A workflow to integrate ecological monitoring data from different sources

2021 ◽  
pp. 101543
Author(s):  
Jérémy Wicquart ◽  
Mishal Gudka ◽  
David Obura ◽  
Murray Logan ◽  
Francis Staub ◽  
...  
Keyword(s):  
Ecological Monitoring ◽  
Monitoring Data ◽  
Different Sources

scholarly journals Simulated Fishing to Untangle Catchability and Availability in Fish Abundance Monitoring

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Vanessa Tobias ◽  
Keyword(s):  
San Francisco ◽  
Water Clarity ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Delta Smelt ◽  
Individual Based Simulation ◽  
The Relationship ◽  
True Population

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are the result of changing water clarity affecting catchability.

scholarly journals Simulated Fishing to Untangle Catchability and Availability in Fish Abundance Monitoring

2021 ◽  
Author(s):  
Vanessa Tobias
Keyword(s):  
San Francisco ◽  
Water Clarity ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Delta Smelt ◽  
Individual Based Simulation ◽  
The Relationship ◽  
True Population

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear that is used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well-monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are due to an effect of changing water clarity on catchability.

scholarly journals Integrating ecological monitoring and local ecological knowledge to evaluate conservation outcomes

2021 ◽  
Author(s):  
Michelle-María Early-Capistrán ◽  
Elena Solana-Arellano ◽  
F. Alberto Abreu-Grobois ◽  
Gerardo Garibay-Melo ◽  
Jeffrey A. Seminoff ◽  
...  
Keyword(s):  
Gulf Of California ◽  
Local Ecological Knowledge ◽  
Chelonia Mydas ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Ecological Knowledge ◽  
Population Declines ◽  
Conservation Actions ◽  
Ecological Science

Successful conservation of long-lived species requires reliable understanding of long-term trends and historical baselines. Using a green turtle (Chelonia mydas) foraging aggregation in the northern Gulf of California, Mexico as case study, we integrated scientific monitoring data with historic catch rate reconstructions derived from Local Ecological Knowledge (LEK). Models fit to LEK and monitoring data indicate that turtle abundance is increasing, but only after ~40 years of safeguarding the species' nesting and foraging habitats in Mexico. However, as population declines occurred 75% faster than increases, and current abundance is at ~60% of historical baseline levels, indicating the need for sustained, long-term conservation actions. This study demonstrates the potential of linking LEK and ecological science to provide critical information for conservation, by establishing reference baselines and gauging population status, while promoting equitable and sustainable futures for local communities.

scholarly journals Prediction of Ecosystem Service Function of Grain for Green Project Based on Ensemble Learning

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 537
Author(s):  
Huijie Li ◽  
Xiang Niu ◽  
Bing Wang
Keyword(s):  
Economic Development ◽  
Ensemble Learning ◽  
Water Conservation ◽  
Ecological Monitoring ◽  
Learning System ◽  
Monitoring Data ◽  
Grain For Green ◽  
The Future ◽  
Grain For Green Project ◽  
Coordination Degree

The Grain for Green Project (GGP) was implemented over 20 years ago as one of six major forestry projects in China, and its scope of implementation is still expanding. However, it is still unclear how many ecosystem services (ESs) the project will produce in the future. The GGP’s large-scale ecological monitoring officially started in 2015 and there is a lack of early monitoring data, making it challenging to predict the future ecological benefits. Therefore, this paper proposes a method to predict future ESs by using ecological monitoring data. First, a new ensemble learning system, auto-XGBoost-ET-DT, is developed based on ensemble learning theory. Using the GGP’s known ESs in 2015, 2017, and 2019, the missing ESs of the past decade have been evaluated via reverse regression. Data from 2020 to 2022 within a convolution neural network and the coupling coordination degree model have been used to analyze the coupling between the prediction results and economic development. The results show that the growth distributions of ESs in three years were as follows: soil consolidation, 3.70–6.34%; forest nutrient retention, 2.72–.71%; water conservation, 2.52–6.09%; carbon fixation and oxygen release, 3.00–4.64%; and dust retention, 3.82–5.75%. The coupling coordination degree of the ESs and economic development has been improved in 97% of counties in 2020 compared with 2019. The results verify a feasible ES prediction method and provide a basis for the progressive implementation of the GGP.

scholarly journals Simulated Fishing to Untangle Catchability and Availability in Fish Abundance Monitoring

