Evaluating effects of climate change on the spatial distribution of an atypical cavefish Onychostoma macrolepis.

Comprehending endangered species' spatial distribution in response to global climate change (GCC) is of great importance for formulating adaptive management, conservation, and restoration plans. However, it is regrettable that previous studies mainly focused on geoclimatic species, while neglected climate-sensitive subterranean taxa to a large extent, which clearly hampered the discovery of universal principles. In view of this, taking the endemic troglophile riverine fish Onychostoma macrolepis (Bleeker, 1871) as an example, we constructed a MaxEnt (maximum-entropy) model to predict how the spatial distribution of this endangered fish would respond to future climate changes (three Global Climate Models × two Shared Socio-economic Pathways × three future time nodes) based on painstakingly collected species occurrence data and a set of bioclimatic variables, including WorldClim and ENVIREM. Model results showed that variables related to temperature rather than precipitation were more important in determining the geographic distribution of this rare and endemic fish. In addition, the suitable areas and their distribution centroids of O. macrolepis would shrink (average: 20,901.75 km2) and move toward the northeast or northwest within the study area (i.e. China). Linking our results with this species' limited dispersion potential and unique habitat requirements (i.e. karst landform is essential), we thus recommended in situ conservation to protect this relict.

Species range shifts of notorious invasive fish species in China under global changes: Insights and implications for management.

Due to global changes, e.g., climate change and trade globalization, China is facing an increasingly severe threat from invasive freshwater fish species, which have the potential to cause negative impacts across various aspects and pose significant challenges for their eradication once established. Therefore, prioritizing the understanding of invasive species' potential ranges and their determinants is vital for developing more targeted management strategies. Moreover, it is equally essential to consider the transitory range dynamics of invasive species that reflect changes in habitat availability and accessibility. Here, we used species distribution models (the maximum entropy algorithm) to assess the potential distributions of six notorious invasive fish species (i.e., Coptodon zillii, Cyprinus carpio, Gambusia affinis, Hemiculter leucisculus, Oreochromis mossambicus, and Oreochromis niloticus) in current and future (i.e., the 2030s, 2050s, and 2070s) periods along with their determinants, under two Shared Socio-economic Pathways scenarios (SSP1-2.6 and SSP5-8.5; global climate model: MRI-ESM2-0). Our results showed that the habitat suitability for the six species substantially benefited from temperature conditions (i.e., annual mean temperature or maximum temperature of warmest month). Throughout the given time periods, dramatic range expansions would occur for C. zillii, G. affinis, O. mossambicus, and O. niloticus, ranging from 38.61% to 291.90%. In contrast, the range of C. carpio would change slightly and irregularly, while H. leucisculus would contract marginally, with losses ranging from 1.06% to 12.60%. By the 2070s, species richness of these species would be relatively high in South, Central, and East China and parts of Southwest China. Furthermore, transitory fluctuations in the species ranges for all six species were observed throughout the entire time period (the 2030s-2070s). Given the range shifts for each species during different time periods, as well as time costs and budgets, adaptation strategies should be developed and implemented in the areas where they are most needed in each time period.

Anthropogenic activities and environmental filtering have reshaped freshwater fish biodiversity patterns in China over the past 120 years.

Over the past centuries, freshwater fish introductions and extinctions have been the major environmental and ecological crises in various water bodies in China. However, consequences of such crises on freshwater fish biodiversity in China remain only partially or locally studied. Furthermore, identifications of relatively sensitive areas along with stressors (i.e., environmental and anthropogenic drivers) influencing freshwater fish biodiversity patterns are still pending. Taxonomic, functional, and phylogenetic facets of biodiversity can well describe and evaluate the underlying processes affecting freshwater fish biodiversity patterns under different dimensionalities. Here we thus evaluated temporal changes in these facets of freshwater fish biodiversity as well as a new developed biodiversity index, multifaceted changes in fish biodiversity, for over a century at the basin level throughout China using both alpha and beta diversity approaches. We also identified the drivers influencing the changes in fish biodiversity patterns using random forest models. The results showed that fish assemblages in Northwest and Southwest China (e.g., Ili River basin, Tarim basin, and Erhai Lake basin) experienced extreme temporal and multifaceted changes in the facets of biodiversity compared with other regions, and environmental factors (e.g., net primary productivity, average annual precipitation, and unit area) largely drove these changes. Since fish faunas in over 80% of China's water bodies covering more than 80% of China's surface were currently undergoing taxonomic, functional, and phylogenetic homogenization, targeted conservation and management strategies should be proposed and implemented, especially for the areas with relatively high changes in biodiversity.

