Publications
Notes on Polycaena sakaii Sugiyama, 2015 with a new subspecies described from Sichuan, China (Lepidoptera: Riodinidae)
A new subspecies of the butterfly Polycaena sakaii, named P. s. fani, has been identified from Mt. Siguniang in Sichuan, China, based on distinct morphological and molecular differences. This discovery highlights significant genetic divergence within the species, contributing to our understanding of its evolutionary history. The study provides detailed descriptions of adult specimens and male genitalia, along with a phylogenetic analysis and distributional map. These findings underscore the importance of Mt. Siguniang as a biodiversity hotspot within the Sichuan Giant Panda Sanctuaries.
Oenopia gonggarensis Jing 1992
Researchers have documented the morphological characteristics and distribution of Oenopia gonggarensis, a beetle species endemic to China's Sichuan and Yunnan provinces, including its Sichuan Giant Panda Sanctuary habitats. The study describes its distinct features: an oval body with variable elytral spotting patterns, black ventral surfaces (except for yellowish-white hypomeron and epipleura), and unique male genitalia. Observations from Jiajin Mountain (2330 m) and Yunnan's Lanping region reveal this species' ecological presence in panda sanctuaries, contributing to biodiversity inventories critical for conservation efforts.
Oenopia lanpingensis Jing 1992
A new morphological description of the beetle species Oenopia lanpingensis, previously documented from Yunnan and Sichuan provinces in China, reveals distinct coloration patterns, including a black pronotum with yellowish-white lateral margins, orange-red elytra with black sutural margins, and yellowish-brown ventral markings. The study, based on field collections from 2006 to 2007, provides detailed measurements (3.1–4.6 mm in length) and illustrations of the species' abdomen and female genitalia, confirming its distribution across high-altitude regions (2330–2600 m) within Sichuan's Jiajin Mountains. This work contributes to the taxonomic understanding of Oenopia beetles, with potential implications for biodiversity studies in these ecologically significant areas.
Dietary drivers of gut microbiota diversity and function in wildlife of Wolong Nature Reserve: a metagenomic study
A metagenomic study reveals significant differences in gut microbiota composition and function between herbivores and carnivores in the Wolong Nature Reserve, with diet acting as a primary driver. Herbivores exhibited higher microbial diversity and were enriched in cellulose-degrading bacteria like Ruminococcus champanellensis, while carnivores showed higher lipid metabolism and protein degradation, with an abundance of Rhodococcus and Pediococcus. The study also identified potential health risks from pathogens such as Escherichia and Listeria, which were more prevalent in carnivores and positively correlated with niche width. Noninvasive sampling methods were used to analyze the gut microbiomes of 10 protected wild animals, providing insights into the intricate linkages between diet, microbiota composition, and host ecology. These findings offer valuable theoretical and practical implications for ecological conservation, species restoration, and environmental management in high-altitude environments.
First Documentation of Snow Leopard ( Panthera uncia ) Presence in the Core Area of Mt. Siguniang National Nature Reserve, China
Researchers have documented the first confirmed presence of snow leopards (Panthera uncia) within the core area of Mt. Siguniang National Nature Reserve, China, a critical but understudied region at the southeastern edge of the species' global range. Over a 20-month period from November 2022 to August 2024, camera traps captured 33 independent detections across five high-altitude sites, primarily above 4500 meters, revealing four unique adult individuals. This finding marks a significant milestone in snow leopard conservation, as systematic monitoring has been notably absent in the reserve. The study highlights the need for expanded research to quantify population dynamics and assess connectivity with adjacent mountain systems, which could inform broader conservation strategies for this vulnerable flagship species.
Wild ActionFormer: Enhancing wildlife action recognition for 11 endangered species in Wolong
A novel video self-supervised learning-based network, Wild ActionFormer, achieves 95.09% Top-1 accuracy in recognizing actions of 11 endangered species in the Wolong Nature Reserve, marking a significant advancement over baseline models. This breakthrough leverages UniformerV2 as its backbone and incorporates differential dispersion regularization loss to enhance feature extraction robustness while mitigating interference. The Focal Loss reweighting strategy further optimizes performance for long-tail classes, addressing data imbalance biases. Validated on the LoTE-Animal dataset—comprising 10,000 videos of species like giant pandas and Sichuan snub-nosed monkeys—the study demonstrates the potential of automated action recognition in conservation research, offering precise insights into wildlife behavior without manual annotation.
Classification algorithm for land use in the giant panda habitat of Jiajinshan based on spatial case-based reasoning
A novel spatial case-based reasoning (SCBR) algorithm achieved superior land use classification accuracy of 95% and a Kappa coefficient of 90% in the Jiajinshan giant panda habitat, outperforming machine learning models like SVM, U-Net, ViT, and Trans-Unet. The study demonstrated significant ecological improvements, particularly in forest protection and restoration, between 2018 and 2022 with consistent accuracy above 80%. Unlike traditional methods, SCBR requires minimal domain knowledge and avoids complex model training, offering a practical tool for monitoring and protecting panda habitats.
