Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with decreasing trends (<i>... by Oswaldo Maillard (20660661)

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

“…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. …”

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically si... by Oswaldo Maillard (20660661)

Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with increasing trends (<i>... by Oswaldo Maillard (20660661)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

The correlation coefficient (<i>r</i>) between NDVI values and the seasonal series (2001–2020) of maximum air temperature (Tmax), precipitation (P), and vapor pressure deficit (VPD... by Oswaldo Maillard (20660661)

A visual comparison of the associated resistance data from Table 1 with the values of <i>k</i>_cat, <i>K</i>_M, catalytic efficiency (<i>k</i>_cat/<i>... by J. Roadnight Sheehan (20141887)

Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”

Influencing factors of APCA. by Wenping Ning (19871091)

“…Finally, the driving mechanism of APCA is explored with the panel quantile model.</p><p>Results</p><p>1) The average value of APCA of the main producing provinces increased from 1.330 in 2013 to 1.419 in 2022. 2) The probabilities of provinces with low, primary and middle level of advantage jumping to the next level are 31.58%, 16.67% and 11.76%, respectively. …”

Temporal trends in APCA. by Wenping Ning (19871091)

“…Finally, the driving mechanism of APCA is explored with the panel quantile model.</p><p>Results</p><p>1) The average value of APCA of the main producing provinces increased from 1.330 in 2013 to 1.419 in 2022. 2) The probabilities of provinces with low, primary and middle level of advantage jumping to the next level are 31.58%, 16.67% and 11.76%, respectively. …”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…Finally, the driving mechanism of APCA is explored with the panel quantile model.</p><p>Results</p><p>1) The average value of APCA of the main producing provinces increased from 1.330 in 2013 to 1.419 in 2022. 2) The probabilities of provinces with low, primary and middle level of advantage jumping to the next level are 31.58%, 16.67% and 11.76%, respectively. …”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…Finally, the driving mechanism of APCA is explored with the panel quantile model.</p><p>Results</p><p>1) The average value of APCA of the main producing provinces increased from 1.330 in 2013 to 1.419 in 2022. 2) The probabilities of provinces with low, primary and middle level of advantage jumping to the next level are 31.58%, 16.67% and 11.76%, respectively. …”

Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

“…Finally, the driving mechanism of APCA is explored with the panel quantile model.</p><p>Results</p><p>1) The average value of APCA of the main producing provinces increased from 1.330 in 2013 to 1.419 in 2022. 2) The probabilities of provinces with low, primary and middle level of advantage jumping to the next level are 31.58%, 16.67% and 11.76%, respectively. …”

Carbon (<i>δ</i>¹³C) and nitrogen (<i>δ</i>¹⁵N) isotope data from bone collagen from archaeological fauna and modern plants in the isthmus area, including Cos... by Ashley E. Sharpe (8681484)

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) for the two hemispheres. by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trends of NDVI in burned areas across Africa, by countries and territories (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) by countries and territories. by Oswaldo Maillard (20660661)