Assessment of Cultivated Land Productivity and Its Spatial Differentiation in Dongting Lake Region: A Case Study of Yuanjiang City, Hunan Province

Abstract

Cultivated land is an important carrier of grain production, and scientific assessing of cultivated land productivity is of great significance to ensure food security. This paper assessed the overall productivity of cultivated land in Yuanjiang city from the perspectives of quantitative structure, spatial distribution and correlation with national land use. We applied statistical and GIS (geographic information system) spatial analysis methods to 16 secondary indicators of productivity. The results showed that the productivity index of cultivated land ranged from 1642.79 to 4140.09, concentrated in classes 2–6, among the most productive of 15 classes in total. The cultivated productivity indexes of most towns showed quantitative structural patterns of “inverted pyramid” and “dumbbell” types. Cultivated lands with high productivity showed a spatial distribution that decreased from the north to the south and increased from the center to the periphery. The spatial distribution of the higher-level classes in the cultivated land productivity index and the national cultivated land use index was similar. The correlation coefficient between the indexes for cultivated land productivity and the annual standard crop yield was 0.8817, implying that the index reflected local grain production capacity very well. In general, the research offered a reference and technical support for the sustainable use of cultivated land resources and enhanced regional cultivated land production capacity.

Assessing UN indicators of land degradation neutrality and proportion of degraded land for Botswana using remote sensing based national level metrics

“…The occurrences of land productivity and SOCs improvement in artificial surface areas present a policy option for Botswana to better leverage its expanding human settlements for carbon storage. This is supported by findings from studies examining urban environments as carbon storage such as Zhao, Zhou, Li, Xiao, and Jiang (2018) and Churkina, Brown, and Keoleian (2010). Conversion of otherlands or croplands to settlements with parks and lawns may be beneficial as carbon uptake and storage might increase with more vegetation cover in settlements (Zhao et al, 2018 In this study, we successfully assessed LDN and SDG indicator 15.3.1 using two approaches: First, using default datasets (DD) as recommended by UNCCD, and second, national metrics (NM) that we developed using freely available satellite based datasets, such as from LANDSAT and MODIS, as well as in situ data.…”

“…The occurrences of land productivity and SOCs improvement in artificial surface areas present a policy option for Botswana to better leverage its expanding human settlements for carbon storage. This is supported by findings from studies examining urban environments as carbon storage such as Zhao, Zhou, Li, Xiao, and Jiang (2018) and Churkina, Brown, and Keoleian (2010). Conversion of otherlands or croplands to settlements with parks and lawns may be beneficial as carbon uptake and storage might increase with more vegetation cover in settlements (Zhao et al, 2018…”

Study on Land Consolidation Zoning in Hubei Province Based on the Coupling of Neural Network and Cluster Analysis

“…These early reports used many analysis methods, such as fuzzy clustering [18] and constellation clustering [19]. In recent years, land consolidation zoning research in other countries has mainly focused on three areas: landscape ecology [20][21][22][23], evaluation of land consolidation [24][25][26][27], and the relationships among land consolidation, agriculture, and rural development [26,28,29].…”

Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province

“…The indicators in the evaluation factors of soil characteristics, tillage conditions, and cultivated land type attributes are graded and assigned through Jenks Natural Breaks Classification on the basis of relevant research results such as "Grading Regulations for Agricultural Land Quality" (GB/T28407-2012) and "Cultivated Land Quality Gradation" (GB/T 33469-2016). As for the determination of indicator weights, three experts in this field were invited to apply expert choice in Analytic Hierarchy Process (AHP) software to make a pairwise comparison for deciding the relative importance of each level of indicators to the target of the previous level [24]. After inspecting the consistency of indicator weights at all levels of all experts, the average value was considered as the corresponding indicator weight.…”

“…Characteristics and application scope of China's main cultivated land quality (CLQ) evaluation results. In recent years, the investigation and evaluation of CLQ has paid more and more attention to the protection of the comprehensive quality of cultivated land production, ecology and health [10][11][12], mainly related to soil quality assessment [13][14][15], soil health assessment [16][17][18][19], multifunctional analysis of cultivated land [20,21], accounting of cultivated land productivity [22][23][24], land production potential evaluation [25,26], soil safety evaluation [27][28][29][30], evaluation of cultivated land healthy productivity [31,32], land ecological research [33,34], and land remediation and utilization [35][36][37][38]. It shows that the evaluation of CLQ is constantly advancing with the times (Figure 1), and new content is constantly added [39].…”