Selection of Marine Protected Areas for conserving estuaries using surrogate approach

William Gladstone
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引用次数: 1

Abstract

Establishing marine protected areas in estuaries has been advocated as the efficient route in conserving the sensitive estuarine environment. However, selecting priority areas for conservation of estuarine biodiversity require detailed biodiversity inventories that are difficult to access. A potential solution is the use of surrogates that are readily measured and reflect the total biodiversity. Indicator groups and higher taxa are widely suggested as potential surrogates in establishing conservation areas. The performance of indicator groups and higher taxa as surrogates were assessed in one estuary in south-east Australia by traditional approach "correspondence in species richness" and using complementarity-based approaches "correspondence in compositional dissimilarity and coincidental representation of target species in simulated MPA for surrogates". Of 16 taxa examined, annelids, arthropods and molluscs were identified as reliable surrogates in representing biodiversity of target species. This study showed that genus-level data of indicator taxa could efficiently identify priority areas for target species. Family-level data of indicator taxa may be used as surrogate with caution. Given wide differences among aquatic habitats, there is a special need for finding indicator groups for different habitats.
选择以替代方法保育河口的海洋保护区
在河口建立海洋保护区被认为是保护河口敏感环境的有效途径。然而,选择河口生物多样性保护的优先区域需要详细的生物多样性清单,这很难获得。一个潜在的解决方案是使用易于测量并反映生物多样性总量的替代品。指标群和高等分类群被广泛认为是建立自然保护区的潜在替代物。采用传统的“物种丰富度对应”方法和基于互补性的“替代模拟海洋保护区中目标物种的组成差异性对应和巧合表示”方法,对澳大利亚东南部一个河口的指标群和高级分类群作为替代物种的表现进行了评估。在16个分类群中,环节动物、节肢动物和软体动物被确定为代表目标物种生物多样性的可靠替代品。研究表明,指示类群的属级数据可以有效地确定目标物种的优先区。指标分类群的科级数据可谨慎用作替代。鉴于水生生境之间的巨大差异,特别需要找到不同生境的指标组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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