Implementing land evaluation and site assessment ( Lesa system) in farmland protection
A case‐study in northeastern China
Bibliographic Data
| ID | 21648085 |
|---|---|
| Authors | Fengkui Qian (0000-0001-6950-6219, College of Land and Environment Shenyang Agriculture University Shenyang PR China, corresponding author), Weiwen Wang (0000-0002-3097-6712, School of Public Administration China University of Geosciences Wuhan PR China), Qiubing Wang (College of Land and Environment Shenyang Agriculture University Shenyang PR China), Rattan Lal (0000-0002-9016-2972, Carbon Management and Sequestration Center School of Environment and Natural Resources, The Ohio State University Columbus Ohio USA) |
| Year | 2021 |
| Volume | 32 |
| Issue | 7 |
| Pages | 2437-2452 |
| Publication date | 2021-04-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Land Degradation and Development (JOURNAL) |
| Journal identifiers | ISSN: 1085-3278 • E-ISSN: 1099-145X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ldr.3922 |
| OpenAlex | W3130950322 |
| Language | EN |
| Citations received | 3 |
| References cited | 29 |
Farmland evaluation has become a major topic in farmland protection research. Due to the lack of reasonable and scientifically reliable evaluation methods for farmland protection, the farmland of quality and covering a wide area are at high risk of degradation and destruction in China due mainly to rapid industrialization and urbanization. The land evaluation and site assessment (LESA) system has been successfully applied to protect important farmland globally. To better understand and testify the flexibility and suitability of the LESA system for farmland protection in different geomorphic regions in China, we investigated the delineation of basic farmland by applying and testing the LESA system in Liaoning Province of China. In this study, the LESA system was constructed and comprehensively evaluated through the land evaluation (LE) and site assessment (SA) subsystems; soil conditions suitable for agriculture and site conditions feasible for other land uses were selected in the LE and SA subsystems, respectively. The results demonstrated that the ratios of the LE and SA subsystems were 6:4, 5:5, and 4:6 in the middle plain area (MPA), eastern mountainous area (EMA), and western hilly area (WHA), respectively. Farmlands with LE scores over 80 accounted for 80.7%, 34.7%, and 28.6% in the MPA, WHA, and EMA, respectively. Moreover, 37.2% of farmland with high SA scores (over 50) was primarily distributed in the WHA, and only 7.1% and 0.4% in the MPA and EMA, respectively. The farmland ratios with LESA scores over 60 were 74.8%, 52.2%, and 30.2% in the MPA, EMA, and WHA, respectively. In particular, the total farmland was grouped into three primary categories, which scientifically demonstrated the suitability and compatibility of the farmland features and also provided guidance for the implementation of farmland consolidation and remediation techniques
Agricultural land · Agriculture · Agroforestry · China · Environmental protection · Geography · Industrialisation · Urbanization · Environmental Science · Land Use and Ecosystem Services · Soil and Land Suitability Analysis · Soil erosion and sediment transport · Ecology
Spatial Analysis of Cultivated Land Productivity, Site Condition and Cultivated Land Health at County Scale
Spatial correlation and impact mechanism analysis of cultivated land fragmentation and quality in the Central Plain of Liaoning Province, Northeast China
Delineating rigid and elastic coupled urban growth boundaries to constrain spatial sprawl
Investigation of a coupling model of coordination between urbanization and the environment
Global estimates of the value of ecosystems and their services in monetary units
Investigation of a “coupling model” of coordination between low-carbon development and urbanization in China
Changes in the global value of ecosystem services
Agricultural location theory
Assessing farmland protection policy in China
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |