors of desert locusts under baseline and future scenarios; we used ensembled niche dynamic models to evaluate their niche conservation during outbreaks. The results showed that the most important factor influencing desert locust distribution is climate, especially the minimum temperature of the coldest month, the annual precipitation, and the mean temperature of the driest quarter. Some areas with little or no desert locust distribution at present will be suitable for desert locusts in the future, and highly suitable contiguous areas may become the dispersal paths. The results also showed that the climatic niche of the desert locust is still conservative, which might explain why desert locusts tend to retreat after intermittent outbreaks rather than settle at the site of invasion. Therefore, more attention should be paid to the areas that are highly suitable for desert locusts, the key factors driving their outbreaks, and the shifting of their climatic niche in order to prevent desert locusts from settling in invasion areas and affecting local ecosystems and food security. Full article

During the investigation of lignicolous freshwater fungi in plateau lakes in Yunnan Province, China, eight Lentitheciaceae species were collected from five lakes viz. Luguhu, Qiluhu, Xingyunhu, Cibihu, and Xihu lake. Based on morphological characters and phylogenetic analysis of combined ITS, LSU, SSU, and tef 1-α sequence data, a new genus Paralentithecium, two new species (Paralentithecium suae, and Setoseptoria suae), three new records (Halobyssothecium phragmitis, H. unicellulare, and Lentithecium yunnanensis) and three known species viz. Halobyssothecium aquifusiforme, Lentithecium pseudoclioninum, and Setoseptoria bambusae are reported. Full article

Human activities provide migration opportunities for many ornamental plants and make them become a new potential invasion risk, threatening the local ecosystem. However, ornamental plants come from a wide range of sources, and there is still a lack of understanding on the distribution driving factors, ecological niche dynamics and invasion ability of ornamental plants based on the origin of different latitudes to evaluate their potential invasion risks. In this study, an ensemble of ecological niche model and a niche dynamic model were used to analyze the invasion potential of herbaceous and woody ornamental plants originating from different latitudes. The results showed that there were significant differences in environmental factors driving the distribution of plants originating from different latitudes, and climate-related factors were the primary driving force for each plant in the native and introduced regions. Urban land was the most influential factor in the introduced areas of most plants, potentially reflecting the importance of human activities in the distribution of ornamental plants. Additionally, only woody plants originating from mid-latitudes showed greater diffusivity than those originating in high latitudes and low latitudes, and the niche widths of all the herbaceous plants in the introduced regions nearly exceeded those in the native regions. This phenomenon was observed only in woody plants with mid-latitude origins. The niche similarity of all plant species between the introduced and native regions was high, indicating that all species in the introduced regions inherited niche characteristics from plants in the native regions. Full article

Vegetation and its spatiotemporal variations play a crucial role in regional ecological security and sustainable development. Examining vegetation dynamics in natural reserves provides valuable insights for optimizing vegetation patterns and management strategies. This study utilizes Landsat remote sensing imagery to investigate changes in vegetation pattern and coverage in the Cangshan mountain of the Cangshan Erhai National Nature Reserve, as well as assesses the effectiveness of conservation efforts. The results indicate the following: (1) The primary vegetation types in the Cangshan mountain include warm-temperate coniferous forests, deciduous broad-leaved forests, bamboo forests, and alpine meadows, exhibiting distinct vertical zonation patterns. The vegetated area expanded by 1146 hectares during the study period. (2) The average fractional of vegetation coverage (FVC) in the Cangshan mountain demonstrated an upward trend (0.82 in 1987 to 0.93 in 2017), with the proportion of highly FVC areas increasing from 59.67% in 1987 to 97.89% in 2017. (3) The vegetation landscape fragmentation in Cangshan mountain and various functional areas shows an increasing trend, while connectivity decreases, and is accompanied by a more intricate shape of the vegetation landscape. While conservation and management efforts have yielded certain results in safeguarding the vegetation in the Cangshan mountain, the degree of vegetation landscape fragmentation has intensified due to climate change and human activities. Thus, it is imperative for management authorities to promptly adjust protective measures within the Cangshan mountain. This study contributes to our understanding of vegetation changes within the Cangshan mountain and provides essential baseline information for optimizing and enhancing vegetation conservation management strategies within the reserve. Full article

Ecological corridor construction is an important support of the current pursuit of high-quality urbanization. Fuzhou is a mountain–water city characterized by a unique spatial structure. However, rapid urbanization has exacerbated the rate of ecosystem fragmentation, negatively impacting the livable living environment. The construction of ecological corridors is of great significance for efforts to restore the broken landscape and form the urban ecosystem as an organic whole in Fuzhou. In the present study, Fuzhou was considered as the study area, and the water, green, and ventilation corridors, as well as surface temperature data, were analyzed using the kernel density analysis method to generate surface-temperature-based ecological nodes. The impacts of various corridors and surface temperatures on the construction of the Fuzhou ecological corridors were assessed using ecological theory, and the ecological resistance surfaces of the influencing factors were obtained. We constructed ecological corridors for the mitigation of the urban heat island in Fuzhou using the MCR model with four levels and then evaluated the network connectivity of the corridors. The results revealed the following findings: (1) The study area comprises 32 ecological nodes, including nine in Minhou County and Changle District, four in Mawei and Cangshan Districts, and two in Gulou, Taijiang, and Jin’an Districts. (2) Fuzhou contains 63 ecological corridors with a total length of approximately 494.65 km. These include 31 first-level (201.16 km), 11 second-level (98.56 km), 14 third-level (129.12 km), and 7 fourth-level (65.81 km) corridors. (3) The degree of closure (α), the point rate of lines (β), the degree of connectivity (γ), and the degree of connectivity (Cr) indexes of the network structure for the ecological corridors were 0.27, 2.03, 0.72, and 0.87, respectively. They indicate that the overall ecological effectiveness of the network is high and can provide a theoretical basis for the construction of ecological corridors in the future. Full article