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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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    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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    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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    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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    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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    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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    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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    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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    Plant community composition and structure of the nascent wetlands of the Yellow River Estuary.
    ZOU Yuhan, LI Xue, ZHANG Xin, LING Yue, YU Junbao, LI Yunzhao, WANG Xuehong, YANG Jisong, GUAN Bo, MA Yuanqing, SONG Xiukai
    Chinese Journal of Ecology    2024, 43 (11): 3240-3245.   DOI: 10.13292/j.1000-4890.202411.030
    Abstract166)      PDF(pc) (875KB)(147)       Save
    The species identity, composition, distribution, and evolution of plant community can reflect the development direction of wetland ecosystem, and affect the proper functioning of main ecological functions. To investigate plant community structure, a transect with a width of about 500 m perpendicular to the community transition zone was established in the Yellow River Estuary in 2021. The results showed that there were 15 species of higher plants which belonged to 11 families and 15 genera. The plant communities with strip distribution from the river to the sea could be divided into seven types. Spartina alterniflora dominated the vegetation. Species composition of the vegetation was relatively simple, mainly composed of herbaceous species. The Shannon diversity index increased first and then decreased along the river to the sea direction. In the past 10 years, plant community of wetlands in the Yellow River Estuary had shown dramatic changes. The species number of plant community declined, the top two species in terms of importance value changed considerably, and the established species of some communities gradually disappeared or were replaced by new species. This study highlights the rapid evolution of plant community, providing scientific reference for biodiversity conservation and ecological management of newborn wetlands in the Yellow River Estuary.

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    Effect of combined application of chemical and organic fertilizers on the contribution of bacterial and fungal N2O emissions.
    ZHOU Ning, SHANG Wending, LI Huawei, WANG Hao, CHE Zhao, LI Xiaoxiao, SONG He
    Chinese Journal of Ecology    2024, 43 (12): 3545-3552.   DOI: 10.13292/j.1000-4890.202412.042
    Abstract119)      PDF(pc) (1822KB)(140)       Save
    To investigate the effects of fertilizer types (organic and chemical fertilizer) on nitrous oxide (N2O) emissions from soil bacteria and fungi, we conducted a long-term experiment with four treatments, including no fertilization (CK), chemical fertilizer (T1), combined application of chemical and organic fertilizers (T2), and organic fertilizer (T3). We measured soil physical and chemical properties, and the contributions of N2O emissions from bacteria and fungi. The abundance and structure of bacterial and fungal communities were analyzed by real-time PCR and high-throughput sequencing. The results showed that, compared with T1, T3 significantly increased N2O emissions from bacteria by 31.34% and decreased N2O emissions from fungi by 17.11%, while T2 significantly increased overall N2O emissions by 57.83%, increased N2O emissions from bacteria by 47.83%, and from fungi by 72.37%. The results of PLS-SEM modeling showed that N2O emission from bacteria was mainly affected by bacterial community structure rather than their abundance, and by soil pH and electrical conductivity as well. The N2O emission from fungi was mainly affected by fungal community structure. The proportion of relative abundance of Ascomycota and Basidiomycota was the key to influence the N2O emission from fungi. Our results highlight that it is necessary to consider not only the characteristics of fertilizer, but also the effects of physicochemical properties such as soil pH and electrical conductivity when studying the effects of fertilizer type on N2O emissions from bacteria and fungi.

