Pub Date : 2009-05-19DOI: 10.1080/15555270902729280
P. Klerks, Margo A. Blaha
Heat tolerance of organisms is an important determinant of the potential impact of global warming and could thus be a very relevant bioindicator. If heat tolerance increases due to acclimation or adaptation, climate change impacts will be less than anticipated. In contrast, a decreased heat tolerance may indicate that a population is already stressed. As a case study, we compared heat tolerances among fish collected from pairs of sites with different thermal regimes, for the least killifish (Heterandria formosa) and the eastern mosquitofish (Gambusia holbrooki). We quantified heat tolerance as temperature-at-death and time-to-death when field-collected fish were exposed in the laboratory to increasing water temperatures. For the four pairs of populations that were compared, two differed in heat tolerance. Fish from a site with above-normal temperatures had a reduced heat tolerance indicative of being stressed. Fish from another site with above-normal temperatures had an elevated heat tolerance and this in...
{"title":"Heat Tolerance as an Indicator of Climate Change Impacts: General Considerations and a Case Study in Poeciliid Fish","authors":"P. Klerks, Margo A. Blaha","doi":"10.1080/15555270902729280","DOIUrl":"https://doi.org/10.1080/15555270902729280","url":null,"abstract":"Heat tolerance of organisms is an important determinant of the potential impact of global warming and could thus be a very relevant bioindicator. If heat tolerance increases due to acclimation or adaptation, climate change impacts will be less than anticipated. In contrast, a decreased heat tolerance may indicate that a population is already stressed. As a case study, we compared heat tolerances among fish collected from pairs of sites with different thermal regimes, for the least killifish (Heterandria formosa) and the eastern mosquitofish (Gambusia holbrooki). We quantified heat tolerance as temperature-at-death and time-to-death when field-collected fish were exposed in the laboratory to increasing water temperatures. For the four pairs of populations that were compared, two differed in heat tolerance. Fish from a site with above-normal temperatures had a reduced heat tolerance indicative of being stressed. Fish from another site with above-normal temperatures had an elevated heat tolerance and this in...","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"43 1","pages":"46-66"},"PeriodicalIF":0.0,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270902729280","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-05-19DOI: 10.1080/15555270802374765
G. Suter
{"title":"Indicators of What for What","authors":"G. Suter","doi":"10.1080/15555270802374765","DOIUrl":"https://doi.org/10.1080/15555270802374765","url":null,"abstract":"","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"4 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802374765","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802529947
Dana L. Miller, W. L. Nelson
{"title":"Dendroclimatology can discover our future old tools evolve to meet new needs","authors":"Dana L. Miller, W. L. Nelson","doi":"10.1080/15555270802529947","DOIUrl":"https://doi.org/10.1080/15555270802529947","url":null,"abstract":"","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"153-155"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802529947","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802551776
T. Palmer, P. Montagna, R. Kalke
{"title":"Benthic Indicators of the Initial Effect of Opening a Channel","authors":"T. Palmer, P. Montagna, R. Kalke","doi":"10.1080/15555270802551776","DOIUrl":"https://doi.org/10.1080/15555270802551776","url":null,"abstract":"","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"205-206"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802551776","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802374690
P. Montagna, T. Palmer, R. Kalke, A. Gossmann
A common problem in environmental assessment is a lack of data at appropriate spatial and temporal scales. For example, imagine having long-term data from an adjacent area, but none in the assessment area. One approach to solving this dilemma is to identify the representativeness of the long-term study site. The purpose of the current study is to sample a salinity gradient over broad spatial scales in the Lavaca-Colorado Estuary to determine how well six long-term monitoring stations represent the spatial variability of benthic communities in order to assess the influence of the Colorado River. Samples were collected from 18 stations to measure benthic community structure as bioindicators, and hydrographic and sediment characteristics as environmental stressor indicators. In multivariate analysis, the macrobenthic communities separated into five groups, of which four were represented by long-term stations. These findings demonstrate that the long-term stations are representative of environmental change in...
