Top Read Articles

Published in last 1 year |  In last 2 years |  In last 3 years |  All

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Research progress on net carbon sequestration capacity of plants under the background of carbon neutra-lization. YANG Qianmin, YUAN Danping, DENG Cunbao, WANG Yansheng, QIAO Ling Chinese Journal of Ecology    2023, 42 (6): 1484-1496.   DOI: 10.13292/j.1000-4890.202306.015 Abstract （725）      PDF（pc） （1296KB）（849）       Knowledge map    Save Plants play a key role in regulating the balance of atmospheric CO2 concentrations, improving carbon sequestration capacity and ecosystem carbon stocks, and contributing to the mitigation of global warming. It is therefore of great significance to further understand the factors affecting the net carbon sequestration capacity of plants in order to achieve the targets of carbon peak and carbon neutralization in China. We summarized the recent progresses in carbon fixation pathways in photosynthesis, carbon release processes through litter decomposition, and factors (CO2 concentration, temperature, water content, litter addition and removal) affecting carbon sequestration and carbon release through CO2 and CH4 emissions. The results showed that there was a threshold for the promotion of water, temperature, and CO2 concentration on plant carbon sequestration and the promotion of water and temperature on the CO2 emission from litter decomposition. When the threshold exceeds a certain range, an inhibitory effect exists on the aforementioned process. Litter removal is beneficial to reducing CO2 emission, but the response of CH4 emission through litter decomposition to the above environmental factors has been inconclusive. We propose to strengthen studies on the carbon sequestration ability of plants in different stages of life cycles by the combined action of multiple environmental factors; and on carbon emission mechanisms of tree residues, belowground litter, root exudates, and their responses to environmental factors, which will provide a reference for improving plant carbon sequestration and carbon neutrality. Related Articles | Metrics | Comments（0）

Select

Effects of availability and form of exogenous nitrogen on plant growth and physiology: Progress and prospects. ZHANG Qinze, HAO Guang, LI Hongyuan Chinese Journal of Ecology    2024, 43 (3): 878-887.   DOI: 10.13292/j.1000-4890.202403.030 Abstract （547）      PDF（pc） （1432KB）（371）       Knowledge map    Save Nitrogen (N) is one of the most important nutrient elements controlling plant structure and function and maintaining ecosystem stability. The differences in exogenous N availability and form have significant effect on plant growth and physiological traits. Due to global climate change and intensified human activities, the mobility and deposition of N into terrestrial ecosystems increase rapidly and the form of N deposition is also changing, which seriously damages the normal growth of plants and the balance and stability of ecosystem, and has become a hot topic. We summarized the effects of different N addition levels and forms on plant growth, photosynthesis, nutrient absorption, and metabolic enzyme activity. We concluded that: (1) proper N input could promote plant growth, photosynthesis, and nutrient absorption capacity, but has inhibiting effect on plants once exceeding the threshold of plant tolerance; (2) due to the difference in plant preference for N form absorption, the effects of ammonium or nitrate N on plant growth, photosynthesis, nutrient absorption, and metabolic enzyme activity are different, and the appropriate ratio of ammonium and nitrate N has a more significant promotion effect on most plants than the addition of a single N form. Four important research directions should be considered in future: (1) carrying out large scale longterm positioning observation of manipulative experiments; (2) exploring the microscopic mechanism of N form affecting plants using molecular biology techniques; (3) focusing on the effect of soil rhizosphere environment on root N uptake; (4) comprehensively analyzing the interaction between N addition and other environmental factors and accurately assessing typical plant population dynamics and community structure changes. Our study provides theoretical reference for exploring the mechanism of plant growth and physiology and enabling sustainability of plant production systems under exogenous N addition. Related Articles | Metrics | Comments（0）

Select

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 Abstract （470）      PDF（pc） （1745KB）（274）       Knowledge map    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. Related Articles | Metrics | Comments（0）