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    Research progress in plant and soil microbial diversity in forest-grassland ecotone.
    HAN Jiaxin, WANG Ruzhen, ZHANG Yuge, JIANG Yong
    Chinese Journal of Ecology    2024, 43 (9): 2574-2586.   DOI: 10.13292/j.1000-4890.202409.031
    Abstract179)      PDF(pc) (1103KB)(138)       Save
    Forest-grassland ecotone is a cline of plant communities between forest and grassland. This ecotone is characterized by diverse landscape types, strong environmental heterogeneity, and evident edge effects. Forest-grassland ecotone is sensitive to global climate change, and serves as critical zones of biodiversity conservation. Because of its special habitat, above and belowground biodiversity and ecological linkages of the forest-grassland ecotone is far more complicated than other ecosystems, such as forests, grasslands and farmlands. Here, we reviewed the effects of topographic factors, nutrient cycling of ecosystems, global changes, and anthropogenic disturbances on plant diversity in forest-grassland ecotone. We also discussed the effects of land use types, nitrogen deposition, atmospheric CO2 enrichment, litterfall, soil organic matter content, and soil depth on soil microbial diversity. Future studies should focus on research approaches that combine manipulative experiments of local scale with observations crossing environmental gradients, so as to reveal the geographical pattern and ecological mechanism of biodiversity formation in forest-grassland ecotone. Specifically, this includes how biodiversity responds to soil acidification, fire, litter composition, enclosure and grazing, and interactions of multi-factors as well as ecological linkages between above- and belowground biodiversity and degraded habitat restoration and vegetation recovery. This would provide theoretical guidance and data reference for land use and biodiversity conservation in the forest-grassland ecotone.

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    Research progress on effects of climate warming on soil organic carbon pools in frigid grasslands and its mechanisms.
    LYU Wangwang, SUN Jianping, LYU Jingya, CHEN Lanying, LIU Shizhang, WU Jing, WANG Shiping
    Chinese Journal of Ecology    2024, 43 (6): 1604-1611.   DOI: 10.13292/j.1000-4890.202406.005
    Abstract184)      PDF(pc) (516KB)(132)       Save
    Global frozen regions include seasonally frozen and permafrost regions, which are mainly distributed in the high altitude and high latitude regions, and store substantial organic carbon in soils. The region is facing a higher rate of warming than global average level. Much attention has been focused on the effects of climate warming on soil organic carbon in the region and its feedback to climate warming. Here, we reviewed the effects of climate warming on the key processes of carbon cycling (e.g., plant production, decomposition of leaf and root litter, microbial community structure, etc.), as well as the formation and stability mechanisms of soil organic carbon in grasslands in the seasonally frozen and permafrost regions. We put forward scientific questions and analyzed the trends about experimental design and new technology application in the future to promote the research of key processes of carbon cycling and stability mechanism of soil organic carbon pool in the alpine grassland ecosystems under climate warming.

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    Diversity and spatial distribution pattern of woody lianas in Saraca dives community in Nonggang Nature Reserve, Guangxi
    LU Fang, WANG Bin, LI Jianxing, LI Dongxing, LIU Shengyuan, GUO Yili, WEN Shujun, HUANG Fuzhao, XIANG Wusheng, LI Xiankun
    Chinese Journal of Ecology    2024, 43 (10): 2932-2944.   DOI: 10.13292/j.1000-4890.202410.026
    Abstract148)      PDF(pc) (3883KB)(131)       Save
    Lianas constitute a crucial component of biodiversity in tropical forests, yet the extent of their diversity and spatial distribution patterns in the north tropical karst forest remains poorly understood. In this study, we investigated the diversity and spatial distribution patterns of lianas within a typical Saraca dives community in the northern tropical karst seasonal rainforest of Nonggang, Guangxi. We elucidated the diversity distribution patterns of lianas and explored the disparities in spatial distribution patterns among distinct taxonomic groups based on 100 quadrats, each measuring 10 m×10 m in a 1 hm2 plot. We found that: (1) In the 1 hm2 Saraca dives community, 52 species of woody lianas were identified, belonging to 25 families and 43 genera. They represented 55.32% of the total woody species. Furthermore, the Simpson index for lianas was 0.909, the Shannon index was 2.842, and the Pielou evenness index was 0.723. These indices collectively indicate a relatively high level of diversity within the community. There was clear presence of dominant and endemic species. Fabaceae and Vitaceae families stood out for their remarkable species richness and abundance, respectively. Tetrastigma planicaule was the dominant species, with the highest importance value. Furthermore, endemic species constituted 34.61% of the total species number. (2) Lianas demonstrated an aggregated distribution within the spatial scale ranging from 0 to 25 m. Upon removing habitat heterogeneity via the heterogeneous Poisson null model, lianas tended towards a random distribution pattern as the spatial scale increased. When habitat heterogeneity was eliminated, over 70% of liana species exhibited varying patterns of random distribution across specific spatial scales. However, at finer scales, these species still exhibited aggregated distributions. These findings suggest that both habitat heterogeneity and dispersal limitations may influence the spatial distribution patterns of lianas. The observations suggest that both habitat heterogeneity and dispersal limitations may influence the spatial patterns of lianas. Furthermore, there was a negative correlation between the aggregation of lianas and their abundance, as well as their average and maximum diameters at breast height. Notably, lianas with a climbing efficiency of 2 (stem twining) exhibited a higher degree of aggregation. The community of Saraca dives exhibited remarkable diversity in lianas, served as a crucial component of the community. Additionally, the spatial distribution pattern of lianas was not solely related to habitat heterogeneity, but was also influenced, to some extent, by intrinsic attributes such as climbing efficiency and mode. This study lays a crucial foundation for examining the maintenance mechanisms of species diversity in typical forest communities, as well as assessing the impact of lianas on forest carbon storage and dynamic processes.

