Dr. Siti Badriyah Rushayati Profile

Dr. Siti Badriyah Rushayati

at IPB Univ

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 24 December 2019 Paper

Short-term projection of Bornean orangutan spatial distribution based on climate and land cover change scenario

A. Adhi Condro, Lilik Prasetyo, Siti Rushayati

Proceedings Volume 11372, 113721B (2019) https://doi.org/10.1117/12.2541633

KEYWORDS: Climatology, Climate change, Atmospheric modeling, Animal model studies, Data modeling, Modeling

Read Abstract +

Primates, the closest living biological relatives with human, play the important roles in the livelihoods, human-health, and ecosystem services. In the Anthropocene, populations of 75% of primate species are decreasing globally – due to cultivation activities, logging harvesting, hunting, and climate change. In this study, we focus on Bornean orangutan (Pongo pygmaeus) as the global conservation icons. Hence, understanding Bornean orangutan’s distribution dynamics is crucial regarding to conservation and climate mitigation strategies. The objectives of this study are: (1) to predict current and future spatial distribution of orangutan in Borneo using pessimistic climate model and land cover projection as well; (2) to identify spatial dynamics of Bornean orangutan distribution due to climate and land cover change in 2030. Species distribution modelling of baseline and future scenario was performed using logistic regression model. Land cover categories and climate parameters (i.e. annual temperature and precipitation) were used for model predictors. Presence points of observed primate species were retrieved from Ministry of Environment and Forestry Indonesia (MoEF). We used WorldClim v2.0 annual temperature and precipitation data for the baseline and CMIP5 MIROC-ESM model RCP8.5 2030 for the future climate scenario. We performed cellular automata algorithm to retrieve 2030 projected land-use for the future. Distance to road and distance to selected important land covers were used for transition potential modelling of land cover projection. Generally, the prediction shows that suitable habitat of Bornean orangutan will decrease in 2030. However, we found the gain of suitable area of Bornean orangutan. Findings of this study should support the identification of priority conservation area of Bornean orangutan for the future and wildlife corridor management planning.

Proceedings Article | 24 December 2019 Paper

Estimation of biomass and carbon deposits in the Mount Tampomas Sumedang protected forest area in West Java

L. Siti Nuraeni, Siti B. Rushayati, Yudi Setiawan

Proceedings Volume 11372, 1137211 (2019) https://doi.org/10.1117/12.2539098

KEYWORDS: Carbon, Vegetation, Earth observing sensors, Biological research, Image processing, Landsat, Java, Photosynthesis, Atmospheric modeling, Image fusion

Read Abstract +

Increased carbon dioxide in the atmosphere causes the surface temperature of the earth to warm up and has a major impact on climate change globally. Plants in the forest as the biggest absorber of carbon dioxide used in the process of photosynthesis, then the results are stored in the form of biomass in plant organ tissues. The purpose of the study was to estimate biomass and carbon storage in the Mount Tampomas Protected Forest Area in Sumedang, West Java. Mount Tampomas protected forest area is divided into areas dominated by pine plant species (Pinus merkusii) and mixed jungles. In the two regions the NDVI class was classified into 5 classes as the basis for calculating the stand density, biomass and carbon storage. The relationship between NDVI classes and stand densities can be demonstrated by linear and quadratic regression models. The quadratic regression model has r of 0.79 while the linear regression model of 0.78. Quadratic regression model is the best model to connect the NDVI class and stand density, where the NDVI class and stand density are very strongly related. The total biomass and carbon deposits sequentially in protected forest areas dominated by pine are 132,613.79 tons and 62,328.48 tons C, while the total biomass and carbon deposits sequentially in mixed forest protected areas are 64,682.95 tons and 30,400.99 tons C, so that the total biomass and carbon storage sequentially in the Mount Tampomas Protected Forest Area are 197,296.74 tons and 92,729.47 tons C.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years