Capturing response differences of species distribution to climate and human pressures by incorporating local adaptation: Implications for the conservation of a critically endangered species.

Considering local adaptation has been increasingly involved in forecasting species distributions under climate change and the management of species conservation. Herein, we take the critically endangered Chinese giant salamander (Andrias davidianus) that has both a low dispersal ability and distinct population divergence in different regions as an example. Basin-scale models that represent different populations in the Huanghe River Basin (HRB), the Yangtze River Basin (YRB), and the Pearl River Basin (PRB) were established using ensemble species distribution models. The species ranges under the future human population density (HPD) and climate change were predicted, and the range loss was evaluated for local basins in 2050 and 2070. Our results showed that the predominant factors affecting species distributions differed among basins, and the responses of the species occurrence to HPD and climate factors were distinctly different from northern to southern basins. Future HPD changes would be the most influential factor that engenders negative impacts on the species distribution in all three basins, especially in the HRB. Climate change will likely be less prominent in decreasing the species range, excluding in the YRB and PRB under the highest-emissions scenario in 2050. Overall, the high-emissions scenario would more significantly aggravate the negative impacts produced by HPD change in both 2050 and 2070, with maximum losses of species ranges in the HRB, YRB, and PRB of 83.4%, 60.0%, and 53.5%, respectively, under the scenarios of the combined impacts of HPD and climate changes. We proposed adapted conservation policies to effectively protect the habitat of this critically endangered animal in different basins based on the outcomes. Our research addresses the importance of incorporating local adaptation into species distribution modeling to inform conservation and management decisions.

Size dependent effects of nanoplastics and microplastics on the nitrogen cycle of microbial flocs.

NANO: and microplastics (NPs/MPs) are a new type of persistent environmental pollutant. Microbial flocs are a type of microbial aggregate commonly used in aquaculture. To investigate the impact of NPs/MPs on microbial flocs with different particle sizes: NPs/MPs-80 nm (M 0.08), NPs/MPs-800 nm (M 0.8), and NPs/MPs-8 µm (M 8), NPs/MPs exposure tests (28 days) and ammonia nitrogen conversion tests (24 h) were conducted. The results showed that the particle size was significantly higher in the M 0.08 group when compared with the control group (C group). The TAN (total ammonia nitrogen) content of each group maintained the order of M 0.08 > M 0.8 > M 8 > C from days 12-20. The nitrite content in the M 0.08 group was significantly higher on day 28 than that in the other groups. In the ammonia nitrogen conversion test, the nitrite content of the C group was significantly lower than that of the NPs/MPs exposure groups. The results suggested that NPs contributed to microbial aggregation and affected microbial colonization. In addition, NPs/MPs exposure could reduce microbial nitrogen cycling capacity, with a size-dependent toxicity difference of NPs > MPs. The findings of this study are expected to fill the research gap on the mechanisms of NPs/MPs' impact on microorganisms and the nitrogen cycle in aquatic ecosystems.

Identification and characterization of long non-coding RNAs in intestinal immune regulation of largemouth bass, Micropterus salmoides, under acute heat stress.

