Dataset Information

A high-resolution gridded grazing dataset of grassland ecosystem on the Qinghai-Tibet Plateau in 1982-2015.

ABSTRACT: Grazing intensity, characterized by high spatial heterogeneity, is a vital parameter to accurately depict human disturbance and its effects on grassland ecosystems. Grazing census data provide useful county-scale information; however, they do not accurately delineate spatial heterogeneity within counties, and a high-resolution dataset is urgently needed. Therefore, we built a methodological framework combining the cross-scale feature extraction method and a random forest model to spatialize census data after fully considering four features affecting grazing, and produced a high-resolution gridded grazing dataset on the Qinghai-Tibet Plateau in 1982-2015. The proposed method (R² = 0.80) exhibited 35.59% higher accuracy than the traditional method. Our dataset were highly consistent with census data (R² of spatial accuracy = 0.96, NSE of temporal accuracy = 0.96) and field data (R² of spatial accuracy = 0.77). Compared with public datasets, our dataset featured a higher temporal resolution (1982-2015) and spatial resolution (over two times higher). Thus, it has the potential to elucidate the spatiotemporal variation in human activities and guide the sustainable management of grassland ecosystem.

SUBMITTER: Meng N

PROVIDER: S-EPMC9895079 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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A high-resolution gridded grazing dataset of grassland ecosystem on the Qinghai-Tibet Plateau in 1982-2015.

Meng Nan N Wang Lijing L Qi Wenchao W Dai Xuhuan X Li Zuzheng Z Yang Yanzheng Y Li Ruonan R Ma Jinfeng J Zheng Hua H

Scientific data 20230202 1

Grazing intensity, characterized by high spatial heterogeneity, is a vital parameter to accurately depict human disturbance and its effects on grassland ecosystems. Grazing census data provide useful county-scale information; however, they do not accurately delineate spatial heterogeneity within counties, and a high-resolution dataset is urgently needed. Therefore, we built a methodological framework combining the cross-scale feature extraction method and a random forest model to spatialize cens ...[more]

PMID: 36732526

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Dataset Information

A high-resolution gridded grazing dataset of grassland ecosystem on the Qinghai-Tibet Plateau in 1982-2015.

Publications

A high-resolution gridded grazing dataset of grassland ecosystem on the Qinghai-Tibet Plateau in 1982-2015.

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