Latitudinal gradients of estimated tree species richness and co-limitation of drivers a, The LDG of tree species richness per hectare was first empirically derived for all 0.025° pixels within the global forest range and aggregated by latitude (Methods). Data are presented as mean values (solid lines) ± standard deviation (shaded areas) and then compared to LDG predicted by the MTB based on local mean annual temperatures. b, The co-limitation illustrated here was the product of LDG and the percentage prevalence of dominant drivers by latitude (Fig. 5).
The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we...
... While, a very less tree species richness (10 spp.) with a comparable total tree density of 255 ind. ha −1 and slightly high dominance (10.11 m 2 ha −1 ) were reported in high fire zones in tropical deciduous forests of Bhoramdeo Wildlife Sanctuary, Chhattisgarh (Jhariya et al., 2014) and are primarily driven by latitudinal gradients (Liang et al., 2022). Altered species composition, diversity, and reduced seedling density were also been reported in areas of dry deciduous forest with the shortest fire return intervals compared to forest patches with lower fire frequency in the moist deciduous forests of Nilgiri Biosphere Reserve, Western Ghats (Kodandapani et al., 2009). ...
The present study highlights the forest fire hotspots based on daily forest fire occurrence during 2000–2020 and its subsequent long-term impacts on different vegetation types in Central India. The MODIS (MCD14DL) based study exhibited the recurrence of fire incidences in central and southern parts of forests and affected substantial parts of the deciduous broadleaf forest (31.56% of select forest type) and deciduous needleleaf forest (30.23%), shrubland (7.52%), mixed forest (9.80%), with the major forest fire peaks during March and April, while negligible fire incidences were observed in plantation and grassland. 72% of field transects (157 out of the 218 field transects) were observed under high anthropogenic influences as evidenced by a large number of cut stumps. Six species (out of 106 studies tree species) including Tectona grandis L.f. (occurrence in 98% of fire hotspots), Butea monosperma (Lam.) Taubert (66%), were observed to be highly fire-resistant, recorded in >50% of the forest fire hotspots regions. The major forest fires hotspots (p < 0.01) were observed in the Malwa plateau, Vindhyan ranges, and Satpura range during 2000–2020, as observed with high fire intensity. While the forest in the northern parts attributed a cold spot with reference to forest fires (p < 0.01). The study elucidated the high susceptibility of forest fire in deciduous forests in Central India and necessitated proper management of forest fires by encouraging fire-resistant species, and prioritization of regions under fire hazards through the adoption of preparedness and response strategies to minimize the forest fire impacts.
Our data shows that the protection of 80% of the Amazon is necessary and possible, but above all, urgent. If the current trend of deforestation continues, the Amazon as we know it today would not reach 2025. This report presents ten compelling conclusions resulting from the comparison of the status of the Priority Areas by territorial management regimes: protected areas, indigenous territories and undesignated areas. It also proposes a comparison by country.