Panda géant
Ailuropoda melanoleuca(David, 1869)
Description
espèce de mammifères
Source : Wikidata
Indicateurs du réseau écologique
Comment lire ce graphe
Ce graphe représente les interactions écologiques documentées entre Ailuropoda melanoleuca et d'autres espèces, à partir de la base GloBI (Global Biotic Interactions, agrégation mondiale de la littérature scientifique) — source principale, complétée par d'autres jeux de données d'interactions agrégés par Ontologia. Il faut le comprendre comme une carte du savoir documenté, pas une carte de la réalité écologique exhaustive.
Limites principales
- Incomplet. La majorité des interactions écologiques en milieu naturel n'ont jamais été publiées. Une espèce sans liens visibles n'est pas isolée — elle est probablement mal étudiée.
- Biais publication pharmaco-agronomique. La littérature des interactions est polarisée par les enjeux économiques et sanitaires : parasitism / pathogen sur-pondéré sur les mammifères (recherche zoonoses, vecteurs), herbivory sur-pondéré sur les insectes phytophages (entomologie agronomique). À l'inverse, mutualisms, commensalisms et interactions sol/microbiote sont sous-cités. Conseil de lecture : sur les hubs mammifères ou les insectes ravageurs de culture, lire les arêtes parasitism / herbivory dominantes relativement au contexte de littérature, pas comme une mesure d'intensité écologique brute. Détails §10.1.
- Biaisé vers les espèces étudiées. Quelques espèces (oiseaux communs, abeille mellifère, espèces modèles) concentrent disproportionnellement plus d'interactions documentées. Notre score composite ajoute un malus aux hubs de littérature pour atténuer cette dominance visuelle.
- Interactions documentées globalement. Toutes les espèces affichées sont observées en France métropolitaine (les observations sont filtrées sur le territoire métropolitain), mais les interactions entre elles proviennent de la littérature scientifique mondiale. Une interaction documentée à l'étranger peut ne pas se réaliser à l'identique sur votre territoire. Le filtre « restreindre à ma commune » tient compte de la co-occurrence spatiale locale mais ne garantit pas l'interaction effective.
- Sans dimension temporelle. Les variations saisonnières (migration, floraison, cycle de vie) ne sont pas modélisées.
- Force d'interaction approximative. L'épaisseur des liens reflète le nombre de fois où l'interaction a été rapportée dans la littérature, pas son importance écologique réelle.
Comment nous sélectionnons les espèces affichées
Le graphe affiche au plus 31 nœuds par fiche (1 centre + 15 bulles depth=1 + 15 partenaires depth=2). Le serveur sélectionne intelligemment :
- Bulles famille créées si une cascade taxonomique existe ou si ≥3 espèces directement documentées partagent une même famille — les espèces sont absorbées dans la bulle (pas de doublon visuel)
- Espèces individuelles uniquement quand <3 dans une famille (sans cascade) — relations directes documentées
- Pas d'espèces inférées affichées en doublon — les cascades sont représentées via les bulles famille uniquement
- Partenaires depth=2 sélectionnés via algo priorité : candidat partagé par ≥2 docs de la famille (food web central) → reliant entre bulles → top sum_obs en dernier recours
- Sous-types GloBI traduits en français au survol de la flèche (chasse, parasite, parasitoïde, mycorhize…)
Le toggle Profondeur 1 ↔ 2 client-side cache ou affiche les partenaires depth=2 sans refetch. Filtres règne, type d'interaction, ordres/familles, patrimoniales et commune recalculent côté serveur (slow path live ~1-2 s).
Indicateurs avancés (mode expert) : Modularité Q (Newman 2006, PNAS), communautés (Louvain, Blondel et al. 2008, J. Stat. Mech.), nestedness NODF (Almeida-Neto et al. 2008, Oikos).
Source : GloBI · TAXREF v18 (INPN/MNHN) · BDC-Statuts · Wikidata
39 partenaires écologiques documentés directement dans GloBI.
