Multilevel modelling of land use from field to village level in the Philippines

Overmars, Koen P.; Verburg, Peter H.

doi:10.1016/j.agsy.2005.10.006

Cited by 94 publications

(52 citation statements)

References 31 publications

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“…Since our data structure is characterized by the observations of 443 small watersheds nested within two counties, it is not surprising that the variance of NPP is not significant at the county level. The relative small sample size at the county level may hamper the estimation of intercept random, which is similar to the conditions in previous studies (Overmars and Verburg, 2006;Polsky and Easterling III, 2001). Overall, there is not significant county level intercept variation and there is not significant improvement in Eq.…”

Section: Multilevel Modelingsupporting

confidence: 74%

Multilevel modeling of NPP change and impacts of water resources in the Lower Heihe River Basin

Yan

Zhan

Jiang

et al. 2015

Physics and Chemistry of the Earth, Parts A/B/C

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a b s t r a c tNet primary productivity (NPP) lays the foundation for provision of various ecosystem services, and understanding the impacts of potential influencing factors on NPP is of great significance to formulating appropriate management measures to guarantee the sustainable provision of essential ecosystem services. This study analyzed the impacts of potential influencing factors on NPP in the lower Heihe River Basin, a typical arid and semi-arid region in China. Results of decomposition analysis suggested that the water availability played an important role in increasing NPP, with a contribution rate of 44.17%, and it is necessary to carry out some policies that can promote the water use efficiency to increase NPP under the background of climate change and intensified human activities. There are some uncertainties in the results of this study, but these results still can provide valuable reference information for the water resource management to increase the ecosystem service supply in the lower Heihe River Basin.

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Section: Multilevel Modelingsupporting

confidence: 74%

Multilevel modeling of NPP change and impacts of water resources in the Lower Heihe River Basin

Yan

Zhan

Jiang

et al. 2015

Physics and Chemistry of the Earth, Parts A/B/C

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“…In particular, the variances of the conditional models increased and became significant in the conditional model of b (1) compared with the unconditional model of a (1). Although the result could not be explained completely, this could partially be because the changes in the fixed effects part can generally cause significant change in the random part, while changes in the random part usually do not cause enormous change in the fixed effect part [45].…”

Section: Discussionmentioning

confidence: 91%

“…The analysis of hierarchical data is best performed using statistical techniques, such as multi-level modeling [43]. Until now, there have been several empirical studies in which multi-level modeling is used to deal with hierarchical data in rural studies [26,44,45]. In this study, the influence of village, household, and peasant-related factors on peasants' livelihood strategies was analyzed using multi-level modeling.…”

Section: Multi-level Model Specificationmentioning

confidence: 99%

Multilevel Modeling of Rural Livelihood Strategies from Peasant to Village Level in Henan Province, China

et al. 2018

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Abstract:With the rapid development of China's economy, Chinese peasants now have a growing number of livelihood choices. Rural livelihood strategies are primarily a matter of choice, while the characteristics of the household and village may affect the decision-making process. However, until now, there has been a lack of empirical studies that have been carried out for the identification of the multi-level determinants of rural livelihood strategies. To fill this gap, this paper applies multi-level modeling approach to model rural livelihood strategies in Henan Province, China. The results show that rural livelihood strategies have insignificant between-group variability at the household level, and significant between-group variability at the village level, with the variance at the peasant level accounting for the largest proportion of the total variance. Younger peasants who are male and have a higher education level are more likely to engage in only off-farm work, while peasants with the opposite characteristics are more likely to engage in only on-farm work. Pluriactive peasants integrate the characteristics of the other two groups, and generally live closer to urban areas than the others. In order to reduce rural income inequality and sustain agricultural production, the Chinese government should design effective policies to make farming an appealing livelihood choice, particularly for the young generation.

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“…Multilevel modeling approaches are useful for hierarchical data analysis whereby observations in a dataset belong in groups-such as land change within a single territoryand model parameters are jointly estimated by group, such as different groups of territories or urban clusters at different scales or locations. Multilevel models are being used by land-change scientists (58), but the research community has yet to realize fully the gains from incorporating multilevel modeling methods and approaches used in statistics (59). Spatially explicit life-cycle analysis.…”

Section: Research Agenda For Moving Forwardmentioning

confidence: 99%

Urban land teleconnections and sustainability

Seto

Reenberg

Boone

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

727

365

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This paper introduces urban land teleconnections as a conceptual framework that explicitly links land changes to underlying urbanization dynamics. We illustrate how three key themes that are currently addressed separately in the urban sustainability and land change literatures can lead to incorrect conclusions and misleading results when they are not examined jointly: the traditional system of land classification that is based on discrete categories and reinforces the false idea of a rural-urban dichotomy; the spatial quantification of land change that is based on place-based relationships, ignoring the connections between distant places, especially between urban functions and rural land uses; and the implicit assumptions about path dependency and sequential land changes that underlie current conceptualizations of land transitions. We then examine several environmental "grand challenges" and discuss how urban land teleconnections could help research communities frame scientific inquiries. Finally, we point to existing analytical approaches that can be used to advance development and application of the concept.coupled human-natural systems | land change science U rbanization and land change are two global processes with far-reaching consequences. Although the two are tightly intertwined, their literatures and analytical frameworks were largely developed separately. We argue that these parallel but distinct conceptualizations limit progress in these fields and in sustainability science, specifically given the environmental impacts of urbanization on the land system, and associated social and political challenges. The magnitude and accelerating rate of contemporary urbanization are reshaping land use locally and globally in ways that require a reexamination of land change and urban sustainability. Worldwide, urban populations are projected to increase by almost 3 billion by 2050 (1) and the total global urban land area by more than 1.5 million square kilometers-an area three times the size of Spain-by 2030 (2). Urban economies currently generate more than 90% of global gross value added, meaning few rural systems are unaffected by urbanization (3). Given such trends, we must reconsider how we conceptualize the many connections and feedbacks between urbanization and land change processes. To date, a large body of literature has considered the proximate land changes brought about by urbanization, but the more distant land-use implications of urbanization remain underexamined.In climate science, the concept of teleconnections refers to climate anomalies that correlate over large geographic distances. During warm phases of the Atlantic multidecadal oscillation, for instance, the incidence of synchronous wildfires increases in the western United States (4). The virtual shrinking of distances between places, strengthening connectivity between distant locations, and growing separation between places of consumption and production are emerging topics in "telecoupled" human-natural systems (5-7) and tropical teleconnections ...

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Multilevel modelling of land use from field to village level in the Philippines

Cited by 94 publications

References 31 publications

Multilevel modeling of NPP change and impacts of water resources in the Lower Heihe River Basin

Multilevel modeling of NPP change and impacts of water resources in the Lower Heihe River Basin

Multilevel Modeling of Rural Livelihood Strategies from Peasant to Village Level in Henan Province, China

Urban land teleconnections and sustainability

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