Thông tin tài nguyên

Assessing the effects of agricultural intensification on natural habitats and biodiversity in Southern Amazonia

pmc-PMC7688104.pdf · Phiên bản 1 · 21 trang

18
Bản gốc
Trang 15 · Đoạn 40Vị trí nguồn

conserved, which displaces LULCC from the Pantanal to other not conserved, less biodiverse areas. This prevents strongly decreasing BII value for threatened vertebrate species and espe- cially small-ranged amphibian species in the Legal Intensification scenario in contrast to the sit- uation in the Illegal Intensification Scenario. As has been discussed before, the expansion of cropland due to a anthropogenic consumption shift towards plant based consumption can only be marginally realized on released pasture area in the Sustainable Development Scenario in MT, resulting in BII decreases that are stronger compared to the situation in the Sustainable Development Scenario in PA. Concerning both Federal States, it has to be mentioned that the impact of a conversion of natural habiats on the distribution ranges of vertebrate species expressed by the BII seems rela- tively high concerning small-ranged and threatened amphibians in PA and small-ranged amphibians in MT. This can be explained by the small extent of the distribution ranges of these vertebrate species [5] (see section 2.4) compared to the other investigated vertebrate spe- cies. Only a marginal conversion of natural habitats can mean a severe impact, especially if expressed with the help of an indicator as the BII. 3.4. Limitations and uncertainties of the study First and foremost, a model-based scenario analysis with a focus on environmental impacts should not be misunderstood as a method to predict concrete future events. Rather, it provides

Trang 15 · Đoạn 41Vị trí nguồn

a powerful tool to systematically explore plausible constellations of social and economic drivers and the emerging trajectories and dynamics of LULCC, together with its related environmen- tal consequences. It represents a potent method to explore the efficiency and unexpected con- sequences of policies and can therefore be especially applied to inform decision making under Deep Uncertainty [92]. LandSHIFT has been tested concerning associated uncertainty in modeling LULCC in the Amazon region [58]. Concerning the data that was used to assess the effect of a loss of natural habitat area on spe- cies diversity as well as the BII values, the species diversity maps [5], issues of data deficiency have an impact on our estimates. Especially amphibian and mammal species are understudied. Data deficient mammals are mainly concentrated in the Amazon whereas around 30% of all assessed amphibians are generally data deficient [5]. This may lead to an underestimation of the impact of loss of natural habitats on vertebrate diversity especially in regions covered by rainforest (Amazon). Notable are threatened amphibian species. Here, only 4% of the assessed species appear to be threatened, whereas the global rate of threatened amphibians lies at 31% [93] suggesting that the high data deficiency in regard to this taxon and the investigated area are significantly influencing our results. Moreover, we do not holistically explore the effects of agricultural intensification on natural habitats and its biodiversity. In order to do so it would require an analysis of all factors of agri-

Trang 15 · Đoạn 42Vị trí nguồn

cultural intensification that positively or negatively influences wildlife and habitats. This analy- sis would have to include emissions caused due to intensification (livestock, fertilizers etc.) and their effect on biodiversity as well as indirect LULCC, for instance caused by a cropland expan- sion due to an increasing demand for fodder in feedstock systems. Additionally, only verte- brate species are assessed, other representative and important groups of organisms (e.g. insects, soil microorganisms) are not part of this research. Furthermore, the authors simply focus on the assessment based on species numbers. Other determining factors, like functional diversity and functional redundancy, have not yet been incorporated into the analysis. In all of our scenarios we assume that increases of crop yields until 2030 can be achieved by technological improvements and a more intensive agricultural management alone. At the same time studies such as [55, 94] point out that climate change might have negative effects on PLOS ONE Agricultural intensification effects on natural habitats and biodiversity PLOS ONE | https://doi.org/10.1371/journal.pone.0225914 November 25, 2020 15 / 21