Facilitating giant panda crossings of national highway in Wolong area of Giant Panda National Park amid human activities
Human activities significantly reduce habitat suitability and connectivity for giant pandas in the Wolong area of Giant Panda National Park, particularly along the National Highway G350 (NHG), which divides panda populations. Research shows that eliminating human presence could increase suitable habitat by 78.76 km² and improve habitat suitability index (HSI) and connectivity value (CV) in a 1000 m buffer zone around the NHG. The study used kernel density estimation (KDE) to identify optimal crossing areas for pandas, simulating scenarios with and without human activities to assess landscape changes. These findings are critical for conservation planning, offering actionable insights to mitigate road fragmentation and enhance panda movement amid high human activity.
Community-based incentive coordination in payments for ecosystem services: China’s Wolong Nature Reserve
Community-based Payments for Ecosystem Services (CB-PES) can significantly enhance economic outcomes for stakeholders and environmental benefits when implemented with incentive coordination. A study focusing on China's Wolong Nature Reserve demonstrates that CB-PES, through participatory intermediary governance, effectively deploys various incentive-coordinated techniques to improve local conservation efforts. The research combines theoretical modeling with empirical analysis, revealing the potential of CB-PES to sustain community support and optimize ecological benefits. However, designing such mechanisms remains challenging due to the need for coordinated conservation efforts to balance economic gains and environmental outcomes.
Estimating the preservation value of Wolong National Nature Reserve in China: Applying the two-stage contingent valuation method
A new economic valuation of Wolong National Nature Reserve, part of the Sichuan Giant Panda Sanctuaries UNESCO World Heritage Site, estimates that each resident of China's Sichuan province would pay an average of 297.21 yuan (≈56,809 KRW) annually to preserve this critical panda habitat under hypothetical conditions, rising to a total estimated value of approximately 4.5 trillion KRW for the entire provincial population. This finding, derived from a two-stage contingent valuation method combining discrete-choice and logit models, highlights significant public willingness-to-pay (WTP) influenced by factors such as income, education, conservation interest, and environmental preference. The study provides actionable insights for sustainable ecotourism management in China's panda sanctuaries.
Effects of the second generation wild boar grazing on species diversity and soil physicochemical properties of coniferous-broad-leaved mixed forest in Jiajin Mountain, China
Wild boar grazing significantly impacts species diversity and soil properties in coniferous-broad-leaved mixed forests of Jiajin Mountain, China. The study found that slight grazing disturbance (category III) maximizes plant diversity, with 172 vascular plant species recorded across 55 families and 117 genera. This includes the highest counts for trees, shrubs, and herbs compared to stronger or weaker disturbances. The research categorized four grazing intensities based on boar behavior and activity range, alongside a control (no disturbance). Soil physicochemical properties were also analyzed under these conditions. These findings provide critical insights for maintaining ecological stability in mixed forests, guiding scientific grazing management practices in this UNESCO World Heritage Site.
Estimation of Broadleaf Tree Canopy Height of Wolong Nature Reserve Based on InSAR and Machine Learning Methods
A novel approach combining Interferometric Synthetic Aperture Radar (InSAR) with machine learning demonstrates high accuracy in estimating broadleaf tree canopy height, a critical parameter for assessing forest carbon sinks. The study achieved root-mean-square errors of 1.76 m and 1.86 m using Random Forest, outperforming the Multi-layer perceptron method with errors of 3.96 m and 4.13 m. This cost-effective technique leverages UAV photogrammetry for true canopy height validation and integrates topographic factors to enhance model stability. The findings highlight the potential of InSAR and machine learning for large-scale, efficient forest monitoring, offering a robust tool for carbon cycle research in Wolong Nature Reserve.
Forecasting short-term tourism demand with a decomposition-ensemble strategy
A novel model, SSA-SVR, effectively forecasts short-term tourism demand fluctuations in the Mt. Siguniang Scenic Area of China's Sichuan Giant Panda Sanctuaries, addressing critical gaps in existing research. Unlike traditional approaches that focus on medium to long-term predictions, this study leverages a decomposition-ensemble strategy combined with machine learning algorithms to capture high volatility, nonlinearity, and instability in daily passenger flow data. The model demonstrates promising accuracy, offering valuable insights for government policymakers, scenic area managers, and tourists alike. This advancement could significantly improve resource allocation, visitor management, and policy planning in UNESCO World Heritage Sites facing similar challenges.
Mountain Outdoor Tourism and Tibetan Mountain Guides’ Place Identity: The Case of Mt. Siguniang Town
Mountain outdoor tourism significantly influences Tibetan mountain guides' place identity, except for the dimension of distinctiveness. The study found that economic income, family reunion, community development, external evaluation, host-guest interaction, professional identity, career change, and personal growth are key factors shaping self-efficacy, self-esteem, continuity, and distinctiveness among guides in Mt. Siguniang Town. These insights, derived from semi-structured interviews and content analysis, provide valuable references for local tourism management and future research on mountain outdoor tourism and place identity.
