39 results about "Biocoenosis" patented technology

The invention discloses a year-round production management method of a rice, loach and shrimp ecological planting and breeding system, and belongs to the technical field of intelligent agriculture. The method comprises the following steps: acquiring multi-dimensional data through a sensing network to obtain a comprehensive state vector; based on the vector and a target induction knowledge base, judging the physiological state of the organism and calculating a coupling matching degree; when the coupling matching degree is lower than a preset threshold value, active induction regulation and dynamic priority arbitration are conducted, an optimal regulation instruction is generated, and the arbitration process combines a long-term production target and ecological conflict punishment, comprises a closed-loop self-adaptive learning mechanism and is used for correcting model parameters and a knowledge base on line; and finally, the instruction is executed by the environment and biocenosis regulation and control execution system. According to the method, the conversion from passive stress regulation to active predictive optimization can be realized, decision conflicts in a multi-species symbiotic system are effectively processed, the method has adaptive learning ability, and the globality, the stability and the intelligent level of system management are improved.

A method for detecting the extent of microplastic accumulation in bivalve organisms in extreme deep-sea environments is provided. This method is performed through sampling of biological communities to represent the community structure of that biological bed layer, then morphological characterization statistics are conducted to classify the age stage data of individual bivalves, multivariate factor analysis is used to obtain the individual bivalves with the greatest degree of contribution in each classified age stage, subsequently tissue-specific microplastic extraction is performed, the morphology of seafloor microplastics is restored and streamlined identification of full-size microplastics is considered, carbon-14 dating is used to trace the duration of microplastic adsorption by each individual bivalve, dynamic accumulation curves for seafloor bivalves are constructed by connecting each bivalve's survival duration, and finally this is scaled up to the entire bivalve bed to derive the microplastic accumulation rate and historical accumulation of the entire extreme ecosystem.

The invention provides a method and a device for identifying multi-trophic-level aquatic biocenosis stability influence factors, and relates to the technical field of aquatic ecosystem analysis. The method comprises the following steps: acquiring a water body physicochemical parameter data set and a multi-trophic-level aquatic biocenosis data set of a plurality of sampling points of a target water area; constructing a species association network system for stability calculation based on the multi-trophic-level aquatic organism community data set; calculating a stability index representing the overall stability of the community based on the network system; and finally, analyzing the contribution degree of the water physical and chemical parameter data set to the stability index by utilizing a machine learning model, and identifying the key influence factor according to the contribution degree. According to the method, the key physical and chemical factors influencing the stability of the ecological system can be systematically and accurately identified by integrating the multi-nutrition-level community structure and machine learning, and the targeting and management efficiency of the restoration of the water ecological system are improved.

This invention provides a method and system for assessing the impact of construction disturbance on biodiversity in nature reserves, relating to the field of computer technology. The method includes: acquiring species distribution data, construction disturbance data, and environmental data within the nature reserve; constructing an ecological association network based on the species distribution data to obtain a species interaction network; extracting network structure features from the species interaction network to obtain a set of key species; modeling the disturbance propagation dynamics based on the set of key species and the construction disturbance data to obtain an impact propagation path map; predicting biodiversity responses based on the impact propagation path map and environmental data to obtain trends in changes in biological community composition; and conducting a comprehensive impact assessment based on these trends, outputting an impact level index by comparing the degree of deviation from historical baseline states. This invention effectively improves the overall accuracy and predictive precision of the assessment of the impact of construction disturbance on biodiversity in nature reserves.

The invention provides a microflora abundance trajectory prediction method, device and equipment and a medium, and relates to the technical field of biological information, and the method comprises the steps: obtaining at least one target abundance time sequence corresponding to a plurality of fermentation bodies of a first production team; the target abundance time sequence comprises abundance data of the target microorganism class group in the complete fermentation stage according to fermentation time sorting; dividing each target abundance time sequence to obtain a corresponding first abundance time sequence and a corresponding second abundance time sequence; the first abundance time sequence corresponds to a first fermentation stage, and the second abundance time sequence corresponds to a second fermentation stage after the first fermentation stage; and training the first time sequence prediction model by taking each first abundance time sequence as an input and taking the corresponding second abundance time sequence as a training label to obtain a second time sequence prediction model. The method can accurately predict the abundance change track of the target microorganism class group based on the second time sequence prediction model.

