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Mendeley readers
Attention Score in Context
| Title |
Synergizing community-based forest monitoring with remote sensing: a path to an effective REDD+ MRV system
|
|---|---|
| Published in |
Carbon Balance and Management, December 2017
|
| DOI | 10.1186/s13021-017-0087-8 |
| Pubmed ID | |
| Authors |
M. S. R. Murthy, Hammad Gilani, Bhaskar Singh Karky, Eklabya Sharma, Marieke Sandker, Upama Ashish Koju, Shiva Khanal, Mohan Poudel |
| Abstract |
The reliable monitoring, reporting and verification (MRV) of carbon emissions and removals from the forest sector is an important part of the efforts on reducing emissions from deforestation and forest degradation (REDD+). Forest-dependent local communities are engaged to contribute to MRV through community-based monitoring systems. The efficiency of such monitoring systems could be improved through the rational integration of the studies at permanent plots with the geospatial technologies. This article presents a case study of integrating community-based measurements at permanent plots at the foothills of central Nepal and biomass maps that were developed using GeoEye-1 and IKONS satellite images. The use of very-high-resolution satellite-based tree cover parameters, including crown projected area (CPA), crown density and crown size classes improves salience, reliability and legitimacy of the community-based survey of 0.04% intensity at the lower cost than increasing intensity of the community-based survey to 0.14% level (2.5 USD/ha vs. 7.5 USD/ha). The proposed REDD+ MRV complementary system is the first of its kind and demonstrates the enhancement of information content, accuracy of reporting and reduction in cost. It also allows assessment of the efficacy of community-based forest management and extension to national scale. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nepal | 1 | 20% |
| Pakistan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Student > Master | 14 | 18% |
| Other | 8 | 11% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 26 | 34% |
| Earth and Planetary Sciences | 8 | 11% |
| Agricultural and Biological Sciences | 7 | 9% |
| Social Sciences | 6 | 8% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2018.
All research outputs
#6,198,338
of 23,009,818 outputs
Outputs from Carbon Balance and Management
#102
of 236 outputs
Outputs of similar age
#122,175
of 437,935 outputs
Outputs of similar age from Carbon Balance and Management
#2
of 5 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.