Integrative Biology Journals

Plant Diversity ›› 2025, Vol. 47 ›› Issue (03): 403-414.DOI: 10.1016/j.pld.2025.02.001

• Articles • Previous Articles     Next Articles

Impacts of road networks on the geography of floristic collections in China

Jingyang Hea,b, Wenjing Yanga,b, Qinghui Youc, Qiwu Hub, Mingyang Congc, Chao Tiana,b, Keping Mad   

  1. a. Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education, Nanchang 330022, China;
    b. School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;
    c. Key Laboratory of Biodiversity Conservation and Bioresource Utilization of Jiangxi Province, College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China;
    d. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Beijing 100093, China
  • Received:2024-11-13 Revised:2025-02-15 Online:2025-05-21 Published:2025-05-25
  • Contact: Wenjing Yang,E-mail:yangwenjing@jxnu.edu.cn
  • Supported by:
    This research was funded by National Natural Science Foundation of China (32460276, 32060275), and Jiangxi Provincial Natural Science Foundation (20232BAB203058, 20242BAB27001).

Impacts of road networks on the geography of floristic collections in China

Jingyang Hea,b, Wenjing Yanga,b, Qinghui Youc, Qiwu Hub, Mingyang Congc, Chao Tiana,b, Keping Mad   

  1. a. Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education, Nanchang 330022, China;
    b. School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;
    c. Key Laboratory of Biodiversity Conservation and Bioresource Utilization of Jiangxi Province, College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China;
    d. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Beijing 100093, China
  • 通讯作者: Wenjing Yang,E-mail:yangwenjing@jxnu.edu.cn
  • 基金资助:
    This research was funded by National Natural Science Foundation of China (32460276, 32060275), and Jiangxi Provincial Natural Science Foundation (20232BAB203058, 20242BAB27001).

Abstract: Biological collections are critical for the understanding of species distributions and for formulating biodiversity conservation strategies. However, biological collections are susceptible to various biases, including the “road-map effect”, meaning that the geography of biological collections can be influenced by road networks. Here, using species occurrence records derived from 921,233 plant specimens, we quantified the intensity of the “road-map effect” on floristic collections of China, and investigated its relationships with various environmental and socio-economic variables. Species occurrence records mainly distributed in major mountain ranges, while lowlands were underrepresented. The distance of species occurrence records to the nearest road decreased from 19.54 km in 1960s to 3.58 km in 2010s. These records showed significant clustering within 5 km and 10 km buffer zones of roads. The road density surrounding these records was significantly higher than that in random patterns. Collectively, our results confirmed a significant “road-map effect” in the floristic collections of China, and this effect has substantially intensified from the 1960s to the 2010s, even after controlling for the impact of road network expansion. Topographic, climatic and socio-economic variables that determine regional species diversity, vegetation cover and human impact on vegetation played crucial roles in predicting the intensity of the “road-map effect”. Our findings indicate that biological surveys have become increasingly dependent on road networks, a trend rarely reported in published studies. Future floristic surveys in China should prioritize the lowland areas that have experienced stronger human disturbances, as well as remote areas that may harbor more unique and rare species.

Key words: Biological sampling, Environmental and socio-economic variables, Plants, Road-map effect, Species occurrence records

摘要: Biological collections are critical for the understanding of species distributions and for formulating biodiversity conservation strategies. However, biological collections are susceptible to various biases, including the “road-map effect”, meaning that the geography of biological collections can be influenced by road networks. Here, using species occurrence records derived from 921,233 plant specimens, we quantified the intensity of the “road-map effect” on floristic collections of China, and investigated its relationships with various environmental and socio-economic variables. Species occurrence records mainly distributed in major mountain ranges, while lowlands were underrepresented. The distance of species occurrence records to the nearest road decreased from 19.54 km in 1960s to 3.58 km in 2010s. These records showed significant clustering within 5 km and 10 km buffer zones of roads. The road density surrounding these records was significantly higher than that in random patterns. Collectively, our results confirmed a significant “road-map effect” in the floristic collections of China, and this effect has substantially intensified from the 1960s to the 2010s, even after controlling for the impact of road network expansion. Topographic, climatic and socio-economic variables that determine regional species diversity, vegetation cover and human impact on vegetation played crucial roles in predicting the intensity of the “road-map effect”. Our findings indicate that biological surveys have become increasingly dependent on road networks, a trend rarely reported in published studies. Future floristic surveys in China should prioritize the lowland areas that have experienced stronger human disturbances, as well as remote areas that may harbor more unique and rare species.

关键词: Biological sampling, Environmental and socio-economic variables, Plants, Road-map effect, Species occurrence records