2023
DOI: 10.3389/fevo.2023.1186627
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Optimizing the distribution pattern of species under climate change: the protection and management of Phellodendron amurense in China

Boyan Zhang,
Hui Zou,
Bingrui Chen
et al.

Abstract: ObjectivePhellodendron amurense, a special species in Northeast Asia, is the source of the wild medicinal Phellodendri Amurensis Cortex, the second-level key protection in China. Because of its dual value of medicine and timber, it has been cut in large quantities, resulting in a sharp decline in wild resources. It has been listed as a national first-class rare tree species. Here, we aim to plan protection area and wild tending area for Chinese P. amurense in the context of climate change.MethodIn this study, … Show more

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Cited by 5 publications
(5 citation statements)
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References 84 publications
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“…in northeastern China have revealed instances of habitat fragmentation within regional plant habitats. As landscapes progressively transition towards human-dominated land use, the spatial cohesion of plant habitats may continue to diminish [ 17 , 45 ].…”
Section: Discussionmentioning
confidence: 99%
“…in northeastern China have revealed instances of habitat fragmentation within regional plant habitats. As landscapes progressively transition towards human-dominated land use, the spatial cohesion of plant habitats may continue to diminish [ 17 , 45 ].…”
Section: Discussionmentioning
confidence: 99%
“…Due to its complex vertical structure, forest vegetation has a strong ability of soil and water conservation 55 , 56 . However, there is evidence that with the worsening of global climate change, the temperate broad-leaves forest in NC has a tendency to gradually migrate to the boreal coniferous forest in Northwest China 57 59 . During this process, forest vegetation in some areas may experience reduced overall vegetation cover due to unsuitable climate and species migration.…”
Section: Discussionmentioning
confidence: 99%
“…By using the core area zonation algorithm in ZONATION4.0 software ( https://www.helsinki.fi/ ), the layers of the high suitable areas in different climate scenarios in the grass stability region were superimposed. Each layer was assigned a weight of 1, while other parameters were set to default values 46 , 47 . The natural discontinuity method was used to classify the output layers from 0 to 1, and the wild tending areas with low, medium, and high suitability of T. chinense were obtained.…”
Section: Methodsmentioning
confidence: 99%