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Journal articles on the topic 'Biodiversity indicator'

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Published: 4 June 2021
Last updated: 28 January 2023

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1

Reyers, B., A. S. van Jaarsveld, and M. Krüger. "Complementarity as a biodiversity indicator strategy." Proceedings of the Royal Society of London. Series B: Biological Sciences 267, no. 1442 (March 7, 2000): 505–13. http://dx.doi.org/10.1098/rspb.2000.1029.

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2

Büchs, Wolfgang, Alexandra Harenberg, Joachim Zimmermann, and Birgit Weiß. "Biodiversity, the ultimate agri-environmental indicator?" Agriculture, Ecosystems & Environment 98, no. 1-3 (September 2003): 99–123. http://dx.doi.org/10.1016/s0167-8809(03)00073-2.

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3

Bal, Payal, Ayesha IT Tulloch, Prue FE Addison, Eve McDonald-Madden, and Jonathan R. Rhodes. "Selecting indicator species for biodiversity management." Frontiers in Ecology and the Environment 16, no. 10 (November 13, 2018): 589–98. http://dx.doi.org/10.1002/fee.1972.

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4

Sparks, Tim H., Stuart H. M. Butchart, Andrew Balmford, Leon Bennun, Damon Stanwell-Smith, Matt Walpole, Nicholas R. Bates, et al. "Linked indicator sets for addressing biodiversity loss." Oryx 45, no. 3 (June 21, 2011): 411–19. http://dx.doi.org/10.1017/s003060531100024x.

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AbstractThe target adopted by world leaders of significantly reducing the rate of biodiversity loss by 2010 was not met but this stimulated a new suite of biodiversity targets for 2020 adopted by the Parties to the Convention on Biological Diversity (CBD) in October 2010. Indicators will be essential for monitoring progress towards these targets and the CBD will be defining a suite of relevant indicators, building on those developed for the 2010 target. Here we argue that explicitly linked sets of indicators offer a more useful framework than do individual indicators because the former are easier to understand, communicate and interpret to guide policy. A Response-Pressure-State-Benefit framework for structuring and linking indicators facilitates an understanding of the relationships between policy actions, anthropogenic threats, the status of biodiversity and the benefits that people derive from it. Such an approach is appropriate at global, regional, national and local scales but for many systems it is easier to demonstrate causal linkages and use them to aid decision making at national and local scales. We outline examples of linked indicator sets for humid tropical forests and marine fisheries as illustrations of the concept and conclude that much work remains to be done in developing both the indicators and the causal links between them.
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5

Silva, A. C. F., P. Tavares, M. Shapouri, T. Y. Stigter, J. P. Monteiro, M. Machado, L. Cancela da Fonseca, and L. Ribeiro. "Estuarine biodiversity as an indicator of groundwater discharge." Estuarine, Coastal and Shelf Science 97 (January 2012): 38–43. http://dx.doi.org/10.1016/j.ecss.2011.11.006.

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6

MENDONÇA, VALERIA MELO, Marta Jeidjane Borges Ribeiro, Ramon Santos Carvalho, Jandira Reis Vasconcelos, Gilton José Ferreira Da Silva, and Mário Jorge Campos Dos Santos. "The Technological Indicators and Plant Biodiversity." International Journal for Innovation Education and Research 7, no. 1 (January 31, 2019): 105–20. http://dx.doi.org/10.31686/ijier.vol7.iss1.1289.

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The use of plant biodiversity in the elaboration of products or processes contributes to the progress of technological innovation and to the recognition of the profitable potential of biological resources. Therefore, this research aims to perform a systematic review on technological indicators of the use of genetic patrimony, specifically of vegetal biodiversity, to identify concepts and measurement techniques. A systematic survey was carried out at the bases of Scopus, Web of Science, and Science Direct using thematic strings (Genetic Patrimony, Plant Biodiversity and Technological Indicator). The recovered files were exported for analysis in StArt software. There was no mention of the topic, so the systematic review analyzed articles selected by combining strings adopting inclusion and exclusion criteria. The research made it possible to identify relevant and guiding data on the subject studied, but did not reveal the existence of an indicator or index that relates the use of vegetal biodiversity to the production of patents.
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7

Chape, S., J. Harrison, M. Spalding, and I. Lysenko. "Measuring the extent and effectiveness of protected areas as an indicator for meeting global biodiversity targets." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1454 (February 28, 2005): 443–55. http://dx.doi.org/10.1098/rstb.2004.1592.

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There are now over 100 000 protected areas worldwide, covering over 12% of the Earth's land surface. These areas represent one of the most significant human resource use allocations on the planet. The importance of protected areas is reflected in their widely accepted role as an indicator for global targets and environmental assessments. However, measuring the number and extent of protected areas only provides a unidimensional indicator of political commitment to biodiversity conservation. Data on the geographic location and spatial extent of protected areas will not provide information on a key determinant for meeting global biodiversity targets: ‘effectiveness’ in conserving biodiversity. Although tools are being devised to assess management effectiveness, there is no globally accepted metric. Nevertheless, the numerical, spatial and geographic attributes of protected areas can be further enhanced by investigation of the biodiversity coverage of these protected areas, using species, habitats or biogeographic classifications. This paper reviews the current global extent of protected areas in terms of geopolitical and habitat coverage, and considers their value as a global indicator of conservation action or response. The paper discusses the role of the World Database on Protected Areas and collection and quality control issues, and identifies areas for improvement, including how conservation effectiveness indicators may be included in the database to improve the value of protected areas data as an indicator for meeting global biodiversity targets.
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8

Dudley, Nigel, David Baldock, Robert Nasi, and Sue Stolton. "Measuring biodiversity and sustainable management in forests and agricultural landscapes." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1454 (February 28, 2005): 457–70. http://dx.doi.org/10.1098/rstb.2004.1593.

