The Experts below are selected from a list of 1419 Experts worldwide ranked by ideXlab platform
J. A. Bhat - One of the best experts on this subject based on the ideXlab platform.
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Estimating soil carbon storage and mitigation under Temperate Coniferous Forests in the southern region of Kashmir Himalayas
Mitigation and Adaptation Strategies for Global Change, 2014Co-Authors: Akhlaq Amin Wani, Pawan Kumar Joshi, Ombir Singh, J. A. BhatAbstract:Soil physical and chemical properties were quantified to assess soil organic carbon (SOC) density (t ha^-1) and SOC CO2 mitigation (t ha^-1) under six forest strata Cedrus deodara (closed) (S1), Cedrus deodara (open) (S2), Abies pindrow-Picea smithiana (closed) (S3), Abies pindrow-Picea smithiana (open) (S4), Pinus wallichiana (closed) (S5) and Pinus wallichiana (open) (S6) in the southern region of Kashmir Himalayas India. Lowest average bulk density (D_b) of 0.95 was found same in S3 (σ ± 0.07) and S5 (σ ± 0.09) and highest D_b (1.08) was observed in S2 (σ ± 0.05). A relatively higher coarse fraction was observed in all the six strata ranging from 19.23 (SD ± 4.66) in S3 to 29.37 (σ ± 6.12) in S6. Soil pH ranged from 6.09 (σ ± 0.64) in S4 to 6.97 (σ ± 0.53) in S2. The region under biotic interference has observed significant deforestation and degradation in the past two decades leading to lower SOC% values compared to other studies in the adjoining regions of Indian Himalayas and Temperate Coniferous Forests in general. SOC% values were observed to range from 1.03 (σ ± 0.22) in S2 to 2.25 (σ ± 0.23) in S3. SOC density ranged between 25.11 (σ ± 5.41) t ha^-1 in S2 and 51.93 (σ ± 5.24) t ha^-1 in S3. SOC CO2 mitigation density was found highest 190.59 (σ ± 19.23) t ha^-1 in S3 and lowest 92.16 (σ ± 19.86) t ha^-1 in S2. A significant variation was observed in SOC density within strata. SOC density values in closed strata in general exceed to those in open strata. Primary results indicate that the average SOC stock for all the strata is low due to continuous biotic pressure in the last two decades making it a potential region for SOC buildup under plus options of REDD + (Reducing emissions from deforestation and forest degradation) which includes conservation, sustainable management of Forests and enhancement of forest carbon (C) stocks.
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Estimating soil carbon storage and mitigation under Temperate Coniferous Forests in the southern region of Kashmir Himalayas
Mitigation and Adaptation Strategies for Global Change, 2013Co-Authors: Akhlaq Amin Wani, Pawan Kumar Joshi, Ombir Singh, J. A. BhatAbstract:Soil physical and chemical properties were quantified to assess soil organic carbon (SOC) density (t ha -1 ) and SOC CO2 mitigation (t ha -1 ) under six forest strata Cedrus deodara (closed) (S1), Cedrus deodara (open) (S2), Abies pindrow-Picea smithiana (closed) (S3), Abies pindrow-Picea smithiana (open) (S4), Pinus wallichiana (closed) (S5) and Pinus wallichiana (open) (S6) in the southern region of Kashmir Himalayas India. Lowest average bulk density (D b ) of 0.95 was found same in S3 (σ ± 0.07) and S5 (σ ± 0.09) and highest D b (1.08) was observed in S2 (σ ± 0.05). A relatively higher coarse fraction was observed in all the six strata ranging from 19.23 (SD ± 4.66) in S3 to 29.37 (σ ± 6.12) in S6. Soil pH ranged from 6.09 (σ ± 0.64) in S4 to 6.97 (σ ± 0.53) in S2. The region under biotic interference has observed significant deforestation and degradation in the past two decades leading to lower SOC% values compared to other studies in the adjoining regions of Indian Himalayas and Temperate Coniferous Forests in general. SOC% values were observed to range from 1.03 (σ ± 0.22) in S2 to 2.25 (σ ± 0.23) in S3. SOC density ranged between 25.11 (σ ± 5.41) t ha -1 in S2 and 51.93 (σ ± 5.24) t ha -1 in S3. SOC CO2 mitigation density was found highest 190.59 (σ ± 19.23) t ha -1 in S3 and lowest 92.16 (σ ± 19.86) t ha -1 in S2. A significant variation was observed in SOC density within strata. SOC density values in closed strata in general exceed to those in open strata. Primary results indicate that the average SOC stock for all the strata is low due to continuous biotic pressure in the last two decades making it a potential region for SOC buildup under plus options of REDD + (Reducing emissions from deforestation and forest degradation) which includes conservation, sustainable management of Forests and enhancement of forest carbon (C) stocks. Copyright Springer Science+Business Media Dordrecht 2014
Akhlaq Amin Wani - One of the best experts on this subject based on the ideXlab platform.
