Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation

Ecosystem services and economic returns from semi‐arid rangelands are threatened by land degradation. Policies to improve ecosystem service delivery often fail to consider uncertainty in economic returns gained through different land uses and management practices. We apply an analytical framework using stochastic simulation to estimate the range of potential monetary outcomes of rangeland ecosystem services under different land uses, including consideration of the uncertainty and variability of model parameters. We assess monetary and non‐monetary dimensions, including those ecosystem services with uncertain and missing information, for communal rangelands, commercial ranches, game farms and Wildlife Management Areas in southern Kgalagadi District, Botswana. Public land uses (communal grazing areas and protected conservation land in Wildlife Management Areas) provide higher economic value than private land uses (commercial ranches and game farms), despite private land uses being more profitable in their returns from meat production. Communal rangelands and protected areas are important for a broader range of ecosystem services (cultural/spiritual services, recreation, firewood, construction material and wild food), which play a key role in sustaining the livelihoods of the largest share of society. The full range of ecosystem services should therefore be considered in economic assessments, while policies targeting sustainable land management should value and support their provision and utilisation. By forecasting the range of plausible ecosystem values of different rangeland land uses in monetary terms, our analysis provides policymakers with a tool to assess outcomes of land use and management decisions and policies. Copyright © 2016 John Wiley & Sons, Ltd.

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Main Authors: Nicola, N., Luedeling, Eike, Stringer, L. C., Dougill, Andrew J.
Format: Journal Article biblioteca
Language:English
Published: Wiley 2017-01
Online Access:https://hdl.handle.net/10568/95862
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.2590
https://doi.org/10.1002/ldr.2590
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spelling dig-cgspace-10568-958622023-06-12T08:52:54Z Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation Nicola, N. Luedeling, Eike Stringer, L. C. Dougill, Andrew J. Ecosystem services and economic returns from semi‐arid rangelands are threatened by land degradation. Policies to improve ecosystem service delivery often fail to consider uncertainty in economic returns gained through different land uses and management practices. We apply an analytical framework using stochastic simulation to estimate the range of potential monetary outcomes of rangeland ecosystem services under different land uses, including consideration of the uncertainty and variability of model parameters. We assess monetary and non‐monetary dimensions, including those ecosystem services with uncertain and missing information, for communal rangelands, commercial ranches, game farms and Wildlife Management Areas in southern Kgalagadi District, Botswana. Public land uses (communal grazing areas and protected conservation land in Wildlife Management Areas) provide higher economic value than private land uses (commercial ranches and game farms), despite private land uses being more profitable in their returns from meat production. Communal rangelands and protected areas are important for a broader range of ecosystem services (cultural/spiritual services, recreation, firewood, construction material and wild food), which play a key role in sustaining the livelihoods of the largest share of society. The full range of ecosystem services should therefore be considered in economic assessments, while policies targeting sustainable land management should value and support their provision and utilisation. By forecasting the range of plausible ecosystem values of different rangeland land uses in monetary terms, our analysis provides policymakers with a tool to assess outcomes of land use and management decisions and policies. Copyright © 2016 John Wiley & Sons, Ltd. 2017-01 2018-07-04T08:22:34Z 2018-07-04T08:22:34Z Journal Article Nicola, N.; Luedeling, E.; Stringer, L. C.; Dougill, A. J. 2017. Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation. 28(1):65-73.Wiley online library. https://doi.org/10.1002/ldr.2590 https://hdl.handle.net/10568/95862 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.2590 https://doi.org/10.1002/ldr.2590 Restoring Degraded Landscapes en Copyrighted; all rights reserved Limited Access 65-73 Wiley
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language English
description Ecosystem services and economic returns from semi‐arid rangelands are threatened by land degradation. Policies to improve ecosystem service delivery often fail to consider uncertainty in economic returns gained through different land uses and management practices. We apply an analytical framework using stochastic simulation to estimate the range of potential monetary outcomes of rangeland ecosystem services under different land uses, including consideration of the uncertainty and variability of model parameters. We assess monetary and non‐monetary dimensions, including those ecosystem services with uncertain and missing information, for communal rangelands, commercial ranches, game farms and Wildlife Management Areas in southern Kgalagadi District, Botswana. Public land uses (communal grazing areas and protected conservation land in Wildlife Management Areas) provide higher economic value than private land uses (commercial ranches and game farms), despite private land uses being more profitable in their returns from meat production. Communal rangelands and protected areas are important for a broader range of ecosystem services (cultural/spiritual services, recreation, firewood, construction material and wild food), which play a key role in sustaining the livelihoods of the largest share of society. The full range of ecosystem services should therefore be considered in economic assessments, while policies targeting sustainable land management should value and support their provision and utilisation. By forecasting the range of plausible ecosystem values of different rangeland land uses in monetary terms, our analysis provides policymakers with a tool to assess outcomes of land use and management decisions and policies. Copyright © 2016 John Wiley & Sons, Ltd.
format Journal Article
author Nicola, N.
Luedeling, Eike
Stringer, L. C.
Dougill, Andrew J.
spellingShingle Nicola, N.
Luedeling, Eike
Stringer, L. C.
Dougill, Andrew J.
Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
author_facet Nicola, N.
Luedeling, Eike
Stringer, L. C.
Dougill, Andrew J.
author_sort Nicola, N.
title Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
title_short Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
title_full Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
title_fullStr Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
title_full_unstemmed Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
title_sort valuing ecosystem services in semi-arid rangelands through stochastic simulation
publisher Wiley
publishDate 2017-01
url https://hdl.handle.net/10568/95862
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.2590
https://doi.org/10.1002/ldr.2590
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AT luedelingeike valuingecosystemservicesinsemiaridrangelandsthroughstochasticsimulation
AT stringerlc valuingecosystemservicesinsemiaridrangelandsthroughstochasticsimulation
AT dougillandrewj valuingecosystemservicesinsemiaridrangelandsthroughstochasticsimulation
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