scholarly journals Ecological traits affect the response of tropical forest bird species to land-use intensity

2013 ◽  
Vol 280 (1750) ◽  
pp. 20122131 ◽  
Author(s):  
Tim Newbold ◽  
Jörn P. W. Scharlemann ◽  
Stuart H. M. Butchart ◽  
Çağan H. Şekercioğlu ◽  
Rob Alkemade ◽  
...  

Land-use change is one of the main drivers of current and likely future biodiversity loss. Therefore, understanding how species are affected by it is crucial to guide conservation decisions. Species respond differently to land-use change, possibly related to their traits. Using pan-tropical data on bird occurrence and abundance across a human land-use intensity gradient, we tested the effects of seven traits on observed responses. A likelihood-based approach allowed us to quantify uncertainty in modelled responses, essential for applying the model to project future change. Compared with undisturbed habitats, the average probability of occurrence of bird species was 7.8 per cent and 31.4 per cent lower, and abundance declined by 3.7 per cent and 19.2 per cent in habitats with low and high human land-use intensity, respectively. Five of the seven traits tested affected the observed responses significantly: long-lived, large, non-migratory, primarily frugivorous or insectivorous forest specialists were both less likely to occur and less abundant in more intensively used habitats than short-lived, small, migratory, non-frugivorous/insectivorous habitat generalists. The finding that species responses to land use depend on their traits is important for understanding ecosystem functioning, because species' traits determine their contribution to ecosystem processes. Furthermore, the loss of species with particular traits might have implications for the delivery of ecosystem services.

2008 ◽  
Vol 100 (1-2) ◽  
pp. 83-88 ◽  
Author(s):  
R SMITH ◽  
C MCSWINEY ◽  
A GRANDY ◽  
P SUWANWAREE ◽  
R SNIDER ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gaëtane Le Provost ◽  
Jan Thiele ◽  
Catrin Westphal ◽  
Caterina Penone ◽  
Eric Allan ◽  
...  

AbstractLand-use intensification is a major driver of biodiversity loss. However, understanding how different components of land use drive biodiversity loss requires the investigation of multiple trophic levels across spatial scales. Using data from 150 agricultural grasslands in central Europe, we assess the influence of multiple components of local- and landscape-level land use on more than 4,000 above- and belowground taxa, spanning 20 trophic groups. Plot-level land-use intensity is strongly and negatively associated with aboveground trophic groups, but positively or not associated with belowground trophic groups. Meanwhile, both above- and belowground trophic groups respond to landscape-level land use, but to different drivers: aboveground diversity of grasslands is promoted by diverse surrounding land-cover, while belowground diversity is positively related to a high permanent forest cover in the surrounding landscape. These results highlight a role of landscape-level land use in shaping belowground communities, and suggest that revised agroecosystem management strategies are needed to conserve whole-ecosystem biodiversity.


2018 ◽  
Vol 10 (8) ◽  
pp. 2764 ◽  
Author(s):  
Abhishek Chaudhary ◽  
Arne Mooers

Efficient forward-looking mitigation measures are needed to halt the global biodiversity decline. These require spatially explicit scenarios of expected changes in multiple indicators of biodiversity under future socio-economic and environmental conditions. Here, we link six future (2050 and 2100) global gridded maps (0.25° × 0.25° resolution) available from the land use harmonization (LUH) database, representing alternative concentration pathways (RCP) and shared socio-economic pathways (SSPs), with the countryside species–area relationship model to project the future land use change driven rates of species extinctions and phylogenetic diversity loss (in million years) for mammals, birds, and amphibians in each of the 804 terrestrial ecoregions and 176 countries and compare them with the current (1900–2015) and past (850–1900) rates of biodiversity loss. Future land-use changes are projected to commit an additional 209–818 endemic species and 1190–4402 million years of evolutionary history to extinction by 2100 depending upon the scenario. These estimates are driven by land use change only and would likely be higher once the direct effects of climate change on species are included. Among the three taxa, highest diversity loss is projected for amphibians. We found that the most aggressive climate mitigation scenario (RCP2.6 SSP-1), representing a world shifting towards a radically more sustainable path, including increasing crop yields, reduced meat production, and reduced tropical deforestation coupled with high trade, projects the lowest land use change driven global biodiversity loss. The results show that hotspots of future biodiversity loss differ depending upon the scenario, taxon, and metric considered. Future extinctions could potentially be reduced if habitat preservation is incorporated into national development plans, especially for biodiverse, low-income countries such as Indonesia, Madagascar, Tanzania, Philippines, and The Democratic Republic of Congo that are otherwise projected to suffer a high number of land use change driven extinctions under all scenarios.


