Method for identifying trade-off and cooperative spatial relationship between ecosystem services

Abstract

The invention relates to a method for identifying a trade-off and cooperative spatial relationship between ecosystem services. The method comprises the following steps: S1, taking a to-be-identified region range of the trade-off and cooperative relationship between the ecosystem services as a spherical subdivision grid boundary; S2, according to the spatial grid correspondence of every two ecological system service type accounting results in each grid unit, respectively extracting ecological system service attribute quantized values in grids, and constructing a two-dimensional array data set; S3, calculating Pearson correlation coefficients of the two-dimensional array data sets in the grid units one by one through Python, assigning the coefficients serving as attribute values to the corresponding grid units, and forming ecosystem service correlation spherical subdivision grid vectorization data; and S4, on the basis of the vectorized data of the correlation spherical subdivision grid between the ecosystem services, generating an LISA clustering graph by adopting a single-variable local Moran's I and taking the correlation coefficient between the ecosystem service types as a variable, defining a non-salient region in the LISA clustering graph as an inter-ecosystem service compatible region, defining a high-high region and a low-low region as a cooperative region, and defining a high-low region and a low-high region as a tradeoff region.

Description

technical field [0001] The invention relates to a method for identifying tradeoffs and collaborative spatial relationships between ecosystem services. Background technique [0002] Ecosystem services are the sum of various products and services that humans obtain directly or indirectly from natural ecosystems through ecosystem functions, and are a bridge connecting the natural environment and human well-being; there are close, Complicated interaction and connection, and in a certain time and space, it is manifested as a trade-off relationship, a synergistic relationship of synchronous increase and decrease, and a highly adaptive compatibility relationship; carry out trade-offs between ecosystem services and identification of synergistic spatial relationships , which is conducive to maximizing the benefits of ecosystem services and ensuring the sustainable supply of ecosystem services. [0003] In recent years, statistical description and spatial mapping have been the main m...

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Problems solved by technology

[0003] In recent years, statistical description and spatial mapping have been the main methods for the trade-off and collaborative identification of ecosystem services; statistical description can quantitatively analyze the evolution of the relationship between ecosystem services on a time scale, but the lack of spatial visualization identification is not conducive to formulating differentiated models. Ecosystem Service Intensity to Improve Management Strategies

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