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    Effects of climate warming on carbon sink of forest ecosystems: Mechanisms, methods, and progresses.
    FANG Yunting, LIU Dongwei, DUAN Yihang, HUANG Kai, WANG Wenchao, QIN Yujing, WANG Ang, WANG Chao, LIU Yuqi, TU Ying
    Chinese Journal of Ecology    2024, 43 (9): 2551-2565.   DOI: 10.13292/j.1000-4890.202409.043
    Abstract470)      PDF(pc) (1745KB)(274)       Save
    Forests are important carbon sinks, absorbing about 33% of the carbon dioxide released from fossil fuel combustion each year. Since 1850, global temperature has increased by 1.1 ℃, and in the future, global temperatures are likely to rise to 2.7-4.8 ℃. However, there are controversies over the direction, degree, and mechanisms of the impact of global warming on forest carbon sequestration, which seriously affects the prediction of future global climate change and the policy-making of government carbon emission control. This article summarizes the mechanisms, research methods, and main progresses of the impact of global warming on the carbon sink capacity and processes of forest ecosystems. In addition, we propose future priority research areas.

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    A review of soil carbon, nitrogen, phosphorus and stoichiometry studies in China.
    WANG Jiarui, ZHOU Junju, ZHU Guofeng
    Chinese Journal of Ecology    2024, 43 (8): 2493-2501.   DOI: 10.13292/j.1000-4890.202408.011
    Abstract433)      PDF(pc) (1028KB)(203)       Save
    Soil C, N, P contents and stoichiometric ratios reflect the quantity and quality of soil organic matter, as well as element balance and constraints, which is of great significance for understanding ecological specificity and stability. Here, we summarized and analyzed the research on the spatial and temporal variations of soil C, N, P and their ratios and the driving factors in China, aiming to clarify the evolution of soil C, N, P and stoichiometric ratios at different spatial and temporal scales in China, and prospected the future research focuses. Under the combined effects of hydrothermal factors, land use/cover types and soil physicochemical properties, soil C, N, P and stoichiometric ratios showed different patterns in spatial and temporal scales. We further elucidated the mechanisms underlying stoichiometric characteristics and the coupling patterns of biogeochemical cycles. Our review will provide strong theoretical support for further research in ecosystem ecology.

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    Dynamic assessment and carbon sequestration potential prediction of forest aboveground carbon stock in Northeast China.
    WANG Yao, LIANG Yu, LIU Bo, MA Tianxiao, WU Miaomiao, DOU Jiahui, WANG Xugao
    Chinese Journal of Ecology    2025, 44 (2): 353-364.   DOI: 10.13292/j.1000-4890.202502.038
    Abstract349)      PDF(pc) (4834KB)(356)       Save
    Northeast China, with the largest area of forests in China, holds approximately 40% of the national forest carbon stock. Over the past few decades, extensive afforestation and forest restoration efforts have been implemented in this region, yet their impacts on carbon cycling remain unclear. Accurately predicting the future aboveground carbon storage and carbon sequestration potential of the forests in Northeast China is of significance for devising forest management policies. We utilized publicly available forest inventory data to develop a framework which integrated the ecological process model and forest landscape model to simulate the succession process and carbon storage dynamics of Northeast China’s forests over the next 100 years. We employed multisource data (remote sensing data, forest inventory data, and other model outcomes) to validate the simulation results at multiple scales, to enhance the precision of the model simulations. The study aimed to estimate the carbon sequestration potential of forests in Northeast China and quantify the turning point of carbon sequestration. The results showed that: (1) The spatial distribution of forest aboveground carbon storage simulated by the model aligns closely with spatial distribution data derived from remote sensing in literature (Kappa coefficient = 0.81). Furthermore, we validated the model results from a stand age perspective. The proportions of forests in various age classes and the predominant tree species across different age classes correlated with forest inventory data (R2>0.6). (2) Under the current climate conditions, forest aboveground carbon stock in Northeast China would reach its peak at 6.38 Pg C by the year 2060. Compared to the year 2000, there would be a net increase of 4.57 Pg C in aboveground carbon storage and a net increase of 67.46 Mg·hm-2 in aboveground carbon density. (3) Without considering climate change and forest management policies, the carbon sequestration rate in Northeast China’s forests exhibited a trend of initially increasing and then decreasing. The peak occurs between 2020-2025, reaching 0.108 Pg C·a-1. The rate is projected to reach zero between 2070-2075 when forests shift from carbon sink to source.

