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Dryad

Human activities data in Wolong National Nature Reserve

Cite this dataset

Zhang, Hu et al. (2024). Human activities data in Wolong National Nature Reserve [Dataset]. Dryad. https://doi.org/10.5061/dryad.kh18932fm

Abstract

Wolong National Nature Reserve (hereafter Wolong) is an internationally renowned giant panda (Ailuropoda melanoleuca) reserve. Meanwhile, the reserve is also a popular tourist destination in Giant Panda National Park. It encompasses two major towns, Wolong and Gengda, home to approximately 5,000 residents. Agriculture, tourist economy, and livestock grazing remain important income sources for the residents. Here, we combine ongoing survey data on human activity areas in Wolong and make two layers of major human activities in Wolong. The two datasets are human pressure and livestock grazing. Among them, the human pressure layer combines roads and settlement data. We use this dataset to reflect the extent of human activities in Wolong and as an important indicator to assess its interference with wildlife.

README: Human Activities Data in Wolong National Nature Reserve

https://doi.org/10.5061/dryad.kh18932fm

This dataset is human activities in Wolong National Nature Reserve (hereafter Wolong), including a human pressure layer and a livestock grazing layer. We use these two datasets to reflect the human activity areas in Wolong.

Description of the data and file structure

The human pressure factor is formed by integrating road points and residential points. Road points are derived from placing points every 1,000 m on major roads. The residential points are derived from the GPS data we collected from Wolong in 2016, and also through data we obtained during surveys in Wolong. In addition, we used Google Earth to align the residential points.

The livestock grazing points were extracted from the 4th National Giant Panda Survey. Furthermore, we also used data obtained during surveys in Wolong to compare the livestock grazing distribution points to ensure the range was as accurate as possible.

The production methods are all Euclidean distance from the grid to points calculated by ArcGIS 10.8. We resampled each layer at a 30 m resolution and saved it in ASC format. Thus, in the files we uploaded, a file called Human pressure.asc for the human pressure layer, and a file called Livestock grazing.asc for the livestock grazing layer. The reference coordinate system of both files is WGS_1984_UTM_Zone_48N.

Code/Software

Data production mainly relies on ArcGIS 10.8, and both ASC files can also be opened with ArcGIS 10.8.

Funding

National Natural Science Foundation of China, Award: U21A20193

National Natural Science Foundation of China, Award: 42071279

National Natural Science Foundation of China, Award: 32270551