TY  - JOUR
A1  - Thorn, Simon
A1  - Chao, Anne
A1  - Georgiev, Konstadin B.
A1  - Müller, Jörg
A1  - Bässler, Claus
A1  - Campbell, John L.
A1  - Jorge, Castro
A1  - Chen, Yan-Han
A1  - Choi, Chang-Yong
A1  - Cobb, Tyler P.
A1  - Donato, Daniel C.
A1  - Durska, Ewa
A1  - Macdonald, Ellen
A1  - Feldhaar, Heike
A1  - Fontaine, Jospeh B.
A1  - Fornwalt, Paula J.
A1  - Hernández Hernández, Raquel María
A1  - Hutto, Richard L.
A1  - Koivula, Matti
A1  - Lee, Eun-Jae
A1  - Lindenmayer, David
A1  - Mikusinski, Grzegorz
A1  - Obrist, Martin K.
A1  - Perlík, Michal
A1  - Rost, Josep
A1  - Waldron, Kaysandra
A1  - Wermelinger, Beat
A1  - Weiß, Ingmar
A1  - Zmihorski, Michal
A1  - Leverkus, Alexandro B.
T1  - Estimating retention benchmarks for salvage logging to protect biodiversity
JF  - Nature Communications
N2  - Forests are increasingly affected by natural disturbances. Subsequent salvage logging, a widespread management practice conducted predominantly to recover economic capital, produces further disturbance and impacts biodiversity worldwide. Hence, naturally disturbed forests are among the most threatened habitats in the world, with consequences for their associated biodiversity. However, there are no evidence-based benchmarks for the proportion of area of naturally disturbed forests to be excluded from salvage logging to conserve biodiversity. We apply a mixed rarefaction/extrapolation approach to a global multi-taxa dataset from disturbed forests, including birds, plants, insects and fungi, to close this gap. We find that 757% (mean +/- SD) of a naturally disturbed area of a forest needs to be left unlogged to maintain 90% richness of its unique species, whereas retaining 50% of a naturally disturbed forest unlogged maintains 73 +/- 12% of its unique species richness. These values do not change with the time elapsed since disturbance but vary considerably among taxonomic groups. Salvage logging has become a common practice to gain economic returns from naturally disturbed forests, but it could have considerable negative effects on biodiversity. Here the authors use a recently developed statistical method to estimate that ca. 75% of the naturally disturbed forest should be left unlogged to maintain 90% of the species unique to the area.
KW  - natural disturbance
KW  - bird communities
KW  - forest
KW  - management
KW  - beetle
KW  - conservation
KW  - windthrow
KW  - diversity
KW  - impact
KW  - fire
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230512
VL  - 11
ER  - 
TY  - JOUR
A1  - Dosso, Kanvaly
A1  - Yeo, Kolo
A1  - Konate, Souleymane
A1  - Linsenmair, Karl Eduard
T1  - Importance of protected areas for biodiversity conservation in central Cote d'Ivoire: Comparison of termite assemblages between two neighboring areas under differing levels of disturbance
JF  - Journal of Insect Science
N2  - To highlight human impact on biodiversity in the Lamto region, termites were studied with regard to their use as bio-indicators of habitat change in the tropics. Using a standardized method, termites were sampled in the three most common habitat types, i.e., in semi-deciduous forest, savanna woodland, and annually burned savanna, all inside Lamto Reserve and its surrounding rural domain. Termite species richness fell from 25 species in the Lamto forest to 13 species in the rural area, involving strong modification in the species composition (species turnover = 59 %). In contrast, no significant change in diversity was found between the Lamto savannas and the rural ones. In addition, the relative abundance of termites showed a significantly greater decline in the rural domain, even in the species Ancistrotermes cavithorax (Sjostedt) (Isoptera: Termitidae), which is known to be ecologically especially versatile. Overall, the findings of this study suggest further investigation around Lamto Reserve on the impact of human activities on biodiversity, focusing on forest conversion to land uses (e.g. agricultural and silvicultural systems).
KW  - species richness
KW  - Savanna
KW  - trinervitermes
KW  - rural domain
KW  - ant communities
KW  - gradient
KW  - Amazonia
KW  - forest disturbance
KW  - diversity
KW  - soil macrofauna
KW  - West Africa
KW  - land use
KW  - burned savanna
KW  - forest
KW  - Lamto Reserve
KW  - relative abundance
KW  - savanna woodland
KW  - species composition
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-133218
VL  - 12
IS  - 131
ER  - 
TY  - JOUR
A1  - Dhillon, Maninder Singh
A1  - Dahms, Thorsten
A1  - Kübert-Flock, Carina
A1  - Steffan-Dewenter, Ingolf
A1  - Zhang, Jie
A1  - Ullmann, Tobias
T1  - Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria
JF  - Remote Sensing
N2  - The increasing availability and variety of global satellite products provide a new level of data with different spatial, temporal, and spectral resolutions; however, identifying the most suited resolution for a specific application consumes increasingly more time and computation effort. The region’s cloud coverage additionally influences the choice of the best trade-off between spatial and temporal resolution, and different pixel sizes of remote sensing (RS) data may hinder the accurate monitoring of different land cover (LC) classes such as agriculture, forest, grassland, water, urban, and natural-seminatural. To investigate the importance of RS data for these LC classes, the present study fuses NDVIs of two high spatial resolution data (high pair) (Landsat (30 m, 16 days; L) and Sentinel-2 (10 m, 5–6 days; S), with four low spatial resolution data (low pair) (MOD13Q1 (250 m, 16 days), MCD43A4 (500 m, one day), MOD09GQ (250 m, one-day), and MOD09Q1 (250 m, eight day)) using the spatial and temporal adaptive reflectance fusion model (STARFM), which fills regions’ cloud or shadow gaps without losing spatial information. These eight synthetic NDVI STARFM products (2: high pair multiply 4: low pair) offer a spatial resolution of 10 or 30 m and temporal resolution of 1, 8, or 16 days for the entire state of Bavaria (Germany) in 2019. Due to their higher revisit frequency and more cloud and shadow-free scenes (S = 13, L = 9), Sentinel-2 (overall R\(^2\) = 0.71, and RMSE = 0.11) synthetic NDVI products provide more accurate results than Landsat (overall R\(^2\) = 0.61, and RMSE = 0.13). Likewise, for the agriculture class, synthetic products obtained using Sentinel-2 resulted in higher accuracy than Landsat except for L-MOD13Q1 (R\(^2\) = 0.62, RMSE = 0.11), resulting in similar accuracy preciseness as S-MOD13Q1 (R\(^2\) = 0.68, RMSE = 0.13). Similarly, comparing L-MOD13Q1 (R\(^2\) = 0.60, RMSE = 0.05) and S-MOD13Q1 (R\(^2\) = 0.52, RMSE = 0.09) for the forest class, the former resulted in higher accuracy and precision than the latter. Conclusively, both L-MOD13Q1 and S-MOD13Q1 are suitable for agricultural and forest monitoring; however, the spatial resolution of 30 m and low storage capacity makes L-MOD13Q1 more prominent and faster than that of S-MOD13Q1 with the 10-m spatial resolution.
KW  - Landsat
KW  - Sentinel-2
KW  - NDVI
KW  - fusion
KW  - agriculture
KW  - grassland
KW  - forest
KW  - urban
KW  - water
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-323471
SN  - 2072-4292
VL  - 14
IS  - 3
ER  -