应用生态学报最新文献

{"title":"Identification and measurement of potential land use conflicts in \"production-living-ecological\" overlapping spaces of Chang'an District, Xi'an City, China.","authors":"Qing-Rong Dong, Ruo-Nan Zhao, Pei Wang, Long-Jie Yao, Zong-Bin Zhu, Wen-Jing Dai, Bang-Rui Yue","doi":"10.13287/j.1001-9332.202505.024","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.024","url":null,"abstract":"<p><p>Under the backgrounds of urbanization expansion, agricultural development transformation, and the steady advancement of ecological civilization construction, identifying and measuring land use conflicts in production-living-ecological overlapping spaces is crucial for the coordinated development of national land space. We integrated two potential land use conflicts identification methods: production-living-ecological functional characterization and multi-scenario simulation, incorporated ecological risk theory to develop a research framework based on scenario simulation-potential conflicts identification-potential conflicts measurement. We identified and measured potential land use conflicts in three scenarios for Chang'an District of Xi'an in 2030. The results showed that under the ecological bottom-line scenario, Chang'an District experienced the least land use change in 2030, maintaining a relatively stable regional ecological security level, with the smallest potential land use conflicts area of 198.91 km². Across the three scenarios, the area of living-ecological conflicts was significantly larger than that of production-ecological conflicts. The total area of comprehensive potential land use conflicts in Chang'an District was 332.93 km², with severe conflicts concentrated in the Qinling Mountains' foothills, as well as the Fenghe and Juehe River basins, involving 35 villages.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1487-1495"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metacommunity theory and its application in community ecology of nematodes.","authors":"Si-Si Zhang, Ping-Ting Guan, Jing-Jing Yang, Dong-Hui Wu","doi":"10.13287/j.1001-9332.202505.032","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.032","url":null,"abstract":"<p><p>The mechanism underlying community assembly is a core content in the fields of biogeography and community ecology. Understanding community assembly is of great significance for biodiversity conservation. The theory of metacommunity incorporates spatial dynamics into community ecology, elucidating how ecological processes drive community construction at local and regional scales. Metacommunities originated from plant community ecology and have been extensively studied in large animal and plant communities. In recent years, they have also begun to be applied to small- and micro -animal communities. Nematodes are the most diverse and abundant animals, capable of predicting environmental changes at multiple scales, and are model organisms for the study of community assembly theory. We introduced the main content of the theory of nematode assemblages, and reviewed research progress on nematode assemblages in marine, freshwater, and soil habitats. We further proposed to optimize nematode classification methods and enrich the research scale of nematode assemblages in the future, aiming to improve the research content of nematode assemblages and further promote the research and development of community assembly mechanisms in community ecology.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1590-1598"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of chlorophyll content in <i>Dendrocalamus giganteus</i> based on GEDI data optimized by EBKRP method.","authors":"Cui-Fen Xia, Wen-Wu Zhou, Qing-Tai Shu, Ming-Xing Wang, Zai-Kun Wu, Lian-Jin Fu, Cheng-Fang Ren","doi":"10.13287/j.1001-9332.202505.003","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.003","url":null,"abstract":"<p><p>Chlorophyll content is a crucial parameter for evaluating forest health and vegetation growth. It is an urgent to accurately estimate chlorophyll content at the regional scale with low cost by using remote sensing techno-logy. In this study, we took Xinping County, Yuxi City, Yunnan Province, as the research area, and used GEDI data as the main information source. Based on the empirical Bayesian Kriging regression prediction (EBKRP) method, we accurately obtained the continuous distribution of the spot characteristic parameters in the unknown space of the study area. Combined with measured data of 52 plots, we used Pearson correlation, random forest (RF) and gradient boosting regression tree (GBRT) to screen the optimal combination parameters. We further established the best estimation model of chlorophyll content of <i>Dendrocalamus giganteus</i> at regional scale by Random forest regression (RFR) and GBRT models. The results showed that EBKRP demonstrated high prediction accuracy and reliability, with <i>R</i>² values ranging from 0.34 to 0.99, RMSE from 0.012 to 3134.005, rRMSE from 0.011 to 0.854, and CRPS from 965.492 to 1626.887. Different parameter optimization methods yielded slightly different optimal para-meter combinations. Different remote sensing modeling methods showed varying accuracy levels. The GBRT model (<i>R</i>²=0.94, RMSE=0.132, <i>P</i>=91.2%) outperformed the RFR model (<i>R</i>²=0.89, RMSE=0.192, <i>P</i>=89.3%). Using the GBRT model for estimating and mapping the spatial distribution of <i>D. giganteus</i> chlorophyll content, which ranged from 0.22 to 2.32 g·m^-2, with an average of 1.36 g·m^-2. These results aligned with the actual <i>D. giganteus</i> distribution in the study area, indicating that the GBRT model using GEDI data optimized by EBKRP could be feasible and reliable for estimating forest biochemical parameters, thereby providing effective support for forest health monitoring.