Liste rouge IUCN
VU · Vulnérablecritères C2a(i); D1↗Croissante- Évaluation
- 2016 · v3.1
- Altitude
- 1200 – 4100 m
- Profondeur
- – m
État de la populationTexte officiel évaluation IUCNExpert
Another limitation of the national survey data is that the methods have been altered and improved since they commenced in 1974, and the range and effort of the survey have been inconsistent. The same methods were used for the third and fourth national surveys; although survey effort increased in the fourth survey, most of this increase can be attributed to the larger area covered to capture the expanding range that Pandas now occupy. Thus, comparisons between surveys may not be completely valid, but they are still informative. The first survey (1974–1977) produced an estimate of 2,459 pandas, which decreased dramatically in the second survey (1985–1988) to 1,216 individuals. This approximately 50% drop in population size provided the impetus for the 1988 Wildlife Protection act, which banned Panda poaching, and China’s National Conservation Project for the Giant Panda and its Habitat, which established a reserve system for Pandas (Reid and Gong 1999). By the time of the third survey (2000–2004), the population estimate increased to 1,596, indicating that these protective measures may have been successful. However, uncertainties remained due to the inconsistencies in the methods by which the surveys were implemented (as well as a lack of confidence limits on the point estimates). Although these same limitations still apply, the recent fourth survey showed the Panda population increased further to 1,864, removing most remaining uncertainties regarding population trend. Additionally, Pandas have been documented in many areas outside their known range, including an animal shot in 2015 in Yunnan Province, where they have not been recorded for centuries. An increasing population was not surprising, given that available and occupied habitats have increased.
The optimism engendered by these positive trends is dampened by evidence indicating that some Panda populations are decreasing, particularly those found in the smallest and most degraded habitat patches such as Liangshan, Xiangling and Niuweihe. Approximately 223 pandas occupying 23 isolated habitat patches are considered at high risk of local extinction, and will require increased protection and management (Zhu et al. 2010, 2011b; State Forestry Administration 2015).
Menaces identifiées(17 menaces classées CMP-IUCN)
10_2Earthquakes/tsunamisNegligible declinesMajority (50-90%)Ongoing1_3Tourism & recreation areasNegligible declinesMinority (<50%)Ongoing2_1_2Small-holder farmingNegligible declinesMajority (50-90%)Ongoing2_2_1Small-holder plantationsNegligible declinesMinority (<50%)Ongoing3_2Mining & quarryingNegligible declinesMinority (<50%)Ongoing4_1Roads & railroadsNegligible declinesMinority (<50%)Ongoing4_2Utility & service linesNegligible declinesMinority (<50%)Ongoing5_1_2Unintentional effects (species is not the target)Negligible declinesMajority (50-90%)Ongoing5_2_2Unintentional effects (species is not the target)Negligible declinesMinority (<50%)Ongoing5_3_1Intentional use: (subsistence/small scale) [harvest]Negligible declinesMinority (<50%)Ongoing
+ 7 menaces supplémentaires
Description complète des menacesTexte détaillé évaluation IUCNExpert
Although microsatellite analysis (Lü et al. 2001, Zhang, B. et al. 2007, Shan et al. 2014) and genomics (Li et al. 2010, Zhao et al. 2013) have now determined that the Giant Panda has substantial genetic variability, without increased migration and connectivity, many of these smaller populations will have rapidly eroding evolutionary potential. Three genetic clusters have been recognized: the Qinling Mountains population (Lü et al. 2001, Zhang, B. et al. 2007) which diverged ~0.3 million years ago; the Mishan mountains, which diverged ~2,800 years ago into the Mishan and Qionglai populations (Zhang, B. et al. 2007, Zhao et al. 2013); and the other four combined populations, including Qionglai, Daxiangling, Xiaoziangling, and Liangshan (Zhan et al. 2013). However, in this larger cluster, further sub-structuring is manifest (Zhang, B. et al. 2007, Zhu et al. 2011b). Population divergence is the product of several operating factors, including climate change, natural barriers, and anthropogenic habitat loss.