Select

Application of machine learning technology in ecology. LI Huijie, WANG Bing, NIU Xiang, LIANG Yongliang, LI Jingyao Chinese Journal of Ecology    2023, 42 (11): 2767-2775.   DOI: 10.13292/j.1000-4890.202311.009 Abstract （463）      PDF（pc） （854KB）（625）       Knowledge map    Save With the gradual deepening of ecological research, ecology has entered the era of big data. As one of the core technologies of artificial intelligence, machine learning has been widely used to efficiently process ecological big data. We systematically summarized and analyzed the relevant research and the application of machine learning in recent years. The applications of machine learning in hydrology, soil, meteorology and climate, vegetation and other factors were analyzed with examples, which were involved in many research fields, including hydrological cycle, carbon cycle, meteorological prediction, climate change, species distribution, health assessment, landscape ecology, and resource management. Finally, its future trend was prospected based on the analysis of the problems of machine learning technology in ecological research. In general, random forest and neural network are the most commonly used machine learning methods in ecological research due to their characteristics. Integrating multiple machine learning algorithms, or integrating machine learning with traditional statistical methods and ecological models, is the best solution for future machine-learning-based ecological research. Related Articles | Metrics | Comments（0）

Select

Review on the pathways of soil nitrous oxide production and its research methods. HE Meixia, DUAN Pengpeng, LI Dejun Chinese Journal of Ecology    2023, 42 (6): 1497-1508.   DOI: 10.13292/j.1000-4890.202306.001 Abstract （448）      PDF（pc） （1548KB）（505）       Knowledge map    Save Nitrous oxide (N2O) is a greenhouse gas in the troposphere and contributes to ozone depletion in the stratosphere. Soil N2O production involves biotic (autotrophic nitrification, heterotrophic nitrification, nitrifier denitrification, nitrification-coupled denitrification, heterotrophic denitrification, codenitrification, dissimilatory nitrate reduction to ammonium) and abiotic pathways. A couple of N2O production pathways may occur simultaneously, it is thus difficult to quantify the contribution of a single pathway to N2O production. However, quantifying the contribution of individual pathways to total N2O production is necessary to mitigate soil N2O emission, or to simulate soil N2O production and its responses to global change using Earth system models. Some methods have been developed to decipher N2O production pathways, including molecular methods, inhibition techniques, and stable isotope methods. Here, we review current status of soil N2O production pathways and their research methods. We pointed out the advantages and disadvantages of each method and the knowledge gaps. The information is useful for researchers to carry out relevant researches, or can help understand the major sources of soil N2O emission and thus make effective measures to mitigate soil N2O emission. Related Articles | Metrics | Comments（0）

Select

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 Abstract （433）      PDF（pc） （1028KB）（203）       Knowledge map    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. Related Articles | Metrics | Comments（0）

Select

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 Abstract （349）      PDF（pc） （4834KB）（356）       Knowledge map    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. Related Articles | Metrics | Comments（0）

Select

Research progress on the valuation of forest ecosystem services in China during 2010 to 2021. YANG Haijiang, GOU Xiaohua, TANG Chengrui, XUE Bing Chinese Journal of Ecology    2024, 43 (1): 244-253.   DOI: 10.13292/j.1000-4890.202401.026 Abstract （326）      PDF（pc） （5130KB）（137）       Knowledge map    Save Evaluating the service functions of forest ecosystems is conducive to realizing the capitalization of forest resources and optimizing the protection and management of forest resources. In this study, we reviewed the research progress on the evaluation of the service function value of forest ecosystems in China during 2010 to 2021. There were significant differences in the value of various service functions of forest ecosystems in China. Among them, the largest was water conservation, followed by soil conservation, carbon sequestration and oxygen release, biodiversity conservation, air purification, forest recreation, forest product supply, forest protection, and nutrient retention. The service functions of mountain and urban forest ecosystems were highly heterogeneous. The main contributions of mountain forests were water conservation (36.94%), soil conservation (18.68%), biodiversity conservation (17.67%), and carbon sequestration and oxygen release (12.44%), while the main contributions of urban forests were carbon sequestration and oxygen release (29.37%), water conservation (22.49%), air purification (16.93%), and soil conservation (11.68%). Broadleaved evergreen forests had the highest values of ecosystem services, followed by deciduous broadleaved forests, mixed coniferous forests, and coniferous forests. In the past decade, although the evaluation method of forest ecosystem service value had been greatly enriched, there was still much room for improvement, especially in establishing indicator system. To provide a scientific foundation for the sustainable development of ecosystems and ecological environment construction, we must further optimize measurement methods and technical means, improve data acquisition capability, and strengthen the integrity and scientific nature of ecosystem service function assessment, which lays a foundation for the research on the realization path of ecosystem service value. Related Articles | Metrics | Comments（0）

