Herders' aversion to wildlife population increases in grassland ecosystem conservation: Evidence from a choice experiment study

Shi, Yuxing; Li, Chaoqiong; Zhao, Minjuan

doi:10.1016/j.gecco.2021.e01777

Cited by 20 publications

(7 citation statements)

References 64 publications

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“…The contribution of this study is to help policymakers get the social benefits of non-market rubber plantation restoration projects and understand the public preference for ecological restoration policies. The results indicate a positive and significant societal willingness to pay for the ecological restoration of natural rubber plantation in Hainan Province, which is consistent with prior studies that have valued other types of ecosystem restoration activities (Lan et al, 2017;Jin, et al, 2018;Xu, et al, 2020;Shi et al, 2021). In addition, there are several aspects worthy of further discussion for the current work.…”

Section: Discussionsupporting

confidence: 89%

How do You Want to restore?--Assessing the Public Preferences and Social Benefits of Ecological Restoration for Natural Rubber Plantation in China

Qiao

Zhang

et al. 2022

Front. Environ. Sci.

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Revealing the public’s preference for ecological restoration projects will help increase public support and improve social benefits evaluation accuracy, which is a prerequisite for implementing ecological restoration projects. This study aimed to reveal the public’s preference for natural rubber plantation restoration projects and then quantify the social benefits of these projects to provide valuable references for related policy design. Based on choice experiments, we built a hypothetical market of ecological products and conducted a field survey to obtain the public’s preferences and willingness to pay (WTP) for natural rubber plantation restoration projects. Then, a random parameters logit model was applied to obtain public preference information, and then the social benefits brought by different restoration scenarios were calculated and compared. The results showed that: 1) residents of Hainan Province had a positive attitude toward ecological restoration for natural rubber plantations and were willing to bear a personal cost. 2) respondents had significant differences in preference for attributes of restoration projects. 3) a restoration project covering 2.1 million mu of rubber plantations, prioritizing the water source protection area, focusing the implementation on state farms, and developing the under-forest breeding economy would gain more social benefits, precisely, 337.543 million yuan/year. Ecological restoration policies should pay more attention to public needs and incorporate them into future guidelines. Policymakers should focus on restoration quality instead of the restoration area. Priority should be given to rubber plantations close to the water source protection area and small householders, and an appropriate under-forest economy should be considered. This study can provide a valuable reference for policy-making related to rubber plantation restoration.

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Section: Discussionsupporting

confidence: 89%

How do You Want to restore?--Assessing the Public Preferences and Social Benefits of Ecological Restoration for Natural Rubber Plantation in China

Qiao

Zhang

et al. 2022

Front. Environ. Sci.

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“…Frente a las amenazas existentes y considerando la realidad del territorio de la provincia se propone dos estrategias: "Comunicación, educación y participación ambiental (CEPA)", la misma que es ampliamente utilizada a nivel mundial, en procesos de manejo de recursos naturales y se relacionan a estrategias como "Apoyo, educación y participación de la comunidad local" [108], "Educación y compensación ecológica para prevenir la disminución de la vida silvestre" [109] y "gestión comunitaria de los recursos naturales como alternativa de protección suele ser una estrategia eficaz" [110].…”