Threats associated with edge effects, human disturbance, and small population size are most severe in these small, isolated populations. Increased fragmentation from roads, hydroelectric dams, mining, and other infrastructure projects further threaten Panda populations (State Forestry Administration 2015), but these trends are partially counterbalanced through the successful implementation of ecocompensation programs that curtail some activities such as fuel wood collection (Viña et al. 2007) and efforts to increase habitat connectivity between some populations (Wang et al. 2014, Wei et al. 2015a). Tourism is increasing in some areas and if not managed properly, could negatively impact Panda populations (Liu et al. 2012). Pathogens and parasites may be an emerging problem compromising Giant Panda health and survival, particularly in areas where dogs, livestock, and other domesticated animals may introduce novel pathogens (Qin et al. 2010; Zhang, L. et al. 2011, 2015). Air- or water-borne environmental contaminants may also exert negative impacts on Panda populations, but little is known about their prevalence. Livestock grazing, inside and outside of protected areas, represents another, potentially growing threat (Hull et al. 2014, Wang et al. 2015). It should also be noted that protected status of nature reserves does not always confer protection, and some threats have continued even after Panda reserves were gazetted (Liu et al. 2001). These continuing human activities may have cumulative effects that further degrade Panda habitat.
Pandas' reliance on bamboo as a primary food source puts them at risk during this plant's characteristic mass synchronous flowering and die-off events, which occur at intervals of 15 to 100 years (Schaller et al. 1985, Reid et al. 1989). Before human expansion confined Pandas to high elevations, Pandas had access to more species of bamboo adapted to different elevation zones. When one bamboo species experienced a die-off, Pandas could easily migrate up or down slope to access a different species that was not affected. Confined to its more limited elevation range today, Pandas are sometimes put at risk of starvation, especially when more than one bamboo species flowers at the same time. Although past bamboo die-off events were alarming and caused starvation and mortalities in Pandas, populations recovered (Pan et al. 2014) and these population bottlenecks did not compromise genetic diversity (Zhu et al. 2013).
These primary threats associated with habitat fragmentation and degradation may be exacerbated by climate change-mediated effects on Panda habitat in the future. Several models indicate significant losses to Giant Panda habitat, with estimates of loss of bamboo habitat ranging from 37% to 100% by the end of the century (Fan et al. 2012, Songer et al. 2012, Tuanmu et al. 2013, Li, R. et al. 2015). Although these models are simplifying and may not adequately account for distributional shifts of bamboo species adapted to lower elevations and southern latitudes to replace current habitat that might be lost (Wei et al. 2015a), managers should be concerned about large-scale environmental changes facing Panda populations in the future. In addition, climate change may alter the agricultural value of current Giant Panda habitat and bring about intensified human pressure for cultivation. For example, some models indicate that much of Panda habitat will become suitable for viticulture, a high-value crop (Hannah et al. 2013).
Although poaching impacted Pandas in the past (Li et al. 2003), its impact declined rapidly since the enactment of the Wildlife Protection Act, which bans poaching and carries severe punishments. However, Pandas may sometimes be caught in snares set for musk deer or other species.
Habitats préférentiels (classification IUCN)
1_4Forest - Temperate★
Mesures de conservation recommandéesStratégies de conservation IUCNExpert
These efforts to end poaching and protect Panda habitat played a significant role in Panda recovery. The Chinese government also invested in infrastructure and capacity building for reserve staff, established anti-poaching patrol, curtailed human activities inside reserves, and in some cases relocated human settlements from inside to outside of reserves. Other measures directed at broader conservation problems also benefited the Panda. The Natural Forest Conservation Program was implemented in 1997 to reduce the devastating impacts of flooding on human communities due to deforestation and erosion. The program banned logging in most forests in Panda habitat, slowing habitat degradation. Additionally, the Grain-to-Green Program incentivized farmers to plant trees on steep slopes to slow erosion. The result of these policies was the addition of 3 million hectares of forest cover in China annually, an increase of 1.6% per year from 2000 to 2010 (FAO 2010). As a consequence, Panda habitat is recovering and the total occupied habitat has increased by 11.8% between the Third and the Fourth National Surveys; an additional 6.3% increase in suitable but unoccupied habitat was also observed. In the Wolong Nature Reserve, implementation of the Grain-to-Green Program brought about measurable increases in connectivity of Panda habitat (Viña et al. 2007). Thus, these habitat conservation policies are associated with increasing Panda population size, increasing range, and better habitat connectivity. Efforts have also commenced to restore habitat corridors (Wang et al. 2014, Wei et al. 2015a) and to reintroduce captive-born pandas to increase genetic diversity in small, isolated populations.