The invention provides a biological bait culture method for pond culture water. The biological bait culture method comprises the following steps: S1, building a three-dimensional culture system; s2, preparing an ecological base and a biocenosis; according to the method, by building a three-dimensional cultivation system of the bottom layer modular net cage, the water surface floating type three-dimensional cultivation frame and the intelligent regulation and control system and combining scientific configuration of ecological bases and biocenosis, the problem that bait supply is unstable in traditional cultivation is effectively solved; the light organism cultivation unit, the plant planting unit and the biological membrane carrier unit of the water surface floating type three-dimensional cultivation frame work in a layered mode, bait organisms such as chlorella, copepods and rotifers in different water layers are cultivated in a directional mode, a complete closed-loop food chain is constructed in addition to food filtering and nutrition supplementing of snails and freshwater mussels, and the bait yield per unit water body is greatly increased.

The invention discloses a multi-class-group ecological safety operation space determination method and system for a large estuary delta and a storage medium. Relates to the technical field of ecological environment protection and wetland resource management. The method comprises the following steps: acquiring multi-source spatio-temporal data of a target estuary delta, preprocessing, constructing a multi-period inning boundary database, analyzing a distance effect, calculating an inning strength index, determining an optimal hysteresis period through hysteresis analysis, constructing three types of accumulation indexes, fitting a response relation curve of the three types of accumulation indexes and biodiversity, and determining the biodiversity of the target estuary delta. Identifying non-linear inflection points on the curve to determine a threshold position; and constructing a biodiversity response surface according to the analysis result, and further identifying the ecological operation space. According to the method, data of multi-stage remote sensing, multi-class biodiversity monitoring and the like and a multi-model joint calculation framework are combined, the lag response, the cumulative effect and the threshold features of the multi-class biocenosis are quantitatively recognized, an ecological safety operation space recognition system is formed, and support can be provided for ecological planning, management and decision making.

The invention discloses a method and a system for evaluating a hysteretic effect of an influence factor in a species growth-suitable area, and the method comprises the steps: obtaining the distribution data of a to-be-researched species, and simulating the habitat condition of the to-be-researched species according to the distribution data, thereby obtaining a habitat distribution diagram; acquiring environmental factor data influencing the growth of the species to be studied, projecting environmental factors into the habitat distribution map, and processing to obtain environmental factor data of the suitable growth area; calculating the explanatory force of the environment factor data of the growth-suitable area to the spatial differentiation of the growth-suitable area of the species to be researched, and screening out key factors according to the explanatory force; and performing causal relationship analysis on each key factor by adopting a dynamic causal inference method GCCM to obtain a causal relationship and strength, and evaluating the hysteresis effect of the key factors according to the causal relationship and strength. According to the method, the problem that the time delay effect of an ecological system on environment change is difficult to depict in the prior art can be solved, and the influence of global climate change and human activities on biocenosis can be evaluated more accurately.

An evolutionary algorithm is used to determine parameters of a production process of a complex microorganism community, CMC, product given a target profile for the CMC product. CMC mixing operation and co-cultivation operation of a CM C product are modelled, using learnt matrix-based models. The evolutionary algorithm iteratively modify candidates representing the parameters, including a set of complex microorganism community samples in the initial sample collection and mixing ratios for one or more mixing operations in the production process. The determined set of samples and associated mixing ratios are then used to control actual picking and processing of complex microorganism community samples according to the mix production process, to obtain a CM C product as close as possible, in terms of profiling features, to the target profile.

The invention discloses an ecological restoration method for regulating and fixing heavy metals by utilizing a rhizosphere effect, and belongs to the technical field of water environment ecological restoration. According to the method, the pollution degree, form and release risk of target heavy metal in the sediment are determined through pollution diagnosis, then submerged plants with specific rhizosphere oxygen secreting and acidification capacity are screened in a targeted mode for single planting or mixed planting, a stable submerged plant community is constructed, iron and manganese oxides are formed through induction of the plant rhizosphere effect, and the target heavy metal in the sediment is obtained. According to the method, the in-situ remediation of heavy metal pollution is realized, the function of rhizosphere microflora is regulated and controlled, the form of the heavy metal with higher activity is converted into a stable form or is adsorbed and fixed on a rhizosphere iron membrane, meanwhile, the remediation process can be monitored through an in-situ high-resolution monitoring technology, and finally, the in-situ remediation of the heavy metal pollution and the collaborative restoration of a water ecosystem are realized. The method is clear in mechanism, high in pertinence, environment-friendly, low in cost and monitorable in effect, and can be widely applied to remediation of sediment heavy metal pollution of shallow water bodies such as lakes, river channels and ponds.

