Abstract
ContextLandscape ecology thinking and social–ecological system (SES) thinking investigate human–environment relationships from the perspective of ‘space’ and ‘system’, respectively. To date, empirical landscape ecology studies attempting to understand SES complexities are rare.ObjectivesUsing the Tibetan pastoral landscape as an empirical example, we conceptualize the black-soil formation as SES regime shifts. We seek to illustrate the spatial patterns of black-soil formation in the Tibetan SES, and to reveal their underlying ecological processes.MethodsWe conducted interdisciplinary research in a Tibetan pastoral village. We obtained quantitative data on historical land-use intensity (LUI) and the associated management narratives. Landsat-based NDVI time series were used to derive a grassland productivity proxy and to reconstruct the process leading to the up-scaling of the regime shift of degradation.ResultsImportant SES features, such as LUI, productivity and degradation risk are heterogeneously distributed in space. Land-use intensification at farm-scales in the 1990s increased landscape-scale degradation risks. Eventually the regime shift of degradation scaled up from the plot level to the landscape level in the 2010s. The time lag was related to the gradual invasion of a native burrowing animal, the plateau pika, which inhabits low-vegetation height pastures.ConclusionsOur study shows that landscape ecology thinking provides an important spatial perspective to understanding SES complexities. The finding that unfavorable SES regime shifts are strongly linked across spatial scales implies that an ‘entry point’ into an adaptive management circle should be initiated when local-scale regime shifts are perceived and interpreted as early warning signals.
Highlights
Landscape ecology thinking and social–ecological system (SES) thinking conceptualize the human– environment relationship from distinct perspectives
From 1985 to 1994, there was a substantial increase of land-use intensity (LUI) in Karma: the stocking rate for the whole village had increased by 60%, while the average size of winter pasture dropped by 20% due to further pasture divisions when new families were formed (Table 1), which both lead to the increase of LUIs
We demonstrate a landscape ecology approach to investigate the spatial dimension of complexity in social–ecological systems
Summary
Landscape ecology thinking and social–ecological system (SES) thinking conceptualize the human– environment relationship from distinct perspectives. SES thinking takes a ‘systems’ approach to examine interrelationships among components in both social and ecological sub-systems (Berkes and Folke 1998; Ostrom 2009). The SES approach was further conceptualized as complex adaptive systems that contain feedback loops and nonlinearities (Berkes et al 2008; Folke et al 2005; Levin et al 2013; Liu et al 2007). It has been discussed that interdisciplinary frameworks should be developed to incorporate landscape ecology’s spatial perspective into sustainability studies of the ‘system thinking’ school (Cumming et al 2013). To date, genuine landscape ecology studies addressing complexity of SES remain scarce
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