Select

Source, quantification, and application of intraspecific variation of plant functional traits. CHEN Shiren, ZANG Lipeng, WU Yuhang, YANG Zeyu, ZHANG Guangqi, LIU Qingfu, CHEN Danmei, ZHANG Shuzi, SUI Mingzhen Chinese Journal of Ecology    2024, 43 (5): 1442-1452.   DOI: 10.13292/j.1000-4890.202405.025 Abstract （310）      PDF（pc） （2088KB）（148）       Knowledge map    Save Plants develop adaptive traits that vary at multiple scales. Traditional ecology focused mainly on interspecific variations. However, recent researches demonstrate that the degree of intraspecific variations cannot be ignored. Ignoring the intraspecific variations can result in low confidence in quantifying community assembly, ecological strategies, and niche space. By reviewing literature on intraspecific variations of plant functional traits, we identified that these variations primarily arise from genetic diversity, phenotypic plasticity, local rapid adaptation, and ontogenetic differences. The commonly used statistical approaches in the context include traitgradient analysis, coefficient of variation, variance decomposition, T statistics, and plant functional diversity. This study provides a comprehensive overview of research development of intraspecific variations in plant functional traits and the prevailing statistical methods. Additionally, we evaluated the aforementioned methods and discussed their applications and future advancements in the research of community assembly and other areas of community ecology. Related Articles | Metrics | Comments（0）

Select

Effects of mass bleaching events on coral reef ecosystems. MA Jing, YU Kefu Chinese Journal of Ecology    2023, 42 (9): 2227-2240.   DOI: 10.13292/j.1000-4890.202309.023 Abstract （276）      PDF（pc） （718KB）（153）       Knowledge map    Save Coral bleaching induced by global warming has greatly affected coral reef ecosystems. In the past three decades, there have been three mass bleaching events with a complex chain-regime shift among coral, macroalgae, and fish communities. Global bleaching events have important effects on coral reef ecosystem. For instance, population structure of coral community could shift to smaller and younger colony groups with dominant taxa changes. The coral-algal phase shifts from coral to macroalgae dominance, with Lobophora and Sargassum as dominants. Fish community declines with a lag in total abundance and richness, with increased abundance of some herbivorous fishes, decreased corallivores generally, but almost no change in cryptobenthic fishes. Coral reefs are predicted for several possible futures. First, coral would migrate to deeper and higher-latitude waters. Second, thermal resistant populations could serve as germplasm reservoirs, such as ‘super coral’ in the northern Red Sea. Third, the thermal adaptability of coral might effectively resist the negative impacts of ocean warming and realize the in-situ ecological restoration of coral community. Research in China has mostly focused on the thermal adaptability of coral and the ecological relationship between coral and its symbiotic zooxanthellae. More attention should be paid to coordinated ecological changes between corals, fish and macroalgae, so as to provide scientific basis for the protection and development of coral reefs. Related Articles | Metrics | Comments（0）

Select

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 Abstract （262）      PDF（pc） （589KB）（90）       Knowledge map    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. Related Articles | Metrics | Comments（0）

Select

Distribution characteristics and influencing factors of soil bulk density at different soil layers in typical small watershed in loess region of western Shanxi Province. WANG Simin, ZHANG Hongli, ZHANG Hengshuo, ZUO Qilin, ZHA Tonggang Chinese Journal of Ecology    2024, 43 (3): 609-615.   DOI: 10.13292/j.1000-4890.202403.039 Abstract （260）      PDF（pc） （1240KB）（291）       Knowledge map    Save To understand the distribution characteristics and influencing factors of soil bulk density across different soil layers in the loess region, we measured soil bulk density at 0-20, 20-40, 40-60, 60-80, and 80-100 cm layers in 98 locations in Caijiachuan watershed in the loess region of western Shanxi. We analyzed the distribution characteristics, the main influencing factors of each soil layer and their contribution rates to soil bulk density by using classical statistics and geostatistics methods. The results showed that: (1) Soil bulk density ranged from 0.79-1.78 g·cm-3, and increased with increasing soil depth in the 0-100 cm depth. The variation of soil bulk density decreased with increasing soil depth. (2) Gaussian model was the best fitting model for soil bulk density at 0-40 cm layer, while exponential model was the best fitting model at 40-100 cm layer. The spatial dependence of soil bulk density decreased with increasing soil depth, showing strong, moderate and weak spatial dependence at 0-20, 20-60 and 60-100 cm layers, respectively. (3) Soil bulk density at 0-40 cm layer was mainly affected by vegetation and soil factors, while that at 40-100 cm soil layer was mainly affected by elevation and soil factors, suggesting that the effects of vegetation restoration on soil bulk density were mainly concentrated in the surface layer. Our results provide important reference for in-depth understanding of regional soil bulk density distribution under the vegetation restoration and scientific assessment of regional ecological benefits and ecological services of vegetation restoration. Related Articles | Metrics | Comments（0）