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Most of the world's biodiversity will continue to exist outside protected areas and there are also managed lands within many protected areas. In the assessment of millennium targets, there is therefore a need for indicators to measure biodiversity and suitability of habitats for biodiversity both across the whole landscape/seascape and in specific managed habitats. The two predominant land uses in many inhabited areas are forestry and agriculture and these are examined. Many national-level criteria and indicator systems already exist that attempt to assess biodiversity in forests and the impacts of forest management, but there is generally less experience in measuring these values in agricultural landscapes. Existing systems are reviewed, both for their usefulness in providing indicators and to assess the extent to which they have been applied. This preliminary gap analysis is used in the development of a set of indicators suitable for measuring progress towards the conservation of biodiversity in managed forests and agriculture. The paper concludes with a draft set of indicators for discussion, with suggestions including proportion of land under sustainable management, amount of produce from such land, area of natural or high quality semi-natural land within landscapes under sustainable management and key indicator species.
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9

Husain, Dr Hishmi Jamil, and Siddharth Trivedi. "Use of Biodiversity Indicator and Reporting System (BIRS) for Biodiversity Assessment In Mining Landscape." International Journal of Science, Engineering and Management 9, no. 1 (January 31, 2022): 6–12. http://dx.doi.org/10.36647/ijsem/09.01.a002.

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The main aim of the study was to find out the critical biodiversity index of different habitats present within the state of Jharkhand and Odisha where Tata Steel Ltd carries out its Mining operations. The study has focused upon the biodiversity results discussion based on different biodiversity sites present within the areas. The positivism philosophy has been used for the conduction of the research. The research has focused on an inductive approach with a descriptive project design. The first-hand data collected by the Researcher has acted as the project outcomes to depict the clear image of the biodiversity within this range. The delineation method has been used to isolate the habitats and conducting the research. The biodiversity indexes found from this research have shown a greater than 1 value in every case. For Joda, Keonjhar, Odisha, it has been 4.5, contradictorily in Deojhar, Keonjhar, Odisha, it is 5.9, showing the high range of Diversity present in the ecologies of these places. The research outcome has also opened a future scope of finding out new unknown species that have been seen within the deep forests of this region. The knowledge about BIRS has been also gained with the help of this study that has focused on finding out the generic tendency of conducting biodiversity index analysis research.
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10

Guo, Li, Wu Xiaopu, Luo Zunlan, and Li Junsheng. "Establishing an indicator system for biodiversity assessment in China." Biodiversity Science 19, no. 5 (November 15, 2011): 497–504. http://dx.doi.org/10.3724/sp.j.1003.2011.08068.

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11

Zverev, A. A. "Methodological Aspects of Using Indicator Values in Biodiversity Analysis." Contemporary Problems of Ecology 13, no. 4 (July 2020): 321–32. http://dx.doi.org/10.1134/s1995425520040125.

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12

Viña, Andrés, Wei Liu, Shiqiang Zhou, Jinyan Huang, and Jianguo Liu. "Land surface phenology as an indicator of biodiversity patterns." Ecological Indicators 64 (May 2016): 281–88. http://dx.doi.org/10.1016/j.ecolind.2016.01.007.

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13

Kadoya, Taku, and Izumi Washitani. "The Satoyama Index: A biodiversity indicator for agricultural landscapes." Agriculture, Ecosystems & Environment 140, no. 1-2 (January 2011): 20–26. http://dx.doi.org/10.1016/j.agee.2010.11.007.

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14

Gao, Tian, Marcus Hedblom, Tobias Emilsson, and Anders Busse Nielsen. "The role of forest stand structure as biodiversity indicator." Forest Ecology and Management 330 (October 2014): 82–93. http://dx.doi.org/10.1016/j.foreco.2014.07.007.

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15

Pearman, Peter B., and Darius Weber. "Common species determine richness patterns in biodiversity indicator taxa." Biological Conservation 138, no. 1-2 (August 2007): 109–19. http://dx.doi.org/10.1016/j.biocon.2007.04.005.

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16

Dulvy, Nicholas K., Simon Jennings, Stuart I. Rogers, and David L. Maxwell. "Threat and decline in fishes: an indicator of marine biodiversity." Canadian Journal of Fisheries and Aquatic Sciences 63, no. 6 (June 1, 2006): 1267–75. http://dx.doi.org/10.1139/f06-035.

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Recent policy commitments aim to reduce biodiversity loss and integrate environmental concerns into fisheries management. However, there are few operational indicators for reporting biodiversity trends and judging progress in relation to management objectives. Here we develop a threat indicator based on the population status of a suite of 23 North Sea fishes from 1982 to 2001 estimated using World Conservation Union (IUCN) Red List decline criteria. The composite indicator was calculated from the weighted average of the threat scores of individual species in each year and varies from 0 to 3, where a score of 3 is equivalent to each species qualifying as "critically endangered". The proportion of threatened fishes, their degree of threat, and the composite indicator value increased steadily over time. The composite indicator value has been >1 since the late 1990s, equivalent to all species meeting the "vulnerable" criterion. A suitable reference trajectory, consistent with the World Summit on Sustainable Development commitment to "achieve by 2010 a significant reduction of the current rate of biodiversity loss" would be a significant reduction in the rate of increase in this indicator before 2010, a limit reference point could be 1 (all species vulnerable) and a target reference point could be 0 (no threatened species).
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17

Chernyshenko, O. V., V. A. Frolova, and L. P. Zhdanova. "UN strategy and ecosystem sustainability indicators for preserving Moscow’s urban biodiversity." FORESTRY BULLETIN 25, no. 3 (June 2021): 93–102. http://dx.doi.org/10.18698/2542-1468-2021-3-93-102.