Multi-scale habitat selection of Chinese monal (Lophophorus lhuysii) in Wolong National Nature Reserve, Sichuan
Chinese monal (Lophophorus lhuysii) exhibits distinct habitat preferences at both landscape and microhabitat scales, with seasonal variations reflecting its life-stage resource demands. The species consistently favors higher elevations (3,700–4,300 m), intermediate slopes (27°–33°), exposed slope-faces, and meadow/tundra-dominated landscapes year-round. However, breeding monals prefer habitats with higher rock coverage, while non-breeding individuals favor areas with greater herbage and lower shrub/litter coverage. This study, conducted using infrared camera monitoring across 15 transects in Wolong National Nature Reserve (2019–2020), applies PCA and logistic regression to analyze microhabitat and landscape-scale data. The findings highlight critical habitats essential for the species' persistence, offering actionable insights for targeted conservation efforts in this globally prioritized protected wildlife.
Session 2.2 Sichuan Giant Panda Sanctuaries
The Sichuan Giant Panda Sanctuaries, encompassing Wolong, Mt. Siguniang, and Jiajin Mountains, represent the largest panda sanctuary globally, playing a pivotal role in conservation efforts for pandas, bamboo forests, and other land species. This sanctuary not only serves as a refuge for wildlife but also bridges urban and rural communities, offering a unique habitat amid bustling cities. Its rich history and ecological significance make it a focal point for global conservation initiatives, particularly due to the panda's widespread appeal, which inspires international passion for biodiversity protection. The study highlights its importance under Sustainable Development Goal 15 (Life on Land) and contributes to broader discussions on wildlife conservation through e-poster presentations at international summits.
The impact of ecotourism on local rural households' livelihood around Wolong Nature Reserve
Ecotourism around Wolong Nature Reserve significantly boosts local livelihoods, particularly for full-time and part-time tourism operators, while also intensifying pressure on giant panda habitats. The study reveals that tourism shifts traditional livelihood strategies by replacing them with tourism-related activities and increasing herb-picking to meet tourist demand, which disrupts panda habitats. Nine key indicators—such as farmland quality, income, and access to training—shape these changes. To mitigate negative impacts, the research suggests diversifying tourism resources, integrating herb cultivation into local livelihoods, and strengthening surveillance systems.
Catalyzing Innovation: Governance Enablers of Nature-Based Solutions
Nature-based solutions (NBS) offer cost-effective and viable approaches to address societal challenges, including disaster risk reduction (DRR), but their success hinges on robust governance frameworks. A study analyzing cases from Nocera Inferiore (Italy), Munich (Germany), and Wolong (China) identifies critical governance enablers—polycentric governance, co-design processes, pro-NBS advocacy groups, and financial incentives—that facilitate the initiation, planning, design, and implementation of NBS. These enablers not only enhance DRR but also deliver multiple ecological and socio-economic benefits. The findings underscore how NBS can contribute to global agendas such as climate change adaptation and sustainable development, provided that governance structures support innovative stakeholder engagement and community-based financing.
Effects of grazing disturbance on vegetation community characteristics and biomass in Jiajin Mountain, Sichuan Province
Grazing disturbance significantly impacts vegetation community characteristics and biomass in Jiajin Mountain, Sichuan Province. The study found that severe grazing (within 2000 m of pig farms) reduces species diversity, weakens regeneration capacity, and alters dominant plant species, particularly affecting perennial herbs and gramineous grasses. Light to moderate disturbance (levels IV-III) promotes higher sapling proportions and maintains biodiversity, while heavy disturbance (level I) nearly eliminates saplings, indicating poor community recovery. Redundancy analysis revealed positive correlations between shrub and herb diversity indices with biomass, suggesting that grazing management must balance productivity and diversity to sustain mixed coniferous-broadleaf forests.
Genetic characterization and zoonotic potential of Blastocystis from wild animals in Sichuan Wolong National Natural Reserve, Southwest China
A study of wild animals in Sichuan Wolong National Natural Reserve reveals that Blastocystis, a prevalent eukaryotic parasite with zoonotic potential, infects 10% of the sampled wildlife. The research identified five subtypes (ST1, ST3, ST5, ST13, and ST14), with ST13 and ST14 being the most common, each accounting for 33% of positive samples. Notably, four of these subtypes (ST1, ST3, ST5, ST14) have been previously linked to human infections, suggesting that wild animals in this region may serve as reservoirs for Blastocystis. The study analyzed 300 fecal samples from 27 wildlife species across three areas, using PCR amplification of the SSU rRNA gene to determine subtype prevalence and genetic characteristics. This is the first molecular investigation of Blastocystis infection in wild animals in southwestern China, highlighting the need for further research on zoonotic transmission risks.
