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Liu Q, Sun X, Huang Q, Qiao J, Fang G, Ren Y, Wang C, Sun J, Yang P. Optimizing the landscape in grain production and identifying trade-offs between ecological benefits based on production possibility frontiers: A case study of Beijing-Tianjin-Hebei region. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2025; 377:124583. [PMID: 39983571 DOI: 10.1016/j.jenvman.2025.124583] [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: 05/04/2024] [Revised: 01/22/2025] [Accepted: 02/14/2025] [Indexed: 02/23/2025]
Abstract
There are severe conflicts between grain production and ecological benefits, and how to explore the critical configurations of agricultural landscapes and natural habitats to clarify sustainable scenarios remains unclear. Thus, this study explored a transferable approach to generating the production possibility frontiers of trade-offs between grain production and ecological benefits (biodiversity, carbon sink, and water consumption) under unconstrained, ecological constraint, and agricultural and ecological constraint scenarios, and identified the threshold and safety area for landscape optimization in the Beijing-Tianjin-Hebei (BTH) region of China. When reaching the Pareto optimality of trade-off frontiers, the grain yield and biodiversity increased by 10%-17%, the grain yield and carbon sink increased by 15%-48%, and the grain yield and water consumption improved by 4%-25%. The grain production and ecological benefits were outside the safety area in the BTH region, and the landscape optimization strategy was different for each trade-off. Both the food and biodiversity security can be further improved through increasing by 2.7% of cropland in the BTH region. The land use strategy of converting 6.8% of the cropland of the BTH region into forest land can promote carbon sink security. Although the land use strategy of converting 2.3% of the cropland of the BTH region into grassland can promote water security, more effort should be focused on technological innovation. This study highlights that landscape optimization will promote landscape multifunctionality and provides quantitative landscape optimization thresholds and safety boundaries for improving grain production and ecological benefits.
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Affiliation(s)
- Qinghua Liu
- Administration and Management Institute, Ministry of Agriculture and Rural Affairs, Beijing, 102208, China.
| | - Xiao Sun
- School of Ecology and Environment, Renmin University of China, Beijing, 100872, China.
| | - Qingxu Huang
- State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing, 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
| | - Jianmin Qiao
- College of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
| | - Guangji Fang
- State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Yuhan Ren
- School of Land Science and Technology, China University of Geosciences, Beijing, 100083, China.
| | - Chenrui Wang
- State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Jing Sun
- State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Peng Yang
- State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Stouffer DB. A critical examination of models of annual‐plant population dynamics and density‐dependent fecundity. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Daniel B. Stouffer
- Centre for Integrative Ecology School of Biological Sciences University of Canterbury Christchurch New Zealand
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Wojcik LA, Ceulemans R, Gaedke U. Functional diversity buffers the effects of a pulse perturbation on the dynamics of tritrophic food webs. Ecol Evol 2021; 11:15639-15663. [PMID: 34824780 PMCID: PMC8601937 DOI: 10.1002/ece3.8214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/08/2021] [Accepted: 09/21/2021] [Indexed: 11/28/2022] Open
Abstract
Biodiversity decline causes a loss of functional diversity, which threatens ecosystems through a dangerous feedback loop: This loss may hamper ecosystems' ability to buffer environmental changes, leading to further biodiversity losses. In this context, the increasing frequency of human-induced excessive loading of nutrients causes major problems in aquatic systems. Previous studies investigating how functional diversity influences the response of food webs to disturbances have mainly considered systems with at most two functionally diverse trophic levels. We investigated the effects of functional diversity on the robustness, that is, resistance, resilience, and elasticity, using a tritrophic-and thus more realistic-plankton food web model. We compared a non-adaptive food chain with no diversity within the individual trophic levels to a more diverse food web with three adaptive trophic levels. The species fitness differences were balanced through trade-offs between defense/growth rate for prey and selectivity/half-saturation constant for predators. We showed that the resistance, resilience, and elasticity of tritrophic food webs decreased with larger perturbation sizes and depended on the state of the system when the perturbation occurred. Importantly, we found that a more diverse food web was generally more resistant and resilient but its elasticity was context-dependent. Particularly, functional diversity reduced the probability of a regime shift toward a non-desirable alternative state. The basal-intermediate interaction consistently determined the robustness against a nutrient pulse despite the complex influence of the shape and type of the dynamical attractors. This relationship was strongly influenced by the diversity present and the third trophic level. Overall, using a food web model of realistic complexity, this study confirms the destructive potential of the positive feedback loop between biodiversity loss and robustness, by uncovering mechanisms leading to a decrease in resistance, resilience, and potentially elasticity as functional diversity declines.
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Affiliation(s)
- Laurie Anne Wojcik
- Ecology and Ecosystem Modelling GroupUniversity of PotsdamPotsdamGermany
| | - Ruben Ceulemans
- Ecology and Ecosystem Modelling GroupUniversity of PotsdamPotsdamGermany
| | - Ursula Gaedke
- Ecology and Ecosystem Modelling GroupUniversity of PotsdamPotsdamGermany
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