TY - JOUR
T1 - Identifying transboundary conservation priorities in a biodiversity hotspot of China and Myanmar
T2 - Implications for data poor mountainous regions
AU - Yang, Yin
AU - Ren, Guopeng
AU - Li, Wenjuan
AU - Huang, Zhipang
AU - Lin, Aung Ko
AU - Garber, Paul A.
AU - Ma, Chi
AU - Yi, Shaoliang
AU - Momberg, Frank
AU - Gao, Ying
AU - Wang, Xinwen
AU - Li, Guangsong
AU - Behie, Alison
AU - Xiao, Wen
N1 - Funding Information:
To conserve the biodiversity of this region, the Chinese Government established the 4,055?km2 Gaoligongshan National Nature Reserve (GLGMNNR) in 1983 (Fig. 1). On the Myanmar side, the area partially falls into the Northern Forest Complex (25,800?km2 of intact mountain forest along the international border with China and India), which is one of 15 national Priority Corridors/Priority Sites for protected areas (PA) and conservation investment (National Biodiversity Strategy and Action Plan Myanmar, 2011). At present, only 22.8% of the Northern Forest Complex has been placed under conservation protection (Fig. 1). With the support of Fauna & Flora International (FFI), the Government of Myanmar (MoNREC) is working to establish a new national park in Imawbum, Sawlaw Township, Northeastern Kachin State to protect the habitats exploited by the black snub-nosed monkey (Meyer et al., 2017). Once established, this new national park will connect to the GLGMNNR (China) at the Pianma Township of Lushui County, Yunnan. Despite this initiative, a gap in conservation protection still exists, which extends from the east bank of N? Mai Kha River to the main ridge of Gaoligongshan Mountains, on the Myanmar side of the border (Fig. 1). Forests and endangered species within this lacuna face the imminent threat of wildlife trade (Meyer et al., 2017; Zhang et al., 2017) and deforestation for slash-and-burn agriculture, timber, mining, and infrastructure development. Internal conflicts and insurgencies in the area also have contributed to illegal logging and the wildlife trade (Geissmann et al., 2011; EIA, 2015). Thus, both the Chinese and Myanmar governments, as well as international organizations are committed to strengthening the conservation protection of existing reserves in the GLGMs, and establishing new PAs along their northern border. However, to move these conservation management priorities forward, an accurate assessment of biodiversity distribution across the GLGMs is needed (Basnet et al., 2017).This research was funded by the National Science Foundation of China (31560599, 31860164 and 31860168), Zoological Society for the Conservation of Species and Populations (Germany, Rhinopithecus.MMR. 2015), Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK0401), the Australian National University Fieldwork Funding for Higher Degree Research (HDR) Students (R61250FW), and ANU Vice-Chancellor's HDR Travel Grant (4885859), Program for Backup Talents of Young Academic and Technical Leaders in Yunnan Province (2015HB047). PAG wishes to acknowledge Chrissie, Sara, and Jenni for their guidance and support. This work is dedicated to Professor Colin Groves (1942?2017), who gave strong academic support to this project. Declarations of interest: none.
Funding Information:
This research was funded by the National Science Foundation of China ( 31560599 , 31860164 and 31860168 ), Zoological Society for the Conservation of Species and Populations (Germany, Rhinopithecus.MMR. 2015), Second Tibetan Plateau Scientific Expedition and Research Program ( 2019QZKK0401 ), the Australian National University Fieldwork Funding for Higher Degree Research (HDR) Students ( R61250FW ), and ANU Vice-Chancellor's HDR Travel Grant ( 4885859 ), Program for Backup Talents of Young Academic and Technical Leaders in Yunnan Province ( 2015HB047 ). PAG wishes to acknowledge Chrissie, Sara, and Jenni for their guidance and support. This work is dedicated to Professor Colin Groves (1942–2017), who gave strong academic support to this project. Declarations of interest: none.
Publisher Copyright:
© 2019 The Authors
PY - 2019/10
Y1 - 2019/10
N2 - Difficult to study species that inhabit inaccessible terrain, present significant challenges in obtaining accurate ecological, distributional, and conservation information. To address these challenges, we used an effective set of time- and cost-efficient methods including interview-based surveys assisted by Google earth 3D maps to document the distributional range of 32 native animal taxa in the biodiverse but difficult to access Gaoligong Mountains (GLGMS), located on the northern Sino-Myanmar Border. Five threatened flagship species, including the black snub-nosed monkey (Rhinopithecus strykeri), the Skywalker hoolock gibbon (Hoolock tianxing), Shortridge's langur (Trachypithecus shortridgei), Sclater's monal (Lophophorus sclateri) and the Mishmi takin (Budorcas taxicolor) were selected for intensive surveys and used as surrogate taxa to study community biodiversity. Field surveys of each species were conducted to determine their presence/absence and to confirm the reliability of species distribution data obtained from interview-based surveys. Multicriteria Decision Analyses were used along with data on habitat suitability (MAXENT) to prioritize transboundary conservation areas. Our results indicate that approximately 83.4% (10,398.7 km2) of the remaining habitat with high biodiversity conservation value in the GLGMs is unprotected. This includes six large zones located along the northern Sino-Myanmar border, separated by rivers and human settlements. These areas should be designated as a transboundary World Nature Heritage Site, national parks, or wildlife sanctuaries. This study presents a reliable, rapid and integrative method for developing informed policies for conservation prioritization in data poor areas, which can be applied successfully to assess conservation priorities in other mountainous regions where obtaining data on biodiversity is difficult.
AB - Difficult to study species that inhabit inaccessible terrain, present significant challenges in obtaining accurate ecological, distributional, and conservation information. To address these challenges, we used an effective set of time- and cost-efficient methods including interview-based surveys assisted by Google earth 3D maps to document the distributional range of 32 native animal taxa in the biodiverse but difficult to access Gaoligong Mountains (GLGMS), located on the northern Sino-Myanmar Border. Five threatened flagship species, including the black snub-nosed monkey (Rhinopithecus strykeri), the Skywalker hoolock gibbon (Hoolock tianxing), Shortridge's langur (Trachypithecus shortridgei), Sclater's monal (Lophophorus sclateri) and the Mishmi takin (Budorcas taxicolor) were selected for intensive surveys and used as surrogate taxa to study community biodiversity. Field surveys of each species were conducted to determine their presence/absence and to confirm the reliability of species distribution data obtained from interview-based surveys. Multicriteria Decision Analyses were used along with data on habitat suitability (MAXENT) to prioritize transboundary conservation areas. Our results indicate that approximately 83.4% (10,398.7 km2) of the remaining habitat with high biodiversity conservation value in the GLGMs is unprotected. This includes six large zones located along the northern Sino-Myanmar border, separated by rivers and human settlements. These areas should be designated as a transboundary World Nature Heritage Site, national parks, or wildlife sanctuaries. This study presents a reliable, rapid and integrative method for developing informed policies for conservation prioritization in data poor areas, which can be applied successfully to assess conservation priorities in other mountainous regions where obtaining data on biodiversity is difficult.
KW - Conservation planning
KW - Flagship species
KW - Local ecological knowledge
KW - MAXENT
KW - Multi-criteria decision analysis
KW - Transboundary conservation
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U2 - 10.1016/j.gecco.2019.e00732
DO - 10.1016/j.gecco.2019.e00732
M3 - Article
AN - SCOPUS:85070070989
SN - 2351-9894
VL - 20
JO - Global Ecology and Conservation
JF - Global Ecology and Conservation
M1 - e00732
ER -