登录查看更多内容

What are the key considerations for mangrove environmental systems analysis and modeling?

由人工智能和领英社区提供技术支持

Mangroves are coastal ecosystems that provide various ecological and socio-economic benefits, such as carbon sequestration, coastal protection, biodiversity conservation, and livelihood support. However, they are also threatened by climate change, land use change, pollution, and overexploitation. To understand and manage these complex and dynamic systems, environmental systems analysis and modeling (ESAM) is a useful tool that can integrate data, knowledge, and scenarios from multiple sources and scales. In this article, we will discuss some of the key considerations for mangrove ESAM, such as data availability and quality, system boundaries and scales, model selection and validation, and stakeholder engagement and communication.

此文章中的业界达人

由社区从 8 条内容中精选。了解更多

1 Data availability and quality

One of the main challenges for mangrove ESAM is the scarcity and variability of data on mangrove structure, function, and services. Data gaps may exist due to limited monitoring, remote locations, heterogeneous conditions, and methodological differences. To address this issue, mangrove ESAM should use multiple data sources, such as remote sensing, field surveys, literature reviews, and expert opinions, and apply data quality assessment and uncertainty analysis to ensure reliability and credibility of the results. Data sharing and collaboration among researchers, managers, and communities can also facilitate data availability and quality.

添加您的观点

Catherine Jadot, PhD

Blue Economy | LinkedIn Top Voice | Biodiversity and Climate Change Expert | Nature-based Solutions Practitioner | Public Speaker
举报内容
In my experience, addressing the complexities of mangrove environmental systems analysis and modeling begins with prioritizing data availability and quality. The scarcity and variability of data on mangrove structure, function, and services pose challenges. To overcome this, utilize diverse sources like remote sensing, field surveys, literature reviews, and expert opinions. Rigorous data quality assessment and uncertainty analysis are crucial for result reliability. Promoting collaboration and data sharing among researchers, managers, and communities is key to enhancing overall data availability and quality in mangrove ESAM.

已翻译

赞
Jeffrey D Jenkins

Fish Habitat Forever, Aquatic Habitat (Patent), Jenkins & Son Limited/501c3
举报内容
You don't want my answer..... Studying and analyzing should be kept to a minimum and fieldwork holds all your answers. Theirs too much time wasted inside, go after your answers on site. I brought the state of the art to the market without lip service. When I choose to launch it, it will go nuts as I create oxygen at each set, then the eco-system explodes! We have to save our coral reefs hands on, not in a lab. Too many variables on site, labs there are few variables. Get outside guys, watch it work or not work. WE HAVE A LOT OF WORK TO DO!! China has destroyed over 80% of their Coral Reefs overfishing. Their diet is mostly seafood, what are we gonna do for 1.6 billion people, almost 1/4 of world population??? GET OUT THERE!!!!

已翻译

赞
Mircea Preoteasa

Vegetation Resource Inventory Specialist at H.S. Wood Arteffects Inc
举报内容
I hope system analysis means ecosystem analysis. Any data collection, field based or remote is expensive so first you should ask what are the final goals for the analysis and modelling. Ecosystem are infinitely complex, but sometimes with a small number of attributes people can make a pretty good idea about the described ecosystem. In forestry we use species composition, age, height, diameters, basal area, stems per hectare, history of disturbance to describe the forest layer; aspect, elevation, soil type and depth, moisture regime, nutrient regime, slope, percent of parental materials, texture, structure- for soils, average and extreme temperatures, length of vegetation season, precipitations...for climate....These are examples.

已翻译

赞
Lawrence vK-B

Chief Innovator - Svelte, Knowledge Horizon and Q2i. Transactional platforms; blockchain agnostic, payments enabled
举报内容
What bit about protecting them do you not get? ................................................................................

已翻译

赞

2 System boundaries and scales

Another important consideration for mangrove ESAM is the definition of system boundaries and scales, which determine the scope and resolution of the analysis and modeling. Mangroves are influenced by various biophysical and socio-economic factors, such as hydrology, geomorphology, climate, land use, governance, and human activities, that operate at different spatial and temporal scales. Therefore, mangrove ESAM should adopt a systems approach that can capture the interactions and feedbacks among these factors, and select appropriate spatial and temporal scales that can reflect the objectives and questions of the analysis and modeling. For example, a global or regional scale may be suitable for assessing the impacts of climate change on mangrove distribution and carbon stocks, while a local or site-specific scale may be more relevant for evaluating the effects of management interventions on mangrove restoration and livelihoods.