Ecocompensation has been proposed as an important component of a conservation strategy for pandas (Yang et al. 2013, 2015; Liu et al. 2008, 2015; Tuanmu et al. 2015). Approximately 15% of the remaining unprotected habitat occurs in collectively-owned forests. Payment for ecosystem services, which has already been shown to benefit Panda conservation under the Grain-to-Green Program, could extend conservation measures into these unprotected areas.
Finally, the Giant Panda has been the beneficiary of a massive scientific effort conducted in partnerships between the Chinese government and institutions and international conservation NGOs and zoos (Swaisgood et al. 2010, Wei et al. 2015a, State Forestry Administration 2015). Once poorly understood, there has been an explosion of scientific studies across many disciplines, and this knowledge has increasingly been applied management and policy decisions. Future directions would benefit from even better coordination between science and policy, and the application of adaptive management principles in which experiments are conducted to evaluate management actions that may increase carrying capacity inside protected areas (Swaisgood et al. 2011, Wei et al. 2015a).
China's State Forestry Administration, while rightfully proud of its accomplishments, fully realizes that more work needs to be done to further Panda conservation and to avoid losing ground so painstakingly gained. They plant to continue investing in habitat protection, population monitoring, and protection patrols, and to further develop capacity of reserve staff (State Forestry Administration 2015). They recognize the challenges the future holds, and in particular will seek to address problems of habitat connectivity and population fragmentation.
Actions de conservation (16)Conservation Actions Classification Scheme — IUCNExpert
1_1Site/area protection1_2Resource & habitat protection2_1Site/area management2_3Habitat & natural process restoration3_2Species recovery3_3_1Reintroduction3_4_1Captive breeding/artificial propagation4_2Training4_3Awareness & communications5_1_2National level5_1_3Sub-national level5_4_2National level5_4_3Sub-national level6_1Linked enterprises & livelihood alternatives6_4Conservation payments6_5Non-monetary values
Stress écologiques (32)Stresses Classification — IUCNExpert
1_1Ecosystem conversion1_1Ecosystem conversion1_1Ecosystem conversion1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation1_2Ecosystem degradation2_1Species mortality2_1Species mortality2_1Species mortality2_1Species mortality2_1Species mortality2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance2_2Species disturbance
Usage & commerce (3)Use & Trade — IUCNExpert
1Food - humansubsistance13Pets/display animals, horticulturenational15Sport hunting/specimen collectingnational
Priorités de recherche (6)Research Needed Classification — IUCNExpert
1_5Threats1_6Actions2_1Species Action/Recovery Plan2_2Area-based Management Plan3_1Population trends3_4Habitat trends
Niche IUCN globaleRealms · Systems · LMEs · Growth forms · FAOs — biogéographie IUCNExpert
Royaumes biogéographiques
Systèmes (terrestre/eau douce/marin)
Références bibliographiques (30)Sources scientifiques de l'évaluation IUCNExpert
- IUCN. 2017. The IUCN Red List of Threatened Species. Version 2017-3. Available at: <a href="www.iucnredlist.org">www.iucnredlist.org</a>. (Accessed: 5 December 2017).
- IUCN. 2016. The IUCN Red List of Threatened Species. Version 2016-2. Available at: <a href="www.iucnredlist.org">www.iucnredlist.org</a>. (Accessed: 04 September 2016).
- Tuanmu, M.N., Viña, A., Yang, W., Chen, X., Shortridge, A.M. and Liu, J. 2016. Effects of payments for ecosystem services on wildlife habitat recovery. <i>Conservation Biology</i> 30(4): 827–835.
- Wei, F.W., Nie, Y.G., Zhang, Z.J., Hu, Y.B., Yan, L., Qi, D.W., Li, X.H. and Wei, F.W. 2015b. Hunting bamboo: Foraging patch selection and utilization by giant pandas and implications for conservation. <i>Biological Conservation</i> 186: 260-267.
- Wei, F.W., Swaisgood, R.R., Hu, Y.B., Nie, Y.G., Yan, L., Zhang, Z.J., Qi, D.W. and Zhu, L.F. 2015a. Progress in the ecology and conservation of giant pandas. <i>Conservation Biology</i> 29: 1497-1507.