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1319-1329"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of coupling irrigation volume and organic nutrient solution formula on yield, quality, and water utilization efficiency of greenhouse tomatoes.","authors":"Jia-Li Zhang, Xi Lu, Jian-Ming Li","doi":"10.13287/j.1001-9332.202505.016","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.016","url":null,"abstract":"<p><p>The coupling of irrigation volume and organic nutrient solution plays an important role in improving the quality and yield of substrate-cultivated tomatoes. We used 'Kade Yali' tomatoes as the test material and adopted an organic substrate cultivation in a plastic greenhouse. Based on the irrigation amount (ET) calculated by the advanced decision-making irrigation model, three irrigation levels (I1: 1.2ET+1.4ET, I2: 1.0ET+1.2ET, I3: 0.8ET+1.0ET) were crossed with three organic nutrient solution formulations O1, O2, O3 [(N:P:K content mg·L^-1) were 108:20:157, 103:20:205, 105:20:213 respectively], resulting in nine treatments. We examined the effects of the coupling of volume and organic nutrient solution formulations on growth, photosynthesis, yield, qua-lity, and water use efficiency of tomatoes in spring and autumn. The weights of each indicator were calculated using the analytic hierarchy process, entropy weight method, and a combination of weights based on game theory. The overall evaluation of each treatment was conducted using the TOPSIS method and the GRA method, and the most suitable water and fertilizer scheme was finally selected. The results showed that plant morphology and photosynthetic characteristics varied across treatments. The effect of irrigation volume was greater than that of the formulation of organic nutrient solution. Among them, the I1O2 treatment had the highest dry matter accumulation and yield in both spring and autumn crops, with 261 g and 5177 g in spring and 234 g and 4742 g in autumn, respectively. These values were significantly different from other treatments. The I3O2 treatment had the highest water use efficiency, with 35.66 and 35.42 g·kg^-1 in spring and autumn crops, respectively, an increase of 1.9%-13.8% and 3.8%-26.5% compared to other treatments. The lycopene content of the I3O3 treatment was 0.73 mg·kg^-1. The I1O2 treatment had the highest sugar-acid ratio of 9.65, soluble protein (207.45 mg·g^-1), and Vc content (152.14 mg·kg^-1). The most influential factor in the comprehensive evaluation of the treatments was yield, followed by water use efficiency. The I1O2 treatment had the highest comprehensive evaluation value, representing the optimal combination of tomato yield, quality, and water use efficiency.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1431-1439"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Permafrost dynamics in the Northern Hemisphere under future climate scenarios based on CMIP6.","authors":"Qi-Xuan Tian, Jian-Zhao Liu, Fan-Chao Zeng, Ming Yang, Qin-Rong Tang, Jie Zheng, Yun-Jiang Zuo, Nan-Nan Wang, Xiao-Chen Yao, Yan-Yu Song","doi":"10.13287/j.1001-9332.202505.026","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.026","url":null,"abstract":"<p><p>Global warming is increasingly affecting permafrost in the Northern Hemisphere, with permafrost degradation being one of the most serious consequences of climate change on the cryosphere. Based on the CMIP6 soil temperature data from 15 different earth system models (ESMs) (ACCESS-CM2, ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CESM2, CESM2-WACCM, EC-Earth3, FGOALS-f3-L, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MPI-ESM1-2-LR, MRI-ESM2-0, NorESM2-LM, NorESM2-MM), we analyzed the spatiotemporal variations of the permafrost area and active layer thickness (ALT) in the Northern Hemisphere under different future emission scenarios (SSP126, SSP245, SSP370, and SSP585), aiming to clarify the main environmental driving factors affecting the changes in ALT. Results showed significant discrepancies in the simulation capabilities of ALT across ESMs. Based on the analysis of the four optimal performance ESMs (MPI-ESM1-2-LR, ACCESS-ESM1-5, MPI-ESM1-2-HR, and BCC-CSM2-MR), we found that the reduction rate of permafrost area significantly accele-rated from 2015 to 2100 under high emission scenarios (SSP370, SSP585), and the rate of permafrost area decline under SSP585 scenario was eight times that of SSP126 scenario. The permafrost area would increase under SSP126 scenario, but it would continue to decrease under SSP245, SSP370, and SSP585 scenarios. ALT was projected to increase significantly under all four scenarios, with the annual increasing rate under SSP585 being 22 times higher than SSP126. Furthermore, we found that the end time of annual permafrost thawing would gradually change from September to November, leading to an extension of the thawing period. Key factors, such as air temperature, air humidity, vegetation leaf area index, snow cover, and wind speed showed positive effects on permafrost degradation in most regions, while soil moisture showed negative effect. Overall, future greenhouse gas emission controls would offer potential pathways to mitigate the risk of rapid permafrost degradation in the Northern Hemisphere.