添加您的观点

Marco Caselli

CMO at Green Future Project | ESG | Nature Based Solutions | Biodiversity | Climate Tech
举报内容
One key factor not mentioned here is for sure Biodiversity. When analyzing and modeling, considerations must include mapping species distribution, understanding biotic interactions, and assessing the impact of human activities (Urbanization, aquaculture, and pollution can impact the diversity of species in mangrove ecosystems. Modeling should predict the consequences of these activities). Functional roles of different species, resilience to climate change (e.g. how changes in temperature, sea level, and precipitation might affect the different species), and restoration strategies should be factored in. The intricate relationships between species contribute to the resilience and sustainability of these vital coastal habitats.

已翻译

赞

3 Model selection and validation

A third key consideration for mangrove ESAM is the selection and validation of models that can represent the structure and behavior of the mangrove system. Models are simplified representations of reality that can help understand and predict the dynamics and outcomes of the system under different scenarios and assumptions. However, models are also subject to limitations and uncertainties, such as data availability, parameter estimation, model structure, and scenario design. Therefore, mangrove ESAM should choose models that are suitable for the purpose and context of the analysis and modeling, and apply model validation techniques, such as sensitivity analysis, calibration, verification, and comparison, to test and improve the performance and accuracy of the models.

添加您的观点

Lawrence vK-B

Chief Innovator - Svelte, Knowledge Horizon and Q2i. Transactional platforms; blockchain agnostic, payments enabled
举报内容
What bit about protecting them do you not get? ........................................................... Overanalysis......

已翻译

赞

4 Stakeholder engagement and communication

A final key consideration for mangrove ESAM is the engagement and communication of stakeholders, such as policy makers, managers, practitioners, researchers, and communities, who are involved or affected by the mangrove system. Stakeholders can provide valuable inputs and feedbacks on the data, knowledge, assumptions, scenarios, and results of the analysis and modeling, and enhance the relevance and legitimacy of the ESAM. Moreover, stakeholders can also benefit from the ESAM by learning and exchanging information, perspectives, and experiences on the mangrove system, and by using the ESAM results to support decision making and action taking for mangrove conservation and management. Therefore, mangrove ESAM should adopt participatory and transparent methods and tools for stakeholder engagement and communication, such as workshops, surveys, interviews, visualization, and dissemination.

添加您的观点

David H.

Chairman, CEO and CTO at IndigiBlock llc and CarbonDivest.org. Empowering and Helping Indigenous Communities in the conservation of our forests and biodiversity through Carbon Credits, Blockchain and AI.
举报内容
We have found that working with the communities that live in any given Mangrove project area is critical for the projects success. Whether a reforestation Mangrove project,conservation project or combination of both. Any Mangrove project usually has communities that live nearby since most often shrimp farming or fish farming activities have occurred in the past or are currently occurring in that area. Leaving out the communities in these areas is a very big mistake since the knowledge that they usually have of the project area what is occurring daily in that area is Mission critical for any data obtained and its analysis. Indigenous communities often live in Mangrove areas and have generations of wisdom to help in a mangrove project success

已翻译

赞

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Lawrence vK-B

Chief Innovator - Svelte, Knowledge Horizon and Q2i. Transactional platforms; blockchain agnostic, payments enabled
举报内容
Add common sense. Do not look to generator fees from pointless consulting What bit about protecting them do you not get? ................................................................................

已翻译

赞

Environmental Design

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the key considerations for mangrove environmental systems analysis and modeling?

1

2

3

4

5

1 Data availability and quality

2 System boundaries and scales

3 Model selection and validation

4 Stakeholder engagement and communication

5 Here’s what else to consider

Environmental Design

给文章评分

感谢您的反馈

更多Environmental Design相关文章

更多相关阅读内容

What are the key considerations for mangrove environmental systems analysis and modeling?

1

2

3

4

5

1 Data availability and quality

2 System boundaries and scales

3 Model selection and validation

4 Stakeholder engagement and communication

5 Here’s what else to consider

Environmental Design

给文章评分

感谢您的反馈

查看其他技能