Estimating management costs of protected areas: a novel approach from the Eastern Arc Mountains, Tanzania
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Estimating management costs of protected areas : a novel approach from the Eastern Arc Mountains, Tanzania. / Green, Jonathan M.H.; Burgess, Neil David; Green, Rhys E.; Madoffe, Seif S.; Munishi, Pantaleo K.T.; Nashanda, Evarist; Turner, R. Kerry ; Balmford, Andrew.
In: Biological Conservation, Vol. 150, No. 1, 2012, p. 5-14.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Estimating management costs of protected areas
T2 - a novel approach from the Eastern Arc Mountains, Tanzania
AU - Green, Jonathan M.H.
AU - Burgess, Neil David
AU - Green, Rhys E.
AU - Madoffe, Seif S.
AU - Munishi, Pantaleo K.T.
AU - Nashanda, Evarist
AU - Turner, R. Kerry
AU - Balmford, Andrew
PY - 2012
Y1 - 2012
N2 - Despite chronic underfunding for conservation and the recognition that funds must be invested wisely, few studies have analysed the direct costs of managing protected areas at the spatial scales needed to inform local site management. Using a questionnaire survey we collected data from protected area managers in the Eastern Arc Mountains (EAMs) of Tanzania to establish how much is currently spent on reserve management and how much is required to meet conservation objectives. We use an information theoretic approach to model spatial variation in these costs using a range of plausible, spatially explicit predictor variables, including a novel measure of anthropogenic pressure that measures the human pressure that accrues to any point in the landscape by taking into account all people in the landscape, inversely weighted by their distance to that point.Our models explain over 75% of variation in actual spend and over 40% of variation in necessary spend. Population pressure is a variable that has not been used to model protected area management costs before, yet proved to be considerably better at predicting both actual and necessary spend than other measures of anthropogenic pressure.We use our results to estimate necessary spend at a 9 km2 resolution across the EAM and highlight those areas where the management costs of effective management are predicted to be high. This information can be used by conservation planners in the region and can be estimated for future scenarios of population growth and migration.
AB - Despite chronic underfunding for conservation and the recognition that funds must be invested wisely, few studies have analysed the direct costs of managing protected areas at the spatial scales needed to inform local site management. Using a questionnaire survey we collected data from protected area managers in the Eastern Arc Mountains (EAMs) of Tanzania to establish how much is currently spent on reserve management and how much is required to meet conservation objectives. We use an information theoretic approach to model spatial variation in these costs using a range of plausible, spatially explicit predictor variables, including a novel measure of anthropogenic pressure that measures the human pressure that accrues to any point in the landscape by taking into account all people in the landscape, inversely weighted by their distance to that point.Our models explain over 75% of variation in actual spend and over 40% of variation in necessary spend. Population pressure is a variable that has not been used to model protected area management costs before, yet proved to be considerably better at predicting both actual and necessary spend than other measures of anthropogenic pressure.We use our results to estimate necessary spend at a 9 km2 resolution across the EAM and highlight those areas where the management costs of effective management are predicted to be high. This information can be used by conservation planners in the region and can be estimated for future scenarios of population growth and migration.
U2 - 10.1016/j.biocon.2012.02.023
DO - 10.1016/j.biocon.2012.02.023
M3 - Journal article
VL - 150
SP - 5
EP - 14
JO - Biological Conservation
JF - Biological Conservation
SN - 0006-3207
IS - 1
ER -
ID: 47968725