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Smallholder Farms as Stepping Stone Corridors for Crop-Raiding Elephant in Northern Tanzania: Integration of Bayesian Expert System and Network Simulator

Overview of attention for article published in Ambio, September 2013
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Title
Smallholder Farms as Stepping Stone Corridors for Crop-Raiding Elephant in Northern Tanzania: Integration of Bayesian Expert System and Network Simulator
Published in
Ambio, September 2013
DOI 10.1007/s13280-013-0437-z
Pubmed ID
Authors

Claudia Pittiglio, Andrew K. Skidmore, Hein A. M. J. van Gils, Michael K. McCall, Herbert H. T. Prins

Abstract

Crop-raiding elephants affect local livelihoods, undermining conservation efforts. Yet, crop-raiding patterns are poorly understood, making prediction and protection difficult. We hypothesized that raiding elephants use corridors between daytime refuges and farmland. Elephant counts, crop-raiding records, household surveys, Bayesian expert system, and least-cost path simulation were used to predict four alternative categories of daily corridors: (1) footpaths, (2) dry river beds, (3) stepping stones along scattered small farms, and (4) trajectories of shortest distance to refuges. The corridor alignments were compared in terms of their minimum cumulative resistance to elephant movement and related to crop-raiding zones quantified by a kernel density function. The "stepping stone" corridors predicted the crop-raiding patterns. Elephant presence was confirmed along these corridors, demonstrating that small farms located between refuges and contiguous farmland increase habitat connectivity for elephant. Our analysis successfully predicted elephant occurrence in farmland where daytime counts failed to detect nocturnal presence. These results have conservation management implications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 1%
Germany 1 <1%
France 1 <1%
Botswana 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Mexico 1 <1%
Unknown 131 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 23%
Researcher 18 13%
Student > Bachelor 14 10%
Student > Master 13 9%
Student > Doctoral Student 11 8%
Other 23 17%
Unknown 28 20%
Readers by discipline Count As %
Environmental Science 40 29%
Agricultural and Biological Sciences 36 26%
Social Sciences 5 4%
Earth and Planetary Sciences 5 4%
Engineering 3 2%
Other 9 6%
Unknown 41 29%
Attention Score in Context

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 05 November 2018.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Ambio
#1,563
of 1,667 outputs
Outputs of similar age
#148,185
of 198,476 outputs
Outputs of similar age from Ambio
#13
of 14 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,667 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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