Quels sont les défis du suivi de la conservation de la biodiversité dans un contexte de changement climatique ?

Organizations don't know what they don't know without building the baseline database. Understanding what speciies are in the ecosystem, what contaimians are in the air, water and soil, then to outline the interactions between plants, animals, humans and the soil. Many of the interactive linkages are guesses but important to find linkages first. A negative is for leaders or data managers to accept cause/effect linkages because of their biases. However this brainstorming is vital to understand how changes can mitigate any harm or to minimize contaminates. Data is just data until an operational leader can create mitigation options to support decision making for resources (time, money, people).

Monitoring biodiversity conservation in a changing climate presents a myriad of challenges that span both temporal and spatial scales. As our climate continues to evolve, species distributions, population dynamics, and ecosystem functions are being altered in complex ways, necessitating comprehensive and adaptive monitoring efforts.

Data quaility is dependent upon having an interdisciplinary team who can interpret, improve, and analyze specific data groups (air, biology, soil contaiminates, GW flow, NEPA policy experts, etc. The output or the "so what" of a set of data results is similar to an environmental assessment report, which requires a group of experts to provide their analysis in a thoughtful manner that supports the overall objective or endstate of the data report/Assessment. A data report, like an EIS, requries a "project manager" to drive the process, keep tasks and personnel on the timeline, herd the cats/experts, and formulate a common narrative that a decision maker (congress/non-engineers) can understand.

Addressing these challenges requires a coordinated and interdisciplinary approach to biodiversity monitoring. Integration of diverse data sources, including field observations, remote sensing, and citizen science initiatives, can provide a more comprehensive understanding of biodiversity dynamics in a changing climate. Furthermore, collaboration between scientists, policymakers, and local communities is essential to develop adaptive management strategies that safeguard biodiversity in the face of climate change.

Creating a simulation or an assumed theoretical enstate 5 years or 20 years out is needed to showcase how the ecosystem changes through that timeframe, with actions, withou actions, or with a set of assumed factor changes (water quality, CO2 levels, etc). Many critisize the enstate as unproven, or unrealistic. It really does not matter; It is all fake. The goal of a simulation or an assumed endstate of an ecosystem 20 years is to identify interations, ecosystem changes, and other factors we would not observe in the current state. There is an art to create accurate or realistic endstates in order to develop workable, feasible, and acceptable options with "evidence" that supports a decision maker to make choices.

Inclusion and the role of local communities. Local communities play a critical role in ensuring that biodiversity is protected, and it’s in its pristine state This is the case because they are the primary dependents on biodiversity, and they are interest in ensuring that biodiversity is protected, is optimal for them with this in mind, it is critical that local communities are part of their monitoring and conservation of biodiversity they bring on board. They are local knowledge, their expertise and their long-standing interest in ensuring that biodiversity is protected to bear, and this can result in the playing this critical rule well, and they be motivated to ensure that diversity is monitored and protected .

Furthermore, the dynamic nature of climate change introduces uncertainties into biodiversity monitoring. Predicting future climate scenarios and their associated impacts on species and ecosystems requires sophisticated modeling techniques, but these models are subject to inherent uncertainties due to factors such as greenhouse gas emissions trajectories and feedback mechanisms within the Earth system.