Update README.md

README.md

@@ -85,7 +85,7 @@ The dataset includes the following key parameters:
 ### Dataset Description
 
 High Carbon Stock Approach (HCSA): The dataset contains forest field plot data collected following the HCSA methodology, a widely recognized approach for assessing and managing forest carbon stocks. 
-A more detailed description of HCSA forest inventory methods can be found in the [ HCSA Toolkit Module 4](https://highcarbonstock.org/wp-content/uploads/2017/09/HCSA-Toolkit-v2.0-Module-4-Forest-and-vegetation-stratification-190917-web.pdf).
+A more detailed description of HCSA forest inventory methods can be found in the [HCSA Toolkit Module 4](https://highcarbonstock.org/wp-content/uploads/2017/09/HCSA-Toolkit-v2.0-Module-4-Forest-and-vegetation-stratification-190917-web.pdf).
 
 - **Curated by:** High Carbon Stock Approach Foundation and JKPP 
 - **Funded by:** Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) Fair Forward Initiative - AI for all
@@ -117,7 +117,7 @@ Second, data collection serves as a valuable source of knowledge to inform the d
 
 - High Carbon Stock Approach (HCSA): The dataset is collected following the HCSA methodology, a widely recognized approach for assessing and managing forest carbon stocks. A more detailed description of HCSA forest inventory methods can be found in the [HCSA Toolkit Module 4](https://highcarbonstock.org/wp-content/uploads/2017/09/HCSA-Toolkit-v2.0-Module-4-Forest-and-vegetation-stratification-190917-web.pdf).
 