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    Research progress on remediation technology of petroleum contaminated soil.
    LI Jun, HU Jian, MA Wenmin, WANG Peng, ZHENG Houyi, LU Ran
    Chinese Journal of Ecology    2024, 43 (8): 2502-2512.   DOI: 10.13292/j.1000-4890.202408.028
    Abstract262)      PDF(pc) (589KB)(90)       Save
    Industrialization has promoted the prosperity of global oil industry. However, soil pollution caused by oil production and utilization is becoming more and more serious. The green, economical, stable and efficient remediation technology of petroleum polluted soil has been developed. Based on the present situation and the harm of petroleum contaminated soil, we summarized the existing physical, chemical, biological, and combined remediation technologies and remediation mechanisms of petroleum contaminated soil. Meanwhile, we expounded the applicable conditions, advantages, and disadvantages of different restoration methods. Finally, we prospected the future deve-lopment direction and challenge of remediation technology of petroleum contaminated soil. This work provides a reference for the research of remediation of petroleum contaminated soil and the selection of engineering application technology.

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    Productivity and carbon budget dynamics of forests under different topographic conditions on Tibetan Plateau.
    DOU Jiahui, LIANG Yu, HUAI Baojuan, WU Miaomiao, LIU Bo, MA Tianxiao, WANG Yao
    Chinese Journal of Ecology    2024, 43 (6): 1521-1530.   DOI: 10.13292/j.1000-4890.202406.048
    Abstract238)      PDF(pc) (3253KB)(220)       Save
    Topography is a main environmental factor affecting the spatial distribution of productivity and carbon budget of forests. Tibetan Plateau is an ideal place to study the effects of topography on the pattern of forest carbon budget due to its complex topography and abundant forest types. However, due to the difficulty of field investigation in the Tibetan Plateau forest area, there is a lack of comprehensive understanding of the impacts of topographic factors on forest carbon budget dynamics on Tibetan Plateau. Therefore, this study aimed to simulate the spatiotemporal variations of forest carbon budget on the Tibetan Plateau and analyze the differences of forest productivity and carbon budget dynamics under different topographic conditions. The temporal and spatial dynamics of gross primary productivity (GPP), above-ground biomass (AGB), and net ecosystem exchange (NEE) in middle-high altitude forests were simulated by using process-based model (FORMIND) under different topographic conditions, and the model applicability in the study area and the accuracy of the simulation results were verified. We analyzed current (2000-2014) and future (2015-2040) productivity and carbon budget. Furthermore, we quantified the relative importance of topographic factors on GPP, AGB, and NEE using XGBoost machine learning algorithm. The results showed that  GPP (6.73±0.53 t C·hm-2·a-1), AGB (167.23±17.45 t·hm-2), and NEE (0.32±0.12 t C·hm-2·a-1) simulated by FORMIND model were basically consistent with the data of plot survey and remote sensing observation, which verified the accuracy of the simulation results. In the future (2014-2040), there is an obvious increase in AGB, a slight increase in GPP, and a decreased but positive value in NEE, which indicated that forests would be carbon sinks. AGB and GPP were negatively correlated with elevation. AGB and NEE were weakly positively correlated with slope. The  GPP, AGB, and NEE of forests on sunny slope were higher than those on shady slope. Compared with slope and aspect, elevation had a greater effect on productivity and carbon budget dynamics of forests on the Tibetan Plateau. Our results are helpful to further understand the spatial distribution of forest productivity and carbon budget on the Tibetan Plateau.

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    Assessment of biomass resources for energy use potential in China.
    ZHOU Yanming, WANG Jiaoyue, WANG Shiyun, XI Fengming, BING Longfei, YIN Yan, HU Qinqin, ZHANG Lixia
    Chinese Journal of Ecology    2024, 43 (9): 2702-2713.   DOI: 10.13292/j.1000-4890.202409.029
    Abstract233)      PDF(pc) (4238KB)(98)       Save
    Biomass energy is an important renewable energy source, the effective exploitation of which is crucial to achieving China’s carbon peak and carbon neutrality targets. Biomass resources are abundant and diverse in China. However, few studies have conducted the quantitative and comprehensive assessment of biomass resources, leading to the estimates with large uncertainty. How much biomass resources are there in China? What is the potential for biomass energy use? All of these are the focuses of attention. In this study, we constructed a comprehensive biomass energy resource accounting framework. Based on the framework, we analyzed the spatial and temporal variations of biomass resources in China, and used ARIMA model to simulate and predict the future biomass resources and energy exploitation potential. The results showed that the amount of biomass resources and energy utilization potential in China increased from 17.64 and 10.91 EJ in 2001 to 30.59 and 18.08 EJ in 2019, with an average annual growth rate of 3%, respectively. China’s biomass resources mainly originated from agricultural and forest wastes, and manure, accounting for 78.5% of total biomass resources. Biomass resources in the Great Southwest, Middle Yellow River and Middle Yangtze River integrated economic zones were abundant (50.3%). At the province level, Henan, Shandong, Guangxi and Sichuan provinces were rich in biomass resources, accounting for 25.8% of total biomass resources. Along with the increases in population, grain production, livestock development, afforestation area, and urbanization, as well as clean energy construction, the biomass resources and energy development in China would grow correspondingly in the future. The amount of biomass resources and energy exploration potential would increase to 38.17 and 22.46 EJ by 2030, and 66.19 and 38.85 EJ by 2060, respectively. There would be enormous development potential for transforming clean biomass energy products. Our results will be conducive to promoting biomass energy sustainable development, providing data support for the establishment of a clean and low-carbon energy resources census and information platform in China.