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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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    Dynamics of understory plant diversity and biomass of Pinus sylvestris var. mongolica plantations with different ages in Mu Us Sandy Land.
    HU Ercha, WANG Zheng, LI Zihao, YANG Haifeng, LI Zhuofan, WANG Xiaojiang, GAO Runhong
    Chinese Journal of Ecology    2024, 43 (11): 3246-3254.   DOI: 10.13292/j.1000-4890.202411.018
    Abstract172)      PDF(pc) (2464KB)(117)       Save
    Understanding the dynamics of understory plant diversity and biomass in plantations is of great significance for assessing the effectiveness of sandy vegetation restoration and plantation management. We analyzed the characteristics of understory communities in Pinus sylvestris var. mongolica plantations with different stand ages (Ⅰ: ≤10 a, Ⅱ: 10 a<age≤15 a, Ⅲ: 15 a<age≤20 a, Ⅳ: age>20 a) in Mu Us Sandy Land. The impact of stand factors on understory plant communities was analyzed using structural equation modeling path analysis. A total of 57 species from 47 genera and 20 families were recorded, including 3 shrub species. Asteraceae, Gramineae, Leguminosae and Chenopodiaceae dominated herbaceous layer, accounting for 50% of the total herbaceous species. With increasing stand age, the number of families, genera and species of herbaceous layer decreased first and then increased. With increasing stand age, the perennial herbaceous plants increased, the annual and biennial plants decreased relatively, the xerophytes decreased, and the mesophytes increased. The Shannon diversity index, Simpson dominance index and Margalef richness index of herbaceous layer decreased first and then increased with increasing stand age, and the Pielou evenness index increased with increasing stand age, but there was no significant difference among different stand age classes (P>0.05). There was a negative relationship between tree layer coverage and shrub layer coverage and biomass, and a positive relationship between tree layer coverage, shrub layer coverage and understory herb layer coverage, aboveground biomass, species richness and Shannon diversity index. There was a negative correlation between aboveground biomass of shrub layer and herb coverage, aboveground biomass, species richness and Shannon diversity index. In summary, the vegetation restoration model of Pinus sylvestris var. mongolica plantation in Mu Us Sandy Land is conducive to the restoration of understory herbaceous plants. Trees and shrubs should be rationally allocated in the future restoration of sandy vegetation to improve species diversity and community stability.

