Landscape-scale plant diversity evaluation method with time-space consistency

An evaluation method and a variety of technologies, applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as horizontal and vertical comparison, expansion, and impact assessment of limited service functions, achieving low cost and easy operation Effect

Pending Publication Date: 2021-12-17
HOHAI UNIV
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Problems solved by technology

[0003] The traditional plant diversity assessment is mostly based on the vegetation survey data of sample points. Due to the limitation of the number and distribution of sampling points, it is often difficult to e

Method used

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  • Landscape-scale plant diversity evaluation method with time-space consistency
  • Landscape-scale plant diversity evaluation method with time-space consistency
  • Landscape-scale plant diversity evaluation method with time-space consistency

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Embodiment 1

[0043] Take Poyang Lake Wetland, a typical wetland ecosystem, as an example.

[0044] figure 2 Spatial distribution map of typical plant communities in Poyang Lake Wetland from 1989 to 2016 interpreted by random forest method. The specific steps include downloading the 30m resolution Landsat TM / ETM / OLI images covering the entire study area during the vegetation growth period of Poyang Lake wetland (April-June in spring and October-December in autumn), sorting the cloud cover, and selecting the The remote sensing images with the least cloud cover, combined with the survey data of vegetation samples in the same period, established a random forest classifier to interpret the spatial distribution map of typical plant communities in Poyang Lake Wetland. and Nandi-reed community.

[0045] image 3 It is the spatial distribution map of Poyang Lake wetland catchment area / small watershed delineated according to the digital elevation model DEM. The specific steps are to conduct wat...

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Abstract

The invention discloses a landscape-scale plant diversity evaluation method with time-space consistency. The method comprises the following steps: S1, interpreting a medium-high resolution remote sensing image based on a random forest method, and obtaining a typical plant community spatial distribution diagram of a research area; s2, performing drainage basin analysis based on a digital elevation model (DEM) of the research area, and dividing the research area into a plurality of water collection areas or small drainage basins; s3, improving a plant diversity evaluation index of a sample point scale, replacing species counting with a species distribution area, and constructing a landscape-scale plant diversity evaluation index Di (x, y) with time-space consistency; and S4, calculating the landscape-scale plant diversity index of each small watershed of the research area, evaluating the overall plant diversity of the research area by using the landscape-scale plant diversity index, and analyzing the spatial-temporal change of the overall plant diversity. The method is suitable for plant diversity evaluation of regional scale long-time sequences, the operation method is simple and convenient, and popularization and application are facilitated.

Description

technical field [0001] The invention relates to the technical field of biodiversity evaluation, in particular to a landscape-scale plant diversity evaluation method with temporal and spatial consistency. Background technique [0002] The plant diversity in the ecosystem is the main component of its biodiversity, because vegetation not only plays an important role in the ecosystem as the main supplier of material energy, but also constitutes the main habitat of mammals, birds and other life forms, Therefore, changes in its attributes mean changes in the habitats of other organisms. Maintaining regional plant diversity is the key to maintaining ecosystem biodiversity, and scientific assessment of its plant diversity is also the key to revealing the overall level of regional biodiversity. [0003] The traditional plant diversity assessment is mostly based on the vegetation survey data of sample points. Due to the limitation of the number and distribution of sampling points, it ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/24323
Inventor 戴雪
Owner HOHAI UNIV
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