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The UN Strategy for Sustainable Urban Development was analyzed taking into account different approaches to assessing biodiversity, ecosystem services, anthropogenic factors and climate change. The City Biodiversity Index or Singapore Index on City Biodiversity (CBI) was used to assess the biodiversity of Moscow. The Singapore index comprises three core sections: 1) native biodiversity, 2) ecosystem services, and 3) governance. 21 indicators have been selected. Each indicator has specific evaluation criteria with a maximum score of 4 points. Data from the Department of Nature Management and Environmental Protection of the City of Moscow, literature sources and the results of social surveys of parks were used to calculate the index. Indicators including estimates of specially protected natural areas, natural and green areas of the city, the number of native and invasive plant species, the diversity of birds, butterflies and other species were calculated.
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18

Wu, Jinzhuo, Wenshu Lin, Xuanyi Peng, and Weiguo Liu. "A Review of Forest Resources and Forest Biodiversity Evaluation System in China." International Journal of Forestry Research 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/396345.

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China is a country rich in diverse forest ecosystems due to the large span of the country, complex topography, and multiple climate regimes. In this paper, the basic information of forest resources in China was briefly introduced and the current state in the measurements of forest biodiversity and the establishment of forest biodiversity index systems in related studies were reviewed. The results showed that a lot of studies on forest biodiversity have been conducted mostly at landscape or stand level in China and the commonly used biodiversity indicators were identified and compared. Several comprehensive forest biodiversity index systems were proposed. However, there are still some problems during the construction of forest biodiversity assessment system. Due to the late establishment of biodiversity monitoring system in China, the availability of data that could be included in a forest biodiversity index system is limited, which hurdles the precise assessment of forest biodiversity. It is suggested to develop long-term monitoring stations and keep data recording consistently. Concerns should also be given to the construction of the framework of the forest biodiversity index system and the determination of the indicators’ weight. The results will provide reference for the establishment of national or regional forest biodiversity evaluation indicator systems in China.
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19

Chu, Ta-Jen, Yi-Jia Shih, Chun-Han Shih, Jia-Qiao Wang, Liang-Min Huang, and Shu-Chen Tsai. "Developing a Model to Select Indicator Species Based on Individual Species’ Contributions to Biodiversity." Applied Sciences 12, no. 13 (July 3, 2022): 6748. http://dx.doi.org/10.3390/app12136748.

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In both ecological research and engineering, the selection of indicator species is crucial. Biodiversity has always been an important policy objective for ecologists and environmental managers. Based on this target requirement, we developed a method that reveals the individual contributions of species to biodiversity to quantitatively identify indicator species for selection during environmental monitoring. The Siangshan Wetland in Hsinchu, Taiwan, was selected as an application case. The spread of mangroves not only changed the original habitat composition and function of benthic organisms in wetlands, but also led to problems such as estuary filling, flooding, and black mosquito breeding. Therefore, a large-scale mangrove removal project was undertaken by the Hsinchu City Government from October 2015 to March 2016. In this study, the biological effects of mangrove removal on benthic organisms and adjacent habitats were investigated from October 2015 to September 2016. According to biodiversity contribution algorithms, we identified five indicator species, namely, Mictyris brevidactylus, Macrophthalmus banzai, Uca arcuata, U. lacteal, and U. borealis. These indicator species had the most prominent biodiversity contribution, and they provided direct evidence of the beneficial effect of mangrove removal for wetland restoration. After mangrove deforestation, tidal flat species returned to their original habitats, and their related densities increased significantly in mangrove removal areas. Improving our understanding of the relationships between biodiversity and indicator species is crucial for the development of coastal management processes. Mangrove removal can be confirmed as an appropriate habitat rehabilitation strategy for benthic organisms. Consequently, these indicator species and the results obtained can provide valuable ecological information for those involved in coastal management or other officials seeking to control the spread of mangroves.
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20

Cohen, Joel I. "Biodiversity Education & the Anthropocene: An Indicator of Extinction or Recovery." American Biology Teacher 78, no. 4 (April 1, 2016): 293–99. http://dx.doi.org/10.1525/abt.2016.78.4.293.

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The importance of extant biodiversity, concerns regarding the rising Anthropocene extinction rates, and commitments made by signatories to biodiversity conventions each increase demands for timely data. However, as species and conservation indicators become more complex, the less accessible they are to educators. New pedagogies are needed so that students can generate their own data for studies of biodiversity and extinction. I present a simple indicator of species diversity that examines declines in species’ populations and whether or not these species subsequently recovered or faced extinction. Using such data, 14 threatened species are used as examples of the time taken for each species to reach a point of either recovery or extinction. The learning and pedagogical context for this information is reviewed, student use of the data demonstrated, and the lesson evaluated according to its learning objectives.
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21

Li, Dehuan, Wei Sun, Fan Xia, Yixuan Yang, and Yujing Xie. "Can Habitat Quality Index Measured Using the InVEST Model Explain Variations in Bird Diversity in an Urban Area?" Sustainability 13, no. 10 (May 20, 2021): 5747. http://dx.doi.org/10.3390/su13105747.

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Biodiversity maintenance is a crucial ecosystem service. Due to time limits and data availability, assessing biodiversity using indicators or models has become a hot topic in recent decades. However, whether some proposed indicators can explain biodiversity well at the local scale is still unclear. This study attempted to test whether the habitat quality index (HQI) as measured using the integrated valuation of ecosystem services and trade-offs (InVEST) model could explain variations in bird diversity in New Jiangwan Town, a rapidly urbanized region of Shanghai, China. The relationships from 2002 to 2013 among HQI and the two diversity indices, species richness and species abundance, were analyzed using Fisher’s exact test and gray correlation analysis. No significant association was found. Habitat connectivity was then integrated to develop a new combined indicator of habitat quality and connectivity index (HQCI). The associations between HQCI and the two diversity indices were improved significantly. The results indicated that connectivity may be an important factor explaining the diversity of certain species at a local scale. More empirical studies should be conducted to provide scientific evidence relating habitat quality to biodiversity.
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22

Han, Xuemei, Michael J. Gill, Healy Hamilton, Sheila G. Vergara, and Bruce E. Young. "Progress on national biodiversity indicator reporting and prospects for filling indicator gaps in Southeast Asia." Environmental and Sustainability Indicators 5 (February 2020): 100017. http://dx.doi.org/10.1016/j.indic.2019.100017.