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1496-1506"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research progress on sex pheromones in aquatic animals.","authors":"Jun-Yi Wu, Jun Liang, Xue-Ting Li, Kai-da Xu, Tao Zhang, Hui-Lai Shi","doi":"10.13287/j.1001-9332.202505.034","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.034","url":null,"abstract":"<p><p>Sex pheromones, as key mediators of chemical communication in organisms, are important for regulating species behaviour and ecological relationships. During the reproductive phase, these substances can be used to induce directed convergence and specific behavioural responses in individuals of the same species and opposite sex. However, there are significant technical challenges in studying aquatic animal pheromones, primarily the limited sensitivity and specificity of detection methods. The pheromonal compositions and mechanistic pathways across many species remain unclear. Given the transmission properties of aquatic environmental media for chemical signals, in-depth analyses of the interactions between sex pheromones and the sensory systems and reproductive strategies of animals will help to unravel their adaptive mechanisms. This review clarified the conceptual framework of pheromones, synthesized current knowledge on their sources, release pathways, chemical profiles, and target species in aquatic animals, and examined their functional roles during reproduction. We further prospected the future practical applications of sex pheromone research, aiming to provide reference for aquatic animal diversity conservation, ecological restoration and aquatic animal management.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1599-1608"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal changes of physiological and biochemical characteristics of four shrub species in Chaiwopu Lakeshore desert area of Xinjiang, China.","authors":"Wei Guo, Zheng-Wu Dong, Guang-Ying Li, Yan-Qin Xu","doi":"10.13287/j.1001-9332.202505.005","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.005","url":null,"abstract":"<p><p>We investigated the physiological characteristics of four shrub species in the coastal desert area of Chaiwopu Lake in spring (May), summer (July), and autumn (September), including <i>Calligonum junceum</i>, <i>Zygophyllum xanthoxylum</i>, <i>Caragana leucophloea</i>, and <i>Caragana roborovskyias</i>. The results showed that from spring to autumn, leaf moisture content of all the four species showed a decreasing trend, while the water saturation deficit showed an increasing trend. The activity of superoxide dismutase, proline, and soluble protein content all showed a trend of first increasing and then decreasing, indicating that all the four shrub species could enhance their adaptation to arid environments by regulating antioxidant and osmotic regulation systems. In summer, the activities of superoxide dismutase and catalase in <i>C. leucophloea</i> were significantly higher than those in the other three species. The increase in soluble protein and soluble sugar content was the highest, 2.1 and 3.7 times that of spring, respectively, reflecting the relatively strong antioxidant and osmotic regulation abilities of <i>C. leucophloea</i>. From spring to summer, the abscisic acid levels of all the four species significantly increased. Among them, the abscisic acid levels of <i>C. leucophloea</i> and <i>C. roborovskyi</i> increased significantly, by 4.0 and 5.9 times, respectively compared to spring, indicating a more pronounced activation of their stress response mechanisms. Compared with spring, the non-structural carbohydrate content of <i>C. leucophloea</i> and <i>C. roborovskyi</i> significantly increased in summer, with higher total chlorophyll content, indicating stronger carbon assimilation. The total chlorophyll content of <i>C. junceum</i> and <i>Z. xanthoxylum</i> in summer increased by 1.2 and 1.7 times respectively, while the content of soluble sugars, non-structural carbohydrates, and starch significantly decreased, indicating that carbon budget of these two shrubs was limited, with carbon consumption greater than carbon supply. In summary, the four desert shrubs in the study area could respond to and adapt to changes in natural habitats through osmotic and antioxidant regulation systems. Their drought resistance was ranked in the order of <i>C. leucophloea</i> > <i>C. roborovskyi</i> > <i>C. junceum</i> > <i>Z. xanthoxylum</i>. Two species of <i>Caragana</i> plants (<i>C. leucophloea</i> and <i>C. roborovskyi</i>) could be used as the preferred dominant shrubs for ecological restoration in the Chaiwopu lakeside desert area.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1350-1360"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation of carbon flux in tea plantation based on an improved Biome-BGC model in hilly areas of Southeast China.","authors":"Yu-Yang Shao, Heng-Peng Li, Jian-Wei Geng, Jiang-Hua Yu, Yunjie Shi, Askar Akida","doi":"10.13287/j.1001-9332.202505.001","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.001","url":null,"abstract":"<p><p>The rapid expansion of tea plantations in the hilly regions of southeastern China significantly impacts regional carbon cycle. The Biome-BGC model, commonly used to quantify carbon fluxes, lacks sufficient representation of artificial management processes. We integrated the measured and remote-sensed leaf area index (LAI) to improve the Biome-BGC model, enhancing its simulation capabilities for the artificial management processes in tea plantations. The results showed that LAI was a crucial intermediate variable in the Biome-BGC model. Accurate simulation of LAI was the key to improve the model's precision in simulating carbon fluxes in tea plantations. The improved model