Large-scale impact of climate change vs. land-use change on future biome shifts in Latin America

2016 ◽  
Vol 22 (11) ◽  
pp. 3689-3701 ◽  
Author(s):  
Alice Boit ◽  
Boris Sakschewski ◽  
Lena Boysen ◽  
Ana Cano-Crespo ◽  
Jan Clement ◽  
...  
Author(s):  
Vasyl Prydatko ◽  
Grygoriy Kolomytsev

Biodiversity modeling in Ukraine was recently developed in order to support policy making and for providing information to e.g. the reporting to the UN Convention of Biological Diversity. This is the first and highly ambitious study on biodiversity and its conditions in Ukraine and some surrounding countries. It includes four different methods to assess and project biodiversity changes: the indicative-index approach, the GLOBIO Mean Species Abundance (MSA) and two species based approaches, one using habitat changes as driving factor (EEBIO) and the other includes climate change (SDM_GLM). The indicative-index methodology dealt with 128 species and demonstrated low impact of climate change from 1950-2002, and is presented in a special Web-agro-biodiversity-searchable ‘BINU’ system for the users in Ukraine. It contains 96 agro-biodiversity indicators-indices. The EEBIO approach links species distribution maps, compiled from different sources to habitat change maps, resulting in a series of 800 GIS maps. The MSA-approach gives a general view of the intactness of biodiversity and shows a low impact of climate change by 2002 and a high impact due to habitat loss. A training package for educational purposes is derived from the analyses. The SDM-GLM-approach provided detailed species-based maps of the expected changes in habitats condition caused by land use change and climate change. Finally, the selected 54 indicator species (vascular plants, insects, amphibians, birds and mammals) demonstrated a surprising diversity of SDM-GLM-trends by 2030-2050. It proved that expected climate change, together with land-use change would provoke numerous expected and unexpected species-habitat alterations. If the final model is correct, then in the near future in Ukraine in particular, scientists and decision makers will by 2050 find about 4% of new species or will lose up to 13% of existing species.


2021 ◽  
Author(s):  
Dmitry Yumashev ◽  
Victoria Janes-Bassett ◽  
John Redhead ◽  
Ed Rowe ◽  
Jessica Davies

<p>It is widely accepted in the scientific, business and policy communities that meeting the Paris Agreement targets will require a large-scale deployment of negative emission technologies and practices. As a result, nature-based climate solutions, including carbon sequestration (Cseq) in soils and forests, have received much attention in the literature recently. Several national and global assessments have identified considerable potential for terrestrial Cseq, while other studies have raised doubts regarding its practical limits in the face of the likely future pressures from climate change and land use change. In general, the existing Cseq assessments lack sensitivity to climate change, perspective on local land use and nutrient limitations. Accounting for these factors requires process-based modelling, and is feasible only at national to regional scales at present, underpinned by a wide body of local evidence. Here, we apply an integrated terrestrial C-N-P cycle model (N14CP) with representative ranges of high-resolution climate and land use scenarios to estimate Cseq potential in temperate regions, using the UK as a national-scale example. Meeting realistic UK targets for grassland restoration and forestation over the next 30 years is estimated to sequester an additional 120 TgC by 2100 (similar to current annual UK greenhouse gas emissions), conditional on climate change of <2°C. Conversely, UK arable expansion would reduce Cseq by a similar magnitude, while alternative arable management practices such as extensive rotations with grass leys would have a comparatively small effect on country-wide Cseq outcomes. Most importantly, the simulations suggest that warmer climates will cause net reductions in Cseq as soil carbon losses exceed gains from increased plant productivity. Our analysis concludes that concerted land use change can make a moderate contribution to Cseq, but this is dependent on us cutting emissions from fossil fuels, soil degradation and deforestation in line with a <2°C pathway.</p>


Author(s):  
Vasyl Prydatko ◽  
Grygoriy Kolomytsev

This is updated study on biodiversity and its conditions in Ukraine and seven surrounding countries. It includes four different methods: the indicative-index approach, the Mean Species Abundance (MSA) and two species based approaches, one using habitat changes as driving factor (EEBIO) and the other includes climate change (SDM_GLM, BIOCLIM). The indicative-index methodology ‘BINU’ dealt with 128 species and 98 agrobiodiversity indicators-indices, and demonstrated low impact of climate change from 1950-2002. The EEBIO approach links species distribution maps, compiled from different sources to habitat change maps, resulting in a series of 900 GIS maps. The MSA-approach gives a general view and shows a low impact of climate change by 2002, and a high impact due to habitat loss. The GLM-approach provided detailed species-based maps of the expected changes in habitats condition caused by land use change and climate change, contrary to BIOCLIM. Finally, the selected 55 indicator species (vascular plants, insects, amphibians, birds and mammals) demonstrated a surprising diversity of GLM-trends by 2030-2050. It proved that expected climate change, together with land-use change would provoke numerous expected and unexpected species-habitat alterations. GLM- and BIOCLIM-based scenarios can not be the same. If the final GLM-scenarios are correct, then in the near future in Ukraine in particular, scientists and decision makers will by 2050 find about 4% of new species or will lose up to 13% of existing species.


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