The importance of the standardizing sampling methodology to detect altitudinal gradients in mountains: A study case for the resident bird community in a hotspot (Atlantic forest) and the Middle Domain Effect

热点(地质) 地理 距离采样 采样(信号处理) 生态学 大西洋森林 自然地理学 生物 栖息地 地质学 计算机科学 滤波器(信号处理) 地球物理学 计算机视觉
作者
Carolina A. Ferreira,Gilmar Perbiche-Neves
出处
期刊:Acta Oecologica-international Journal of Ecology [Elsevier BV]
卷期号:110: 103677-103677 被引量:5
标识
DOI:10.1016/j.actao.2020.103677
摘要

Abstract Among the theories that attempt to explain the elevational distribution of metazoan species along elevational gradients, the Mid-Domain Effect (MDE) is one of most debated and criticized. Here, we test whether the diversity of birds along elevational gradients in the Serra do Caparao, a mountain of the Brazilian Atlantic Forest, is explicable by the MDE. We sampled an elevational gradient between 970 m.a.s.l. and 1970 m.a.s.l. of forest vegetation, with elevational bands every 100 m. We observed a hump-shaped richness pattern of birds along the gradient, with more species in intermediate elevations. It decreased at lower and higher elevations, thereby following a unimodal distribution. Distribution of species richness indicated a high correlation with the tested MDE null model. The result was the same for endemic species. Considering the total bird species registered, up to 30% are endemic and 9 are endangered. Threatened species richness followed a different elevational distribution along the gradient: three species occurred at the lower elevations, two at the interquartile elevations and four at the highest elevations. Despite finding more species in the intermediate elevations, the areas of low and high elevations are also important for the maintenance of endemic and threatened species. To test the MDE theory and compare our results with other studies, we highlight the importance of standardized samplings and habitats. Moreover, we focus on the characterization of the surrounding landscape, which can also influence the richness of bird species diversity.

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
jinyu发布了新的文献求助10
2秒前
2秒前
起床做核酸完成签到,获得积分10
2秒前
量子星尘发布了新的文献求助10
2秒前
3秒前
科研通AI6.4应助哈哈哈哈采纳,获得10
3秒前
Cerdong发布了新的文献求助10
3秒前
今后应助盛乾亮采纳,获得10
5秒前
JamesPei应助小喽啰采纳,获得10
6秒前
彭于晏应助ZHANG采纳,获得10
6秒前
Chara_kara发布了新的文献求助10
6秒前
卡卡完成签到,获得积分10
6秒前
6秒前
GD完成签到,获得积分20
7秒前
共享精神应助李开心呀采纳,获得10
7秒前
落雪无痕发布了新的文献求助10
7秒前
于无声处发布了新的文献求助10
8秒前
今后应助开朗猫咪采纳,获得10
9秒前
9秒前
9秒前
酷波er应助MM采纳,获得10
9秒前
CC发布了新的文献求助10
10秒前
杨乐多完成签到,获得积分10
10秒前
学术pig完成签到,获得积分10
10秒前
11秒前
慕青应助Jack采纳,获得10
11秒前
wq完成签到 ,获得积分10
11秒前
12秒前
cc2004bj应助科研通管家采纳,获得10
13秒前
13秒前
13秒前
13秒前
13秒前
搜集达人应助科研通管家采纳,获得10
13秒前
顾矜应助科研通管家采纳,获得10
13秒前
香蕉觅云应助科研通管家采纳,获得10
13秒前
cc2004bj应助科研通管家采纳,获得10
13秒前
vv完成签到,获得积分10
13秒前
13秒前
英俊的铭应助科研通管家采纳,获得10
13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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6163416
求助须知:如何正确求助?哪些是违规求助? 7991320
关于积分的说明 16615507
捐赠科研通 5270889
什么是DOI,文献DOI怎么找? 2812166
邀请新用户注册赠送积分活动 1792236
关于科研通互助平台的介绍 1658469