On the role of dynamic atmosphere–vegetation interactions under increasing radiative forcing

Füssler, Jürg S.; Gassmann, Fritz

doi:10.1046/j.1365-2699.2000.00194.x

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…It strongly influences the exchange of energy, substances and moisture between land and atmosphere through photosynthesis, respiration and transpiration (Graetz, 1991;Mcpherson, 2007). At the same time, the vegetation growth condition is largely affected by climate factors, such as precipitation, air temperature and greenhouse gases (Füssler and Gassmann, 2000;Lotsch et al, 2003;Liu et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Ecohydrological optimality in the Northeast China Transect

Cong

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The Northeast China Transect (NECT) is one of the International Geosphere-Biosphere Program (IGBP) terrestrial transects, where there is a significant precipitation gradient from east to west, as well as a vegetation transition of forest-grassland-desert. It is remarkable to understand vegetation distribution and dynamics under climate change in this transect. We take canopy cover (M), derived from Normalized Difference Vegetation Index (NDVI), as an index to describe the properties of vegetation distribution and dynamics in the NECT. In Eagleson's ecohydrological optimality theory, the optimal canopy cover (M * ) is determined by the trade-off between water supply depending on water balance and water demand depending on canopy transpiration. We apply Eagleson's ecohydrological optimality method in the NECT based on data from 2000 to 2013 to get M * , which is compared with M from NDVI to further discuss the sensitivity of M * to vegetation properties and climate factors. The result indicates that the average M * fits the actual M well (for forest, M * = 0.822 while M = 0.826; for grassland, M * = 0.353 while M = 0.352; the correlation coefficient between M and M * is 0.81). Results of water balance also match the field-measured data in the references. The sensitivity analyses show that M * decreases with the increase of leaf area index (LAI), stem fraction and temperature, while it increases with the increase of leaf angle and precipitation amount. Eagleson's ecohydrological optimality method offers a quantitative way to understand the impacts of climate change on canopy cover and provides guidelines for ecorestoration projects.

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Section: Introductionmentioning

confidence: 99%

Ecohydrological optimality in the Northeast China Transect

Cong

et al. 2017

Hydrol. Earth Syst. Sci.

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“…In the framework of global climate change, the same misbelief lets many climatologists deny the possibility of abrupt climate change, though this has evolved into a hot research topic during recent years (e.g. Gassmann 1998;Füssler & Gassmann 2000;Walther 2002;Dessai et al 2004;Mastrandrea & Schneider 2004). The final proof might come from nature itself, when a dramatically changed global climate system ('with a lot of room for stochastic effects') will show a 'strong divergence'.…”

Section: Discussionmentioning

confidence: 99%

Vegetation change shows generic features of non‐linear dynamics

Gassmann

Klötzli

Walther

2005

J Vegetation Science

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Question: In non‐linear physical, or chemical, systems dynamic instability limits predictability and external fluctuations cause interesting, and sometimes counter intuitive, effects. We ask how these generic properties of complex systems are seen in vegetation change. Methods: An interacting particle system is used to simulate possible developments of a plant community that was observed for 30 years on a test area in the Lüneburger Heide (Germany). We investigate simulated trajectories for five plant types over several decades. The internal updating rule, simulating the interactions between the five plant types, is completely deterministic, the only sources of stochasticity being the initial conditions and the external climatic variations. Results: Though the results of our simulation model share many aspects with those of stochastic models with probabilistic transition matrices, the solution manifold of our non‐linear model goes beyond the possibilities of stochastic models. Among many stable developments, chaotic trajectories were also found. Climatic fluctuations increased the frequency of certain plant types. These properties of vegetation dynamics match the long‐term field observations. They reflect generic features of complex systems. Conclusions: The presented non‐linear model can provide insights into the dynamics of vegetation change, even though the mechanisms observed in the real world are modelled only in a rather general way. The rich behavioural repertoire, resulting from deterministic internal dynamics, can simulate observed properties that are beyond the possibilities of models with probabilistic internal dynamics.

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Klima und Klimaänderungen — Erwärmen wir die Erde tatsächlich?

2005

Allgemeine Geobotanik

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On the role of dynamic atmosphere–vegetation interactions under increasing radiative forcing

Cited by 5 publications

References 31 publications

Ecohydrological optimality in the Northeast China Transect

Ecohydrological optimality in the Northeast China Transect

Vegetation change shows generic features of non‐linear dynamics

Klima und Klimaänderungen — Erwärmen wir die Erde tatsächlich?

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