Simulation of Soil Temperature under Plateau Zokor’s (Eospalax baileyi) Disturbance in the Qinghai Lake Watershed, Northeast Qinghai–Tibet Plateau

Xie, Ting; Ma, Yu-Jun

doi:10.3390/ani13172703

Cited by 3 publications

(1 citation statement)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ye 21 et al showed that plant species richness increased signi cantly with the molehills' disturbance, which is in line with this paper's ndings. This is because with the succession of molehills, the number and species of aboveground vegetation on the molehills increased 22 , the species richness of grasses and perennial weeds increased, and the community composition and the degree of co-occurrence of species in the communities increased over time 23 .…”

Section: Discussionmentioning

confidence: 99%

hyperspectral classification of plateau zokor molehills at different successional stages in alpine meadows

qi,

liu,

et al. 2024

Preprint

View full text Add to dashboard Cite

The distribution of molehills of the plateau zokor (Eospalax fontanierii) in alpine meadows and the age of their formation influence the structure and function of alpine meadow ecosystems. To realize a remote sensing survey of large grassland molehills, in this experiment, the Plateau zokor molehills in alpine meadows with heavy rodent infestation in Cooperative City, Gannan Tibetan Autonomous Prefecture, Gansu Province, classified according to successional stage based on soil characteristics and vegetation conditions, and categorized them into one-year-old molehills (ZM0), two-year-old molehills (ZM1), three-year-old molehills (ZM2), and perennial molehills (ZMM). The normal vegetation of the meadows adjacent to the molehills was used as a control (CK) to study the distribution status of the mouse and the control. The control (CK) was used to study the total cover, height and biomass of the vegetation of the molehills and the control group. The spectral data of the Zokor molehills and the control group at different stages of succession were collected using the ASD spectrometer to analyze the total cover, height and biomass of the vegetation of the molehills as well as the vegetation of Patrick, Shannon-Wiener, Pielou and other species. The correlation between total cover, height, biomass, Patrick, Shannon-Wiener and Pielou vegetation traits and spectral vegetation indices was analyzed, and multiple stepwise regression and random forest (RF) inversion models of vegetation traits were constructed. The results of the experiment showed that: 1) with the increase of the successional period of molehills, their Pielou, Patrick, height, biomass and the total cover showed an increasing trend, and except for Pielou, the differences with the control group were significant (P<0.05); 2) the original spectral characteristics of the surface of molehills were different in different successional periods, and the predictive ability of the multivariate stepwise regression model for the total cover was the best; the predictive ability of the random forest inversion model was the best; and the random forest modeling was based on the relationship between vegetation characteristics and spectral data of zocores in different successional periods. Total cover; Random Forest could Patrick (R2=0.537, RMSE=0.823), height (R2=0.459, RMSE=0.143), total cover (R2=0.635, RMSE=24.287), biomass (R2 = 0.948, RMSE = 15.173); TCARI (Enhanced Chlorophyll Absorption Vegetation Index) plays an important role in the inversion of Patrick, height and total cover, and SR (the ratio of NIR/R is known as Simple Ratio) plays an important role in the inversion of biomass.3) The use of vegetation spectral indices to classify molehills can distinguish molehills in different successional stages, and their out-of-bag data OOB is 23.91%, SR and TCARI are important spectral indices for classification modeling of molehills. The above results provide a theoretical basis for remote sensing methods for the classification of plateau zokor moles, and can be used to analyze the succession of zokor moles through the random forest model using the vegetation indices SR and TCARI, which can help us analyze the succession of plateau zokor more quickly and thus maintain the balance of grassland ecosystems.

show abstract

Section: Discussionmentioning

confidence: 99%

hyperspectral classification of plateau zokor molehills at different successional stages in alpine meadows

qi,

liu,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Grazing reduced vegetation biomass and root nutrition related to plateau zokor creating mounds in summer on the Tibetan Plateau

Zhang,

Chu,

Hua

et al. 2024

Ecological Engineering

View full text Add to dashboard Cite

Hyperspectral Remote Sensing Combined with Ground Vegetation Surveys for the Study of the Age of Rodent Mounds

Qi,

Liu,

et al. 2024

Agriculture

View full text Add to dashboard Cite

Background: Rodents severely damage the ecological environment of grasslands, and rodent mounds of different ages require distinct management strategies. Understanding the age of these mounds aids in formulating targeted restoration measures, which can enhance grassland productivity and biodiversity. Current surveys of rodent mounds rely on ground exposure and mound height to determine their age, which is time-consuming and labor-intensive. Remote sensing methods can quickly and easily identify the distribution of rodent mounds. Existing remote sensing images use ground exposure and mound height for identification but do not distinguish between mounds of different ages, such as one-year-old and two-year-old mounds. According to the existing literature, rodent mounds of different ages exhibit significant differences in vegetation structure, soil background, and plant diversity. Utilizing a combination of vegetation indices and hyperspectral data to determine the age of rodent mounds aims to provide a better method for extracting rodent hazard information. This experiment investigates and analyzes the age, distribution, and vegetation characteristics of rodent mounds, including total coverage, height, biomass, and diversity indices such as Patrick, Shannon–Wiener, and Pielou. Spectral data of rodent mounds of different ages were collected using an Analytical Spectral Devices field spectrometer. Correlation analysis was conducted between vegetation characteristics and spectral vegetation indices to select key indices, including NDVI670, NDVI705, EVI, TCARI, Ant, and SR. Multiple stepwise regression and Random Forest (RF) inversion models were established using vegetation indices, and the most suitable model was selected through comparison. Random Forest modeling was conducted to classify plateau zokor rat mounds of different ages, using both vegetation characteristic indicators and vegetation indices for comparison. The rodent mound classification models established using vegetation characteristic indicators and vegetation indices through Random Forest could distinguish rodent mounds of different ages, with out-of-bag error rates of 36.96% and 21.74%, respectively. The model using vegetation indices performed better. Conclusions: (1) Rodent mounds play a crucial ecological role in alpine meadow ecosystems by enhancing plant diversity, biomass, and the stability and vitality of the ecosystem. (2) The vegetation indices SR and TCARI are the most influential in classifying rodent mounds. (3) Incorporating vegetation indices into Random Forest modeling facilitates a precise and robust remote sensing interpretation of rodent mound ages, which is instrumental for devising targeted restoration strategies.

show abstract

Simulation of Soil Temperature under Plateau Zokor’s (Eospalax baileyi) Disturbance in the Qinghai Lake Watershed, Northeast Qinghai–Tibet Plateau

Cited by 3 publications

References 46 publications

hyperspectral classification of plateau zokor molehills at different successional stages in alpine meadows

hyperspectral classification of plateau zokor molehills at different successional stages in alpine meadows

Grazing reduced vegetation biomass and root nutrition related to plateau zokor creating mounds in summer on the Tibetan Plateau

Hyperspectral Remote Sensing Combined with Ground Vegetation Surveys for the Study of the Age of Rodent Mounds

Contact Info

Product

Resources

About