{"title":"Suitability of Using a Limited Number of Sampling Stations to Represent Benthic Habitats in Lavaca-Colorado Estuary, Texas","authors":"P. Montagna, T. Palmer, R. Kalke, A. Gossmann","doi":"10.1080/15555270802374690","DOIUrl":"https://doi.org/10.1080/15555270802374690","url":null,"abstract":"A common problem in environmental assessment is a lack of data at appropriate spatial and temporal scales. For example, imagine having long-term data from an adjacent area, but none in the assessment area. One approach to solving this dilemma is to identify the representativeness of the long-term study site. The purpose of the current study is to sample a salinity gradient over broad spatial scales in the Lavaca-Colorado Estuary to determine how well six long-term monitoring stations represent the spatial variability of benthic communities in order to assess the influence of the Colorado River. Samples were collected from 18 stations to measure benthic community structure as bioindicators, and hydrographic and sediment characteristics as environmental stressor indicators. In multivariate analysis, the macrobenthic communities separated into five groups, of which four were represented by long-term stations. These findings demonstrate that the long-term stations are representative of environmental change in...","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"156-171"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802374690","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802568531
R. Epting, C. Price Robison, Ravi C. Reddi
Surface water structures and associated active stage management and water use have altered many lakes. Assessing the degree of alteration requires an indicator of hydrologic regime as a first step. Water level regime is an organizing principal of soil morphology and the structure and function of wetland vegetative communities in lakes, marshes, ponds, and wet prairies. Although lake classifications have included a wide variety of physical and biological indicators for various purposes, none is based on hydrologic statistics of water level regimes beyond frequency parameters and simple stage range. Statistical measures of exceedance and level change were derived from the gauge record for a sample of 135 lakes. These measures were used in a principal component analysis to derive independent indicators for lake classification. The first two principal components accounted for 88% of the variance of six original variables and identified two indicators of hydrologic regimes: stage range (50%) and stage rise/fal...
{"title":"Gauge Record Hydrologic Statistics: Indicators for Lake Classification","authors":"R. Epting, C. Price Robison, Ravi C. Reddi","doi":"10.1080/15555270802568531","DOIUrl":"https://doi.org/10.1080/15555270802568531","url":null,"abstract":"Surface water structures and associated active stage management and water use have altered many lakes. Assessing the degree of alteration requires an indicator of hydrologic regime as a first step. Water level regime is an organizing principal of soil morphology and the structure and function of wetland vegetative communities in lakes, marshes, ponds, and wet prairies. Although lake classifications have included a wide variety of physical and biological indicators for various purposes, none is based on hydrologic statistics of water level regimes beyond frequency parameters and simple stage range. Statistical measures of exceedance and level change were derived from the gauge record for a sample of 135 lakes. These measures were used in a principal component analysis to derive independent indicators for lake classification. The first two principal components accounted for 88% of the variance of six original variables and identified two indicators of hydrologic regimes: stage range (50%) and stage rise/fal...","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"193-204"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802568531","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802429700
F. Adebiyi, J. Sonibare, Taofik Adewale Adedosu, A. Daramola, P. Omode, E. Obanijesu
The Suya meat samples sold in the open market, roadsides and motor parks were collected from four towns in Southwestern Nigeria. The meat was investigated as a potential bioindicator of metal exposure to humans in an urban environment. These were pulverized, digested then analyzed using Atomic Absorption Spectroscopy (AAS) technique to determine the concentrations of five elements (Fe, Zn, Pb, Mn, and Cu). Iron has the highest concentrations in the range of 102 and 406 mg/kg while Mn has the least values: 4.80-15.4 mg/kg. The results show that even though meat is a rich source of essential and beneficial minerals required for healthy growth, excesses of these metals may be ingested from Suya; sources which include wood smoke, street dusts, and vehicular emissions and debris from automobile break parts are the identified origins of some of these excesses. Analysis of certified standard reference material IAEA-V-10 Hay (powder) was carried out to assure accuracy and precision of the technique.