Micron scale biogeography is a major driver of physiology and ecology of complex microbial biofilm communities, which remains elusive largely due to the lack of tools for spatially resolved phylogenetic mapping. This disclosure provides methods, computer-readable storage devices and kits that allow highly multiplexed and spatially resolved imaging of microbial community spatial organization. The disclosure provides a highly-multiplexed approach to resolve the spatial structure of complex microbial community at high taxonomic resolution.

An evolutionary algorithm is used to determine parameters for a complex microbial community (CMC) product production process based on a target profile of the CMC product. The CMC mixing and co-cultivation operations for the CMC product are modeled using a trained matrix-based model. The evolutionary algorithm iteratively refines candidate parameters, including the set and mixing ratio of complex microbial community samples in an initial sample collection, for one or more mixing operations in the production process. The determined set of samples and associated mixing ratios are then used to control the actual extraction and processing of the complex microbial community samples according to the mix production process, resulting in a CMC product that is as close as possible to the target profile in terms of profiling characteristics.

The invention belongs to the technical field of estuary environment biodiversity monitoring, and particularly relates to a method for monitoring estuary environment biodiversity based on eDNA. According to the method, three core strategies of gradient partition point distribution, sediment-dominated collaborative sampling and multi-method parallel verification are creatively integrated, and a set of special eDNA monitoring method for the complex estuary environment is formed. The implementation result proves that the method can systematically, sensitively and non-invasively reveal the spatial pattern of the estuary biocenosis, and effectively solves the key technical problems that the traditional method is large in interference and low in efficiency, and the general eDNA technology is insufficient in pertinence to benthic organisms and poor in representativeness.

The invention discloses a soil microbial community composition data batch processing system, method and equipment, and relates to the technical field of microbial community processing, the system comprises: a flora data acquisition module acquires a flora data file, the flora data file comprises original flora measurement data of each soil sample in a plurality of soil samples, and the original flora measurement data is stored in a database; the sorting rule configuration module generates sorting rule data, the flora data sorting module performs sorting processing on the flora data file based on the sorting rule data, determines a parent class of each subclass in each flora original measurement data in the flora data file, obtains a sorted flora data file, and sends the sorted flora data file to the data processing module; and the flora data statistics module calculates the content of each subclass and the content of each parent class in each piece of flora measurement data in the sorted flora data file to obtain a flora data file after statistics. According to the invention, batch processing of the soil microbial community composition data can be automatically completed, and the processing efficiency is improved.

The invention belongs to the technical field of ecological environment evaluation, and discloses a coastal zone ecological restoration effect dynamic evaluation method based on satellite remote sensing data, which comprises the following steps of: firstly, combining satellite remote sensing with ground monitoring to obtain space-time continuous ecological parameters, eliminating dimensional difference through normalization to ensure data comparability, and then, carrying out dynamic evaluation on the coastal zone ecological restoration effect. A mathematical model of a first ecological restoration coefficient, a second ecological restoration coefficient and a third ecological restoration coefficient is dynamically constructed, the first ecological restoration coefficient reflects biocenosis restoration potential, the second ecological restoration coefficient quantifies hydrological suitability, and the third ecological restoration coefficient evaluates water quality stress; setting a threshold interval, judging a single item, calculating a comprehensive evaluation value, carrying out comprehensive evaluation on ecological restoration according to the comprehensive evaluation value, calculating an ecological score when the evaluation result is unqualified, and preferentially restoring a low score item.

The invention provides a health evaluation method and system for a mountain river ecosystem based on a food web, and relates to the technical field of ecological environment science and aquatic ecology, and the method comprises the steps: collecting data of the mountain river ecosystem; constructing an Ecopath model database according to the mountain river ecosystem data; according to the Ecopath model database, an Ecopath model is constructed; and establishing an ecological system evaluation method based on an Ecopath model, and performing health evaluation. The method comprehensively considers the interaction, physical and chemical environmental factors and unique hydrological characteristics of the multi-trophic-level biocenosis of the mountainous river, and solves the problem that the traditional evaluation method neglects the structure and function of the food web and is difficult to accurately quantify the ecological health condition. And a new technical means is provided for protecting and managing a river ecosystem in a mountainous area under the interference of climate change and human activities.

