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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1111/cobi.14150
|2 doi
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|a pubmed24n1414.xml
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|a (DE-627)NLM359624294
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|a (NLM)37461881
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Sharma, Roshan
|e verfasserin
|4 aut
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|a Evaluating the impact of private land conservation with synthetic control design
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|c 2023
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 11.12.2023
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|a Date Revised 20.05.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.
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|a Programs to protect biodiversity on private land are increasingly being used worldwide. To understand the efficacy of such programs, it is important to determine their impact: the difference between the program's outcome and what would have happened without the program. Typically, these programs are evaluated by estimating the average program-level impact, which readily allows comparisons between programs or regions, but masks important heterogeneity in impact across the individual conservation interventions. We used synthetic control design, statistical matching, and time-series data to estimate the impact of individual protected areas over time and combined individual-level impacts to estimate program-level impact with a meta-analytic approach. We applied the method to private protected areas governed by conservation covenants (legally binding on-title agreements to protect biodiversity) in the Goldfields region of Victoria, Australia using woody vegetation cover as our outcome variable. We compared our results with traditional approaches to estimating program-level impact based on a subset of covenants that were the same age. Our results showed an overall program-level impact of a 0.3-0.8% increase in woody vegetation cover per year. However, there was significant heterogeneity in the temporal pattern of impact for individual covenants, ranging from -4 to +7% change in woody vegetation cover per year. Results of our approach were consistent with results based on traditional approaches to estimating program-level impact. Our study provides a transparent and robust workflow to estimate individual and program-level impacts of private protected areas
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Bayesian structural time series
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|a acuerdos de conservación
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|a causal inference
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|a confounders
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|a conservación de suelo privado
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|a conservation agreements
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|a evaluación de impacto
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|a impact evaluation
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|a inferencia causal
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|a método de control sintético
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|a private land conservation
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|a private protected areas
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|a serie temporal estructural bayesiana
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|a synthetic control method
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|a áreas protegidas privadas
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1 |
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|a Jones, Simon
|e verfasserin
|4 aut
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1 |
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|a Robinson, Doug
|e verfasserin
|4 aut
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700 |
1 |
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|a Gordon, Ascelin
|e verfasserin
|4 aut
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773 |
0 |
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|i Enthalten in
|t Conservation biology : the journal of the Society for Conservation Biology
|d 1999
|g 37(2023), 6 vom: 05. Dez., Seite e14150
|w (DE-627)NLM098176803
|x 1523-1739
|7 nnns
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1 |
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|g volume:37
|g year:2023
|g number:6
|g day:05
|g month:12
|g pages:e14150
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|u http://dx.doi.org/10.1111/cobi.14150
|3 Volltext
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|d 37
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|e 6
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