Select

Interaction effect and mechanism between microorganisms in earthworm intestine and pollutants in soil. FU Furong, SUN Yang, ZHAO Lixia, LI Xiaojing, WENG Liping, LI Yongtao Chinese Journal of Ecology    2024, 43 (4): 1170-1182.   DOI: 10.13292/j.1000-4890.202404.034 Abstract （259）      PDF（pc） （664KB）（199）       Knowledge map    Save Earthworm intestinal microorganisms play key roles in achieving ecological functions of earthworms, such as nitrogen fixing and phosphorus solubilizing, plant growth promoting, soil pollution indicating, pollutants degrading. Increasing human activities have resulted in accumulation of various pollutants in soils, including exogenous heavy metals, antibiotics, pesticides, and microplastics. These pollutants enter the intestinal tract and interact with microorganisms after being ingested by earthworms. On the one hand, soil pollutants affect the composition and activity of intestinal community in earthworms by changing soil environment and earthworms’ intestine. On the other hand, intestinal microorganisms in earthworms can eliminate soil pollutants through microbial degradation, biological enrichment, adsorption, and transformation. We reviewed the interaction effect and response mechanism between intestinal microorganisms in earthworms and soil pollutants from two aspects: (1) the changes of intestinal microorganisms under pollutant stress and the removal of pollutants by intestinal microorganisms. (2) the current application of multiomics analysis techniques in removal of environmental pollutants by earthworm intestinal microbiota. It is expected to clarify the ecological function of intestinal microorganisms of earthworms and provide insights on the roles of earthworms in eliminating soil pollution for sustainable agriculture development. Related Articles | Metrics | Comments（0）

Select

Temporal and spatial variations and driving force analysis of NDVI in Henan Province based on Geodetector. NIE Tong, DONG Guotao, JIANG Xiaohui, LEI Yuxin, GAO Siqi, HE Jiayin Chinese Journal of Ecology    2024, 43 (1): 273-281.   DOI: 10.13292/j.1000-4890.202401.003 Abstract （251）      PDF（pc） （4245KB）（187）       Knowledge map    Save As the main body of the terrestrial ecosystem, vegetation cover can effectively reflect the ecological and environmental change at global or regional scale. It is of great significance to analyze the spatiotemporal variations and driving factors of vegetation cover for regional ecosystem sustainable development. We used the normalized vegetation index (NDVI) to explore the temporal and spatial variations of vegetation in Henan Province from 2000 to 2019. The spatial differentiation characteristics and driving force of vegetation in Henan Province were analyzed by Geodetector model, and the future trend of vegetation was explained by Hurst index. The overall vegetation index in Henan Province showed a fluctuating upward trend from 2000 to 2019, with a growth rate of 0.016  10 a-1. The growth rate during 2009-2019 showed a decreasing trend. Soil type, land use type, GDP and population density greatly affected the spatial distribution of NDVI. The interaction of any two factors exceeded the influence of a single factor, and the interaction of natural and human factors had a significant impact on the spatial distribution of NDVI. Based on the analysis of Hurst index, we found that the future NDVI changes in Henan Province showed anti sustainability characteristics, the area with Hurst index <0.5 accounted for 58.3% of the vegetation coverage in the whole study area, and the whole study area mainly would show a decreasing trend in the future. Related Articles | Metrics | Comments（0）

