A method and device for processing multi-source species distribution data

Abstract

The present invention provides a method for processing multi-source species distribution data, comprising: step 1: collecting environmental data in species distribution areas, and determining the corresponding environmental data layer for each species according to the conditions required for species survival; step 2: collecting multi-source distribution of species Data; Step 3: Generate the prior distribution range map, distribution restriction area map and distribution preference area map of the species according to the surface data, point data, and descriptive data; Step 4: use the species point data and environmental data map Layers are used as the input data of the species distribution model, and the distribution model is calculated to obtain the species probability distribution map; Step 5: According to the prior distribution range map, known species occurrence points and species probability distribution map, determine the species distribution threshold, Generating a species binary distribution map; step 6: clipping or erasing the binary distribution map according to the prior distribution range map, distribution restriction area map and distribution preference area map to obtain a species distribution map. The method of the invention has universal applicability.

Description

technical field [0001] The invention relates to the technical field of biogeography research, in particular to a multi-source species distribution data processing method and device. Background technique [0002] The endangered status of a single species is often directly related to its spatial distribution. The species richness of a region depends on the spatial distribution data of many species in the region. Therefore, a key issue in ecology and conservation biology is to determine the spatial distribution of species. How to distribute (Yoan F, 2014), this is the basis for further evaluating the survival status of species and planning species protection measures. However, the field survey of species spatial distribution data requires high technical requirements, and consumes a lot of time and financial resources. Therefore, people's understanding of the geographical distribution of life on Earth is still very limited (Jetz, W et al, 2012). Except for the star species that...

AI Technical Summary

Problems solved by technology

However, this invention patent has the following defects: First, the method for determining the threshold of species distribution lacks basis, cannot be verified, and does not reflect the complementary effect of multi-source data; Adaptability, for species that lack habitat type data, this method cannot be used for distribution prediction

However, due to the different depths of basic research work of species, different species can obtain different habitat restriction or preference data.

The invention patent with application number 201711463990.2 only uses the habitat type to restrict, which has high limitations. On the one hand, species without this habitat selection data cannot be cropped using this method; on the other hand, no other environmental restrictions or environmental selection data are used, so further Improve the accuracy of the distribution map, without giving full play to the advantages of multi-source data

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