Temporal and spatial variation of typical ecosystem services in Wolong Nature Reserve
A significant increase in four key ecosystem services—carbon storage, soil conservation, habitat quality, and water conservation—was observed in Wolong Nature Reserve between 2000 and 2015. These services showed spatial heterogeneity, with higher values concentrated in the southeastern region, particularly at lower terrain gradients dominated by forestland and grassland. Hotspot analysis revealed that the southeast emerged as a primary area for high ecosystem service provision, with a notable expansion of Class IV hotspots where all four services exceeded average levels. The study utilized models like CASA, RUSLE, and InVEST to quantify these changes, linking them to terrain gradients and land use types while discussing underlying ecological and socio-economic drivers.
The evolution and reconstruction of tourism rural ecological space: a case study of Wolong Village, Chaling County
Research on Wolong Village, a UNESCO World Heritage Site within the Sichuan Giant Panda Sanctuaries, reveals critical insights into the reconstruction of tourism-driven rural ecological spaces for sustainable development. The study identifies that Wolong Village's ecological space consists of 6 source areas, 15 corridors, and 22 nodes, but faces issues such as unbalanced spatial distribution, irrational structure, and weak ecological function. Analyzing four developmental stages, the research highlights key evolutionary features: scale decline, spatio-temporal differences, and functional complexity. To address these challenges, the study proposes a reconstruction pathway involving 7 source areas, 14 corridors, and 19 nodes, along with measures like classified spatial control, structural optimization, and ecological planning guidance. This approach offers a theoretical framework and practical case study for rural ecological protection and revitalization strategies.
Effects of conservation policies on forest cover change in giant panda habitat regions, China
Conservation policies significantly boosted forest cover in giant panda habitats. A rigorous analysis of two major Chinese programs—the Natural Forest Conservation Program (NFCP) and the Grain-To-Green Program (GTGP)—revealed their combined positive impact on forest recovery between 2001 and 2008 across key panda sanctuaries in Sichuan and Shaanxi. Using high-accuracy satellite data (MODIS MCD12Q1), researchers found that most townships in these regions saw stable or increasing forest cover, with the policies outperforming socioeconomic factors like population density and road infrastructure. These findings underscore the effectiveness of coordinated conservation strategies for both biodiversity protection and sustainable land management.
Shaking Table Test on Dynamic Response of Bedding Rock Slopes With Weak Structural Plane Under Earthquake
A shaking table test revealed that bedding rock slopes with weak structural planes exhibit significant seismic response variations under different earthquake conditions, particularly demonstrating 'elevation' and 'surface effects.' These effects weaken as seismic amplitude increases but become more pronounced with resonance induced by specific seismic waves, such as the EL Centro wave. The study identified a two-stage failure mechanism: initial formation of a sliding shear plane followed by overall slope instability. Conducted at a 1:10 similarity ratio, the test analyzed acceleration and displacement responses to simulate earthquakes like Wenchuan Wolong and Kobe, providing critical insights for understanding and mitigating seismic risks in fragile geological settings.
Tube-nosed variations–a new species of the genus Murina (Chiroptera: Vespertilionidae) from China
Researchers have identified a new species of tube-nosed bat within the genus Murina from China, specifically found in Wolong National Nature Reserve. This discovery, though currently limited to this site, suggests that the species may not be rare in the area based on capture frequencies observed during the study. The study employed fieldwork and morphological analysis to distinguish this new species, contributing valuable insights to the understanding of bat diversity within UNESCO-listed Sichuan Giant Panda Sanctuaries.
Escalating human–wildlife conflict in the Wolong Nature Reserve, China: A dynamic and paradoxical process
A rapid increase in human-wildlife conflict (HWC) has been observed in the Wolong Nature Reserve, China, paradoxically linked to successful biodiversity conservation and ecological restoration efforts. Nearly all local households reported financial losses due to wildlife damage, yet inadequate compensation schemes exacerbate the issue. The study, conducted through semi-structured interviews with 201 households in 2016, highlights the need for integrated compensation plans that also promote alternative livelihoods, such as ecotourism and off-farm employment, to reduce dependence on agriculture and mitigate HWC.
Impact of livestock grazing on biodiversity and giant panda habitat
Livestock grazing significantly threatens giant panda habitat and biodiversity within protected areas. A study in the Wolong National Nature Reserve, China, found that grazing reduces arrow bamboo coverage and growth while increasing herbaceous plant diversity. This shift negatively impacts giant pandas and red pandas but has a lesser effect on sambar and tufted deer populations. Researchers compared intact habitats with limited grazing to disturbed ones, monitoring bamboo health, wildlife signs (feces and tracks), and plant communities over spatial and temporal scales. The findings highlight the urgent need for managing livestock grazing to safeguard panda survival and ecosystem integrity.
Metabarcoding diet analysis of snow leopards (Panthera uncia) in Wolong National Nature Reserve, Sichuan Province
Metabarcoding analysis reveals that blue sheep (Pseudois nauremi) constitute the primary dietary component of snow leopards (Panthera uncia) in Wolong National Nature Reserve, Sichuan Province. This study employed a non-invasive metabarcoding approach to analyze 22 confirmed snow leopard fecal samples, providing a more accurate and comprehensive understanding of their diet compared to traditional morphological identification methods. The findings highlight the importance of blue sheep in the diet of this apex predator, offering critical insights into its ecological role within the Qionglai Mountains ecosystem. This research contributes to the broader understanding of snow leopard diet dynamics, which are essential for informing conservation strategies and maintaining ecosystem stability.