Long noncoding RNAs (lncRNAs), which are RNA molecules that do not code for proteins and have a length exceeding 200 base pairs, have been found to play a crucial role in regulating intestinal immunity. The high mortality of various fish species induced by high temperatures is known to be associated with enteritis. Our investigation demonstrated that acute heat stress was responsible for inducing fish enteritis. However, the specific lncRNAs involved this process remains unknown. In this current study, we utilized intestinal sequencing data from the largemouth bass species Micropterus salmoides under acute heat stress, resulting in a total of 347,351,492 clean reads obtained from six cDNA libraries. A total of 3399 novel lncRNA transcripts originating from 2488 distinct lncRNA genes were successfully identified. Consistent with previous findings in other fish species, these lncRNAs demonstrated comparatively shorter transcript lengths when compared to protein-coding genes. Furthermore, a total of 216 novel lncRNA exhibited differential expression (DE) in the intestine of largemouth bass, meeting the criteria of absolute log2 fold change exceeding 2 and a p-value below 0.05. Additionally, these DE-lncRNAs were found to regulate 210 neighboring genes in a cis-regulatory manner. An examination of GO/KEGG enrichment revealed a notable enrichment of immune regulation (p < 0.05) among these cis-genes, with lncRNA MSTRG.8573.1 playing a significant role in regulating the jak-stat signaling pathway during this process. This study presents a comprehensive inventory of novel DE-lncRNA implicated in the development of enteritis in largemouth bass under acute heat stress. These findings offer valuable insights for future investigations on the regulation of lncRNAs to mitigate heat stress-induced fish enteritis.

Temporal correlations of ferroptosis, inflammation and oxidative stress under acute ammonia exposure in brain tissue of yellow catfish (Pelteobagrus fulvidraco).

Ammonia is one of the most serious environmental stressors which severely affect fishery production. Ammonia toxicity to fish has a tight relationship with oxidative stress, inflammation and ferroptosis (a type of programmed cell death characterized by iron-dependent lipid peroxidation), but the temporal response of the above three in brain remains unclear. In the present study, yellow catfish were exposed to three concentrations of ammonia: low concentration (TA-N ˂ 0.01 mg L-1, LA), middle concentration (TA-N 5.70 mg L-1, MA), high concentration (TA-N 28.50 mg L-1, HA) for 96 h. Brain was selected as target tissues for analysis. Results showed that ammonia stress resulted in firstly increased contents of hydroxyl radical at 1 h, total iron at 12 h, malondialdehyde at 48 h, respectively, and decreased contents of GSH at 3 h. The initial high expression levels of ferroptosis (GPX4, system xc-, TFR1) and inflammatory-related factors (NF-ƙB p65, TNF, COX-2, and LOX-15B), antioxidant enzymes genes (SOD and CAT) were observed at first hour upon MA or HA stress. Combining all, it suggested that brain ferroptosis and inflammation were the first to be activated at the initial stage of ammonia stress, and then that provoked oxidative stress.

Spatial pattern and determinants of global invasion risk of an invasive species, sharpbelly Hemiculter leucisculus (Basilesky, 1855).

Invasive species have imposed huge negative impacts on worldwide aquatic ecosystems and are generally difficult or impossible to be eradicated once established. Consequently, it becomes particularly important to ascertain their invasion risk and its determinants since such information can help us formulate more effective preventive or management actions and direct these measures to those areas where they are truly needed so as to ease regulatory burdens. Here, we examined the global invasion risk and its determinants of sharpbelly (Hemiculter leucisculus), one freshwater fish which has a high invasive potential, by using species distribution models (SDMs) and a layer overlay method. Specifically, first an ensemble species distribution model and its basal models (developed from seven machine learning algorithms) were explored to forecast the global habitat-suitability and variables importance for this species, and then a global invasion risk map was created by combining habitat-suitability with a proxy for introduction likelihood (entailing propagule pressure and dispersal constraints) of exotic sharpbelly. The results revealed that (1) the ensemble model had the highest predictive power in forecasting sharpbelly's global habitat-suitability; (2) areas with high invasion risk by sharpbelly patchily spread over the world except Antarctica; and (3) the Human Influence Index (HII), rather than any of the bioclimatic variables, was the most important factor influencing sharpbelly' future invasion. Based on these results, the present study also attempted to propose a series of prevention and management strategies to eliminate or alleviate the adverse effects caused by this species' further expansion.