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Estimating biomass and carbon mitigation of Temperate Coniferous Forests using spectral modeling and field inventory data
Ecological Informatics, 2015Co-Authors: Akhlaq Amin Wani, Pawan Kumar Joshi, Ombir SinghAbstract:Abstract Realizing the importance of forest carbon monitoring and reporting in climate change, the present study was conducted to derive spectrally modeled aboveground biomass and mitigation using Landsat data in combination with sampled field inventory data in the Coniferous Forests of Western Himalaya. After conducting preliminary survey in 2009, 90 quadrats (45 each for calibration and validation) of 0.1 ha were laid in six forest types for recording field inventory data viz. diameter at breast height, height, slope and aspect. Biomass carbon (Mg ha− 1) was worked out for different forest types and crown density classes (open with 10–40% crown density and closed with > 40% crown density) using recommended volume equations, ratios and factors. Biomass carbon map (aboveground + belowground) was generated for the entire region using geospatial techniques. Normalized difference vegetation index (NDVI) was generated and spectral values were extracted to establish relation (R2 = 0.72, p
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Estimating soil carbon storage and mitigation under Temperate Coniferous Forests in the southern region of Kashmir Himalayas
Mitigation and Adaptation Strategies for Global Change, 2014Co-Authors: Akhlaq Amin Wani, Pawan Kumar Joshi, Ombir Singh, J. A. BhatAbstract:Soil physical and chemical properties were quantified to assess soil organic carbon (SOC) density (t ha^-1) and SOC CO2 mitigation (t ha^-1) under six forest strata Cedrus deodara (closed) (S1), Cedrus deodara (open) (S2), Abies pindrow-Picea smithiana (closed) (S3), Abies pindrow-Picea smithiana (open) (S4), Pinus wallichiana (closed) (S5) and Pinus wallichiana (open) (S6) in the southern region of Kashmir Himalayas India. Lowest average bulk density (D_b) of 0.95 was found same in S3 (σ ± 0.07) and S5 (σ ± 0.09) and highest D_b (1.08) was observed in S2 (σ ± 0.05). A relatively higher coarse fraction was observed in all the six strata ranging from 19.23 (SD ± 4.66) in S3 to 29.37 (σ ± 6.12) in S6. Soil pH ranged from 6.09 (σ ± 0.64) in S4 to 6.97 (σ ± 0.53) in S2. The region under biotic interference has observed significant deforestation and degradation in the past two decades leading to lower SOC% values compared to other studies in the adjoining regions of Indian Himalayas and Temperate Coniferous Forests in general. SOC% values were observed to range from 1.03 (σ ± 0.22) in S2 to 2.25 (σ ± 0.23) in S3. SOC density ranged between 25.11 (σ ± 5.41) t ha^-1 in S2 and 51.93 (σ ± 5.24) t ha^-1 in S3. SOC CO2 mitigation density was found highest 190.59 (σ ± 19.23) t ha^-1 in S3 and lowest 92.16 (σ ± 19.86) t ha^-1 in S2. A significant variation was observed in SOC density within strata. SOC density values in closed strata in general exceed to those in open strata. Primary results indicate that the average SOC stock for all the strata is low due to continuous biotic pressure in the last two decades making it a potential region for SOC buildup under plus options of REDD + (Reducing emissions from deforestation and forest degradation) which includes conservation, sustainable management of Forests and enhancement of forest carbon (C) stocks.