Population genetics reveals high connectivity of giant panda populations across human disturbance features in key nature reserve
A surprising lack of genetic isolation was found among giant panda populations within the Sichuan Giant Panda Sanctuaries, despite significant human disturbance. Researchers analyzed 539 fecal samples from Wolong Nature Reserve using tetra-microsatellite markers, identifying 142 unique genotypes and estimating a population size of 164 individuals (95% CI: 153-175). Contrary to expectations, no significant genetic boundaries were detected, even across the national road G350 that bisects the reserve. This suggests higher connectivity than previously assumed, likely due to high migration rates, including confirmed road-crossing events. The study highlights the importance of maintaining habitat corridors for gene flow preservation amid increasing development and tourism threats.
Assessment of the contribution to human well-being by ecosystem services in Wolong Natural Reserve from the perspective of local communities
A study assessing the contribution of ecosystem services to human well-being in Wolong Natural Reserve reveals that social welfare benefits significantly outweigh personal ones, with regulatory services such as air purification, disaster prevention, and freshwater supply providing the highest welfare contributions. While policies aimed at biodiversity conservation and ecological restoration have led to declines in services like plant gathering, traditional agriculture, livestock, and soil fertility—particularly soil fertility—a key driver of welfare, demographic factors such as gender, age, occupation, and income also significantly influence these benefits. The research highlights soil fertility as a critical ecosystem service and offers management strategies to address disparities in welfare contributions.
Fine-Scale Evaluation of Giant Panda Habitats and Countermeasures against the Future Impacts of Climate Change and Human Disturbance (2015–2050): A Case Study in Ya’an, China
A comprehensive study predicts that giant panda habitats in Ya’an, China, will expand under climate change alone but shrink significantly (58.56%) when human disturbance is factored in, with suitable habitat shifting westward, northward, and eastward. Unlike previous research showing habitat loss due to climate change, this study found potential increases, emphasizing the critical role of human activity in shaping conservation outcomes. The research used MaxEnt modeling under two scenarios—climate change alone and coupled with human disturbance—to identify priority regions for expansion within the Sichuan Giant Panda Sanctuaries UNESCO World Heritage site. It also highlighted gaps in current conservation networks, suggesting two specific areas for future protection based on high-resolution remote-sensing data and field investigations.
Camera-trapping surveys of the mammal and bird diversity in Wolong National Nature Reserve, Sichuan Province
A three-year camera-trapping survey in Wolong National Nature Reserve, Sichuan Province, identified 32 mammal species and 4 domestic animals across 83 sites, including 16 nationally protected species. The study, conducted between 2014-2016, used 58 km² of grid-based sampling to document 2,095 detection events, with notable findings including critically endangered species like the giant panda (Ailuropoda melanoleuca) and red panda (Ailurus fulgens). This research provides critical baseline data for monitoring biodiversity in one of China's most significant panda habitats, contributing to conservation efforts in the Sichuan Giant Panda Sanctuaries UNESCO World Heritage Site.
New taxa of Berberis (Berberidaceae) with greenish flowers from a biodiversity hotspot in Sichuan Province, China
Researchers have identified two new taxa of Berberis—Berberis viridiflora and Berberis sanguinea var. viridisepala—from Baoxing County, Sichuan Province, China, a biodiversity hotspot within the UNESCO-listed Sichuan Giant Panda Sanctuaries. These discoveries expand the known diversity of Berberis, particularly highlighting greenish-flowered variants that differ morphologically from related species. The study also reclassified Berberis multiovula as a synonym of B. sanguinea var. sanguinea, resolving taxonomic ambiguities. Through field surveys and herbarium analysis, the team documented 16 Berberis taxa in Baoxing County, showcasing extensive phenotypic variations in plant morphology, inflorescences, flower colors, and fruit types. The findings suggest that this region may serve as a diversification center for Berberis in the eastern Hengduan Mountains, underscoring its ecological significance.
The effect of livelihood capital on the willingness of farmers to re-enroll in the Grain for Green Program: A Case study in Wolong Nature Reserve
Approximately 77% of farmers in Wolong Nature Reserve expressed willingness to re-enroll in the Grain for Green Program, with significant differences in livelihood capital between those willing and unwilling to participate. Logistic regression analysis revealed that natural capital negatively influenced this willingness, while financial and social capital had positive effects. Key factors included land ownership (negative impact), cash income, family committee membership, and labor force education level (all positive impacts). The study suggests reducing farmers' dependence on land resources, increasing non-agricultural income and compensation standards, improving labor force education, and optimizing the regional development environment to enhance re-enrollment willingness.
