20th Annual Scientific Conference of the Matrix Biology Society of Australia and New Zealand

1996 ◽  
Vol 74 (6) ◽  
pp. a37-a49
Keyword(s):  
New Zealand ◽  
Annual Scientific ◽  
Scientific Conference ◽  
The Matrix

scholarly journals The Effect of Blue-Green Infrastructure on Habitat Connectivity and Biodiversity: A Case Study in the Ōtākaro/Avon River Catchment in Christchurch, New Zealand

2021 ◽  
Vol 13 (12) ◽  
pp. 6732
Author(s):  
Thuy Thi Nguyen ◽  
Colin Meurk ◽  
Rubianca Benavidez ◽  
Bethanna Jackson ◽  
Markus Pahlow
Keyword(s):  
New Zealand ◽  
Green Infrastructure ◽  
Natural Capital ◽  
Research Question ◽  
Urban Environments ◽  
Habitat Connectivity ◽  
Added Value ◽  
Environmental Evaluation ◽  
Representative Species ◽  
The Matrix

The natural capital components in cities (“blue-green infrastructure” BGI) are designed to address long-term sustainability and create multi-benefits for society, culture, business, and ecology. We investigated the added value of BGI through the research question “Can the implementation of blue-green infrastructure lead to an improvement of habitat connectivity and biodiversity in urban environments?” To answer this, the Biological and Environmental Evaluation Tools for Landscape Ecology (BEETLE) within the Land Utilisation and Capability Indicator (LUCI) framework was adopted and applied in Christchurch, New Zealand, for the first time. Three ecologically representative species were selected. The parameterisation was based on ecological theory and expert judgment. By implementation of BGI, the percentages of habitats of interest for kereru and paradise shelduck increased by 3.3% and 2.5%, respectively. This leads to improved habitat connectivity. We suggest several opportunities for regenerating more native patches around the catchment to achieve the recommended minimum 10% target of indigenous cover. However, BGI alone cannot return a full suite of threatened wildlife to the city without predator-fenced breeding sanctuaries and wider pest control across the matrix. The socio-eco-spatial connectivity analysed in this study was formalised in terms of four interacting dimensions.

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