The invention discloses a microbial community monitoring method, system and equipment for wetland soil, and relates to the technical field of microbial monitoring. The method comprises the following steps: acquiring an original monitoring spectrum of a target monitoring point in target wetland soil; correcting the original absorbance in the original monitoring spectrum based on the first calibration curve to obtain a first corrected spectrum; the first calibration curve is used for representing a change curve of the pure moisture simulated absorbance corresponding to each wavelength point along with the moisture content, and the first correction spectrum is used for representing a spectrum after moisture interference is removed; on the basis of the first test fluorescence intensity of each wavelength point at different moments under the humus change condition, correcting the original fluorescence intensity in the first correction spectrum to obtain a second correction spectrum; the humus content is linearly changed under the humus change condition, and the second correction spectrum is used for representing the spectrum after humus interference is removed; and carrying out spectral analysis on the second correction spectrum, and determining the activity indexes of various ecological functions in the target wetland soil.

The application belongs to the field of agricultural technology, and particularly relates to a preparation method of artificial soil, which comprises the steps of two-stage fermentation, construction of a nano-mineral and biochar composite skeleton system, inoculation of a composite microbial agent, soil activation and the like. The application simulates a natural soil formation mechanism in a systematic manner, combines soil, biology and material science, focuses on three key dimensions of organic matter gradient conversion, mineral skeleton precise construction and microbial community cultivation, improves multi-source organic waste cooperative aerobic fermentation, develops nano-scale mineral activation and biochar modification technology to construct a multi-level pore structure similar to a honeycomb, and implants a specific functional microbial community, so that a soil self-sustaining ecosystem is rapidly established, and high humus, high structural stability and high biological activity of the soil are achieved.

The application provides a species identification feature representation method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises: acquiring a trait sequence of a species; inputting the trait sequence of the species into an identification feature query model to obtain a neural embedding of the species output by the identification feature query model; wherein the identification feature query model is trained based on sample trait sequences of sample species carrying labels; the label of the sample trait sequence of the sample species is obtained by inputting the evolutionary trajectory data of the evolutionary biotic community in which the sample species is located into an information encoding model; the information encoding model is trained based on sample evolutionary trajectory data of a sample evolutionary biotic community; and the information encoding model is used to encode the evolutionary trajectory data at different scales to capture multi-scale information of the species in the evolutionary trajectory data, thereby improving the accuracy of the prediction result of the evolutionary process of the biotic community in which the species is located.

The invention provides a method and system for evaluating the influence of construction disturbance on the biodiversity of a natural reserve, and relates to the technical field of computers, and the method comprises the steps: obtaining species distribution data, construction disturbance data and environment data in the natural reserve; constructing an ecological association network according to the species distribution data to obtain a species interaction network; performing network structure feature extraction according to the species interaction network to obtain a key species set; performing disturbance propagation dynamics modeling according to the key species set and the construction disturbance data to obtain an influence propagation path diagram; performing biodiversity response prediction according to the influence propagation path diagram and the environmental data to obtain a biocommunity composition change trend; and performing comprehensive influence evaluation according to the change trend of the biocenosis composition, and outputting an influence grade index by comparing the deviation degree of the historical baseline state. According to the method, the integrality and predictive evaluation precision of the construction disturbance influence on the biodiversity of the natural reserve is effectively improved.

The invention provides an ecological geological environment quality evaluation method, which comprises the steps of determining a target ecological geological evaluation region, and establishing a standardized geological and ecological environment data set; the method comprises the following steps: collecting indicator organism and microorganism samples, and forming biocenosis data by utilizing high-throughput sequencing and morphological identification; ecological data and geological data are fused, and ecological and geological fingerprint feature vectors are constructed by adopting a principal component analysis and auto-encoder combined algorithm; training is carried out based on a random forest and LightGBM double-model fusion structure, feature importance is calculated, and model drift monitoring and adaptive retraining are realized; calling the training model to judge the quality grade and the risk type of each ecological unit, and outputting a key control factor and a confidence result; an ecological geology partition map and a report file are generated in combination with GIS spatial clustering, and dynamic updating and tracing of achievements are achieved through version management and electronic signature.