Bamboo Classification Using WorldView-2 Imagery of Giant Panda Habitat in a Large Shaded Area in Wolong, Sichuan Province, China
A study demonstrates that WorldView-2 (WV-2) imagery can effectively identify small patches of understory bamboo in giant panda habitats, even in shaded mountainous regions with limited training data. The research achieved high accuracy—93.10% user's accuracy and 82.65% producer’s accuracy for bamboo classification—by expanding sample size using principal component analysis (PCA) and applying a geostatistically-weighted k-nearest neighbor (k-NN) classifier, which accounts for spatial correlation between classes. The findings highlight the potential of WV-2 imagery for habitat assessments in the Sichuan Giant Panda Sanctuaries, including Wolong, by overcoming challenges posed by shadow coverage and sparse data.
Confidence and Trust in Public Institution Natural Hazards Management: Case Studies in Urban and Rural China
Public confidence in grassroots-level institutions for natural hazards management is limited due to resource and power constraints, with notable differences between urban and rural China. While residents of Wolong, a remote village near the Sichuan Giant Panda Sanctuaries, recognize the role of these institutions in fostering community connections, their urban counterparts in Tianjin remain skeptical. This disparity may be attributed to issues of solidarity. The study, conducted through semistructured interviews, highlights the implications for state-society cooperation and disaster risk comanagement in both urban and rural settings.
Pandas and People
A groundbreaking synthesis of two decades of interdisciplinary research reveals complex interactions between the giant panda, a global conservation icon, and local communities within the Sichuan Giant Panda Sanctuaries. The study, conducted across Wolong Nature Reserve and adjacent regions, demonstrates how coupled human and natural systems evolve through socioeconomic activities like farming, forest harvesting, and tourism. By integrating extensive socioeconomic and biophysical data, the research introduces novel methods to understand patterns of system dynamics, contributing significantly to theories on complexity, social norms, and sustainability. Findings from this model coupled system offer actionable insights for natural resource management, with implications extending beyond Wolong to global biodiversity hotspots.
Activity patterns of the giant panda (Ailuropoda melanoleuca)
Giant pandas exhibit three distinct activity peaks—morning, afternoon, and midnight—in contrast to the previously assumed crepuscular behavior. A study using GPS collars with accelerometers on both wild and captive pandas in Wolong Nature Reserve revealed seasonal variations in activity, with peaks in June, a decline in August-September, and increased activity from November to March. Activity correlated with solar radiation, particularly under cold conditions, suggesting potential impacts of climate change. The findings also indicate that pandas adjust their energy budgets due to dietary constraints, providing insights into the relationship between forage, weather, and energy expenditure.
An integrated approach to understanding the linkages between ecosystem services and human well‐being
A significant impact of natural disasters on human well-being and dependence on ecosystem services (ES) was quantified, with disadvantaged households experiencing greater losses. The study, conducted at Wolong Nature Reserve, China, used integrated indicators and models to analyze how the Wenchuan Earthquake affected ES dependence and well-being across multiple dimensions. It found that diversifying ES dependence can mitigate disaster impacts, providing empirical evidence for using quantitative indicators to advance understanding of ES-human well-being linkages.
Evolution of tourism in a flagship protected area of China
Tourism in Wolong Nature Reserve, a flagship UNESCO-listed site in China, followed a rapid growth trajectory before being halted by the 2008 Wenchuan Earthquake. This study reveals that Wolong's tourism evolution—spanning exploration, involvement, and development phases—was driven by complex interactions between political, economic, and governance factors. Using the Tourism Area Life Cycle (TALC) model, researchers analyzed three decades of tourism dynamics, identifying key drivers and structural changes in governance. The findings highlight the fragility of sustainable tourism in protected areas, offering insights for balancing conservation, community development, and resilience against disruptive events.
Agent-Based Modeling in Coupled Human and Natural Systems (CHANS): Lessons from a Comparative Analysis
Agent-based modeling (ABM) offers significant potential for understanding coupled human and natural systems (CHANS), particularly in capturing complex dynamics such as feedback loops, nonlinearity, and resilience. However, the lack of standardized infrastructure limits comparability across studies. This study advances CHANS research by developing a protocol based on the ODD framework to standardize ABM documentation and comparison. Through a comparative analysis of two renowned CHANS—Wolong Nature Reserve in China and Chitwan National Park in Nepal—the researchers identify four key lessons: representing agents and landscapes, the need for standardized modules, the impact of scheduling on model outcomes, and interpreting 'surprises' in model results. This protocol aims to enhance the comprehension, comparison, and envisioning of CHANS processes, ultimately advancing the science of CHANS.