-- Data Collection Methods: Data was collected in partnership with "Jaringan Kerja Pemetaan Partisipatif", or [JKPP](https://jkpp.org/), the Indonesian Community Mapping Network with expertise in participatory mapping, spatial conflict advocacy and community land rights. Field Plot locations were identified in advance using GIS software. Transect start points are normally located at convenient positions along roads, rivers, canals or other access routes. The distance between plots is generally dictated by the scale of the study area. Where large forest areas are being sampled and inventory planners seek broader coverage, this distance will be increased. The distance between plots is usually either 75 m or 100 m, but there is no fixed rule (Figure 2) The same kind of plot is used for random, systematic and transect sampling. The recommended sample plot design is two concentric circles from a centre point with a total area of 500 m 2 or 0.05 ha. Circular plots are preferred to rectangular plots because they minimize the potential for error caused by slope factors and physical obstacles that may skew plot boundary lines. The focus of vegetation measurement is on large plant species, which usually comprise the large majority of AGB. Other forest carbon pools are not measured because they are either relatively small in size (e.g. forest understory) and do not store much carbon, or are difficult and expensive to assess (e.g. below-ground biomass, deadwood and soil organic matter). Large plant species are defined as those having a diameter at breast height (DBH) greater than or equal to 5 cm. This includes both tree and non-tree species. Breast height for the DBH measurement is defined as 1.3 metres. Large plant species (referred to as 'trees' for simplicity, but also including non-tree species such as some palms) are measured using the following steps: Identification of 'in' trees: A tree is defined as an 'in' tree if the centre of its stem at DBH is within the boundaries of the plot. Trees on the edge of the plot (borderline trees) must be checked using a nylon rope marked at the correct plot radii (see Figure 12). Flagging tape: Each tree is labelled with flagging tape. The label must indicate the tree number as recorded in the field book. DBH measurement: All trees greater or equal to 15 cm (forest inventory plot) DBH shall be measured in the large plot. In addition to the large trees, all trees greater than or equal to 5 cm (forest inventory plot) and less than 15 cm (forest inventory plot) DBH shall be measured in the small plot (see Figure 13). Height measurement: Depending on the eventual allometric equation used, it may also be necessary to measure total tree heights. Tree heights were measured with the Nikon Forestry Pro II Laser Rangefinder/Hypsometer. These calculate height automatically based on readings taken to the top and bottom of the tree, plus, in some cases, a reading of horizontal distance. Once the user is familiar with their mode of operation, these meters are practical to use and measurements can be carried out by one person (usually the team leader). Height measurement with clinometers is also possible but tends to be slow and more prone to error. Where allometrics require an estimate of total tree height, there are two options for generation of height data: measuring a subset of trees and then deriving a diameter-tree height regression from the measured trees, or direct measurement of all trees. Species: All trees measured in the plot must be identified to genus level and preferably to species level. This information is needed in the allometric equation, and to be able to describe forest composition and structure in a general way. As stated previously, botanists should be part of the field team; local names can be noted in the field book and translated to species names later on. If a genus cannot be identified, photographs and botanical samples must be collected and marked so that experts can identify them later. Data processing involves using lookup tables to determine specific tree wood density and using the allometric equation from Chave et al (2014) to convert to biomass, and from biomass/plot to biomass/ha [(see Chave, Jérôme, et al. "Improved allometric models to estimate the aboveground biomass of tropical trees.")](https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.12629)
+- Data Collection Methods: Data was collected in partnership with "Jaringan Kerja Pemetaan Partisipatif", or [JKPP](https://jkpp.org/), the Indonesian Community Mapping Network with expertise in participatory mapping, spatial conflict advocacy and community land rights. Field Plot locations were identified in advance using GIS software. Transect start points are normally located at convenient positions along roads, rivers, canals or other access routes. The distance between plots is generally dictated by the scale of the study area. Where large forest areas are being sampled and inventory planners seek broader coverage, this distance will be increased. The distance between plots is usually either 75 m or 100 m, but there is no fixed rule (Figure 2) The same kind of plot is used for random, systematic and transect sampling. The recommended sample plot design is two concentric circles from a centre point with a total area of 500 m 2 or 0.05 ha. Circular plots are preferred to rectangular plots because they minimize the potential for error caused by slope factors and physical obstacles that may skew plot boundary lines. The focus of vegetation measurement is on large plant species, which usually comprise the large majority of AGB. Other forest carbon pools are not measured because they are either relatively small in size (e.g. forest understory) and do not store much carbon, or are difficult and expensive to assess (e.g. below-ground biomass, deadwood and soil organic matter). Large plant species are defined as those having a diameter at breast height (DBH) greater than or equal to 5 cm. This includes both tree and non-tree species. Breast height for the DBH measurement is defined as 1.3 metres. Large plant species (referred to as 'trees' for simplicity, but also including non-tree species such as some palms) are measured using the following steps: Identification of 'in' trees: A tree is defined as an 'in' tree if the centre of its stem at DBH is within the boundaries of the plot. Trees on the edge of the plot (borderline trees) must be checked using a nylon rope marked at the correct plot radii (see Figure 12). Flagging tape: Each tree is labelled with flagging tape. The label must indicate the tree number as recorded in the field book. DBH measurement: All trees greater or equal to 15 cm (forest inventory plot) DBH shall be measured in the large plot. In addition to the large trees, all trees greater than or equal to 5 cm (forest inventory plot) and less than 15 cm (forest inventory plot) DBH shall be measured in the small plot (see Figure 13). Height measurement: Depending on the eventual allometric equation used, it may also be necessary to measure total tree heights. Tree heights were measured with the Nikon Forestry Pro II Laser Rangefinder/Hypsometer. These calculate height automatically based on readings taken to the top and bottom of the tree, plus, in some cases, a reading of horizontal distance. Once the user is familiar with their mode of operation, these meters are practical to use and measurements can be carried out by one person (usually the team leader). Height measurement with clinometers is also possible but tends to be slow and more prone to error. Where allometrics require an estimate of total tree height, there are two options for generation of height data: measuring a subset of trees and then deriving a diameter-tree height regression from the measured trees, or direct measurement of all trees. Species: All trees measured in the plot must be identified to genus level and preferably to species level. This information is needed in the allometric equation, and to be able to describe forest composition and structure in a general way. As stated previously, botanists should be part of the field team; local names can be noted in the field book and translated to species names later on. If a genus cannot be identified, photographs and botanical samples must be collected and marked so that experts can identify them later. Data processing involves using lookup tables to determine specific tree wood density and using the allometric equation from [Chave et. al, 2014](https://doi.org/10.1111/gcb.12629) to convert to biomass, and from biomass/plot to biomass/ha. 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65bf2dad5e342a230d088323/9s5au0OqkicMyDwVafXLc.png)
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65bf2dad5e342a230d088323/-Gxggd4tfMJsSlZhTGyzP.png)