Integrated evaluation on multi-scale land surface temperature grading and bio-temperature suitability—a case study in Tianjin China

ABSTRACT

The suitable thermal environment is a prerequisite for biological survival. In order to evaluate the change of land surface temperature (LST) and its effect on organisms, in this study, the Land satellite (Landsat) series data was used to invert the LST from 1988 to 2018 in Tianjin. The main surface features were extracted from the remotely sensed images using normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI) and normalized difference impervious surface index (NDISI). A multi-scale temperature grading method based on biological heat reaction was proposed to classify the LST. In terms of the suitability of the organism to temperature, the land surface temperature suitability (LSTS) model was established based on the niche suitability analysis method, and the suitability of organisms to temperature was evaluated based on the model. In the aspect of land area change, both the land surface temperature area (LSTA) model and the average relative contribution (ARC) were proposed to comprehensively evaluate the impact of the area change of surface features on LST. The results indicated that the temperature suitability of most organisms had decreased. The change of LST was related to the comprehensive change of surface features. In conclusion, the rise of LST had adverse effect on most organisms in Tianjin. Limiting the occupation of water area and cultivated land may inhibit the continuous rise in LST. Besides, the evaluation method novelty proposed in this study could provide new ideas to study the development trend of spatial objects in their environment thus would be applied widely.

Author contributions

All of the authors contributed extensively to the work. Jinlong Zang participated in the model construction and wrote the paper. Qiaozhen Guo proposed key ideas and a large number of paper revision work. Xiaoxu Wu analyzed the data and helped complete the modification of the language. Other authors participated in the collection and processing of the data.

Disclosure statement

The authors declare no conflict of interest.

Additional information

Funding

This work was supported by the Scientific Research Project of Tianjin Municipal Education Commission, China (No. 2018KJ164), the Natural Science Foundation of Tianjin, China (No.18JCYBJC90900).