The utility model relates to the technical field of water ecological restoration, and provides an adjustable biofilm culturing device for improving nitrogen and phosphorus retention potential of a small and micro water body. The suspended ball filler on the biological filler filter frame and the MBBR filler in the suspended ball filler can provide good attachment conditions and habitat for periphytic algae, bacteria, fungi, invertebrates and the like, a periphytic biocenosis structure with rich biodiversity is constructed, and the biofilm biomass of the periphytic algae, bacteria, fungi, invertebrates and the like is improved by improving the biofilm biomass of the periphytic algae, bacteria, fungi, invertebrates and the like. The nitrogen and phosphorus retention capacity of the small and micro water body is improved; the height of the device in water can be adjusted according to the depth of a water body through the design of multiple embedded baffles of the fixed plate; according to the utility model, each group of suspended ball fillers can be freely detached, so that damaged suspended balls can be replaced or aged biological membranes can be updated; the material used by the utility model has the advantages of simplicity in manufacturing, low operation cost, large surface area, easiness in biofilm formation, easiness in cleaning, no harm to the environment and the like.

The invention discloses a method for establishing microbial ecology in red mud. The method comprises the following steps: A, adding an organic neutralizer into the red mud, uniformly mixing, and enabling the pH value of the red mud to be 8.5-9.5; b, adding a carbon source substance, a nitrogen source substance, a structure improving substance and naturally collected soil into the red mud in the step A, uniformly mixing, standing and fermenting at 15-40 DEG C for not less than 7 days, and stirring once every 28 hours during the period; the pH value of the fermented red mud is 8.3-9.3, the content of microorganisms is not less than 1.005 * 10 < 5 > / g, and the content of organic matters is not less than 3%. By optimizing the raw material ratio and the fermentation process, a microenvironment suitable for growth of microorganisms is created, rich microbial communities are introduced and cultured, soil improvement of the red mud is achieved, and an efficient solution is provided for ecological restoration of the red mud storage yard.

The invention relates to the field of ecological restoration, in particular to a coastal wetland ecology restoration method. The invention provides a coastal wetland ecology restoration method. The coastal wetland ecology restoration method comprises the following steps that invasive species of a to-be-restored land are removed; laying an ecological restoration matrix; the sea grass is planted in a cluster-strip composite mode, and field planting is conducted; introducing biocenosis in batches every two months; a tide response system and an intelligent monitoring platform are set up to monitor the condition of the to-be-repaired land; the ecological restoration matrix comprises 40% of oyster shells, 40% of coral sand and 20% of bentonite. According to the remediation method provided by the invention, the seaweed bed and the eucheuma are planted at intervals to form an algae-grass barrier, so that the transparency of a water body is effectively improved, and photosynthesis is promoted; the disturbance behavior of benthonic animals such as sea cucumbers enhances the oxygen penetration depth and oxidation-reduction potential (Eh) of sediments and improves the substrate environment; tidal self-adaption is achieved through the gradient buoyancy planting device, and it is guaranteed that sea grass stably grows under different water level conditions.

The invention discloses an ecological restoration method suitable for turbidity reduction and purification of high-turbidity urban and rural rivers in plains. The ecological restoration method comprises the following steps: ecological water level regulation and control; bottom layer fishes and reptiles are removed; substrate improvement; submerged plants are planted at the substrate I; filter-feeding freshwater mussels are stocked at the substrate II; stocking filter-feeding fish silver carps and bighead carps; and stocking rhodeinae fishes and pelteobagrus fishes. According to the ecological restoration method suitable for turbidity reduction and purification of the high-turbidity urban and rural rivers in the plain, a new biocenosis can be established in the high-turbidity urban and rural rivers in the plain, the turbidity reduction and purification effects on the high-turbidity rivers can be achieved, and meanwhile the navigation, flood discharge and other effects of the rivers can be guaranteed; the method is very conveniently applicable to urban and rural high-turbidity rivers undertaking navigation and flood discharge effects, can realize organic unification of the ecological environment benefits of turbidity descending and purification and the economic and social benefits of the rivers, and has very good market popularization and use values.

