| Title |
Estimating biodiversity impacts without field surveys: A case study in northern Borneo
|
|---|---|
| Published in |
Ambio, July 2015
|
| DOI | 10.1007/s13280-015-0683-3 |
| Pubmed ID | |
| Authors |
Justin Kitzes, Rebekah Shirley |
| Abstract |
In many regions of the world, biodiversity surveys are not routinely conducted prior to activities that lead to land conversion, such as development projects. Here we use top-down methods based on global range maps and bottom-up methods based on macroecological scaling laws to illuminate the otherwise hidden biodiversity impacts of three large hydroelectric dams in the state of Sarawak in northern Borneo. Our retrospective impact assessment finds that the three reservoirs inundate habitat for 331 species of birds (3 million individuals) and 164 species of mammals (110 million individuals). A minimum of 2100 species of trees (900 million individuals) and 17 700 species of arthropods (34 billion individuals) are estimated to be affected by the dams. No extinctions of bird, mammal, or tree species are expected due to habitat loss following reservoir inundation, while 4-7 arthropod species extinctions are predicted. These assessment methods are applicable to any data-limited system undergoing land-use change. |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 22% |
| Researcher | 11 | 16% |
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Doctoral Student | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 23 | 34% |
| Agricultural and Biological Sciences | 17 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Social Sciences | 2 | 3% |
| Arts and Humanities | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 July 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Ambio
#1,586
of 1,628 outputs
Outputs of similar age
#219,445
of 262,630 outputs
Outputs of similar age from Ambio
#14
of 15 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 262,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.