Select

Responses of plant species diversity and niche breadth of dominant species to human disturbance in Baili Rhododendron National Forest Park. HUANG Ruixue, OU Jing, WANG Hongfei, ZHOU Yumei Chinese Journal of Ecology    2024, 43 (5): 1217-1226.   DOI: 10.13292/j.1000-4890.202405.045 Abstract （250）      PDF（pc） （2635KB）（186）       Knowledge map    Save We explored plant species diversity and niche breadth of dominant species and their coupling relationships with human disturbance in Baili Rhododendron National Forest Park, aiming to provide theoretical basis for sustainable use of landscape resources and biological conservation. We analyzed the relationship between species composition of plant community and dominant species under different human disturbances. Results showed that: (1) A total of 109 species from 80 genera and 49 families were recorded in the 15 plots. (2) The species diversity at different structural layers showed significant differences in response to human disturbance, and species diversity index of tree layer and shrub layer was the highest under moderate disturbance. The Margalef index of shrub layer and herb layer was significantly negatively correlated with the intensity of human disturbance (P<0.01). (3) Niche breadth was the highest in tree layer and shrub layer under different disturbance levels. In shrub layer, niche breadth of Rhododendron agastum was positively correlated with disturbance intensity (P<0.05), while that of Quercus fabri was negatively correlated with disturbance intensity (P<0.01). In herb layer, niche breadth of Hedera nepalensis var. sinensis was positively correlated with human disturbance (P<0.01), while that of Smilax riparia was negatively correlated with human disturbance (P<0.01). Species diversity of each layer in plant community showed significant differences in response to human disturbance. Meanwhile, human disturbance would change community composition, directly or indirectly affect the structure and function of plant populations, and thus destroy community habitat, which are unfavorable to community development. Related Articles | Metrics | Comments（0）

Select

Prediction of potential suitable areas of endangered plant Abies ziyuanensis based on MaxEnt and ArcGIS. LI Sha, MO Shunhua, HU Xinghua, DENG Tao Chinese Journal of Ecology    2024, 43 (2): 533-541.   DOI: 10.13292/j.1000-4890.202402.004 Abstract （244）      PDF（pc） （2368KB）（183）       Knowledge map    Save Abies ziyuanensis, a rare and endangered species endemic to China, has fragile habitats and poor growth due to global climate change. We analyzed the impacts of climate change on the geographical distribution of this species, aiming to provide a theoretical basis for the population protection and reintroduction in the context of global climate change. The maximum entropy model (MaxEnt 3.4.4) and geographic information system (ArcGIS 10.2) were used to simulate three climate scenarios in the two future periods considering the existing geographical distribution data and environmental variables of A. ziyuanensis, aiming to predict potential distribution area and changes. The results showed that the MaxEnt model had high prediction accuracy, with AUC value of 0.998. Under the current climate scenario, the junction of northwest Fujian and Jiangxi, and the alpine region in the north-central part of Taiwan were the most suitable habitat areas for A. ziyuanensis, in addition to the current distribution areas of Guangxi, Hunan and Jiangxi. The main climatic factors suitable for its growth include precipitation of coldest quarter, isothermality, precipitation of driest month and mean temperature of wettest season, which range from 231.99-433.06 mm, ≤21.8%, 50.38-83.57 mm and 10.6-20.5 ℃, respectively, with the peak values being 331.11 mm, 21.8%, 67.19 mm and 15.6 ℃. In the future climate scenario, total suitable area of A. ziyuanensis will be generally expanded. Under the SSP126 scenario, the total suitable area will become the largest in 2021-2040, which will be about 244,700 km2 and increase by 63.7% compared with that under current climate scenario. In the scenarios of SSP126 and SSP585, the highly suitable area will obviously shrink, while the moderately and lowly suitable areas will show an expansion trend. Related Articles | Metrics | Comments（0）

