Mechanism of arable land ecological security impact on arable land quality in different geomorphological areas of Northeast China
Assessing the arable land ecological security ( ALES ) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as...
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| Abstract | Assessing the arable land ecological security (
ALES
) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between
ALES
and arable land quality, and uses spatial regression models to investigate the specific impact of
ALES
on arable land quality. The results show varying degrees of correlation between
ALES
and arable land quality in different geomorphological areas, and arable land quality changes with variations in
ALES
. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m
2
·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development. |
|---|---|
| AbstractList | Assessing the arable land ecological security (
ALES
) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between
ALES
and arable land quality, and uses spatial regression models to investigate the specific impact of
ALES
on arable land quality. The results show varying degrees of correlation between
ALES
and arable land quality in different geomorphological areas, and arable land quality changes with variations in
ALES
. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m
2
·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development. Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between ALES and arable land quality, and uses spatial regression models to investigate the specific impact of ALES on arable land quality. The results show varying degrees of correlation between ALES and arable land quality in different geomorphological areas, and arable land quality changes with variations in ALES. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m2·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development. Abstract Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between ALES and arable land quality, and uses spatial regression models to investigate the specific impact of ALES on arable land quality. The results show varying degrees of correlation between ALES and arable land quality in different geomorphological areas, and arable land quality changes with variations in ALES. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m2·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development. Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between ALES and arable land quality, and uses spatial regression models to investigate the specific impact of ALES on arable land quality. The results show varying degrees of correlation between ALES and arable land quality in different geomorphological areas, and arable land quality changes with variations in ALES. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m ·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development. Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between ALES and arable land quality, and uses spatial regression models to investigate the specific impact of ALES on arable land quality. The results show varying degrees of correlation between ALES and arable land quality in different geomorphological areas, and arable land quality changes with variations in ALES. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m2·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development.Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between ALES and arable land quality, and uses spatial regression models to investigate the specific impact of ALES on arable land quality. The results show varying degrees of correlation between ALES and arable land quality in different geomorphological areas, and arable land quality changes with variations in ALES. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m2·a, arable land quality in the areas increases by 190.41 and 196.68, respectively. This study pioneers a geomorphological heterogeneity perspective to develop targeted arable land protection strategies based on regional resource advantages and key ecological constraints affecting arable land quality improvement. The findings provide a scientific foundation for local governments to formulate food security policies and promote sustainable agricultural development. |
| ArticleNumber | 21730 |
| Author | Qian, Fengkui Pang, Ranran Li, Wenbo |