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Estimating biomass and carbon mitigation in Temperate Coniferous Forests using spectral modeling and field inventory data
2014Co-Authors: Akhlaq Amin Wani, Pawan Kumar Joshi, Ombir SinghAbstract:Realizing the importance of forest carbon monitoring and reporting in climate change, the present study was conducted to derive spectrally modeled aboveground biomass and mitigation using Landsat data in combination with sampled field inventory data in the Coniferous Forests of Western Himalaya. After conducting preliminary survey 45 quadrates of 0.1 ha were laid in six forest types for recording field inventory data viz. diameter at breast height, height, slope and aspect. Volume (m3 ha-1), biomass, carbon and biomass carbon mitigation in (t ha-1) were worked out for different forest types and crown density classes (open with 10-40 % crown density and closed with > 40 % crown density) using recommended volume equations, ratios and factors. Density maps for aboveground (AG) and belowground (BG) biomass, carbon and mitigation were generated for the entire region using geospatial techniques. Normalized difference vegetation index (NDVI) was generated and spectral values were extracted to establish relation (R2 = 0.72, r = 0.85, p< 0.05) with the field inventory data. The model developed was validated (R2 = 0.72) with 45 sample observations not used earlier for predicting and generating biomass and mitigation maps for the entire region. The data revealed maximum biomass density (AG + BG) 342.81 t ha-1(Iƒ = 46.38) for Fir-Spruce (closed) strata and was found to be significantly higher than other forest types. CO2 mitigation values estimated showed maximum value 629.05 t ha-1 (Iƒ = 86.87) for Fir-Spruce (closed) and minimum 136.34 t ha-1 (Iƒ = 43.37) for Blue Pine (open). The NDVI values for the entire region ranged from 0-0.62 and consequently the spectrally derived biomass (AG) varied from 0-800 t ha-1. The study demonstrates the application of spectral responses and sampled field inventory in Temperate Coniferous Forests for assessment of stratified biomass and carbon mitigation.
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Estimating soil carbon storage and mitigation under Temperate Coniferous Forests in the southern region of Kashmir Himalayas
Mitigation and Adaptation Strategies for Global Change, 2013Co-Authors: Akhlaq Amin Wani, Pawan Kumar Joshi, Ombir Singh, J. A. BhatAbstract:Soil physical and chemical properties were quantified to assess soil organic carbon (SOC) density (t ha -1 ) and SOC CO2 mitigation (t ha -1 ) under six forest strata Cedrus deodara (closed) (S1), Cedrus deodara (open) (S2), Abies pindrow-Picea smithiana (closed) (S3), Abies pindrow-Picea smithiana (open) (S4), Pinus wallichiana (closed) (S5) and Pinus wallichiana (open) (S6) in the southern region of Kashmir Himalayas India. Lowest average bulk density (D b ) of 0.95 was found same in S3 (σ ± 0.07) and S5 (σ ± 0.09) and highest D b (1.08) was observed in S2 (σ ± 0.05). A relatively higher coarse fraction was observed in all the six strata ranging from 19.23 (SD ± 4.66) in S3 to 29.37 (σ ± 6.12) in S6. Soil pH ranged from 6.09 (σ ± 0.64) in S4 to 6.97 (σ ± 0.53) in S2. The region under biotic interference has observed significant deforestation and degradation in the past two decades leading to lower SOC% values compared to other studies in the adjoining regions of Indian Himalayas and Temperate Coniferous Forests in general. SOC% values were observed to range from 1.03 (σ ± 0.22) in S2 to 2.25 (σ ± 0.23) in S3. SOC density ranged between 25.11 (σ ± 5.41) t ha -1 in S2 and 51.93 (σ ± 5.24) t ha -1 in S3. SOC CO2 mitigation density was found highest 190.59 (σ ± 19.23) t ha -1 in S3 and lowest 92.16 (σ ± 19.86) t ha -1 in S2. A significant variation was observed in SOC density within strata. SOC density values in closed strata in general exceed to those in open strata. Primary results indicate that the average SOC stock for all the strata is low due to continuous biotic pressure in the last two decades making it a potential region for SOC buildup under plus options of REDD + (Reducing emissions from deforestation and forest degradation) which includes conservation, sustainable management of Forests and enhancement of forest carbon (C) stocks. Copyright Springer Science+Business Media Dordrecht 2014
Kaiwen Pan - One of the best experts on this subject based on the ideXlab platform.
