Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China

The national surveys on giant panda (Ailuropoda melanoleuca) population and habitat quality have shown a high-density population of this species in the Qinling Mountains, China. We investigated five adjacent nature reserves (NR), i.e., the key distribution area of giant pandas in the Qinling Mountai...

Full description

Bibliographic Details
Main Authors: Xuehua Liu, Lanmei Liu, Linna Liu, Xuelin Jin, Melissa Songer
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Ecology and Evolution
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2021.636937/full
id doaj-5a16d24859864f01adda132fc41448a0
record_format Article
spelling doaj-5a16d24859864f01adda132fc41448a02021-04-29T07:08:48ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2021-04-01910.3389/fevo.2021.636937636937Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, ChinaXuehua Liu0Lanmei Liu1Linna Liu2Xuelin Jin3Melissa Songer4State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, ChinaShaanxi Institute of Zoology, Xi’an, ChinaConservation Ecology Center, Smithsonian Conservation Biology Institute, Front Royal, VA, United StatesThe national surveys on giant panda (Ailuropoda melanoleuca) population and habitat quality have shown a high-density population of this species in the Qinling Mountains, China. We investigated five adjacent nature reserves (NR), i.e., the key distribution area of giant pandas in the Qinling Mountains, to model and identify the potential dispersal routes for giant pandas. We hypothesized that giant pandas will spread to neighboring areas when the population of the species keeps increasing. Habitat suitability was firstly evaluated based on environmental and disturbance factors. We then identified source and sink patches for giant pandas’ dispersal. Further, Minimum Cumulative Resistance (MCR) model was applied to calculate cost of movement. Finally, the Current Theory was adopted to model linkages between source and sink patches to explore potential dispersal routes of giant pandas. Our results showed that (1) the three large source patches and eight potential sink patches were identified; (2) the 14 potential corridors were predicted for giant pandas dispersing from source patches to the neighboring areas; (3) through the predicted corridors, the giant pandas in the source patches could disperse to the west, the south and the east sink patches. Our research revealed possible directional patterns for giant pandas’ dispersal in their key distribution area of the Qinling Mountains, and can provide the strong recommendations in policy and conservation strategies for improving giant panda habitat management in those identified sink patches and also potential dispersal corridors.https://www.frontiersin.org/articles/10.3389/fevo.2021.636937/fullgiant pandathe Qinling Mountainsdispersal routemodelingminimum cumulative resistanceCurrent Theory
collection DOAJ
language English
format Article
sources DOAJ
author Xuehua Liu
Lanmei Liu
Linna Liu
Xuelin Jin
Melissa Songer
spellingShingle Xuehua Liu
Lanmei Liu
Linna Liu
Xuelin Jin
Melissa Songer
Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China
Frontiers in Ecology and Evolution
giant panda
the Qinling Mountains
dispersal route
modeling
minimum cumulative resistance
Current Theory
author_facet Xuehua Liu
Lanmei Liu
Linna Liu
Xuelin Jin
Melissa Songer
author_sort Xuehua Liu
title Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China
title_short Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China
title_full Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China
title_fullStr Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China
title_full_unstemmed Modeling Potential Dispersal Routes for Giant Pandas in Their Key Distribution Area of the Qinling Mountains, China
title_sort modeling potential dispersal routes for giant pandas in their key distribution area of the qinling mountains, china
publisher Frontiers Media S.A.
series Frontiers in Ecology and Evolution
issn 2296-701X
publishDate 2021-04-01
description The national surveys on giant panda (Ailuropoda melanoleuca) population and habitat quality have shown a high-density population of this species in the Qinling Mountains, China. We investigated five adjacent nature reserves (NR), i.e., the key distribution area of giant pandas in the Qinling Mountains, to model and identify the potential dispersal routes for giant pandas. We hypothesized that giant pandas will spread to neighboring areas when the population of the species keeps increasing. Habitat suitability was firstly evaluated based on environmental and disturbance factors. We then identified source and sink patches for giant pandas’ dispersal. Further, Minimum Cumulative Resistance (MCR) model was applied to calculate cost of movement. Finally, the Current Theory was adopted to model linkages between source and sink patches to explore potential dispersal routes of giant pandas. Our results showed that (1) the three large source patches and eight potential sink patches were identified; (2) the 14 potential corridors were predicted for giant pandas dispersing from source patches to the neighboring areas; (3) through the predicted corridors, the giant pandas in the source patches could disperse to the west, the south and the east sink patches. Our research revealed possible directional patterns for giant pandas’ dispersal in their key distribution area of the Qinling Mountains, and can provide the strong recommendations in policy and conservation strategies for improving giant panda habitat management in those identified sink patches and also potential dispersal corridors.
topic giant panda
the Qinling Mountains
dispersal route
modeling
minimum cumulative resistance
Current Theory
url https://www.frontiersin.org/articles/10.3389/fevo.2021.636937/full
work_keys_str_mv AT xuehualiu modelingpotentialdispersalroutesforgiantpandasintheirkeydistributionareaoftheqinlingmountainschina
AT lanmeiliu modelingpotentialdispersalroutesforgiantpandasintheirkeydistributionareaoftheqinlingmountainschina
AT linnaliu modelingpotentialdispersalroutesforgiantpandasintheirkeydistributionareaoftheqinlingmountainschina
AT xuelinjin modelingpotentialdispersalroutesforgiantpandasintheirkeydistributionareaoftheqinlingmountainschina
AT melissasonger modelingpotentialdispersalroutesforgiantpandasintheirkeydistributionareaoftheqinlingmountainschina
_version_ 1721501492162068480