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      Estimates of Species Richness and Composition Depend on Detection Method in Assemblages of Terrestrial Mammals

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          Abstract

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          Transformation of forest into farmland and many other drivers of global change have the potential for quickly reducing or altering the set of mammal species inhabiting a particular place. To document this process, lists of species updated at regular intervals should be compared. Several detection techniques are available to make lists of medium to large mammal species during field surveys. We explore whether four field methods differ in their efficiency to describe a complete list of species and in their capacity to produce the same list, provided that species composition has not changed. Using track surveys, we detected all species present in a region encompassing three Mediterranean landscapes and obtained the most accurate description of the number of species in 24 specific localities within the region. The sampling effort needed for track surveys was also relatively low. Had we chosen camera traps, scent stations, or scat surveys as the only survey method during the same period, we would have obtained incomplete species lists. We show that the common practice of using a single detection method without previous evaluation may produce unreliable species inventories, hampering a correct assessment of the impact of human activity on wild mammals.

          Abstract

          Detecting rapid changes in mammal composition at large spatial scales requires efficient detection methods. Many studies estimate species composition with a single survey method without asking whether that particular method optimises detection for all occurring species and yields reliable community-level indices. We explore the implications of between-method differences in efficiency, consistency, and sampling effort for the basic characterisation of assemblages of medium to large mammals in a region with three contrasted Mediterranean landscapes. We assessed differences between camera traps, scent stations, scat surveys, and track surveys. Using track surveys, we detected all species present in the regional pool (13) and obtained the most accurate description of local species richness and composition with the lowest sampling effort (16 sampling units and 2 survey sessions at most). Had we chosen camera traps, scent stations, or scat surveys as the only survey method, we would have underestimated species richness (9, 11, and 12 species, respectively) and misrepresented species composition in varying degrees. Preliminary studies of method performance inform whether single or multiple survey methods are needed and eventually which single method might be most appropriate. Without such a formal assessment current practices may produce unreliable and incomplete species inventories, ultimately leading to incorrect conclusions about the impact of human activity on mammal communities.

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          Biodiversity loss and its impact on humanity.

          The most unique feature of Earth is the existence of life, and the most extraordinary feature of life is its diversity. Approximately 9 million types of plants, animals, protists and fungi inhabit the Earth. So, too, do 7 billion people. Two decades ago, at the first Earth Summit, the vast majority of the world's nations declared that human actions were dismantling the Earth's ecosystems, eliminating genes, species and biological traits at an alarming rate. This observation led to the question of how such loss of biological diversity will alter the functioning of ecosystems and their ability to provide society with the goods and services needed to prosper.
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            betapart: an R package for the study of beta diversity

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              Targeting global conservation funding to limit immediate biodiversity declines

              Inadequate funding levels are a major impediment to effective global biodiversity conservation and are likely associated with recent failures to meet United Nations biodiversity targets. Some countries are more severely underfunded than others and therefore represent urgent financial priorities. However, attempts to identify these highly underfunded countries have been hampered for decades by poor and incomplete data on actual spending, coupled with uncertainty and lack of consensus over the relative size of spending gaps. Here, we assemble a global database of annual conservation spending. We then develop a statistical model that explains 86% of variation in conservation expenditures, and use this to identify countries where funding is robustly below expected levels. The 40 most severely underfunded countries contain 32% of all threatened mammalian diversity and include neighbors in some of the world’s most biodiversity-rich areas (Sundaland, Wallacea, and Near Oceania). However, very modest increases in international assistance would achieve a large improvement in the relative adequacy of global conservation finance. Our results could therefore be quickly applied to limit immediate biodiversity losses at relatively little cost.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                14 January 2021
                January 2021
                : 11
                : 1
                : 186
                Affiliations
                Department of Conservation Biology, Estación Biológica de Doñana—CSIC, Américo Vespucio 26, 41092 Sevilla, Spain; bdstangil@ 123456gmail.com
                Author notes
                [* ]Correspondence: alrodri@ 123456ebd.csic.es
                Author information
                https://orcid.org/0000-0002-9596-2549
                https://orcid.org/0000-0001-9367-3420
                Article
                animals-11-00186
                10.3390/ani11010186
                7830977
                33466807
                abdf5dbe-2a82-4f4c-9cfc-1b159a9f4738
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 November 2020
                : 11 January 2021
                Categories
                Article

                consistency,efficiency,large-scale,mammal communities,rapid surveys,sampling effort

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