Modeling multi-scale relationships between wilderness area changes and potential drivers: Evidence from the southeast coastal area of China

荒野 荒野地区 地理 比例(比率) 环境资源管理 植被(病理学) 生态学 环境保护 环境科学 地图学 医学 生物 病理
作者
Zhengduo Xu,Lingyun Liao,Shenfan Hou,Qiaochun Gan,Siyuan Shen,Yue Cao,Siren Lan
出处
期刊:Journal for Nature Conservation [Elsevier BV]
卷期号:78: 126583-126583 被引量:3
标识
DOI:10.1016/j.jnc.2024.126583
摘要

An understanding of the trends and causes of wilderness change is critical in supporting wilderness conservation. However, quantitative measurement of the driving mechanisms of wilderness area changes with incorporation of spatial heterogeneity remains a challenge. An integrated wilderness mapping method was employed in this study, with Fujian Province, one of China's first Ecological Civilization Pilot Areas, serving as a case study, to identify the recent spatial distribution and the land-use change matrix of wilderness area changes in the densely populated southeast coastal regions of China. We investigated the potential drivers of changes in wilderness areas from three perspectives: anthropogenic activities and socioeconomics, natural environment, and protected areas management policies, and captured spatial variations using a Multi-Scale Geographically Weighted Regression model (MGWR). The area and quality of wilderness areas showed a decreasing trend from 2000 to 2020, with area decreasing by an average 3.63% annually and wilderness degradation being especially severe from 2010 to 2020. The loss of wilderness areas is influenced by multiple drivers, and under the influence of spatial heterogeneity, different drivers on wilderness areas have a cross-scale spatial character. Human activities and economic development are dominant in driving wilderness degradation and can exert pressure at a large scale. Protected areas may mitigate wilderness loss in the region, but wilderness near protected areas may face greater threats. Natural factors such as vegetation, precipitation and elevation have ambivalent effects, and in some area's climate change may interact with human activities to exacerbate wilderness loss. Compared with global regression and geographically weighted regression models, MGWR produces more realistic results in modeling the relationship between wilderness area changes and potential drivers. This study provides a new perspective for wilderness research, reveals the complex mechanisms of change in wilderness areas, and provides important guidance for global wilderness conservation efforts as well as a reference point for exploring the synergistic interaction between economic development and natural conservation in the densely populated southeast coastal regions of China.
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
量子星尘发布了新的文献求助10
1秒前
小南孩完成签到,获得积分10
4秒前
脑洞疼应助普鲁卡因采纳,获得10
10秒前
zhaoyaoshi完成签到 ,获得积分10
10秒前
chiazy完成签到,获得积分10
11秒前
智慧金刚完成签到 ,获得积分10
11秒前
汉堡包应助科研通管家采纳,获得10
11秒前
科研通AI2S应助科研通管家采纳,获得10
11秒前
11秒前
迪鸣完成签到,获得积分0
13秒前
浪费青春传奇完成签到 ,获得积分10
16秒前
少女徐必成完成签到 ,获得积分10
16秒前
健壮的思枫完成签到,获得积分10
17秒前
棱擎1号完成签到 ,获得积分10
18秒前
20秒前
tian发布了新的文献求助10
20秒前
panpanliumin完成签到,获得积分0
21秒前
普鲁卡因发布了新的文献求助10
23秒前
Keyuuu30完成签到,获得积分0
23秒前
23秒前
学者风范完成签到 ,获得积分10
25秒前
进退须臾完成签到,获得积分10
26秒前
图图发布了新的文献求助10
26秒前
liujinjin完成签到,获得积分10
27秒前
甜甜醉波完成签到,获得积分10
27秒前
小不完成签到 ,获得积分10
28秒前
小心薛了你完成签到,获得积分10
34秒前
与离完成签到 ,获得积分10
34秒前
感性的俊驰完成签到 ,获得积分10
38秒前
疯狂的凡梦完成签到 ,获得积分10
39秒前
桥豆麻袋完成签到,获得积分10
40秒前
量子星尘发布了新的文献求助10
41秒前
Hello应助幸福的杨小夕采纳,获得10
41秒前
Lighten完成签到 ,获得积分10
42秒前
lyj完成签到 ,获得积分10
43秒前
成就茗完成签到 ,获得积分10
45秒前
ZD完成签到 ,获得积分10
54秒前
56秒前
英姑应助普鲁卡因采纳,获得10
59秒前
冰糕发布了新的文献求助10
1分钟前
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
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
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 4038112
求助须知:如何正确求助?哪些是违规求助? 3575788
关于积分的说明 11373801
捐赠科研通 3305604
什么是DOI,文献DOI怎么找? 1819255
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022