scholarly journals Community level response of leaf stoichiometry to slope aspect in a montane environment: A case study from the Central Qilian Mountains, China

2021 ◽  
pp. e01703
Author(s):  
Yanyan Qin ◽  
Qi Feng ◽  
Jan F. Adamowski ◽  
Meng Zhu ◽  
Xiaofang Zhang
Keyword(s):  
Qilian Mountains ◽  
Community Level ◽  
Slope Aspect ◽  
Leaf Stoichiometry

scholarly journals Leaf Stoichiometry of Potentilla Fruticosa Across Elevations Ranging from 2400 m to 3800 m in China’s Qilian Mountains (Northeast Qinghai-Tibetan Plateau)

2021 ◽  
Author(s):  
Wei Liu ◽  
yanyan Qin ◽  
Zhang Xiaofang ◽  
Jan F. Adamowski ◽  
Asim Biswas
Keyword(s):  
Tibetan Plateau ◽  
Leaf Nitrogen ◽  
Qilian Mountains ◽  
Slope Aspect ◽  
Organic C ◽  
Potentilla Fruticosa ◽  
Sparse Vegetation ◽  
P Loss ◽  
Leaf Stoichiometry ◽  
High Precipitation

Abstract Background: Plant species have developed their individual leaf stoichiometries to adapt to changes in the environment. Changes in plant leaf stoichiometry with elevation are largely undocumented, but could provide information critical to protecting or enhancing a species’ growth and development and manage the ecosystem housing it. We investigate the leaf stoichiometry of Potentilla fruticosa L. along with different elevations in China’s Qilian mountains (Northeast Qinghai-Tibetan Plateau). This study aims to reveal how elevations effect of the leaf stoichiometry of Potentilla fruticosa L. along with various soil properties in China’s Qilian mountains .Results: In our study, we selected seven elevations 2,400 m, 2,600 m, 2,800 m, 3,000 m, 3,200 m, 3,500 m, and 3,800 m elevation. We sampled leaves at top and middle of P. fruticosa from each of seven elevations. Maximum and minimum leaf carbon (C) concentrations ([C]leaf) of 523.59 g kg-1 and 402.56 g kg-1 were measured at 2,600 m and 3,500 m, respectively. Showing a generally increasing trend with elevation, leaf nitrogen (N) concentration ([N]leaf) peaked at 3,500 m (27.33 g kg-1). Leaf phosphorus (P) concentration ([P]leaf) varied slightly over elevations of 2,400 m to 3,200 m, then dropped to a minimum (0.60 g kg-1) at 3800 m. While [C]leaf:[N]leaf, [C]leaf:[P]leaf and [N]leaf:[P]leaf varied little between 2,400 m and 3,000 m, at higher elevations they fluctuated somewhat, the latter two showing a decrease at 3,200 m followed by an increase at higher elevations. The soil organic C, pH, and soil total P were the main factors influencing P. fruticosa leaf stoichiometry. The limiting nutrients were P. Conclusions: We highlight the dependency of leaf stoichiometry on slope aspect and elevation. As P. fruticosa is a major alpine shrub in this region and plays an important role in maintaining ecological functions and services on the Qinghai-Tibetan Plateau, measures should be adopted to improve P. fruticosa growth by preventing P loss, especially at higher elevations where significant P losses occur due to high precipitation and sparse vegetation.

Analysis on factors of glacier velocity:A case study of the Qiyi Glacier,Qilian Mountains

2012 ◽  
Vol 4 (4) ◽  
pp. 275
Author(s):  
Jing Zhe-Fan ◽  
Liu Li ◽  
Zhou Zai-Ming ◽  
Deng Yu-Feng
Keyword(s):  
Qilian Mountains

scholarly journals Who could be One Health Activist at the community level?: A case for India

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sandul Yasobant ◽  
Walter Bruchhausen ◽  
Deepak Saxena ◽  
Farjana Zakir Memon ◽  
Timo Falkenberg
Keyword(s):  
Health System ◽  
Work Experience ◽  
Financial Incentives ◽  
One Health ◽  
Health Workers ◽  
Structured Interview ◽  
Communicable Diseases ◽  
Community Level ◽  
System Level