Complete mitogenome of Chinese shrew moleUropsilus soricipes(Milne-Edwards, 1871) (Mammalia: Talpidae) and genetic structure of the species in the Jiajin Mountains (China)
Researchers have uncovered evidence that the Chinese shrew mole (Uropsilus soricipes) experienced significant demographic expansion around 46,600 years ago, with its genetic structure shaped by mountain ranges. Analyzing the complete mitochondrial genome of this species—16,575 base pairs long—the study revealed low nucleotide diversity and high haplotype diversity in populations from the Jiajin Mountains. Phylogenetic analysis further indicated that two distinct clades diverged during the middle Pleistocene, approximately 0.986 million years ago, highlighting the role of geological features in influencing species distribution. This work provides new insights into the evolutionary history and population dynamics of Uropsilus soricipes, contributing to our understanding of biodiversity patterns in UNESCO World Heritage Sites like the Sichuan Giant Panda Sanctuaries.
Impact of Wenchuan earthquake on the giant panda habitat in Wolong National Nature Reserve, China
The Wenchuan earthquake (M=8.0) in 2008 caused significant damage to the Wolong National Nature Reserve, China, a critical habitat for giant pandas, reducing forest area by approximately 10% and decreasing weighted usable area (WUA). The study used Landsat images classified with support vector machines to assess land cover changes, revealing that forests east of Wolong town, home to numerous pandas, were most severely affected. Habitat suitability between 1200 and 1300 meters above sea level showed vulnerability and slow recovery by 2013, though it had not fully rebounded to pre-earthquake levels. These findings underscore the urgent need for effective management strategies to restore and protect panda habitats in earthquake-affected regions.
Tree‐ring‐based temperature reconstruction for the Wolong Natural Reserve, western Sichuan Plateau of China
A 172-year tree-ring-based temperature reconstruction for the Wolong Natural Reserve, a UNESCO-listed panda sanctuary on China’s Sichuan Plateau, reveals distinct warming and cooling periods. The study, using Sabina saltuaria cypress rings, identifies significant warmth between 1864–1882 and 1927–1960, with pronounced cold intervals from 1886–1926 and 1961–1996. The reconstruction, explaining 54.1% of temperature variance (1956–2010), links multi-decadal cycles to Atlantic Multidecadal Oscillation and solar activity, while annual fluctuations align with ENSO variability. This high-resolution record fills a critical gap in Tibetan Plateau climate data, offering insights into past temperature dynamics that could inform conservation strategies for panda habitats.
Eco-Restoration on the Sichuan Giant Panda Sanctuaries after 4.20 Earthquake
The Sichuan Giant Panda Sanctuaries, including Wolong, Mt Siguniang, and Jiajin Mountains, suffered significant ecological damage following the 2013 Lushan earthquake. This disaster not only devastated local infrastructure and livelihoods but also disrupted the natural ecosystem, leading to changes in geomorphic features and casualties among wildlife, including the critically endangered giant panda. The study assesses the extent of this damage, highlighting its implications for biodiversity conservation. Given the giant panda's status as a global symbol of wildlife protection, recognized by UNESCO and organizations like IUCN and WWF, the findings underscore the urgent need for targeted eco-restoration strategies to preserve these sanctuaries. The research provides critical insights into post-disaster ecological recovery, offering a foundation for reconstructing damaged habitats and safeguarding one of China's most iconic species.
Habitat selection of the pre-released giant panda in Wolong Nature Reserve
A pre-released giant panda exhibited strong preference for areas with high densities of new bamboo shoots, while avoiding regions with dense adult or dead bamboo, higher culm heights, and increased canopy cover. The study, conducted in Wolong Nature Reserve, found that proximity to water sources and shelter significantly influenced habitat selection, suggesting successful predator avoidance learning during pre-release training. Logistic regression identified new bamboo shoot density as the primary predictor of habitat use. Notably, the panda's home range (9.21 hm²) was substantially smaller than those of wild pandas in the reserve, highlighting the need for enriched training environments to promote larger territorial behavior in future reintroduction efforts.
Leaf-form characteristics of plants inQuercus aquifolioidescommunity along an elevational gradient on the Balang Mountain in Wolong Nature Reserve, Sichuan,China
A study on the Sichuan Giant Panda Sanctuaries reveals that leaf-form characteristics of plants in the Quercus aquifolioides community vary significantly along an elevational gradient (2200–3600 m) on Balang Mountain, Wolong Nature Reserve. The research found that small-type leaves dominate, accounting for 36.09% of vascular plant species, while fine and medium-type leaves contribute equally (~25%). Large and giant leaves are less common (<10%), with micro-type leaves ranging from 1.28% to 5.59%. Leaf morphology shifts with elevation, showing a decline in small leaves at mid-elevation (3000 m) before rising again. Single-leaf species predominate (~76%), though complex leaves increase slightly at higher elevations. Leaf texture also varies, with paper-like leaves being most common (46.03%), followed by thin (29.17%) and leathery (22%) types. The study highlights the adaptability of plant leaf traits to elevation changes in this unique high-mountain oak forest ecosystem.