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Past and future climatic indicators for distribution patterns and conservation planning of Temperate Coniferous Forests in southwestern China
Ecological Indicators, 2019Co-Authors: Mohammed A. Dakhil, Qinli Xiong, Emad A. Farahat, Lin Zhang, Kaiwen Pan, Bikram Pandey, Olusanya Abiodun Olatunji, Akash Tariq, Aiping ZhangAbstract:Abstract The distribution of Forests can be hindcast or forecast when robust data and validation proofs are available. Distribution consequences for Temperate Coniferous Forests during the Quaternary and future climatic fluctuations are little understood in China. Temperate Coniferous Forests are subdivided into two types where Pinus, Keteleeria, Tsuga and Cupressus species characterize the warm Forests while Abies, Picea, Larix and Juniperus species characterize the cold Forests. Both forest types were investigated using 12,675 unique records in the MaxEnt model to infer distribution patterns during six time periods: the present time, mid-Holocene, Last Glacial Maximum, Last Interglacial and the near- and far-future (2050, 2070). The results showed that the mean temperature of the driest quarter, followed by the temperature annual range and the precipitation of the warmest quarter were the most important variables controlling Forests distribution. Suitable areas capable of supporting the presence of warm Coniferous Forests were highly contracted during the Quaternary; meanwhile, the cold Coniferous Forests expanded westwards from the last glacial maximum through the mid-Holocene to the present. The predicted future distributions showed a significant range-shift of warm Forests northeastwards in response to climate change while cold Coniferous Forests are expected to migrate towards the Tibetan Plateau. Under increased global warming, the bioclimatic variables of the past and future periods were used as ecological indicators for the identification of areas showing “climatic stability”, and predicted to be refugia for Coniferous Forests and as good tools for conservation planning in Sichuan and the Hengduan-Tibetan migration corridor.
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Large-scale patterns of distribution and diversity of terrestrial nematodes
Applied Soil Ecology, 2017Co-Authors: Dagang Song, Lin Zhang, Kaiwen Pan, Akash Tariq, Feng Sun, Xiaoming Sun, Olatunji Abiodun OlusanyaAbstract:Abstract Latitude, climate and vegetation type are key factors in the distribution of soil nematodes. The diversity of most aboveground organisms increases with decreasing latitude, but the macro-ecological diversity and geographic distribution patterns of belowground animals have been poorly studied. The large-scale geographic distribution patterns of soil nematodes were examined in terms of their abundance and their driving forces, with a view towards ascertaining whether the large-scale patterns (LSP) of distribution and diversity of soil nematodes were driven by latitude, climate and vegetation type. A literature review representing multiple vegetation types across latitudinal gradients was conducted, and information was gathered pertaining to soil nematodes throughout the globe. Different databases, such as Google Scholar, Web of Sciences, Scopus and PubMed, were searched to collect data published in English-language journals. A correlational analysis between soil nematode diversity and latitude, mean annual precipitation and mean annual temperature was performed. The present review also compared the abundance and genus of soil nematodes among different vegetation types. The LSP of the soil nematodes was unimodal, and a higher nematode abundance was recorded at latitudes between 30 and 55°. A significant correlation was observed between the latitude and species richness index, whereas latitude explained 65.9% of the variation in the species richness index across plots. Nematode abundance showed a distinct peak at a mean annual temperature of approximately 8 °C, but no significant correlation was found between the nematode abundance and mean annual precipitation. The highest mean value of soil nematode abundance was recorded in Temperate Coniferous Forests, followed by tropical forest, grassland, Temperate broadleaf forest, crop field and garden, desert and polar vegetation types. The mature index of soil nematodes was negatively correlated with latitude. A redundancy analysis (RDA) showed that the composition of the trophic group of the soil was greatly influenced by latitude (LA) and mean annual precipitation (MAP). The number of the soil nematode genera was found to be highest in Temperate broadleaf Forests, followed by tropical forest, grassland, Temperate Coniferous forest, crop field and garden, desert and polar vegetation types. Soil nematodes exhibited large-scale distribution patterns along latitudes on a global scale as a result of hydrothermal conditions, plant growth and human activities.