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    Relationship between soil seed bank and vegetation: Role of seeds in ecosystem restoration.
    LI Xuehua, JI Feilong, LIU Zhimin, LI Xiaolan
    Chinese Journal of Ecology    2024, 43 (7): 1966-1972.   DOI: 10.13292/j.1000-4890.202407.035
    Abstract227)      PDF(pc) (523KB)(244)       Save
    As one of the key stages in the seed life history, soil seed bank can effectively link the gene memory of past vegetation and the development trend of future vegetation, which drives ecological functions such as chasing the evolution mechanism of source vegetation, maintaining the species diversity of community, and restoring ecosystem. We summarized the research progress of soil seed banks across global terrestrial ecosystems and analyzed the species similarity relationships between soil seed bank and the aboveground vegetation in order to clarify community assembly mechanism, grasp community succession direction and scientifically guide ecological restoration projects. The differences of study regions or ecosystems had little effect on the relationship between soil seed bank and vegetation. Overall, the research results were dominated by low similarity, with relatively few cases of high similarity. The relationships between soil seed bank and vegetation could be explained by in abiotic filters, site history, and interspecific differences of seed production. A low similarity between soil seed bank and vegetation suggests that the role of soil seed bank in natural ecological recovery may be limited in target species within a stabilizing ecosystem. How-ever, serving as a foundational source for natural restoration, soil seed bank can effectively address the singular and unstable issues in artificial ecological restoration measures. The key challenge in implementing restoration projects for degraded ecosystems lies in how to leverage the characteristics of soil seed bank and complement them with suitable artificial interventions.

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    Spatial-temporal variation and influencing factors of vegetation carbon use efficiency in mountain ecosystem on the northern slope of Tianshan Mountains.
    SUN Fenghua, WANG Yugang, SUN Jinjin, LI Shuangyuan, CHEN Bingming
    Chinese Journal of Ecology    2024, 43 (10): 2923-2931.   DOI: 10.13292/j.1000-4890.202410.031
    Abstract227)      PDF(pc) (3033KB)(188)       Save
    Vegetation carbon use efficiency (CUE) is an important indicator for ecosystem carbon sequestration capacity, and for assessing the regional vegetation carbon sink capacity. Based on remote sensing images and DEM data from 2000 to 2020, we analyzed the spatial and temporal variations and influencing factors of vegetation CUE in Fukang forest region on the north slope of Tianshan Mountains. The results showed that vegetation CUE in Fukang forest region ranged between 0.42 and 0.74, with an average annual value of 0.6. CUE value was the highest in the subalpine meadow zone and the lowest in the mid-mountain forest zone. There was obvious vertical zonal differentiation, with a “parabola” distribution pattern that decreased first and then increased with altitude. The patterns of both net primary productivity (NPP) and gross primary productivity (GPP) were opposite with CUE. The regional vegetation CUE showed limited interannual variation (P>0.05). The area with significantly increased CUE only accounted for 8.72% of the total area, which was mainly distributed in the mid-mountain forest zone, indicating that longterm forest management promoted the increase of vegetation CUE in the mid-mountain forest zone. There were no significant interannual changes in vegetation CUE values between non-grazing area and grazing area (P>0.05), indicating that grazing exclusion had a weak impact on vegetation CUE in forest areas. The distribution of CUE had spatial heterogeneity in slope aspect. CUE valve was the highest in sunny slopes both in the low-mountain grassland zone and mid-mountain forest zone, and in half-sunny slope in the subalpine meadow zone. The increase of precipitation, temperature, and NDVI directly reduced CUE, while the increase of evapotranspiration indirectly reduced CUE. Natural factors had less influence on CUE in the grazing exclusion area than that in the grazing area.