Select

Research progress about phytoremediation mechanisms in saline-sodic soils. ZHOU Jie, WANG Zhichun, YANG Fan Chinese Journal of Ecology    2024, 43 (5): 1452-1462.   DOI: 10.13292/j.1000-4890.202405.035 Abstract （241）      PDF（pc） （1379KB）（132）       Knowledge map    Save Saline-sodic soil is widely distributed around the world. However, transforming it into agricultural land is challenging, resulting in waste of land resources. During the past several decades, researchers have tried to explore the improvement methods of saline-sodic soil, with remarkable achievements. There are various degrees of constraints in these enhanced methods, in terms of environment, input, and cost. As people become increasingly concerned about environmental issues, studies on the utilization of phytoremediation of saline-sodic soil grow quickly. Phytoremediation is a method of improving saline-sodic soils with both ecological and economic benefits. Although the growth and development of most plants are affected by saline-sodic stress, some species have evolved adaptation mechanisms to the saline-sodic environment. Those species can improve soil physical and chemical properties through physiological, morphological and molecular changes, and then achieve the effect of restoring saline-sodic soil. Here, we reviewed the mechanisms of phytoremediation in saline-sodic soil from six aspects: (1) the removal of salts from plant aboveground parts, (2) the improvement of soil physical properties through root growth, (3) the improvement of soil physical and chemical properties through plant residues, (4) the increase of H+ in root exudates, (5) root respiration, and (6) microbial synergistic phytoremediation. By systematically summarizing and collating current research, it is noted that future work should conduct more in-depth research on how to exert the restoration effect of plants in the process of phytoremediation on the basis of time and economy efficient, aiming to maximize the phytoremediation and provide scientific support for saline-sodic soil management. Related Articles | Metrics | Comments（0）

Select

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 Abstract （238）      PDF（pc） （3253KB）（220）       Knowledge map    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. Related Articles | Metrics | Comments（0）

Select

Effects of tidal creek connectivity on fish communities in the Yangtze River estuary wetlands. MA Qiaozhen, ZHANG Tingting, ZHAO Feng, ZHANG Tao, YANG Gang, WANG Sikai Chinese Journal of Ecology    2024, 43 (4): 913-921.   DOI: 10.13292/j.1000-4890.202404.002 Abstract （235）      PDF（pc） （1806KB）（249）       Knowledge map    Save Tidal creeks are the main transporting and exchanging channels of nutrient between estuarine wetlands and adjacent waters, and also serve as the key habitats and migration channels for fish and other aquatic animals. It is of great importance to maintain good connectivity of tidal creeks for the sustainable development of fisheries resources in estuarine wetlands and adjacent waters. Compared with the higher-order ones, the lower-order tidal creeks are more ecologically vulnerable. The highly connected areas of the lower-order creeks are preferred habitats for fish. To quantify the connectivity of lower-order tidal creeks in the Dongtang tidal flat, located in the Chongming Island of the Yangtze River estuary, six indicators from two categories (hydrological group and fish migrating behavior group) were chosen, including cross-sectional area (m), β index, diameter (m), total number of connections between nodes, total length of connections between nodes (m), and measures of local centrality. These indicators were used to analyze the effects of creek connectivity on the distribution of fish communities. The habitat preference mechanism of fish communities could be verified in the lower-order tidal creeks of estuarine wetland. The node path set, which was derived from the fish migrating group and represented by three indicators (total number of connections between nodes, total length of connections between nodes, measures of local centrality) had significant differences (P<0.05) in fish abundance and biomass among the tidal creeks, with high, middle, and low connectivity. This result could effectively verify the effects of connectivity on fish community distribution in the lower-order tidal creeks. Since the node path set was mainly composed of indicators quantifying the lateral connectivity of tidal creeks with adjacent patches, the result also suggested that the habitat preference of fish may be mainly correlated with the lateral connectivity of lower-order tidal creeks, but not with the hydrological connectivity of the higher-order tidal creeks. The characteristics of the lower-order tidal creeks with high connectivity were also clarified, which showed higher measures of local centrality (the average measures of local centrality of the network was 11), more total number of connections between nodes (the average number of paths was 6), and wider swimming range (total length of connections between nodes was about 800 m). The larger the range of suitable habitat for foraging and sheltering, the more this kind of tidal creek could attract small fish or juvenile fish, especially the detritivory and strong swimmer species to habitat. Our results can provide a scientific basis for ecological restoration of wetland tidal creeks. Related Articles | Metrics | Comments（0）

Select

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 Abstract （233）      PDF（pc） （4238KB）（98）       Knowledge map    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. Related Articles | Metrics | Comments（0）