Tracking changes in aquaculture ponds on the China coast using 30 years of Landsat images

地理 湿地 水产养殖 濒危物种 渔业 土地复垦 城市化 生态学 栖息地 生物 考古
作者
Yuanqiang Duan,Bo Tian,Xing Li,Dongyan Liu,Dhritiraj Sengupta,Yujue Wang,Ya Peng
出处
期刊:International journal of applied earth observation and geoinformation 卷期号:102: 102383-102383 被引量:67
标识
DOI:10.1016/j.jag.2021.102383
摘要

Although coastal aquaculture ponds provide high-quality fish protein for billions of people, they are threatened by urbanization, pollution, and climate change. Moreover, colossal aquaculture ponds pose damages such as natural wetland shrinkage and water quality deterioration. However, understanding the trends and drivers of coastal aquaculture ponds on a national scale remains a challenge. In this study, a decision-tree classifier was used to quantify the spatiotemporal distribution of aquaculture ponds over last 30 years in 12 provinces located on the coast of China. Moreover, we analyzed their trends and drivers, including geographical conditions, socioeconomic factors, and development policies. The key results of the study include the following: (1) from 1990 to 2020, the cumulative area and holding area of aquaculture ponds reached 21997.90 km2 and 9613.66 km2, representing 3.7-fold and 1.6-fold increase, respectively, than the 1990 values. Based on geographical conditions, most aquaculture ponds tend to be located in coastal plains and bays following the distribution of low-lying land. (2) Influenced by different levels of socioeconomic development and changed policies, the holding area of aquaculture ponds experienced a “rapidly increasing period” from 1990 to 2011, growing by 246 km2 per year; “stable period” between 2011 and 2017; and “sharply shrinking period” after 2017 declining by 417 km2/year. (3) Coastal land reclamation played a critical role in the expansion of aquaculture ponds by cumulatively contributing approximately 22% of the land resource in the past 30 years. In the future, as a result of increasing land competition, the extent of aquaculture ponds on the China coast tends to decrease continually.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
drzz完成签到,获得积分10
1秒前
岂有此李完成签到,获得积分10
1秒前
坚强的依凝完成签到,获得积分10
2秒前
3秒前
昏昏完成签到 ,获得积分10
3秒前
不过尔尔完成签到 ,获得积分10
4秒前
刘宏完成签到,获得积分10
5秒前
可以完成签到,获得积分10
5秒前
6秒前
坚强枫完成签到,获得积分10
7秒前
默默的巧荷完成签到,获得积分10
8秒前
一叶知秋完成签到,获得积分10
9秒前
小杰瑞完成签到,获得积分20
9秒前
希望天下0贩的0应助可以采纳,获得10
9秒前
白色梨花发布了新的文献求助10
9秒前
10秒前
包容柜子发布了新的文献求助10
10秒前
fiell完成签到,获得积分10
11秒前
眼睛大的擎苍给眼睛大的擎苍的求助进行了留言
11秒前
呆萌滑板完成签到 ,获得积分10
12秒前
12秒前
瑶瑶完成签到,获得积分10
13秒前
小猪找库里完成签到,获得积分10
14秒前
zhuzhen007完成签到 ,获得积分10
15秒前
淡定的秀发完成签到,获得积分10
15秒前
xuan完成签到,获得积分10
17秒前
龙华之士发布了新的文献求助10
17秒前
mkb发布了新的文献求助10
17秒前
sl发布了新的文献求助10
18秒前
隐形尔蝶发布了新的文献求助10
19秒前
20秒前
20秒前
仙林AK47完成签到,获得积分10
20秒前
无花果应助包容柜子采纳,获得10
20秒前
chen完成签到,获得积分10
21秒前
iNk应助河丫采纳,获得20
23秒前
小马甲应助清浅采纳,获得10
24秒前
清爽笑翠完成签到 ,获得积分10
25秒前
量子星尘发布了新的文献求助10
25秒前
28秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038446
求助须知:如何正确求助?哪些是违规求助? 3576149
关于积分的说明 11374627
捐赠科研通 3305875
什么是DOI,文献DOI怎么找? 1819354
邀请新用户注册赠送积分活动 892680
科研通“疑难数据库(出版商)”最低求助积分说明 815048