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    Research progress on soil nitrogen and phosphorus availability and influencing factors of different mycorrhizal tree species.
    SU Yingjia, YANG Kai, ZHANG Qian, XU Shuang, YU Lizhong, ZHANG Jinxin
    Chinese Journal of Ecology    2024, 43 (7): 2208-2221.   DOI: 10.13292/j.1000-4890.202407.026
    Abstract222)      PDF(pc) (640KB)(171)       Save
    Different mycorrhizal tree species play important roles in nitrogen (N) and phosphorus (P) cycling, with consequences on the cycling and availability of N and P mainly through microorganisms, litter decomposition, and root exudates. To understand the difference of N and P cycles between arbuscular mycorrhizal tree species and ectomycorrhizal tree species, we clarified the characteristics of soil N and P availability of different mycorrhizal tree species, and analyzed the abiotic and biological factors of mycorrhizal tree species affecting soil N and P availability by summarizing previous studies. The results show that mycorrhizal types of tree species significantly affect soil N and P availability. Specifically, soil N availability of arbuscular mycorrhizal tree species is higher than that of ectomycorrhizal tree species, while soil P availability of ectomycorrhizal tree species is higher than that of arbuscular mycorrhizal tree species in acidic soils. Furthermore, arbuscular mycorrhizal tree species tend to generate litter with higher quality (low carbon:nitrogen ratio, and low lignin) and promote microorganisms that can quickly mineralize organic matter (saprophytic fungi), leading to rapid nutrient cycling rate and high availability of soil inorganic N. By contrast, ectomycorrhizal tree species promote soil inorganic P availability by inducing broad enzymatic capabilities and more root exudation. Future works should analyze the changes in soil N and P availability of different mycorrhizal tree species in combination with functional traits and phylogenetic history of tree species.

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    The impact of warming on soil microbial communities in an alpine meadow of the Qinghai-Tibet Plateau.
    XIANG Xuemei, DE Kejia, LIN Weishan, FENG Tingxu, LI Fei, WEI Xijie
    Chinese Journal of Ecology    2024, 43 (6): 1681-1690.   DOI: 10.13292/j.1000-4890.202406.045
    Abstract221)      PDF(pc) (6187KB)(81)       Save
    How climate warming impacts soil microbial diversity and composition has long been a focal point in the research area of biodiversity and ecosystem function. However, the extent to which different levels of warming affect soil microbial communities in alpine meadow ecosystems remains largely unknown. We conducted a field experiment with different warming levels (W1, W2 and W3 respectively represented a gradual increase in temperature) in an alpine meadow of Yushu, Qinghai Province, and investigated soil microbial communities using high-throughput sequencing. The results showed that: (1) Climate warming significantly increased soil bacterial α-diversity and β-diversity. Specifically, the Shannon index of soil bacteria was increased by 2.70%, 3.87%, and 8.73% under the W1, W2, and W3 treatments, respectively, while the Chao1 index of soil bacteria was increased significantly by 17.82% under the W3 treatment (P<0.05). (2) Acidobacteria and Proteobacteria were the dominant bacterial phyla, while Ascomycota and Basidiomycota were the dominant fungal phyla. As temperature increased, the abundance of bacterial taxa increased, whereas the fungal population decreased. (3) Functional prediction of bacteria and fungi based on the PICRUSt and FUNGuild databases revealed changes in the potential metabolic functions of bacteria and ecological functions of fungi after climate warming. Functional genes with relative abundances exceeding 2% under different warming levels included Biosynthesis of ansamycins, Biosynthesis of vancomycin group, and Valine, leucine, and isoleucine biosynthesis pathways. Warming increased relative abundances of uncategorized saprotrophic fungi and arbuscular mycorrhizal fungi. These findings demonstrate that climate warming would alter soil microbial community diversity, composition, and function in alpine meadows of the Qinghai-Tibet Plateau.

