男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影

Giant panda conservation efforts lead to population growth

By Yan Dongjie | chinadaily.com.cn | Updated: 2024-10-24 20:45
Share
Share - WeChat
Researchers recorded data during the fourth giant panda census. [Photo provided to chinadaily.com.cn]

"Population assessment is a challenge in wildlife conservation research, especially for forest dwelling animals like giant pandas, which are often difficult to directly observe and count, and can only be assessed through collecting relevant trace information," said Xu Weihua, vice-president of the Institute of National Parks.

In the third national giant panda survey that started in 1999 and the fourth that started in 2011, researchers set up survey lines every two square kilometers in key areas within the panda distribution range. In areas with fewer pandas, survey lines were set up every six sq km.

"This is a high-intensity information gathering density. Surveyors collected data on panda feces, bite marks, and used distance and bite mark differentiation methods for a comprehensive analysis to evaluate the population of giant pandas nationwide," Xu said, noting that both methods are scientifically validated and effective for conducting surveys on wild populations.

The distance differentiation method involves calculating the distance between panda trace points obtained during field surveys, such as feces, footprints and hair, to determine if they come from the same panda, thereby confirming the number of pandas in the area.

"Giant pandas are solitary animals, and except during mating and seasonal vertical migration periods, their movement within a certain time frame is limited and stable. By determining the home range and dispersal ability of giant pandas, we can confirm whether trace points belong to the same panda. If the distance between two trace points exceeds the normal activity range of a giant panda, it is preliminarily determined that there is more than one panda in the area," said Xu explaining the scientific basis of this method.

|<< Previous 1 2 3 4 Next   >>|
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
主站蜘蛛池模板: 双辽市| 金华市| 卓资县| 榕江县| 吉林市| 宜城市| 江安县| 广州市| 青田县| 孙吴县| 万源市| 微山县| 江华| 宁海县| 日照市| 和顺县| 罗山县| 武胜县| 贺州市| 龙川县| 伊川县| 永善县| 兴山县| 西峡县| 开江县| 武义县| 霍山县| 乳源| 信宜市| 铁力市| 彩票| 忻城县| 贺兰县| 翁源县| 惠来县| 苗栗县| 长宁区| 鸡泽县| 翼城县| 安乡县| 瓦房店市| 南涧| 剑川县| 孝义市| 栾川县| 朔州市| 磐石市| 沧源| 昆山市| 丽水市| 监利县| 宁强县| 台东县| 东辽县| 北京市| 法库县| 阳城县| 仪陇县| 金阳县| 都兰县| 哈巴河县| 建始县| 苏尼特左旗| 新宁县| 徐闻县| 景东| 缙云县| 安福县| 平潭县| 大竹县| 济阳县| 兴国县| 贡觉县| 白玉县| 沾化县| 曲麻莱县| 和政县| 昆山市| 大姚县| 梨树县| 姜堰市| 镇安县|