The application discloses a marsh habitat multi-element integrated promotion method based on biological difference requirements, and belongs to the technical field of wetland ecological restoration. The method first carries out biological resource investigation and water quality monitoring on the target marsh area, establishes the corresponding relationship between the biological community life cycle stage and the habitat element demand, and then divides the area into a clear water structure type habitat promotion area and a food supply enhancement area. In the clear water promotion area, complementary submerged plant combinations are used for restoration, and in the food supply enhancement area, local fish stocking is implemented by constructing a containment unit, and the water eutrophication state is monitored in real time. The effect evaluation is completed through regular ecological monitoring. The application is oriented to biological differentiation requirements, cooperatively regulates water quality, food supply and habitat structure, has stronger restoration accuracy and stability, can effectively improve the suitable living conditions of the key life cycle of multiple types of organisms, and optimizes the structure and function of the marsh wetland ecosystem.

This invention relates to the field of water pollution control and aquatic ecological restoration engineering technology, specifically disclosing a semi-fixed bio-floating island coupled biofilm device for wastewater treatment. It includes: a floating island platform, comprising a platform frame; a biofilm carrier system suspended below the platform frame, including adsorption valves and several suspended carrier units; an anchoring system located below the platform frame; and an aeration system matched with the suspended carrier units. This device, through the arrangement of the suspended carrier units, can screen and cultivate the most effective denitrifying microbial communities at the source and pre-load them onto the biofilm carrier, achieving the coupling of ultrafiltration membrane-biorope directional mass transfer and pre-acclimation of the moving bed biofilm, as well as closed-loop treatment of pollutants through "retention → decomposition → transport → absorption," overcoming the limitations of traditional floating islands that rely on passive adsorption; and solving the problems of poor fixation and low TN removal efficiency in existing bio-floating island technologies.

The present application belongs to the technical field of ecological environment protection, and particularly relates to a quantitative reconstruction method of interspecific relationship of biological community, comprising the following steps: S1, lake biological-environment database arrangement; collecting and arranging the lake biological-environment database of the region, establishing the regional biological database of all specific biological groups appearing in the surface sample of the lake, and standardizing the data of the water environment physicochemical indexes corresponding to each lake after summarizing to form the regional environment database; S2, collection of lake drilling data; using a Kajak gravity sampler to extract the sediment drilling at the central position of the lake and to divide the sample, the sample is placed in a self-sealing bag, transported in cold storage, and stored in a room at -20 DEG C for physicochemical index analysis and biological species identification. The niche breadth and overlap of the internal species of the biological community are calculated, the coexistence relationship between the species in the lake is quantified, and a dynamic evaluation tool of the interspecific relationship is provided.

The invention belongs to the technical field of ecological restoration, and particularly relates to a novel application of morchella esculenta and a restoration method for enriching the biodiversity of soil in a burned area based on wild-imitating cultivation of the morchella esculenta, and the application of the morchella esculenta in enriching the biodiversity of the soil in the burned area. Morchella esculenta is planted under the burned area forest by adopting a wild-imitating cultivation technology, the soil biological activity is activated through the metabolic activity of morchella esculenta, and the soil biocenosis is rebuilt. The restoration method is universal, efficient and high in sustainability, and ecological and economic win-win effects are achieved; through scientific configuration of strains and a cultivation mode, synergistic recovery of physical and chemical properties of soil and biocenosis is realized, allogenic substances such as chemical modifiers, pesticides and chemical fertilizers are not used in the whole process, and the risk of secondary pollution is avoided; the soil biodiversity improvement effect is obvious, and the recovery efficiency is high; the cost is low, and large-scale popularization is easy.

The invention provides an ancient environment quantitative reconstruction system and method based on a multi-output neural network. The system comprises a training data set construction module, a sedimentary rock core data set construction module, a data integration and preprocessing module, a multi-output neural network model construction and training module, a model cross validation module, a model interpretability analysis module and an ancient environment quantitative reconstruction module. According to the system disclosed by the invention, modern biological-environmental data are collected, water environment indexes are measured at the same time, and a sedimentary rock core is adopted for an environment which needs to be subjected to quantitative environment reconstruction for sample separation and dating; according to the method, biocenosis composition and water environment indexes obtained in surface sediments are preprocessed, then multi-output neural network model training is carried out, and SHAP interpretability analysis is carried out. And then inputting biocenosis data of a time sequence in the sedimentary rock core into the trained model, and outputting a result of environment quantitative reconstruction.