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    Bird and habitat recognition based on deep learning algorithm: A case study of Beijing Cuihu National Urban Wetland Park.
    WANG Hongchang, XIA Fang, ZHANG Yuanyuan, LIU Yingjie, LIU Song, SONG Fei, JIAN Haifang
    Chinese Journal of Ecology    2024, 43 (7): 2231-2238.   DOI: 10.13292/j.1000-4890.202407.045
    Abstract219)      PDF(pc) (1913KB)(99)       Save
    Information on species identity, abundance, and habitat is the fundamental requirement in bird ecology research. The rapid development of artificial intelligence technology based on deep learning algorithm has made up for the shortcomings of traditional field investigation methods, providing an intelligent means for bird ecology research. By building a ResNet34 dualtask network model with adaptive loss function, a bird and habitat recognition model was built to realize the simultaneous identification of bird species and habitat types across four observation sites in Beijing Cuihu National Urban Wetland Park. A total of 10 bird species were recorded based on this model, including swan goose, gray heron, great cormorant and mallard. Night heron and gray heron use trees as main habitats. Swan goose and mallard use water as main habitats. Great cormorant, eastern spot-billed duck, and little egret use artificial habitats such as standing trees in water as main habitats. Common magpies mainly use the ground as habitat. Ruddy shelduck and mandarin duck have a wide range of habitats, which are distributed on the ground, artificial habitats, and water. The recognition accuracy of the proposed model reaches 95.62% for bird species and 97.20% for habitat types. The bird image acquisition method based on deep learning technology was used to replace the artificial data collection means, and the dual-task branch structure of “species + habitat” was used for the first time to identify species and habitat, which greatly improved the efficiency and ensures the objectivity and accuracy of data collection. It realizes the effective combination of avian ecology research and artificial intelligence, which has reference significance for the evolution of ecological research methods.

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    Vegetation changes and driving factors in the Qilian Mountains during 1982-2022.
    YANG Xin, XUE Huazhu, DONG Guotao, LIU Donghao, LI Zichuang
    Chinese Journal of Ecology    2024, 43 (6): 1576-1586.   DOI: 10.13292/j.1000-4890.202406.015
    Abstract207)      PDF(pc) (3756KB)(129)       Save
    Qilian Mountains is an important ecological security barrier in northwest China. In order to reveal the status and driving mechanism of vegetation cover change in the Qilian Mountains, we obtained 1 km NDVI data from 1982-2022 by integrating GIMMS NDVI and MODIS NDVI, combined with multi-temporal land use, vegetation, geomorphic and meteorological data. Using Theil-Sen trend analysis, Mann-Kendall significance test, and optimal parameter geographic detector model, we analyzed the spatio-temporal variation and spatial heterogeneity of NDVI in the Qilian Mountains. The results showed that vegetation coverage was relatively low in the northern region of Qilian Mountains and relatively high in the southeastern region. From 1982 to 2022, vegetation coverage in Qilian Mountains significantly increased, but appeared a trend of vegetation degradation in the past decade. The average annual precipitation and humidity index were the main driving factors affecting vegetation coverage, with explanatory power of 69.6% and 61.9%, respectively. The interaction between annual precipitation and elevation had a significant impact on the distribution of NDVI. This study revealed the types or ranges of driving factors that promote NDVI growth, providing scientific basis for better understanding the driving factors of NDVI changes in vegetation in the Qilian Mountains.

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    Responses of soil microbial structure and carbon cycling functions to degradation and artificial restoration of alpine meadows.
    HUANG Peng, DING Mingjun, ZHANG Hua, XU Huan, ZOU Tian’e, ZHANG Yueju, ZENG Huan
    Chinese Journal of Ecology    2024, 43 (6): 1691-1702.   DOI: 10.13292/j.1000-4890.202406.039
    Abstract202)      PDF(pc) (3738KB)(66)       Save
    We examined the impacts of degradation and artificial restoration of alpine grasslands on microbial communities and the related carbon cycling functions, with experiments being conducted on degraded alpine meadows and artificially restored grasslands in the Qinghai-Tibet Plateau. With metagenomic techniques, we analyzed the change of microbial structures and carbon cycling functions, and further explored the environmental factors driving the changes of carbon cycling functional genes. The results showed that degradation and artificial restoration of grasslands significantly altered soil and vegetation characteristics. The increase of soil microbial richness and diversity and the decrease of the relative abundance of dominant species indicated that microbial community tended to be homogeneous during degradation and artificial restoration of grasslands. The diversity of soil carbon cycling functional genes showed a trend of increasing, stabilizing, and increasing. The top 15 dominant species contributed more than 40% to carbon cycle functional genes, and such contribution decreased significantly under degradation and restoration of grasslands. The effect of individual soil or vegetation on microbial community structure was greater than that on microbial carbon cycling functional genes, while soil and vegetation interaction had stronger effect on the latter than the former. Specifically, carbon cycling functional gene diversity and abundance were significantly related to soil available nitrogen (ammonium nitrogen and nitrate nitrogen) and vegetation factors (coverage, biomass, and diversity). Our results contribute to a better understanding of microbial mechanisms of carbon cycling during meadow degradation and artificial restoration.

