Do fishes enjoy the view? A MaxEnt assessment of fish habitat suitability within scenic rivers

栖息地 航程(航空) 生态学 地理 淡水鱼 物种分布 渔业 生物 复合材料 材料科学
作者
Daniel J. McGarvey,Alexander L. Brown,Elsa B. Chen,Catherine Viverette,Philip A. Tuley,Olivia C. Latham,Phillip M Gibbs,Allyson E. Richins,Michelle C. Deadwyler,Baron Lin,Erik A. Kaseloo
出处
期刊:Biological Conservation [Elsevier BV]
卷期号:263: 109357-109357 被引量:4
标识
DOI:10.1016/j.biocon.2021.109357
摘要

Scenic rivers programs are a potential tool to conserve freshwater habitat but few studies have attempted to characterize fish habitat within scenic rivers. Using the Virginia Scenic Rivers Program as a case study, we built species distribution models for a representative set of Virginia freshwater fishes and tested whether model-predicted habitat suitability values for scenic rivers are consistently higher than the range-wide average values. We began by selecting 33 fish species that were broadly representative of the complete functional trait space comprised by Virginia's freshwater ichthyofauna. This subset included 11 state-listed imperiled species. Next, we built maximum entropy species distribution models for each of the 33 fishes and used the models to predict habitat suitability throughout each species' range. Habitat suitability within state-listed scenic rivers was then summarized and compared with the complete, state-wide distribution of habitat suitability for each species. For 21 of 33 species, model-predicted habitat suitability was significantly higher in currently listed Virginia scenic rivers than in the state-wide distribution; of these 21 species, 5 were imperiled taxa. Furthermore, habitat suitability within scenic rivers is predicted to exceed the range-wide average by a significant margin for 25 species, including eight imperiled species, if all pending scenic listing petitions are approved. We conclude that scenic rivers provide important conservation benefits to Virginia's freshwater fishes. We also note that our flexible, model-based process can be applied in other rivers and used to inform other types of freshwater conservation programs that seek to identify and protect the highest quality habitats.

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
斯文败类应助5s采纳,获得10
1秒前
1中蓝完成签到 ,获得积分10
2秒前
Sylvia卉完成签到,获得积分10
2秒前
3秒前
柯夫子完成签到,获得积分10
6秒前
6秒前
扶风完成签到,获得积分10
6秒前
大模型应助Tk采纳,获得10
7秒前
df完成签到 ,获得积分10
7秒前
NexusExplorer应助大胆的语堂采纳,获得10
8秒前
科研通AI6.2应助郭WL采纳,获得10
9秒前
善学以致用应助猪猪猪采纳,获得10
10秒前
张海桐发布了新的文献求助30
11秒前
11秒前
12秒前
12秒前
健壮诗桃发布了新的文献求助10
12秒前
12秒前
简单向露完成签到,获得积分10
13秒前
xiao柒柒柒完成签到,获得积分10
13秒前
14秒前
15秒前
bearbiscuit完成签到,获得积分10
15秒前
爆米花应助孤独的sum采纳,获得10
16秒前
16秒前
半夏发布了新的文献求助10
17秒前
lian发布了新的文献求助10
17秒前
hbpu230701完成签到,获得积分10
17秒前
科研通AI6.4应助7890733采纳,获得10
18秒前
小田发布了新的文献求助10
18秒前
完美世界应助心随以动采纳,获得10
19秒前
明亮黑夜发布了新的文献求助10
19秒前
火影迷发布了新的文献求助10
19秒前
拾捌完成签到,获得积分10
20秒前
啊啊发布了新的文献求助10
20秒前
wanci应助oliverrrr采纳,获得10
20秒前
20秒前
20秒前
小二郎应助科研通管家采纳,获得10
21秒前
ephore应助科研通管家采纳,获得10
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
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 6360136
求助须知:如何正确求助?哪些是违规求助? 8174206
关于积分的说明 17216738
捐赠科研通 5414961
什么是DOI,文献DOI怎么找? 2865731
邀请新用户注册赠送积分活动 1843049
关于科研通互助平台的介绍 1691244