Spatial correlation and impact mechanism analysis of cultivated land fragmentation and quality in the Central Plain of Liaoning Province, Northeast China

耕地 碎片(计算) 空间分布 中国 土地利用 地理 质量(理念) 共同空间格局 自然地理学 环境科学 生态学 统计 数学 遥感 生物 物理 考古 量子力学
作者
Ranran Pang,Huan Xu,Meiyu Zhang,Fengkui Qian
出处
期刊:Land Degradation & Development [Wiley]
卷期号:34 (15): 4623-4634 被引量:11
标识
DOI:10.1002/ldr.4797
摘要

Abstract Further exploration of the spatial correlation and mechanism of action between cultivated land fragmentation (CLF) and quality, which have guiding roles in improving cultivated land quality, is needed. However, the mechanism that determines how CLF affects quality has not yet been thoroughly investigated. The Central Plain of Liaoning Province was utilized as the research's study area, and the spatial autocorrelation analysis method was used to investigate the correlations between CLF and quality. The precise effects of different CLF indices on cultivated land quality have been specifically examined using the spatial error model (SEM). According to the findings, there is a “low in the west and high in the east” distribution tendency for CLF in the Central Plain area, and “high in the middle and low on both sides” for cultivated land quality. Furthermore, CLF and quality have a significant negative spatial link, with a correlation coefficient of −0.186. A rise in some CLF indices may enhance the difficulty of improving land quality. The quality of cultivated land declines by 0.275, 1.306, and 1.085 units for each unit rise in the number of patches (NP), edge density (ED), and aggregation index (AI) values, respectively. Therefore, it is possible to improve the degree of fragmentation of cultivated land according to local conditions, thereby improving the quality of cultivated land. The research results can provide a reference for achieving the trinity protection of cultivated land, in order to better improve the sustainability of cultivated land.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
hanlin完成签到,获得积分10
刚刚
刚刚
隐形小湫完成签到,获得积分10
1秒前
2秒前
3秒前
zzhui完成签到 ,获得积分10
3秒前
hanlin发布了新的文献求助10
3秒前
3秒前
4秒前
4秒前
5秒前
阳光的yuyu发布了新的文献求助10
5秒前
misalia发布了新的文献求助10
6秒前
千与千寻完成签到,获得积分10
6秒前
索马里海带应助Weiyu采纳,获得10
6秒前
nsdcdcbdv完成签到,获得积分10
6秒前
暴打鲜成完成签到 ,获得积分10
7秒前
杨旭靖完成签到 ,获得积分10
7秒前
似我完成签到,获得积分10
7秒前
小马甲应助RRhhh采纳,获得10
8秒前
8秒前
sasa发布了新的文献求助30
9秒前
拉长的怀蝶完成签到,获得积分10
9秒前
Magic麦发布了新的文献求助30
9秒前
生言生语完成签到,获得积分10
9秒前
9秒前
贪玩心情发布了新的文献求助10
9秒前
天才小榴莲完成签到,获得积分10
10秒前
11秒前
犟犟完成签到,获得积分10
11秒前
11秒前
11秒前
空山新雨完成签到,获得积分10
12秒前
FashionBoy应助月圆夜采纳,获得10
12秒前
12秒前
misalia完成签到,获得积分10
13秒前
CJW完成签到,获得积分10
13秒前
汉堡包应助震动的凝冬采纳,获得10
13秒前
小宇发布了新的文献求助20
14秒前
李健的粉丝团团长应助sasa采纳,获得30
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Founders of Experimental Physiology: biographies and translations 500
ON THE THEORY OF BIRATIONAL BLOWING-UP 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6373403
求助须知:如何正确求助?哪些是违规求助? 8186833
关于积分的说明 17282216
捐赠科研通 5427398
什么是DOI,文献DOI怎么找? 2871437
邀请新用户注册赠送积分活动 1848213
关于科研通互助平台的介绍 1694523