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    Dynamic analysis of interspecific association in a valley monsoonal rainforest community in northern tropical region.
    HE Qiaoping, LUO Yinghua, JIANG Dongdong, LING Yaming
    Chinese Journal of Ecology    2024, 43 (11): 3233-3239.   DOI: 10.13292/j.1000-4890.202411.014
    Abstract194)      PDF(pc) (1536KB)(157)       Save
    The study of changes in inter-species relationships would help reveal plant community succession and provide a basis for the mechanistic understanding of the ecological stability of communities and biodiversity maintenance. In 2015, a 1 hm2 forest monitoring plot was established in the core distribution area of Hopea chinensis, a key species in the northern tropical valley monsoon rainforest of Shiwandashan, Guangxi. We assessed the changes of interspecific relationships of 22 major species in the community by comparing the data in 2015 and a reassessment in 2020, using the variance ratio (VR), Pearson correlation coefficient and Spearman rank correlation analysis. Results showed that: (1) The VR value of this community was 1.09 in 2015 and 0.98 in 2020. There was a significant VR deviation from 1 (with ω=108.75 and 97.78 in 2015 and 2020, respectively), both falling within the interval of \[77.93, 124.34\]. The overall interspecific associations were not significant. (2) Pearson correlation coefficient analysis showed that there were 28 species pairs with significant positive associations and 14 species pairs with significant negative associations in 2015. There were 35 species pairs with significant positive associations and 18 species pairs with significant negative associations in 2020. Spearman rank correlation analysis showed that there were 26 species pairs with significant positive associations and 19 species pairs with significant negative associations in 2015. The species pairs with significant positive associations in 2020 increased to 31 while those with negative associations remained similar (18 species pairs). (3) The correlation between Hopea chinensis and other species became stronger, with no change in significant positive association species pairs, and decreases in significant negative association species pairs. The ecological dominance of Hopea chinensis increased. In conclusion, the significant positive associations among species were enhanced with time. The associations among major species were complicated, but the changes within the 5-year period showed stability in the positive associations among major species, indicating that the community was in a positive stage of dynamic succession.

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    Matching supply and demand of ecosystem services in Qilian Mountain National Park.
    CHEN Hong, DENG Xiaohong, LI Zongxing, XUE Jian
    Chinese Journal of Ecology    2024, 43 (6): 1901-1909.   DOI: 10.13292/j.1000-4890.202406.046
    Abstract193)      PDF(pc) (1594KB)(88)       Save
    Analyzing the supply and demand of ecosystem services is crucial for integrated ecosystem management and achieving regional sustainable development. Using the InVEST model, we quantified the supply and demand of seven ecosystem services of Qilian Mountain National Park, including food provision, water conservation, soil conservation, carbon sequestration, climate regulation, habitat quality, and recreation and leisure. We further analyzed the supply and demand characteristics and spatial matching patterns by combining with the supply-demand ratio and the local Moran’s index. The results showed that the overall supply-demand ratio for Qilian Mountain National Park was 0.0608. Except for carbon sequestration and recreation and leisure services, the supply of the other five services exceeds demand. However, there were significant spatial variations across regions and services. The spatial matching between supply and demand could be categorized into four types, including high-high match, low-low match, low-high mismatch, and high-low mismatch. Tianzhu County and Sunan County were classified into the low supply-high demand category, while Shandan County, Minle County, and Liangzhou District were classified as high supply-low demand areas. High-low spatial mismatch areas within the Qilian Mountain National Park should be protected and the management level should be improved, while the low-high spatial mismatch areas should be comprehensively improved to enhance land-use efficiency.

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    Advances in research on smoke-promoted seed germination.
    XU Hongli, TIAN Liang, YANG Xiaofei, NIE Qiang, CAO Dechang
    Chinese Journal of Ecology    2024, 43 (7): 1941-1950.   DOI: 10.13292/j.1000-4890.202407.022
    Abstract193)      PDF(pc) (5349KB)(110)       Save
    Fire is an important driver of plant regeneration in global terrestrial ecosystems. Post-fire seed germination is a critical adaptive feature of plants in fire-prone environments. Smoke produced by pyrolysis of plant materials in wildfire contains various active chemical compounds, which can activate soil seed bank via initiating post-fire seed germination. Karrikins produced by cellulose pyrolysis are usually considered as the primary smoke cue that promotes seed germination. Recently, it has been found that lignin-promoted syringaldehyde can also trigger seed germination of post-fire plants. Here, we review the history of research on smoke cues and their ecological relevance to post-fire plant regeneration, and discuss the evolutionary aspects of smoke adaptation of plants. On basis of these discussions, we propose some important scientific questions about smoke-promoted seed germination to get some perspective on future research.