Species range shifts in response to climate change and human pressure for the world's largest amphibian.

The Chinese giant salamander, Andrias davidianus, the world's largest amphibian, is critically endangered and has an extremely unique evolutionary history. Therefore, this species represents a global conservation priority and will be impacted by future climate and human pressures. Understanding the range and response to environmental change of this species is a priority for the identification of targeted conservation activities. We projected future range shifts of the Chinese giant salamander under the independent and combined impacts of climate change and human population density (HPD) variations by using ensemble species distribution models. We further evaluated the sustainability of existing nature reserves and identified priority areas for the mitigation or prevention of such pressures. Both climate change and increasing HPD tended to reduce the species range, with the latter leading to greater range losses and fragmentation of the range. Notably, 65.6%, 18.0% and 18.4% of the range loss were attributed solely to HPD change, solely to climate change and to their overlapping impacts, respectively. Overall, the average total and net losses of the species range were 52.5% and 23.4%, respectively, and HPD and climate changes were responsible for 71.4% and 28.6% of the net losses, respectively. We investigated the stability of the remaining species range and found that half of the nature reserves are likely vulnerable, with 57.1% and 66.7% of them likely to lose their conservation value in 2050 and 2070, respectively. To effectively protect this salamander, conservation policies should address both pressures simultaneously, especially considering the negative impact of human pressures in both contemporary periods and the near future. The species range shifts over space and time projected by this research could help guide long-term surveys and the sustainable conservation of wild habitats and populations of this ancient and endangered amphibian.

Age, growth, mortality and recruitment of thin sharpbelly Toxabramis swinhonis Günther, 1873 in three shallow lakes along the middle and lower reaches of the Yangtze River basin, China.

Despite being the most dominant and widespread small fish species in the lakes along the middle and lower reaches of the Yangtze River basin, Toxabramis swinhonis has been paid little attention by fisheries scientists and little is known about its population characteristics. For this reason, we estimated age, growth, mortality and recruitment of this species based on three shallow lakes, Biandantang Lake, Shengjin Lake and Kuilei Lake (BDT, SJH and KLH, respectively) in this region. A total of 13,585 (8,818 in BDT, 2,207 in SJH and 2,560 in KLH) individuals were collected during monthly sampling from July 2016 to September 2017. The results revealed that the age structures of T. swinhonis consisted of four age groups (0+-3+), with 0+-1+ year old fish comprising more than 98% of the samples. Allometric growth patterns were displayed by fish from all sampling sites and the von Bertalanffy growth functions estimated were L t = 173.25 (1 - e-1.20 (t + 1.09)): BDT; L t = 162.75 (1 - e-1.20 (t + 1.08)): SJH and L t = 215.25 (1 - e-1.20 (t + 1.12)): KLH, respectively. The rates of total mortality (Z), natural mortality (M) and fishing mortality (F) at BDT, SJH and KLH were computed as 5.82, 5.50 and 4.55 year-1; 1.89, 1.87 and 1.75 year-1; 3.93, 3.63 and 2.80 year-1, respectively. Meanwhile, growth performance indices (φ') were 0.68 (in BDT), 0.66 (in SJH) and 0.62 (in KLH), which indicated that T. swinhonis were overfished slightly in all study areas. Area-specific recruitment patterns were similar to each other, displaying evidence of batch spawning, with major peaks in April and August, accounting for 92.21% (BDT), 88.21% (SJH) and 88.73% (KLH) of total recruitment, respectively. These results showed that brief generation-time, fast growth rate, relatively high natural mortality rate and strong reproductive capacity (r-strategies) are reasons why this species became the most dominant species in many lakes of China.