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23

Greenstreet, Simon P. R., Axel G. Rossberg, Clive J. Fox, William J. F. Le Quesne, Tom Blasdale, Philip Boulcott, Ian Mitchell, Colin Millar, and Colin F. Moffat. "Demersal fish biodiversity: species-level indicators and trends-based targets for the Marine Strategy Framework Directive." ICES Journal of Marine Science 69, no. 10 (December 1, 2012): 1789–801. http://dx.doi.org/10.1093/icesjms/fss148.

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Abstract Greenstreet, S. P. R., Rossberg, A. G., Fox, C. J., Le Quesne, W. J. F., Blasdale, T., Boulcott, P., Mitchell, I., Millar, C., and Moffat, C. F. 2012. Demersal fish biodiversity: species-level indicators and trends-based targets for the Marine Strategy Framework Directive. – ICES Journal of Marine Science, 69: 1789–1801. The maintenance of biodiversity is a fundamental theme of the Marine Strategy Framework Directive. Appropriate indicators to monitor change in biodiversity, along with associated targets representing “good environmental status” (GES), are required to be in place by July 2012. A method for selecting species-specific metrics to fulfil various specified indicator roles is proposed for demersal fish communities. Available data frequently do not extend far enough back in time to allow GES to be defined empirically. In such situations, trends-based targets offer a pragmatic solution. A method is proposed for setting indicator-level targets for the number of species-specific metrics required to meet their trends-based metric-level targets. This is based on demonstrating significant departures from the binomial distribution. The procedure is trialled using North Sea demersal fish survey data. Although fisheries management in the North Sea has improved in recent decades, management goals to stop further decline in biodiversity, and to initiate recovery, are yet to be met.
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24

Gallardo, Belinda, Stéphanie Gascón, Xavier Quintana, and Franciso A. Comín. "How to choose a biodiversity indicator – Redundancy and complementarity of biodiversity metrics in a freshwater ecosystem." Ecological Indicators 11, no. 5 (September 2011): 1177–84. http://dx.doi.org/10.1016/j.ecolind.2010.12.019.

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25

Cai, Danlu, Klaus Fraedrich, Yanning Guan, Shan Guo, Chunyan Zhang, Leila M. V. Carvalho, and Xiuhua Zhu. "Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America." Sensors 19, no. 20 (October 17, 2019): 4499. http://dx.doi.org/10.3390/s19204499.

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Essential for directing conservation resources is to identify threatened vertebrate regions and diagnose the underlying causalities. Through relating vertebrates and threatened vertebrates to the rainfall-runoff chain, to the food chain, and to the human impact of urbanization, the following relationships are noticed: (i) The Earth’s vertebrates generally show increasing abundance and decreasing threatened species indicator (threatened species number/species abundance) for a higher Normalized Difference Vegetation Index (NDVI) or larger city-size. (ii) Regional vertebrates reveal a notable ‘U-shape profile’ (‘step-like jump’) of threatened species indicator occurs in the moderate (high) NDVI regions in China (America). (iii) Positive/green city states emerge in China and are characterized by the lowest threatened species indicators in areas of low to moderate greenness, where the greenness trend of change during the last 30 years is about three times higher in the urbanized areas than over land. (iv) Negative/brown city states emerge in America revealing high threatened species indicators for greenness exceeding NDVI > 0.2, where similar greenness trends are of both urbanized and land areas. The occurrence of green and brown city states suggests a biodiversity change pattern characterized by the threatened species indicator declining from city regimes with high to those with low indicator values for increasing ratio of the city-over-land NDVI trends.
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26

Gregory, Richard D., Petr Vořišek, David G. Noble, Arco Van Strien, Alena Klvaňová, Mark Eaton, Adriaan W. Gmelig Meyling, Andrew Joys, Ruud P. B. Foppen, and Ian J. Burfield. "The generation and use of bird population indicators in Europe." Bird Conservation International 18, S1 (August 7, 2008): S223—S244. http://dx.doi.org/10.1017/s0959270908000312.

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AbstractGlobal and regional targets to reduce the rate of biodiversity loss bring with them the need to measure the state of nature and how it is changing. A number of different biodiversity indicators have been developed in response and here we consider bird population indicators in Europe. Birds are often used as surrogates for other elements of biodiversity because they are so well known and well studied, and not for their unique intrinsic value as environmental indicators. Yet, in certain situations and at particular scales, trends in bird populations correlate with those of other taxa making them a valuable biodiversity indicator with appropriate caveats. In this paper, we look at two case studies, in the UK and Europe as a whole, where headline bird indicators, that is, summary statistics based on bird population trends, have been developed and used to inform and assist policy makers. Wild bird indicators have been adopted by many European countries and by the European Union as indicators of biodiversity and of sustainable development. In the discussion, we review the strengths and weaknesses of using bird populations in this way, and look forward to how this work might be developed and expanded.
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27

Sewell, David, and Richard Griffiths. "Can a Single Amphibian Species Be a Good Biodiversity Indicator?" Diversity 1, no. 2 (November 13, 2009): 102–17. http://dx.doi.org/10.3390/d1020102.

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28

KUDO, Takuma. "A guideline for monitoring raptors as an indicator of biodiversity." Bulletion of the International Association for Landscape Ecology-Japan 6, no. 1 (2001): 15–17. http://dx.doi.org/10.5738/jale.6.15.

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29

Harris, LR, AL Skowno, KJ Sink, L. van Niekerk, SD Holness, M. Monyeki, and P. Majiedt. "An indicator-based approach for cross-realm coastal biodiversity assessments." African Journal of Marine Science 44, no. 3 (July 3, 2022): 239–53. http://dx.doi.org/10.2989/1814232x.2022.2104373.

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30

Kasatkina, L. K. "Lichens biodiversity of oilfield Priobskoe as indicator of air pollution." Environmental Dynamics and Global Climate Change 1, no. 1S (December 15, 2008): 156–59. http://dx.doi.org/10.17816/edgcc11s156-159.

