Characterization of Illegal Wildlife Trade Networks

The legal and illegal trade in wild animals and their products is a multi-billion dollar industry that threatens the health and well-being of humans and animals alike. The management of the wildlife trade is a crisis-driven area, where decisions are made quickly, and, often, inefficiently. In partic...

Full description

Saved in:  
Bibliographic Details
Main Author: Patel, Nikkita Gunvant (Author)
Format: Electronic Book
Language:English
Published: 2015
In:Year: 2015
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway

MARC

LEADER 00000nam a22000002 4500
001 1866148109
003 DE-627
005 20231018043712.0
007 cr uuu---uuuuu
008 231018s2015 xx |||||o 00| ||eng c
035 |a (DE-627)1866148109 
035 |a (DE-599)KXP1866148109 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 2,1  |2 ssgn 
100 1 |a Patel, Nikkita Gunvant  |e VerfasserIn  |4 aut 
245 1 0 |a Characterization of Illegal Wildlife Trade Networks 
264 1 |c 2015 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a The legal and illegal trade in wild animals and their products is a multi-billion dollar industry that threatens the health and well-being of humans and animals alike. The management of the wildlife trade is a crisis-driven area, where decisions are made quickly, and, often, inefficiently. In particular, the regulation and control of the illegal wildlife trade is hampered by a dearth of formal quantitative analysis of the nature of the trade. This thesis represents a preliminary attempt to rectify that knowledge gap. It describes an investigation into the factors that support and promote the trade and is based upon information in two databases: CITES (the legal trade) and HealthMap (the illegal trade). The study 1) quantified the relationship between the illegal wildlife trade and several key factors thought to contribute to the illegal wildlife trade, namely road development, unemployment, and Corruption Perception Index (a score related to the perceived level of corruption); 2) measured the extent to which the product types, origins, destinations, and trade routes in the legal and the illegal wildlife trade are alike; and 3) identified locations to place resources to (a) restrict trade by causing the greatest network destabilization and (b) disseminate an educational message that would cause the greatest impact to the network. Several key factors and the legal trade were associated with the magnitude of various indices of the illegal trade at a country-level, but no generalizable findings can be asserted at this time. With regard to the best placement of regulatory resources, China was key with respect to network disruption and information dissemination targets. This thesis has begun the urgently needed analysis of the complex relationships of the illegal wildlife trade and identified specific ways to bring about change using network science. These findings offer hope for regulatory and enforcement agencies, NGOs, and governments that it will be possible to find more effective ways of combating the illegal wildlife trade and problems it brings with it 
856 4 0 |u https://core.ac.uk/download/76388029.pdf  |x Verlag  |z kostenfrei  |3 Volltext 
912 |a NOMM 
935 |a mkri 
951 |a BO 
ELC |a 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 4391828863 
LOK |0 003 DE-627 
LOK |0 004 1866148109 
LOK |0 005 20231018043712 
LOK |0 008 231018||||||||||||||||ger||||||| 
LOK |0 035   |a (DE-2619)CORE19097065 
LOK |0 040   |a DE-2619  |c DE-627  |d DE-2619 
LOK |0 092   |o n 
LOK |0 852   |a DE-2619 
LOK |0 852 1  |9 00 
LOK |0 935   |a core 
OAS |a 1 
ORI |a SA-MARC-krimdoka001.raw