Nonlinear effects of group size on collective action and resource outcomes
A nonlinear relationship between group size and collective action, particularly forest monitoring, has been identified, with intermediate-sized groups (neither too small nor too large) demonstrating the highest levels of cooperation and leading to the greatest gains in forest cover. This finding challenges previous assumptions about group dynamics and suggests that both direct and indirect effects of group size influence outcomes. The study analyzed data from Wolong Nature Reserve since 1995, controlling for confounding factors. It proposes strategies to enhance collective action and resource management, such as punishing free-riding behavior, improving enforcement and social capital, and facilitating self-selection during group formation. These insights offer practical guidance for the governance of common-pool resources, including those in UNESCO World Heritage Sites like the Sichuan Giant Panda Sanctuaries.
Community Residents’ Eco-Environment Protection Awareness in the Jiajin Mountains Giant Panda Sanctuary
A high level of eco-environmental awareness among community residents in the Jiajin Mountains Giant Panda Sanctuary was observed, particularly in knowledge, concern for ecological issues, participation in protection efforts, and pro-environmental behavior. However, significant gaps were identified, notably a lack of familiarity with environmental protection laws and insufficient dissemination of relevant policies by local authorities. The study, conducted through questionnaires, highlights the need for targeted educational interventions to strengthen residents' legal knowledge and government-led propaganda on eco-protection measures. These findings underscore the importance of community engagement and policy reinforcement in safeguarding the sanctuary's delicate ecosystem.
Drivers and Socioeconomic Impacts of Tourism Participation in Protected Areas
A multi-year study in Wolong Nature Reserve, China, reveals that households with greater financial, physical, human, and social capital were more likely to participate directly in nature-based tourism, while those with higher natural capital (e.g., cropland) were less inclined. The research also found that participating households experienced both increased non-financial benefits and negative environmental impacts compared to non-participating ones. Conducted between 1999 and 2007, the study tracked 220 local households, showing a significant rise in direct tourism participation from nine to sixty households over eight years, with two-thirds of others benefiting indirectly. The findings underscore the need for socioeconomic impact analysis and monitoring in nature-based tourism management to ensure long-term sustainability of protected areas.
Weak Ties, Labor Migration, and Environmental Impacts
Labor migration from rural to urban areas in China's Wolong Nature Reserve significantly reduces fuelwood consumption, a critical aspect of natural capital. This reduction is driven by weak social ties to urban settings, which facilitate migration and subsequently decrease local resource use. The study highlights the potential for policies that strengthen social capital between rural and urban populations to mitigate environmental impacts on protected areas like Wolong. By examining the substitution among different forms of capital—natural, human, social, and manufactured—the research offers a sociological perspective on sustainability, suggesting that fostering weak ties could be an effective strategy for reducing natural resource depletion in global conservation efforts.
A fast and effective method to perform paternity testing for Wolong giant pandas
Researchers developed a highly effective method for paternity testing in captive giant pandas, achieving 100% accuracy using two highly polymorphic microsatellite markers. This approach significantly advances conservation efforts by enabling precise genetic identification of fathers, crucial for managing captive populations and selecting individuals for reintroduction programs. The study demonstrated that the success rate of paternity exclusion correlates with genetic diversity parameters such as number of alleles (Na), expected heterozygosity (HE), and observed homozygosity (FO). A novel variable, Na×HE/FO, was introduced to assess microsatellite marker performance, showing a strong positive correlation with resolution power. This method not only streamlines paternity testing but also provides a criterion for selecting optimal markers, applicable beyond giant pandas to other captive endangered species.
Highway construction and protection of sichuan giant panda sanctuaries
A planned highway threatens the authenticity and integrity of the UNESCO World Heritage Site, Sichuan Giant Panda Sanctuaries, by passing through its buffer or core zones. The study highlights significant environmental stress and ecological impacts during construction and operation phases. To mitigate these effects, the research proposes specialized management measures aimed at reducing adverse consequences on this critical habitat for giant pandas.
Impact of the 2008 Wenchuan earthquake on biodiversity and giant panda habitat in Wolong Nature Reserve, China
A first-of-its-kind post-earthquake field survey in Wolong Nature Reserve revealed that the 2008 Wenchuan earthquake caused significant but localized damage to giant panda habitat, with only 36% of damaged areas detected by remote sensing. While tree and shrub diversity declined in affected zones, remnant vegetation persisted in 80% of cases, suggesting potential for forest recovery. Most damage occurred on steep terrain unsuitable for pandas, yet wildlife signs indicated minimal long-term avoidance behavior. The study underscores the need for fine-scale assessments to accurately gauge disaster impacts on biodiversity.
Using Cost‐Effective Targeting to Enhance the Efficiency of Conservation Investments in Payments for Ecosystem Services
Cost-effective targeting in conservation payments significantly boosts environmental benefits, with discriminative payment schemes—where payments vary based on landholders' opportunity costs—proving substantially more efficient than flat-rate systems. A study analyzing China's Grain-to-Green program in Wolong Nature Reserve found that optimal and suboptimal targeting strategies yielded far greater ecological outcomes than random land selection. This suggests that tailored conservation investments can enhance the effectiveness of payments for ecosystem services programs, offering a scalable model for improving biodiversity protection in UNESCO World Heritage Sites like the Sichuan Giant Panda Sanctuaries.
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