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С 2005 по 2007 гг. были заложены пробные площади (ПП) для анализа лихенофлоры на территории Приобского месторождения нефти (ООО «Сибнефть-Хантос»). Объектом исследований явились лихеносинузии кедрово-еловых древостоев, находящиеся в зоне воздействия выбросов от факельных установок по сжиганию попутного нефтяного газа. Эпифитные лихеносинузии включают 89 видов лишайников, относящихся к 4 порядкам, 15 семействам и 37 родам. Среди эпифитов массовое развитие получили виды, имеющие широкую экологическую амплитуду: Hypogymnia physodes, Parmelia ulcata, Physcia stellaris, Рhyscia aipolia, Melanelia olivacea, M. exasperate, Physconia distorta, Phaeophyscia ciliate, P. kairamoi, P. orbicularis. Встречаемость лишайников увеличивается при снижении степени поражения выбросами факела.
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Clavel, Joanne, Nicolas Poulet, Emmanuelle Porcher, Simon Blanchet, Gaël Grenouillet, Sandrine Pavoine, Anne Biton, et al. "A New Freshwater Biodiversity Indicator Based on Fish Community Assemblages." PLoS ONE 8, no. 11 (November 22, 2013): e80968. http://dx.doi.org/10.1371/journal.pone.0080968.

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32

Trindade-Filho, Joaquim, and Rafael Dias Loyola. "Performance and Consistency of Indicator Groups in Two Biodiversity Hotspots." PLoS ONE 6, no. 5 (May 26, 2011): e19746. http://dx.doi.org/10.1371/journal.pone.0019746.

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33

Edmonds, N. J., A. S. Al-Zaidan, A. A. Al-Sabah, W. J. F. Le Quesne, M. J. Devlin, P. I. Davison, and B. P. Lyons. "Kuwait's marine biodiversity: Qualitative assessment of indicator habitats and species." Marine Pollution Bulletin 163 (February 2021): 111915. http://dx.doi.org/10.1016/j.marpolbul.2020.111915.

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34

Villanueva, B., R. M. Sawalha, T. Roughsedge, E. Rius-Vilarrasa, and J. A. Woolliams. "Development of a genetic indicator of biodiversity for farm animals." Livestock Science 129, no. 1-3 (April 2010): 200–207. http://dx.doi.org/10.1016/j.livsci.2010.01.025.

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35

Björklund, Heidi, Anssi Parkkinen, Tomi Hakkari, Risto K. Heikkinen, Raimo Virkkala, and Anssi Lensu. "Predicting valuable forest habitats using an indicator species for biodiversity." Biological Conservation 249 (September 2020): 108682. http://dx.doi.org/10.1016/j.biocon.2020.108682.

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36

Pearman, Peter B., and Darius Weber. "Common species determine richness patterns in biodiversity indicator taxa: Errata." Biological Conservation 141, no. 1 (January 2008): 5. http://dx.doi.org/10.1016/j.biocon.2007.10.020.

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37

Brantschen, Jeanine, Rosetta C. Blackman, Jean-Claude Walser, and Florian Altermatt. "Environmental DNA gives comparable results to morphology-based indices of macroinvertebrates in a large-scale ecological assessment." PLOS ONE 16, no. 9 (September 21, 2021): e0257510. http://dx.doi.org/10.1371/journal.pone.0257510.

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Anthropogenic activities are changing the state of ecosystems worldwide, affecting community composition and often resulting in loss of biodiversity. Rivers are among the most impacted ecosystems. Recording their current state with regular biomonitoring is important to assess the future trajectory of biodiversity. Traditional monitoring methods for ecological assessments are costly and time-intensive. Here, we compared monitoring of macroinvertebrates based on environmental DNA (eDNA) sampling with monitoring based on traditional kick-net sampling to assess biodiversity patterns at 92 river sites covering all major Swiss river catchments. From the kick-net community data, a biotic index (IBCH) based on 145 indicator taxa had been established. The index was matched by the taxonomically annotated eDNA data by using a machine learning approach. Our comparison of diversity patterns only uses the zero-radius Operational Taxonomic Units assigned to the indicator taxa. Overall, we found a strong congruence between both methods for the assessment of the total indicator community composition (gamma diversity). However, when assessing biodiversity at the site level (alpha diversity), the methods were less consistent and gave complementary data on composition. Specifically, environmental DNA retrieved significantly fewer indicator taxa per site than the kick-net approach. Importantly, however, the subsequent ecological classification of rivers based on the detected indicators resulted in similar biotic index scores for the kick-net and the eDNA data that was classified using a random forest approach. The majority of the predictions (72%) from the random forest classification resulted in the same river status categories as the kick-net approach. Thus, environmental DNA validly detected indicator communities and, combined with machine learning, provided reliable classifications of the ecological state of rivers. Overall, while environmental DNA gives complementary data on the macroinvertebrate community composition compared to the kick-net approach, the subsequently calculated indices for the ecological classification of river sites are nevertheless directly comparable and consistent.
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Duflot, R., K. Eyvindson, and M. Mönkkönen. "Management diversification increases habitat availability for multiple biodiversity indicator species in production forests." Landscape Ecology 37, no. 2 (November 29, 2021): 443–59. http://dx.doi.org/10.1007/s10980-021-01375-8.

