Yangtze estuary salt marsh wetland macrobenthos habitat simulation prediction method

Abstract

The invention provides a Yangtze estuary salt marsh wetland macrobenthos habitat simulation prediction method. The method comprises: S1, performing sampling to obtain a sampling sample, and obtainingsampling data; S2, performing zero-value data processing, and obtaining first preprocessing data; S3, obtaining and preprocessing remote sensing data and auxiliary data, and obtaining second preprocessed data; S4, obtaining a training data set and a verification data set; S5, establishing a neural network space model, and training the neural network space model to obtain a trained model; S6, verifying the fitting goodness of the trained model; and S7, screening the trained model to obtain an optimal model, and obtaining a benthic animal prediction habitat map by using the optimal model. According to the Yangtze estuary salt marsh wetland macrobenthos habitat simulation prediction method, a remote sensing means is used, a neural network space model is integrated, the problems of limited benthic organism data and nonlinear environment data of traditional simulation are solved, and the accuracy of macrobenthos community distribution simulation is improved.

Description

technical field [0001] The invention relates to the field of research on the distribution of benthos communities, in particular to a method for simulating and predicting habitats of macrobenthos in salt marsh wetlands in the Yangtze River Estuary. Background technique [0002] The salt marsh wetland in the Yangtze Estuary is an important part of the estuary ecosystem. It exchanges nutrients frequently with land and marine ecosystems and has a complex and changeable environment. It has the ecological functions of supporting vegetation, providing animal habitats, and maintaining biodiversity. As an indicator that can sensitively reflect habitat changes, macrobenthic animals are the best indicators to link the environmental and ecological characteristics of tidal flat habitats. Monitoring and mastering changes in macrobenthos communities can provide scientific basis for the protection of wetland organisms in the Yangtze Estuary, the evaluation of the quality of the benthic envi...

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Problems solved by technology

2. Environmental variables in the intertidal zone of estuaries are complex and changeable in a small range, and the gradient law of habitat factors is not completely linear. Most traditional spatial models are multiple linear regression models, which cannot completely and accurately reflect the relationship between environmental variables and species distribution. quantitative relationship

The simplest method is to remove zero values ​​before data processing, but simply removing zero values ​​often affects the results and makes the analysis results biased

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