Abstract Background Community health workers (CHWs) are the mainstay of the public health system, serving for decades in low-resource countries. Their multi-dimensional work in various health care services, including the prevention of communicable diseases and health promotion of non-communicable diseases, makes CHWs, the frontline workers in their respective communities in India. As India is heading towards the development of One Health (OH), this study attempted to provide an insight into potential OH activists (OHA) at the community level. Thus, this case study in one of India’s western cities, Ahmedabad, targeted identifying OHA by exploring the feasibility and the motivation of CHWs in a local setting. Methods This case study explores two major CHWs, i.e., female (Accredited Social Health Activists/ASHA) health workers (FHWs) and male (multipurpose) health workers (MHWs), on their experience and motivation for becoming an OHA. The data were collected between September 2018 and August 2019 through a mixed design, i.e., quantitative data (cross-sectional structured questionnaire) followed by qualitative data (focus group discussion with a semi-structured interview guide). Results The motivation of the CHWs for liaisoning as OHA was found to be low; however, the FHWs have a higher mean motivation score [40 (36–43)] as compared to MHWs [37 (35–40)] out of a maximum score of 92. Although most CHWs have received zoonoses training or contributed to zoonoses prevention campaigns, their awareness level was found to be different among male and female health workers. Comparing the female and male health workers to act as OHA, higher motivational score, multidisciplinary collaborative work experience, and way for incentive generation documented among the female health workers. Conclusion ASHAs were willing to accept the additional new liaison role of OHAs if measures like financial incentives and improved recognition are provided. Although this study documented various systemic factors at the individual, community, and health system level, which might, directly and indirectly, impact the acceptance level to act as OHA, they need to be accounted for in the policy regime.

scholarly journals 3D ESTIMATION OF SLOW GROUND MOTION USING INSAR AND THE SLOPE ASPECT ASSUMPTION, A CASE STUDY: THE PUNCAK PASS LANDSLIDE, INDONESIA

2019 ◽  
Vol IV-2/W5 ◽  
pp. 623-630
Author(s):  
N. H. Isya ◽  
W. Niemeier ◽  
M. Gerke
Keyword(s):  
Continuous Monitoring ◽  
Nearest Neighbor ◽  
Primary Objective ◽  
Ground Movement ◽  
Slope Aspect ◽  
Main Body ◽  
Landslide Area ◽  
Phase Filter ◽  
Active Landslide

<p><strong>Abstract.</strong> The Indonesian Centre of Volcanology and Geological Hazard Mitigation classified the Ciloto district as one of the most landslide prone areas in Indonesia. Some evidence of ground movement and the landslide failures occurred in recent years. Thus, continuous monitoring is necessary for supporting the precautions of an upcoming landslide. This study applies Small Baselines - Slowly Decorrelated Phase Filter (SDPF) for InSAR processing both for the ascending and the descending data. The primary objective is to generate horizontal and vertical components of InSAR results from two different tracks and slope aspect information in order to retrieve a projection to the northward direction. We used the available Sentinel-1 SAR data from 2014 until 2018. Combination of two orbits is approached by the surface and the nearest-neighbor gridding method. The 3D components were examined at the Puncak Pass, Ciloto, an active landslide area. For the case study area, it appeared that soil materials transferred slowly from the top of main body landslide to the accumulated zone near to the buildings owned by a local resort. The cumulative 3D displacements for three years were computed for the depleted zone: it moved &amp;minus;47, 23, &amp;minus;10 mm for dU, dE and dN, respectively. Meanwhile, the accumulated zone was considered having the up-lift motion to maximum 43, &amp;minus;13, 7 mm, respectively.</p>

scholarly journals SPATIOLTEMPORAL MODELING THE IMPACT OF SURFACE CHARACTERISTICS VARIATIONS ON LAND SURFACE TEMPERATURE VARIATIONS: A CASE STUDY OF SAMALGHAN VALLY

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 401-405
Author(s):  
M. K. Firozjaei ◽  
M. Makki ◽  
J. Lentschke ◽  
M. Kiavarz ◽  
S. K. Alavipanah
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Single Channel ◽  
Incident Angle ◽  
Surface Characteristics ◽  
Slope Aspect ◽  
Biophysical Parameters ◽  
The Impact

Abstract. Spatiotemporal mapping and modeling of Land Surface Temperature (LST) variations and characterization of parameters affecting these variations are of great importance in various environmental studies. The aim of this study is a spatiotemporal modeling the impact of surface characteristics variations on LST variations for the studied area in Samalghan Valley. For this purpose, a set of satellite imagery and meteorological data measured at the synoptic station during 1988–2018, were used. First, single-channel algorithm, Tasseled Cap Transformation (TCT) and Biophysical Composition Index (BCI) were employed to estimate LST and surface biophysical parameters including brightness, greenness and wetness and BCI. Also, spatial modeling was used to modeling of terrain parameters including slope, aspect and local incident angle based on DEM. Finally, the principal component analysis (PCA) and the Partial Least Squares Regression (PLSR) were used to modeling and investigate the impact of surface characteristics variations on LST variations. The results indicated that surface characteristics vary significantly for case study in spatial and temporal dimensions. The correlation coefficient between the PC1 of LST and PC1s of brightness, greenness, wetness, BCI, DEM, and solar local incident angle were 0.65, −0.67, −0.56, 0.72, −0.43 and 0.53, respectively. Furthermore, the coefficient coefficient and RMSE between the observed LST variation and modelled LST variation based on PC1s of brightness, greenness, wetness, BCI, DEM, and local incident angle were 0.83 and 0.14, respectively. The results of study indicated the LST variation is a function of s terrain and surface biophysical parameters variations.

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