Section: Discussionunclassified

Conservation Gaps Associated with Threatened Wildlife in Chimborazo Province

Rodríguez¹,

Roca²,

Cantos³

et al. 2022

espoch

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The identification of conservation gaps through a systemic planning process allows for the design and evaluation of initiatives for determining conservation areas at different geographical scales. The purpose of this study was to determine the conservation gaps associated with threatened wildlife in Chimborazo, Ecuador. A documentary research was used including a systematic review of 26 geographic and bibliographic information sources on 10 wildlife variables, a multicriteria analysis in GIS using six criteria, the statistical analysis of independent variables using a Chi-square test, and the development of a correspondence analysis. The results showed that in Chimborazo province, 311 species of wildlife were registered, of which 13% are in a degree of threat. To mitigate the problems associated with the loss of wildlife, two strategies are required, mainly through the leadership and active participation of the 10 public sector actors. In addition, it was identified that the conservation gaps associated with threatened wildlife are mainly found in the “paramo” ecosystem and comprise an area of 143,302 ha, which corresponds to 22% of province’s extension. This information should be used by the institutions related to the management of the natural resources of the province to deepen the studies on the ranges of distribution of species in threat category and promote actions that allow the conservation and sustainable use of the natural heritage from the province. Keywords: Fauna, Threats, Conservation gaps, Multi-criteria analysis. Resumen La identificación de vacíos de conservación a través de un proceso de planificación sistémica permite diseñar y evaluar iniciativas para la implementación de áreas de conservación en diferentes escalas geográficas. El propósito de este estudio fue determinar los vacíos de conservación asociados a la fauna con categoría de amenaza en la provincia de Chimborazo. Los métodos empleados contemplaron una investigación documental, mediante la revisión sistemática de 26 fuentes información geográfica y bibliográfica sobre 10 variables de la fauna, un análisis multicriterio en SIG a través de la aplicación de 6 criterios, y el análisis estadístico, mediante la aplicación de una prueba chi cuadrado de independencia y el desarrollo de un análisis de correspondencia. Los resultados reflejan que en la provincia de Chimborazo se registraron 311 especies de fauna, de las cuales el 13% se encuentran en una categoría de amenaza. Para mitigar la problemática asociada a la perdida de fauna silvestre se requiere la implementación de dos estrategias, a través del liderazgo y la participación de 10 actores del sector público, principalmente. Además, se identificó que los vacíos de conservación asociados a la fauna con categoría de amenaza se encuentran principalmente en el ecosistema páramo y comprende una extensión de 143.302 ha, que corresponde al 22 % de la extensión de la provincia. Esta información debe ser utilizada por las instituciones relacionadas al manejo de los recursos naturales de la provincia, para profundizar los estudios sobre los rangos de distribución de especies en categoría de amenaza, y para impulsar acciones que permitan la conservación y el aprovechamiento sostenible del patrimonio natural de la provincia. Palabras Clave: Fauna, Amenazas, Vacíos de conservación, Análisis multicriterio.

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“…The choice experiment has been widely used in research on public needs and preferences of various natural resources such as cultivated land, wetlands, forests, and organisms to measure the marginal willingness to pay to reflect the ecological value of various attributes of natural resources [35][36][37][38][39][40]. Compared to other methods, the choice experiment provides a feasible way to quantify the non-market value of ecological products and exerts advantages in reducing measurement errors to obtain more concrete individual preferences.…”

Section: Methodsmentioning

confidence: 99%

Household Willingness to Pay for Forest Ecological Restoration in Giant Panda Habitats: A Discrete Choice Experiment

Zhang

Duan

2021

Forests

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Rural households have played an increasingly significant role in the conservation and restoration process of natural habitats. This paper explores rural households’ preference and willingness to pay for ecological restoration attributes in giant panda habitats using the discrete choice experiment (DCE). The DCE survey was conducted in and around giant panda habitats in Sichuan province with a sample size of 474. Using the mixed logit model, the results indicate that rural households have positive attitudes towards the improvement of ecological restoration functions, including forest vegetation restoration, biodiversity conservation, and giant panda corridor construction, but have a negative attitude towards payment, showing that rural households are inclined to pay less to gain better restoration outcomes. Among the ecological restoration attributes, forest vegetation restoration (4.44 RMB) wins the highest payment value, indicating households’ preferences and priorities of ecological restoration. In general, rural households’ willingness to pay could reach 34.28 RMB for the best choice option designed in DCE. This study emphasizes the awareness of payment among rural households to improve ecological restoration functions in giant panda habitats and indicates the importance of household participation in long-term adaptation and implementation of ecological conservation plans.

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Herders' aversion to wildlife population increases in grassland ecosystem conservation: Evidence from a choice experiment study

Cited by 20 publications

References 64 publications

How do You Want to restore?--Assessing the Public Preferences and Social Benefits of Ecological Restoration for Natural Rubber Plantation in China

How do You Want to restore?--Assessing the Public Preferences and Social Benefits of Ecological Restoration for Natural Rubber Plantation in China

Conservation Gaps Associated with Threatened Wildlife in Chimborazo Province

Household Willingness to Pay for Forest Ecological Restoration in Giant Panda Habitats: A Discrete Choice Experiment

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