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    Spatial distribution pattern of carbon density and its influencing factors of Cunninghamia lanceolata plantations in central Jiangxi.
    HU Rongrong, GUO Yang, OUYANG Xunzhi, LIU Jun, PAN Ping
    Chinese Journal of Ecology    2025, 44 (2): 365-372.   DOI: 10.13292/j.1000-4890.202502.024
    Abstract141)      PDF(pc) (3107KB)(113)       Save
    Analyzing the spatial distribution pattern of forest carbon density and exploring the influencing factors can provide a scientific basis for the management of forest carbon sink. Based on forest resources inventory data in 2019, the spatial distribution of carbon density of Cunninghamia lanceolata plantations in Ji’an City of Jiangxi Province was analyzed by geostatistical method, and the influence of site, stand and meteorological factors on carbon density was quantified by structural equation model. The results showed that carbon density of Cunninghamia lanceolata plantations had significant positive spatial autocorrelation. The linear model was the best fitting semivariogram model for carbon density, with the ratio of nugget to sill being 0.81. The carbon density was mainly concentrated in the range of 20.91-51.97 t·hm-2. The spatial distribution of carbon density was generally higher in the northern and middle region and lower in the southern region, which was not consistent with the geomorphologic characteristics of the study area. The main factors affecting carbon density were average diameter at breast height (DBH), stand density, canopy density, stand age, mean tree height, slope gradient and annual average relative humidity, with their total impact coefficients being 0.650, 0.365, 0.110, 0.090, 0.080, -0.014 and -0.036, respectively. Among them, the average DBH had the greatest direct impact on carbon density, followed by stand density. Stand age, canopy density, annual average relative humidity, and slope gradient had indirect effects on carbon density mainly by affecting the mean height of trees. Carbon density of Cunninghamia lanceolata plantations was most affected by stand factors, followed by site factors, and least affected by the meteorological factors.

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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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    The spatiotemporal pattern and prediction model of NDVI in Qiangtang grassland based on random forest algorithm.
    LI Cailin, SONG Yantao, ZHANG Jing, WU Yunna, SUN Lei
    Chinese Journal of Ecology    2024, 43 (6): 1664-1673.   DOI: 10.13292/j.1000-4890.202406.037
    Abstract162)      PDF(pc) (3169KB)(108)       Save
    This study aimed to reveal the spatiotemporal variations and the influencing factors of vegetation in the Qiangtang grassland during 2001-2020, and to predict the change trends of vegetation under climate change scenarios. Based on the data of MODIS NDVI, temperature, precipitation, and wind speed, we explored the relationship between vegetation changes and meteorological factors. Furthermore, NDVI prediction models were establish with three machine learning algorithms of random forest, support vector machine, and random gradient descent regression. The optimal model with the best simulation accuracy was selected to simulate vegetation changes under multiple scenarios. We found that NDVI of the Qiangtang grassland showed a slight increasing trend with a growth rate of 0.0003 a-1 from 2001 to 2020. The response of NDVI to temperature lagged by 3 months, precipitation lagged by 0-1 months. NDVI was negatively correlated with wind speed without lag. The random forest algorithm had the highest simulation accuracy (Adjusted R2=0.958). The scenario for improvement of vegetation coverage in the future included 1.0 ℃ increase in temperature, 25% increase in precipitation, and 25% decrease in wind speed. This study contributed to early warning of vegetation degradation, which would help vegetation conservation under climate change.

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    Effect of plant functional traits on soil organic matter accumulation in forests: A review.
    ZHANG Qian, YANG Kai, ZHOU Changjian, ZHANG Jinxin, SU Yingjia, GAO Tian, LU Deliang
    Chinese Journal of Ecology    2024, 43 (9): 2566-2573.   DOI: 10.13292/j.1000-4890.202409.027
    Abstract178)      PDF(pc) (937KB)(107)       Save
    Plant functional traits are the individual characteristics and attributes shown by plants to adapt to environment, which affect the survival, growth, and reproduction of plants, and soil ecological functions as well. Here, we summarized literature on the relationships between plant functional traits and soil organic matter from three aspects. Firstly, we analyzed the classification of plant functional traits and clarified the relationship between plant functional traits and soil fertility. Secondly, we clarified the effects of plant functional traits on soil organic matter accumulation. The direction and magnitude of such effects were influenced by soil nitrogen and phosphorus cycling and soil carbon saturation status. We discussed the relationships between plant functional traits and soil organic matter stability and long-term soil organic matter accumulation. Thirdly, we elucidated the mechanisms of plant functional traits influencing forest soil organic matter by means of leaf litter, fine root decomposition and soil microbial community structure and function. Then, we proposed two key issues of the future research focusing on plant functional traits and soil organic matter: (1) to understand the processes and mechanisms that plant-microbial interactions influence plant functional traits and soil organic matter accumulation via advanced technology and methods; (2) to clarify the ecological processes and mechanisms driving the impacts of plant functional traits on soil organic matter accumulation under the background of global change.

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