How Are Feedbacks Represented in Land Models?

Chen, Yang; Bakker, Martha; Ligtenberg, A.; Bregt, A.K.

doi:10.3390/land5030029

Cited by 10 publications

(11 citation statements)

References 91 publications

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“…For example, a case study may consider only a subset of influences on land cover or land use, while the conceptual model provides a context for following and assessing additional possible influences and feedbacks [56].…”

Section: Discussionmentioning

confidence: 99%

A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System

Aspinall

Staiano

2017

Land

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This paper presents a conceptual model of land as a coupled human-environment system. Land use and land cover are incorporated as elements of the human and environment system respectively. Drivers and associated processes that influence land use, land cover, and land system dynamics are incorporated within a set of sub-systems. The model includes consideration of driving sub-systems as a set of capital funds and flows, and how these are influenced by linkages between processes in the human (socio-economic) and environment systems and sub-systems. The model is consistent with existing models of the biophysical earth system used by the land change, earth system sciences, and socio-ecological systems communities. The purposes of the model are to provide (i) a holistic framework within which descriptions, models and analyses that focus on various components of land can be placed to describe and explain land systems and land system changes; and (ii) a guide for the development of more fully integrated and interdisciplinary understanding, analysis and study of land use and land cover dynamics, with explicit focus on relationships between human and natural systems.

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Section: Discussionmentioning

confidence: 99%

A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System

Aspinall

Staiano

2017

Land

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“…etc at various spatial scales [112,124,125], increasingly employing CA principles to capture nonlinearities that arise from landscape heterogeneity, connectivity, spatial flows, and cross-scale feedbacks [126][127][128][129]. For ESLA, models that track heterogeneity of environmental resources at spatial resolutions commensurate with SSNRD households' differential access to them are most appropriate.…”

Section: The Maa-speaking Pastoralists Of the Laikipia Plateau In Normentioning

confidence: 99%

Advancing the integration of ecosystem services and livelihood adaptation

King

Nelson

McGreevy

2019

Environ. Res. Lett.

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Around the world today, the magnitude and rates of environmental, social, and economic change are undermining the sustainability of many rural societies that rely directly on natural resources for their livelihoods. Sustainable development efforts seek to promote livelihood adaptations that enhance food security and reduce social-ecological vulnerability, but these efforts are hampered by the difficulty of understanding the complexity and dynamism of rural livelihood systems. Disparate research avenues are strengthening our ability to grapple with complexity. But we are only just beginning to find ways to simultaneously account for problematic complexities, including multiscalar feedbacks in the ecosystems that that support livelihoods, the heterogeneous benefits garnered by different segments of society, and the complex contingencies that constrain people's decisions and capacities to adapt. To provide a more nuanced analysis of the dynamics of transformation in rural livelihood systems, we identified key complementarities between four different research approaches, enabling us to integrate them in a novel research framework that can guide empirical and modeling research on livelihood adaptation. The framework capitalizes upon parallel concepts of sequentiality in (1) ecosystem services and (2) livelihood adaptation scholarship, then incorporates principles from (3) adaptation in social-ecological systems research to account for the dynamism inherent in these often rapidly-transforming systems. Lastly, we include advances in (4) agent-based modeling, which couples human decisions and land use change and provides tools to incorporate complex social-ecological feedbacks in simulation studies of livelihood adaptation. Here we describe the new Ecosystem Services-Livelihood Adaptation (ESLA) framework, explain how it links the contributing approaches, and illustrate its application with two case studies. We offer guidance for its implementation in empirical and modeling research, and conclude with a discussion of current challenges in sustainability science and the contributions that could be gained through research guided by the ESLA framework. sustainability of small-scale natural resource-dependent (SSNRD) livelihood systems worldwide. In such rapidly transforming systems, achieving Sustainable Development Goals simultaneously for improved human well-being, poverty reduction, food security, and environmental sustainability will require effective and holistic strategies for livelihood adaptation [2].

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“…A análise de sistemas dinâmicos como o terrestre requer reconhecer que muitos processos operam em diferentes escalas espaciais e temporais, que existem processos de interação e retroalimentações (feedbacks) entre os fatores determinantes (drivers) de mudança, e que influências na dimensão político-institucional podem resultar em dinâmicas não lineares (DEARING et al, 2010;CHEN et al, 2016). Assumir que o objeto -ou quase-objeto -de investigação está inserido dentro de uma lógica essencialmente complexa, significa reenquadrá-lo, não só do ponto de vista das dificuldades e limitações inerentes ao processo, mas também em relação às alternativas metodológicas disponíveis e adequadas à sua análise.…”

Section: A Emergência Da Complexidade E De Seus Desafiosunclassified

“…Tais comportamentos encontram paralelo nos processos de mudanças nos padrões e nas trajetórias de uso e ocupação da terra (RINDFUSS et al, 2008;ROUNSEVELL et al, 2012), como a possibilidade de transições de fase (YEO; HUANG, 2013), a existência de intensos mecanismos de retroalimentação (feedbacks) (DEARING et al, 2010;VERBURG, 2006a;CHEN et al, 2016) Crawford et al (2005), entretanto, refletem sobre o entendimento da tal natureza complexa desses sistemas e nas imprecisões que podem emergir de suas possibilidades de compreensão. Para os referidos autores, a integração entre sistemas complexos e processos de transformação no uso e cobertura da terra pode ser compreendida de três prismas diferentes.…”

Section: A Emergência Da Complexidade E De Seus Desafiosunclassified

“…Tal afirmação traz em seu bojo a noção de que drivers econômicas, políticas, institucionais e demográficas, via de regra, extrapolam o próprio recorte territorial do objeto (VERBURG et al, 2010;GEIST;LAMBIN, 2002), ou seja, a análise do fenômeno deve considerar também a relação do local com outros recortes escalares, em um processo de constantes feedbacks, inclusive entre escalas (CHEN et al, 2016), em linha com a terceira possibilidade de compreensão elencada por Crawford et al (2005).…”

Section: A Emergência Da Complexidade E De Seus Desafiosunclassified

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O sistema terrestre (land system) como plataforma de integração e interpretação das complexas relações ambiente-sociedade

Branco

Roquetti

Moretto

2017

SustDeb

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RESUMOO chamado sistema terrestre -ou Land System, como a componente terrestre do Sistema Terraou Earth System, constitui um sistema eminentemente acoplado entre ambientes e sociedades. Por operar na complexa interface entre os campos sociais e naturais, a ciência do sistema terrestre emerge como uma plataforma de integração das diferentes dimensões relacionadas às mudanças ambientais. Nesse sentido, o presente artigo tem por objetivo a reflexão sobre as relações entre o tema, a interdisciplinaridade e a complexidade. O trabalho identifica esse viés integrador a partir de três características: a) o potencial para representação da pluralidade e multidimensionalidade de diversos sistemas de conhecimento, em diferentes estágios de estabilização; b) ser dotado do papel de mediador de processos socioecológicos, atuando simultaneamente como sua causa e consequência; e c) em decorrência dos itens anteriores, ser enquadrado como um sistema eminentemente complexo e, dessa forma, sujeito a seu conjunto de características, propriedades e comportamentos.

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How Are Feedbacks Represented in Land Models?

Cited by 10 publications

References 91 publications

A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System

A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System

Advancing the integration of ecosystem services and livelihood adaptation

O sistema terrestre (land system) como plataforma de integração e interpretação das complexas relações ambiente-sociedade

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