2018 ◽  
Vol 434 (1-2) ◽  
pp. 289-304 ◽  
Author(s):  
Safaa Wasof ◽  
An De Schrijver ◽  
Stephanie Schelfhout ◽  
Michael P. Perring ◽  
Elyn Remy ◽  
...  

2017 ◽  
Vol 71 (1) ◽  
pp. 17-27
Author(s):  
Brittany Anderson ◽  
Li Zhang ◽  
Huining Wang ◽  
Tianyi Lu ◽  
F. David Horgen ◽  
...  

2013 ◽  
Vol 316-317 ◽  
pp. 197-199 ◽  
Author(s):  
Chen Guang Xu ◽  
Amat Anwar

On the basis of analysis of the development of urbanization and land use change in Zhengzhou City in2004-2010, The drive mechanism of the intensity of land use change in the research context of rapid urbanization, To explore the degree of land use change human driving factors, Drive and build a model, The results show that: Unit of agricultural land and the ratio of the output value of the land for construction as well as population density and land use intensity positive correlation, Making land use intensity tends to increase, The population density growth, Urbanization of the population and economic non-farm is the main driving factor for the intensity of land use change. And then proceed to the analysis of the spatial pattern of Zhengzhou City, Investigate the level of urbanization and land use / cover the relationship between landscape pattern.


Author(s):  
Ellery V. Lassiter ◽  
Marcus Asher ◽  
Grace Christie ◽  
Connor Gale ◽  
Andrhea Massey ◽  
...  

Northern bobwhite Colinus virginianus populations have been rapidly declining in the eastern, central, and southern United States for decades. Declines have been driven by land use change and an incompatibility between northern bobwhite resource needs and human land use practices. Here, we applied occupancy analyses on two spatial scales (state-level and ecoregion-level) to more than 5,000 northern bobwhite surveys conducted over six years across the entire state of Arkansas to explore patterns in occupancy and land use variables, and to identify priority areas for management and conservation. At the state level, northern bobwhite occupied 29% of sites and northern bobwhite were most likely to occur in areas with a high percentage of early successional habitat (grassland, pasture, and shrubland). The statewide model predicted that northern bobwhite were likely to occur (≥75% predicted occupancy) in <20% of the state. Arkansas is comprised of five distinct ecoregions, and analyses at the ecoregion spatial scale showed that habitat associations of northern bobwhite could vary between ecoregions. For example, northern bobwhite occupancy in both the Arkansas River Valley and Ozark Mountains ecoregions was best predicted by early successional habitat, but was further refined by other habitat associations such as the proportion of herbaceous habitat and hay-pasture habitat, respectively. Contrastingly, northern bobwhite occupancy in the Ouachita Mountains ecoregion was best predicted by richness of landcover classes alone. Ecoregion-level models were thus more discerning than the state level model and should be more helpful to managers in identifying priority conservation areas. However, in 2 of 5 ecoregions, northern bobwhite were too rarely encountered to accurately predict their occurrence. We found that likely occupied northern bobwhite habitat lay primarily on private properties (95%), but that numerous public entities own and manage land identified as suitable or likely occupied. We conclude that management of northern bobwhite in Arkansas could benefit from cooperation among state, federal, and military partners, as well as surrounding private landowners and that ecoregion-specific models may be more useful in identifying priority areas for management. Our approach incorporates multiple landscape scales when using remote sensing technology in conjunction with monitoring data and could have important application for the management of northern bobwhite and other grassland bird species.


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