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| Content Provider | Springer Nature Link |
|---|---|
| Author | Pittiglio, Claudia Skidmore, Andrew K. Gils, Hein A. M. J. McCall, Michael K. Prins, Herbert H. T. |
| Copyright Year | 2013 |
| 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. |
| Starting Page | 149 |
| Ending Page | 161 |
| Page Count | 13 |
| File Format | |
| ISSN | 00447447 |
| Journal | AMBIO |
| Volume Number | 43 |
| Issue Number | 2 |
| e-ISSN | 16547209 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2013-09-03 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Ecological corridors Bayesian expert system Human–elephant conflict Crop damage control Farms Movement behavior Environment Ecology Atmospheric Sciences Physical Geography Environmental Management Environmental Engineering/Biotechnology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Ecology Environmental Chemistry Medicine |
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