Strategic conservation management for gopher frogs at site-specific to range-wide scales. Crawford, B. A. & Maerz, J. C. Technical Report University of Georgia, Athens, Georgia, USA, April, 2021. ![Strategic conservation management for gopher frogs at site-specific to range-wide scales [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex We co-developed a gopher frog conservation planning framework with State and federal partners to identify optimal management strategies (combinations of upland and wetland management and headstarting) across 183 focal sites (Fig 1) expected to maximize the number and distribution of breeding populations in 2050 while minimizing cost under different objective tradeoffs (see Table 1). • We combined species data and expert judgment to model links between habitat suitability, breeding frequency, and population persistence (Fig 2) under current conditions and site-specific management options (Table 2) that could be implemented over the next 30 years. • We compared the number of predicted persisting gopher frog populations in 2050 and total costs over the 30-year period across three management scenarios: 1) “Status quo mgmt” where current habitat management continues with no head-starting, 2) “Cost-effective mgmt” where optimal strategies were identified that maximize persistence while minimizing cost, and 3) “Do-all-we-can mgmt” where optimal strategies were identified that maximize persistence regardless of cost. • Results are presented in Table 3 and Fig 4, with an example of site-specific predictions for AL in Fig 3. ◦ Status quo mgmt resulted in 51 predicted persisting populations, on average, and a $294M base cost. ◦ Cost-effective mgmt resulted in 107 predicted persisting populations and cost $422M (+ base costs). ◦ Do-all-we-can mgmt resulted in 115 predicted persisting populations and cost $1,409M (+ base costs). • Under Status quo, Cost-effective, and Do-all-we-can mgmt, the probability of all populations becoming extirpated in at least one conservation unit was {\textgreater}99, 53, and 32%, respectively (Fig 5). • Partners may use results to evaluate tradeoffs between predicted persistence and cost when selecting management strategies for specific sites and allocating scarce resources across sites to maximize gopher frog outcomes at conservation unit, state-wide, and range-wide scales. • Additional summary tables and figures showing optimal actions and predicted population persistence for each site are available in the project’s Google Drive folder.
@techreport{crawford_strategic_2021,
address = {Athens, Georgia, USA},
type = {Technical {Report}},
title = {Strategic conservation management for gopher frogs at site-specific to range-wide scales},
url = {https://github.com/Maerz-Lab/Integrated-Strategic-Management-for-Gopher-frogs/tree/main/Reports%20and%20Outputs},
abstract = {We co-developed a gopher frog conservation planning framework with State and federal partners to identify optimal management strategies (combinations of upland and wetland management and headstarting) across 183 focal sites (Fig 1) expected to maximize the number and distribution of breeding populations in 2050 while minimizing cost under different objective tradeoffs (see Table 1). • We combined species data and expert judgment to model links between habitat suitability, breeding frequency, and population persistence (Fig 2) under current conditions and site-specific management options (Table 2) that could be implemented over the next 30 years. • We compared the number of predicted persisting gopher frog populations in 2050 and total costs over the 30-year period across three management scenarios: 1) “Status quo mgmt” where current habitat management continues with no head-starting, 2) “Cost-effective mgmt” where optimal strategies were identified that maximize persistence while minimizing cost, and 3) “Do-all-we-can mgmt” where optimal strategies were identified that maximize persistence regardless of cost. • Results are presented in Table 3 and Fig 4, with an example of site-specific predictions for AL in Fig 3. ◦ Status quo mgmt resulted in 51 predicted persisting populations, on average, and a \$294M base cost. ◦ Cost-effective mgmt resulted in 107 predicted persisting populations and cost \$422M (+ base costs). ◦ Do-all-we-can mgmt resulted in 115 predicted persisting populations and cost \$1,409M (+ base costs). • Under Status quo, Cost-effective, and Do-all-we-can mgmt, the probability of all populations becoming extirpated in at least one conservation unit was {\textgreater}99, 53, and 32\%, respectively (Fig 5). • Partners may use results to evaluate tradeoffs between predicted persistence and cost when selecting management strategies for specific sites and allocating scarce resources across sites to maximize gopher frog outcomes at conservation unit, state-wide, and range-wide scales. • Additional summary tables and figures showing optimal actions and predicted population persistence for each site are available in the project’s Google Drive folder.},
institution = {University of Georgia},
author = {Crawford, Brian A. and Maerz, John C.},
month = apr,
year = {2021},
}
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number of predicted persisting gopher frog populations in 2050 and total costs over the 30-year period across three management scenarios: 1) “Status quo mgmt” where current habitat management continues with no head-starting, 2) “Cost-effective mgmt” where optimal strategies were identified that maximize persistence while minimizing cost, and 3) “Do-all-we-can mgmt” where optimal strategies were identified that maximize persistence regardless of cost. • Results are presented in Table 3 and Fig 4, with an example of site-specific predictions for AL in Fig 3. ◦ Status quo mgmt resulted in 51 predicted persisting populations, on average, and a $294M base cost. ◦ Cost-effective mgmt resulted in 107 predicted persisting populations and cost $422M (+ base costs). ◦ Do-all-we-can mgmt resulted in 115 predicted persisting populations and cost $1,409M (+ base costs). • Under Status quo, Cost-effective, and Do-all-we-can mgmt, the probability of all populations becoming extirpated in at least one 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