By Vicky M. Temperton Ph.D., Richard J. Hobbs, Tim Nuttle, Stefan Halle
Meeting principles check with the ecological ideas that consultant the 'assembly' of ecosystems. they give counsel on making plans which species may be restored first, after which which might be additional during which order. This paintings explores the recommendations and theories with regards to meeting principles.
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Extra info for Assembly Rules and Restoration Ecology: Bridging the Gap Between Theory and Practice (The Science and Practice of Ecological Restoration Series)
Sample text
Principles and guidelines for restoration of river/floodplain ecosystems: Kissimmee River, Florida. In Rehabilitating Damaged Ecosystems, ed. J. Cairns, 49–73. : Lewis Publishers. Turner, M. G. 1987. Spatial simulation of landscape changes in Georgia: a comparison of 3 transition models. Landscape Ecology 1:29–36. Tyser, R. ; Asebrook, J. ; Potter, R. ; and Kurth, L. L. 1998. : effects of herbicide and seeding treatments. Restoration Ecology 6:197–206. Urbanska, K. M. 1994. Ecological restoration above the timberline: Demographic monitoring of whole trial plots in the Swiss Alps.
And Short, K. C. 1992. Habitat classification and soil restoration assessment using analysis of soil microbiological and physico-chemical characteristics. Journal of Applied Ecology 29:711–718. Berger, J. J. 1990. Environmental Restoration: Science and Strategies for Restoring the Earth. : Island Press. Bloom, S. A. 1980. Multivariate quantification of community recovery. In The Recovery Process in Damaged Ecosystems, ed. J. Cairns, 141–151. Ann Arbor: Ann Arbor Science Publishers. Bradshaw, A.
Young et al. (2001) have highlighted the need to extract and combine the most useful elements of various concepts (particularly succession and assembly) to guide restoration efforts. Thus, the framework of assembly rules theory is directly relevant to restoration ecology. There is a need for restoration when an ecosystem is stuck in an undesirable state, and the art and science of restoration is how best to move the system over any threshold holding it in that undesirable state (Hobbs and Norton 1996, Hobbs 1999).