significantly enhanced the simulation accuracy of gross primary productivity (GPP) and ecosystem respiration (RE), with 5-year average GPP and RE values of 1.26 and 1.19 kg C·m^-2, respectively. The daily-scale <i>R</i>² values reached 0.55 and 0.80, representing an increase of 44.5% for GPP and a decrease of 0.9% for RE compared to the original model. The root mean square error (RMSE) values were 0.887 and 1.030 g C·m^-2·d^-1, representing reductions of 50.3% for GPP and 68.4% for RE compared to the original model, respectively. At the month scale, the improved model significantly reduced the overestimation of original model resulted from insufficient representation of artificial pruning for tea plantations. The improved model could dynamically depict the impact of LAI fluctuations caused by pruning on the carbon cycle and its applicability across different time scales had been verified, which would provide technical support for quantitative research on carbon cycling in tea plantations with high-intensity anthropogenic management.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1339-1349"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation of the effect of soil organic matter on carbamazepine transport.","authors":"Meng-Yuan Han, Feng-Xian Chen, Ya-Nan Shi, Xi-Juan Chen","doi":"10.13287/j.1001-9332.202505.015","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.015","url":null,"abstract":"<p><p>Carbamazepine, one of the most frequently detected pharmaceuticals in the environment, is a representa-tive pollutant in the category of pharmaceuticals and personal care products. It can easily enter soil and groundwater through recycled water irrigation and sludge application. However, the impact of soil organic matter on the transport of carbamazepine remains unknown. We investigated the transport behavior of carbamazepine using indoor saturated soil column experiments, complemented by simulations performed with Comsol Multiphysics. We compared the transport capacity of carbamazepine in high organic matter soil (22.7 g·kg^-1) and low organic matter soil (8.0 g·kg^-1), aiming to analyze the differences in carbamazepine transport and provide a theoretical basis for assessing agricultural soil and groundwater contamination risks associated with recycled water irrigation. The results showed that soil organic matter significantly affected the transport capacity of carbamazepine. In soil with high organic matter, carbamazepine exhibited weaker mobility, with a longer initial breakthrough time (2.86 h). In contrast, in soil with low organic matter, carbamazepine had stronger mobility, a shorter initial breakthrough time (1.67 h). The dynamic transport process of carbamazepine in soil column was simulated by numerical simulation. The results showed that high organic matter soil had a higher adsorption rate (5.54×10^-8 mol·m^-3·s^-1) and adsorption amount (6.85×10^-5 mol·kg^-1 ), likely due to its larger surface area and greater number of adsorption sites. In contrast, low organic matter soil exhibited a lower adsorption rate (3.03×10^-8 mol·m^-3·s^-1) and lower adsorption capacity (5.44×10^-5 mol·kg^-1), leading to faster transport. In summary, soil organic matter plays a crucial role in regulating carbamazepine transport. The transport and diffusion risk of carbamazepine is higher in low organic matter soils. Furthermore, numerical simulations using Comsol Multiphysics could effectively complement traditional experimental data, providing a valuable tool for predicting the environmental fate of carbamazepine in natural soils.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1413-1421"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discussion on problems in the development and application of crop growth model.","authors":"Jian-Ping Guo","doi":"10.13287/j.1001-9332.202505.012","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202505.012","url":null,"abstract":"<p><p>Smart agriculture is an important direction for agricultural development. As a digital tool for accurate management and intelligent decision-making of crop production, crop growth model is one of the core technologies of smart agriculture, which is called smart agricultural brain. Here, I introduced the development history of crop growth models in recent decades, which included germination stage, initial stage, rapid research and development stage, deep development stage, improvement and application stage. The characteristics and limitations of several typical models (Wageningen series models, DSSAT model, APSIM model, STICS model, etc.) widely used in the world were emphatically introduced. There are many shortcomings in the application of current crop growth models, mainly manifested in the weak generalization ability and poor migration ability of crop growth models, which limited the regional application ability of the models. The mechanism of response of crop growth and development to environmental factors was not well understood. Meanwhile, the quantitative expression model needed to be improved. The lack of quantitative description of adverse effects such as extreme weather events, pests and diseases affected the simulation accuracy of the model. It was difficult to balance the complexity of the model and the convenience of application. The application of crop growth models was not sufficiently integrated with current new technologies. The insufficient interpretability of genetic parameters in crop growth models impacted the prediction ability of the models.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 5","pages":"1579-1589"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}