scholarly journals Uncertainty and the design of in-situ biodiversity-monitoring programs

2014 ◽  
Vol 8 ◽  
pp. 77-94 ◽  
Author(s):  
William Magnuson
Keyword(s):  
Biodiversity Monitoring ◽  
Monitoring Programs

scholarly journals Biodiversity Monitoring in Australia.

2014 ◽  
Vol 20 (4) ◽  
pp. 403
Author(s):  
Mark J Garkaklis
Keyword(s):  
Remote Sensing ◽  
Conservation Biology ◽  
The State ◽  
Senior Management ◽  
Ecological Community ◽  
Biodiversity Monitoring ◽  
Natural Heritage ◽  
Management Intervention ◽  
Monitoring Programs ◽  
Common Framework

EFFECTIVE biodiversity monitoring, that allows an evaluation of how well we manage Australia’s natural heritage, remains a frustration to many who have worked in conservation biology over the decades. Too many times colleagues have audibly groaned when presented with yet another new tool or pet interest, with an appropriate price tag, that has been paraded to senior management as a panacea to biodiversity monitoring. The hotchpotch of vertebrate, one-off botanical, one-off remote sensing, wetland, riparian ecosystem, Threatened and Priority Ecological Community, and species-focused monitoring programs represents the collective failure to provide consistent measure of the state of the Australian environment within a common framework. We could audit the effectiveness of many of these monitoring programs; if we could find the data. If we can find the data, too often it is difficult to understand what the objective of the management intervention was. Effective biodiversity monitoring programs are in the minority and this must not continue.

scholarly journals A Review of Approaches for Automated Habitat Mapping and their Potential Added Value for Biodiversity Monitoring Projects

2019 ◽  
Vol 12 (3) ◽  
pp. 53-69 ◽  
Author(s):  
Rob H.G. Jongman ◽  
Caspar A. Mücher ◽  
Robert G.H. Bunce ◽  
Mait Lang ◽  
Kalev Sepp
Keyword(s):  
Remote Sensing ◽  
Added Value ◽  
Biodiversity Monitoring ◽  
Sample Number ◽  
Automated Mapping ◽  
National Monitoring ◽  
Large Numbers ◽  
Reducing Costs ◽  
Remote Sensing Techniques

Abstract Habitats are important indicators of biodiversity in their own right, as well as being linked to species, hence their widespread use in reporting on nature conservation planning and policy. For reporting consistent mapping and monitoring habitat extent and change is important. Remote Sensing techniques are becoming an important tool for this. In this paper we describe four examples of methods of semi-automated mapping using Remote Sensing. Because the most effective way of improving the accuracy of the estimation of habitat area is by increasing the sample number, it is important to develop methods for reducing in situ surveys which are expensive. Remote Sensing has the major advantage of comprehensive coverage and the four examples illustrate the potential of extrapolation from semi-automated habitat classifications. The potential for using these methods at national scales is likely to be limited by the need for validation of the automated images and the subsequent calculation of error terms. Existing major national monitoring programs are described, which still use mainly traditional in situ methods. The selection of relatively small numbers of representative samples from environmental classifications to obtain regional estimates reduces the need for large numbers of in situ survey sites and is therefore discussed. The recent development of the use of drones to acquire detailed imagery to support in situ habitat surveys is also covered. Finally, practical problems linked to the methods described in the paper are considered, as in some cases these will override the theoretical benefits of a particular approach. It is concluded that automated methods can enhance existing monitoring systems and should be considered in any biodiversity monitoring system as they represent an opportunity for reducing costs, if integrated with an in situ program.

Monitoring Threatened Species and Ecological Communities

2018 ◽  
Keyword(s):  
Threatened Species ◽  
Conservation Status ◽  
Ecological Communities ◽  
Biodiversity Monitoring ◽  
Management Effectiveness ◽  
Policy Makers ◽  
Monitoring Programs ◽  
Current Monitoring ◽  
Monitoring Activity

Monitoring is integral to all aspects of policy and management for threatened biodiversity. It is fundamental to assessing the conservation status and trends of listed species and ecological communities. Monitoring data can be used to diagnose the causes of decline, to measure management effectiveness and to report on investment. It is also a valuable public engagement tool. Yet in Australia, monitoring threatened biodiversity is not always optimally managed. Monitoring Threatened Species and Ecological Communities aims to improve the standard of monitoring for Australia's threatened biodiversity. It gathers insights from some of the most experienced managers and scientists involved with monitoring programs for threatened species and ecological communities in Australia, and evaluates current monitoring programs, establishing a baseline against which the quality of future monitoring activity can be managed. Case studies provide examples of practical pathways to improve the quality of biodiversity monitoring, and guidelines to improve future programs are proposed. This book will benefit scientists, conservation managers, policy makers and those with an interest in threatened species monitoring and management. Joint recipient of the 2018 Whitley Certificate of Commendation for Conservation Zoology

scholarly journals Essential Biodiversity Variables: Integrating In-Situ Observations and Remote Sensing Through Modeling