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Abstract Context Forest biodiversity is closely linked to habitat heterogeneity, while forestry actions often cause habitat homogenization. Alternative approaches to even-aged management were developed to restore habitat heterogeneity at the stand level, but how their application could promote habitat diversity at landscape scale remains uncertain. Objectives We tested the potential benefit of diversifying management regimes to increase landscape-level heterogeneity. We hypothesize that different styles of forest management would create a diverse mosaic of forest habitats that would in turn benefit species with various habitat requirements. Methods Forest stands were simulated under business-as-usual management, set-aside (no management) and 12 alternative management regimes. We created virtual landscapes following diversification scenarios to (i) compare the individual performance of management regimes (no diversification), and (ii) test for the management diversification hypothesis at different levels of set-aside. For each virtual landscape, we evaluated habitat availability of six biodiversity indicator species, multispecies habitat availability, and economic values of production. Results Each indicator species responded differently to management regimes, with no single regime being optimal for all species at the same time. Management diversification led to a 30% gain in multispecies habitat availability, relative to business-as-usual management. By selecting a subset of five alternative management regimes with high potential for biodiversity, gains can reach 50%. Conclusions Various alternative management regimes offer diverse habitats for different biodiversity indicator species. Management diversification can yield large gains in multispecies habitat availability with no or low economic cost, providing a potential cost-effective biodiversity tool if the management regimes are thoughtfully selected.
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Tzafesta, Eftychia, Francesco Zangaro, Valeria Specchia, and Maurizio Pinna. "An Overview of DNA-Based Applications for the Assessment of Benthic Macroinvertebrates Biodiversity in Mediterranean Aquatic Ecosystems." Diversity 13, no. 3 (March 5, 2021): 112. http://dx.doi.org/10.3390/d13030112.

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The loss of aquatic biodiversity is increasing at a rapid rate globally. There is a worldwide effort to protect, preserve and restore aquatic ecosystems. For efficient biodiversity monitoring and reliable management tools, comprehensive biodiversity data are required. The abundance and species diversity of benthic macroinvertebrates are commonly used as indicators of the aquatic ecosystem condition. Currently, macroinvertebrate species biodiversity assessment is based on morpho-taxonomy, which could be enhanced by recent advances in DNA-based tools for species identification. In particular, DNA metabarcoding has the potential to identify simultaneously many different taxa in a pool of species and to improve aquatic biomonitoring significantly, especially for indicator species. This review is focused on the current state of DNA-based aquatic biomonitoring using benthic macroinvertebrates in the Mediterranean region.
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40

Abensperg-traun, M., G. W. Arnold, D. E. Steven, G. T. Smith, L. Atkins, J. J. Viveen, and M. Gutter. "Biodiversity indicators in semi-arid, agricultural Western Australia." Pacific Conservation Biology 2, no. 4 (1995): 375. http://dx.doi.org/10.1071/pc960375.

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The predicted future loss of native Australian species of plants and animals, in part as a result of adverse land management strategies, has led to attempts to identify areas of high biotic richness (numbers of species). Bioindicators are measures of the physical environment, or of a subset of the plants or animals, that best predict biotic richness. Ideally, bioindicators should aim at predicting as large a component of the plant or animal fauna as is possible at minimum cost. For two contrasting vegetation types, we examined remnant area, vegetation structural diversity, species richness of plants, lizards and terrestrial arthropods, and the relative abundance of individual arthropod species, as indicators of faunal richness, using correlation, principal component regression and stepwise regression analyses. The study was carried out in gimlet Eucalyptus salubris woodlands (29 sites) and shrublands (27 sites) in semi-arid, agricultural Western Australia. Sites varied considerably in grazing history (woodland) and in farming history (shrubland). Fauna sampled were lizards (woodland), scorpions (woodland), isopods (woodland), cockroaches (woodland), termites (woodland, shrubland), earwigs (woodland), hemipterans (shrubland), beetles (woodland, shrubland), butterflies (shrubland) and ants (woodland, shrubland). None of the indicator variables in any analyses effectively predicted total faunal richness for either vegetation type (<35% of variation in total richness explained). In correlation analyses for woodlands, vegetation structural diversity and plant richness, but no fauna variable, explained a high percentage of the variation in the richness of lizards (56% explained by richness of native plants, +ve), scorpions (48%, richness of native plants, +ve), termites (55%, vegetation structural diversity, +ve) and beetles (59%, litter, –ve). The richness of the shrubland fauna was poorly predicted by all indicator variables (<25% explained). When using the total richness and abundance of ant functional groups, the abundance of a subset of species within ant functional groups, and of termite and beetle species, in principal component regressions, various ant functional groups explained 42% each of the richness of scorpions and beetles, and eight beetle species explained 50% of termite richness. When remnant area, vegetation structural diversity and the richness of native plants in woodland were tested in step-wise regressions as indicators of total faunal richness, remnant area was the only significant indicator variable, explaining 33% of total richness. The richness of native plants and vegetation structural diversity explained a total of 76% of the pooled richness of lizards + scorpions + termites. No significant indicator variable was found by regression procedures for total richness, or for a subset, of the shrubland fauna. We argue that differences in the predictive qualities of vegetation structure and plant richness between the vegetation types was due, in part, to differences in the spatial heterogeneity of biotic richness, and possibly the scale at which structure was measured. The use of structural diversity or plant richness as predictors of faunal richness for different woodland types, or those with different disturbance histories, or in different geographic or climatic regions, should not be adopted without verification of their efficiency at predicting the richness of the local fauna.
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Greenstreet, Simon P. R. "Biodiversity of North Sea fish: why do the politicians care but marine scientists appear oblivious to this issue?" ICES Journal of Marine Science 65, no. 8 (June 21, 2008): 1515–19. http://dx.doi.org/10.1093/icesjms/fsn102.

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Abstract Greenstreet, S. P. R. 2008. Biodiversity of North Sea fish: why do the politicians care but marine scientists appear oblivious to this issue? – ICES Journal of Marine Science, 65: 1515–1519. Political drivers underpinning the development of an Ecosystem Approach to Marine Management (EAMM) focus on conserving and restoring biodiversity. However, the Element of Ecological Quality for Fish Communities that emerged from the 2002 Bergen North Sea Ministerial Conference relates to “Changes in the proportion of large fish and hence the average weight and average maximum length of the fish community”. How did this apparent change in direction arise? Responding to advice requests from OSPAR, ICES established seven criteria for identifying “state” indicators capable of supporting indicator-based management. Application of these criteria underlined the merits of indicators of fish size, whereas diversity indices performed poorly against four of the criteria. These difficulties are examined here. Far from being oblivious to the issue of biodiversity, marine scientists recognized that they were not in a position to recommend Ecological Quality Objectives (EcoQOs) for fish biodiversity that would have relied on the use of biodiversity indicators. The use of indicators of size structure, for which the theoretical foundation was better developed, allowed the continued development of an EAMM in the short term. However, if the issue of biodiversity is to be addressed in the longer term, then shortcomings associated with the use of biodiversity indicators need to be addressed.
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Green, Elizabeth J., Louise McRae, Robin Freeman, Mike B. J. Harfoot, Samantha L. L. Hill, William Baldwin-Cantello, and William D. Simonson. "Below the canopy: global trends in forest vertebrate populations and their drivers." Proceedings of the Royal Society B: Biological Sciences 287, no. 1928 (June 3, 2020): 20200533. http://dx.doi.org/10.1098/rspb.2020.0533.