{"title":"Assessment of the Effects of Air Pollution Using Road-Side Roasted Meats (Suya)as Indicators","authors":"F. Adebiyi, J. Sonibare, Taofik Adewale Adedosu, A. Daramola, P. Omode, E. Obanijesu","doi":"10.1080/15555270802429700","DOIUrl":"https://doi.org/10.1080/15555270802429700","url":null,"abstract":"The Suya meat samples sold in the open market, roadsides and motor parks were collected from four towns in Southwestern Nigeria. The meat was investigated as a potential bioindicator of metal exposure to humans in an urban environment. These were pulverized, digested then analyzed using Atomic Absorption Spectroscopy (AAS) technique to determine the concentrations of five elements (Fe, Zn, Pb, Mn, and Cu). Iron has the highest concentrations in the range of 102 and 406 mg/kg while Mn has the least values: 4.80-15.4 mg/kg. The results show that even though meat is a rich source of essential and beneficial minerals required for healthy growth, excesses of these metals may be ingested from Suya; sources which include wood smoke, street dusts, and vehicular emissions and debris from automobile break parts are the identified origins of some of these excesses. Analysis of certified standard reference material IAEA-V-10 Hay (powder) was carried out to assure accuracy and precision of the technique.","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"172-179"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802429700","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802529913
E. Shinn
{"title":"Corals as Bioindicators of Climate Change","authors":"E. Shinn","doi":"10.1080/15555270802529913","DOIUrl":"https://doi.org/10.1080/15555270802529913","url":null,"abstract":"","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"5 1","pages":"149-152"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802529913","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60026020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-12-02DOI: 10.1080/15555270802537510
B. Huntington, K. Boyer
Through bioassay techniques and field collections of red macroalgae (Gracilariopsis sp.) and eelgrass (Zostera marina), we evaluated growth, tissue %Nitrogen (N) and N stable isotopic signatures as bioindicators of potential changes in N supply to Tomales Bay, CA (USA). Gracilariopsis sp. collected, cultured, and outplanted across a spatial gradient in Tomales Bay showed pronounced changes in N patterns from past studies in this system, and was superior to field collections in detecting spatial N signals. Rather than a single peak in N concentration near the oceanic source found in previous work, we detected two N peaks, one near the bay head and one near the bay mouth. This spatial pattern suggests two sources account for these discrete regions of increased N supply. The temporal N patterns showed marked seasonality, with greater tissue N concentration during the wet season and reduced N concentrations during the dry season. The spatial patterns presented here suggest shifting nutrient dynamics within To...
通过生物测定技术和野外采集红藻(Gracilariopsis sp.)和大叶藻(Zostera marina)，我们评估了生长、组织%氮(N)和氮稳定同位素特征作为CA (USA) Tomales Bay N供应潜在变化的生物指标。在Tomales Bay采集、培养和外植的冈叶草(Gracilariopsis sp.)在该系统中表现出明显的N模式变化，在探测空间N信号方面优于野外采集。与以往在海洋源附近发现的单一N浓度峰不同，我们检测到两个N浓度峰，一个在海湾头附近，一个在海湾口附近。这种空间格局表明，两个来源解释了这些离散区域的氮供应增加。时间格局表现出明显的季节性，湿季组织氮浓度较高，旱季组织氮浓度较低。这里呈现的空间格局表明，在…
{"title":"Evaluating Patterns of Nitrogen Supply Using Macroalgal Tissue Content and Stable Isotopic Signatures in Tomales Bay, CA","authors":"B. Huntington, K. Boyer","doi":"10.1080/15555270802537510","DOIUrl":"https://doi.org/10.1080/15555270802537510","url":null,"abstract":"Through bioassay techniques and field collections of red macroalgae (Gracilariopsis sp.) and eelgrass (Zostera marina), we evaluated growth, tissue %Nitrogen (N) and N stable isotopic signatures as bioindicators of potential changes in N supply to Tomales Bay, CA (USA). Gracilariopsis sp. collected, cultured, and outplanted across a spatial gradient in Tomales Bay showed pronounced changes in N patterns from past studies in this system, and was superior to field collections in detecting spatial N signals. Rather than a single peak in N concentration near the oceanic source found in previous work, we detected two N peaks, one near the bay head and one near the bay mouth. This spatial pattern suggests two sources account for these discrete regions of increased N supply. The temporal N patterns showed marked seasonality, with greater tissue N concentration during the wet season and reduced N concentrations during the dry season. The spatial patterns presented here suggest shifting nutrient dynamics within To...","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"180-192"},"PeriodicalIF":0.0,"publicationDate":"2008-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802537510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-08-18DOI: 10.1080/15555270802266094
B. Danis, E. Berghe
Within the context of topical global issues such as climate change, loss of biological diversity, persistent contamination and depletion of marine fisheries, assessing effects of environmental chan...
在气候变化、生物多样性丧失、持续污染和海洋渔业枯竭等全球热点问题的背景下，评估环境变化的影响……
{"title":"Bridging Disciplines to Address Complex Questions: The Need for Data Publication","authors":"B. Danis, E. Berghe","doi":"10.1080/15555270802266094","DOIUrl":"https://doi.org/10.1080/15555270802266094","url":null,"abstract":"Within the context of topical global issues such as climate change, loss of biological diversity, persistent contamination and depletion of marine fisheries, assessing effects of environmental chan...","PeriodicalId":92776,"journal":{"name":"Environmental bioindicators","volume":"3 1","pages":"136-138"},"PeriodicalIF":0.0,"publicationDate":"2008-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15555270802266094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60025488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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