2020 ◽  
pp. 485-501 ◽  
Author(s):  
Néstor Fernández ◽  
Simon Ferrier ◽  
Laetitia M. Navarro ◽  
Henrique M. Pereira
Keyword(s):  
Remote Sensing ◽  
Data Integration ◽  
Spatial Scales ◽  
Data Sets ◽  
Biodiversity Monitoring ◽  
Multiple Sources ◽  
Biodiversity Data ◽  
Essential Biodiversity Variables ◽  
Critical Components

AbstractEssential biodiversity variables (EBVs) are designed to support the detection and quantification of biodiversity change and to define priorities in biodiversity monitoring. Unlike most primary observations of biodiversity phenomena, EBV products should provide information readily available to produce policy-relevant biodiversity indicators, ideally at multiple spatial scales, from global to subnational. This information is typically complex to produce from a single set of data or type of observation, thus requiring approaches that integrate multiple sources of in situ and remote sensing (RS) data. Here we present an up-to-date EBV concept for biodiversity data integration and discuss the critical components of workflows for EBV production. We argue that open and reproducible workflows for data integration are critical to ensure traceability and reproducibility so that each EBV endures and can be updated as novel biodiversity models are adopted, new observation systems become available, and new data sets are incorporated. Fulfilling the EBV vision requires strengthening efforts to mobilize massive amounts of in situ biodiversity data that are not yet publicly available and taking full advantage of emerging RS technologies, novel biodiversity models, and informatics infrastructures, in alignment with the development of a globally coordinated system for biodiversity monitoring.

scholarly journals Optical Water Type Guided Approach to Estimate Optical Water Quality Parameters

2020 ◽  
Vol 12 (6) ◽  
pp. 931 ◽  
Author(s):  
Kristi Uudeberg ◽  
Age Aavaste ◽  
Kerttu-Liis Kõks ◽  
Ave Ansper ◽  
Mirjam Uusõue ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Water Type ◽  
Secchi Disk ◽  
Secchi Disk Depth ◽  
Chl A ◽  
Monitoring Programs

Currently, water monitoring programs are mainly based on in situ measurements; however, this approach is time-consuming, expensive, and may not reflect the status of the whole water body. The availability of Multispectral Imager (MSI) and Ocean and Land Colour Instrument (OLCI) free data with high spectral, spatial, and temporal resolution has increased the potential of adding remote sensing techniques into monitoring programs, leading to improvement of the quality of monitoring water. This study introduced an optical water type guided approach for boreal regions inland and coastal waters to estimate optical water quality parameters, such as the concentration of chlorophyll-a (Chl-a) and total suspended matter (TSM), the absorption coefficient of coloured dissolved organic matter at a wavelength of 442 nm (aCDOM(442)), and the Secchi disk depth, from hyperspectral, OLCI, and MSI reflectance data. This study was based on data from 51 Estonian and Finnish lakes and from the Baltic Sea coastal area, which altogether were used in 415 in situ measurement stations and covered a wide range of optical water quality parameters (Chl-a: 0.5–215.2 mg·m−3; TSM: 0.6–46.0 mg·L−1; aCDOM(442): 0.4–43.7 m−1; and Secchi disk depth: 0.2–12.2 m). For retrieving optical water quality parameters from reflectance spectra, we tested 132 empirical algorithms. The study results describe the best algorithm for each optical water type for each spectral range and for each optical water quality parameter. The correlation was high, from 0.87 up to 0.93, between the in situ measured optical water quality parameters and the parameters predicted by the optical water type guided approach.

Challenges and opportunities of remote sensing for monitoring biodiversity change

2021 ◽  
Author(s):  
Joris Timmermans ◽  
Daniel Kissling
Keyword(s):  
Remote Sensing ◽  
Community Composition ◽  
Species Traits ◽  
Individual Species ◽  
Ecosystem Structure ◽  
Biodiversity Monitoring ◽  
Biodiversity Indicators ◽  
Biodiversity Change ◽  
Spatio Temporal