- Hull, V., Zhang, J., Zhou, S., Huang, J., Li, R., Liu, D., Xu, W., Huang, Y., Ouyang, S., Zhang, H., and Liu J. 2015. Space use by endangered giant pandas. <i>Journal of Mammalogy</i> 96: 230-236.
- Sichuan Forestry Department. 2015. The Pandas of Sichuan: The 4th Survey Report on Giant Panda in Sichuan Province. Sichuan Science and Technology Press: Chengdu.
- Wang, F., McShea, W.J., Wang, D. and Li, S. 2015. Shared resources between giant panda and sympatric wild and domestic mammals. <i>Biological Conservation</i> 186: 319-325.
- Li, R.Q., Xu, M., Wang, M.H.G., Qiu S., Li X., Ehrenfeld D., and Li D. 2015. Climate change threatens giant panda protection in the 21st century. <i>Biological Conservation</i> 182: 93-101.
- Nie, Y., Speakman, J. R., Wu, Q., Zhang, C., Hu, Y., Xia, M., Yan, L., Hambly, C., Wang, L., Wei, W., Zhang, J., and Wei,F. 2015. Exceptionally low daily energy expenditure in the bamboo-eating giant panda. <i>Science</i> 349: 171-174.
- Li, X., Jiang, G., Tian, H., Xu, L., Yan, C., Wang, Z., Wei, F. and Zhang, Z. 2015. Human impact and climate cooling caused range contraction of large mammals in China over the past two millennia. <i>Ecography</i> 38: 74-82.
- Martin-Wintle, M.S., Shepherdson, D.J., Zhang, G., Li, D., Zhou, Z., Li, R., Zhang, H. and Swaisgood, R.R. 2015. Free mate choice enhances conservation breeding in the endangered giant panda. <i>Nature Communications</i>.
- Zhang, L., Wu, Q., Hu, Y.B., Wu, H. and Wei, F.W. 2015. Major histocompatibility complex alleles associated with parasite susceptibility in wild giant pandas. <i>Heredity</i> 114: 85-93.
- State Forestry Administration of China. 2015. Release of the fourth national survey report on giant panda in China. State Forestry Administration, Beijing.
- Nie, Y.G., Zhang, Z.J., Raubenheimer, D., Elser, J., Wei, W. and Wei, F.W. 2014. Obligate herbivory in an ancestrally carnivorous lineage: the giant panda and bamboo from the perspective of nutritional geometry. <i>Functional Ecology</i> 29: 26-34.
- Fan, J., Li, J., Xia, R., Hu, L., Wu, X. and Li, G. 2014. Assessing the impact of climate change on the habitat distribution of the Giant Panda in the Qinling Mountains of China. <i>Ecological Modelling</i> 274: 12-20.
- Wei, F.W., Hu, Y.B., Yan, L., Nie, Y.G., Wu, Q., and Zhang, Z.J. 2014. Giant pandas are not an evolutionary cul-de-sac: Evidence from multidisciplinary research. <i>Molecular Biology and Evolution</i> 32: 4-12.
- Hull, V., Zhang, J., Zhou, S., Huang, J., Viña, A., Liu, W., Tuanmu, M.N., Li, R., Liu, D., Xu, W. and Huang, Y. 2014. Impact of livestock on giant pandas and their habitat. <i>Journal for Nature Conservation</i> 22: 256-264.
- Shan, L., Hu, Y.B., Zhu, L.F., Yan, L., Wang, C.D., Li, D.S., Jin, X.L., Zhang, C.L. and Wei, F.W. 2014. Large-scale genetic survey provides insights into the captive management and reintroduction of giant pandas. <i>Molecular Biology and Evolution</i> 31(10): 2663-2671.
- Zhang, Z.J., Sheppard, J., Zhu, J., Wei, F.W., Swaisgood, R.R., Wang, G., Nie, Y.G., Wei, W. and Wei, F.W. 2014. Ecological scale and seasonal heterogeneity in the spatial behaviors of giant pandas. <i>Integrative Zoology</i> 9: 46-60.
