4 results about "Ecological significance" patented technology

The present application relates to a kind of farmland soil quality index evaluation method based on soil animal trophic structure, comprising the following steps: S1 collect the background information of large soil animals in oasis farmland of different tillage years, construct soil animal database;S2 establish large soil animal morphological identification search table and trophic function classification table;S3 to the large soil animal community of oasis farmland of different tillage years is investigated, the total number of large soil animals, the number of groups and the number of individual of each trophic group are counted, the trophic structure index of soil animal is calculated, and soil quality evaluation standard is established;S4 collects the large soil animal sample of oasis farmland of a tillage year, calculates the soil animal quality index according to the method in step S3, and determines the soil quality grade according to the established soil quality evaluation standard.The present application has the advantages of low sampling and analysis workload, simple calculation, clear ecological significance, suitable for fast evaluation of farmland soil quality.

This invention relates to the field of forest ecological quality assessment technology, specifically to a method for classifying forest ecological quality levels based on statistical ecological dual-constraint thresholds. The invention obtains the prediction residual by subtracting the quality index predicted by a dual-task model from the quality index assessed based on actual observation data; it uses a SHAP interpreter to determine the classification SHAP value and regression SHAP value of each ecological feature predicted by the dual-task model; it integrates the analysis results of the SHAP interpreter to find key features for each dynamic trend level; and for each dynamic trend level, it constructs a classification standard for each dynamic trend level based on the feature values ​​of the key features and the prediction residual. This classification standard has both statistical and ecological significance, thus forming an interpretable and reusable hierarchical rule system.

The invention belongs to the technical field of molecular biology, discloses a method for extracting DNA (deoxyribonucleic acid) of plant root sheaths, root systems and rhizosphere soil microorganisms, provides a feasible method for separating the root sheaths from root epidermis, and provides possibility for further researching the microorganisms on the root sheaths and the root surfaces. The root epidermis may be seen as a compartment separating the root system from the soil and may be an interface between the host and the external environment. Microorganisms on the interface possibly have certain important functions and need to be further studied. The difference in composition and function of microorganisms inside and outside the root sheaths prompts reviewing of its potential important effect in plant growth. The invention provides a new method and theoretical guidance for further researching the function and ecological significance of root sheaths.

According to the shrub sand pile stability evaluation method provided by the invention, an objective weight generation mechanism based on machine learning and SHAP interpretation is introduced, and the actual contribution degree and nonlinear correlation characteristics of each index to the stability are deeply mined from massive historical monitoring data, so that the limitation of a traditional objective weighting method is broken through, and the stability of the shrub sand pile is improved. The weight is endowed with clear ecological significance through the interpretability of the SHAP value, so that the one-sidedness that pure subjective weighting depends on expert experience and is easily influenced by cognitive deviation is effectively made up, and the objectivity and scientificity of evaluation are remarkably improved; a three-level security backspacing mechanism is designed, and when subjective and objective weights seriously conflict or the confidence coefficients are low, strategies such as artificial review, high confidence coefficient priority and confidence coefficient weighted average are triggered in sequence, so that the evaluation result is ensured to be always in a reliable boundary, and the robustness and security of the system are greatly enhanced.