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Zhang E, Wang G, Su Y, Chen G. A study on the influencing factors of rural land transfer willingness in different terrain areas--Based on the questionnaire survey data of Anhui Province and Qinghai Province, China. PLoS One 2024; 19:e0303078. [PMID: 38848438 PMCID: PMC11161119 DOI: 10.1371/journal.pone.0303078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 04/13/2024] [Indexed: 06/09/2024] Open
Abstract
This study delves into the factors influencing the willingness of rural land transfers in different terrain areas, aiming to promote the improvement of land transfer institutions and accelerate the process of scale farming. Based on rural survey data from Anhui and Qinghai provinces in China, this research uses geographical detector and Binary Logistic Model to explore the differential factors affecting the willingness of farmers to participate in land contract transfer in the first and third terrain areas of China. The study examines four dimensions, including individual characteristics, family endowments, social support strategies, and geographical environment. The findings reveal the following: (1) By comparing the mean values, standard deviations, and coefficients of variation of the data from both provinces, it is evident that the indicators of individual characteristics, family endowments, social support strategies, and geographical environment differ significantly between the two provinces. This indicates substantial disparities in the basic attributes of farmers and their living environments. (2) The single-factor explanatory power significantly influencing farmers' willingness to engage in land transfer varies considerably and is statistically significant at the 1% level. The types of interaction between two factors mainly include dual-factor enhancement, nonlinear enhancement, single-factor nonlinear attenuation, and nonlinear attenuation. (3) There are commonalities and differences in the factors that significantly influence farmers' willingness to participate in land transfer in the two provinces. Common factors influencing farmers' land transfer willingness in both provinces include: the educational level of household heads, the health status of household heads, the number of family laborers, the arable land area, the differentiation of agricultural management objectives, the proportion of agricultural operating income, labor service economy, and relocation policies. Factors showing different influences include: the age of household heads, school-age children, the number of family members engaged in different occupations, the proportion of income from off-farm employment, minimum guarantee policies credit support, location distance, and terrain undulation. Therefore, in formulating land transfer policies, the government should prioritize significant driving factors influencing farmers' decision-making behavior in different regions. It is essential to develop and implement land transfer policies tailored to local conditions with the primary goal of safeguarding the rights and interests of the principal stakeholders, thus achieving sustainable land utilization.
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Affiliation(s)
- Ershen Zhang
- School of Urban Design, Wuhan University, Wuhan, Hubei Province, China
| | - Guoen Wang
- School of Urban Design, Wuhan University, Wuhan, Hubei Province, China
| | - Yuwei Su
- School of Urban Design, Wuhan University, Wuhan, Hubei Province, China
| | - Guojun Chen
- School of Urban Design, Wuhan University, Wuhan, Hubei Province, China
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Zhan Q, de Senerpont Domis LN, Lürling M, Marcé R, Heuts TS, Teurlincx S. Process-based modeling for ecosystem service provisioning: Non-linear responses to restoration efforts in a quarry lake under climate change. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119163. [PMID: 37827081 DOI: 10.1016/j.jenvman.2023.119163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 09/14/2023] [Accepted: 09/27/2023] [Indexed: 10/14/2023]
Abstract
Healthy freshwater ecosystems can provide vital ecosystem services (ESs), and this capacity may be hampered due to water quality deterioration and climate change. In the currently available ES modeling tools, ecosystem processes are either absent or oversimplified, hindering the evaluation of impacts of restoration measures on ES provisioning. In this study, we propose an ES modeling tool that integrates lake physics, ecology and service provisioning into a holistic modeling framework. We applied this model to a Dutch quarry lake, to evaluate how nine ESs respond to technological-based (phosphorus (P) reduction) and nature-based measures (wetland restoration). As climate change might be affecting the future effectiveness of restoration efforts, we also studied the climate change impacts on the outcome of restoration measures and provisioning of ESs, using climate scenarios for the Netherlands in 2050. Our results indicate that both phosphorus reduction and wetland restoration mitigated eutrophication symptoms, resulting in increased oxygen concentrations and water transparency, and decreased phytoplankton biomass. Delivery of most ESs was improved, including swimming, P retention, and macrophyte habitat, whereas the ES provisioning that required a more productive system was impaired (sport fishing and bird watching). However, our modeling results suggested hampered effectiveness of restoration measures upon exposure to future climate conditions, which may require intensification of restoration efforts in the future to meet restoration targets. Importantly, ESs provisioning showed non-linear responses to increasing intensity of restoration measures, indicating that effectiveness of restoration measures does not necessarily increase proportionally. In conclusion, the ecosystem service modeling framework proposed in this study, provides a holistic evaluation of lake restoration measures on ecosystem services provisioning, and can contribute to development of climate-robust management strategies.
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Affiliation(s)
- Qing Zhan
- Aquatic Knowledge Centre Wageningen (AKWA), Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), PO-Box 50, 6700AB, Wageningen, the Netherlands; Aquatic Ecology and Water Quality Management Group, Wageningen University & Research, PO-Box 47, 6700 AA, Wageningen, the Netherlands.
| | - Lisette N de Senerpont Domis
- Aquatic Knowledge Centre Wageningen (AKWA), Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), PO-Box 50, 6700AB, Wageningen, the Netherlands; Aquatic Ecology and Water Quality Management Group, Wageningen University & Research, PO-Box 47, 6700 AA, Wageningen, the Netherlands; Department of Pervasive Systems, Faculty of EEMCS, University of Twente, PO-Box 217, 7500 AE, Enschede, the Netherlands; Department of Water Resources, Faculty of Geo-Information Science and Earth Observation, University of Twente, PO-Box 217, 7500 AE, Enschede, the Netherlands
| | - Miquel Lürling
- Aquatic Knowledge Centre Wageningen (AKWA), Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), PO-Box 50, 6700AB, Wageningen, the Netherlands; Aquatic Ecology and Water Quality Management Group, Wageningen University & Research, PO-Box 47, 6700 AA, Wageningen, the Netherlands
| | - Rafael Marcé
- Integrative Freshwater Ecology Group, Centre d'Estudis Avançats de Blanes (CEAB-CSIC), Cala St. Francesc 14, 17300 Blanes, Spain
| | - Tom S Heuts
- Department of Aquatic Ecology and Environmental Biology, Radboud Institute for Biological and Environmental Sciences, Radboud University, PO-Box 9010, 6500 GL, Nijmegen, the Netherlands
| | - Sven Teurlincx
- Aquatic Knowledge Centre Wageningen (AKWA), Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), PO-Box 50, 6700AB, Wageningen, the Netherlands
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Editorial for Special Issue: “New Insights into Ecosystem Monitoring Using Geospatial Techniques”. REMOTE SENSING 2022. [DOI: 10.3390/rs14102346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Recent global-scale environmental issues from climate change to biodiversity loss are generating an intense social pressure on the scientific community [...]
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