Arid
DOI10.1016/j.ecolind.2014.10.011
Empirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling
Irvine, Kathryn M.1; Miller, Scott W.2; Al-Chokhachy, Robert K.1; Archer, Eric K.3; Roper, Brett B.3; Kershner, Jeffrey L.1
通讯作者Irvine, Kathryn M.
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2015
卷号50页码:8-23
英文摘要

Conceptual models are an integral facet of long-term monitoring programs. Proposed linkages between drivers, stressors, and ecological indicators are identified within the conceptual model of most mandated programs. We empirically evaluate a conceptual model developed for a regional aquatic and riparian monitoring program using causal models (i.e., Bayesian path analysis). We assess whether data gathered for regional status and trend estimation can also provide insights on why a stream may deviate from reference conditions. We target the hypothesized causal pathways for how anthropogenic drivers of road density, percent grazing, and percent forest within a catchment affect instream biological condition. We found instream temperature and fine sediments in arid sites and only fine sediments in mesic sites accounted for a significant portion of the maximum possible variation explainable in biological condition among managed sites. However, the biological significance of the direct effects of anthropogenic drivers on instream temperature and fine sediments were minimal or not detected. Consequently, there was weak to no biological support for causal pathways related to anthropogenic drivers’ impact on biological condition. With weak biological and statistical effect sizes, ignoring environmental contextual variables and covariates that explain natural heterogeneity would have resulted in no evidence of human impacts on biological integrity in some instances. For programs targeting the effects of anthropogenic activities, it is imperative to identify both land use practices and mechanisms that have led to degraded conditions (i.e., moving beyond simple status and trend estimation). Our empirical evaluation of the conceptual model underpinning the long-term monitoring program provided an opportunity for learning and, consequently, we discuss survey design elements that require modification to achieve question driven monitoring, a necessary step in the practice of adaptive monitoring. We suspect our situation is not unique and many programs may suffer from the same inferential disconnect. Commonly, the survey design is optimized for robust estimates of regional status and trend detection and not necessarily to provide statistical inferences on the causal mechanisms outlined in the conceptual model, even though these relationships are typically used to justify and promote the long-term monitoring of a chosen ecological indicator. Our application demonstrates a process for empirical evaluation of conceptual models and exemplifies the need for such interim assessments in order for programs to evolve and persist. Published by Elsevier Ltd.


英文关键词Adaptive monitoring Grazing Heterogeneous landscapes Long-term monitoring Mediator Moderator Macroinvertebrates Path analysis Roads Sedimentation
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000348265200002
WOS关键词LAND-USE ; STREAM HABITAT ; BIOLOGICAL INTEGRITY ; HEADWATER STREAMS ; PREDICTIVE MODELS ; MOUNTAIN STREAMS ; PATH-ANALYSIS ; ECOSYSTEMS ; SEDIMENT ; RESPONSES
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构United States Geological Survey ; E18
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/186796
作者单位1.US Geol Survey, Northern Rocky Mt Sci Ctr, Bozeman, MT 59715 USA;
2.Utah State Univ, Dept Watershed Sci, BLM Natl Aquat Monitoring Ctr, Logan, UT 84322 USA;
3.USDA, Forest Serv, Forest Sci Lab, Logan, UT 84321 USA
推荐引用方式
GB/T 7714
Irvine, Kathryn M.,Miller, Scott W.,Al-Chokhachy, Robert K.,et al. Empirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling[J]. United States Geological Survey, E18,2015,50:8-23.
APA Irvine, Kathryn M.,Miller, Scott W.,Al-Chokhachy, Robert K.,Archer, Eric K.,Roper, Brett B.,&Kershner, Jeffrey L..(2015).Empirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling.ECOLOGICAL INDICATORS,50,8-23.
MLA Irvine, Kathryn M.,et al."Empirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling".ECOLOGICAL INDICATORS 50(2015):8-23.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Irvine, Kathryn M.]的文章
[Miller, Scott W.]的文章
[Al-Chokhachy, Robert K.]的文章
百度学术
百度学术中相似的文章
[Irvine, Kathryn M.]的文章
[Miller, Scott W.]的文章
[Al-Chokhachy, Robert K.]的文章
必应学术
必应学术中相似的文章
[Irvine, Kathryn M.]的文章
[Miller, Scott W.]的文章
[Al-Chokhachy, Robert K.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。