Path‐finding algorithm as a dispersal assessment method for invasive species with human‐vectored long‐distance dispersal event-Reference-Cited by-同舟云学术

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Path‐finding algorithm as a dispersal assessment method for invasive species with human‐vectored long‐distance dispersal event

Published:2022-04-11 Issue:6 Volume:28 Page:1214-1226
ISSN:1366-9516
Container-title:Diversity and Distributions
language:en
Short-container-title:Diversity and Distributions

Author:

Lee Sung‐Joo¹²^ORCID,Cho Hyojin¹,Choi Yuyoung³,Choi Won Il⁴,Chung Hye In³,Lim No Ol¹,Nam Youngwoo⁵,Jeon Seongwoo¹

Affiliation:

1. Division of Environmental Science & Ecological Engineering Korea University Seoul Korea

2. Environmental Assessment Group Korea Environment Institute Sejong Korea

3. OJEONG Resilience Institute Korea University Seoul Korea

4. Forest Ecology Division National Institute of Forest Science Seoul Korea

5. Division of Forest Diseases and Insect Pests National Institute of Forest Science Seoul Korea

Funder

Korea Environmental Industry and Technology Institute

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13524

Reference74 articles.

1. Road as a major driver for potential distribution of the invasive giant African land snail in Nepal

2. The application of ‘least-cost’ modelling as a functional landscape model

3. Insect vectors of the pinewood nematode: a review of the biology and ecology of Monochamus species

4. The geography of human-mediated dispersal

5. Gap-Crossing Decisions by the Red Squirrel, a Forest-Dependent Small Mammal

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accounting for the topology of road networks to better explain human‐mediated dispersal in terrestrial landscapes;Ecography;2023-12-12

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