Lin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Past and future climatic indicators for distribution patterns and conservation planning of Temperate Coniferous Forests in southwestern China
Ecological Indicators, 2019Co-Authors: Mohammed A. Dakhil, Qinli Xiong, Emad A. Farahat, Lin Zhang, Kaiwen Pan, Bikram Pandey, Olusanya Abiodun Olatunji, Akash Tariq, Aiping ZhangAbstract:Abstract The distribution of Forests can be hindcast or forecast when robust data and validation proofs are available. Distribution consequences for Temperate Coniferous Forests during the Quaternary and future climatic fluctuations are little understood in China. Temperate Coniferous Forests are subdivided into two types where Pinus, Keteleeria, Tsuga and Cupressus species characterize the warm Forests while Abies, Picea, Larix and Juniperus species characterize the cold Forests. Both forest types were investigated using 12,675 unique records in the MaxEnt model to infer distribution patterns during six time periods: the present time, mid-Holocene, Last Glacial Maximum, Last Interglacial and the near- and far-future (2050, 2070). The results showed that the mean temperature of the driest quarter, followed by the temperature annual range and the precipitation of the warmest quarter were the most important variables controlling Forests distribution. Suitable areas capable of supporting the presence of warm Coniferous Forests were highly contracted during the Quaternary; meanwhile, the cold Coniferous Forests expanded westwards from the last glacial maximum through the mid-Holocene to the present. The predicted future distributions showed a significant range-shift of warm Forests northeastwards in response to climate change while cold Coniferous Forests are expected to migrate towards the Tibetan Plateau. Under increased global warming, the bioclimatic variables of the past and future periods were used as ecological indicators for the identification of areas showing “climatic stability”, and predicted to be refugia for Coniferous Forests and as good tools for conservation planning in Sichuan and the Hengduan-Tibetan migration corridor.
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Large-scale patterns of distribution and diversity of terrestrial nematodes
Applied Soil Ecology, 2017Co-Authors: Dagang Song, Lin Zhang, Kaiwen Pan, Akash Tariq, Feng Sun, Xiaoming Sun, Olatunji Abiodun OlusanyaAbstract:Abstract Latitude, climate and vegetation type are key factors in the distribution of soil nematodes. The diversity of most aboveground organisms increases with decreasing latitude, but the macro-ecological diversity and geographic distribution patterns of belowground animals have been poorly studied. The large-scale geographic distribution patterns of soil nematodes were examined in terms of their abundance and their driving forces, with a view towards ascertaining whether the large-scale patterns (LSP) of distribution and diversity of soil nematodes were driven by latitude, climate and vegetation type. A literature review representing multiple vegetation types across latitudinal gradients was conducted, and information was gathered pertaining to soil nematodes throughout the globe. Different databases, such as Google Scholar, Web of Sciences, Scopus and PubMed, were searched to collect data published in English-language journals. A correlational analysis between soil nematode diversity and latitude, mean annual precipitation and mean annual temperature was performed. The present review also compared the abundance and genus of soil nematodes among different vegetation types. The LSP of the soil nematodes was unimodal, and a higher nematode abundance was recorded at latitudes between 30 and 55°. A significant correlation was observed between the latitude and species richness index, whereas latitude explained 65.9% of the variation in the species richness index across plots. Nematode abundance showed a distinct peak at a mean annual temperature of approximately 8 °C, but no significant correlation was found between the nematode abundance and mean annual precipitation. The highest mean value of soil nematode abundance was recorded in Temperate Coniferous Forests, followed by tropical forest, grassland, Temperate broadleaf forest, crop field and garden, desert and polar vegetation types. The mature index of soil nematodes was negatively correlated with latitude. A redundancy analysis (RDA) showed that the composition of the trophic group of the soil was greatly influenced by latitude (LA) and mean annual precipitation (MAP). The number of the soil nematode genera was found to be highest in Temperate broadleaf Forests, followed by tropical forest, grassland, Temperate Coniferous forest, crop field and garden, desert and polar vegetation types. Soil nematodes exhibited large-scale distribution patterns along latitudes on a global scale as a result of hydrothermal conditions, plant growth and human activities.
