InVEST model analysis of the impacts of land use change on landscape pattern and habitat quality in the Xiaolangdi Reservoir area of the Yellow River basin, China

栖息地 土地利用 生态系统 生态系统服务 碎片(计算) 中国 生境破碎化 生态学 土地利用、土地利用的变化和林业 环境科学 栖息地破坏 植被(病理学) 恢复生态学 景观生态学 地理 生物 病理 考古 医学
作者
Longshan Zhao,Wanyang Yu,Ping Meng,Jinsong Zhang,Jinxin Zhang
出处
期刊:Land Degradation & Development [Wiley]
卷期号:33 (15): 2870-2884 被引量:38
标识
DOI:10.1002/ldr.4361
摘要

Abstract Changes in land use impact the landscape pattern and habitat quality (LPHQ) of ecosystems. Since 1999, the Grain‐for‐Green Program (GGP) has brought dramatic changes in land use in Western China. Although many studies have reported positive contributions of the GGP to sediment reduction, the effects of the GGP on LPHQ remain unclear. This study aimed to assess the spatiotemporal characteristics of LPHQ in the Xiaolangdi Reservoir Area in China (XRAC) before and after GGP implementation (in 1990, 2000, 2010 and 2020) using the InVEST habitat quality model. The results showed that: (1) From 1990 to 2020, the main land use changes in the XRAC were a 34.97% increase in forestland and a 37.56% decrease in farmland. The landscape pattern showed decreased fragmentation and tended toward aggregation, and forestland became the dominant land use type. (2) Habitat quality in the XRAC improved from 0.63 to 0.91 between 1990 and 2020. High‐quality habitat (0.80–1) was observed in 88.24% of the XRAC in 2020. The spatial distribution of habitat degradation decreased overall, with some localized increases; areas with high levels of habitat degradation shrank and aggregated with the concentration of human activities. (3) The spatiotemporal evolution of habitat quality was influenced by both natural factors and human activities; the short‐term improvement in habitat quality in the XRAC was significantly related to the increase in forestland area, decrease in farmland area, and increase in vegetation coverage. Our results provide evidence for assessing the ecological benefit of the GGP in the Yellow River basin.
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
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
独特奇异果应助xh采纳,获得10
1秒前
旺仔同学发布了新的文献求助10
1秒前
朱gui完成签到,获得积分10
1秒前
多肉葡萄完成签到 ,获得积分10
2秒前
4秒前
传奇3应助啊棕采纳,获得10
5秒前
vvvg发布了新的文献求助10
5秒前
Jasper应助PIEZO2采纳,获得20
5秒前
Jasper应助11采纳,获得10
5秒前
Orange应助坐以待币采纳,获得10
6秒前
ZAL发布了新的文献求助10
6秒前
6秒前
李爱国应助lalala采纳,获得10
6秒前
Archie应助jie采纳,获得10
6秒前
7秒前
华仔应助勤劳的鞋垫采纳,获得10
7秒前
HDJ完成签到,获得积分10
7秒前
7秒前
xing完成签到 ,获得积分20
8秒前
LSY28发布了新的文献求助10
8秒前
隐形曼青应助cui采纳,获得10
9秒前
9秒前
chenchen发布了新的文献求助10
10秒前
汉堡包应助guoer采纳,获得10
10秒前
11秒前
xxt应助yyz2159487627采纳,获得30
12秒前
12秒前
羊肉沫发布了新的文献求助10
12秒前
13秒前
yyyy完成签到 ,获得积分10
13秒前
Vaibhav完成签到,获得积分10
13秒前
1575684369发布了新的文献求助10
14秒前
14秒前
14秒前
14秒前
15秒前
zhangsir发布了新的文献求助10
15秒前
16秒前
16秒前
纯真玉兰发布了新的文献求助10
16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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Social Cognition: Understanding People and Events 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6031365
求助须知:如何正确求助?哪些是违规求助? 7712545
关于积分的说明 16196527
捐赠科研通 5178169
什么是DOI,文献DOI怎么找? 2771095
邀请新用户注册赠送积分活动 1754471
关于科研通互助平台的介绍 1639656