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| Cites_doi | 10.3389/fenvs.2023.1115058 10.3390/land12081552 10.1016/j.scitotenv.2021.145765 10.1038/nature10452 10.1016/j.landusepol.2024.107316 10.1111/gcbb.12513 10.3390/land12020322 10.1016/j.jclepro.2021.128097 10.1002/ldr.5278 10.3390/su8080821 10.1016/j.ecolind.2023.110647 10.3390/ijerph17041169 10.3390/su14106357 10.1016/j.ecolind.2024.112579 10.1016/j.seps.2024.101970 10.1088/2515-7620/ac9e49 10.1080/089030699263212 10.3390/land12010174 10.1016/j.landusepol.2021.105454 10.1016/j.ecolind.2022.108959 10.1007/s12665-021-09468-y 10.1080/20964129.2020.1800415 10.1002/ece3.70736 10.3390/agronomy13122871 |
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| Keywords | Spatial regression model Impact mechanism Arable land quality Arable land ecological security Different geomorphological areas Spatial analysis Liaoning province |
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| References_xml | – volume: 11 start-page: 1115058 year: 2023 ident: 3447_CR18 publication-title: Front. Environ. Sci. doi: 10.3389/fenvs.2023.1115058 – volume: 12 start-page: 1552 year: 2023 ident: 3447_CR22 publication-title: Land doi: 10.3390/land12081552 – volume: 774 start-page: 145765 year: 2021 ident: 3447_CR21 publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2021.145765 – volume: 478 start-page: 337 year: 2011 ident: 3447_CR2 publication-title: Nature doi: 10.1038/nature10452 – volume: 146 start-page: 107316 year: 2024 ident: 3447_CR7 publication-title: Land. Use Policy doi: 10.1016/j.landusepol.2024.107316 – ident: 3447_CR9 – volume: 34 start-page: 32 year: 2020 ident: 3447_CR3 publication-title: China Land. Sci. – volume: 10 start-page: 444 year: 2018 ident: 3447_CR8 publication-title: Global Change Biology Bioenergy doi: 10.1111/gcbb.12513 – volume: 12 start-page: 322 year: 2023 ident: 3447_CR17 publication-title: Land doi: 10.3390/land12020322 – volume: 314 start-page: 128097 year: 2021 ident: 3447_CR14 publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2021.128097 – volume: 35 start-page: 5065 year: 2024 ident: 3447_CR15 publication-title: Land. Degrad. Dev. doi: 10.1002/ldr.5278 – volume: 8 start-page: 821 year: 2016 ident: 3447_CR6 publication-title: Sustainability doi: 10.3390/su8080821 – volume: 154 start-page: 110647 year: 2023 ident: 3447_CR23 publication-title: Ecol. Ind. doi: 10.1016/j.ecolind.2023.110647 – volume: 17 start-page: 1169 year: 2020 ident: 3447_CR1 publication-title: Int. J. Environ. Res. Public Health doi: 10.3390/ijerph17041169 – volume: 14 start-page: 6357 year: 2022 ident: 3447_CR16 publication-title: Sustainability doi: 10.3390/su14106357 – volume: 166 start-page: 112579 year: 2024 ident: 3447_CR25 publication-title: Ecol. Ind. doi: 10.1016/j.ecolind.2024.112579 – volume: 94 start-page: 101970 year: 2024 ident: 3447_CR19 publication-title: Socio-Economic Plann. Sci. doi: 10.1016/j.seps.2024.101970 – volume: 4 start-page: 112001 year: 2022 ident: 3447_CR20 publication-title: Environ. Res. Commun. doi: 10.1088/2515-7620/ac9e49 – volume: 13 start-page: 319 year: 1999 ident: 3447_CR5 publication-title: Arid Soil Res. Rehabil. doi: 10.1080/089030699263212 – volume: 12 start-page: 174 year: 2023 ident: 3447_CR12 publication-title: Land doi: 10.3390/land12010174 – volume: 106 start-page: 105454 year: 2021 ident: 3447_CR4 publication-title: Land. Use Policy doi: 10.1016/j.landusepol.2021.105454 – ident: 3447_CR11 doi: 10.1016/j.ecolind.2022.108959 – volume: 80 start-page: 1 year: 2021 ident: 3447_CR10 publication-title: Environ. Earth Sci. doi: 10.1007/s12665-021-09468-y – volume: 6 start-page: 1800415 year: 2020 ident: 3447_CR24 publication-title: Ecosyst. Health Sustain. doi: 10.1080/20964129.2020.1800415 – volume: 15 start-page: e70736 year: 2025 ident: 3447_CR26 publication-title: Ecol. Evol. doi: 10.1002/ece3.70736 – volume: 13 start-page: 2871 year: 2023 ident: 3447_CR13 publication-title: Agronomy-Basel doi: 10.3390/agronomy13122871 |
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| Snippet | Assessing the arable land ecological security (
ALES
) and its quality is not only crucial for ensuring food security but also serves as an essential... Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation... Abstract Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential... |
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| SubjectTerms | 631/158/2458 704/158 704/844 Arable land ecological security Arable land quality Different geomorphological areas Humanities and Social Sciences Impact mechanism multidisciplinary Science Science (multidisciplinary) Spatial analysis Spatial regression model |
| Title | Mechanism of arable land ecological security impact on arable land quality in different geomorphological areas of Northeast China |
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