Akash Tariq - One of the best experts on this subject based on the ideXlab platform.
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Past and future climatic indicators for distribution patterns and conservation planning of Temperate Coniferous Forests in southwestern China
Ecological Indicators, 2019Co-Authors: Mohammed A. Dakhil, Qinli Xiong, Emad A. Farahat, Lin Zhang, Kaiwen Pan, Bikram Pandey, Olusanya Abiodun Olatunji, Akash Tariq, Aiping ZhangAbstract:Abstract The distribution of Forests can be hindcast or forecast when robust data and validation proofs are available. Distribution consequences for Temperate Coniferous Forests during the Quaternary and future climatic fluctuations are little understood in China. Temperate Coniferous Forests are subdivided into two types where Pinus, Keteleeria, Tsuga and Cupressus species characterize the warm Forests while Abies, Picea, Larix and Juniperus species characterize the cold Forests. Both forest types were investigated using 12,675 unique records in the MaxEnt model to infer distribution patterns during six time periods: the present time, mid-Holocene, Last Glacial Maximum, Last Interglacial and the near- and far-future (2050, 2070). The results showed that the mean temperature of the driest quarter, followed by the temperature annual range and the precipitation of the warmest quarter were the most important variables controlling Forests distribution. Suitable areas capable of supporting the presence of warm Coniferous Forests were highly contracted during the Quaternary; meanwhile, the cold Coniferous Forests expanded westwards from the last glacial maximum through the mid-Holocene to the present. The predicted future distributions showed a significant range-shift of warm Forests northeastwards in response to climate change while cold Coniferous Forests are expected to migrate towards the Tibetan Plateau. Under increased global warming, the bioclimatic variables of the past and future periods were used as ecological indicators for the identification of areas showing “climatic stability”, and predicted to be refugia for Coniferous Forests and as good tools for conservation planning in Sichuan and the Hengduan-Tibetan migration corridor.
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Large-scale patterns of distribution and diversity of terrestrial nematodes
Applied Soil Ecology, 2017Co-Authors: Dagang Song, Lin Zhang, Kaiwen Pan, Akash Tariq, Feng Sun, Xiaoming Sun, Olatunji Abiodun OlusanyaAbstract:Abstract Latitude, climate and vegetation type are key factors in the distribution of soil nematodes. The diversity of most aboveground organisms increases with decreasing latitude, but the macro-ecological diversity and geographic distribution patterns of belowground animals have been poorly studied. The large-scale geographic distribution patterns of soil nematodes were examined in terms of their abundance and their driving forces, with a view towards ascertaining whether the large-scale patterns (LSP) of distribution and diversity of soil nematodes were driven by latitude, climate and vegetation type. A literature review representing multiple vegetation types across latitudinal gradients was conducted, and information was gathered pertaining to soil nematodes throughout the globe. Different databases, such as Google Scholar, Web of Sciences, Scopus and PubMed, were searched to collect data published in English-language journals. A correlational analysis between soil nematode diversity and latitude, mean annual precipitation and mean annual temperature was performed. The present review also compared the abundance and genus of soil nematodes among different vegetation types. The LSP of the soil nematodes was unimodal, and a higher nematode abundance was recorded at latitudes between 30 and 55°. A significant correlation was observed between the latitude and species richness index, whereas latitude explained 65.9% of the variation in the species richness index across plots. Nematode abundance showed a distinct peak at a mean annual temperature of approximately 8 °C, but no significant correlation was found between the nematode abundance and mean annual precipitation. The highest mean value of soil nematode abundance was recorded in Temperate Coniferous Forests, followed by tropical forest, grassland, Temperate broadleaf forest, crop field and garden, desert and polar vegetation types. The mature index of soil nematodes was negatively correlated with latitude. A redundancy analysis (RDA) showed that the composition of the trophic group of the soil was greatly influenced by latitude (LA) and mean annual precipitation (MAP). The number of the soil nematode genera was found to be highest in Temperate broadleaf Forests, followed by tropical forest, grassland, Temperate Coniferous forest, crop field and garden, desert and polar vegetation types. Soil nematodes exhibited large-scale distribution patterns along latitudes on a global scale as a result of hydrothermal conditions, plant growth and human activities.