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Global forest assessments use forest area as an indicator of biodiversity status, which may mask below-canopy pressures driving forest biodiversity loss and ‘empty forest’ syndrome. The status of forest biodiversity is important not only for species conservation but also because species loss can have consequences for forest health and carbon storage. We aimed to develop a global indicator of forest specialist vertebrate populations to improve assessments of forest biodiversity status. Using the Living Planet Index methodology, we developed a weighted composite Forest Specialist Index for the period 1970–2014. We then investigated potential correlates of forest vertebrate population change. We analysed the relationship between the average rate of change of forest vertebrate populations and satellite-derived tree cover trends, as well as other pressures. On average, forest vertebrate populations declined by 53% between 1970 and 2014. We found little evidence of a consistent global effect of tree cover change on forest vertebrate populations, but a significant negative effect of exploitation threat on forest specialists. In conclusion, we found that the forest area is a poor indicator of forest biodiversity status. For forest biodiversity to recover, conservation management needs to be informed by monitoring all threats to vertebrates, including those below the canopy.
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43

Albertazzi, Sergio, Elisa Monterastelli, Manuela Giovanetti, Emanuele Luigi Zenga, Simone Flaminio, Marta Galloni, Marino Quaranta, and Laura Bortolotti. "Biodiversity Evaluation: From Endorsed Indexes to Inclusion of a Pollinator Indicator." Diversity 13, no. 10 (September 29, 2021): 477. http://dx.doi.org/10.3390/d13100477.

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There is increasing interest in evaluating biodiversity to preserve ecosystem services. Researchers can sustain policymakers by providing tools, such as indexes and indicators, that need constant implementation to become accepted standards. Implementation may vary from re-evaluation of existing indicators to introduction of new ones based on emerging threats to biodiversity. With the aim of contributing to the compelling need to estimate and counterbalance pollinator loss, we screened existing bioindicators. We first selected indexes/indicators applied to agricultural contexts and concurrently endorsed by a regulatory agency. We then extended our analysis to indexes/indicators based on arthropod taxa and formally recognized at least by national bodies. Our procedure identified a combination of surveys of various animal taxa and remote landscape analyses (e.g., using a GIS and other cartographic tools). When the animals are arthropods, most indexes/indicators can only address confined environments (e.g., grasslands, riversides). Indicator strength was improved by the simultaneous inclusion of biotic and abiotic components. Pollinator sensitivity to changes at micro-habitat level is widely appreciated and may help distinguish agricultural practices. A biodiversity index based on pollinators, including a wide monitoring scheme supplemented by citizen science, is currently fostered at the European level. The results obtained using such an index may finally enable focusing of strategic funding. Our analysis will help to reach this goal.
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Ogurtsov, Alexander, Vasiliy Dmitriev, Alexander Egorov, and Polina Bakunovich. "Spatial analysis and integral assessment of factors of the potential dangers to the biodiversity of biogeocenoses in the catchment area of Beloye and Lippovskoye lakes (Kurgalsky peninsula, Russia)." InterCarto. InterGIS 27, no. 3 (2021): 335–45. http://dx.doi.org/10.35595/2414-9179-2021-3-27-335-345.

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In the context of maintaining a constant threat of biodiversity loss, it is urgent to solve the problem of improving and creating new methods for assessing the factors of biodiversity change. Due to the complexity and multidimensity of the task, the authors are invited to use the method of analyzing and synthesizing indicators with information deficit (ASPID method). As an example of using the method, this article presents the results of studies of potential risk factors for biodiversity loss in the catchment area of two adjacent lakes on the Kurgalsky Peninsula. As objects of the assessment chosen taxa biogeocenoses of the peninsula. In accordance with the procedure for estimating the ASPID-method for each taxon, a composite indicator was calculated. The composite indicator characterizes the level of the total risk of biodiversity loss. It is formed on the basis of a system of individual indicators and taking into account their weight. The system of individual indicators reflects the effect of anthropogenic and natural anthropogenic factors. Calculations of composite indicators have formed the basis for the compilation of thematic maps of the integral assessment of hazards. Thematic maps are compiled using geographic information systems (GIS). Assessment maps allow you to identify areas of the territory with a high and low degree of danger. The analysis of the maps revealed differences in the spatial distribution of estimates, which allows to identify areas of the lake catchment with a low and high degree of risk of biodiversity loss. In particular, it is noted that the main threat comes from anthropogenic factors, since the “strong” and “most severe” degree of danger is detected in 42% of biogeocenoses, and in the case of anthropogenic-natural factors only in 21%. The threat of anthropogenic-natural factors to the biodiversity of biogeocenoses is most pronounced on the western border of the catchment area. In the eastern part of the catchment area, the influence of anthropogenic-natural factors is less noticeable. Since the solution of the problem of biodiversity conservation affects the ecology of territories and in particular catchment areas, it can be useful in determining the ecological status and ecological well-being of water bodies and their catchment areas.
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Fay, Gavin, Jason S. Link, Scott I. Large, and Robert J. Gamble. "Management performance of ecological indicators in the Georges Bank finfish fishery." ICES Journal of Marine Science 72, no. 5 (December 19, 2014): 1285–96. http://dx.doi.org/10.1093/icesjms/fsu214.

