Multi-source species distribution data processing method and device

Abstract

The invention provides a multi-source species distribution data processing method, which comprises the following steps of: 1, collecting environmental data of a species distribution area, and determining an environmental data layer corresponding to each species according to conditions required by species survival; 2, collecting species multi-source distribution data; 3, generating a priori distribution range graph, a distribution restriction area graph and a distribution preference area graph of species according to the planar data, the punctiform data and the descriptive data; 4, respectively taking the species point data and the environmental data layer as input data of a species distribution model, and calculating the distribution model to obtain a species probability distribution diagram; 5, determining a species distribution threshold according to the prior distribution range graph, a known species occurrence point and a species probability distribution graph, and generating a species binary distribution graph; and 6, cutting or erasing the binary distribution diagram according to the prior distribution range diagram, the distribution restriction region diagram and the distribution preference region diagram to obtain a species distribution diagram. The method disclosed by the invention has universality.

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...

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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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