On the importance of taking into account agricultural practices when defining conservation priorities for regional planning

Hervé, Mathilde; Albert, Cécile H.; Bondeau, Alberte

doi:10.1016/j.jnc.2016.08.001

Cited by 9 publications

(3 citation statements)

References 42 publications

(63 reference statements)

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“…changes occurring within a single land use/cover class) and their intensity (e.g. irrigation, fire management) (Newbold et al 2016;Hervé et al 2016). Third, some land use/cover classes that represent relatively small fraction of land surfaces (e.g.…”

Section: Land Use Change Projections Used To Explore Biodiversity Futures Differ With Spatial Extentmentioning

confidence: 99%

What ecologists should know before using land use/cover change projections for biodiversity and ecosystem service assessments

Albert¹,

Hervé²,

Fader

et al. 2020

Reg Environ Change

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Scenarios of biodiversity and ecosystem services (BES) are key for decision-makers to understand the consequences of future environmental change on BES. Though a major driver of terrestrial biodiversity loss, land use and land cover changes (LUCC) have been largely overlooked in previous BES assessments. But ecologists lack practical guidance for the general use of LUCC projections. We review the practices in use in LUCC-driven BES assessments and summarize the questions ecologists should address before using LUCC projections. LUCC-driven BES scenarios rely on a substantial set of different socioeconomic storylines (> 200 for 166 papers). Studies explore different futures, but generally concentrate on projections obtained from a single LUCC model. The rationale regarding time horizon, spatial resolution, or the set of storylines used is rarely made explicit. This huge heterogeneity and low transparency regarding the what, why, and how of using LUCC projections for the study of BES futures could discourage researchers from engaging in the design of such biodiversity scenarios. Our results call on those using LUCC projections to more systematically report on the choices they make when designing LUCC-based BES scenarios (e.g. time horizon, spatial and thematic resolutions, scope of contrasted futures). Beyond the improvement of reliability, reproducibility, and comparability of these scenarios, this could also greatly benefit others wanting to use the same LUCC projections, and help land use modellers better meet the needs of their intended audiences. The uncertainties in LUCC-driven BES futures should also be explored more comprehensively, including different socioeconomic storylines and different LUCC models, as recommended in studies dealing with climate-driven BES futures.

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Section: Land Use Change Projections Used To Explore Biodiversity Futures Differ With Spatial Extentmentioning

confidence: 99%

What ecologists should know before using land use/cover change projections for biodiversity and ecosystem service assessments

Albert¹,

Hervé²,

Fader

et al. 2020

Reg Environ Change

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“…Ефективна діяльність підприємства не можлива без оцінки взаємозв'язків між основними показниками управління процесами та чинниками виробничо-господарської діяльності, а також без виявлення закономірностей, які відбуваються як в середині організації, так і в зовнішньому середовищі [1,2]. Для моделювання динаміки розвитку підприємства, обґрунтування управління його спеціалізацією як одного з основних факторів підвищення конкурентоспроможності за рахунок інтенсифікації виробництва [3], необхідно виділити вплив чинників, що позитивно або негативно впливають на кінцевий результат -ефективність процесів управління [4]. Така модель повинна надавати можливість при обмеженому обсягу даних динаміки реальних підприємств окремо виділяти вплив чинників.…”

Section: вступunclassified

Simulation of development dynamics for management improvement of enterprise specialization

Власенко¹,

Власовець²

2016

TAPR

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МОДЕРНИЗАцИЯ МЕХАНИЗМА УПРАВЛЕНИЯ ФИНАНСОВыМ ПОТЕНцИАЛОМ АГРОФОРМИРОВАНИй Обобщены теоретические подходы к пониманию сущности экономического механизма управления финансовым потенциалом. Обоснованы теоретические, методические и организационно-экономические аспекты его трансформации в контексте повышения уровня финансовой конкурентоспособности агроформирований и обеспечения позитивной динамики их экономического развития. Аргументировано авторскую позицию относительно интерпретации содержания экономического механизма управления финансовым потенциалом. Ключевые слова: агроформирование, экономический механизм, финансовый потенциал, финансовые ресурсы, финансовая конкурентоспособность, экономическое развитие.

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“…It is not possible to determine to which extent the strategies developed to stem biodiversity decline are flawed or sound, or whether they are implemented at too small a scale or with inadequate resources. If important insights from decision‐science are neglected during planning, the risk of failure and the possibility of perverse or unintended consequences increases (Bode et al, 2015; Devillers et al, 2015; Game et al, 2013; Hervé et al, 2016; Renwick et al, 2015). Existing evidence across multiple disciplines including medicine and public policy including environmental policy shows that structured processes based on decision science lead to a better understanding of the problem at hand, sound evaluation of available options, and the trade‐offs between them (Arvai et al, 2001; Bekker et al, 2003; Herek et al, 1987; Schafer & Crichlow, 2002).…”

Section: Introductionmentioning

confidence: 99%

10 years of decision‐making for biodiversity conservation actions: A systematic literature review

Beher,

Treml,

Wintle

2024

Conservat Sci and Prac

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Decision science emphasizes necessary elements required for robust decision‐making. By incorporating decision science principles, frameworks, and tools, it has been demonstrated that decision‐makers can increase the chances of achieving conservation aims. Setting measurable objectives, clearly documenting assumptions about the impact of available actions on a specific threat or problem, explicitly considering constraints, exploring and characterizing uncertainty, and structured deliberation on trade‐offs have been identified as key elements of successful decision‐making. We quantify the extent to which these five elements were utilized in published examples of decision making in conservation in both academic and conservation practice between 2009 and 2018. We found that less than 50% of identified examples included all five elements, with differences in the degree of decision science applied across five commonly used decision support approaches: adaptive management (AM), systematic conservation planning (SCP), structured decision making (SDM), multi‐criteria decision analysis, and cost‐effectiveness analysis. Example applications that utilized the SDM framework were limited in numbers but used on average more than 50% of the five key elements we considered. Although SCP and AM constituted the majority of examples, they were more prevalent in academic studies rather than management applications. SCP and AM examples were widespread in protected area planning, threat abatement, and restoration. Strong geographic bias exists in documented conservation activities that deploy all five decision science elements.

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On the importance of taking into account agricultural practices when defining conservation priorities for regional planning

Cited by 9 publications

References 42 publications

What ecologists should know before using land use/cover change projections for biodiversity and ecosystem service assessments

What ecologists should know before using land use/cover change projections for biodiversity and ecosystem service assessments

Simulation of development dynamics for management improvement of enterprise specialization

10 years of decision‐making for biodiversity conservation actions: A systematic literature review

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