2021 ◽  
Author(s):  
Vanessa Tobias
Keyword(s):  
San Francisco ◽  
Water Clarity ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Delta Smelt ◽  
Individual Based Simulation ◽  
The Relationship ◽  
True Population

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear that is used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well-monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are due to an effect of changing water clarity on catchability.

scholarly journals Adaptive management plans rooted in quantitative ecological predictions of ecosystem processes: putting monitoring data to practical use

2020 ◽  
Author(s):  
Christian Damgaard
Keyword(s):  
Adaptive Management ◽  
Structural Equation ◽  
Management Practice ◽  
Conservation Status ◽  
Ecological Monitoring ◽  
Equation Model ◽  
Monitoring Data ◽  
Management Scenarios ◽  
Model Predictions ◽  
Management Plans

AbstractIt is demonstrated how a hierarchical structural equation model that is fitted to temporal ecological monitoring data from a number of sites may be used to generate local ecological predictions and how these local ecological predictions may form the basis of adaptive management plans. Local ecological predictions will be made for the cover of cross-leaved heath on Danish wet heathlands, which is one of the indicators that determine the conservation status of wet heathlands under different management scenarios. Based on a realistic example, the model predictions concludes that grazing by domestic herbivores on wet heathlands with a relatively low cover cross-leaved heath cannot be recommended as the only management practice. Generally, it is recommended to use ecological monitoring data to generate quantitative and credible local adaptive management plans where the uncertainty is taken into account.

scholarly journals Simulated Fishing to Untangle Catchability and Availability in Fish Abundance Monitoring

2020 ◽  
Author(s):  
Vanessa Tobias
Keyword(s):  
San Francisco ◽  
Water Clarity ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Delta Smelt ◽  
Individual Based Simulation ◽  
The Relationship ◽  
True Population

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear that is used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well-monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are due to an effect of changing water clarity on catchability.

scholarly journals Conceptual Framework of Ecological Monitoring

2020 ◽  
Author(s):  
Andrii Verstiak
Keyword(s):  
Sustainable Development ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Economic Systems ◽  
Resource Potential ◽  
Environmental Monitoring System ◽  
Ground System ◽  
Economic Interaction ◽  
And Storage ◽  
Monitoring Information

The complexity and versatility in problems of ecological and economic interaction and sustainable development require the construction of modern systems of ecological and economic monitoring in order to solve socio-economic problems and preserve natural resource potential with full consideration of environmental and economic factors. Environmental and economic monitoring data is crucial for assessing ecosystems and ensuring the principles of sustainable development. The paper is devoted to the framework of the system of ecological and economic monitoring. It is revealed that nowadays there is a problem of lack of complex and standardized monitoring data that can be used in studies of ecological and economic systems. The availability of environmental and economic monitoring information remains rather limited. It is proposed that the "standard" existing monitoring should be supplemented by the so-called remote monitoring, i.e. "Space-Sky-Ground" system. Complex and comprehensive system of environmental and economic monitoring should contain all indicators at the national, regional and local levels. The framework ensures the integration of information resources in environmental monitoring system, the creation and operation of a single automated subsystem for the collection, processing, analysis and storage of data. The framework takes into account the interests of stakeholders and can be an effective tool for developing appropriate state environmental policy.

scholarly journals Adaptive management plans rooted in quantitative ecological predictions of ecosystem processes: putting monitoring data to practical use

2021 ◽  
pp. 1-6
Author(s):  
Christian Damgaard
Keyword(s):  
Adaptive Management ◽  
Structural Equation ◽  
Management Practice ◽  
Conservation Status ◽  
Ecological Monitoring ◽  
Equation Model ◽  
Monitoring Data ◽  
Management Scenarios ◽  
Natural Habitats ◽  
Management Plans

Summary The adoption of adaptive management plans has been advocated in order to ensure the most effective management of natural habitats. Here, it is demonstrated how a hierarchical structural equation model that is fitted to temporal ecological monitoring data from a number of sites may be used to generate quantitative local ecological predictions and how these predictions may form the basis of adaptive management plans. Local ecological predictions will be made for the cover of the dwarf shrub cross-leaved heath (Erica tetralix) on Danish wet heathlands, which is an indicator of the conservation status of wet heathlands under different management scenarios. Based on a realistic example, the model predictions conclude that grazing by livestock on wet heathlands with a relatively low cover of cross-leaved heath cannot be recommended as the only management practice. Generally, ecological monitoring data may be used to generate quantitative and credible local adaptive management plans where uncertainty is taken into account.

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