Patterns of ecosystem services supply across farm properties: Implications for ecosystem services-based policy incentives

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Patterns of ecosystem services supply across farm properties: Implications for ecosystem services-based policy incentives. / Nahuelhual, Laura ; Benra, Felipe; Laterra, Pedro et al.
in: Science of the Total Environment, Jahrgang 634, 01.09.2018, S. 941-950.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Nahuelhual L, Benra F, Laterra P, Marin S, Arriagada R, Jullian C. Patterns of ecosystem services supply across farm properties: Implications for ecosystem services-based policy incentives. Science of the Total Environment. 2018 Sep 1;634:941-950. doi: 10.1016/j.scitotenv.2018.04.042

Bibtex

@article{254cbc13b6a94a089ee00033fe57c080,
title = "Patterns of ecosystem services supply across farm properties: Implications for ecosystem services-based policy incentives",
abstract = "In developing countries, the protection of biodiversity and ecosystemservices (ES) rests on the hands of millions ofsmall landowners that coexistwith large properties, in a reality of highly unequal land distribution. Guiding the effective allocation of ES-based incentives in such contexts requires researchers and practitioners to tackle a largely overlooked question: for a given targeted area, will single large farms or several small ones provide the most ES supply? The answer to this question has important implications for conservation planning and rural development alike,which transcend efficiency to involve equity issues. We address this question by proposing and testing ES supply-area relations (ESSARs) around three basic hypothesized models, characterized by constant (model 1), increasing (model 2), and decreasing increments (model 3) of ES supply per unit of area or ES “productivity”. Data to explore ESSARs came from 3384 private landholdings located in southern Chile ranging from 0.5 ha to over 30,000 ha and indicators of four ES (forage, timber, recreation opportunities, and water supply). Forage provision best fit model 3, which suggests that targeting several small farms to provide this ES should be a preferred choice, as compared to a single large farm. Timber provision best fit model 2, suggesting that in this case targeting a single large farm would be a more effective choice. Recreation opportunities best fit model 1,which indicates that several small or a single large farmof a comparable size would be equally effective in delivering this ES.Water provision fitmodel 1 ormodel 2 depending on the study site. The results corroborate that ES provision is not independent fromproperty area and therefore understanding ESSARs is a necessary condition for setting conservation incentives that are both efficient (deliver the highest conservation outcome at the least cost) and fair for landowners.",
keywords = "Ecosystems Research, Equity, Market incentives, Agri-environmental schemes, Farm productivity, Conservation policy",
author = "Laura Nahuelhual and Felipe Benra and Pedro Laterra and Sandra Marin and Rodrigo Arriagada and Cristobal Jullian",
note = "Publisher Copyright: {\textcopyright} 2018",
year = "2018",
month = sep,
day = "1",
doi = "10.1016/j.scitotenv.2018.04.042",
language = "English",
volume = "634",
pages = "941--950",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier B.V.",

}

RIS

TY - JOUR

T1 - Patterns of ecosystem services supply across farm properties: Implications for ecosystem services-based policy incentives

AU - Nahuelhual, Laura

AU - Benra, Felipe

AU - Laterra, Pedro

AU - Marin, Sandra

AU - Arriagada, Rodrigo

AU - Jullian, Cristobal

N1 - Publisher Copyright: © 2018

PY - 2018/9/1

Y1 - 2018/9/1

N2 - In developing countries, the protection of biodiversity and ecosystemservices (ES) rests on the hands of millions ofsmall landowners that coexistwith large properties, in a reality of highly unequal land distribution. Guiding the effective allocation of ES-based incentives in such contexts requires researchers and practitioners to tackle a largely overlooked question: for a given targeted area, will single large farms or several small ones provide the most ES supply? The answer to this question has important implications for conservation planning and rural development alike,which transcend efficiency to involve equity issues. We address this question by proposing and testing ES supply-area relations (ESSARs) around three basic hypothesized models, characterized by constant (model 1), increasing (model 2), and decreasing increments (model 3) of ES supply per unit of area or ES “productivity”. Data to explore ESSARs came from 3384 private landholdings located in southern Chile ranging from 0.5 ha to over 30,000 ha and indicators of four ES (forage, timber, recreation opportunities, and water supply). Forage provision best fit model 3, which suggests that targeting several small farms to provide this ES should be a preferred choice, as compared to a single large farm. Timber provision best fit model 2, suggesting that in this case targeting a single large farm would be a more effective choice. Recreation opportunities best fit model 1,which indicates that several small or a single large farmof a comparable size would be equally effective in delivering this ES.Water provision fitmodel 1 ormodel 2 depending on the study site. The results corroborate that ES provision is not independent fromproperty area and therefore understanding ESSARs is a necessary condition for setting conservation incentives that are both efficient (deliver the highest conservation outcome at the least cost) and fair for landowners.

AB - In developing countries, the protection of biodiversity and ecosystemservices (ES) rests on the hands of millions ofsmall landowners that coexistwith large properties, in a reality of highly unequal land distribution. Guiding the effective allocation of ES-based incentives in such contexts requires researchers and practitioners to tackle a largely overlooked question: for a given targeted area, will single large farms or several small ones provide the most ES supply? The answer to this question has important implications for conservation planning and rural development alike,which transcend efficiency to involve equity issues. We address this question by proposing and testing ES supply-area relations (ESSARs) around three basic hypothesized models, characterized by constant (model 1), increasing (model 2), and decreasing increments (model 3) of ES supply per unit of area or ES “productivity”. Data to explore ESSARs came from 3384 private landholdings located in southern Chile ranging from 0.5 ha to over 30,000 ha and indicators of four ES (forage, timber, recreation opportunities, and water supply). Forage provision best fit model 3, which suggests that targeting several small farms to provide this ES should be a preferred choice, as compared to a single large farm. Timber provision best fit model 2, suggesting that in this case targeting a single large farm would be a more effective choice. Recreation opportunities best fit model 1,which indicates that several small or a single large farmof a comparable size would be equally effective in delivering this ES.Water provision fitmodel 1 ormodel 2 depending on the study site. The results corroborate that ES provision is not independent fromproperty area and therefore understanding ESSARs is a necessary condition for setting conservation incentives that are both efficient (deliver the highest conservation outcome at the least cost) and fair for landowners.

KW - Ecosystems Research

KW - Equity

KW - Market incentives

KW - Agri-environmental schemes

KW - Farm productivity

KW - Conservation policy

UR - http://www.scopus.com/inward/record.url?scp=85045207429&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/898f48d2-26ed-3c37-ae64-14b6eba32eb2/

U2 - 10.1016/j.scitotenv.2018.04.042

DO - 10.1016/j.scitotenv.2018.04.042

M3 - Journal articles

C2 - 29660888

VL - 634

SP - 941

EP - 950

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -

DOI

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