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Abstract Successful implementation of Ecosystem-Based Fisheries Management (EBFM) requires appropriate action as informed by reference points in an ecosystem context. Thresholds in the response of ecological indicators to system drivers have been suggested as reference points for EBFM, though the management performance of these indicators and possible values for their reference points have not been widely evaluated. We used Management Strategy Evaluation to test the performance of control rules that used ecological indicators to adjust the advice from single-species stock assessments, using the Georges Bank finfish fishery as a case study. We compare the performance of control rules that used ecological indicators to that of single-species FMSY control rules when the system dynamics were governed by the same multispecies population model. Control rules that used indicator-based reference points were able to perform better against catch and biodiversity objectives than when harvests were based on single-species advice alone. Indicators and values for reference points associated with good performance varied depending on the management objective. We quantified tradeoffs between total catch, biodiversity, and interannual variability in catch, noting that it was possible in some instances to achieve higher than average biodiversity while maintaining high catches using indicator-based control rules. While improved performance was noted using ecological indicators, outcomes were variable, and the gains in performance obtained may be similar to alternative methods of implementing precaution in single-species fishery control rules.
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Asbeck, Thomas, Josef Großmann, Yoan Paillet, Nathalie Winiger, and Jürgen Bauhus. "The Use of Tree-Related Microhabitats as Forest Biodiversity Indicators and to Guide Integrated Forest Management." Current Forestry Reports 7, no. 1 (January 18, 2021): 59–68. http://dx.doi.org/10.1007/s40725-020-00132-5.

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Abstract Purpose of the Review The concept of tree-related microhabitats (TreMs) is an approach to assess and manage multi-taxon species richness in forest ecosystems. Owing to their provision of special habitat features, TreMs are of special interest as a surrogate biodiversity indicator. In particular, in retention forestry, TreMs have gained attention over the past decade as a selection criterion for retained structural elements such as habitat trees. This review seeks to (a) address the suitability of TreMs as biodiversity indicator in the context of retention forestry, (b) summarize drivers of TreM occurrence and the status quo of the implementation of TreM-based retention concepts in forest management, and (c) discuss current and future challenges to the use of TreMs as biodiversity indicator. Recent Findings The TreM concept originated in Europe where it is now increasingly implemented. Most studies of the quantity, quality, and diversity of TreMs are focused on tree species from this region, although it is increasingly applied in other contexts. In addition to tree species, tree dimensions and live status have been identified as the main drivers of TreM occurrence. One major remaining research challenge is to verify relationships between the occurrence and abundance of forest-dwelling species from different taxonomic groups and TreMs to improve the evidence basis of this concept and thus increase its integration in forest conservation approaches. Summary TreMs are not the “silver bullet” indicator to quantify biodiversity of forest dwelling species, but they provide an important tool for forest managers to guide the selection of habitat trees for the conservation of the associated biodiversity.
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Kyerematen, Rosina, Samuel Adu-Acheampong, Daniel Acquah-Lamptey, Roger Sigismund Anderson, Erasmus H. Owusu, and Jones Mantey. "Butterfly Diversity: An Indicator for Environmental Health within Tarkwa Gold Mine, Ghana." Environment and Natural Resources Research 8, no. 3 (July 23, 2018): 69. http://dx.doi.org/10.5539/enrr.v8n3p69.

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Many human societies, rely on proceeds from mining of metals and fossil fuels for income generation as well as resource supplies from biodiversity. However, these mining activities are in conflict with and threaten the sustainable utilisation and conservation of biodiversity. We used butterflies, a known bioindicator species as surrogates to measure the level of change in vegetation within Tarkwa Gold Mines (TGM) in Ghana. Butterfly assemblages were sampled within the concession and characterised in terms of diversity indices and vegetation type. Transect counts, aerial netting and charaxes trapping were employed to assess butterfly assemblages. Results showed that although there were high records of degraded forest and savanna indicator species, the fairly high presence of deep forested species also shows that some forested areas within the concession are still in good condition. Recommendations are made to maintain forest blocks to serve as refugia for butterflies and urge management to institute measures to restore old and abandoned mined sites. We also recommend policy makers to enact laws that will ensure that, mining organisations lay down plans for sustainable mine operations and biodiversity conservation before being granted licenses to operate in Ghana.
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Burton, P. J., A. C. Balisky, L. P. Coward, D. D. Kneeshaw, and S. G. Cumming. "The value of managing for biodiversity." Forestry Chronicle 68, no. 2 (April 1, 1992): 225–37. http://dx.doi.org/10.5558/tfc68225-2.

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The concept of biological diversity (biodiversity) is reviewed, with special attention to its measurement and natural trends. While generalizations regarding the necessity of biodiversity need to be interpreted with caution, it is argued that biodiversity should be protected in more ecosystem and landscape reserves, and that biodiversity is a reasonable management objective on timber lands as well. Maintaining biodiversity is important because we cannot always identify which individual species are critical to ecosystem sustainability, nor which species may be useful to mankind in future. Many wild species can provide useful natural products and genetic material, and can serve as ecological indicators. Diversity reduces pest and disease problems, and encourages recovery from disturbance. Uncertainty exists with regard to climate change and future socioeconomic values. It is therefore prudent to maximize flexibility by promoting a wide array of species and potential products. Suggestions are offered on how to promote biodiversity in multiple-use forests. Key words: biological diversity, climate change, environmental ethics, forest inventory, genetic conservation, integrated resource management, indicator species, landscape ecology, multiple-use, natural products, stability, uncertainty.
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Kerr, Jeremy T., Alissa Sugar, and Laurence Packer. "Indicator Taxa, Rapid Biodiversity Assessment, and Nestedness in an Endangered Ecosystem." Conservation Biology 14, no. 6 (December 18, 2000): 1726–34. http://dx.doi.org/10.1111/j.1523-1739.2000.99275.x.

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50

Huynen, MMTE, P. Martens, and RS De Groot. "Linkages between biodiversity loss and human health: a global indicator analysis." International Journal of Environmental Health Research 14, no. 1 (February 2004): 13–30. http://dx.doi.org/10.1080/09603120310001633895.

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