Patrick Hildebrandt
Biographic Data
| ID | 6546476 |
|---|---|
| NAME | Patrick Hildebrandt |
| GIVEN NAMES | Patrick |
| FAMILY NAME | Hildebrandt |
| SIGNATURE | HILDEBRANDT P |
| AFFILIATIONS | Technical University of Munich |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Confronting sustainable intensification with uncertainty and extreme values on smallholder tropical farms
Sustainable intensification of agricultural lands might reconcile the conservation of tropical forest with food production, but in-depth assessments considering uncertainty and extreme values are missing. Uncertainty prohibits mapping probabilities to potential future states or ranking these states in terms of their likelihood. This in turn hampers the assessment of possible decision outcomes. Here, we use simulations to investigate how uncertain…
Assessing the importance of topographic variables for the spatial distribution of tree species in a tropical mountain forest
© 2016, Erdkunde. All rights reserved. Availability and improved access to high-resolution digital terrain models (DTM) enables new approaches for the analysis of spatially explicit biological data. In this study, the spatial distribution of 16 tree species in a tropical mountain rain forest in South Ecuador and its relationship with topographic variables was evaluated at a fine-scale ecological level using two presence-only species distribution …
Optimizing agricultural land-use portfolios with scarce data—A non-stochastic model
The theory of portfolio selection has often been applied to help improve economic decisions about the environment. Applying this theory requires information on the covariance of uncertain returns between all combinations of the economic options and also assumes that returns are normally distributed. As it is usually difficult to fulfill all data requirements and assumptions, this paper proposes a variant of robust portfolio optimization as an alt…
Investment decisions under uncertainty—A methodological review on forest science studies
Optimizing the shares of native tree species in forest plantations with biased financial parameters
Investment decisions under uncertainty—A methodological review on forest science studies
Optimizing agricultural land-use portfolios with scarce data—A non-stochastic model
The theory of portfolio selection has often been applied to help improve economic decisions about the environment. Applying this theory requires information on the covariance of uncertain returns between all combinations of the economic options and also assumes that returns are normally distributed. As it is usually difficult to fulfill all data requirements and assumptions, this paper proposes a variant of robust portfolio optimization as an alt…
Confronting sustainable intensification with uncertainty and extreme values on smallholder tropical farms
Sustainable intensification of agricultural lands might reconcile the conservation of tropical forest with food production, but in-depth assessments considering uncertainty and extreme values are missing. Uncertainty prohibits mapping probabilities to potential future states or ranking these states in terms of their likelihood. This in turn hampers the assessment of possible decision outcomes. Here, we use simulations to investigate how uncertain…
Optimizing the shares of native tree species in forest plantations with biased financial parameters
Investment decisions under uncertainty—A methodological review on forest science studies
Assessing the importance of topographic variables for the spatial distribution of tree species in a tropical mountain forest
© 2016, Erdkunde. All rights reserved. Availability and improved access to high-resolution digital terrain models (DTM) enables new approaches for the analysis of spatially explicit biological data. In this study, the spatial distribution of 16 tree species in a tropical mountain rain forest in South Ecuador and its relationship with topographic variables was evaluated at a fine-scale ecological level using two presence-only species distribution …
Optimizing agricultural land-use portfolios with scarce data—A non-stochastic model
The theory of portfolio selection has often been applied to help improve economic decisions about the environment. Applying this theory requires information on the covariance of uncertain returns between all combinations of the economic options and also assumes that returns are normally distributed. As it is usually difficult to fulfill all data requirements and assumptions, this paper proposes a variant of robust portfolio optimization as an alt…
Confronting sustainable intensification with uncertainty and extreme values on smallholder tropical farms
Sustainable intensification of agricultural lands might reconcile the conservation of tropical forest with food production, but in-depth assessments considering uncertainty and extreme values are missing. Uncertainty prohibits mapping probabilities to potential future states or ranking these states in terms of their likelihood. This in turn hampers the assessment of possible decision outcomes. Here, we use simulations to investigate how uncertain…
Economics (4 works) · Geography (4 works) · Computer Science (3 works) · Economic and Environmental Valuation (3 works) · Forestry (3 works) · Mathematics (3 works) · Business (2 works) · Ecology (2 works) · Econometrics (2 works) · Finance (2 works)