Momoge National Nature Reserve

Zhenlai, China

Momoge National Nature Reserve

Zhenlai, China
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Liu G.,Chinese Academy of Forestry | Hu X.,Beijing Forestry University | Shafer A.B.A.,Trent University | Gong M.,Chinese Academy of Forestry | And 7 more authors.
Journal of Ornithology | Year: 2017

Wintering areas affect population processes and genetic structuring of many bird species. The Asian Great Bustard (Otis tarda dybowskii) is declining across its range as its breeding and wintering grounds become more fragmented. No genetic information for this vulnerable subspecies in the wild exists. We used noninvasive fecal sampling and mitochondrial sequencing to quantify the level of genetic diversity and the extent of genetic differentiation within and among the wintering populations. Bayesian skyline plot (BSP) analysis was conducted to assess changes in population size over the last several thousand years. Overall, 17 haplotypes were identified in 101 individuals from six wintering grounds, with mean haplotype diversity of 0.90 ± 0.02. Significant population differentiation among wintering grounds was observed [population pairwise test (ΦST) = 0.13, p < 0.001], with genetic differentiation associated with geographical distance (R2 = 0.26, p < 0.05) and pairwise tests consistent with some degree of population admixture. The BSP exhibited a gradual increase in effective population size beginning around 28,000 years ago, but a decrease starting approximately 4000 years ago. Given that China has the most important wintering grounds for the Asian Great Bustard, and that these are becoming increasingly fragmented, it is likely necessary to establish more protected areas to facilitate the protection and monitoring of wintering Great Bustards. © 2017, Dt. Ornithologen-Gesellschaft e.V.


Sun Q.-Q.,Beijing Forestry University | Shi K.,Beijing Forestry University | Damerell P.,Beijing Forestry University | Whitham C.,Beijing Forestry University | And 2 more authors.
Science of the Total Environment | Year: 2013

Riparian wetland ecosystems have been described as significant hotspots for carbon dioxide (CO2) and methane (CH4) fluxes, but their role in the release and sequestration of these greenhouse gases has been insufficiently assessed within China. The influences of vegetation and soil parameters on daily and seasonal variations in carbon flux in the Nenjiang basin, northeast China, were recorded using a static closed-chamber technique during the non-growing (November and January) and growing (June, July and August) seasons of 2009-2010. Seasonal differences in average CO2 flux were observed (growing season: 6.605g·C·m-2h-1; non-growing season: -0.185g·C·m-2h-1) and these were significantly correlated with CH4 emission (r=0.532, p=0.011) and soil temperature at 5cm depth below ground (r=0.852, p=0.000). Average diel gaseous flux showed significant variation between hours for both gases (CO2 flux one-way ANOVA F=3.075, p<0.01; CH4 flux one way ANOVA F=2.622, p<0.05). Various significant correlations were also found between CH4 and CO2 fluxes and multiple vegetation and soil parameters. For example at both sites, growing season-CH4 flux was correlated with vegetation cover (r=0.580, p<0.05) and total vegetation phosphorous (r=0.474, p<0.05). This study allowed key temporal differences in gas release and their potential biotic and abiotic drivers to be identified. Crucially, it also highlighted important areas in need of further research, to enhance our understanding of gaseous flux from inland riparian habitats. © 2013 Elsevier B.V.


Jiang H.,CAS Changchun Northeast Institute of Geography and Agroecology | Jiang H.,Chinese Academy of Forestry | Liu C.,CAS Changchun Northeast Institute of Geography and Agroecology | Sun X.,Momoge National Nature Reserve | And 4 more authors.
Wetlands | Year: 2015

Traditional water depth survey of waterbird habitats takes huge amount of labor, time and money. The optical remote sensing image from passive multispectral scanner has been widely employed to estimate water depth. We developed a water depth model based on the characteristics of visible and near infrared spectra of Landsat ETM+ image at Etoupao shallow wetland. The wetland is the largest stopover habitat of the critically-endangered Siberian Crane, which mainly feed on the tubers of Scirpus planiculmis and S. nipponicus. Water control is critical for maintaining tubers production and food availability for the crane. Multi-band approach is employed in the model, which effectively simulates water depth for the shallow wetland. The parameters of NDVI and GREEN in the model indicated that the vegetation growth and coverage affecting reflectance from water column change were uneven. Combined with observed water level data in the same day of image acquisition, the digital elevation model (DEM) for underwater terrain was generated. The findings provide a good reference to manage water level and water demand, and create suitable foraging habitats for the crane. The methods can be adapted for underwater terrain simulation and water management in waterbirds habitats, especially in the shallow heterogeneous wetlands. © 2015, Society of Wetland Scientists.


Sun Q.-Q.,Beijing Forestry University | Whitham C.,Beijing Forestry University | Shi K.,Beijing Forestry University | Yu G.-H.,Momoge National Nature Reserve | Sun X.-W.,Momoge National Nature Reserve
Hydrology Research | Year: 2012

Using static, closed chambers and gas chromatography techniques, nitrous oxide (N2O) emissions have been monitored for 1 year (2009-2010) on an inland running waterbody downstream of the Nenjiang basin, China. During the freezing period, holes were dug in the ice in order to obtain nitrous oxide samples. Here, we have focused on water-air gas exchange and factors which might influence N2O emissions and flux. Initial results indicate: (1) N2O flux rates reach peak emission in January and the annual emissions of N2O were low, being estimated at 0.35±0.20 μgm-2 h-1; significant seasonal differences only appeared between January and July; (2) N2O flux rates have strong regularity and ice has been the main barrier to nitrous oxide release during winter; (3) 24-hour monitoring revealed that N2O flux remained steady during 9:00-17:00; (4) N2O emissions have significant relationships with ammonium nitrogen and total phosphorus concentrations in water (r = 0.4467, p = 0.020 and r = 0.4793, p = 0.011, respectively). The N2O flux released from the waterbody is determined by the chemical concentrations in the water. Following these results, we suggest that moderate use of N and P fertilizer at intensive agricultural areas will be beneficial in decreasing greenhouse gas emissions from this waterbody. © IWA Publishing 2012.

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