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    Influences of heavy metal contamination on soil fungal communities in a typical coal-based industrial park.
    LIU Di, SU Chao, XIE Rong, LIU Yong
    Chinese Journal of Ecology    2024, 43 (12): 3537-3544.   DOI: 10.13292/j.1000-4890.202412.043
    Abstract188)            Save
    Soil microbial communities can be affected by heavy metal contamination induced by the coal-based industrial activities. We analyzed the differences of soil physicochemical properties, heavy metal concentrations and enzyme activities surrounding different coal-based industrial plants (coal mining industry, coal preparation industry, coal-based chemical industry, coal-fired power industry) in a typical coal-based industrial region in Shanxi Province. Soil samples from farmland and parks away from all the industrial plants were collected as references. We identified the composition of soil fungal communities based on high-throughput sequencing technology. The results showed that the contents of Cr, Ni, Cu, Zn, As, Cd, Pb and Hg were higher than the background values of corresponding elements in soils in Shanxi Province, and that the Cd and Pb contents around the coal preparation plants were the highest. The activities of cellulase and alkaline phosphatase displayed significant differences among different plants, with soil cellulase activity being the highest around the coal-based chemical plant. Ascomycota and Basidiomycota were the dominant fungal phyla with the largest relative abundance. The relative abundance of the dominant fungal phyla was significantly different across different plants. Ascomycota was the predominant fungal phylum surrounding the coal-based chemical plants, with the greatest relative abundance (79.30%). Results of redundancy analysis, variance partitioning analysis and Spearman correlation analysis showed that soil fungal community structure was significantly positively correlated with Cd content, total nitrogen content, and alkaline phosphatase activities (P<0.05), with Cd content having the strongest effect on soil fungal community.

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    Camera-trapping survey on the snow leopards and their sympatric mammals and birds in the Qilian County, Qilian Mountain National Park.
    WANG Dong, WANG Zihan, LI Quanbang, GAO Yayue, SU Xu, LIAN Xinming
    Chinese Journal of Ecology    2024, 43 (6): 1910-1919.   DOI: 10.13292/j.1000-4890.202406.035
    Abstract187)      PDF(pc) (926KB)(87)       Save
    Species inventories are the fundamental basis for biodiversity research and conservation. Long-term monitoring of wildlife diversity and photographic evidence of the species are essential for updating the inventory. The Qilian County sector of Qilian Mountain National Park exhibits distinct variances in natural ecosystems from east to west, providing diverse habitats for wildlife communities. In the present study, a total of 187 infrared cameras were strategically placed at sites with spoors of snow leopard (Panthera uncia) or other sympatric wildlife within 5 km × 5 km grids. From September 2017 to December 2021, 44946 valid camera-days were accumulated, and 14330 independent and valid photographs were captured, including 466 snow leopard photographs. Utilizing this comprehensive dataset, a total of 78 distinct species were identified, including 27 mammalian species from five orders and 12 families, and 51 avian species from seven orders and 18 families. Nine species are designated as first-class protected species under China’s conservation legislation, while 20 are categorized as second-class protected species. Furthermore, 40 of the identified species were listed in the catalog of species with significant ecological, scientific, and societal value. In accordance with the International Union for Conservation of Nature (IUCN) Red List assessments, one species is classified as endangered (EN), three as vulnerable (VU), and five as near threatened (NT). Similarly, China’s Vertebrate Red List identified three critically endangered (CR) species, five endangered species, several vulnerable, and 17 near threatened species. Relative abundance index (RAI) analysis demonstrated that the most prevalent mammalian species in this region were blue sheep (Pseudois nayaur, RAI=128.18), Himalayan marmot (Marmota himalayana, RAI=50.17), red fox (Vulpes vulpes, RAI=11.30), woolly hare (Lepus oiostolus, RAI=10.72), and snow leopard (RAI=10.37). For avian fauna, the top-ranking species based on RAIs were black redstart (Phoenicurus ochruros, RAI=8.30), Tibetan snowfinch (Tetraogallus tibetanus, RAI=5.18), red-billed chough (Pyrrhocorax pyrrhocorax, RAI=3.87), rufous-necked snowfinch (Pyrgilauda ruficollis, RAI=4.32), and common magpie (Pica pica, RAI=3.65). We recorded three newly distributed species in the Qilian Mountains, including stoliczka’s mountain vole (Alticola stoliczkanus), Tibetan snowfinch (Montifringilla henrici) and Pallas’s leaf warbler (phylloscopus proregulus). Additionally, infrared cameras frequently captured evidence of livestock and human activities in the area (RAI=56.09).  These findings provide data support for both regional biodiversity inventories and effective wildlife protection strategies within the Qilian Mountain National Park.

