Universität zu Köln

Torrico, Juan C. and Janssens, Marc J. J. (2010). Rapid assessment methods of resilience for natural and agricultural systems. An. Acad. Bras. Cienc., 82 (4). S. 1095 - 1106. RIO JANEIRO: ACAD BRASILEIRA DE CIENCIAS. ISSN 1678-2690

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Abstract

The resilience, ecological function and quality of both agricultural and natural systems were evaluated in the mountainous region of the Atlantic Rain Forest of Rio de Janeiro through Rapid Assessment Methods. For this goal new indicators were proposed, such as eco-volume, eco-height, bio-volume, volume efficiency, and resilience index. The following agricultural and natural systems have been compared according: (i) vegetables (leaf, fruit and mixed); (ii) citrus; (iii) ecological system; (iv) cattle, (v) silvo-pastoral system, (vi) forest fragment and (vii) forest in regeneration stage (1, 2 and 3 years old). An alternative measure (index) of resilience was proposed by considering the actual bio-volume as a function of the potential eco-volume. The objectives and hypotheses were fulfilled; it is shown that there does exist a high positive correlation between resilience index, biomass, energy efficiency and biodiversity. Cattle and vegetable systems have lowest resilience, whilst ecological and silvo-pastoral systems have greatest resilience. This new approach offers a rapid, though valuable assessment tool for ecological studies, agricultural development and landscape planning, particularly in tropical countries.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Torrico, Juan C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Janssens, Marc J. J. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-491070
DOI:	10.1590/S0001-37652010000400027
Journal or Publication Title:	An. Acad. Bras. Cienc.
Volume:	82
Number:	4
Page Range:	S. 1095 - 1106
Date:	2010
Publisher:	ACAD BRASILEIRA DE CIENCIAS
Place of Publication:	RIO JANEIRO
ISSN:	1678-2690
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMPETITION Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/49107