Brenda Rashleigh
Biographic Data
| ID | 6547582 |
|---|---|
| NAME | Brenda Rashleigh |
| GIVEN NAMES | Brenda |
| FAMILY NAME | Rashleigh |
| SIGNATURE | RASHLEIGH B |
| AFFILIATIONS | Environmental Protection Agency |
| ORCID | 0000-0002-0806-686X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
New paths for modelling freshwater nature futures
Freshwater ecosystems are exceptionally rich in biodiversity and provide essential benefits to people. Yet they are disproportionately threatened compared to terrestrial and marine systems and remain underrepresented in the scenarios and models used for global environmental assessments. The Nature Futures Framework (NFF) has recently been proposed to advance the contribution of scenarios and models for environmental assessments. This framework pl…
Benefit transfer with limited data
The challenges of applying benefit transfer models to policy sites are often underestimated. Analysts commonly need to estimate site-specific effects for areas that lack data on the number of people who use the resource, intensity of use, and other relevant variables. Here, we address issues of applying transfer functions to sites that have sparse or missing data. We present options for estimating data to apply meta-regression models (MRMs) in wa…
New paths for modelling freshwater nature futures
Freshwater ecosystems are exceptionally rich in biodiversity and provide essential benefits to people. Yet they are disproportionately threatened compared to terrestrial and marine systems and remain underrepresented in the scenarios and models used for global environmental assessments. The Nature Futures Framework (NFF) has recently been proposed to advance the contribution of scenarios and models for environmental assessments. This framework pl…
Benefit transfer with limited data
The challenges of applying benefit transfer models to policy sites are often underestimated. Analysts commonly need to estimate site-specific effects for areas that lack data on the number of people who use the resource, intensity of use, and other relevant variables. Here, we address issues of applying transfer functions to sites that have sparse or missing data. We present options for estimating data to apply meta-regression models (MRMs) in wa…
New paths for modelling freshwater nature futures
Freshwater ecosystems are exceptionally rich in biodiversity and provide essential benefits to people. Yet they are disproportionately threatened compared to terrestrial and marine systems and remain underrepresented in the scenarios and models used for global environmental assessments. The Nature Futures Framework (NFF) has recently been proposed to advance the contribution of scenarios and models for environmental assessments. This framework pl…
Computer Science (2 works) · Ecology (2 works) · Environmental resource management (2 works) · Environmental Science (2 works) · Fish Ecology and Management Studies (2 works) · Biodiversity (1 work) · Biology (1 work) · Business (1 work) · Cartography (1 work) · Econometrics (1 work)