Optical Sensing in Tibet Plateau Wildlife Observation Based on Tethered balloon

The ability to detect nanoscale objects is particular crucial for a wide range of applications, such as environmental protection, early-stage disease diagnosis and drug discovery. Photonic crystal nanobeam cavity (PCNC) sensors have attracted great attention due to high-quality factors and small-mode volumes (Q/V) and good on-chip integrability with optical waveguides/circuits. In this review, we focus on nanoscale optical sensing based on PCNC sensors, including ultrahigh figure of merit (FOM) sensing, single nanoparticle trapping, label-free molecule detection and an integrated sensor array for multiplexed sensing. We believe that the PCNC sensors featuring ultracompact footprint, high monolithic integration capability, fast response and ultrahigh sensitivity sensing ability, etc., will provide a promising platform for further developing lab-on-a-chip devices for biosensing and other functionalities.

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Phylogeny and biogeography of Primula sect. Armerina: implications for plant evolution under climate change and the uplift of the Qinghai-Tibet Plateau

BMC Evolutionary Biology ◽

10.1186/s12862-015-0445-7 ◽

2015 ◽

Vol 15 (1) ◽

Cited By ~ 18

Author(s):

Guangpeng Ren ◽

Elena Conti ◽

Nicolas Salamin

Keyword(s):

Climate Change ◽

Plant Evolution ◽

Tibet Plateau ◽

Qinghai Tibet Plateau

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Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

Remote Sensing ◽

10.3390/rs13061180 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1180

Author(s):

Da Guo ◽

Xiaoning Song ◽

Ronghai Hu ◽

Xinming Zhu ◽

Yazhen Jiang ◽

...

Keyword(s):

Large Scale ◽

Net Primary Production ◽

Carbon Sink ◽

Carbon Sources ◽

Spatial Dynamics ◽

Tibet Plateau ◽

Geostatistical Model ◽

Hindu Kush ◽

Temporal And Spatial ◽

The Difference

The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in the world. Several studies have been conducted on the dynamic changes of grassland in the HKH region, but few have considered grassland net ecosystem productivity (NEP). In this study, we quantitatively analyzed the temporal and spatial changes of NEP magnitude and the influence of climate factors on the HKH region from 2001 to 2018. The NEP magnitude was obtained by calculating the difference between the net primary production (NPP) estimated by the Carnegie–Ames Stanford Approach (CASA) model and the heterotrophic respiration (Rh) estimated by the geostatistical model. The results showed that the grassland ecosystem in the HKH region exhibited weak net carbon uptake with NEP values of 42.03 gC∙m−2∙yr−1, and the total net carbon sequestration was 0.077 Pg C. The distribution of NEP gradually increased from west to east, and in the Qinghai–Tibet Plateau, it gradually increased from northwest to southeast. The grassland carbon sources and sinks differed at different altitudes. The grassland was a carbon sink at 3000–5000 m, while grasslands below 3000 m and above 5000 m were carbon sources. Grassland NEP exhibited the strongest correlation with precipitation, and it had a lagging effect on precipitation. The correlation between NEP and the precipitation of the previous year was stronger than that of the current year. NEP was negatively correlated with temperature but not with solar radiation. The study of the temporal and spatial dynamics of NEP in the HKH region can provide a theoretical basis to help herders balance grazing and forage.

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