Understanding zero deforestation and the High Carbon Stock Approach in a highly forested tropical country

Lyons‐White, Joss; Yobo, Christian Mikolo; Ewers, Robert M.; Knight, Andrew T.

doi:10.1016/j.landusepol.2021.105770

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…To demonstrate the current utility of the SEED index, we illustrate emergent properties of biocomplexity for Gabon. Gabon is a global leader in the exploration of financial and policy mechanisms that incentivize sustainable forest management and nature conservation 66 . Our analysis shows that urban/built-up areas score lowest overall, followed by grasslands and savannas, which both exist mostly in either a degraded state (i.e., with a peak at low SEED index) or a relatively intact state (Figure 4.d).…”

Section: Illustration Of the Seed Biocomplexity Frameworkmentioning

confidence: 99%

Assessing the multidimensional complexity of biodiversity using a globally standardized approach

Fournier de Lauriere,

McElderry,

Brettell

et al. 2023

Preprint

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Quantifying biodiversity across the globe is critical for transparent reporting and assessment under the Kunming-Montreal Global Biodiversity Framework. Understanding the full complexity of biodiversity requires consideration of the variation of life across genetic, species and ecosystem levels. Achieving this in a globally-standardized way remains a key international challenge for biodiversity monitoring efforts. Here, we present the Sustainable Ecology and Economic Development (SEED) framework, which consolidates multiple dimensions of biodiversity into a single measure of biocomplexity as a holistic estimate of the current state of nature at a given location. The SEED framework continuously integrates state-of-the-art datasets and maps of the biological variation in plants, microbes, animals, and ecosystems to estimate the local biocomplexity across the planet relative to a comparable, minimally-disturbed ‘reference’ ecosystem. The SEED framework allows an assessment of ecological health in response to positive and negative human impacts, and informs decision makers who strive to improve the global state of nature.

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Section: Illustration Of the Seed Biocomplexity Frameworkmentioning

confidence: 99%

Assessing the multidimensional complexity of biodiversity using a globally standardized approach

Fournier de Lauriere,

McElderry,

Brettell

et al. 2023

Preprint

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“…Deforestation and conversion of forested land to other land use types such as agricultural and industrial land are the greatest threats to global forest resources [15], and forest destruction (especially of tropical rainforests) has become the second largest source of increased atmospheric CO2 emissions after fossil fuel combustion. [16]…”

Section: Reducing the Rate Of Deforestationmentioning

confidence: 99%

Forest management schemes based on carbon sequestration models

Liu¹,

Ma²,

Ma³

et al. 2022

HSET

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This research requires the carbon sequestration model to determine the capacity of the forest and its products to sequester carbon and then to choose the most effective forest management plan in terms of sequestering CO2.we need to create a carbon sequestration model to assess how much trees and their products can absorb carbon dioxide. We compared how effective each forest management plan is at sequestering CO2 after developing a dynamic model for accounting for physical quantities of carbon sequestered and oxygen released by forests, analyzing forest resource flows and stocks and determining the willingness to pay for carbon sequestration and oxygen release by forests using a benefit transfer approach.we selected Chinese forestry as a representative to give the results of a study on selective logging to promote carbon sequestration in temperate coniferous and mixed broadleaf forests in China at reasonable time intervals.

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Exploring Perspectives on Agroecological Transition in Scotland with Critical Systems Heuristics

Hutcheson,

Morton,

Blair

2023

Syst Pract Action Res

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Critical systems heuristics (CSH) is a framework that facilitates reflective practice in exploring and solving complex management problems. Several applications have demonstrated the utility of CSH for addressing problems concerning the environment and sustainability. As such, we apply CSH to explore perspectives on agroecological transition in Scotland. In interviews with 10 farmers, agricultural professionals, and researchers, we demonstrate the utility of boundary critique as a practice for unpacking the judgements that underpin perspectives on Scottish farming. Moreover, we derive a series of practical insights and recommendations to progress agroecological transition in Scotland, including: support for a greater diversity of farming systems; action across the entire food system to avoid ‘lock-ins’; improved tools to measure farming outcomes; and nuanced and precise conversations regarding the nature and purpose of agroecological farming. We hope that our accessible and transparent approach might encourage the uptake of CSH research among systems researchers and practitioners.

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Understanding zero deforestation and the High Carbon Stock Approach in a highly forested tropical country

Cited by 7 publications

References 33 publications

Assessing the multidimensional complexity of biodiversity using a globally standardized approach

Assessing the multidimensional complexity of biodiversity using a globally standardized approach

Forest management schemes based on carbon sequestration models

Exploring Perspectives on Agroecological Transition in Scotland with Critical Systems Heuristics

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