41c1c15f-fff8-45a8-a781-b1b24d81b9cc https://ipt.taibif.tw/resource?r=lesser_khingan_invasives Yutong ZHANG Northeast Forestry University Master's Student

Harbin CN

13113450479 wanghongfeng90@163.com Hong-feng Wang Northeast Forestry University Senior Engineer

Harbin CN

13113450479 wanghongfeng90@163.com 2025-11-01 eng This dataset documents the presence of alien invasive plant species collected through systematic field surveys conducted in the Xiaoxing'an Mountains region of Heilongjiang Province, China, between July 2022 and July 2023. The collection is comprised of 4,408 unique sampling event records and 4,773 species occurrence records. The data follows the Darwin Core Archive standard and is published as a Sampling Event Core, providing detailed information on sampling efforts, precise geographical coordinates (with a spatial accuracy of 10 meters), temporal coverage, and species composition. The dataset is a vital resource for regional ecological risk assessment, species distribution modeling, and the management of invasive species in this crucial temperate forest ecosystem. Sampling event Alien Invasive Species Xiaoxing'an Mountains Occurrence Data Vegetation Plot GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction. Xiaoxing'an Mountains, China 125.611 130.781 52.056 45.198 2022-06-15 2023-09-26 family Onagraceae family Poaceae order Malvales order Rosales order Fabales family Vitaceae order Solanales family Convolvulaceae class Magnoliopsida family Malvaceae family Cannabaceae family Fabaceae family Solanaceae order Caryophyllales order Asterales order Poales family Amaranthaceae order Malpighiales family Asteraceae phylum Angiospermae order Myrtales family Euphorbiaceae order Vitales kingdom Plantae unkown Hongfeng WANG Northeast Forestry University Senior Engineer

Harbin CN

13113450479 zhang__yt@163.com Using high-precision GPS to locate each sampling event, recording the scientific name, date, and percent cover of invasive species. Entering field data into spreadsheets, checking for transcription errors, and standardizing scientific names. Formatting cleaned data into the Darwin Core (DwC) structure, separating into Event Core (event information) and Occurrence Extension (occurrence information). Xiaoxing'an Mountains region, Heilongjiang Province, China, focusing on core forest areas and roadside environments. Grid Survey: The study area is divided into 20km × 20km grids, focusing on areas with complex vegetation. A 300m × 300m survey is conducted around each grid point to locate invasive plants. Targeted Plot Setup and Quantification: If invasive plants are found during the reconnaissance, plots are set up for further investigation. The plot size depends on the type of invasive species: Herbaceous plants: 1m × 1m quadrats are used to record species and coverage. Shrub plants: 5m × 5m quadrats are used for the same purpose. The reconnaissance also recorded occurrence details of all invasive plants within the 300m × 300m area. Transect Survey: Sampling sections of road, free from major disturbances, are chosen for at least 5km stretches. A sample point is established every 1km along one side of the road. A reconnaissance survey is conducted at each sample point, and quadrats are placed randomly to record the species and cover of invasive plants. 2025-10-18T13:46:11.985+00:00 dataset ZHANG Y (2025). Distribution and Abundance Dataset of Invasive Plants in the Xiaoxing'an Mountains, Heilongjiang (2022–2023). Version 1.5. Northeast Forestry University. Samplingevent dataset. https://ipt.taibif.tw/resource?r=lesser_khingan_invasives&v=1.5 41c1c15f-fff8-45a8-a781-b1b24d81b9cc/v1.5.xml