<p>Biodiversity is rapidly declining and monitoring biodiversity change is thus of key importance to prevent the destabilization of ecosystems and their services. A key component of monitoring biodiversity change is the development of Essential Biodiversity Variables (EBVs) which facilitate the harmonization and standardization of raw data from disparate sources. In this context, consistent and adequate geospatial information needs to be available to ecologists and policymakers around the world, even for countries in which comprehensive in-situ biodiversity measurements cannot be taken on a regular basis. Satellite remote sensing (SRS) currently represents the only tool which allows to acquiree spatially contiguous and temporally replicated observations for monitoring biodiversity over continental or (near-)global spatial extents. Observations from SRS already provide a wealth of information on the distribution, structure and functioning of ecosystems, but user requirements of ecologists and policymakers have not been systematically quantified for allowing the development of roadmaps by SRS experts.</p><p>In response, we performed a top-down user requirement analysis combined with a bottom-up technical review to highlight (i) how currently available remote sensing products can contribute to biodiversity monitoring, and (ii) which immature SRS products could be prioritized for further development. We performed a systematic review of the Post2020 goals (for 2050) and biodiversity targets (for 2030) of the Convention on Biological Diversity (CBD) and their corresponding biodiversity indicators. Subsequently we evaluated SRS products according to relevance (to biodiversity indicators), (im)maturity, feasibility, and suitability for provisioning user-adequate spatio-temporal information. We found that currently existing CBD-relevant biodiversity indicators mainly use EBV-related information on ecosystem structure and distribution (e.g. available from remote sensing products of landcover and Leaf Area Index, LAI) or on species populations (predominantly acquired from in-situ biodiversity measurements because current SRS products are too limited in the spatio-temporal resolutions of their sensors). Moreover, only few biodiversity indicators derived from SRS currently focus on species traits or community composition EBVs, as both the identification of individual species and the quantification of species traits such as LAI and foliar nitrogen, phosphorus, kalium and chlorophyll content remain challenging. We outline how further advances in data-science techniques (e.g. merging SRS observations of high spectral and high spatial resolution) provide tremendous opportunities for advancing community composition and species-focused EBVs for global biodiversity monitoring.</p>

scholarly journals CONSIDERATIONS IN THE DESIGN OP AN OFFSHORE DATA COLLECTION PROGRAM

1980 ◽  
Vol 1 (17) ◽  
pp. 172
Author(s):  
Cortis Cooper ◽  
German Febres
Keyword(s):  
Data Collection ◽  
Delta Region ◽  
In Situ Data ◽  
Monitoring Programs ◽  
Orinoco Delta ◽  
Data Collection Program ◽  
Offshore Programs ◽  
Collection Program

In-situ data collection in the ocean is costly and unpredictable even when the program is relatively well planned and executed. Despite these inherent difficulties, designers of a data collection program will find little guidance in the literature to assist them in the planning and organizational stages. Some papers "have been published discussing particular aspects of a program such as instrumentation, and others have described some of the general experiences of various programs. However, there has been no attempt to conceptualize the process of design of an offshore data collection program and this is one of the purposes of the discussion which follows. The various steps involved in design are identified, ordered, and discussed in some detail. Specific examples are drawn from the authors' experiences with several offshore monitoring programs. The work presented is most applicable to the collection of oceanographic and meteorological (O/M) data since the authors' experience is essentially restricted to this particular type of data collection. However, it is suspected that a significant portion of the aspects considered would apply to offshore programs involving the collection of other types of data such as geotechnical. Many of the ideas presented originate from experience with two large 0/M programs conducted by Instituto Tecnoligico Venezolano del Petroleo (INTEVEP). One of the studies extended over the Orinoco Delta region of Venezuela with an area of roughly 150 x 150 kms. The program began in late 1977 and ended in the spring of 1979. O/M data were taken at nine stations in the region. Figure 1 shows the region and the location of the stations involved in the study. The second INTEVEP program was started in the summer of 1979 and covers the contiguous coastline of Venezuela, approximately 1200 x 100 kms. O/M data are being taken at nine stations during the three year life of the program. Figure 2 shows the coast of Venezuela and the station locations.

scholarly journals The Unmeasured ecological effect of mosquito control

2020 ◽  
Vol 6 (1) ◽  
pp. 71-76
Author(s):  
Edina Török ◽  
Axel Hochkirch ◽  
Zoltán Soltész ◽  
Teja Tscharntke ◽  
Péter Batáry
Keyword(s):  
Biological Control ◽  
Mosquito Control ◽  
Ecological Effect ◽  
Insect Diversity ◽  
Biodiversity Monitoring ◽  
Control Programs ◽  
Monitoring Programs ◽  
Diversity Loss

Intensive mosquito control programs are likely to contribute to insect diversity loss, but these effects are both underestimated and understudied. We recommend to conduct direct biodiversity monitoring programs to understand the effects of both chemical and biological control.

Sign in / Sign up

Export Citation Format

Share Document