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    Reproductive strategies of psammophytes in semi-arid areas.
    LIU Zhimin
    Chinese Journal of Ecology    2024, 43 (7): 1937-1940.   DOI: 10.13292/j.1000-4890.202407.021
    Abstract186)      PDF(pc) (368KB)(162)       Save
    The dune ecosystem is strongly disturbed by sand burial and wind erosion. Although it is well established that plants are more adaptive to disturbance through reproductive strategies, little is known about the reproductive strategies of psammophytes to adapt to disturbance of aeolian sand. In view of this, I examined reproductive strategies of typical psammophytes, Agriophylum squarrosum, Artemisia wudanica, Phragmites communis and Salix gordejevii, in the semi-arid Horqin Sandy Land. Through a systematic study, I found 2 reproductive mechanisms to raise seed availability (resistance to long-distance dispersal and continuous supply of diaspores), 2 reproductive mechanisms by using clonal reproduction to adapt active sand (defense type and migratory type), 4 reproductive mechanisms to deal with wind erosion (mechanism of sexual reproduction in moving sand dunes, mechanism of sexual reproduction in interdune lowland, sexual and asexual reproduction mechanisms in sand dunes, and mechanism of asexual reproduction in interdune lowland), and 4 mutual feedback mechanisms between reproductive patterns and aeolian sand activities (wind erosion and sand burial promote sexual reproduction of dune plants, wind erosion and sand burial promote sexual reproduction of lowland plants in the interdune, wind erosion and sand burial promote vegetative reproduction of dune plants, and wind erosion and sand burial adjust vegetative reproduction of lowland plants). This paper is a conceptualized and summarized report of reproductive strategies of psammophytes.

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    Prediction of suitable area of Camellia reticulata under climate change based on the Biomod2 ensemble model.
    GAO Can, FAN Zhifeng, MA Changle, YANG Jianxin, GUO Shuailong
    Chinese Journal of Ecology    2024, 43 (11): 3526-3536.   DOI: 10.13292/j.1000-4890.202411.020
    Abstract185)      PDF(pc) (4905KB)(75)       Save
    Camellia reticulata, a valuable wild winter flower plant species in Yunnan, has been listed as class Ⅱ national key protected wild species in China. C. reticulata has not been fully utilized in landscape applications due to its strict requirements for natural habitats. Climate change affects the distribution of plant species. Understanding the response of C. reticulata to climate change is the basis for its conservation, development and utilization. The distribution dynamics of C. reticulata from the Last Glacial Maximum to the end of this century was simulated with an optimal ensemble model (EM) in the Biomod2 package, based on climatic, topographic, soil and vegetational factors. The results showed that the optimal EM which composed of Generalized Boosted Models, Flexible Discriminant Analysis, Random Forest and optimized Maximum Entropy Models had better accuracy and performance compared to the single models, and being more simpler than the EM integrating by all model algorithms. Among the 31 environmental factors, temperature annual range was the main factors affecting the suitable habitat distribution of C. reticulata. Under the current climate scenario, C. reticulata is mainly distributed in the southwest China, south China and Taiwan, of which the highly suitable distribution region including most areas of Yunnan, southwestern Guizhou and northwestern Guangxi. Southern Cuona of Xizang, southeastern Fujian and southwestern Hainan also have scattered distribution of C. reticulata. Central region of Yunnan might be refugia site for C. reticulata in glacial age. With the warming climate, the suitable habitat of C. reticulata continues to spread to the surrounding four provinces. Future climate change would not cause large-scale migration or extinction of C. reticulata. Yunnan and its bordering provinces Xizang, Sichuan, Guizhou and Guangxi have always been stable and suitable areas for C. reticulata. The results indicated that global warming is conducive to the survival and reproduction of C. reticulata, and the suitable areas will spread northward. In the future, regions that are mainly considered suitable for introduction, domestication and gardening applications of C. reticulata would include northern Yunnan, southern Cuona city, southern Sichuan, southern Guizhou and coastal areas of Fujian.

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