- Wang, F., McShea, W.J., Wang, D., Li, S., Zhao, Q., Wang, H. and Lu, Z. 2014. Evaluating landscape options for corridor restoration between giant panda reserves. <i>PloS ONE</i> 9.
- Hannah, L., Roehrdanz, P.R., Ikegami, M., Shepard, A.V., Shaw, M.R., Tabor, G., Lu, Z., Marquet, P.A. and Hijmans, R.J. 2013. Climate change, wine, and conservation. <i>Proceedings of the National Academy of Sciences of the United States of America</i> 110: 6907-6912.
- Zhao S1, Zheng P, Dong S, Zhan, X., Wu, Q., Guo, X., Hu, Y., He, W., Zhang, S., Fan, W., Zhu, L., Li, D., Zhang, X., Chen, Q., Zhang, H., Zhang, Z,. Jin, X., Zhang, J., Yang, H., Wang, J., Wang, J., and Wei, F. 2013. Whole genome sequencing of giant pandas provides insights into demographic history and local adaptation. <i>Nature Genetics</i> 45: 67-71.
- Tuanmu, M.N., Viña, A., Winkler, J.A., Li, Y., Xu, W., Ouyang, Z., and Liu, J. 2013. Climate-change impacts on understorey bamboo species and giant pandas in China's Qinling Mountains. <i>Nature Climate Change</i> 3: 249-253.
- Zhu, L.F., Hu, Y.B., Qi, D.W., Wu, H., Zhan, X., Zhang, Z., Bruford, M.W, Wang, J., Yang, X., Gu, X., Zhang, L., Zhang, B., Zhang, S., and Wei, F. 2013. Genetic consequences of historical anthropogenic and ecological events on giant pandas. <i>Ecology</i> 94: 2346-2357.
- Nie, Y.G., Swaisgood, R.R., Zhang, Z.J., Liu, X.B. and Wei, F.W. 2012b. Reproductive competition and fecal testosterone in wild male giant pandas (<i>Ailuropoda melanoleuca</i>). <i>Behavioral Ecology and Sociobiology</i> 66: 721-730.
- Nie, Y.G., Swaisgood, R.R., Zhang, Z.J., Hu, Y.B., Ma, Y.S. and Wei, F.W. 2012a. Giant panda scent-marking strategies in the wild: role of season, sex and marking surface. <i>Animal Behaviour</i> 84: 39-44.
- Qi, D.W., Zhang, Z.J., Hu, Y.B., Yang, X.Y., Wang, H.J. and Wei, F.W. 2012. Measures of giant panda habitat selection across multiple spatial scales for species conservation. <i>Journal of Wildlife Management</i> 76: 1092-1100.
- Wei, F.W., Hu, Y.B., Zhu, L.F., Bruford, M.W., Zhan, X.J. and Zhang, L. 2012. Black and white and read all over: the past, present and future of giant panda genetics. <i>Molecular Ecology</i> 21: 5660-5674.
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Évaluateurs & contributeurs (3)Personnes ayant contribué à l'évaluation IUCNExpert
Swaisgood, R., Wang, D. & Wei, F. 2016. Ailuropoda melanoleuca (errata version published in 2017). The IUCN Red List of Threatened Species 2016: e.T712A121745669. Accessed on 05 May 2026.
Traits biologiques
Morphologie(4)
Cycle de vie(1)
Voir 15 traits de plus (2 catégories)Replier
Reproduction(6)
Écologie & habitat(9)
Sources priorisées par qualité scientifique (peer-reviewed spécialisées → Wikidata fallback). Unités auto-converties, valeur max retenue en cas de mesures multiples. Méthodologie · Citations.
Répartition mondiale
Aucune observation géoréférencée avec précision suffisante (<10 km) dans GBIF pour cette espèce.
Consulter sur les bases externes
Observations & statuts
Cartographie
Note nomenclaturale & synonymesDétails taxonomiques + synonymes CoLExpert
Note nomenclaturale
TAXREF v18 — INPN/MNHNSynonymes (1)— redirigent vers cette page
- Ursus melanoleucusDavid, 1869
Sources : Catalogue of Life Cross-References (synonymes) · TAXREF v18 INPN/MNHN (commentaires FR).